Evidence map›Paper›PMID 35484213›Full record

ArticleCommunications biology2022

Drug-resistant focal epilepsy in children is associated with increased modal controllability of the whole brain and epileptogenic regions.

Aswin Chari, Kiran K Seunarine, Xiaosong He, Martin M Tisdall, Christopher A Clark, Dani S Bassett, Rod C Scott, Richard E Rosch

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Towards network-guided neuromodulation for epilepsy.Brain : a journal of neurology · 2022
    Review
  11. 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 at 6 institutions in 3 countries.

Aswin ChariDevelopmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.ORCID http://orcid.org/0000-0003-0053-147X
Kiran K SeunarineDevelopmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.
Xiaosong HeDepartment of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Martin M TisdallDevelopmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.
Christopher A ClarkDevelopmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK.
Dani S BassettDepartment of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-6183-4493
Rod C ScottDevelopmental Neurosciences, Great Ormond Street Institute of Child Health, University College London, London, UK. rodney.scott@nemours.org.ORCID http://orcid.org/0000-0002-8944-928X
Richard E RoschDepartment of Bioengineering, Electrical & Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-0316-5818
Great Ormond Street Hospital · GBKing's College London · GBSanta Fe Institute · USUniversity College London · GBUniversity of Science and Technology of China · CNUniversity of Vermont · US

Funding

Department of HealthWellcome Trust 209164/Z/17/Z
6 · The paper itself

Abstract

Network control theory provides a framework by which neurophysiological dynamics of the brain can be modelled as a function of the structural connectome constructed from diffusion MRI. Average controllability describes the ability of a region to drive the brain to easy-to-reach neurophysiological states whilst modal controllability describes the ability of a region to drive the brain to difficult-to-reach states. In this study, we identify increases in mean average and modal controllability in children with drug-resistant epilepsy compared to healthy controls. Using simulations, we purport that these changes may be a result of increased thalamocortical connectivity. At the node level, we demonstrate decreased modal controllability in the thalamus and posterior cingulate regions. In those undergoing resective surgery, we also demonstrate increased modal controllability of the resected parcels, a finding specific to patients who were rendered seizure free following surgery. Changes in controllability are a manifestation of brain network dysfunction in epilepsy and may be a useful construct to understand the pathophysiology of this archetypical network disease. Understanding the mechanisms underlying these controllability changes may also facilitate the design of network-focussed interventions that seek to normalise network structure and function.

Indexed as

ConnectomeDrug Resistant EpilepsyEpilepsies, PartialEpilepsyBrainChildHumans

Identifiers

PMID35484213
PMCPMC9050895
OpenAlexW4225323245

What OpenQuestion holds

Textmetadata
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.