Discovering heritable modes of MEG spectral power.
Adult
Algorithms
Bayes Theorem
Brain
/ growth & development
Brain Mapping
/ methods
Cell Adhesion Molecules
/ genetics
Family
Female
Genome-Wide Association Study
Genotype
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Magnetoencephalography
/ statistics & numerical data
Male
Models, Neurological
Neuroimaging
/ methods
Polymorphism, Single Nucleotide
/ genetics
Bayesian reduced-rank regression
GWAS
genome-wide association
heritability
magnetoencephalography
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
received:
11
07
2018
revised:
27
09
2018
accepted:
19
10
2018
pubmed:
3
1
2019
medline:
9
4
2020
entrez:
3
1
2019
Statut:
ppublish
Résumé
Brain structure and many brain functions are known to be genetically controlled, but direct links between neuroimaging measures and their underlying cellular-level determinants remain largely undiscovered. Here, we adopt a novel computational method for examining potential similarities in high-dimensional brain imaging data between siblings. We examine oscillatory brain activity measured with magnetoencephalography (MEG) in 201 healthy siblings and apply Bayesian reduced-rank regression to extract a low-dimensional representation of familial features in the participants' spectral power structure. Our results show that the structure of the overall spectral power at 1-90 Hz is a highly conspicuous feature that not only relates siblings to each other but also has very high consistency within participants' own data, irrespective of the exact experimental state of the participant. The analysis is extended by seeking genetic associations for low-dimensional descriptions of the oscillatory brain activity. The observed variability in the MEG spectral power structure was associated with SDK1 (sidekick cell adhesion molecule 1) and suggestively with several other genes that function, for example, in brain development. The current results highlight the potential of sophisticated computational methods in combining molecular and neuroimaging levels for exploring brain functions, even for high-dimensional data limited to a few hundred participants.
Identifiants
pubmed: 30600573
doi: 10.1002/hbm.24454
pmc: PMC6590382
doi:
Substances chimiques
Cell Adhesion Molecules
0
SDK1 protein, human
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1391-1402Subventions
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 127401
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 255349
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 256459
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 277655
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 283071
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 292334
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 294238
Pays : International
Organisme : Academy of Finland: Finnish Center of Excellence in Computational Inference Research COIN
ID : 315553
Pays : International
Organisme : Biocentrum Helsinki
Pays : International
Organisme : Ella and Georg Ehrnrooth Foundation
Pays : International
Organisme : Finnish Cultural Foundation
Pays : International
Organisme : Jenny and Antti Wihuri Foundation
Pays : International
Organisme : Sigrid Jusélius Foundation, Swedish Research Council
Pays : International
Informations de copyright
© 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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