Evidence map›Paper›PMID 30918094›Full record

ArticleNeurology2019

Cognitive phenotypes in temporal lobe epilepsy are associated with distinct patterns of white matter network abnormalities.

Anny Reyes, Erik Kaestner, Naeim Bahrami, Akshara Balachandra, Manu Hegde, Brianna M Paul, Bruce Hermann, Carrie R McDonald

Open access · bronzeAbstract read
In one paragraph

Article in Neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 118 citations in OpenAlex.

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  5. Stronger pre-surgical functional connectivity networks are associated with improved surgical outcome in temporal lobe epilepsy.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
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  6. Review
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  8. Observational
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  10. The network neuropsychology of juvenile myoclonic epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Article
  11. Article
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  17. A user's guide for the International Classification of Cognitive Disorders in Epilepsy.Epileptic disorders : international epilepsy journal with videotape · 2024
    Review
  18. Article
  19. Article
  20. Article

8 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

8 authors at 4 institutions in 2 countries.

Anny ReyesFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Erik KaestnerFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Naeim BahramiFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Akshara BalachandraFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Manu HegdeFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Brianna M PaulFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Bruce HermannFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA.
Carrie R McDonaldFrom the San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology (A.R.); Center for Multimodal Imaging and Genetics (A.R., E.K., N.B., A.B., C.R.M.) and Department of Psychiatry (C.R.M.), University of California, San Diego; Department of Neurology (M.H., B.M.P.), University of California, San Francisco; UCSF Comprehensive Epilepsy Center (M.H., B.M.P.), San Francisco; Matthews Neuropsychology Section (B.H.), University of Wisconsin-Madison; and UCSD Comprehensive Epilepsy Center (C.R.M.), San Diego, CA. camcdonald@ucsd.edu.
University of California, San Diego · USUniversity of California, San Francisco · USEpilepsy Foundation · AUSan Diego State University · US

Funding

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
NINDS NIH HHS R01 NS065838
6 · The paper itself

Abstract

objectiveTo identify distinct cognitive phenotypes in temporal lobe epilepsy (TLE) and evaluate patterns of white matter (WM) network alterations associated with each phenotype.

methodsSeventy patients with TLE were characterized into 4 distinct cognitive phenotypes based on patterns of impairment in language and verbal memory measures (language and memory impaired, memory impaired only, language impaired only, no impairment). Diffusion tensor imaging was obtained in all patients and in 46 healthy controls (HC). Fractional anisotropy (FA) and mean diffusivity (MD) of the WM directly beneath neocortex (i.e., superficial WM [SWM]) and of deep WM tracts associated with memory and language were calculated for each phenotype. Regional and network-based SWM analyses were performed across phenotypes.

resultsThe language and memory impaired group and the memory impaired group showed distinct patterns of microstructural abnormalities in SWM relative to HC. In addition, the language and memory impaired group showed widespread alterations in WM tracts and altered global SWM network topology. Patients with isolated language impairment exhibited poor network structure within perisylvian cortex, despite relatively intact global SWM network structure, whereas patients with no impairment appeared similar to HC across all measures.

conclusionsThese findings demonstrate a differential pattern of WM microstructural abnormalities across distinct cognitive phenotypes in TLE that can be appreciated at both the regional and network levels. These findings not only help to unravel the underlying neurobiology associated with cognitive impairment in TLE, but they could also aid in establishing cognitive taxonomies or in the prediction of cognitive course in TLE.

Indexed as

AdultCognitionDiffusion Tensor ImagingEpilepsy, Temporal LobeFemaleHumansLanguageMagnetic Resonance ImagingMaleMemoryMiddle AgedNerve NetNeuropsychological TestsWhite MatterYoung Adult

Identifiers

PMID30918094
PMCPMC6511080
OpenAlexW2923926480

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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.