Accelerated brain aging in schizophrenia and beyond: A neuroanatomical marker of psychiatric disorders

Schizophrenia Bulletin

Volumn 40, Issue 5, 2014, Pages 1140-1153

  Koutsouleris, Nikolaos ^a   Davatzikos, Christos ^b   Borgwardt, Stefan ^c   Gaser, Christian ^d   Bottlender, Ronald ^a   Frodl, Thomas ^a   Falkai, Peter ^a   Riecher Rössler, Anita ^c   Möller, Hans Jürgen ^a   Reiser, Maximilian ^e   Pantelis, Christos ^f   Meisenzahl, Eva ^a  

^a LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF BASEL   (Switzerland)

^d FRIEDRICH SCHILLER UNIVERSITY JENA   (Germany)

^e UNIVERSITY OF MUNICH   (Germany)

^f UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Accelerated aging; Biomarker; Borderline personality disorder; Depression; Machine learning; Neuroanatomical dysmaturation; Schizophr enia

Indexed keywords

ANTIDEPRESSANT AGENT; ATYPICAL ANTIPSYCHOTIC AGENT; BIOLOGICAL MARKER; MOOD STABILIZER;

ACCELERATION; ADULT; AGING; ARTICLE; BORDERLINE STATE; BRAIN AGING; BRAIN MATURATION; BRAIN REGION; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; MENTAL HEALTH; NEUROANATOMY; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; ONSET AGE; PRIORITY JOURNAL; PSYCHOPHARMACOTHERAPY; SCHIZOPHRENIA; STRUCTURAL MAGNETIC RESONANCE IMAGING; STRUCTURAL NEUROIMAGING; SUPPORT VECTOR MACHINE; ADOLESCENT; AGE; AGED; BRAIN; CLINICAL TRIAL; DISEASE COURSE; MIDDLE AGED; MULTICENTER STUDY; PATHOLOGY; PSYCHOSIS; RISK; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; AGE OF ONSET; AGED; AGING; BIOMARKERS; BORDERLINE PERSONALITY DISORDER; BRAIN; DEPRESSIVE DISORDER, MAJOR; DISEASE PROGRESSION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PSYCHOTIC DISORDERS; RISK; SCHIZOPHRENIA; YOUNG ADULT;

EID: 84903566033     PISSN: 05867614     EISSN: 17451701     Source Type: Journal    
DOI: 10.1093/schbul/sbt142     Document Type: Article

References (50)

