Beyond excitatory neurons: How inhibitory neurons and astrocytes shape fMRI spatiotemporal dynamics

fMRI signals arise from interactions among multiple cell types, complicating their interpretation. While excitatory neurons are often considered primary drivers, inhibitory neurons and astrocytes also modulate hemodynamic responses but remain less explored. We show that somatostatin-expressing (SST) inhibitory neurons generate delayed fMRI signals via an SST-astrocyte pathway. These responses were slower, broader, and localized to cortical input layers, providing a cellular basis for laminar-specific fMRI. Our findings reveal a critical role for inhibitory neurons and astrocytes in shaping fMRI dynamics and emphasize the need for a network-level framework to interpret high-resolution fMRI.

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Publication Details

Journal
Journal of Cerebral Blood Flow & Metabolism
Published
2026-02-16
DOI
https://doi.org/10.1177/0271678x261417892
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond excitatory neurons: How inhibitory neurons and astrocytes shape fMRI spatiotemporal dynamics

Seong-Gi Kim, Thanh Tan Vo
Journal of Cerebral Blood Flow & Metabolism
Neural dynamics and brain function
article

Beyond excitatory neurons: How inhibitory neurons and astrocytes shape fMRI spatiotemporal dynamics

Seong-Gi Kim, Thanh Tan Vo
article en

Abstract

fMRI signals arise from interactions among multiple cell types, complicating their interpretation. While excitatory neurons are often considered primary drivers, inhibitory neurons and astrocytes also modulate hemodynamic responses but remain less explored. We show that somatostatin-expressing (SST) inhibitory neurons generate delayed fMRI signals via an SST-astrocyte pathway. These responses were slower, broader, and localized to cortical input layers, providing a cellular basis for laminar-specific fMRI. Our findings reveal a critical role for inhibitory neurons and astrocytes in shaping fMRI dynamics and emphasize the need for a network-level framework to interpret high-resolution fMRI.

Journal of Cerebral Blood Flow & Metabolism
Institute for Basic Science (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 55%
Neural dynamics and brain function
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