Brain complexity analysis of functional near infrared spectroscopy for working memory study

Conference proceedings article

ผู้เขียน/บรรณาธิการ

กลุ่มสาขาการวิจัยเชิงกลยุทธ์

ไม่พบข้อมูลที่เกี่ยวข้อง

รายละเอียดสำหรับงานพิมพ์

รายชื่อผู้แต่ง: Angsuwatanakul T., Iramina K., Kaewkamnerdpong B.

ผู้เผยแพร่: Hindawi

ปีที่เผยแพร่ (ค.ศ.): 2016

ISBN: 9781467391580

นอก: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969204365&doi=10.1109%2fBMEiCON.2015.7399531&partnerID=40&md5=9b8e419ece20d17dbfab2dbc7a6cb410

ภาษา: English-Great Britain (EN-GB)

ดูบนเว็บไซต์ของสำนักพิมพ์

บทคัดย่อ

Working memory is an important brain function for memorizing information in everyday life. This study proposed an alternative approach for analyzing visual working memory based on brain complexity to identify brain state condition for memorizing new scenes. Multi-scale entropy (MSE) was used for analyzing the complexity of function Near Infrared Spectroscopy (fNIRS) data measuring the hemodynamic response of brain during a cognitive experiment. The results revealed the distinctive entropy between remembered and forgotten cases in premotor cortex area at FC3 position. The entropy of remembered case is higher than that of forgotten case; this could indicate that the brain requires more activity and, then, more hemodynamic responses for good memorizing. Hence, the results indicated the potential of using the complexity of fNIRS for characterizing the brain state for working memory. ฉ 2015 IEEE.

คำสำคัญ

brain complexity, functional near infrared spectroscopy (fNIRS), multi-scale entropy (MSE)