Evidence map›Paper›PMID 27452151›Full record

ArticleHuman brain mapping2016

Altered anterior-posterior connectivity through the arcuate fasciculus in temporal lobe epilepsy.

Shigetoshi Takaya, Hesheng Liu, Douglas N Greve, Naoaki Tanaka, Catherine Leveroni, Andrew J Cole, Steven M Stufflebeam

Abstract read
In one paragraph

Article in Human brain mapping, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. MultimodalJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    Article
  4. Article
  5. Article
  6. Article
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

7 authors.

Shigetoshi TakayaMGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
Hesheng LiuMGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
Douglas N GreveMGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
Naoaki TanakaMGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.
Catherine LeveroniHarvard Medical School, Boston, Massachusetts.
Andrew J ColeHarvard Medical School, Boston, Massachusetts.
Steven M StufflebeamMGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts.

Funding

The Human Connectome Project (HCP)U01MH093765 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2010 to 2014
$12.1M
Project 4P41EB015896 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2012 to 2018
$9.8M
Neuroimaging Training ProgramT32EB001680 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BRUCE R ROSEN · 2003 to 2026
$3.8M
Functional Connectivity of Intrinsic Brain Activity for Presurgical MappingR01NS069696 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI STUFFLEBEAM, STEVEN · 2011 to 2015
$2.9M
Translating The Individualized Functional Connectome To Surgical PlanningR01NS091604 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI LIU, HESHENG · 2015 to 2019
$2.1M
NIBIB NIH HHS P41 EB015896NIBIB NIH HHS T32 EB001680NIMH NIH HHS U01 MH093765NINDS NIH HHS R01 NS069696NINDS NIH HHS R01 NS091604
6 · The paper itself

Abstract

How the interactions between cortices through a specific white matter pathway change during cognitive processing in patients with epilepsy remains unclear. Here, we used surface-based structural connectivity analysis to examine the change in structural connectivity with Broca's area/the right Broca's homologue in the lateral temporal and inferior parietal cortices through the arcuate fasciculus (AF) in 17 patients with left temporal lobe epilepsy (TLE) compared with 17 healthy controls. Then, we investigated its functional relevance to the changes in task-related responses and task-modulated functional connectivity with Broca's area/the right Broca's homologue during a semantic classification task of a single word. The structural connectivity through the AF pathway and task-modulated functional connectivity with Broca's area decreased in the left midtemporal cortex. Furthermore, task-related response decreased in the left mid temporal cortex that overlapped with the region showing a decrease in the structural connectivity. In contrast, the region showing an increase in the structural connectivity through the AF overlapped with the regions showing an increase in task-modulated functional connectivity in the left inferior parietal cortex. These structural and functional changes in the overlapping regions were correlated. The results suggest that the change in the structural connectivity through the left frontal-temporal AF pathway underlies the altered functional networks between the frontal and temporal cortices during the language-related processing in patients with left TLE. The left frontal-parietal AF pathway might be employed to connect anterior and posterior brain regions during language processing and compensate for the compromised left frontal-temporal AF pathway. Hum Brain Mapp 37:4425-4438, 2016. © 2016 Wiley Periodicals, Inc.

Indexed as

SemanticsAdolescentAdultBrain MappingCerebral CortexDrug Resistant EpilepsyEpilepsy, Temporal LobeFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysNeutralization TestsBroca's areaFreesurferfunctionlanguageMRIpsychophysiological interactionreorganizationsemanticstructuretractography

Identifiers

PMID27452151
PMCPMC5319387

What OpenQuestion holds

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Registered trials

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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.