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Abstract #1255

Delayed layer-specific CBV fMRI response is driven by somatostatin neuron-astrocyte-vasodilation pathway

Thanh Tan Vo1,2, Won Beom Jung3, Tong Jin1,2,4, Geun Ho Im1, Soohyun Lee5, and Seong-Gi Kim1,2
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon 16419, Rep, Suwon, Korea, Republic of, 2Department of Biomedical Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea, Suwon, Korea, Republic of, 3Emotion, Cognition & Behavior Research Group, Korean Brain Research Institute (KBRI), Daegu, 41062, Korea, Daegu, Korea, Republic of, 4Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Korea, Suwon, Korea, Republic of, 5Unit on Functional Neural Circuits, Systems Neurodevelopment Laboratory, National Institutes of Health, Bethesda, MD 20892, USA, Bethesda, MD, United States

Synopsis

Keywords: Mesoscale: columns and layers, High-Field MRI, somatostatin interneurons; astrocyte; neurovascular coupling; chemogenetic inhibition; layer MRI.

Motivation: In human cognitive neuroimaging, layer-dependent CBV fMRI has increasingly been used to investigate neural circuits. A key question remains: what is the biological source of fMRI specificity at the laminar level?

Goal(s): To evaluate the role of inhibitory somatostatin interneurons (SST) to hemodynamic responses and layer-specific CBV fMRI of forepaw stimulation.

Approach: In this study, we used a multi-disciplinary approach that includes wide-field intrinsic optical imaging, calcium imaging, and layer-dependent fMRI with chemo-genetic or pharmacological interventions

Results: Our findings suggest that SST interneuron activity is a crucial factor for the late, specific CBV-fMRI responses mediated by astrocytes.

Impact: Our findings have significant implications for the neurovascular coupling field by revealing a novel contribution of interneurons and astrocytes. They also offer important insights for human fMRI, the interpretation of laminar-specific fMRI data and the design of laminar-specific fMRI paradigms.

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Keywords