Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations

Dynamic reconfigurations of the functional connectome across different connectivity states are highly heritable, predictive of cognitive abilities, and linked to mental health. Despite their established heritability, the specific polymorphisms that shape connectome dynamics are largely unknown. Given the widespread regulatory impact of modulatory neurotransmitters on functional connectivity, we comprehensively investigated a large set of single nucleotide polymorphisms (SNPs) of their receptors, metabolic enzymes, and transporters in 674 healthy adult subjects (347 females) from the Human Connectome Project. Preregistered modulatory neurotransmitter SNPs and dynamic connectome features entered a Stability Selection procedure with resampling. We found that specific subsets of these SNPs explain individual differences in temporal phenotypes of fMRI-derived connectome dynamics for which we previously established heritability. Specifically, noradrenergic polymorphisms explained Fractional Occupancy, i.e., the proportion of time spent in each connectome state, and cholinergic polymorphisms explained Transition Probability, i.e., the probability to transition between state pairs, respectively. This work identifies specific genetic effects on connectome dynamics via the regulatory impact of modulatory neurotransmitter systems. Our observations highlight the potential of dynamic connectome features as endophenotypes for neurotransmitter-focused precision psychiatry.

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Publication Details

Journal
Journal of Neuroscience
Published
2025-01-22
DOI
https://doi.org/10.1523/jneurosci.1939-24.2025
Citations
2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
2.86

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article

Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations

Suhnyoung Jun, Sepideh Sadaghiani, André Altmann
2 citations
Journal of Neuroscience
Functional Brain Connectivity Studies
2.86
article

Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations

Suhnyoung Jun, Sepideh Sadaghiani, André Altmann
article en
2 citations

Abstract

Dynamic reconfigurations of the functional connectome across different connectivity states are highly heritable, predictive of cognitive abilities, and linked to mental health. Despite their established heritability, the specific polymorphisms that shape connectome dynamics are largely unknown. Given the widespread regulatory impact of modulatory neurotransmitters on functional connectivity, we comprehensively investigated a large set of single nucleotide polymorphisms (SNPs) of their receptors, metabolic enzymes, and transporters in 674 healthy adult subjects (347 females) from the Human Connectome Project. Preregistered modulatory neurotransmitter SNPs and dynamic connectome features entered a Stability Selection procedure with resampling. We found that specific subsets of these SNPs explain individual differences in temporal phenotypes of fMRI-derived connectome dynamics for which we previously established heritability. Specifically, noradrenergic polymorphisms explained Fractional Occupancy, i.e., the proportion of time spent in each connectome state, and cholinergic polymorphisms explained Transition Probability, i.e., the probability to transition between state pairs, respectively. This work identifies specific genetic effects on connectome dynamics via the regulatory impact of modulatory neurotransmitter systems. Our observations highlight the potential of dynamic connectome features as endophenotypes for neurotransmitter-focused precision psychiatry.

Journal of NeuroscienceVol. 45(10)
University of Illinois Urbana-Champaign (US), University College London (GB)
National Institutes of Health, McDonnell Center for Systems Neuroscience
Good health and well-being
Openalex Percentile: Top 12%
Functional Brain Connectivity Studies
2.86
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Modulatory Neurotransmitter Genotypes Shape Dynamic Functional Connectome Reconfigurations — Suhnyoung Jun, Sepideh Sadaghiani, et al. · Journal of Neuroscience (2025) | TGRS Research Map | TGRS