$. 34o,

$. , , vol.32

/. 4s,

. C2$-1n3-c612,

. 52o@2$-cv2z$-/2@$ and . @o,

/. 4s,

. C2$-1n3-c612,

$. 52o@2$-a'g(d$-a'ggd$-a'gjde,

$. Xo2$-t=q@56,

. C2$-1n3-c612,

. 52o@2$-36,

, 5@$ 32$ @CV-ZS.V=N;-2$^=mC2$ >$ /6$ <-3NSCS;TN=2

. C2$-2@5$-ts, , p.5

. O5-s,

D. ,

. 32@$-@o,

. 5@$-32$-@cv-zs and . V=n,

$. @2/s,

$. C2=56-,

$. @$6o52o=@$a&apos;jgd and . A%,

. 5=2$xo2$/46o5s,

, 5@$.2O5$z5=2$N<6/ON2

. =25=so&lt;2$-.6@$, , vol.32, pp.3-5

. C2$-@-^;-t-c65-&lt;2$,

. 5=2$-32@$-cs565-s,

!. @@2@@12;5 and $. Bo;c5-s;-,

. ^d$2,

$. T6c2$&gt;$t6c2$,

$. 5n/, N1N32C-;2b$I/$2

$. 3o$-kz,

$. Ncs/s^-xo2$--,

. @o,

. S@2$-o, , vol.2, p.65

$. , 65-2;5$ >$ @S

$. ,

, $ 32$ 1-2Oh$ CS1.=2

. 3=2$-/2@$-t/oc5o65-s,

@. 3s,

C. ,

, 2;5-T-XO2@$ 32$ /4#G)U#I$ A#O=S.26;$ "25uS=a$ ST$ "65-S;6/$ ?, CV-ZS

. ^$-u2, , vol.2

&. ,

. @d$-s,

$. So=$--, , p.32

$. ,

/. ,

$. ,

$. , , vol.6, pp.3-5

. 5@$-1s12,

, 5@$ 32$ /6$ :SO=

. 3=2$-&gt;$-./o@-2o=@$-xo2@5-s;@b$-m2c-$,

$. 3s,

$. 92@$-52cv,

S. 1s,

$. =ncsc2$-34o,

$. 5=6-5212,

. C2$-1n3-c612,

, 52O@2$ 25$ 346O^12

. 52=$-/463vn@-s,

$. 3o$, 65-2;5$ 6O$ 5=6-5212;5b$`2//-^6

, $ 25$ @S

$. Nxo-,

. C2$-1n3-c612,

. 52o@2$-cv2z$-32@$ and . @o,

$. ,

. C2$-1n3-c612,

$. 52o@2$-&gt;$-*&amp;xe$-&lt;2=@o@$-llx and . @o, , p.25

$. O@e and $. ,

$. ,

. C2$-1n3-c612,

. O5-s,

$. Cv2z$/2@$, , pp.65-67

. 5@$[n;nt-c-,

/. N. , @QCV-65=-2$A'gjD$A'gkD$A'jgD$A'jkDb$$ $$$

, DZ, issue.9

. Cs1 and . S=5212,

. 5@$3o$, 65-2;5e$16-@$-/@$C=N2

$. 6&lt;2c$/2$, , pp.65-67

/. S^-c-2 and /. , =S

$. $32@ and . =n,

, C2$2;$521.@$=N2/$32@$, pp.65-67

, 5@$^=mC2$>$/6$1)@6

. 5n$2@5$o,

$. Cv6=^2$-32@$, , pp.65-67

$. 3n/-&lt;=n@$-6oh and $. , , pp.65-67

@. $. 2o5$-z5=2 and $. 12@o=n, , pp.6-12

, @S

. @$^=mc2$-&gt;$-o,

$. /. O@$-=6,

, 5=2$ /2$ @Q@5W12$ 32$ @6

, 5N$ 25$ /2$, pp.65-67

$. 6o$^=n$32@$3s, 2=@S;;6/-@N2$25$636.5N2$6O$CS;52h52$3O$.65-2;5e, $

C. ,

$. =2co/$-xo2$,

. So@$-6&lt;s,

@. 52cv,

S. ,

. 2=$-o-;-$-&lt;-@-s, , vol.2

$. ,

@. ,

/. ,

, $ 32$ /46O5S;S1-2$ 32@$ @O, pp.25-6552

, 5@$ 32$ @CV-ZS.V=N;-2$ 25$ XO-$ @4-;@C=-5$ 36

. @$-o,

, $25$, vol.36

. @$o,

$. , 2C5-T$32$=N56

@. ,

$. S@$-=2cv2=cv2@$^=mc2 and . 7o,

, $ /6;^O2$ 6

, ^/6-@2b$ I/$ 2h-@52$

. C2@$&gt;$n5o3-2=$=25=so&lt;n2@$@o=$7o,

. So@$6&lt;s,

S. ,

. Cs=2$-6@@sc-n@$-&gt;$-o,

$. 32@c=-.52o=$-k2?y$-52=1@$r$-/2@$-n$?16=5$-ys12@$oe,

. 56=q$-6@@2@@12,

$. Ncs/s^-xo2$--,

$. and $. To,

$. Ts;c5-s,

, M2=56

@. ,

S. ,

. 5n=2@@n2$o,

. @$=nc2,

, 52=<6//2$ 521.S=2/$ 3NT-;-$ 36

. 2@$-n5o32@$,

. Cs1 and . S=52, 1S, vol.5

. @$-32$-%&amp;$, , pp.65-67

. N=6/-@65-s,

$. =n@o/565@b$-#,

. 92@$-52cv,

S. N&lt;s/o2,

, M2=56

, =S

@. =n@$o$&lt;6^o212, , vol.5

3. @o,

. 92@$n5o32@$cs,

/. ,

. 5@$32$@cv-zs, $. V=n;-2b, and . Oco,

4. =s@ and . 2c5-t@$-@o=$-32@$-csvs=52@$,

@. ,

$. Cv6/, /2;^2b$#;$2TT25e$

, /2$ [=O-5$ 36

@. 3s,

$. N2@e and . 32@$-t=nxo2,

. C2@$-34ncv6, , vol.5

. 6^2$--;@ott-@6;52@e$-o,

$. 3nt6o5$, 32$ @56;36=3-@65-S

. $-32@$-c6.52o=@e$-32@$-@-^,

@. 34o,

$. Cs,

. 5@$-3o$, 65-2;5e$ 32$ /46C5-<-5N$ 1O@CO/6-=2b$ 92@$ <

. @$-1nc6,

. C2$32, QXO-@5e$C42@5$>$3-=2$/6$T=NXO2

, C2$ 16h-16/2$XO2$3S-5$CS, vol.52

$. @6$32@c=,

$. Ncv6, , vol.5

$. So=$-/,

. 5@$-2@5$-v6,

$. $-@-^;6oh and . Vq@-s/s^-xo2@$,

. C6o@2$xo-$, , vol.46

$. 6&lt;2c$, /6$.65VS/S^-2$12;56/2$N5O3-N2b$96

@. Nc-t-xo2$34o,

$. S^-xo2b and $. 76=$2h21,

. =q5v12$c6=3-6xo2$;42@5$.6@$@ and . Nc-t-xo2$34o,

S. ,

$. @6-@-=$/2 and $. Cs,

@. Cs,

$. Cs//2c5n2@$-34o,

, <6@-<2b$ M2@$ 2h612

@. &lt;s,

$. 34o, , vol.2

, =SCV2$ C65N^S=-2//2$ >$ O;2$ 6

@. ,

. $/46o^12, , p.565

$. Cs, , pp.6-6

, 8_:5J8I8:5, vol.7

. 5n^=2=$-/2@$-3s,

. 52@$,

. N&lt;6/o65-s,

@. So=$-cs;@5-5o2=$-o,

$. =st-/$-s,

. @s-^,

. 5w^=2$/2@$3s,

/. 2@$-3s,

$. $-c/-;-xo2$-25 and . 32@$-2h612,

. @$-cs1, /N12;56-=2@$ 25$ /2@$ =N@O/565@$ 32@$ 3-TTN=2

. 52@$n&lt;6/o65-s,

. @$=n6,

$. Ts=165$, , vol.6, p.6

$. ,

@. , , pp.3-5

, 52@$25$CS1./N12;56-=2@$6O$@O:25$3O$, pp.65-67

*. 9m, 778P:9N:("5M8I8N8:77:(@(( $ 94I, vol.52

@. , , pp.65-67

$. @s,

&. ,

, $ 34O;2$ 16/63-2e$ 342h./S-52=$ /2@$ =N@O/565@$ 32@$ 2h612

. @$-cs1, /N12;56-=2@e$ 32$ @SO1255=2$ 32$

. So&lt;2//2@$-vq and . S5vw@2@$, , vol.32, pp.3-6

@. , 2=@S;;6/-@N2@b$ 92$ @O-<-$ CS;52h5O6/-@N$ 25$ 2, /O@$

$. ,

$. Oe,

. 5n^=n@$-36,

@. Vs,

$. 34o,

$. 32@$;so&lt;2//2@$52cv,

S. ,

$. C63=n2b,

$. Sc5s, =2$ %&'ke$ /6$ Y6O52$ !O5S=-5N$ 32$ ?6

. @$-25$-/2@$-s,

$. @6,

$. 5n$-al&amp;%db and . 92@$-&apos;&amp;&apos;$,

$. ,

. X$-3s16,

. 2@$r$--;ts=165-s,

. O$-@6,

. 5n$-acs, , vol.2, p.5

$. 3o$-cs, , vol.52

. O$--,

$. Cs, , vol.52

. O$-n,

, N=N$ 25$ CS, vol.52

$. O$--;52=.=n5nde and . Cs,

. 92@$-@-5o65-s,

. 3n/-&lt;=n2@$.6=$o,

$. =st2@@-s,

. @$o,

$. Cs,

@. $. =nc-@b$g;$2, , pp.5-25

@. ,

$. %&amp;&apos;k$al&amp;ldb and $. ,

$. %&amp;&apos;,

. @2=&lt;-c2$@o=$/2@$@16=5 and . Vs;2@b$92@$, , pp.65-67

/. ,

@. =n, , p.32

. @$25$/2@$cv2=cv2o=@$6&lt;2c$o,

$. 3n./s-212 and ;. Xo-$.2o5$@21, , vol.5

@. Vs, , vol.2

$. @qcv-65=2$,

$. and $. %&amp;&apos;le$/,

-. , S@-5-T$1N3-C6/$CS112$n$5SO5$-;@5=O12;5e$6

$. So$6o5=2$6=5-c/2e$32@5-,

/. So=$-/4o,

@. @o-&lt;6,

. 52@$r$-&apos;d$,

$. Cs,

$. =s,

$. 34o,

$. 34o, , vol.2

$. V6,

, $ 32$

C. ,

$. So$-ts;c5-s;$, , vol.2

6. So$-34o,

. Ts=165-s,

@. 34o,

$. 34ncv6, , vol.5

@. $. =s&lt;2,

. Cs1.=-@$/2@$3s,

. @$34s=^6,

, ^$25$32$5-@@O@e$25$3S;5$/46C5-S

$. ,

. 42@5$-.6@$-s,

. O2$-.6=$-32@$-1sq2,

@. So$--11o,

S. 6=$-1n56,

. N@$&gt;$32@$o@6^2@$-n,

. @$-o,

. N@$-&gt;$-32@$-o@6^2@$-6q6, $ 5=6-5$ 6O$ 1S32$ 32$ <-2$ SO$ 6O$ [-2;)z5=2e$ ;2$ CS, vol.5

