Association of Heritable Cognitive Ability and Psychopathology With White Matter Properties in Children and Adolescents

被引:66
|
作者
Alnaes, Dag [1 ]
Kaufmann, Tobias [1 ]
Nhat Trung Doan [1 ]
Cordova-Palomera, Aldo [1 ]
Wang, Yunpeng [1 ]
Bettella, Francesco [1 ]
Moberget, Torgeir [1 ]
Andreassen, Ole A. [1 ]
Westlye, Lars T. [1 ,2 ]
机构
[1] Oslo Univ Hosp, Div Mental Hlth & Addict, Norwegian Ctr Mental Disorders Res, KG Jebsen Ctr Psychosis Res, Oslo, Norway
[2] Univ Oslo, Dept Psychol, Oslo, Norway
基金
欧盟第七框架计划;
关键词
PSYCHIATRIC-DISORDERS; LIFE-SPAN; BRAIN-DEVELOPMENT; HUMAN CONNECTOME; DIFFUSION; MICROSTRUCTURE; PATTERNS; CONNECTIVITY; PERSONALITY; BEHAVIOR;
D O I
10.1001/jamapsychiatry.2017.4277
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
IMPORTANCE Many mental disorders emerge during adolescence, which may reflect a cost of the potential for brain plasticity offered during this period. Brain dysconnectivity has been proposed as a common factor across diagnostic categories. OBJECTIVE To investigate the hypothesis that brain dysconnectivity is a transdiagnostic phenotype in adolescence with increased susceptibility and symptoms of psychiatric disease. DESIGN, SETTING, AND PARTICIPANTS We investigated clinical symptoms as well as cognitive function in 6487 individuals aged 8 to 21 years from November 1, 2009, to November 30, 2011, in the Philadelphia Neurodevelopmental Cohort and analyzed diffusion magnetic resonance imaging brain scans for 748 of the participants. MAIN OUTCOMES AND MEASURES Independent component analysis was used to derive dimensional psychopathology scores, and genome-wide complex trait analysis was used to estimate its heritability. Multimodal fusion simultaneously modeled contributions of the diffusion magnetic resonance imaging metrics fractional anisotropy, mean diffusivity, radial diffusivity, L1 (the principal diffusion tensor imaging eigen value), mode of anisotropy, as well as dominant and secondary fiber orientations, and structural connectivity density, and their association with general psychopathology and cognition. RESULTS Machine learning with 10-fold cross-validation and permutation testing in 729 individuals (aged 8 to 22 years; mean [SD] age, 15.1 [3.3] years; 343 females [46%]) revealed significant association with general psychopathology levels (r = 0.24, P < .001) and cognition (r = 0.39, P < .001). A brain white matter pattern reflecting frontotemporal connectivity and crossing fibers in the uncinate fasciculus was the most associated feature for both traits. Univariate analysis across a range of clinical domains and cognitive test scores confirmed its transdiagnostic importance. Both the general psychopathology (16%; SE, 0.095; P = .05) and cognitive (18%; SE, 0.09; P = .01) factor were heritable and showed a negative genetic correlation. CONCLUSION AND RELEVANCE Dimensional and heritable general cognitive and psychopathology factors are associated with specific patterns of white matter properties, suggesting that dysconnectivity is a transdiagnostic brain-based phenotype in individuals with increased susceptibility and symptoms of psychiatric disorders.
引用
收藏
页码:287 / 295
页数:9
相关论文
共 50 条
  • [1] White Matter Microstructure and the General Psychopathology Factor in Children
    Neumann, Alexander
    Muetzel, Ryan L.
    Lahey, Benjamin B.
    Bakermans-Kranenburg, Marian J.
    van IJzendoorn, Marinus H.
    Jaddoe, Vincent W.
    Hillegers, Manon H. J.
    White, Tonya
    Tiemeier, Henning
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF CHILD AND ADOLESCENT PSYCHIATRY, 2020, 59 (11): : 1285 - 1296
  • [2] The Association of Motoric Cognitive Risk with White Matter Hyperintensities and Microstructural Properties
    Gomez, Gabriela T.
    Gottesman, Rebecca F.
    Palta, Priya
    Sullivan, Kevin J.
    Gross, Alden L.
    Gabriel, Kelley Pettee
    Soldan, Anja
    Albert, Marilyn
    Knopman, David S.
    Jack, Clifford R., Jr.
    Windham, B. Gwen
    Walker, Keenan A.
    [J]. NEUROLOGY, 2021, 96 (15)
  • [3] White Matter Disruptions in Adolescents Exposed to Childhood Maltreatment and Vulnerability to Psychopathology
    Huang, Hao
    Gundapuneedi, Tejasvi
    Rao, Uma
    [J]. NEUROPSYCHOPHARMACOLOGY, 2012, 37 (12) : 2693 - 2701
  • [4] White Matter Disruptions in Adolescents Exposed to Childhood Maltreatment and Vulnerability to Psychopathology
    Hao Huang
    Tejasvi Gundapuneedi
    Uma Rao
    [J]. Neuropsychopharmacology, 2012, 37 : 2693 - 2701
  • [5] White Matter Lesions in Children and Adolescents With Migraine
    Candee, Meghan S.
    McCandless, Rachel T.
    Moore, Kevin R.
    Arrington, Cammon B.
    Minich, L. LuAnn
    Bale, James F., Jr.
    [J]. PEDIATRIC NEUROLOGY, 2013, 49 (06) : 393 - 396
  • [6] White matter microstructure in children and adolescents with ADHD
    Connaughton, Michael
    Whelan, Robert
    O'Hanlon, Erik
    McGrath, Jane
    [J]. NEUROIMAGE-CLINICAL, 2022, 33
  • [7] White Matter Correlates of Cognitive Flexibility in Youth With Bipolar Disorder and Typically Developing Children and Adolescents
    Radoeva, Petya
    Jenkins, Gracie
    Gilbert, Anna
    DeYoung, Lena
    Barthelemy, Christine
    MacPherson, Heather
    Kim, Kerri
    Kudinova, Anastacia
    Dickstein, Daniel
    [J]. NEUROPSYCHOPHARMACOLOGY, 2019, 44 (SUPPL 1) : 415 - 416
  • [8] White matter correlates of cognitive flexibility in youth with bipolar disorder and typically developing children and adolescents
    Radoeva, Petya D.
    Jenkins, Gracie A.
    Schettini, Elana
    Gilbert, Anna C.
    Barthelemy, Christine M.
    DeYoung, Lena L. A.
    Kudinova, Anastacia Y.
    Kim, Kerri L.
    MacPherson, Heather A.
    Dickstein, Daniel P.
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2020, 305
  • [9] Association between Changes in White Matter Microstructure and Cognitive Impairment in White Matter Lesions
    Hu, An-Ming
    Ma, Yan-Ling
    Li, Yue-Xiu
    Han, Zai-Zhu
    Yan, Nan
    Zhang, Yu-Mei
    [J]. BRAIN SCIENCES, 2022, 12 (04)
  • [10] White Matter Integrity is Related to Cognitive Ability in Early Life
    Bullins, Jessica N.
    Goldman, Barbara D.
    Short, Sarah J.
    Knickmeyer, Rebecca C.
    Styner, Martin
    Gilmore, John H.
    [J]. BIOLOGICAL PSYCHIATRY, 2016, 79 (09) : 23S - 24S