1. Rapoport JL, Giedd JN, Gogtay N. Neurodevelopmental model of schizophrenia: update 2012. Mol Psychiatry. 2012;17: 1228-1238.
2. Brown TT, Kuperman JM, Chung Y, et al Neuroanatomical assessment of biological maturity. Curr Biol. 2012;22: 1693-1698.
3. Franke K, Luders E, May A, Wilke M, Gaser C. Brain maturation: predicting individual BrainAGE in children and adolescents using structural MRI. Neuroimage. 2012;63: 1305-1312.
4. Franke K, Ziegler G, Klöppel S, Gaser C; Alzheimer's Disease Neuroimaging Initiative. Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: exploring the influence of various parameters. Neuroimage. 2010;50: 883-892.
5. Pantelis C, Yücel M, Wood SJ, et al Structural brain imaging evidence for multiple pathological processes at different stages of brain development in schizophrenia. Schizophr Bull. 2005;31: 672-696.
6. Rapoport JL, Gogtay N. Brain neuroplasticity in healthy, hyperactive and psychotic children: insights from neuroimaging. Neuropsychopharmacology. 2008;33: 181-197.
7. Gogtay N, Vyas NS, Testa R, Wood SJ, Pantelis C. Age of onset of schizophrenia: perspectives from structural neuroimaging studies. Schizophr Bull. 2011;37: 504-513.
8. Pantelis C, Yücel M, Wood SJ, McGorry PD, Velakoulis D. Early and late neurodevelopmental disturbances in schizophrenia and their functional consequences. Aust N Z J Psychiatry. 2003;37: 399-406.
9. Olabi B, Ellison-Wright I, McIntosh AM, Wood SJ, Bullmore E, Lawrie SM. Are there progressive brain changes in schizophrenia? A meta-analysis of structural magnetic resonance imaging studies. Biol Psychiatry. 2011;70: 88-96.
10. Kochunov P, Glahn DC, Rowland LM, et al Testing the hypothesis of accelerated cerebral white matter aging in schizophrenia and major depression. Biol Psychiatry. 2013;73: 482-491.
11. Kirkpatrick B, Messias E, Harvey PD, Fernandez-Egea E, Bowie CR. Is schizophrenia a syndrome of accelerated aging? Schizophr Bull. 2008;34: 1024-1032.
12. Giedd JN, Blumenthal J, Jeffries NO, et al Brain development during childhood and adolescence: a longitudinal MRI study. Nat Neurosci. 1999;2: 861-863.
13. Ellison-Wright I, Bullmore E. Anatomy of bipolar disorder and schizophrenia: a meta-analysis. Schizophr Res. 2010;117: 1-12.
14. Orrù G, Pettersson-Yeo W, Marquand AF, Sartori G, Mechelli A. Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review. Neurosci Biobehav Rev. 2012;36: 1140-1152.
15. Pantelis C, Yücel M, Bora E, et al Neurobiological markers of illness onset in psychosis and schizophrenia: the search for a moving target. Neuropsychol Rev. 2009;19: 385-398.
16. Marcus DS, Wang TH, Parker J, Csernansky JG, Morris JC, Buckner RL. Open Access Series of Imaging Studies (OASIS): cross-sectional MRI data in young, middle aged, nondemented, and demented older adults. J Cogn Neurosci. 2007;19: 1498-1507.
17. Klosterkötter J, Hellmich M, Steinmeyer EM, Schultze- Lutter F. Diagnosing schizophrenia in the initial prodromal phase. Arch Gen Psychiatry. 2001;58: 158-164.
18. Koutsouleris N, Meisenzahl EM, Davatzikos C, et al Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition. Arch Gen Psychiatry. 2009;66: 700-712.
19. Yung AR, Phillips LJ, McGorry PD, et al Prediction of psychosis. A step towards indicated prevention of schizophrenia. Br J Psychiatry Suppl. 1998;172: 14-20.
20. Borgwardt S, Koutsouleris N, Aston J, et al Distinguishing prodromal from first-episode psychosis using neuroanatomical singlesubject pattern recognition. Schizophr Bull. 2013;39: 1105-1114.
21. Kay SR, Fiszbein A, Opler LA. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr Bull. 1987;13: 261-276.
22. Andreasen NC. The Scale for the Assessment of Negative Symptoms (SANS): conceptual and theoretical foundations. Br. J. Psychiatry Suppl. 1989;7: 49-58.
23. Hamilton M. Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967;6: 278-296.
24. Lambert M, Moritz S, Naber D. Pharmakotherapie der schizophrenie. In: Naber D, Lambert M, eds. Schizophrenie. Stuttgart, Germany: Georg Thieme Verlag; 2004: 69-106.
25. Riecher-Rössler A, Pflueger MO, Aston J, et al Efficacy of using cognitive status in predicting psychosis: a 7-year followup. Biol Psychiatry. 2009;66: 1023-1030.
26. Lieberman J, Chakos M, Wu H, et al Longitudinal study of brain morphology in first episode schizophrenia. Biol Psychiatry. 2001;49: 487-499.