. @-e$c2552$,

, SO<2//2$=N^/212, p.565

$. 61w,

/. ,

, $ 25$ /6$ C2;5=6/-@65-S

. @$-o,

$. Vs,

. @$o,

, 52=$O;2$.=-@2$2

$. $cv6=^2b and . 92o=$-,

. 5n^=65-s,

@. Cs,

@. Cs,

$. 32@$, , pp.65-67

. 5@$-&gt;$-o,

@. $. , =S5SCS/2@$ -1./-XO2;5$ 32@$ CS, vol.5

. 52@$ and . So=$-/2@$, , pp.65-67

. 5@$r$--/@$,

&. and $. ,

. 52=$/463vn@-s,

$. 32@$, , pp.65-67

$. 5@$6oh$2@@6-@$c/-;-xo2@$al&amp;gdb,

$. C2e and . 6=^;2=$32@$5=6,

@. Xo-$,

$. Cs,

$. So$./o@-2o=@$6@,

$. C2 and . So=$,

@. $. @qcv-65=-xo2@b and $. Cs,

$. 32@$, , pp.3-6

. S@5-c@$ and . So=$xo2$/2@$, , pp.65-67

$. Cv6=^2$.6=$/2o=$6@@o=6;c2b and $. ,

$. H2/^-xo2e and $. 3s,

$. ,

. 5@$-@s, , vol.5

. @$-2;&lt;-=s,

$. Lj&amp;, . ^=so, and . 2@$, , vol.32, pp.3-6

, 5@$25$36

@. ,

. F=$-/, , vol.46

. S@5-xo2$32@$, , pp.65-67

. 5@$5=w@$vn5n=s^w,

. 2@$@o=,

$. Cs^,

$. ,

@. ,

. Cv6xo2$, 65-2;5e$ XO2/$ XO2$ @S-5$ /2O=$ 3-6^

$. S@5-cb,

. @$-o,

, @QCVS@SC-6/2e$/6$.=-@2$2

$. Cs1, 52$32$/6$@N<N=-5N$32$/6$.2=52$346O5S;S1-2$32@$, pp.65-67

. 5@$36,

. @$/2$t,

. @$@21,

@. Cs,

$. O5s,

, 52@$A3-52@$n$3-@C=-1-;6

$. 52@$od and . @s, , vol.5, pp.5-8

. 3n and . 6c212,

$. 32@$-1sq2,

$. ,

, 3N.2;36

. 52@$-@o=$-/2@$,

. 2@$-xo-$,

. C2$-3s, , vol.5

. S1-2d$,

$. N56,

. @-e$/2@$,

. C2$ui8$&apos;$&gt;$g$so&lt;=2,

$. #v-;-$3w@$/s=@$xo2$/2@$cs, , pp.3-5

$. @$34m^2$ak&amp;,

, @D$25$32$=N@-32

. C2$@s,

, @6//2$32$[6

$. @6/s,

$. Nxo-.n$32@$s,

. @56//n@$36,

$. ,

, $ 6O5S165-@N2$ 32$ /46O5S;S1-2$ 32@$, pp.65-67

$. ,

$. @o, 2=<-@Nb$ M2552$ N<6/O65-S

. @$o;$,

$. ,

$. Cso=@$6o$m2,

. 5=2$ys@, 56/-2=$3O$8SO<=6Qe$, vol.6

. $-/46cc2, , vol.56

. 5@$-@56, , vol.6552

$. 3o$-@5o3-s$,

$. O1n=-xo2$.so==6$z5=2 and . N52,

. 3o2$&gt;$5so@$/2@$, , pp.65-67

. 5@$, =N@2;56;5$32@$/-1-565-S

. So&lt;2//2@$52cv,

S. ,

/. 46o5s,

$. 2@5$o,

$. Cv6=^2$-32@$,

, @QCVS@SC-6/2$ XO-$ @2=S;5$ 3N

@. 4s,

. @n=2=$-36,

. 5@$-&gt;$, , pp.3-56

, C2e$ 36

. C2$-6cc=o2$-3o$, 65-2;5$ 36

@. @s, , vol.2

&. ,

. 2@$, =NCO=@2O=@$34O;2$=2CVO52$25$32$CS

. C2$1n3-c612,

, )>)3-=2$ NXO-<6/2

. N&lt;6/o65-s,

, =S

$. /. O@$-s,

/. ,

. 52=,

. 52@$-32$-@cv-zs, $. V=n;-2e, and . @s, , vol.5

, 652O=@$25$2

$. =n6/-5n$&lt;-=5o2//2b$#,

$. $so5=2e and /. O65-s,

$. and /. S^-xo2$i, , vol.56, p.56

. $-3n&lt;2/s,

. So&lt;2//2@$-52cv,

S. ,

. N$-&gt;$-5=6,

S. ,

. @$-6c5o2/@b$i/$,

. 5n$-.6=$-/2@$-16cv-,

. S=5@$-32@$,

. So&lt;2//2@$-52cv,

S. ,

. C2$-!=5-,

. 5n/ncs,

$. 2@5$,

. 5=n$-36,

, @$ /2$ 3=S-5$ CS11O;b$ #

$. %&amp;&apos;,

, 5N$ 6$

, $ 25$ 32$

. C2$-3o$-cs,

@. Cs, , p.2

, T-32;5-6/-5Ne$/6$5=6_6, 5N$32@$NCV6

/. 4s,

@. , 6=5-=$32$C6.52O=@e$56

, S1[=2O@2@$N5O32@$S;5$N5N$=N6/-@N2@e$@O=$32$.25-5@$2TT2C5-T@$32$, pp.65-67

$. =n@o/565@$,

$. C2@$-so5-/@$-52cv,

S. ,

$. C63=2$-3ns,

@. , 65-2;5@b$#

$. %&amp;&apos;, ke$/6$Y6O52$!O5S=-5N$32$?6

$. =ntn=2, , vol.5

. @$-25$-/2@$-s,

$. @6,

. 5n$,

$. Al&amp;%db, , vol.2

@. Vs, , vol.2

. @$-/2@$-6, @QCV-65=-2e$, N2@$ TO5O=2@e$ /6$ 1)

. Ts=165-xo2@$, SO==6-2;5$T6C-/-52=$/6$5=6

$. 34o,

@. ,

. 92@$3s,

/. 2@$3s,

$. Cs, , pp.6-6

. C2@$-@c,

. 65vs/s^-2@$-12, , vol.56

S. ,

$. @qcvs1s5=-c2$,

. Tn=n@$&gt;$.6=5-=$34o,

, $ 25$ /6$ C2;5=6/-@65-S

. @$-o,

$. 3s,

. Ts=165-@n@e$-@21,

. @$-o, , vol.2

!. ,

, /46O5S;S1-2$ 32$, pp.65-67

, 5@$ 32$ .65VS/S^-2@$ 3N12;5-2//2@b$ I/$ ;46$ .6@$ N5N$ =25=SO<N$ 36

@. ,

. 5=2$ys@, , vol.56

. So=$t, , vol.6

, $6O5S165-@N2$32$/46O5S;S1-2$32@$, pp.65-67

$. @o, 2=<-@Ne$2

. @$o;$,

, $32$<-2$32@$.65-2

$. Cso=@$6o$m2,

. 5=2$ys@, 56/-2=$3O$8SO<=6Qe$, vol.6

. 5@$@56, , vol.6552

. 5@$,

. @cv-zs and . V=n,

, -102 du 11 février 2005 pour l'égalité des droits et des chances, la participation et la citoyenneté des personnes handicapées, 2005.

T. Shallice and P. W. Burgess, Deficits in strategy application following frontal lobe damage in man, Brain J Neurol. avr, vol.114, issue.2, pp.727-768, 1991.

B. Pachoud, Se rétablir de troubles psychiatriques : un changement de regard sur le devenir des personnes, Inf Psychiatr, vol.88, issue.4, pp.257-66, 2012.

A. Prouteau and F. Yvon, Facteurs subjectifs et remédiation cognitive dans la schizophrénie. La Remédiation cognitive, 2017.

N. Franck, Traité de réhabilitation psychosociale, 2018.

N. Franck and A. Prouteau, Modèles du handicap et stratégies d'intervention, Traité de réhabilitation psychosociale, 2018.

A. Prouteau and M. Koleck, mesurer le handicap psychique, enjeux et méthodes, Inf Psychiatr, vol.90, pp.191-196, 2014.

T. L. Patterson and B. T. Mausbach, Measurement of Functional Capacity: A New Approach to Understanding Functional Differences and Real-world Behavioral Adaptation in Those with Mental Illness, Annu Rev Clin Psychol. 27 avr, vol.6, pp.139-54, 2010.

E. Brunet, P. Roux, and N. Franck, Connaître et quantifier les déterminants du fonctionnement dans les troubles mentaux sévères et persistants. In: Traité de réhabilitation psychosociale, 2018.

P. Schaller and J. Gaspoz, Continuité, coordination, intégration des soins : entre théorie et pratique, Rev Medicale Suisse, 2008.

R. P. Liberman, A. Kopelowicz, J. Ventura, and D. Gutkind, Operational criteria and factors related to recovery from schizophrenia, Int Rev Psychiatry. 1 janv, vol.14, issue.4, pp.256-72, 2002.

N. Franck and B. Pachoud, Vie quotidienne, capacités fonctionnelles et rétabiissement, Traité de réhabilitation psychosociale, 2018.

D. Sur, Martin R. Test des commissions. In: Editest, 1954.

E. Jääskeläinen, P. Juola, N. Hirvonen, J. J. Mcgrath, S. Saha et al., A Systematic Review and Meta-Analysis of Recovery in Schizophrenia, Schizophr Bull, vol.39, issue.6, pp.1296-306, 2013.

A. Hasan, P. Falkai, T. Wobrock, J. Lieberman, B. Glenthoj et al., World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of schizophrenia, part 2: update 2012 on the long-term treatment of schizophrenia and management of antipsychotic-induced side effects, World J Biol Psychiatry Off J World Fed Soc Biol Psychiatry. févr, vol.14, issue.1, 1993.

