Accelerated Brain Aging in Schizophrenia and Beyond: A Neuroanatomical Marker of Psychiatric Disorders

被引:309
作者
Koutsouleris, Nikolaos [1 ]
Davatzikos, Christos [2 ]
Borgwardt, Stefan [3 ]
Gaser, Christian [4 ]
Bottlender, Ronald [1 ]
Frodl, Thomas [1 ]
Falkai, Peter [1 ]
Riecher-Roessler, Anita [3 ]
Moeller, Hans-Juergen [1 ]
Reiser, Maximilian [5 ]
Pantelis, Christos [6 ]
Meisenzahl, Eva [1 ]
机构
[1] Univ Munich, Dept Psychiat & Psychotherapy, D-80336 Munich, Germany
[2] Univ Penn, Ctr Biomed Image Comp & Analyt, Philadelphia, PA 19104 USA
[3] Univ Basel, Dept Psychiat, Basel, Switzerland
[4] Univ Jena, Struct Brain Imaging Grp, Dept Psychiat & Neurol, Jena, Germany
[5] Univ Munich, Dept Radiol, D-80336 Munich, Germany
[6] Univ Melbourne, Melbourne Neuropsychiat Ctr, Melbourne, Vic, Australia
关键词
neuroanatomical dysmaturation; biomarker; machine learning; accelerated aging; schizophr enia; depression; borderline personality disorder; ONSET; PSYCHOSIS; DISEASE; METAANALYSIS; ADOLESCENCE; MATURATION; DEPRESSION; PREDICTION; BIOMARKERS; CHILDHOOD;
D O I
10.1093/schbul/sbt142
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Structural brain abnormalities are central to schizophrenia (SZ), but it remains unknown whether they are linked to dysmaturational processes crossing diagnostic boundaries, aggravating across disease stages, and driving the neurodiagnostic signature of the illness. Therefore, we investigated whether patients with SZ (N = 141), major depression (MD; N = 104), borderline personality disorder (BPD; N = 57), and individuals in at-risk mental states for psychosis (ARMS; N = 89) deviated from the trajectory of normal brain maturation. This deviation was measured as difference between chronological and the neuroanatomical age (brain age gap estimation [BrainAGE]). Neuroanatomical age was determined by a machine learning system trained to individually estimate age from the structural magnetic resonance imagings of 800 healthy controls. Group-level analyses showed that BrainAGE was highest in SZ (+5.5 y) group, followed by MD (+4.0), BPD (+3.1), and the ARMS (+1.7) groups. Earlier disease onset in MD and BPD groups correlated with more pronounced BrainAGE, reaching effect sizes of the SZ group. Second, BrainAGE increased across at-risk, recent onset, and recurrent states of SZ. Finally, BrainAGE predicted both patient status as well as negative and disorganized symptoms. These findings suggest that an individually quantifiable "accelerated aging" effect may particularly impact on the neuroanatomical signature of SZ but may extend also to other mental disorders.
引用
收藏
页码:1140 / 1153
页数:14
相关论文
共 50 条
[1]  
ANDREASEN NC, 1989, BRITISH JOURNAL OF PSYCHIATRY, VOL 155, SUPP NO. 7, P49
[2]   Distinguishing Prodromal From First-Episode Psychosis Using Neuroanatomical Single-Subject Pattern Recognition [J].
Borgwardt, Stefan ;
Koutsouleris, Nikolaos ;
Aston, Jacqueline ;
Studerus, Erich ;
Smieskova, Renata ;
Riecher-Roessler, Anita ;
Meisenzahl, Eva M. .
SCHIZOPHRENIA BULLETIN, 2013, 39 (05) :1105-1114
[3]   Neuroanatomical Assessment of Biological Maturity [J].
Brown, Timothy T. ;
Kuperman, Joshua M. ;
Chung, Yoonho ;
Erhart, Matthew ;
McCabe, Connor ;
Hagler, Donald J., Jr. ;
Venkatraman, Vijay K. ;
Akshoomoff, Natacha ;
Amaral, David G. ;
Bloss, Cinnamon S. ;
Casey, B. J. ;
Chang, Linda ;
Ernst, Thomas M. ;
Frazier, Jean A. ;
Gruen, Jeffrey R. ;
Kaufmann, Walter E. ;
Kenet, Tal ;
Kennedy, David N. ;
Murray, Sarah S. ;
Sowell, Elizabeth R. ;
Jernigan, Terry L. ;
Dale, Anders M. .
CURRENT BIOLOGY, 2012, 22 (18) :1693-1698
[4]   Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities [J].
Davatzikos, C ;
Shen, DG ;
Gur, RC ;
Wu, XY ;
Liu, DF ;
Fan, Y ;
Hughett, P ;
Turetsky, BI ;
Gur, RE .
ARCHIVES OF GENERAL PSYCHIATRY, 2005, 62 (11) :1218-1227
[5]   Voxel-based morphometry using the RAVENS maps: Methods and validation using simulated longitudinal atrophy [J].
Davatzikos, C ;
Genc, A ;
Xu, DR ;
Resnick, SM .
NEUROIMAGE, 2001, 14 (06) :1361-1369
[6]   Schizophrenia delays and alters maturation of the brain in adolescence [J].
Douaud, Gwenaelle ;
Mackay, Clare ;
Andersson, Jesper ;
James, Susan ;
Quested, Digby ;
Ray, Manaan Kar ;
Connell, Julie ;
Roberts, Neil ;
Crow, Timothy J. ;
Matthews, Paul M. ;
Smith, Stephen ;
James, Anthony .
BRAIN, 2009, 132 :2437-2448
[7]   Anatomy of bipolar disorder and schizophrenia: A meta-analysis [J].
Ellison-Wright, Ian ;
Bullmore, Edward T. .
SCHIZOPHRENIA RESEARCH, 2010, 117 (01) :1-12
[8]  
Fava M, 1996, AM J PSYCHIAT, V153, P1308
[9]   Repeated double cross validation [J].
Filzmoser, Peter ;
Liebmann, Bettina ;
Varmuza, Kurt .
JOURNAL OF CHEMOMETRICS, 2009, 23 (3-4) :160-171
[10]   Brain maturation: Predicting individual BrainAGE in children and adolescents using structural MRI [J].
Franke, Katja ;
Luders, Eileen ;
May, Arne ;
Wilke, Marko ;
Gaser, Christian .
NEUROIMAGE, 2012, 63 (03) :1305-1312