한빛사논문
Tzu-Hao Harry Chao1,2,3†, Byeongwook Lee5†, Li-Ming Hsu1,2,3†, Domenic Hayden Cerri1,2,3, Wei-Ting Zhang1,2,3, Tzu-Wen Winnie Wang1,2, Srikanth Ryali5, Vinod Menon5,6,7*, Yen-Yu Ian Shih1,2,3,4*
1Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC,USA.
2Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
3Department of Neurology, University of North Carolinaat Chapel Hill, Chapel Hill, NC, USA.
4Department of Biomedical Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
5Department of Psy-chiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
6Department of Neurologyand Neurological Sciences, Stanford University, Stanford, CA, USA.
7Wu Tsai Neuroscience Institute, Stanford University, Stanford, CA, USA
†These authors contributed equally to this work.
*Corresponding authors: Vinod Menon, Yen-Yu Ian Shih
Abstract
The default mode network (DMN) is critical for self-referential mental processes, and its dysfunction is implicated in many neuropsychiatric disorders. However, the neurophysiological properties and task-based functional organization of the rodent DMN are poorly understood, limiting its translational utility. Here, we combine fiber photometry with functional magnetic resonance imaging (fMRI) and computational modeling to characterize dynamics of putative rat DMN nodes and their interactions with the anterior insular cortex (AI) of the salience network. Our analysis revealed neuronal activity changes in AI and DMN nodes preceding fMRI-derived DMN activations and cyclical transitions between brain network states. Furthermore, we demonstrate that salient oddball stimuli suppress the DMN and enhance AI neuronal activity and that the AI causally inhibits the retrosplenial cortex, a prominent DMN node. These findings elucidate the neurophysiological foundations of the rodent DMN, its spatiotemporal dynamical properties, and modulation by salient stimuli, paving the way for future translational studies.
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