Microscale electrophysiological functional connectivity in human cortico-basal ganglia network

Document Type

Article

Abstract

OBJECTIVE: We investigated the electrophysiological relationships in the cortico-basal ganglia network on a sub-centimeter scale to increase our understanding of neural functional relationships in Parkinson's disease (PD). METHODS: Data was intraoperatively recorded from 2 sources in the human brain-a microelectrode in the subthalamic nucleus (STN) and a micro-electrocorticography grid on the motor association cortex-during bilateral deep brain stimulation (DBS) electrode placement. STN neurons and local field potential (LFP) were defined as functionally connected when the 99.7% confidence intervals of the action potential (AP)-aligned average LFP and control did not overlap. RESULTS: APs from STN neurons were functionally connected to the STN LFP for 18/46 STN neurons. This functional connection was observed between STN neuron APs and cortical LFP for 25/46 STN neurons. The cortical patterns of electrophysiological functional connectivity differed for each neuron. CONCLUSIONS: A subset of single neurons in the STN exhibited functional connectivity with electrophysiological activity in the STN and at a distance with the motor association cortex surveyed on a sub-centimeter spatial scale. These connections show a per neuron differential topography on the cortex. SIGNIFICANCE: The cortico-basal ganglia circuit is organized on a sub-centimeter scale, and plays an important role in the mechanisms of PD and DBS.

Keywords

Cortex, Deep brain stimulation, Local field potential, Microcircuit, Parkinson’s disease, Subthalamic nucleus

Medical Subject Headings

Basal Ganglia; Deep Brain Stimulation; Humans; Motor Cortex; Parkinson Disease (therapy); Subthalamic Nucleus

Publication Date

10-1-2022

Publication Title

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology

E-ISSN

1872-8952

Volume

142

First Page

11

Last Page

19

PubMed ID

35930889

Digital Object Identifier (DOI)

10.1016/j.clinph.2022.06.017

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