27. Gaser C. Voxel-Based Morphometry Toolbox, version 8 (VBM8). 2009. http: //dbm.neuro.uni-jena.de. Accessed October 3, 2013.
28. Koutsouleris N, Patschurek-Kliche K, Scheuerecker J, et al Neuroanatomical correlates of executive dysfunction in the at-risk mental state for psychosis. Schizophr Res. 2010;123: 160-174.
29. Ou Y, Sotiras A, Paragios N, Davatzikos C. DRAMMS: deformable registration via attribute matching and mutualsaliency weighting. Med Image Anal. 2011;15: 622-639.
30. Davatzikos C, Genc A, Xu D, Resnick SM. Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy. Neuroimage. 2001;14: 1361-1369.
31. Noble WS. What is a support vector machine? Nat Biotechnol. 2006;24: 1565-1567.
32. Schölkopf B, Smola A. Learning with Kernels. Support Vector Machines, Regularization, Optimization and Beyond. Cambridge, MA: MIT; 2002.
33. Filzmoser P, Liebmann B, Varmuza K. Repeated double cross validation. J Chemometrics. 2009;23: 160-171.
34. Koutsouleris N, Borgwardt S, Meisenzahl EM, Bottlender R, Möller HJ, Riecher-Rössler A. Disease prediction in the at-risk mental state for psychosis using neuroanatomical biomarkers: results from the FePsy study. Schizophr Bull. 2012;38: 1234-1246.
35. Koutsouleris N, Gaser C, Bottlender R, et al Use of neuroanatomical pattern regression to predict the structural brain dynamics of vulnerability and transition to psychosis. Schizophr Res. 2010;123: 175-187.
36. Navot A, Shpigelman L, Tishby N, Vaadia E. Nearest neighbor based feature selection for regression and its application to neural activity. In: Weiss Y, Schölkopf B, Plattet J, eds. Advances in Neural Information Processing Systems 18. MIT Press: Cambridge, MA; 2006: 995-1002.
37. Fava M, Alpert JE, Borus JS, Nierenberg AA, Pava JA, Rosenbaum JF. Patterns of personality disorder comorbidity in early-onset versus late-onset major depression. Am J Psychiatry. 1996;153: 1308-1312.
38. Korten NC, Comijs HC, Lamers F, Penninx BW. Early and late onset depression in young and middle aged adults: differential symptomatology, characteristics and risk factors? J Affect Disord. 2012;138: 259-267.
39. Zisook S, Rush AJ, Albala A, et al Factors that differentiate early vs. later onset of major depression disorder. Psychiatry Res. 2004;129: 127-140.
40. Gogtay N, Sporn A, Clasen LS, et al Comparison of progressive cortical gray matter loss in childhood-onset schizophrenia with that in childhood-onset atypical psychoses. Arch Gen Psychiatry. 2004;61: 17-22.
41. Uhlhaas PJ, Singer W. The development of neural synchrony and large-scale cortical networks during adolescence: relevance for the pathophysiology of schizophrenia and neurodevelopmental hypothesis. Schizophr Bull. 2011;37: 514-523.
42. Douaud G, Mackay C, Andersson J, et al Schizophrenia delays and alters maturation of the brain in adolescence. Brain. 2009;132: 2437-2448.
43. Honea R, Crow TJ, Passingham D, Mackay CE. Regional deficits in brain volume in schizophrenia: a meta-analysis of voxel-based morphometry studies. Am J Psychiatry. 2005;162: 2233-2245.
44. Davatzikos C, Shen D, Gur RC, et al Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities. Arch Gen Psychiatry. 2005;62: 1218-1227.
45. Smieskova R, Fusar-Poli P, Allen P, et al The effects of antipsychotics on the brain: what have we learnt from structural imaging of schizophrenia?-A systematic review. Curr Pharm Des. 2009;15: 2535-2549.
46. Koutsouleris N, Gaser C, Jäger M, et al Structural correlates of psychopathological symptom dimensions in schizophrenia: a voxel-based morphometric study. Neuroimage. 2008;39: 1600-1612.
47. Molina V, Hernández JA, Sanz J, et al Subcortical and cortical gray matter differences between Kraepelinian and non-Kraepelinian schizophrenia patients identified using voxel-based morphometry. Psychiatry Res. 2010;184: 16-22.
48. Lang FU, Kösters M, Lang S, Becker T, Jäger M. Psychopathological long-term outcome of schizophrenia - a review. Acta Psychiatr Scand. 2013;127: 173-182.
49. Fusar-Poli P, Borgwardt S, Bechdolf A, et al The psychosis high-risk state: a comprehensive state-of-The-art review. Arch Gen Psychiatry. 2012;70: 1-14.
50. Meyer-Lindenberg A. From maps to mechanisms through neuroimaging of schizophrenia. Nature. 2010;468: 194-202.