A. Prouteau, O. Grondin, and J. Swendsen, Qualité de vie des personnes souffrant de schizophrénie : une étude en vie quotidienne, Rev Francaise Aff Soc, issue.1, pp.137-55, 2009.

M. Atkinson, S. Zibin, and H. Chuang, Characterizing quality of life among patients with chronic mental illness: a critical examination of the self-report methodology, Am J Psychiatry. janv, vol.154, issue.1, pp.99-105, 1997.

. Sainfort, Judgments of quality of life of individuals with severe mental disorders: Patient self-report versus provider perspectives, Am J Psychiatry. avr, vol.153, issue.4, pp.497-502, 1996.

J. Paris, The intelligent clinician's guide to the DSM-5®

M. Marsili, J. Roelandt, C. A. Benradia, I. Vasseur-bacle, S. Widakowich et al., Classifier sans stigmatiser : le cas de la schizophrénie, Inf Psychiatr, vol.87, issue.3, pp.191-199, 2011.

D. Sur,

D. E. Clarke and E. A. Kuhl, DSM-5 cross-cutting symptom measures: a step towards the future of psychiatric care? World Psychiatry, vol.13, pp.314-320, 2014.

J. Van-os, The transdiagnostic dimension of psychosis: implications for psychiatric nosology and research. Shanghai Arch Psychiatry, 25 avr, vol.27, issue.2, pp.82-88, 2015.

M. A. Domken, Diagnostic de schizophrénie: approche catégorielle et dimensionnelle, complémentarité? Neurone, vol.21, 2016.

E. Bleuler, Dementia Praecox oder die Gruppe der Schizophrenien, 1911.

H. Claude, Démence précoce schizomanie et schizophrénie. Encéphale. 1924;145!51

E. Minkowski, La Schizophrénie : psychopathologie des schizoïdes et des schizophrènes, Payot, 1927.

H. Ey and P. Guiraud, Remarques critiques sur la schizophrénie de Bleuler. Ann Méd-Psychol Rev Psychiatr, 1926.

H. Ey, Groupe des psychoses schizophréniques et des psychoses délirantes chroniques (les organisations vésaniques de la personnalité), Généralités. EMC Psychiatr, vol.37, 1955.

K. Schneider and . Klinische-psychopathologie, Stuttgart; 1950. 32. van Praag HM. About the impossible concept of schizophrenia, Compr Psychiatry. 1 juill, vol.17, issue.4, pp.481-97, 1976.

J. P. Feighner, E. Robins, S. B. Guze, R. A. Woodruff, G. Winokur et al., Diagnostic Criteria for Use in Psychiatric Research, Arch Gen Psychiatry. 1 janv, vol.26, issue.1, pp.57-63, 1972.

N. C. Andreasen, « The Scale for the Assessment of Negative Symptoms (SANS), 1984.

N. C. Andreasen, S. Arndt, D. Miller, M. Flaum, and P. Nopoulos, Correlational studies of the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms: an overview and update, Psychopathology, vol.28, issue.1, pp.7-17, 1995.

S. R. Kay, A. Fiszbein, and L. A. Opler, The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia, Schizophr Bull. 1 janv, vol.13, issue.2, pp.261-76, 1987.

W. T. Carpenter, D. W. Heinrichs, and A. M. Wagman, Deficit and nondeficit forms of schizophrenia: the concept, Am J Psychiatry. mai, vol.145, issue.5, pp.578-83, 1988.

S. Demazeux and . Steeves-demazeux, Qu'est-ce que le DSM ?

. Ithaque, Whooley O. Diagnostic ambivalence: psychiatric workarounds and the Diagnostic and Statistical Manual of Mental Disorders, Sociol Health Illn. mars, vol.32, issue.3, pp.452-69, 2010.

, American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5 TM, 2013.

R. Tandon, W. Gaebel, D. M. Barch, J. Bustillo, R. E. Gur et al., Definition and description of schizophrenia in the DSM-5, Schizophr Res, vol.150, issue.1, pp.3-10, 2013.

J. Testal, C. S. Calderón, and S. P. Garcelán, Del DSM-IV-TR al DSM-5: análisis de algunos cambios, Int J Clin Health Psychol, vol.14, issue.3, pp.221-252, 2014.

R. Tandon, W. Gaebel, D. M. Barch, J. Bustillo, R. E. Gur et al., Logic and justification for dimensional assessment of symptoms and related clinical phenomena in psychosis: relevance to DSM-5, Schizophr Res, vol.150, issue.1, pp.15-20, 2013.

S. Heckers, D. M. Barch, J. Bustillo, W. Gaebel, R. Gur et al., Structure of the psychotic disorders classification in DSM-5, Schizophr Res, vol.150, issue.1, pp.11-15, 2013.

D. E. Clarke and E. A. Kuhl, DSM-5 cross-cutting symptom measures: a step towards the future of psychiatric care? World Psychiatry, vol.13, 2014.

A. Disponible-sur-;-miyake, N. P. Friedman, M. J. Emerson, A. H. Witzki, A. Howerter et al., The unity and diversity of executive functions and their contributions to complex « Frontal Lobe » tasks: a latent variable analysis, Cognit Psychol. août, vol.41, issue.1, pp.49-100, 2000.

M. Krebs, Dossier INSERM sur la schizophrénie, 2014.

F. Rivollier, L. Lotersztajn, B. Chaumette, M. Krebs, and O. Kebir, Hypothèse épigénétique de la schizophrénie : revue de la littérature, L'Encéphale, vol.1, 2014.

F. Bonnet-brilhault, T. F. Petit, and M. , Données biologiques de la schizophrénie

D. Sur,

D. Gourion, R. Gourevitch, L. Provost, J. Olié, J. Lôo et al., L'Encéphale. 1 avr, vol.30, pp.109-127, 2004.

P. Ellul and G. Fond, Focus sur la schizophrénie : infections, auto-immunité et dysbiose intestinale, Inf Psychiatr, vol.93, issue.10, pp.797-802, 2016.

F. Rouillon, Épidémiologie des troubles psychiatriques, Ann Méd-Psychol Rev

G. Thornicroft, M. Tansella, T. Becker, M. Knapp, M. Leese et al., The personal impact of schizophrenia in Europe, Schizophr Res. 1 août, vol.69, issue.2!3, pp.125-157, 2004.

, American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders American Psychiatric Association. 4 e éd, 1994.

R. Tandon, H. A. Nasrallah, and M. S. Keshavan, Schizophrenia, « just the facts » 4. Clinical features and conceptualization, Schizophr Res. mai, 2009.

R. Tandon, M. S. Keshavan, H. A. Nasrallah, and . Schizophrenia, Just the Facts, What we know in 2008: Part, vol.1, pp.4-19, 2008.

M. Marshall and C. Lewis, Association between duration of untreated psychosis and outcome in cohorts of first-episode patients. a systematic review, Arch Gen Psychiatry, 2005.

D. O. Perkins, H. Gu, K. Boteva, and J. A. Lieberman, Relationship Between Duration of Untreated Psychosis and Outcome in First-Episode Schizophrenia: A Critical Review and Meta-Analysis, Am J Psychiatry, vol.162, issue.10, pp.1785-804, 2005.

R. Norman, S. W. Lewis, and M. Marshall, Duration of untreated psychosis and its relationship to clinical outcome, Br J Psychiatry Suppl. août, vol.48, pp.19-23, 2005.

S. Farooq, M. Large, O. Nielssen, and W. Waheed, The relationship between the duration of untreated psychosis and outcome in low-and-middle income countries: a systematic review and meta analysis, Schizophr Res. avr, 2009.

R. Emsley, B. Chiliza, and R. Schoeman, Predictors of long-term outcome in schizophrenia

, Curr Opin Psychiatry. mars, 2008.

A. Caspi, A. Reichenberg, M. Weiser, J. Rabinowitz, M. Shmushkevich et al., Premorbid behavioral and intellectual functioning in schizophrenia patients with poor response to treatment with antipsychotic drugs, Schizophr Res. août, vol.94, issue.1!3, pp.45-54, 2007.

T. J. Crow, Two syndromes in schizophrenia and the viral hypothesis, Prog Brain Res, vol.65, pp.17-27, 1986.

S. R. Kay, The positive and negative syndrome scale, Schizophr Bull, issue.13, pp.261-74, 1987.

B. C. Ho, P. Nopoulos, M. Flaum, S. Arndt, and N. C. Andreasen, Two-year outcome in firstepisode schizophrenia: predictive value of symptoms for quality of life, Am J Psychiatry. sept, vol.155, issue.9, pp.1196-201, 1998.

S. H. Chan and F. K. Yeung, Path models of quality of life among people with schizophrenia

H. Kong, Community Ment Health J, vol.44, issue.2, pp.97-112, 2008.

P. Milev, B. Ho, S. Arndt, and N. C. Andreasen, Predictive values of neurocognition and negative symptoms on functional outcome in schizophrenia: a longitudinal first-episode study with 7-year follow-up, Am J Psychiatry. mars, vol.162, issue.3, pp.495-506, 2005.

C. R. Bowie, C. Depp, J. A. Mcgrath, P. Wolyniec, B. T. Mausbach et al., Prediction of real-world functional disability in chronic mental disorders: a comparison of schizophrenia and bipolar disorder, Am J Psychiatry. sept, vol.167, issue.9, pp.1116-1140, 2010.

S. Galderisi, A. Rossi, P. Rocca, A. Bertolino, A. Mucci et al., The influence of illness-related variables, personal resources and context-related factors on real-life functioning of people with schizophrenia, World Psychiatry Off J World Psychiatr Assoc WPA, vol.13, issue.3, pp.275-87, 2014.

E. Velthorst, A. Fett, A. Reichenberg, G. Perlman, J. Van-os et al., The 20-Year Longitudinal Trajectories of Social Functioning in Individuals With Psychotic Disorders, Am J Psychiatry, vol.01, issue.11, pp.1075-85, 2017.

M. F. Green, R. S. Kern, and R. K. Heaton, Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS, Schizophr Res, vol.15, 2004.

, Juillerat Van der Linden AC. Schizophrénie, déficits cognitifs, et vie quotidienne, Neuropsychologie de la vie quotidienne, pp.159-70, 2008.

S. J. Schmidt, D. R. Mueller, and V. Roder, Social Cognition as a Mediator Variable Between Neurocognition and Functional Outcome in Schizophrenia: Empirical Review and New Results by Structural Equation Modeling, Schizophr Bull. 1 sept, vol.37, issue.suppl_2, pp.41-54, 2011.

J. Addington, T. A. Girard, B. K. Christensen, and D. Addington, Social cognition mediates illness-related and cognitive influences on social function in patients with schizophreniaspectrum disorders, J Psychiatry Neurosci JPN. janv, vol.35, issue.1, pp.49-54, 2010.

