Effectiveness of Brainwave Synchronization in Alpha, Beta, and Theta Bands by Binaural Beats on Visuospatial Working Memory
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
View: 288
This Paper With 6 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_AJNPP-8-4_004
تاریخ نمایه سازی: 1 آبان 1400
Abstract:
Background and Objective: This study aimed to determine the effect of synchronization of brain waves in alpha, beta, and theta bands by the Binaural beats on visuospatial working memory.
Materials and Methods: The present quasi-experimental study was conducted based on a pretest-posttest control group design. In this regard, ۶۰ students were selected by the available sampling method and randomly divided into three experimental groups and one control group (n=۱۵ each). All subjects were assessed in the pre-test and post-test stages by the Corsi blocks tapping test. Participants in the experimental groups received ۱۵, ۹, ۵, and ۶ Hz binaural beats for ۱۲ min. The collected data were analyzed using a one-way analysis of covariance.
Results: The findings showed that ۱۵ Hz binaural beats (beta bands) significantly improved the subject's visuospatial working memory (P<۰.۰۵).
Conclusions: Given that working memory is the basis of numerous cognitive functions, using ۱۵ Hz binaural beats could improve the visuospatial working memory in these people
Keywords:
Authors
Ezzatollah Ahmadi
Associate Professor, Department of Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
Hassan Bafandeh Gharamaleki
Associate Professor, Department of Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
Siamak Dadashi
PhD student of Cognitive Neuroscience, Division of Cognitive Neuroscience, University of Tabriz
Habibollah Rasouli
MSc in Cognitive Science, Department of Psychology, Azarbaijan Shahid Madani University, Tabriz, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :