Abstract Details

Title Divergent 1/f and Power Spectral Features Distinguish Cognitive from Headache Phenotypes in Traumatic Brain Injury

Topic Epilepsy/Clinical Neurophysiology (EEG)

Presentation(s) P8 - Poster Session 8 (11:45 AM-12:45 PM)

Poster/Presentation
Number 10-008

Objective To investigate if cognitive and headache traumatic brain injury (TBI) phenotypes exhibit distinct quantitative EEG (qEEG) features.

Background TBI is associated with heterogeneous post-acute symptoms. COACH-CV classification characterizes 7 TBI clinical phenotypes based on patient-reported descriptions. We hypothesized that cognitive and headache phenotypes exhibit distinct qEEG features.

Design/Methods Thirteen sequential adults with TBI who underwent scalp EEGs were retrospectively analyzed. These patients comprised a sample of patients in our TBI program that obtained EEGs. Cognitive (n = 9) or headache (n = 4) phenotypes were based self-reported most disabling TBI-symptom. EEGs were preprocessed with independent component analysis to remove ocular and ECG artifacts, and band-pass filtered from 0.5 to 55 Hz using a finite impulse response filter. The remaining EEG was binned into 4-second epochs, and power spectral density (PSD) was calculated for each epoch with 25% overlap using Welch’s method. Regional relative power across each canonical frequency band was calculated at the sensor level. 1/f slope was also estimated by fitting a first-degree regression to log-power versus log-frequency between 0.5 and 30 Hz. Inter-group differences were assessed using the Wilcoxon rank sum test.

Results The cognitive phenotype exhibited a widespread increase in 1/f slope, reaching significance at T8 and Cz (p < 0.05) and showing trends toward significance at Fp1, Fp2, C4, P3, P4, F8, T6, Fz, and Pz (p < 0.10). Relative power analysis indicated elevated delta and theta power in the cognitive phenotype, particularly in bilateral temporal regions (p < 0.02), whereas the headache phenotype showed higher alpha and beta power.

Conclusions

EEG power spectral features differentiate TBI patients with cognitive and headache phenotypes. The skew towards lower frequencies in the cognitive phenotype resembles power spectral signatures commonly observed in mild cognitive impairment and Alzheimer's dementia. 1/f and relative power are potential biomarkers for TBI phenotypes that could help guide individualized management.

Authors/Disclosures
Joshua Abata, MD (UC Irvine) PRESENTER	Dr. Abata has nothing to disclose.
Maral Sakayan, MD (UCI Department of Neurology)	Dr. Sakayan has nothing to disclose.
Miranda Saathoff	Mrs. Saathoff has nothing to disclose.
Maria Thereza Paulino	Miss Paulino has nothing to disclose.
Amanda Fang, Undergraduate student	Miss Fang has nothing to disclose.
Stephania B. Tovar Vargas, MPH	Ms. Tovar Vargas has nothing to disclose.
Hayley Kristinsson, PsyD (University of California, Irvine, Department of Neurology)	Dr. Kristinsson has received personal compensation for serving as an employee of University of California Irvine.
Bernadette Boden-Albala, DrPH (University California Irvine)	Ms. Boden-Albala has received research support from NIH.
Mark Mapstone, PhD (University of California, Irvine)	Dr. Mapstone has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Brain Neurotherapy Bio, Inc. Dr. Mapstone has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Alzheon, Inc. Dr. Mapstone has received intellectual property interests from a discovery or technology relating to health care.
Jeff W. Chen, MD, PhD	The institution of Dr. Chen has received research support from Mitsubishi.
Michael Lopez, PhD	Michael Lopez has nothing to disclose.
Patrick M. Chen, MD (UC Irvine Medical Center)	Dr. Chen has nothing to disclose.
Brian Jung, MD	Dr. Jung has nothing to disclose.

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