Evidence map›Paper›PMID 39250744›Full record

ArticleNeurology2024

Association of Normative and Non-Normative Brain Networks With Cognitive Function in Patients With Temporal Lobe Epilepsy.

Qirui Zhang, Stacy Hudgins, Aaron F Struck, Ankeeta Ankeeta, Sam S Javidi, Michael R Sperling, Bruce P Hermann, Joseph I Tracy

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In one paragraph

Article in Neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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  4. Review
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.

Qirui ZhangFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.
Stacy HudginsFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.
Aaron F StruckFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.ORCID 0000-0002-9103-1798
Ankeeta AnkeetaFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.
Sam S JavidiFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.
Michael R SperlingFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.ORCID 0000-0003-0708-6006
Bruce P HermannFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.ORCID 0000-0003-0133-4427
Joseph I TracyFrom the Farber Institute for Neuroscience (Q.Z., A.A., S.S.J., M.R.S., J.I.T.), Department of Neurology, Thomas Jefferson University, Philadelphia; Department of Biomedical Engineering (S.H.), Drexel University, Philadelphia, PA; and Department of Neurology (A.F.S., B.P.H.), University of Wisconsin School of Medicine and Public Health, Madison.

Funding

The Juvenile Myoclonic Epilepsy Connectome ProjectR01NS111022 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI STRUCK, AARON F · 2020 to 2024
$3.1M
Model Development for Prediction of Surgical Outcome in Temporal Lobe Epilepsy Patients: Incorporation of the Correlation between Post-Surgical Reorganization Phenotypes and Pre-Surgical DataR01NS112816 · NINDS · THOMAS JEFFERSON UNIVERSITY · PI TRACY, JOSEPH I. · 2019 to 2023
$2.3M
NINDS NIH HHS R01 NS111022NINDS NIH HHS R01 NS112816
6 · The paper itself

Abstract

BACKGROUND AND

objectivesDespite their temporal lobe pathology, a significant subgroup of patients with temporal lobe epilepsy (TLE) is able to maintain normative cognitive functioning. In this study, we identify patients with TLE with intact vs impaired neurocognitive profiles and interrogate for the presence of both normative and highly individual intrinsic connectivity networks (ICNs)-all toward understanding the transition from impaired to intact neurocognitive status.

methodsThis retrospective cross-sectional study included patients with TLE and matched healthy controls (HCs) from the Thomas Jefferson Comprehensive Epilepsy Center. Functional MRI data were decomposed using independent component analysis to obtain individualized ICNs. In this article, we calculated the degree of match between individualized ICNs and canonical ICNs (e.g., 17 resting-state networks by Yeo et al.) and divided each participant's ICNs into normative or non-normative status based on the degree of match.

results100 patients with TLE (mean age 42.0 [SD: 13.7] years, 47 women) and 92 HCs were included in this study. We found that the individualized networks matched to the canonical networks less well in the cognitively impaired (n = 24) compared with the cognitively intact (n = 63) patients with TLE by 2-way mixed-measures analysis of variance (impaired vs intact mean difference [MD] -0.165 [-0.317, -0.013], DISCUSSION: Our data demonstrated that significant cognitive deficits are associated with the status of both canonical and highly individual ICNs, making clear that the transition from intact to impaired cognitive status is not simply the result of disruption to normative brain networks.

Indexed as

CognitionEpilepsy, Temporal LobeMagnetic Resonance ImagingNerve NetAdultBrainCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsRetrospective Studies

Identifiers

PMID39250744
PMCPMC11385956

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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.