A. Fett, W. Viechtbauer, M. Dominguez, D. L. Penn, J. Van-os et al., The relationship between neurocognition and social cognition with functional outcomes in schizophrenia: a meta-analysis, Neurosci Biobehav Rev. janv, vol.35, issue.3, pp.573-88, 2011.

M. Hoe, E. Nakagami, M. F. Green, and J. S. Brekke, The causal relationships between neurocognition, social cognition and functional outcome over time in schizophrenia: a latent difference score approach, Psychol Med. nov, vol.42, issue.11, pp.2287-99, 2012.

D. E. Gard, M. Fisher, C. Garrett, A. Genevsky, and S. Vinogradov, Motivation and its Relationship to Neurocognition, Social Cognition, and Functional Outcome in Schizophrenia, Schizophr Res, vol.115, issue.1, pp.74-81, 2009.

E. Nakagami, B. Xie, M. Hoe, and J. S. Brekke, Intrinsic motivation, neurocognition and psychosocial functioning in schizophrenia: testing mediator and moderator effects, Schizophr Res, vol.105, issue.1!3, pp.95-104, 2008.

G. Davies, D. Fowler, and K. Greenwood, Metacognition as a Mediating Variable Between Neurocognition and Functional Outcome in First Episode Psychosis, p.2017

B. Oosterhout, F. Smit, L. Krabbendam, S. Castelein, A. Staring et al., Metacognitive training for schizophrenia spectrum patients: a meta-analysis on outcome studies, Psychol Med. janv, 2016.

M. C. Angermeyer, A. Holzinger, R. Kilian, and H. Matschinger, Quality of life--as defined by schizophrenic patients and psychiatrists, Int J Soc Psychiatry, vol.47, issue.2, pp.34-42, 2001.

J. M. Narvaez, E. W. Twamley, C. L. Mckibbin, R. K. Heaton, and T. L. Patterson, Subjective and objective quality of life in schizophrenia, Schizophr Res. janv, vol.98, issue.1!3, pp.201-209, 2008.

F. Vandendriessche, La qualité de vie dans la psychose schizophrénique, vol.11, 2006.

A. Karow, L. Wittmann, D. Schöttle, I. Schäfer, and M. Lambert, The assessment of quality of life in clinical practice in patients with schizophrenia, Dialogues Clin Neurosci. juin, vol.16, issue.2, pp.185-95, 2014.

N. C. Andreasen, The Scale for the Assessment of Negative Symptoms (SANS): Conceptual and Theoretical Foundations, Br J Psychiatry, vol.155, issue.S7, pp.49-52, 1989.

N. C. Andreasen, The Scale for the Assessment of Positive Symptoms (SAPS), Br J Psychiatry, 1984.

J. E. Overall and D. R. Gorham, The Brief Psychiatric Rating Scale (BPRS): Recent developments in ascertainment and scaling, Psychopharmacol Bull, vol.24, issue.1, pp.97-106, 1988.

D. Addington, J. Addington, and E. Maticka-tyndale, Green MF. What are the functional consequences of neurocognitive deficits in schizophrenia?, Br J Psychiatry Suppl. déc, vol.153, issue.22, pp.321-351, 1993.

G. Bryson and M. D. Bell, Initial and final work performance in schizophrenia: cognitive and symptom predictors, J Nerv Ment Dis. févr, vol.191, issue.2, pp.87-92, 2003.

P. D. Harvey, R. S. Keefe, K. H. Nuechterlein, M. F. Green, R. S. Kern et al., Studies of cognitive change in patients with schizophrenia following novel antipsychotic treatment, Am J Psychiatry. févr, vol.158, issue.2, pp.203-216, 2001.

R. S. Kern, K. H. Nuechterlein, M. F. Green, L. E. Baade, W. S. Fenton et al., The MATRICS Consensus Cognitive Battery, part 2: co-norming and standardization, Am J Psychiatry. févr, vol.165, issue.2, pp.214-234, 2008.

C. Mertens, Comment évaluer la cognition dans la pratique quotidienne ? Neurone, vol.20, 2015.

R. Keefe, T. E. Goldberg, P. D. Harvey, J. M. Gold, M. P. Poe et al., The Brief Assessment of Cognition in Schizophrenia: reliability, sensitivity, and comparison with a standard neurocognitive battery, Schizophr Res. 1 juin, vol.68, issue.2!3, pp.283-97, 2004.

D. I. Velligan, M. Dicocco, C. C. Bow-thomas, C. Cadle, D. C. Glahn et al., A brief cognitive assessment for use with schizophrenia patients in community clinics, Schizophr Res, vol.1, 2004.

R. Keefe, M. Poe, T. M. Walker, and P. D. Harvey, The relationship of the Brief Assessment of Cognition in Schizophrenia (BACS) to functional capacity and real-world functional outcome, J Clin Exp Neuropsychol. févr, vol.28, issue.2, pp.260-269, 2006.

M. D. Lezak, Neuropsychological assessment, 1995.

J. Brandt, The Hopkins Verbal learning test; development of a new verbal learning test with six equivalent forms, Clin Lab Neuropsychol, vol.5, pp.125-167, 1991.

H. Y. Meltzer and S. R. Mcgurk, The Effects of Clozapine, Risperidone, and Olanzapine on Cognitive Function in Schizophrenia, Schizophr Bull. 1 janv, vol.25, issue.2, pp.233-56, 1999.

D. I. Velligan, C. C. Bow-thomas, R. K. Mahurin, A. L. Miller, and L. C. Halgunseth, Do specific neurocognitive deficits predict specific domains of community function in schizophrenia?, J Nerv Ment Dis. août, vol.188, issue.8, pp.518-542, 2000.

D. I. Velligan, J. Newcomer, J. Pultz, J. Csernansky, A. L. Hoff et al., Does cognitive function improve with quetiapine in comparison to haloperidol?, Schizophr Res. 15 janv, vol.53, issue.3, pp.239-287, 2002.

S. E. Purdon, A. Malla, A. Labelle, and W. Lit, Neuropsychological change in patients with

R. Keefe, M. Poe, T. M. Walker, J. W. Kang, and P. D. Harvey, The Schizophrenia Cognition Rating Scale: an interview-based assessment and its relationship to cognition, real-world functioning, and functional capacity, Am J Psychiatry. mars, vol.163, issue.3, pp.426-458, 2006.

M. P. Lawton and E. M. Brody, Assessment of older people: self-maintaining and instrumental activities of daily living, The Gerontologist, vol.9, issue.3, pp.179-86, 1969.

S. Katz and A. Ford, Studies of ilness in the aged. The index of the ADL. a standardised meausre of biological and psychosocial function, JAMA, issue.185, pp.914-923, 1963.

H. H. Goldman, A. E. Skodol, and T. R. Lave, Revising axis V for DSM-IV: a review of measures of social functioning, Am J Psychiatry. sept, vol.149, issue.9, pp.1148-56, 1992.

L. H. Gold, DSM-5 and the Assessment of Functioning: The World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0), J Am Acad Psychiatry Law Online. 1 juin, vol.42, issue.2, pp.173-81, 2014.

D. Leguay, Daily life of schizophrenic patients « in remission

, L'Encephale. déc, vol.31, pp.24-28, 2005.

D. Leguay, L'échelle d'autonomie sociale. Premiers éléments de validation, L'Encephale, 1998.

C. J. Wallace, R. P. Liberman, R. Tauber, and J. Wallace, The independent living skills survey: a comprehensive measure of the community functioning of severely and persistently mentally ill individuals, 2000.

M. Cyr, J. Toupin, A. D. Lesage, and C. A. Valiquette, Assessment of independent living skills for psychotic patients. Further validity and reliability, J Nerv Ment Dis. févr, 1994.

P. L. Morosini, L. Magliano, L. Brambilla, S. Ugolini, and R. Pioli, Development, reliability and acceptability of a new version of the DSM-IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social functioning, Acta Psychiatr Scand. avr, 2000.

N. Saraswat, K. Rao, D. K. Subbakrishna, and B. N. Gangadhar, The Social Occupational Functioning Scale (SOFS): a brief measure of functional status in persons with schizophrenia, Schizophr Res, vol.31, 2006.

M. Vittorielli, R. Pioli, L. Brambilla, L. Archiati, G. Rossi et al.,

, Epidemiol Psichiatr Soc. mars, vol.12, issue.1, pp.43-52, 2003.

J. W. Affleck and R. J. Mcguire, The measurement of psychiatric rehabilitation status. A review of the needs and a new scale, Br J Psychiatry J Ment Sci, vol.145, pp.517-542, 1984.

L. Tucker, S. Wagner, I. Sher, E. Mujica, and W. Waked, Strauss and Carpenter outcome criteria--revised, Psychiatr Hosp, 1987.

P. Llorca, C. Lançon, S. Lancrenon, F. Bayle, H. Caci et al., The « Functional Remission of General Schizophrenia » (FROGS) scale: development and validation of a new questionnaire, Schizophr Res. sept, vol.113, issue.2!3, pp.218-243, 2009.

E. W. Twamley, R. R. Doshi, G. V. Nayak, B. W. Palmer, S. Golshan et al., Generalized cognitive impairments, ability to perform everyday tasks, and level of independence in community living situations of older patients with psychosis, Am J Psychiatry. déc, vol.159, issue.12, 2002.

V. Cardenas, B. T. Mausbach, C. Barrio, J. Bucardo, D. Jeste et al., The relationship between functional capacity and community responsibilities in middle-aged and older Latinos of Mexican origin with chronic psychosis, Schizophr Res. janv, 2008.

B. T. Mausbach, C. R. Bowie, P. D. Harvey, E. W. Twamley, S. R. Goldman et al., Usefulness of the UCSD Performance-based Skills Assessment (UPSA) for Predicting Residential Independence in Patients with Chronic Schizophrenia, J Psychiatr Res. mars, 2008.

D. W. Heinrichs, T. E. Hanlon, and W. T. Carpenter, 388 The Quality of Life Scale: An Instrument for Rating the Schizophrenic Deficit Syndrome, Schizophr Bull, vol.10, pp.388-98, 1984.

J. Oliver, P. Huxley, K. Bridges, and H. Mohamad, Quality of life and mental health services

K. Y. Florence, US: Taylor & Frances/Routledge; 1996. xii, 310. (Quality of life and mental health services)

A. F. Lehman, N. C. Ward, and L. S. Linn, Chronic mental patients: the quality of life issue, Am J Psychiatry, vol.139, issue.10, pp.1271-1277, 1982.

G. Wilkinson, B. Hesdon, D. Wild, R. Cookson, C. Farina et al., Self-report quality of life measure for people with schizophrenia: The SQLS, Br J Psychiatry. juill, 2000.

M. Ritsner, R. Kurs, A. Gibel, Y. Ratner, and J. Endicott, Validity of an abbreviated quality of and satisfaction questionnaire (Q-LES-Q-18) for schizophrenia, schizoaffective, and mood disorder patients, Qual Life Res Int J Qual Life Asp Treat Care Rehabil. sept, vol.14, issue.7, pp.1693-703, 2005.

