Evidence map›Paper›PMID 35756916›Full record

ArticleFrontiers in neurology2022

Case Report: Resting-State Brain-Networks After Near-Complete Hemispherectomy in Adulthood.

Patrick M Fisher, Simon S Albrechtsen, Vardan Nersesjan, Moshgan Amiri, Daniel Kondziella

Abstract readCase Reports
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Patrick M FisherDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Simon S AlbrechtsenDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Vardan NersesjanDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Moshgan AmiriDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Daniel KondziellaDepartment of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Understanding the dynamics of reorganized network-level brain functions after hemispherectomy is important for treatment, prognostication, and rehabilitation of brain injury, but also for investigating questions of fundamental neurobehavioral interest: How does the brain promote consciousness despite loss of one hemisphere? Methods: We studied resting-state functional connectivity (RSFC) in a high-functioning middle-aged man 6 years after functional hemispherectomy following malignant middle cerebral artery infarction, and we compared results to RSFC in 20 healthy controls. Results: Our analysis indicates increased between-network connectivity for all seven networks examined in the patient's preserved hemisphere, compared to healthy controls, suggesting a shift toward increased between-network connectivity following near-complete loss of one hemisphere during adulthood. Conclusions: These data corroborate and extend recent findings of increased between-network connectivity in the remaining hemisphere after surgical hemispherectomy for intractable epilepsy during childhood. Our results support a neuroplasticity model with reorganization of distributed brain connectivity within the preserved hemisphere as part of the road to recovery after brain injury, as well as recovery of consciousness and cognitive functions, after hemispherectomy.

Indexed as

brain injurybrain networkscerebral infarctioncognitionconsciousnessfunctional MRImalignant middle cerebral artery infarctionstroke

Identifiers

PMID35756916
PMCPMC9226565

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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.