Classification of Pretrial vs. Encoding stage for Working Memory Task among Subjects with pFC Lesions and Healthy Controls using Directed Information

• Published in: Conference record - Asilomar Conference on Signals, Systems, & Computers pp. 1311 - 1315
• Main Authors: Balaji, Sai Sanjay, Avvaru, S.V. Sandeep, Parhi, Keshab K.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 31.10.2022
• Subjects: betweenness centrality; directed information (DI); effective connectivity; Encoding; Memory management; Mental disorders; Neurons; Phase measurement; prefrontal cortex (pFC); Robustness; Scalp; working memory task
• ISSN: 2576-2303
• DOI: 10.1109/IEEECONF56349.2022.10052005

This paper analyzes the scalp electroencephalogram (EEG) recorded from 14 human subjects with pFC lesions and 20 healthy controls while performing lateral visuospatial working memory tasks to identify the directional brain networks responsible for memory encoding. First, we show that effective connectivity features using directed information (DI) are more accurate and robust than the functional connectivity measure of correlation coefficients in classifying the memory encoding stage from the pretrial phase, with a mean accuracy of 99.36%. Second, we identify the functional segregation of memory encoding to a much smaller sub-network by showing that the top 2.5% of the observed DI features can distinguish memory encoding from the pretrial phase with a mean accuracy of 93.1%. Finally, using graph features, we reveal the increased significance of frontocentral, centroparietal, and temporal regions in memory encoding for subjects with pFC lesions and reduced information flow in the prefrontal, frontal and parietooccipital areas when compared to healthy control.