J. Endicott, J. Nee, W. Harrison, and R. Blumenthal, Quality of Life Enjoyment and Satisfaction Questionnaire: a new measure, Psychopharmacol Bull, vol.29, issue.2, pp.321-327, 1993.

D. Naber, A self-rating to measure subjective effects of neuroleptic drugs, relationships to objective psychopathology, quality of life, compliance and other clinical variables, Int Clin Psychopharmacol, 1995.

L. Boyer, M. Simeoni, A. Loundou, D. &apos;amato, T. et al., The development of the S-QoL 18: A shortened quality of life questionnaire for patients with schizophrenia, Schizophr Res. août, 2010.

C. Lançon, R. G. Simeoni, M. Aghababian, V. Auquier, and P. , Développement et validation d'un instrument d'auto-évaluation de la qualité de vie des patients souffrant de schizophrénie : la S?, vol.17, 2008.

D. Sur,

H. Kalfat and L. Gonzalez, L'évaluation en ergothérapie : quelles possibilités et quelles règles ? ergothérapies, mars, issue.N°21, pp.15-24, 2006.

F. Gould, L. S. Mcguire, D. Durand, S. Sabbag, C. Larrauri et al., Self Assessment in Schizophrenia: Accuracy of Evaluation of Cognition and Everyday Functioning, Neuropsychology. sept, 2015.

S. Sabbag, E. M. Twamley, L. Vella, R. K. Heaton, T. L. Patterson et al., Assessing Everyday Functioning in Schizophrenia: Not all Informants Seem Equally Informative, Schizophr Res, 2011.

T. L. Patterson, S. Goldman, C. L. Mckibbin, T. Hughs, and D. V. Jeste, UCSD Performance-Based Skills Assessment: development of a new measure of everyday functioning for severely mentally ill adults, Schizophr Bull, vol.27, issue.2, pp.235-280, 2001.

S. J. Czaja, D. A. Loewenstein, C. C. Lee, S. H. Fu, and P. D. Harvey, Assessing functional performance using computer-based simulations of everyday activities, Schizophr Res, vol.183, pp.130-136, 2017.

B. A. Wilson, Behavioural assessment of the dysexecutive syndrome, vol.239, p.50, 1997.

L. Thiec and F. , Evaluation écologique des fonctions exécutives chez les traumatisés crâniens graves : pour une meilleure approche du handicap. Ann réadapt médecine phys

C. Villani, M. Schoenauer, Y. Bonnet, C. Berthet, A. Cornut et al., Donner un sens à l'intelligence artificielle, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01967551

J. Kasckow, K. Felmet, C. Appelt, R. Thompson, A. Rotondi et al., Telepsychiatry in the assessment and treatment of schizophrenia, Clin Schizophr Relat Psychoses. avr, vol.8, issue.1, pp.21-27, 2014.

J. Svestka and I. Bitter, Nonadherence to antipsychotic treatment in patients with schizophrenic disorders, Neuro Endocrinol Lett. févr, vol.28, 2007.

L. H. Beebe, K. Smith, C. Crye, C. Addonizio, D. J. Strunk et al., Telenursing intervention increases psychiatric medication adherence in schizophrenia outpatients, J Am Psychiatr Nurses Assoc. juin, 2008.

S. Frangou, I. Sachpazidis, A. Stassinakis, and G. Sakas, Telemonitoring of medication adherence in patients with schizophrenia, Telemed J E-Health Off J Am Telemed Assoc. déc, vol.11, issue.6, pp.675-83, 2005.

M. Salzer, T. Tunner, and N. Charney, A low-cost, telephone intervention to enhance schizophrenia treatment: a demonstration study, Schizophr Res. 1 févr, vol.66, pp.75-81, 2004.

U. Stentzel, H. Grabe, L. Strobel, P. Penndorf, J. Langosch et al., Tecla: a telephone-and text-message based telemedical concept for patients with severe mental health disorders--study protocol for a controlled, randomized, study. BMC Psychiatry, vol.15, p.273, 2015.

M. Krzystanek, D. Krzeszowski, K. Jagoda, and K. Krysta, Long term telemedicine study of compliance in paranoid schizophrenia, Psychiatr Danub. sept, vol.27, issue.1, pp.266-268, 2015.

C. A. Zarate, L. Weinstock, P. Cukor, C. Morabito, L. Leahy et al., Applicability of telemedicine for assessing patients with schizophrenia: Acceptance and reliability, J Clin Psychiatry. 1 févr, vol.58, pp.22-27, 1997.

A. Yoshino, J. Shigemura, Y. Kobayashi, S. Nomura, K. Shishikura et al., Telepsychiatry: Assessment of televideo psychiatric interview reliability with present-and -generation internet infrastructures, Acta Psychiatr Scand, vol.104, pp.223-229, 2001.

Y. M. Chae, H. J. Park, J. G. Cho, G. D. Hong, and K. A. Cheon, The reliability and acceptability of telemedicine for patients with schizophrenia in Korea, J Telemed Telecare, vol.6, issue.2, pp.83-90, 2000.

J. Shen, K. A. Kobak, Y. Zhao, M. M. Alexander, and J. M. Kane, Use of remote centralized raters via live 2-way video in a multicenter clinical trial for schizophrenia, J Clin Psychopharmacol. déc, vol.28, issue.6, pp.691-694, 2008.

J. Kasckow, S. Zickmund, J. Gurklis, J. Luther, L. Fox et al., Using telehealth to augment an intensive case monitoring program in veterans with schizophrenia and suicidal ideation: A pilot trial, Psychiatry Res. 30 mai, vol.239, pp.111-117, 2016.

F. Spaniel, P. Vohlídka, J. Hrdlicka, J. Kozený, T. Novák et al., ITAREPS: information technology aided relapse prevention programme in schizophrenia, Schizophr Res. janv, 2008.

F. Spaniel, T. Novak, B. Motlova, L. Capkova, J. Slovakova et al., Psychiatrist's adherence: a new factor in relapse prevention of schizophrenia. A randomized controlled study on relapse control through telemedicine system, J Psychiatr Ment Health Nurs. déc, vol.22, issue.10, pp.811-831, 2015.

L. R. Flaherty, K. Daniels, J. Luther, G. L. Haas, and J. Kasckow, Reduction of medical hospitalizations in veterans with schizophrenia using home telehealth, Psychiatry Res, vol.255, pp.153-158, 2017.

K. Tseng, D. Hemenway, I. Kawachi, S. V. Subramanian, and W. J. Chen, Travel Distance and the Use of Inpatient Care among Patients with Schizophrenia, Adm Policy Ment Health. sept, vol.35, issue.5, pp.346-56, 2008.

C. Zaylor, Clinical outcomes in telepsychiatry, J Telemed Telecare, vol.5, issue.1, pp.59-60, 1999.

X. Aimé, Tour d'horizon de la m-psychiatrie, Inf Psychiatr. 14 févr, 2018.

E. Granholm, D. Ben-zeev, D. Fulford, and J. Swendsen, Ecological Momentary Assessment of social functioning in schizophrenia: impact of performance appraisals and affect on social interactions, Schizophr Res. avr, 2013.

T. Tron, Y. Resheff, M. Bazhmin, A. Peled, and D. Weinshall, Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices: 7th International Conference, pp.242-251, 2017.

S. Difrancesco, P. Fraccaro, S. Veer, B. Alshoumr, J. Ainsworth et al., Out-of-home activity recognition from GPS data in schizophrenic patients, 2016.

D. Sur,

S. Batra, R. A. Baker, T. Wang, F. Forma, F. Dibiasi et al., Digital health technology for use in patients with serious mental illness: a systematic review of the literature, Med Devices Auckl NZ, vol.10, pp.237-51, 2017.

I. H. Bell, M. H. Lim, S. L. Rossell, and N. Thomas, Ecological Momentary Assessment and Intervention in the Treatment of Psychotic Disorders: A Systematic Review, Psychiatr Serv Wash DC, vol.68, issue.11, pp.1172-81, 2017.

V. P. Cornet and R. J. Holden, Systematic review of smartphone-based passive sensing for health and wellbeing, J Biomed Inform, vol.77, pp.120-152, 2018.

E. Reinertsen and G. D. Clifford, A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses, Physiol Meas. 15 mai, vol.39, issue.5, pp.5-6, 2018.

J. Seppälä, D. Vita, I. Jämsä, T. Miettunen, J. Isohanni et al., Mobile Phone and Wearable Sensor-Based mHealth Approaches for Psychiatric Disorders and Symptoms: Systematic Review. JMIR Ment Health, 2019.

, Disponible sur

J. Torous, J. Firth, N. Mueller, J. P. Onnela, and J. T. Baker, Methodology and Reporting of Mobile Heath and Smartphone Application Studies for Schizophrenia, Harv Rev Psychiatry. juin, vol.25, issue.3, pp.146-54, 2017.

D. Ben-zeev, G. J. Mchugo, H. Xie, K. Dobbins, and M. A. Young, Comparing Retrospective Reports to Real-Time/Real-Place Mobile Assessments in Individuals With Schizophrenia and a Nonclinical Comparison Group, Schizophr Bull. 1 mai, vol.38, issue.3, pp.396-404, 2012.

E. K. Moran, A. J. Culbreth, and D. M. Barch, Ecological momentary assessment of negative symptoms in schizophrenia: Relationships to effort-based decision making and reinforcement learning, J Abnorm Psychol, 2017.

S. Bucci, R. Morris, K. Berry, N. Berry, G. Haddock et al., Psychosis Service User Views on Digital Technology: Qualitative Analysis. JMIR Ment Health, vol.5, issue.4, 2018.

K. Gay, J. Torous, A. Joseph, A. Pandya, and K. Duckworth, Digital Technology Use Among Individuals with Schizophrenia: Results of an Online Survey, JMIR Ment Health, vol.3, issue.2, p.15, 2016.

J. Torous, H. Wisniewski, G. Liu, and M. Keshavan, Mental Health Mobile Phone App Usage, Concerns, and Benefits Among Psychiatric Outpatients: Comparative Survey Study, JMIR Ment Health, vol.5, issue.4, p.11715, 2018.

G. K. Jonathan, L. Pivaral, and D. Ben-zeev, Augmenting mHealth with human support: Notes from community care of people with serious mental illnesses, Psychiatr Rehabil J, 2017.

J. Firth, J. Cotter, J. Torous, S. Bucci, J. A. Firth et al., Mobile Phone Ownership and Endorsement of "mHealth" Among People With Psychosis: A Meta-analysis of Crosssectional Studies, Schizophr Bull. 1 mars, vol.42, issue.2, pp.448-55, 2016.

J. E. Palmier-claus, A. Rogers, J. Ainsworth, M. Machin, C. Barrowclough et al., Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study, BMC Psychiatry. 23 janv, vol.13, p.34, 2013.

