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Causal Cortical and Thalamic Connections in the Human Brain.
Lyu, Dian; Stiger, James; Lusk, Zoe; Buch, Vivek; Parvizi, Josef.
Affiliation
  • Lyu D; Laboratory of Behavioral and Cognitive Neuroscience, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California USA.
  • Stiger J; Laboratory of Behavioral and Cognitive Neuroscience, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California USA.
  • Lusk Z; Laboratory of Behavioral and Cognitive Neuroscience, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California USA.
  • Buch V; Department of Neurosurgery, Stanford University School of Medicine, Stanford, California USA.
  • Parvizi J; Laboratory of Behavioral and Cognitive Neuroscience, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California USA.
bioRxiv ; 2024 Jun 27.
Article de En | MEDLINE | ID: mdl-38979261
ABSTRACT
The brain's functional architecture is intricately shaped by causal connections between its cortical and subcortical structures. Here, we studied 27 participants with 4864 electrodes implanted across the anterior, mediodorsal, and pulvinar thalamic regions, and the cortex. Using data from electrical stimulation procedures and a data-driven approach informed by neurophysiological standards, we dissociated three unique spectral patterns generated by the perturbation of a given brain area. Among these, a novel waveform emerged, marked by delayed-onset slow oscillations in both ipsilateral and contralateral cortices following thalamic stimulations, suggesting a mechanism by which a thalamic site can influence bilateral cortical activity. Moreover, cortical stimulations evoked earlier signals in the thalamus than in other connected cortical areas suggesting that the thalamus receives a copy of signals before they are exchanged across the cortex. Our causal connectivity data can be used to inform biologically-inspired computational models of the functional architecture of the brain.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2024 Type de document: Article Pays de publication: États-Unis d'Amérique