Beta-Band power modulation in the human amygdala differentiates between go/no-go responses in an arm reaching task.

Amygdala Arm-reaching movements (ARMs) Beta-band power Center-out task Neural modulation Stereotactic electroencephalography (SEEG)

Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
03 Jul 2024
Historique:
medline: 4 7 2024
pubmed: 4 7 2024
entrez: 3 7 2024
Statut: aheadofprint

Résumé

Introduction
Traditionally known for its involvement in emotional processing, the amygdala's involvement in motor control remains relatively unexplored, with sparse investigation into the neural mechanisms governing amygdaloid motor movement and inhibition.

Objective
This study aimed to characterize the amygdaloid beta-band (13-30 Hz) power between "Go" and "No-go" trials of an arm reaching task.

Methods
Ten participants with drug-resistant epilepsy implanted with stereoelectroencephalographic (SEEG) electrodes in the amygdala were enrolled in this study. SEEG data was recorded throughout discrete phases of a Direct Reach Go/No-go task, during which participants reached a touchscreen monitor or withheld movement based on a colored cue. Multitaper power analysis along with Wilcoxon signed-rank and Yates-corrected Z tests were used to assess significant modulations of beta power between the Response and Fixation (baseline) phases in the "Go" and "No-go" conditions.

Results
In the "Go" condition, nine out of the ten participants showed a significant decrease in relative beta-band power during the Response phase (p ≤ 0.0499). In the "No-go" condition, eight out of the ten participants presented a statistically significant increase in relative beta-band power during the Response phase (p ≤ 0.0494). Four out of the eight participants with electrodes in the contralateral hemisphere and seven out of the eight participants with electrodes in the ipsilateral hemisphere presented significant modulation in beta-band power in both the "Go" and "No-go" conditions. At the group level, no significant differences were found between the contralateral and ipsilateral sides or between genders.

Conclusion
This study reports beta-band power modulation in the human amygdala during voluntary movement in the setting of motor execution and inhibition. This finding supplements prior research in various brain regions associating beta-band power with motor control. The distinct beta-power modulation observed between these response conditions suggests involvement of amygdaloid oscillations in differentiating between motor inhibition and execution.

Identifiants

pubmed: 38959877
doi: 10.1088/1741-2552/ad5ebe
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 IOP Publishing Ltd.

Auteurs

Ryan S Chung (RS)

Department of Neurological Surgery, University of Southern California, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Roberto Martin Del Campo-Vera (R)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Shivani Sundaram (S)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Jonathon Cavaleri (J)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Suite 3300, Los Angeles, California, 90033, UNITED STATES.

Zachary D Gilbert (ZD)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Andrea Leonor (A)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Arthur Shao (A)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Selena Zhang (S)

University of Southern California Viterbi School of Engineering, 1200 N State St, Suite 3300, Los Angeles, California, 90033, UNITED STATES.

Alexandra Kammen (A)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Suite 3300, Los Angeles, California, 90033, UNITED STATES.

Xenos Mason (X)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Suite 3300, Los Angeles, California, 90033, UNITED STATES.

Christi Heck (C)

Department of Neurology, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Charles Y Liu (CY)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Spencer S Kellis (SS)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Suite 3300, Los Angeles, California, 90033, UNITED STATES.

Brian Lee (B)

Department of Neurological Surgery, University of Southern California Keck School of Medicine, 1200 N State St, Los Angeles, California, 90033, UNITED STATES.

Classifications MeSH