D. Kumar, L. M. Tully, A. Iosif, L. N. Zakskorn, K. E. Nye et al., A Mobile Health Platform for Clinical Monitoring in Early Psychosis: Implementation in Community-Based Outpatient Early Psychosis Care, JMIR Ment Health. 27 févr, vol.5, issue.1, p.15, 2018.

D. Ben-zeev, R. Wang, S. Abdullah, R. Brian, E. A. Scherer et al., Mobile Behavioral Sensing for Outpatients and Inpatients With Schizophrenia, Psychiatr Serv Wash DC, vol.01, issue.5, pp.558-61, 2016.

R. Wang, M. Aung, S. Abdullah, R. Brian, A. T. Campbell et al., Toward passive sensing and detection of mental health changes in people with schizophrenia, UbiComp 2016 -Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.886-97, 2016.

P. Staples, J. Torous, I. Barnett, K. Carlson, L. Sandoval et al., A comparison of passive and active estimates of sleep in a cohort with schizophrenia, NPJ Schizophr, vol.3, issue.1, p.37, 2017.

B. A. Gaudiano, E. Moitra, S. Ellenberg, and M. F. Armey, The Promises and Challenges of Ecological Momentary Assessment in Schizophrenia: Development of an Initial Experimental Protocol. Healthc Basel Switz, 2015.

J. E. Palmier-claus, J. Ainsworth, M. Machin, C. Barrowclough, G. Dunn et al., The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application, BMC Psychiatry, vol.12, p.172, 2012.

J. E. Palmier-claus, P. J. Taylor, J. Ainsworth, M. Machin, G. Dunn et al., The temporal association between self-injurious thoughts and psychotic symptoms: a mobile phone assessment study, Suicide Life Threat Behav. févr, vol.44, issue.1, pp.101-111, 2014.

M. Cella, ?. Okruszek, M. Lawrence, V. Zarlenga, Z. He et al., Using wearable technology to detect the autonomic signature of illness severity in schizophrenia, Schizophr Res, vol.195, pp.537-579, 2018.

S. Walther, P. Koschorke, H. Horn, and W. Strik, Objectively measured motor activity in schizophrenia challenges the validity of expert ratings, Psychiatry Res, 2009.

S. Shin, C. Yeom, C. Shin, J. Shin, J. H. Jeong et al., Activity monitoring using a mHealth device and correlations with psychopathology in patients with chronic schizophrenia, Psychiatry Res. 30 déc, vol.246, pp.712-720, 2016.

A. Wichniak, A. Skowerska, J. Chojnacka-wójtowicz, T. Tafli?ski, A. Wierzbicka et al., Actigraphic monitoring of activity and rest in schizophrenic patients treated with olanzapine or risperidone, J Psychiatr Res, vol.45, issue.10, pp.1381-1387, 2011.

R. C. Moore, P. L. Fazeli, T. L. Patterson, C. A. Depp, D. J. Moore et al., UPSA-M: Feasibility and initial validity of a mobile application of the UCSD Performance-Based Skills Assessment, Schizophr Res. mai, 2015.

D. Ben-zeev, R. Frounfelker, S. B. Morris, and P. W. Corrigan, Predictors of Self-Stigma in Schizophrenia: New Insights Using Mobile Technologies, J Dual Diagn, 2012.

J. M. Kane, R. H. Perlis, L. A. Dicarlo, K. Au-yeung, J. Duong et al., First experience with a wireless system incorporating physiologic assessments and direct confirmation of digital tablet ingestions in ambulatory patients with schizophrenia or bipolar disorder, J Clin Psychiatry. juin, vol.74, issue.6, pp.533-540, 2013.

D. L. Kelly, H. Ben-yoav, G. F. Payne, T. E. Winkler, S. E. Chocron et al., Blood Draw Barriers for Treatment with Clozapine and Development of a Point-of-Care Monitoring Device, Clin Schizophr Relat Psychoses, vol.12, issue.1, pp.23-30, 2018.

E. Kim, Y. Liu, H. Ben-yoav, T. E. Winkler, K. Yan et al., Fusing Sensor Paradigms to Acquire Chemical Information: An Integrative Role for Smart Biopolymeric

. Hydrogels, Adv Healthc Mater, vol.5, issue.20, pp.2595-616, 2016.

T. Peters-strickland, L. Pestreich, A. Hatch, S. Rohatagi, R. A. Baker et al., Usability of a novel digital medicine system in adults with schizophrenia treated with sensorembedded tablets of aripiprazole, Neuropsychiatr Dis Treat, vol.12, pp.2587-94, 2016.

D. Velligan, J. Mintz, N. Maples, L. Xueying, S. Gajewski et al., A randomized trial comparing in person and electronic interventions for improving adherence to oral medications in schizophrenia, Schizophr Bull. sept, vol.39, issue.5, pp.999-1007, 2013.

T. E. Winkler, H. Ben-yoav, S. E. Chocron, E. Kim, D. L. Kelly et al., Electrochemical study of the catechol-modified chitosan system for clozapine treatment monitoring, Langmuir ACS J Surf Colloids. 9 déc, vol.30, issue.48, pp.14686-93, 2014.

T. E. Winkler, F. O. Stevenson, E. Kim, M. Kang, G. F. Payne et al., The Role of Microsystems Integration Towards Point-of-Care Clozapine Treatment Monitoring in Schizophrenia, IEEE Sens Lett. mars, vol.2, issue.1, 2018.

S. Guimond, M. S. Keshavan, and J. B. Torous, Towards remote digital phenotyping of cognition in schizophrenia, Schizophr Res. 29 avr, 2019.

G. Liu, P. Henson, M. Keshavan, J. Pekka-onnela, and J. Torous, Assessing the potential of longitudinal smartphone based cognitive assessment in schizophrenia: A naturalistic pilot study, Schizophr Res Cogn. sept, vol.17, p.100144, 2019.

A. Chinner, J. Blane, C. Lancaster, C. Hinds, and I. Koychev, Digital technologies for the assessment of cognition: a clinical review, Evid Based Ment Health. 1 mai, vol.21, issue.2, pp.67-71, 2018.

I. Barnett, J. Torous, P. Staples, L. Sandoval, M. Keshavan et al., Relapse prediction in schizophrenia through digital phenotyping: a pilot study, Neuropsychopharmacol Off Publ Am Coll Neuropsychopharmacol, vol.43, issue.8, pp.1660-1666, 2018.

D. Ben-zeev, B. R. Wang, R. Wang, W. Campbell, A. T. Aung et al., Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse, Psychiatr Rehabil J, vol.40, issue.3, pp.266-75, 2017.

B. Buck, E. Scherer, R. Brian, R. Wang, W. Wang et al., Relationships between smartphone social behavior and relapse in schizophrenia: A preliminary report, Schizophr Res. 30 mars, 2019.

E. Eisner, S. Bucci, N. Berry, R. Emsley, C. Barrowclough et al., Feasibility of using a smartphone app to assess early signs, basic symptoms and psychotic symptoms over six months: A preliminary report, Schizophr Res. 9 avr, 2019.

E. Eisner, R. J. Drake, N. Berry, C. Barrowclough, R. Emsley et al., Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse, JMIR MHealth UHealth. 29 mars, vol.7, issue.3, p.11568, 2019.

J. Sablier, E. Stip, P. Jacquet, S. Giroux, H. Pigot et al., Ecological assessments of activities of daily living and personal experiences with Mobus, an assistive technology for cognition: a pilot study in schizophrenia, Assist Technol Off J RESNA, vol.24, issue.2, pp.67-77, 2012.

F. ?paniel, J. Hrdli?ka, T. Novák, J. Ko?ený, C. Höschl et al., Effectiveness of the information technology-aided program of relapse prevention in schizophrenia (ITAREPS): a randomized, controlled, double-blind study, J Psychiatr Pract. juill, vol.18, issue.4, pp.269-80, 2012.

F. Spaniel, P. Vohlídka, J. Hrdlicka, J. Kozený, T. Novák et al., ITAREPS: information technology aided relapse prevention programme in schizophrenia, Schizophr Res. janv, 2008.

H. Komatsu, Y. Sekine, N. Okamura, N. Kanahara, K. Okita et al., Effectiveness of Information Technology Aided Relapse Prevention Programme in Schizophrenia excluding the effect of user adherence: a randomized controlled trial, Schizophr Res, vol.150, issue.1, pp.240-244, 2013.

E. Granholm, D. Ben-zeev, P. C. Link, K. R. Bradshaw, and J. L. Holden, Mobile Assessment and Treatment for Schizophrenia (MATS): a pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations, Schizophr Bull. mai, vol.38, issue.3, pp.414-439, 2012.

D. Ben-zeev, C. J. Brenner, M. Begale, J. Duffecy, D. C. Mohr et al., Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia, vol.40, pp.1244-53, 2014.

D. Ben-zeev, S. M. Kaiser, C. J. Brenner, M. Begale, J. Duffecy et al., Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia, Psychiatr Rehabil J. déc, 2013.

J. Onnela and S. L. Rauch, Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health, Neuropsychopharmacology. juin, vol.41, issue.7, pp.1691-1697, 2016.

J. Torous and M. Keshavan, A new window into psychosis: The rise digital phenotyping, smartphone assessment, and mobile monitoring, Schizophr Res. 12 janv, 2018.

E. R. Hauge, J. Ø. Berle, K. J. Oedegaard, F. Holsten, and O. B. Fasmer, Nonlinear analysis of schizophrenia and depression: a study using Fourier analysis and sample entropy, PloS One. 28 janv, vol.6, issue.1, p.16291, 2011.

S. Walther, H. Horn, N. Razavi, P. Koschorke, T. J. Müller et al., Quantitative motor activity differentiates schizophrenia subtypes, Neuropsychobiology, vol.60, issue.2, pp.80-86, 2009.

W. Sano, T. Nakamura, K. Yoshiuchi, T. Kitajima, A. Tsuchiya et al., Enhanced persistency of resting and active periods of locomotor activity in schizophrenia, PloS One, vol.7, issue.8, p.43539, 2012.

J. O. Berle, E. R. Hauge, K. J. Oedegaard, F. Holsten, and O. B. Fasmer, Actigraphic registration of motor activity reveals a more structured behavioural pattern in schizophrenia than in major depression, BMC Res Notes. 27 mai, vol.3, p.149, 2010.

M. Osipov, Y. Behzadi, J. M. Kane, G. Petrides, and G. D. Clifford, Objective identification and analysis of physiological and behavioral signs of schizophrenia, J Ment Health Abingdon Engl. 3 sept, vol.24, issue.5, pp.276-82, 2015.

E. Reinertsen, M. Osipov, C. Liu, J. M. Kane, G. Petrides et al., Continuous assessment of schizophrenia using heart rate and accelerometer data, Physiol Meas. 27 juin, vol.38, issue.7, pp.1456-71, 2017.

