Evidence map›Paper›PMID 34552218›Full record

ReviewNature reviews. Neurology2021

Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy.

Bruce P Hermann, Aaron F Struck, Robyn M Busch, Anny Reyes, Erik Kaestner, Carrie R McDonald

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 1 pooled it
16.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.

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  19. Comorbidity Disease Pattern in Japanese Elderly Population: A Network-Based Analysis.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
    Article
  20. Article

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Bruce P HermannDepartment of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. hermann@neurology.wisc.edu.
Aaron F StruckDepartment of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.ORCID http://orcid.org/0000-0002-9103-1798
Robyn M BuschEpilepsy Center and Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA.
Anny ReyesDepartment of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA.
Erik KaestnerDepartment of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA.
Carrie R McDonaldDepartment of Psychiatry and Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, CA, USA.
University of California San Diego · USUniversity of Wisconsin–Madison · USCleveland Clinic · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Fellowship on Biological Psychiatry and NeuroscienceT32MH018399 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Pei-an (Betty) Shih · 1986 to 2026
$7.3M
Multimodal Imaging of Language in the Preoperative Evaluation of EpilepsyR01NS065838 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCDONALD, CARRIE R · 2010 to 2018
$4.4M
BRain Aging and Cognition in Epilepsy (BRACE): A longitudinal investigationof vascular, genetic, and biomarker risk profiles in elderly patients with epilepsyR01NS120976 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARRIE R MCDONALD · 2021 to 2026
$4.1M
A Nomogram to Predict Seizure Outcomes After Resective Epilepsy SurgeryR01NS097719 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI JEHI, LARA · 2017 to 2021
$3.6M
The Juvenile Myoclonic Epilepsy Connectome ProjectR01NS111022 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI STRUCK, AARON F · 2020 to 2024
$3.1M
Multimodal imaging of memory reorganization in epilepsy from whole brain networks to local neuronal responses: Implications for surgical-decision-makingR56NS065838 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCDONALD, CARRIE R · 2020 to 2020
$467k
Prediction of seizure lateralization and postoperative outcome through the use of deep learning applied to multi-site MRI/DTI data: An ENIGMA-Epilepsy studyR21NS107739 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONILHA, LEONARDO F, MCDONALD, CARRIE R · 2019 to 2019
$444k
Explaining cognitive heterogeneity in temporal lobe epilepsy (TLE): Identifying unique imaging features, health-related risk factors and protective factors in TLE subtypesF31NS111883 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI REYES, ANNY · 2019 to 2021
$89k
NCATS NIH HHS KL2 TR000440NCATS NIH HHS UL1 TR002548NIMH NIH HHS T32 MH018399NINDS NIH HHS F31 NS111883NINDS NIH HHS F31 NS111883-01NINDS NIH HHS R01 NS065838NINDS NIH HHS R01 NS097719NINDS NIH HHS R01 NS111022NINDS NIH HHS R01 NS120976NINDS NIH HHS R21 NS107739NINDS NIH HHS R56 NS065838
6 · The paper itself

Abstract

Cognitive and behavioural comorbidities are prevalent in childhood and adult epilepsies and impose a substantial human and economic burden. Over the past century, the classic approach to understanding the aetiology and course of these comorbidities has been through the prism of the medical taxonomy of epilepsy, including its causes, course, characteristics and syndromes. Although this 'lesion model' has long served as the organizing paradigm for the field, substantial challenges to this model have accumulated from diverse sources, including neuroimaging, neuropathology, neuropsychology and network science. Advances in patient stratification and phenotyping point towards a new taxonomy for the cognitive and behavioural comorbidities of epilepsy, which reflects the heterogeneity of their clinical presentation and raises the possibility of a precision medicine approach. As we discuss in this Review, these advances are informing the development of a revised aetiological paradigm that incorporates sophisticated neurobiological measures, genomics, comorbid disease, diversity and adversity, and resilience factors. We describe modifiable risk factors that could guide early identification, treatment and, ultimately, prevention of cognitive and broader neurobehavioural comorbidities in epilepsy and propose a road map to guide future research.

Indexed as

AnimalsClassificationComorbidityEpilepsyHumansMental DisordersNervous System DiseasesPrecision Medicine

Identifiers

PMID34552218
PMCPMC8900353
OpenAlexW3200322762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.