Predicting individual improvement in schizophrenia symptom severity at 1-year follow-up: Comparison of connectomic, structural, and clinical predictors.
Adult
Antipsychotic Agents
/ administration & dosage
Cerebral Cortex
/ diagnostic imaging
Connectome
/ methods
Default Mode Network
/ diagnostic imaging
Female
Follow-Up Studies
Gray Matter
/ diagnostic imaging
Humans
Machine Learning
Magnetic Resonance Imaging
/ methods
Male
Neuroimaging
/ methods
Prognosis
Schizophrenia
/ diagnostic imaging
Sensitivity and Specificity
Severity of Illness Index
Young Adult
default mode network
dynamic functional connectivity
outcome prediction
schizophrenia
symptoms
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
15 08 2020
15 08 2020
Historique:
received:
06
07
2019
revised:
13
01
2020
accepted:
13
04
2020
pubmed:
30
5
2020
medline:
15
12
2021
entrez:
30
5
2020
Statut:
ppublish
Résumé
In a machine learning setting, this study aims to compare the prognostic utility of connectomic, brain structural, and clinical/demographic predictors of individual change in symptom severity in individuals with schizophrenia. Symptom severity at baseline and 1-year follow-up was assessed in 30 individuals with a schizophrenia-spectrum disorder using the Brief Psychiatric Rating Scale. Structural and functional neuroimaging was acquired in all individuals at baseline. Machine learning classifiers were trained to predict whether individuals improved or worsened with respect to positive, negative, and overall symptom severity. Classifiers were trained using various combinations of predictors, including regional cortical thickness and gray matter volume, static and dynamic resting-state connectivity, and/or baseline clinical and demographic variables. Relative change in overall symptom severity between baseline and 1-year follow-up varied markedly among individuals (interquartile range: 55%). Dynamic resting-state connectivity measured within the default-mode network was the most accurate single predictor of change in positive (accuracy: 87%), negative (83%), and overall symptom severity (77%) at follow-up. Incorporating predictors based on regional cortical thickness, gray matter volume, and baseline clinical variables did not markedly improve prediction accuracy and the prognostic utility of these predictors in isolation was moderate (<70%). Worsening negative symptoms at 1-year follow-up were predicted by hyper-connectivity and hypo-dynamism within the default-mode network at baseline assessment, while hypo-connectivity and hyper-dynamism predicted worsening positive symptoms. Given the modest sample size investigated, we recommend giving precedence to the relative ranking of the predictors investigated in this study, rather than the prediction accuracy estimates.
Identifiants
pubmed: 32469448
doi: 10.1002/hbm.25020
pmc: PMC7375115
doi:
Substances chimiques
Antipsychotic Agents
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
3342-3357Subventions
Organisme : NHMRC
ID : APP1138711
Organisme : NHMRC
ID : APP1099082
Organisme : NHMRC
ID : APP1136649
Organisme : NHMRC
ID : 1105825
Organisme : NHMRC
ID : 628386
Organisme : NHMRC
ID : 628880
Organisme : University of Melbourne Early Career Researcher
