Evidence map›Paper›PMID 30035016›Full record

ArticleNeuroImage. Clinical2018

Psychomotor slowing is associated with anomalies in baseline and prospective large scale neural networks in youth with epilepsy.

Camille Garcia-Ramos, Kevin Dabbs, Elizabeth Meyerand, Vivek Prabhakaran, David Hsu, Jana Jones, Michael Seidenberg, Bruce Hermann

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2018. 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
  2. Article
  3. Article
  4. Cognitive slowing and its underlying neurobiology in temporal lobe epilepsy.Cortex; a journal devoted to the study of the nervous system and behavior · 2019
    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.

Camille Garcia-RamosMedical Physics, University of Wisconsin School of Medicine and Public Health Madison WI, USA. Electronic address: garciaramos@wisc.edu.
Kevin DabbsDepartments of Neurology, University of Wisconsin School of Medicine and Public Health Madison WI, USA.
Elizabeth MeyerandMedical Physics, University of Wisconsin School of Medicine and Public Health Madison WI, USA; Radiology, University of Wisconsin School of Medicine and Public Health Madison WI, USA; Biomedical Engineering, University of Wisconsin School of Medicine and Public Health Madison WI, USA.
Vivek PrabhakaranMedical Physics, University of Wisconsin School of Medicine and Public Health Madison WI, USA; Radiology, University of Wisconsin School of Medicine and Public Health Madison WI, USA; Psychiatry, University of Wisconsin School of Medicine and Public Health Madison WI, USA.
David HsuDepartments of Neurology, University of Wisconsin School of Medicine and Public Health Madison WI, USA.
Jana JonesDepartments of Neurology, University of Wisconsin School of Medicine and Public Health Madison WI, USA.
Michael SeidenbergDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA.
Bruce HermannDepartments of Neurology, University of Wisconsin School of Medicine and Public Health Madison WI, USA.

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Neuropsychological Progression of New Onset EpilepsyR01NS044351 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HERMANN, BRUCE PHILLIP · 2003 to 2015
$6.3M
NCATS NIH HHS UL1 TR000427NCI NIH HHS T32 CA009206NINDS NIH HHS R01 NS044351
6 · The paper itself

Abstract

Purpose: Psychomotor slowing is a common but understudied cognitive impairment in epilepsy. Here we test the hypothesis that psychomotor slowing is associated with alterations in brain status reflected through analysis of large scale structural networks. We test the hypothesis that children with epilepsy with cognitive slowing at diagnosis will exhibit a cross-sectional and prospective pattern of altered brain development. Methods: A total of 78 children (age 8-18) with new/recent onset idiopathic epilepsies underwent 1.5 T MRI with network analysis of cortical, subcortical and cerebellar volumes. Children with epilepsy were divided into slow and fast psychomotor speed groups (adjusted for age, intelligence and epilepsy syndrome). Results: At baseline, slow-speed performers (SSP) presented lower modularity, lower global efficiency, higher transitivity, and lower number of hubs than fast-speed performers (FSP). Community structure in SSP exhibited poor association between cortical regions and both subcortical structures and the cerebellum while FSP presented well-defined communities. Prospectively, SSP displayed lower modularity but higher global efficiency and transitivity compared to FSP. Modules in FSP showed higher integration between and within themselves compared to SSP. SSP showed hubs mainly from frontal and temporal regions while in FSP were spread among frontal, temporal, parietal, subcortical areas and the left cerebellum. Implications: Results suggest the presence of widespread alterations in large scale networks between fast- and slow-speed children with recent onset epilepsies both at baseline and 2 years later. Slower processing speed appears to be a marker of abnormal brain development antecedent to epilepsy onset as well as brain development over the 2 years following diagnosis.

Indexed as

AdolescentChildCognitionCross-Sectional StudiesEpilepsyFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNeuropsychological TestsPsychomotor PerformanceReaction Time

Identifiers

PMID30035016
PMCPMC6051771

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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.