Characterizing white matter connectome abnormalities in patients with temporal lobe epilepsy using threshold‐free network‐based statistics

Author:

Chu Daniel Y12ORCID,Imhoff‐Smith Theodore P1ORCID,Nair Veena A1,Choi Timothy1,Adluru Anusha1,Garcia‐Ramos Camille23ORCID,Dabbs Kevin2,Mathis Jedidiah4,Nencka Andrew S5,Conant Lisa4,Binder Jeffrey R4,Meyerand Mary E3,Alexander Andrew L6,Struck Aaron F27,Hermann Bruce2,Prabhakaran Vivek1248,Adluru Nagesh16

Affiliation:

1. Department of Radiology University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA

2. Department of Neurology University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA

3. Department of Medical Physics University of Wisconsin Madison Madison Wisconsin USA

4. Department of Neurology Medical College of Wisconsin Milwaukee Wisconsin USA

5. Department of Radiology Medical College of Wisconsin Milwaukee Wisconsin USA

6. Waisman Center University of Wisconsin Madison Madison Wisconsin USA

7. Department of Neurology William S. Middleton Veterans Hospital Madison Wisconsin USA

8. Department of Psychiatry University of Wisconsin School of Medicine and Public Health Madison Wisconsin USA

Abstract

AbstractIntroductionEmerging evidence illustrates that temporal lobe epilepsy (TLE) involves network disruptions represented by hyperexcitability and other seizure‐related neural plasticity. However, these associations are not well‐characterized. Our study characterizes the whole brain white matter connectome abnormalities in TLE patients compared to healthy controls (HCs) from the prospective Epilepsy Connectome Project study. Furthermore, we assessed whether aberrant white matter connections are differentially related to cognitive impairment and a history of focal‐to‐bilateral tonic–clonic (FBTC) seizures.MethodsMulti‐shell connectome MRI data were preprocessed using the DESIGNER guidelines. The IIT Destrieux gray matter atlas was used to derive the 162 × 162 structural connectivity matrices (SCMs) using MRTrix3. ComBat data harmonization was applied to harmonize the SCMs from pre‐ and post‐scanner upgrade acquisitions. Threshold‐free network‐based statistics were used for statistical analysis of the harmonized SCMs. Cognitive impairment status and FBTC seizure status were then correlated with these findings.ResultsWe employed connectome measurements from 142 subjects, including 92 patients with TLE (36 males, mean age = 40.1 ± 11.7 years) and 50 HCs (25 males, mean age = 32.6 ± 10.2 years). Our analysis revealed overall significant decreases in cross‐sectional area (CSA) of the white matter tract in TLE group compared to controls, indicating decreased white matter tract integrity and connectivity abnormalities in addition to apparent differences in graph theoretic measures of connectivity and network‐based statistics. Focal and generalized cognitive impaired TLE patients showcased higher trend‐level abnormalities in the white matter connectome via decreased CSA than those with no cognitive impairment. Patients with a positive FBTC seizure history also showed trend‐level findings of association via decreased CSA.ConclusionsWidespread global aberrant white matter connectome changes were observed in TLE patients and characterized by seizure history and cognitive impairment, laying a foundation for future studies to expand on and validate the novel biomarkers and further elucidate TLE's impact on brain plasticity.

Funder

American Epilepsy Society

National Institutes of Health

Publisher

Wiley

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