Stimulation of Laughter‐involved Brain Networks for Alleviating Mood Disorders (66441)

Session Information:

Friday, 31 March 2023 15:45
Session: Poster
Room: Orion Hall
Presentation Type:Poster Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The practicality of the idea of whether the laughter‐involved large‐scale brain networks can be stimulated to remediate affective symptoms, namely depression, has remained elusive. In this study, healthy individuals were tested through quantitative electroencephalography (qEEG) setup upon resting state and while submitted to standardized funny video clips. We evaluated the individuals’ facial expressions against the valence and intensity of each stimulus through the Nuldos face analysis software. The study also employed an eye‐tracking setup to examine fixations, gaze, and saccadic movements upon each task. In addition, changes in polygraphic parameters were monitored upon resting state and exposure to clips using the 4‐channel Nexus polygraphy setup. The happy facial expression analysis, as a function of rated funny clips, showed a significant difference against neutral videos. In terms of the polygraphic changes, heart rate variability and the trapezius muscle surface electromyography measures were significantly higher upon exposure to funny vs. neutral videos. The average pupil size and fixation drifts were significantly higher and lower, respectively, upon exposure to funny videos. The qEEG data revealed the highest current source density (CSD) for the alpha frequency band localized in the left frontotemporal network (FTN) upon exposure to funny clips. Additionally, left FTN acquired the highest value for theta coherence z‐score, while the beta CSD predominantly fell upon the salience network (SN). These preliminary data support the notion that left FTN may be targeted as a cortical hub for noninvasive neuromodulation as a single or adjunct therapy in remediating affective disorders in the clinical setting.

Shahaboddin Zarei, Excellence in Brain Science and Intelligence Technology (Institute of Neuroscience), CAS, Shanghai., China
Seyedeh-Saeedeh Yahyavi, Shiraz University of Medical Sciences, Iran
Iman Salehi, Iranian Neuroscience Society, Iran
Milad Kazemiha, Shiraz University of Medical Sciences, Iran
Ali-Mohammad Kamali, Shiraz University of Medical Sciences, Iran
Mohammad Nami, Harvard Alumni for Mental Health, Middle-east Ambassador, United Arab Emirates

About the Presenter(s)
Dr Shahaboddin Zarei is a University Postdoctoral Fellow or Instructor at Excellence in Brain Science and Intelligence Technology (Institute of Neuroscience), CAS, Shanghai. in China

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00