Principal Investigator

study rationale

Semantic memory, essential for conceptual knowledge, is theorized to involve a distributed neural network with the anterior temporal lobes (ATLs) acting as a central hub. Temporal lobe epilepsy (TLE) often necessitates ATL resection, which may disrupt this network. This study aims to leverage magnetoencephalography (MEG) and stereoelectroencephalography (SEEG) to understand the role of ATLs in semantic memory and the impact of surgical resection in TLE patients.

hypothesis

1. Semantic memory involves a distributed network with the ATL serving as a transmodal hub.
2. Electrophysiological activity in the ATL correlates with successful semantic memory retrieval.
3. Resection of the ATL in TLE patients alters neural connectivity, increasing the reliance on contralesional ATL for semantic processing.

study design

• Aim 1: Identify brain activation areas during semantic cognition using MEG in TLE patients performing a forced-choice judgment task.
• Aim 2: Characterize ATL electrophysiological activity during semantic tasks using SEEG recordings in TLE patients.
• Aim 3: Assess the impact of ATL resection on semantic memory by comparing pre- and post-surgical MEG data and task performance.

impact

This research will advance understanding of the neural organization of semantic memory, particularly in TLE patients undergoing ATL resection. Insights could inform surgical planning and post-operative care to mitigate cognitive deficits. Additionally, findings may contribute to broader theoretical models of semantic memory and its network topology.

next steps for development

The data will support applications for NIH funding, including opportunities under the BRAIN Initiative. Future research could refine treatments for epilepsy while expanding knowledge of cognitive processes linked to semantic memory.

additional information

The total budget includes MEG scanner time for 12 sessions and funding for a doctoral student. Participants will undergo MEG and SEEG assessments pre- and post-surgery to evaluate semantic memory retrieval and neural connectivity changes.

collaboration

The project involves a multidisciplinary team:

• Dr. Aysegul Gunduz (Biomedical Engineering): Project supervision and data analysis.
• Dr. Giridhar Kalamangalam (Neurology): Patient recruitment and identification of epileptogenic zones.
• Dr. Abbas Babajani (MEG Lab Director): Oversight of MEG cognitive tasks and data analysis.
• Dr. Erika Cascio (Clinical Neuropsychology): Conducts neuropsychological assessments.