Functional network dynamics in a neurodevelopmental disorder of known genetic origin.
Hum Brain Mapp
; 41(2): 530-544, 2020 02 01.
Article
in En
| MEDLINE
| ID: mdl-31639257
ABSTRACT
Dynamic connectivity in functional brain networks is a fundamental aspect of cognitive development, but we have little understanding of the mechanisms driving variability in these networks. Genes are likely to influence the emergence of fast network connectivity via their regulation of neuronal processes, but novel methods to capture these rapid dynamics have rarely been used in genetic populations. The current study redressed this by investigating brain network dynamics in a neurodevelopmental disorder of known genetic origin, by comparing individuals with a ZDHHC9-associated intellectual disability to individuals with no known impairment. We characterised transient network dynamics using a Hidden Markov Model (HMM) on magnetoencephalography (MEG) data, at rest and during auditory oddball stimulation. The HMM is a data-driven method that captures rapid patterns of coordinated brain activity recurring over time. Resting-state network dynamics distinguished the groups, with ZDHHC9 participants showing longer state activation and, crucially, ZDHHC9 gene expression levels predicted the group differences in dynamic connectivity across networks. In contrast, network dynamics during auditory oddball stimulation did not show this association. We demonstrate a link between regional gene expression and brain network dynamics, and present the new application of a powerful method for understanding the neural mechanisms linking genetic variation to cognitive difficulties.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Acyltransferases
/
Magnetoencephalography
/
Gene Expression
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Cerebral Cortex
/
Connectome
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Intellectual Disability
/
Nerve Net
Type of study:
Health_economic_evaluation
/
Prognostic_studies
Limits:
Adolescent
/
Adult
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Humans
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Male
Language:
En
Journal:
Hum Brain Mapp
Journal subject:
CEREBRO
Year:
2020
Document type:
Article
Affiliation country:
United kingdom
Publication country:
EEUU
/
ESTADOS UNIDOS
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ESTADOS UNIDOS DA AMERICA
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EUA
/
UNITED STATES
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UNITED STATES OF AMERICA
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US
/
USA