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Voxelwise Multivariate Analysis of Brain-Psychosocial Associations in Adolescents Reveals 6 Latent Dimensions of Cognition and Psychopathology.
Adams, Rick A; Zor, Cemre; Mihalik, Agoston; Tsirlis, Konstantinos; Brudfors, Mikael; Chapman, James; Ashburner, John; Paulus, Martin P; Mourão-Miranda, Janaina.
Afiliação
  • Adams RA; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom. Electronic address: rick.adams@ucl.ac.uk.
  • Zor C; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.
  • Mihalik A; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom; Department of Psychiatry, University of Cambridge, Cambridge,
  • Tsirlis K; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
  • Brudfors M; Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
  • Chapman J; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
  • Ashburner J; Wellcome Centre for Human Neuroimaging, University College London, London, United Kingdom.
  • Paulus MP; Laureate Institute for Brain Research, Tulsa, Oklahoma.
  • Mourão-Miranda J; Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom.
Article em En | MEDLINE | ID: mdl-38588854
ABSTRACT

BACKGROUND:

Adolescence heralds the onset of considerable psychopathology, which may be conceptualized as an emergence of altered covariation between symptoms and brain measures. Multivariate methods can detect such modes of covariation or latent dimensions, but none specifically relating to psychopathology have yet been found using population-level structural brain data. Using voxelwise (instead of parcellated) brain data may strengthen latent dimensions' brain-psychosocial relationships, but this creates computational challenges.

METHODS:

We obtained voxelwise gray matter density and psychosocial variables from the baseline (ages 9-10 years) Adolescent Brain Cognitive Development (ABCD) Study cohort (N = 11,288) and employed a state-of-the-art segmentation method, sparse partial least squares, and a rigorous machine learning framework to prevent overfitting.

RESULTS:

We found 6 latent dimensions, 4 of which pertain specifically to mental health. The mental health dimensions were related to overeating, anorexia/internalizing, oppositional symptoms (all ps < .002) and attention-deficit/hyperactivity disorder symptoms (p = .03). Attention-deficit/hyperactivity disorder was related to increased and internalizing symptoms related to decreased gray matter density in dopaminergic and serotonergic midbrain areas, whereas oppositional symptoms were related to increased gray matter in a noradrenergic nucleus. Internalizing symptoms were related to increased and oppositional symptoms to reduced gray matter density in the insular, cingulate, and auditory cortices. Striatal regions featured strongly, with reduced caudate nucleus gray matter in attention-deficit/hyperactivity disorder and reduced putamen gray matter in oppositional/conduct problems. Voxelwise gray matter density generated stronger brain-psychosocial correlations than brain parcellations.

CONCLUSIONS:

Voxelwise brain data strengthen latent dimensions of brain-psychosocial covariation, and sparse multivariate methods increase their psychopathological specificity. Internalizing and externalizing symptoms are associated with opposite gray matter changes in similar cortical and subcortical areas.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Limite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging / Biol. Psychiatry Cogn. Neurosci. Neuroimaging / Biological psychiatry Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento por Ressonância Magnética Limite: Adolescent / Child / Female / Humans / Male Idioma: En Revista: Biol Psychiatry Cogn Neurosci Neuroimaging / Biol. Psychiatry Cogn. Neurosci. Neuroimaging / Biological psychiatry Ano de publicação: 2024 Tipo de documento: Article