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Comparison of regional brain deficit patterns in common psychiatric and neurological disorders as revealed by big data.
Kochunov, Peter; Ryan, Meghann C; Yang, Qifan; Hatch, Kathryn S; Zhu, Alyssa; Thomopoulos, Sophia I; Jahanshad, Neda; Schmaal, Lianne; Thompson, Paul M; Chen, Shuo; Du, Xiaoming; Adhikari, Bhim M; Bruce, Heather; Hare, Stephanie; Goldwaser, Eric L; Kvarta, Mark D; Nichols, Thomas E; Hong, L Elliot.
Afiliación
  • Kochunov P; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: pkochunov@som.umaryland.edu.
  • Ryan MC; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: MCRyan@som.umaryland.edu.
  • Yang Q; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Electronic address: qifan.yang@usc.edu.
  • Hatch KS; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: KHatch@som.umaryland.edu.
  • Zhu A; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Electronic address: alyssa.zhu@ini.usc.edu.
  • Thomopoulos SI; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Electronic address: sthomopo@usc.edu.
  • Jahanshad N; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Electronic address: neda.jahanshad@usc.edu.
  • Schmaal L; Orygen, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia. Electronic address: lianne.schmaal@unimelb.edu.au.
  • Thompson PM; Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA. Electronic address: pthomp@usc.edu.
  • Chen S; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: ShuoChen@som.umaryland.edu.
  • Du X; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: XDu@som.umaryland.edu.
  • Adhikari BM; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: BAdhikari@som.umaryland.edu.
  • Bruce H; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: HBruce@som.umaryland.edu.
  • Hare S; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: Stephanie.Hare@som.umaryland.edu.
  • Goldwaser EL; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: EGoldwaser@som.umaryland.edu.
  • Kvarta MD; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: Mark.Kvarta@som.umaryland.edu.
  • Nichols TE; Nuffield Department of Population Health of the University of Oxford, Oxford, United Kingdom. Electronic address: thomas.nichols@bdi.ox.ac.uk.
  • Hong LE; Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: Ehong@som.umaryland.edu.
Neuroimage Clin ; 29: 102574, 2021.
Article en En | MEDLINE | ID: mdl-33530016
ABSTRACT
Neurological and psychiatric illnesses are associated with regional brain deficit patterns that bear unique signatures and capture illness-specific characteristics. The Regional Vulnerability Index (RVI) was developed toquantify brain similarity by comparing individual white matter microstructure, cortical gray matter thickness and subcortical gray matter structural volume measures with neuroanatomical deficit patterns derived from large-scale meta-analytic studies. We tested the specificity of the RVI approach for major depressive disorder (MDD) and Alzheimer's disease (AD) in a large epidemiological sample of UK Biobank (UKBB) participants (N = 19,393; 9138 M/10,255F; age = 64.8 ± 7.4 years). Compared to controls free of neuropsychiatric disorders, participants with MDD (N = 2,248; 805 M/1443F; age = 63.4 ± 7.4) had significantly higher RVI-MDD values (t = 5.6, p = 1·10-8), but showed no detectable difference in RVI-AD (t = 2.0, p = 0.10). Subjects with dementia (N = 7; 4 M/3F; age = 68.6 ± 8.6 years) showed significant elevation in RVI-AD (t = 4.2, p = 3·10-5) but not RVI-MDD (t = 2.1, p = 0.10) compared to controls. Even within affective illnesses, participants with bipolar disorder (N = 54) and anxiety disorder (N = 773) showed no significant elevation in whole-brain RVI-MDD. Participants with Parkinson's disease (N = 37) showed elevation in RVI-AD (t = 2.4, p = 0.01) while subjects with stroke (N = 247) showed no such elevation (t = 1.1, p = 0.3). In summary, we demonstrated elevation in RVI-MDD and RVI-AD measures in the respective illnesses with strong replicability that is relatively specific to the respective diagnoses. These neuroanatomic deviation patterns offer a useful biomarker for population-wide assessments of similarity to neuropsychiatric illnesses.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor / Enfermedad de Alzheimer Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Clin Año: 2021 Tipo del documento: Article
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Depresivo Mayor / Enfermedad de Alzheimer Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Clin Año: 2021 Tipo del documento: Article