Evidence map›Paper›PMID 29593633›Full record

ArticleFrontiers in neurology2018

Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis.

Zafer Keser, Khader M Hasan, Benson Mwangi, Kyan Younes, Mahsa Khayat-Khoei, Arash Kamali, John A Lincoln, Flavia M Nelson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Yakovlev's Basolateral Limbic Circuit in Multiple Sclerosis Related Cognitive Impairment.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018
    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

8 authors at 1 institution in 1 country.

Zafer KeserDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Khader M HasanDepartment of Diagnostic and Interventional Radiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Benson MwangiDepartment of Psychiatry, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Kyan YounesDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Mahsa Khayat-KhoeiDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Arash KamaliDepartment of Diagnostic and Interventional Radiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
John A LincolnDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Flavia M NelsonDepartment of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
The University of Texas Health Science Center at Houston · US

Funding

Detection of MS Related Cognitive Impairment: In Search of MRI Surrogate MarkersK23NS072134 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI NELSON, FLAVIA M · 2011 to 2014
$679k
NINDS NIH HHS K23 NS072134
6 · The paper itself

Abstract

BACKGROUND AND

objectiveCognitive impairment (CI) is common in multiple sclerosis (MS), but underlying mechanisms and their imaging correlates are not completely understood. The gray and white matter structures of the limbic system (LS) play crucial roles in different aspects of cognition. To investigate their role in MS related CI, and since a detailed evaluations are lacking in the literature, we used a comprehensive neuroimaging approach to evaluate CI's correlations with the main components of the LS.

methodsTen non-cognitively impaired MS patients and 30 MS patients with diagnosed CI, who underwent a comprehensive neuropsychological evaluation were included in the analysis. Microstructural integrity, volumetry of main limbic gray and white matter structures and cortical thickness were assessed for associations with CI.

resultsFornix and cingulum/cingulate cortices were found to be the strongest correlates of CI in MS. As expected, LS' gray and white matter structures were involved in various cognitive functions. Uncinate fasciculi showed significant correlation with verbal and visuospatial learning and memory, phonemic and semantic fluency; hippocampi with visuospatial skills, phonemic and semantic fluency, executive functions, and processing speed; thalami with verbal learning, visuospatial skills, semantic fluency; and amygdala with verbal recognition discrimination.

conclusionThis comprehensive neuroimaging approach elucidated the role of the main limbic structures in cognitive functions associated with MS-related CI.

Indexed as

cognitioncortical thicknessdiffusion tensor imaginglimbic systemmultiple sclerosis

Identifiers

PMID29593633
PMCPMC5857595
OpenAlexW2791125682

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.