Functional Near-Infrared Spectroscopy Reveals Functional Rewiring between Macaque Motor Areas Following Postinfarction Recovery of Manual Dexterity

J Jun-ichiro Hirayama T Toru Yamada H Hiroshi Kawaguchi (10Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan) N Noriyuki Higo N Narihisa Matsumoto

Abstract

Poststroke motor recovery relies on the functional reorganization of motor-related cortical areas to compensate for damaged neural circuitry related to motor functions. Functional near-infrared spectroscopy (fNIRS) offers a promising method for monitoring cortical reorganization during rehabilitation, although its feasibility has not yet been fully established. We developed a high-density fNIRS system for measuring cortical activity in macaques and validated its effectiveness in assessing changes in directed functional connectivity (dFC) among motor cortical areas in response to functional recovery from brain damage. Data were previously collected from two female Japanese macaque monkeys ( Macaca fuscata ) before focal infarcts occurred in the posterior limb of the internal capsule and following the confirmed recovery of hand movements through rehabilitation training. In the present study, time-varying conditional Granger causality during either unaffected- or affected-hand movement was evaluated among several motor areas, and the changes resulting from functional impairment and subsequent recovery were analyzed. Changes in channel-level dFC around the ventral premotor areas were examined in detail for their relevance to motor recovery. The analysis revealed network changes involving multiple motor-related cortical regions. In the monkey with a small infarct, connectivity changes primarily occurred within the ipsilesional hemisphere, whereas in the monkey with a larger infarct, both contralesional and interhemispheric connectivity change was observed. These results align with the findings obtained from high-spatial-resolution brain measurements in patients and animal models following brain damage. They suggest that functional connectivity analysis using fNIRS is effective for monitoring the brain’s functional changes underlying motor recovery.

Article Details

Volume / Issue Vol. 46, Issue 4
Published January 28, 2026
Pages e1400252025
ISSN 0270-6474
Publisher Society for Neuroscience

Journal Info

Journal of Neuroscience

Society for Neuroscience

ISSN: 0270-6474 Life Sciences

Authors (5)

J

Jun-ichiro Hirayama

T

Toru Yamada

H

Hiroshi Kawaguchi

10Department of Pediatrics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

N

Noriyuki Higo

N

Narihisa Matsumoto