R. Apiquian, A. Fresán, J. Muñoz-delgado, M. Kiang, R. E. Ulloa et al., Variations of rest -activity rhythm and sleep -wake in schizophrenic patients versus healthy subjects: An actigraphic comparative study, Biol Rhythm Res. 1 févr, vol.39, issue.1, pp.69-78, 2008.

N. Meyer, M. Kerz, A. Folarin, D. W. Joyce, R. Jackson et al., Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform. JMIR MHealth UHealth, vol.6, p.188, 2018.

O. B. Fasmer, E. Hauge, J. Ø. Berle, S. Dilsaver, and K. J. Oedegaard, Distribution of Active and Resting Periods in the Motor Activity of Patients with Depression and Schizophrenia, Psychiatry Investig. janv, vol.13, issue.1, pp.112-132, 2016.

J. L. Martin, D. V. Jeste, A. , and S. , Older schizophrenia patients have more disrupted sleep and circadian rhythms than age-matched comparison subjects, J Psychiatr Res. mai, vol.39, issue.3, pp.251-260, 2005.

N. Van-der-wee, A. C. Bilderbeck, M. Cabello, J. L. Ayuso-mateos, I. Saris et al., Working definitions, subjective and objective assessments and experimental paradigms in a study exploring social withdrawal in schizophrenia and Alzheimer's disease, Neurosci Biobehav Rev. févr, vol.97, pp.38-46, 2019.

C. A. Tamminga, G. Pearlson, M. Keshavan, J. Sweeney, B. Clementz et al., Bipolar and Schizophrenia Network for Intermediate Phenotypes: Outcomes Across the Psychosis Continuum, Schizophr Bull. 1 mars, vol.40, issue.Suppl_2, pp.131-138, 2014.

A. Kluge, M. Kirschner, O. M. Hager, M. Bischof, B. Habermeyer et al., Combining actigraphy, ecological momentary assessment and neuroimaging to study apathy in patients with schizophrenia, Schizophr Res. 1 mai, vol.195, pp.176-82, 2018.

M. Levaux, S. Potvin, A. A. Sepehry, J. Sablier, A. Mendrek et al., Computerized assessment of cognition in schizophrenia: promises and pitfalls of CANTAB, Eur Psychiatry J Assoc Eur Psychiatr. mars, vol.22, issue.2, pp.104-119, 2007.

P. J. Smith, A. C. Need, E. T. Cirulli, O. Chiba-falek, and D. K. Attix, A comparison of the Cambridge Automated Neuropsychological Test Battery (CANTAB) with "traditional" neuropsychological testing instruments, J Clin Exp Neuropsychol. 1 mars, vol.35, issue.3, pp.319-347, 2013.

J. M. Sheffield, J. M. Gold, M. E. Strauss, C. S. Carter, A. W. Macdonald et al., Common and specific cognitive deficits in schizophrenia: relationships to function, Cogn Affect Behav Neurosci. mars, 2014.

A. S. Atkins, T. Tseng, A. Vaughan, E. W. Twamley, P. Harvey et al., Validation of the tablet-administered Brief Assessment of Cognition (BAC App), Schizophr Res. 1 mars, vol.181, pp.100-106, 2017.

B. Biagianti, D. Hidalgo-mazzei, and N. Meyer, Developing digital interventions for people living with serious mental illness: perspectives from three mHealth studies. Evid Based Ment Health, vol.20, pp.98-101, 2017.

R. C. Moore, A. L. Harmell, J. Ho, T. L. Patterson, L. T. Eyler et al., Initial validation of a computerized version of the UCSD Performance-Based Skills Assessment (C-UPSA) for assessing functioning in schizophrenia, Schizophr Res. mars, vol.144, issue.1!3, pp.87-92, 2013.

S. J. Czaja, D. A. Loewenstein, C. C. Lee, S. H. Fu, and P. D. Harvey, Assessing functional performance using computer-based simulations of everyday activities, Schizophr Res, vol.183, pp.130-136, 2017.

W. Veling, S. Moritz, and M. Van-der-gaag, Brave new worlds--review and update on virtual reality assessment and treatment in psychosis, Schizophr Bull, vol.40, issue.6, pp.1194-1201, 2014.

D. Opri?, S. Pintea, A. García-palacios, C. Botella, ?. Szamosközi et al., Virtual reality exposure therapy in anxiety disorders: a quantitative meta-analysis, Depress Anxiety. févr, vol.29, issue.2, pp.85-93, 2012.

D. Freeman, Studying and Treating Schizophrenia Using Virtual Reality: A New Paradigm, Schizophr Bull. juill, vol.34, issue.4, pp.605-615, 2008.

M. Rus-calafell, P. Garety, E. Sason, T. Craig, and L. R. Valmaggia, Virtual reality in the assessment and treatment of psychosis: a systematic review of its utility, acceptability and effectiveness, Psychol Med, vol.48, issue.3, pp.362-91, 2018.

R. Costa, . Da, L. Carvalho, and . De, The acceptance of virtual reality devices for cognitive rehabilitation: a report of positive results with schizophrenia, Comput Methods Programs Biomed, vol.73, pp.173-82, 2004.

J. Ku, W. Cho, J. Kim, A. Peled, B. K. Wiederhold et al., A virtual environment for investigating schizophrenic patients' characteristics: assessment of cognitive and navigation ability, Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. août, vol.6, issue.4, pp.397-404, 2003.

A. Sorkin, D. Weinshall, I. Modai, and A. Peled, Improving the accuracy of the diagnosis of schizophrenia by means of virtual reality, Am J Psychiatry. mars, vol.163, issue.3, pp.512-532, 2006.

E. A. Spieker, R. S. Astur, J. T. West, J. A. Griego, and L. M. Rowland, Spatial memory deficits in a virtual reality eight-arm radial maze in schizophrenia, Schizophr Res. mars, 2012.

G. Weniger and E. Irle, Allocentric memory impaired and egocentric memory intact as assessed by virtual reality in recent-onset schizophrenia, Schizophr Res. avr, 2008.

L. K. Wilkins, T. A. Girard, K. Konishi, M. King, K. A. Herdman et al., Selective deficit in spatial memory strategies contrast to intact response strategies in patients with schizophrenia spectrum disorders tested in a virtual navigation task, Hippocampus, vol.23, issue.11, pp.1015-1039, 2013.

I. Fajnerová, M. Rodriguez, D. Lev?ík, L. Konrádová, P. Mikolá? et al., A virtual reality task based on animal research -spatial learning and memory in patients after the first episode of schizophrenia, Front Behav Neurosci, vol.8, p.157, 2014.

N. Josman, A. E. Schenirderman, E. Klinger, and E. Shevil, Using virtual reality to evaluate executive functioning among persons with schizophrenia: a validity study, Schizophr Res. déc, 2009.

J. Zawadzki, Simulating real world functioning in schizophrenia using a naturalistic city environment and single-trial, goal-directed navigation, Front Behav Neurosci, issue.7, p.180, 2013.

K. Han, Y. Kim, I. Kim, and J. , Assessment of cognitive flexibility in real life using virtual reality: a comparison of healthy individuals and schizophrenia patients, Comput Biol Med. août, vol.42, issue.8, pp.841-848, 2012.

M. Synofzik, P. Thier, D. T. Leube, P. Schlotterbeck, and A. Lindner, Misattributions of agency in schizophrenia are based on imprecise predictions about the sensory consequences of one's actions, Brain J Neurol. janv, vol.133, pp.262-71, 2010.

S. Landgraf, M. Krebs, J. Olié, G. Committeri, E. Van-der-meer et al., Real world referencing and schizophrenia: are we experiencing the same reality?, Neuropsychologia. août, vol.48, issue.10, pp.2922-2952, 2010.

A. Sorkin, D. Weinshall, and A. Peled, The distortion of reality perception in schizophrenia patients, as measured in Virtual Reality, Stud Health Technol Inform, vol.132, pp.475-80, 2008.

M. F. Green, R. S. Kern, D. L. Braff, and J. Mintz, Neurocognitive deficits and functional outcome in schizophrenia: are we measuring the « right stuff, Schizophr Bull, vol.26, issue.1, pp.119-155, 2000.

M. M. Kurtz, E. Baker, G. D. Pearlson, and R. S. Astur, A virtual reality apartment as a measure of medication management skills in patients with schizophrenia: a pilot study, Schizophr Bull. sept, vol.33, issue.5, pp.1162-70, 2007.

G. Aubin, M. Béliveau, and E. Klinger, An exploration of the ecological validity of the Virtual Action Planning-Supermarket (VAP-S) with people with schizophrenia, Neuropsychol Rehabil. juill, vol.28, issue.5, pp.689-708, 2018.

S. A. Ruse, P. D. Harvey, V. G. Davis, A. S. Atkins, K. H. Fox et al., Virtual Reality Functional Capacity Assessment In Schizophrenia: Preliminary Data Regarding Feasibility and Correlations with Cognitive and Functional Capacity Performance, Schizophr Res Cogn. mars, vol.1, issue.1, pp.21-27, 2014.

K. E. Greenwood, R. Morris, V. Smith, A. Jones, D. Pearman et al., Virtual shopping: A viable alternative to direct assessment of real life function?, Schizophr Res. avr, vol.172, issue.1!3, pp.206-216, 2016.

P. D. Harvey, A. Khan, A. Atkins, and R. S. Keefe, Virtual reality assessment of functional capacity in people with Schizophrenia: Associations with reduced emotional experience and prediction of functional outcomes, Psychiatry Res. 15 janv, 2019.

K. H. Nuechterlein, M. F. Green, R. S. Kern, L. E. Baade, D. M. Barch et al., The MATRICS Consensus Cognitive Battery, part 1: test selection, reliability, and validity, Am J Psychiatry. févr, vol.165, issue.2, pp.203-216, 2008.

I. Siddiqui, S. Saperia, G. Fervaha, D. Silva, S. Jeffay et al., Goaldirected planning and action impairments in schizophrenia evaluated in a virtual environment, Schizophr Res, 2018.

R. Keefe, V. G. Davis, A. S. Atkins, A. Vaughan, T. Patterson et al., Validation of a Computerized test of Functional Capacity, Schizophr Res

J. Ku, H. J. Jang, K. U. Kim, S. H. Park, J. J. Kim et al., Pilot study for assessing the behaviors of patients with schizophrenia towards a virtual avatar, Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. oct, vol.9, issue.5, pp.531-540, 2006.

K. Kim, J. Kim, J. Kim, D. Park, H. J. Jang et al., Characteristics of social perception assessed in schizophrenia using virtual reality, Cyberpsychology Behav Impact Internet Multimed Virtual Real Behav Soc. avr, vol.10, issue.2, pp.215-224, 2007.

M. Dyck, M. Winbeck, S. Leiberg, Y. Chen, and K. Mathiak, Virtual faces as a tool to study emotion recognition deficits in schizophrenia, Psychiatry Res, vol.179, issue.3, pp.247-52, 2010.

