Evidence map›Paper›PMID 31020649›Full record

ArticleEpilepsia2019

Differential sensitivity of structural, diffusion, and resting-state functional MRI for detecting brain alterations and verbal memory impairment in temporal lobe epilepsy.

Yu-Hsuan A Chang, Anisa Marshall, Naeim Bahrami, Kushagra Mathur, Sogol S Javadi, Anny Reyes, Manu Hegde, Jerry J Shih, Brianna M Paul, Donald J Hagler and 1 more

Open access · greenAbstract read
In one paragraph

Article in Epilepsia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 31 citations in OpenAlex.

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  10. Neurobehavioral and Clinical Comorbidities in Epilepsy: The Role of White Matter Network Disruption.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Review
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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

11 authors at 5 institutions in 2 countries.

Yu-Hsuan A ChangDepartment of Psychiatry, University of California, San Diego, California.
Anisa MarshallCenter for Multimodal Imaging and Genetics, University of California, San Diego, California.
Naeim BahramiDepartment of Psychiatry, University of California, San Diego, California.
Kushagra MathurCenter for Multimodal Imaging and Genetics, University of California, San Diego, California.
Sogol S JavadiCenter for Multimodal Imaging and Genetics, University of California, San Diego, California.
Anny ReyesCenter for Multimodal Imaging and Genetics, University of California, San Diego, California.
Manu HegdeDepartment of Neurology, University of California, San Francisco, California.
Jerry J ShihDepartment of Neurosciences, University of California, San Diego, California.
Brianna M PaulDepartment of Neurology, University of California, San Francisco, California.
Donald J HaglerCenter for Multimodal Imaging and Genetics, University of California, San Diego, California.
Carrie R McDonaldDepartment of Psychiatry, University of California, San Diego, California.
University of California, San Diego · USEpilepsy Foundation · AUSan Diego State University · USUniversity of California, San Francisco · USUniversity of California System · 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
NIH HHS (R01 NS065838)NINDS NIH HHS R01 NS065838
6 · The paper itself

Abstract

objectivesTemporal lobe epilepsy (TLE) is known to affect large-scale gray and white matter networks, and these network changes likely contribute to the verbal memory impairments observed in many patients. In this study, we investigate multimodal imaging patterns of brain alterations in TLE and evaluate the sensitivity of different imaging measures to verbal memory impairment.

methodsDiffusion tensor imaging (DTI), volumetric magnetic resonance imaging (vMRI), and resting-state functional MRI (rs-fMRI) were evaluated in 46 patients with TLE and 33 healthy controls to measure patterns of microstructural, structural, and functional alterations, respectively. These measurements were obtained within the white matter directly beneath neocortex (ie, superficial white matter [SWM]) for DTI and across neocortex for vMRI and rs-fMRI. The degree to which imaging alterations within left medial temporal lobe/posterior cingulate (LMT/PC) and left lateral temporal regions were associated with verbal memory performance was evaluated.

resultsPatients with left TLE and right TLE both demonstrated pronounced microstructural alterations (ie, decreased fractional anisotropy [FA] and increased mean diffusivity [MD]) spanning the entire frontal and temporolimbic SWM, which were highly lateralized to the ipsilateral hemisphere. Conversely, reductions in cortical thickness in vMRI and alterations in the magnitude of the rs-fMRI response were less pronounced and less lateralized than the microstructural changes. Both stepwise regression and mediation analyses further revealed that FA and MD within SWM in LMT/PC regions were the most robust predictors of verbal memory, and that these associations were independent of left hippocampal volume. SIGNIFICANCE: These findings suggest that microstructural loss within the SWM is pronounced in patients with TLE, and injury to the SWM within the LMT/PC region plays a critical role in verbal memory impairment.

Indexed as

NeuroimagingVerbal LearningAdultBrain MappingDiffusion Tensor ImagingEpilepsy, Temporal LobeFemaleHippocampusHumansMagnetic Resonance ImagingMaleMemory DisordersMiddle AgedMultimodal ImagingNeuropsychological TestsOrgan Sizecognitive abilitydiffusion tensor imagingmultimodal neuroimagingsuperficial white mattervolumetric MRI

Identifiers

PMID31020649
PMCPMC6584028
OpenAlexW2941426868

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.