Evidence map›Paper›PMID 34222865›Full record

ArticleBrain communications2021

Computational support, not primacy, distinguishes compensatory memory reorganization in epilepsy.

Joseph I Tracy, Kapil Chaudhary, Shilpi Modi, Andrew Crow, Ashith Kumar, David Weinstein, Michael R Sperling

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Joseph I TracyDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Kapil ChaudharyDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Shilpi ModiDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Andrew CrowDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.ORCID https://orcid.org/0000-0002-5037-6212
Ashith KumarDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
David WeinsteinDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Michael R SperlingDepartment of Neurology, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Thomas Jefferson University · US

Funding

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 NS112816
6 · The paper itself

Abstract

Temporal lobe epilepsy is associated with impairment in episodic memory. A substantial subgroup, however, is able to maintain adequate memory despite temporal lobe pathology. Missing from prior work in cognitive reorganization is a direct comparison of temporal lobe epilepsy patients with intact status with those who are memory impaired. Little is known about the regional activations, functional connectivities and/or network reconfigurations that implement changes in primary computations or support functions that drive adaptive plasticity and compensated memory. We utilized task functional MRI on 54 unilateral temporal lobe epilepsy patients and 24 matched healthy controls during the performance of a paired-associate memory task to address three questions: (i) which regions implement paired-associate memory in temporal lobe epilepsy, and do they vary as a function of good versus poor performance, (ii) is there unique functional connectivity present during memory encoding that accounts for intact status by preservation of primary memory computations or the supportive computations that allow for intact memory responses and (iii) what features during memory encoding are most distinctive: is it the magnitude and location of regional activations, or the presence of enhanced functional connections to key structures such as the hippocampus? The study revealed non-dominant hemisphere regions (right posterior temporal regions) involving both increased regional activity and increased modulatory communication with the hippocampi as most important to intact memory in left temporal lobe epilepsy compared to impaired status. The profile involved areas that are neither contralateral homologues to left hemisphere memory areas, nor regions traditionally considered computationally primary for episodic memory. None of these areas of increased activation or functional connectivity were associated with advantaged memory in healthy controls. Our emphasis on different performance levels yielded insight into two forms of cognitive reorganization: computational primacy, where left temporal lobe epilepsy showed little change relative to healthy controls, and computational support where intact left temporal lobe epilepsy patients showed adaptive abnormalities. The analyses isolated the unique regional activations and mediating functional connectivity that implements truly compensatory reorganization in left temporal lobe epilepsy. The results provided a new perspective on memory deficits by making clear that they arise not just from the knockout of a functional hub, but from the failure to instantiate a complex set of reorganization responses. Such responses provided the computational support to ensure successful memory. We demonstrated that by keeping track of performance levels, we can increase understanding of adaptive brain responses and neuroplasticity in epilepsy.

Indexed as

computational primacycomputational supportmemory reorganizationpaired-associate memorytemporal lobe epilepsy

Identifiers

PMID34222865
PMCPMC8244645
OpenAlexW3138785697

What OpenQuestion holds

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LicenceCC BY
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.