FFT transformed quantitative EEG analysis of short term memory load

• Published in: Annals of Neurosciences Vol. 22; no. 3; pp. 176 - 179
• Main Authors: Singh, Yogesh, Singh, Jayvardhan, Sharma, Ratna, Talwar, Anjana
• Format: Journal Article
• Language: English
• Published: United States Annals of Neurosciences 01.07.2015; Indian Academy of Neurosciences
• Subjects: Memory; Short term memory; FFT; Quantitative EEG
• ISSN: 0972-7531; 0976-3260
• DOI: 10.5214/ans.0972.7531.220308

The EEG is considered as building block of functional signaling in the brain. The role of EEG oscillations in human information processing has been intensively investigated. To study the quantitative EEG correlates of short term memory load as assessed through Sternberg memory test. The study was conducted on 34 healthy male student volunteers. The intervention consisted of Sternberg memory test, which runs on a version of the Sternberg memory scanning paradigm software on a computer. Electroencephalography (EEG) was recorded from 19 scalp locations according to 10-20 international system of electrode placement. EEG signals were analyzed offline. To overcome the problems of fixed band system, individual alpha frequency (IAF) based frequency band selection method was adopted. The outcome measures were FFT transformed absolute powers in the six bands at 19 electrode positions. Sternberg memory test served as model of short term memory load. Correlation analysis of EEG during memory task was reflected as decreased absolute power in Upper alpha band in nearly all the electrode positions; increased power in Theta band at Fronto-Temporal region and Lower 1 alpha band at Fronto-Central region. Lower 2 alpha, Beta and Gamma band power remained unchanged. Short term memory load has distinct electroencephalographic correlates resembling the mentally stressed state. This is evident from decreased power in Upper alpha band (corresponding to Alpha band of traditional EEG system) which is representative band of relaxed mental state. Fronto-temporal Theta power changes may reflect the encoding and execution of memory task.