Abstracts

Vigilance-related Alterations in the Functional Connectivity of Arousal and Autonomic Structures

Abstract number : 3.267
Submission category : 5. Neuro Imaging / 5B. Functional Imaging
Year : 2022
Submission ID : 2205145
Source : www.aesnet.org
Presentation date : 12/5/2022 12:00:00 PM
Published date : Nov 22, 2022, 05:28 AM

Authors :
Haatef Pourmotabbed, MS – Vanderbilt University; Caroline Martin, BS – Vanderbilt University; Sarah Goodale, BS – Vanderbilt University; Jasmine Jiang, BS – Vanderbilt University Medical Center; Graham Johnson, BS – Vanderbilt University; Derek Doss, BS – Vanderbilt University; Hakmook Kang, PhD – Vanderbilt University; Victoria Morgan, PhD – Vanderbilt University Medical Center; Dario Englot, MD, PhD – Vanderbilt University Medical Center; Catie Chang, PhD – Vanderbilt University

Rationale: Temporal lobe epilepsy (TLE) is characterized by widespread connectivity alterations and neurocognitive deficits related to vigilance that are seemingly unexplained by temporal lobe dysfunction. Prior studies have shown reduced structural and functional connectivity (FC) of arousal structures (brainstem, thalamus, basal forebrain) in TLE associated with disease severity. However, alterations in the FC of arousal structures in different vigilance states has not been examined. The purpose of this study was to investigate vigilance-related FC alterations of brainstem and basal forebrain structures in healthy controls and to examine vigilance-related FC differences between controls and TLE patients.

Methods: Twenty-minute resting-state sessions of EEG-fMRI (multi-echo EPI) were collected from 27 controls (34.3 ± 15.4 years; 14 females; 43 sessions) and 9 TLE patients (44.4 ± 13.8 years; 3 females; 16 sessions; 7 left, 2 bilateral). Regions-of-interest (ROIs) were defined with the Schaeffer cortical (200 ROIs; 17 networks), Melbourne subcortical (32 ROIs), Ascending Arousal Network (9 brainstem ROIs), and JuBrain (4 basal forebrain ROIs) atlases. Vigilance Algorithm Leipzig (VIGALL) software was used to identify alert and drowsy epochs from the EEG data. Alert states were present in 17 controls and 2 patients. Drowsy states were present in 22 controls and 9 patients. For each epoch, correlation of brainstem and basal forebrain ROIs to whole-brain voxels and cortical and subcortical ROIs was computed. Mixed-effect models covarying for epoch duration were fit to test for FC alterations between alert and drowsy in controls and between controls and patients in the drowsy state.

Results: The locus coeruleus (LC), cuneiform/subcuneiform nucleus (CSC), parabrachial nuclear complex (PBC), and right diagonal band of Broca and septal nuclei (BF123) had the greatest FC alterations (p < 0.05, FDR-corrected) between alert and drowsy (Figure 1
Neuro Imaging