ID : 601253
Organisme : Australian National Health and Medical Research Council (NHMRC)
ID : 1065742
Informations de copyright
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
Références
Neuroimage. 2017 Jan 15;145(Pt B):246-253
pubmed: 27421184
Cereb Cortex. 2017 Oct 1;27(10):4719-4732
pubmed: 27591147
Schizophr Bull. 2018 Aug 20;44(5):1021-1034
pubmed: 28981875
World J Biol Psychiatry. 2016 Jun;17(4):285-95
pubmed: 26453061
Arch Gen Psychiatry. 1993 May;50(5):369-76
pubmed: 8098203
Neuron. 2010 Feb 25;65(4):550-62
pubmed: 20188659
Neuroimage. 2017 Jan 15;145(Pt B):166-179
pubmed: 27989847
AJNR Am J Neuroradiol. 2001 Aug;22(7):1326-33
pubmed: 11498421
Proc Natl Acad Sci U S A. 2003 Sep 16;100(19):11053-8
pubmed: 12958209
Neuroimage. 2008 Feb 15;39(4):1666-81
pubmed: 18082428
Clin Neurophysiol. 2010 Dec;121(12):1998-2006
pubmed: 21035741
Neuroimage Clin. 2014 Jul 24;5:298-308
pubmed: 25161896
Hum Brain Mapp. 2005 Sep;26(1):15-29
pubmed: 15852468
Neurosci Bull. 2017 Feb;33(1):73-84
pubmed: 27995564
Br J Psychiatry. 1996 Sep;169(3):371-8
pubmed: 9004982
Neuroimage. 2014 Oct 15;100:471-80
pubmed: 24973603
Hum Brain Mapp. 2018 Sep;39(9):3663-3681
pubmed: 29749660
Biol Psychiatry. 2010 Jul 1;68(1):61-9
pubmed: 20497901
Neuroimage. 2017 Dec;163:437-455
pubmed: 28916180
Schizophr Res. 2012 Aug;139(1-3):116-28
pubmed: 22658527
Neuroimage. 2007 Mar;35(1):83-8
pubmed: 17240167
Schizophr Bull. 1997;23(1):105-17
pubmed: 9050117
Neuropsychologia. 2006;44(14):2836-45
pubmed: 16879844
Acta Psychiatr Scand. 2006 Oct;114(4):249-56
pubmed: 16968362
Neuroimage. 2018 Oct 15;180(Pt A):68-77
pubmed: 28655633
J Am Acad Child Adolesc Psychiatry. 1992 Jan;31(1):147-50
pubmed: 1537767
Can J Psychiatry. 2000 Oct;45(8):710-6
pubmed: 11086553
Neuroimage. 2007 Oct 1;37(4):1083-90; discussion 1097-9
pubmed: 17719799
Transl Psychiatry. 2012 Nov 20;2:e190
pubmed: 23168990
Neurosci Biobehav Rev. 2013 Sep;37(8):1680-91
pubmed: 23769814
Neuroimage. 2010 Dec;53(4):1197-207
pubmed: 20600983
Hum Brain Mapp. 2019 May;40(7):2212-2228
pubmed: 30664285
Schizophr Res. 2017 Jun;184:73-81
pubmed: 28011131
Hum Brain Mapp. 2020 Aug 15;41(12):3342-3357
pubmed: 32469448
Schizophr Bull. 2007 Jul;33(4):1004-12
pubmed: 17556752
Front Hum Neurosci. 2013 Sep 11;7:571
pubmed: 24062671
Am J Psychiatry. 2016 Jan;173(1):69-77
pubmed: 26315980
Nat Rev Neurosci. 2015 Mar;16(3):159-72
pubmed: 25697159
Schizophr Res. 2014 Jun;156(1):87-95
pubmed: 24768131
J Psychiatr Res. 2016 Oct;81:140-51
pubmed: 27451107
Neuroimage. 2015 May 15;112:278-287
pubmed: 25770990
J Am Acad Child Adolesc Psychiatry. 1991 May;30(3):457-65
pubmed: 2055884
Biol Psychiatry. 2011 May 15;69(10):967-73
pubmed: 21193174
Neuroimage. 1999 Feb;9(2):179-94
pubmed: 9931268
Behav Brain Funct. 2010 Oct 11;6:58
pubmed: 20932348
Arch Gen Psychiatry. 1999 Mar;56(3):241-7
pubmed: 10078501
Expert Opin Pharmacother. 2012 Aug;13(11):1587-98
pubmed: 22304541
PLoS One. 2012;7(8):e42707
pubmed: 22912723
Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):676-82
pubmed: 11209064
Schizophr Res. 2019 Feb;204:262-270
pubmed: 30098853
Proc Natl Acad Sci U S A. 2000 Sep 26;97(20):11050-5
pubmed: 10984517
Schizophr Res. 2012 May;137(1-3):58-65
pubmed: 22365149
