Network, clinical and sociodemographic features of cognitive phenotypes in temporal lobe epilepsy.


Journal

NeuroImage. Clinical
ISSN: 2213-1582
Titre abrégé: Neuroimage Clin
Pays: Netherlands
ID NLM: 101597070

Informations de publication

Date de publication:
2020
Historique:
received: 31 12 2019
revised: 10 06 2020
accepted: 03 07 2020
pubmed: 25 7 2020
medline: 29 6 2021
entrez: 25 7 2020
Statut: ppublish

Résumé

This study explored the taxonomy of cognitive impairment within temporal lobe epilepsy and characterized the sociodemographic, clinical and neurobiological correlates of identified cognitive phenotypes. 111 temporal lobe epilepsy patients and 83 controls (mean ages 33 and 39, 57% and 61% female, respectively) from the Epilepsy Connectome Project underwent neuropsychological assessment, clinical interview, and high resolution 3T structural and resting-state functional MRI. A comprehensive neuropsychological test battery was reduced to core cognitive domains (language, memory, executive, visuospatial, motor speed) which were then subjected to cluster analysis. The resulting cognitive subgroups were compared in regard to sociodemographic and clinical epilepsy characteristics as well as variations in brain structure and functional connectivity. Three cognitive subgroups were identified (intact, language/memory/executive function impairment, generalized impairment) which differed significantly, in a systematic fashion, across multiple features. The generalized impairment group was characterized by an earlier age at medication initiation (P < 0.05), fewer patient (P < 0.001) and parental years of education (P < 0.05), greater racial diversity (P < 0.05), and greater number of lifetime generalized seizures (P < 0.001). The three groups also differed in an orderly manner across total intracranial (P < 0.001) and bilateral cerebellar cortex volumes (P < 0.01), and rate of bilateral hippocampal atrophy (P < 0.014), but minimally in regional measures of cortical volume or thickness. In contrast, large-scale patterns of cortical-subcortical covariance networks revealed significant differences across groups in global and local measures of community structure and distribution of hubs. Resting-state fMRI revealed stepwise anomalies as a function of cluster membership, with the most abnormal patterns of connectivity evident in the generalized impairment group and no significant differences from controls in the cognitively intact group. Overall, the distinct underlying cognitive phenotypes of temporal lobe epilepsy harbor systematic relationships with clinical, sociodemographic and neuroimaging correlates. Cognitive phenotype variations in patient and familial education and ethnicity, with linked variations in total intracranial volume, raise the question of an early and persisting socioeconomic-status related neurodevelopmental impact, with additional contributions of clinical epilepsy factors (e.g., lifetime generalized seizures). The neuroimaging features of cognitive phenotype membership are most notable for disrupted large scale cortical-subcortical networks and patterns of functional connectivity with bilateral hippocampal and cerebellar atrophy. The cognitive taxonomy of temporal lobe epilepsy appears influenced by features that reflect the combined influence of socioeconomic, neurodevelopmental and neurobiological risk factors.

Identifiants

pubmed: 32707534
pii: S2213-1582(20)30178-9
doi: 10.1016/j.nicl.2020.102341
pmc: PMC7381697
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

102341

Subventions

Organisme : NINDS NIH HHS
ID : U01 NS093650
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS111022
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA009206
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH018931
Pays : United States
Organisme : NINDS NIH HHS
ID : F31 NS111883
Pays : United States

Informations de copyright

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Bruce Hermann (B)

Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Electronic address: hermann@neurology.wisc.edu.

Lisa L Conant (LL)

Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Cole J Cook (CJ)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Gyujoon Hwang (G)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Camille Garcia-Ramos (C)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Kevin Dabbs (K)

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

Veena A Nair (VA)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Jedidiah Mathis (J)

Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA.

Charlene N Rivera Bonet (CNR)

Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Linda Allen (L)

Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Dace N Almane (DN)

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

Karina Arkush (K)

Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.

Rasmus Birn (R)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Edgar A DeYoe (EA)

Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.

Elizabeth Felton (E)

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

Rama Maganti (R)

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

Andrew Nencka (A)

Department of Radiology Froedtert & Medical College of Wisconsin, Milwaukee, WI, USA.

Manoj Raghavan (M)

Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Umang Shah (U)

Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.

Veronica N Sosa (VN)

Neuroscience Innovation Institute, Aurora St. Luke's Medical Center, Milwaukee, WI, USA.

Aaron F Struck (AF)

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

Candida Ustine (C)

Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.

Anny Reyes (A)

Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.

Erik Kaestner (E)

Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.

Carrie McDonald (C)

Department of Psychiatry, University of California-San Diego, La Jolla, CA, USA.

Vivek Prabhakaran (V)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Jeffrey R Binder (JR)

Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA; Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, USA.

Mary E Meyerand (ME)

Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA; Neuroscience Training Program, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

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