Frequency-dependent genetic modulation of neuronal oscillations: a combined transcriptome and resting-state functional MRI study

Author:

Liu Siyu123,Zhang Cun123,Meng Chun14,Wang Rui123,Jiang Ping123,Cai Huanhuan123,Zhao Wenming123,Yu Yongqiang123ORCID,Zhu Jiajia123

Affiliation:

1. Department of Radiology , The First Affiliated Hospital of Anhui Medical University, Hefei 230022 , China

2. Research Center of Clinical Medical Imaging , Anhui Province, Hefei 230032 , China

3. Anhui Provincial Institute of Translational Medicine , Hefei 230032, China

4. Department of Radiology , Anhui No.2 Provincial People’s Hospital, Hefei 230041 , China

Abstract

Abstract Neuronal oscillations within certain frequency bands are assumed to associate with specific neural processes and cognitive functions. To examine this hypothesis, transcriptome-neuroimaging spatial correlation analysis was applied to resting-state functional magnetic resonance imaging data from 793 healthy individuals and gene expression data from the Allen Human Brain Atlas. We found that expression measures of 336 genes were correlated with fractional amplitude of low-frequency fluctuations (fALFF) in the slow-4 band (0.027–0.073 Hz), whereas there were no expression-fALFF correlations for the other frequency bands. Furthermore, functional enrichment analyses showed that these slow-4 fALFF-related genes were mainly enriched for ion channel, synaptic function, and neuronal system as well as many neuropsychiatric disorders. Specific expression analyses demonstrated that these genes were specifically expressed in brain tissue, in neurons, and during the late stage of cortical development. Concurrently, the fALFF-related genes were linked to multiple behavioral domains, including dementia, attention, and emotion. In addition, these genes could construct a protein–protein interaction network supported by 30 hub genes. Our findings of a frequency-dependent genetic modulation of spontaneous neuronal activity may support the concept that neuronal oscillations within different frequency bands capture distinct neurobiological processes from the perspective of underlying molecular mechanisms.

Funder

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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