Br J Psychiatry. 1993 Jan;162:80-6
pubmed: 8425144
Schizophr Res. 2016 Jun;173(3):159-165
pubmed: 25819936
Neuroimage. 2018 May 1;171:415-436
pubmed: 29278773
Neuroimage. 2016 Feb 15;127:242-256
pubmed: 26631813
Hum Brain Mapp. 2015 Jul;36(7):2719-31
pubmed: 25833189
Neuroimage. 2006 Jul 1;31(3):968-80
pubmed: 16530430
NPJ Schizophr. 2018 May 7;4(1):8
pubmed: 29736018
J Am Acad Child Adolesc Psychiatry. 2014 Aug;53(8):859-68
pubmed: 25062593
Ann N Y Acad Sci. 2014 May;1316:29-52
pubmed: 24502540
Neuroimage Clin. 2016 Aug 13;12:542-549
pubmed: 27672558
Psychol Med. 2012 May;42(5):1037-47
pubmed: 22059690
Neuroimage. 2012 May 1;60(4):2096-106
pubmed: 22343126
Neuroimage. 2011 Aug 1;57(3):1221-33
pubmed: 21609772
Schizophr Bull. 2016 Jul;42(4):1046-55
pubmed: 26873890
Proc Natl Acad Sci U S A. 2009 Jan 27;106(4):1279-84
pubmed: 19164577
Ann Gen Psychiatry. 2007 Mar 16;6:10
pubmed: 17367524
Asian J Psychiatr. 2014 Oct;11:3-7
pubmed: 25216917
Mol Psychiatry. 2020 Apr;25(4):906-913
pubmed: 29921920
BMC Psychiatry. 2013 Feb 08;13:50
pubmed: 23394123
Schizophr Res. 2010 Mar;117(1):21-30
pubmed: 20097544
PLoS One. 2016 Mar 16;11(3):e0149849
pubmed: 26981625
Schizophr Res. 2014 Jun;156(1):23-9
pubmed: 24768133
Schizophr Bull. 2012 Nov;38(6):1234-46
pubmed: 22080496
J Autism Dev Disord. 1982 Dec;12(4):343-57
pubmed: 7161236
Hum Brain Mapp. 2009 Feb;30(2):625-37
pubmed: 18219617
Schizophr Res. 2016 Jan;170(1):55-65
pubmed: 26654933
J Clin Psychiatry. 2000;61 Suppl 8:5-11; discussion 12-3
pubmed: 10811237
Neuroimage. 2015 May 15;112:267-277
pubmed: 25770991
Schizophr Res. 2012 Aug;139(1-3):7-12
pubmed: 22633528
Front Psychiatry. 2016 Mar 31;7:50
pubmed: 27064972
Neuroimage. 2016 Jul 1;134:645-657
pubmed: 27118088
Neuropsychopharmacology. 2007 Sep;32(9):1903-10
pubmed: 17287825
Biol Psychiatry Cogn Neurosci Neuroimaging. 2018 Sep;3(9):798-808
pubmed: 29789268
Nature. 2009 Jul 9;460(7252):202-7
pubmed: 19587761
Clin Psychopharmacol Neurosci. 2012 Aug;10(2):78-87
pubmed: 23430971
Neuron. 2002 Jan 31;33(3):341-55
pubmed: 11832223
Ann N Y Acad Sci. 2008 Mar;1124:1-38
pubmed: 18400922
Neuropsychobiology. 2012;66(1):63-9
pubmed: 22797279
Front Syst Neurosci. 2010 Jun 17;4:19
pubmed: 20592951
Neuroimage. 2012 Feb 1;59(3):2142-54
pubmed: 22019881
Schizophr Bull. 2005 Jul;31(3):769-80
pubmed: 16123530
NPJ Schizophr. 2015 Mar 04;1:14005
pubmed: 27336027
JAMA Psychiatry. 2018 Nov 1;75(11):1156-1172
pubmed: 30267047
Brain. 2008 Apr;131(Pt 4):945-61
pubmed: 18299296
J Am Acad Child Adolesc Psychiatry. 2008 Oct;47(10):1133-40
pubmed: 18724254
Psychopathology. 2018;51(1):16-23
pubmed: 29332091
Am J Psychiatry. 2005 Mar;162(3):495-506
pubmed: 15741466
Schizophr Bull. 2015 Mar;41(2):471-82
pubmed: 24914177
Neuroimage. 1999 Feb;9(2):195-207
pubmed: 9931269
Schizophr Res. 2007 Dec;97(1-3):194-205
pubmed: 17628434
Epidemiol Psychiatr Sci. 2014 Sep;23(3):219-25
pubmed: 24849668
Arch Gen Psychiatry. 2009 Jul;66(7):700-12
pubmed: 19581561
Acta Neurol Scand. 1979 Jul;60(1):12-25
pubmed: 495039
Schizophr Bull. 2012 Mar;38(2):285-94
pubmed: 20595202
JAMA Psychiatry. 2015 Jan;72(1):5-13
pubmed: 25372846
Schizophr Bull. 2019 Jun 18;45(4):892-901
pubmed: 30169884
Psychopathology. 1989;22(2-3):168-76
pubmed: 2762476