J. Gutiérrez-maldonado, M. Rus-calafell, S. Márquez-rejón, and J. Ribas-sabaté, Associations between facial emotion recognition, cognition and alexithymia in patients with schizophrenia: comparison of photographic and virtual reality presentations, Stud Health Technol Inform, vol.181, pp.88-92, 2012.

S. Park, J. Ku, J. Kim, H. J. Jang, S. Y. Kim et al., Increased personal space of patients with schizophrenia in a virtual social environment, Psychiatry Res, 2009.

S. Choi, J. Ku, K. Han, E. Kim, S. I. Kim et al., Deficits in Eye Gaze During Negative Social Interactions in Patients With Schizophrenia, J Nerv Ment Dis, vol.198, issue.11, p.829, 2010.

D. J. Cook, Learning Setting-Generalized Activity Models for Smart Spaces, IEEE Intell Syst. 9 sept, vol.2010, p.1, 2010.

E. Kim, S. Helal, and D. Cook, Human Activity Recognition and Pattern Discovery, IEEE Pervasive Comput, vol.9, issue.1, p.48, 2010.

P. Augustyniak and G. ?lusarczyk, Graph-based representation of behavior in detection and prediction of daily living activities, Comput Biol Med, vol.01, pp.261-70, 2018.

P. Chahuara, A. Fleury, M. Vacher, and F. Portet, Méthodes SVM et MLN pour la reconnaissance automatique d'activités humaines dans les habitats perceptifs: tests et perspectives, RFIA 2012

F. Lyon, , 2012.

J. Lapalu, K. Bouchard, A. Bouzouane, B. Bouchard, and S. Giroux, Unsupervised Mining of Activities for Smart Home Prediction, Procedia Comput Sci. 1 janv, vol.19, pp.503-513, 2013.

J. Alon, V. Athitsos, Q. Yuan, and S. Sclaroff, A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation, IEEE Trans Pattern Anal Mach Intell. sept, vol.31, issue.9, pp.1685-99, 2009.

A. Fleury, M. Vacher, and N. Noury, SVM-based multimodal classification of activities of daily living in Health Smart Homes: sensors, algorithms, and first experimental results, IEEE Trans Inf Technol Biomed Publ IEEE Eng Med Biol Soc. mars, vol.14, issue.2, pp.274-83, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00465076

A. König, C. F. Crispim-junior, A. Covella, F. Bremond, A. Derreumaux et al., Ecological Assessment of Autonomy in Instrumental Activities of Daily Living in Dementia Patients by the Means of an Automatic Video Monitoring System. Front Aging Neurosci, vol.7, 2015.

U. Maurer, A. Smailagic, D. P. Siewiorek, and M. Deisher, Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions, Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks

D. C. Washington and . Usa, , pp.113-116, 2006.

C. F. Martindale, F. Hoenig, C. Strohrmann, and B. M. Eskofier, Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models, Sensors, vol.17, issue.10, 2017.

S. Bang, M. Kim, S. Song, and S. Park, Toward real time detection of the basic living activity in home using a wearable sensor and smart home sensors, Conf Proc Annu Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc Annu Conf, pp.5200-5203, 2008.

J. R. Kwapisz, G. M. Weiss, and S. A. Moore, Activity recognition using cell phone accelerometers, ACM SIGKDD Explor Newsl. 31 mars, vol.12, issue.2, p.74, 2011.

G. Sacco, V. Joumier, N. Darmon, A. Dechamps, A. Derreumaux et al., Detection of activities of daily living impairment in Alzheimer's disease and mild cognitive impairment using information and communication technology, Clin Interv Aging, vol.7, pp.539-588, 2012.

. Med, , vol.21, pp.323-366, 2013.

M. Philipose, K. P. Fishkin, M. Perkowitz, D. J. Patterson, D. Fox et al., Inferring Activities from Interactions with Objects, IEEE Pervasive Comput, vol.3, issue.4, pp.50-57, 2004.

T. Gu, S. Chen, X. Tao, and J. Lu, An unsupervised approach to activity recognition and segmentation based on object-use fingerprints, Data Knowl Eng. juin, vol.69, issue.6, pp.533-577, 2010.

L. Niu, S. Saiki, and M. Nakamura, Integrating environmental sensing and BLE-based location for improving daily activity recognition in OPH, Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services -iiWAS '17

A. Salzburg, , pp.330-337, 2017.

R. A. Stucki, P. Urwyler, L. Rampa, R. Müri, U. P. Mosimann et al., A Web-Based Non-Intrusive Ambient System to Measure and Classify Activities of Daily Living, Disponible sur, vol.21, 2018.

E. Stip and V. Rialle, Environmental cognitive remediation in schizophrenia: ethical implications of « smart home » technology, Can J Psychiatry Rev Can Psychiatr. avr, vol.50, issue.5, pp.281-91, 2005.
URL : https://hal.archives-ouvertes.fr/hal-00201149

L. R. Flaherty, K. Daniels, J. Luther, G. L. Haas, and J. Kasckow, Reduction of medical hospitalizations in veterans with schizophrenia using home telehealth, Psychiatry Res, vol.255, pp.153-158, 2017.

A. Ra and B. J. Galen, Virtual Reality and Cognitive Assessment and Rehabilitation: The State of the Art, Stud Health Technol Inform, pp.123-145, 1997.

T. D. Parsons, A. Carlew, J. Magtoto, and K. Stonecipher, The potential of function-led virtual environments for ecologically valid measures of executive function in experimental and clinical neuropsychology, Neuropsychol Rehabil, vol.27, issue.5, pp.777-807, 2017.

T. R. Insel, The NIMH Research Domain Criteria (RDoC) Project: Precision Medicine for Psychiatry, Am J Psychiatry. 1 avr, vol.171, issue.4, pp.395-402, 2014.

E. Reinertsen and G. D. Clifford, A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses, Physiol Meas, vol.15, issue.5, pp.5-6, 2018.

J. D. Elhai and B. C. Frueh, Security of electronic mental health communication and recordkeeping in the digital age, J Clin Psychiatry. févr, vol.77, issue.2, pp.262-270, 2016.

E. Horvitz and D. Mulligan, Data, privacy, and the greater good, Science, vol.17

K. S. Young, Internet addiction: The emergence of a new clinical disorder, Cyberpsychol Behav, vol.1, issue.3, pp.237-281, 1998.

S. Kim and S. Koo, Effect of duration of smartphone use on muscle fatigue and pain caused by forward head posture in adults, J Phys Ther Sci. juin, vol.28, issue.6, pp.1669-72, 2016.

K. Demirci, M. Akgönül, and A. Akpinar, Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students, J Behav Addict. juin, 2015.

J. A. Adams, T. S. Galloway, D. Mondal, S. C. Esteves, and F. Mathews, Effect of mobile telephones on sperm quality: a systematic review and meta-analysis, Environ Int. sept, vol.70, pp.106-118, 2014.

K. Kim, E. Kabir, and S. A. Jahan, The use of cell phone and insight into its potential human health impacts, Environ Monit Assess. avr, vol.188, issue.4, p.221, 2016.

Y. Lee, C. Chang, Y. Lin, and Z. Cheng, The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress, Comput Hum Behav, vol.31, pp.373-83, 2014.

S. G. Klauer, F. Guo, B. G. Simons-morton, M. C. Ouimet, S. E. Lee et al., Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers, N Engl J Med. 2 janv, vol.370, issue.1, pp.54-63, 2014.

M. Kwon, J. Lee, W. Won, J. Park, M. Hahn et al., Development and Validation of a Smartphone Addiction Scale (SAS), PLOS ONE. 27 févr, vol.8, issue.2, p.56936, 2013.

O. Lopez-fernandez, Short version of the Smartphone Addiction Scale adapted to Spanish and French: Towards a cross-cultural research in problematic mobile phone use, Addict Behav, vol.64, pp.275-80, 2017.

J. C. Rogers and M. B. Holm, Functional assessment in mental health: lessons from occupational therapy, Dialogues Clin Neurosci. juin, vol.18, issue.2, pp.145-54, 2016.

P. Trudelle and M. Fumey, Référentiel de bonnes pratiques sur les applications et les objets connectés en Santé (Mobile Health ou mHealth), p.16

M. Madary and T. K. Metzinger, Real Virtuality: A Code of Ethical Conduct. Recommendations for Good Scientific Practice and the Consumers of VR-Technology. Front Robot AI, vol.3, 2016.

, JKR

$. 32@$, , pp.65-67

, 5@$ 6Q6;5$ O

, $ V6;3-C6.$ .@QCV-XO2e$ 36

. @$-/, 2O=$ 2;<-=S

$. 32@$^=6,

. @$-@q1, 5012@$ 25$ /2@$ 5=SO

. @cv-zs and . V=n, 5@$ 32

S. ,

, O1N=-XO2@$2@5$612

. N$&gt;$5=6,

$. 52cv,

S. ,

$. , 2C5-<2e$ NCS/S^-XO2$25$-;@56;56

. N2$32@$, , pp.65-67

. M2552$-5vw@2$-2@5$-o,

, $ /6;^O2$ 6

. S=5$-32@$,

. So&lt;2//2@$-52cv,

S. ,

@. ,

, $ 32$ /46O5S;S1-2$ 32@$@O, pp.25-6552

. So&lt;2//2@$-52cv,

, @C=-<2;5$ 36

. @$-o,

, $ 32$ /46O5S;S1-2$ 32@$, pp.65-67

, 5@$32$V6;3-C6.$.@QCV-XO2e$25$36

$. ,

$. 32@$, , pp.65-67

. 5@$36,

$. /. O@$s,

. 52=,

@. $. , 6=$ /6$ 16CV-;2e$ 16-@$ 34S=^6;-@2=$ 32@$

. 52=6c5-s,

. 5=2$-/42h, 2=5-@2$ 1N3-C6/2$ 25$ /2@$ 6

. S=5@$-32@$-52cv,

S. Db,

S. ,

, NC2@@-52$O

$. C63=2$3ns,

. 5s/s^-xo2$ and . So=$@46@@o=2=,

$. Cs,

. @$-32@, , vol.16

$. , SO==6-2;5$ T6C-/-52=$ /6$ 5=6

, $ 34O;2$ 6

, =SCV2$ C65N^S=-2//2$ <2=@$ O;2$ 6

@. ,

. 6mjen7:ij$r$-6o5s, S1-2)@CV-ZS.V=N;-2)N<6/O65-S;)I;52//-^2

. C2$-!=5-, , p.52

S. ,

, O1N=-XO2@)=2<O2$ 32$ /6$ /-55N=65O=2)5N/N.@QCV-65=-2)1$ @6;5N)=N6/-5N$ <-=5O2//2)?16=5$ YS12@)

. C63=2$3ns,

, 5S/S^-XO2)6

@. ,