Frequency-dependent genetic modulation of neuronal oscillations: a combined transcriptome and resting-state functional MRI study. (1st February 2022)

• Record Type: Journal Article
• Authors: Liu, Siyu; Zhang, Cun; Meng, Chun; Wang, Rui; Jiang, Ping; Cai, Huanhuan; Zhao, Wenming; Yu, Yongqiang; Zhu, Jiajia
• Is Part Of: Cerebral cortex. Volume 32:Number 22(2022)
• Page Start: 5132
• Page End: 5144
• Publication Date: 2022-02-01
• Subjects: Allen Human Brain Atlas -- gene expression -- fractional amplitude of low-frequency fluctuations -- frequency bands -- resting-state functional MRI; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhac003
• Languages: English
• ISSNs: 1047-3211

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.