Evidence map›Paper›PMID 32874715›Full record

ArticleSurgical neurology international2020

A case of aphasia due to temporobasal edema: Contemporary models of language anatomy are clinically relevant.

Werner Surbeck, Francois Gerardy, Aude Barjona Morgado De Moura, Louis Deprez, Didier Martin, Felix Scholtes

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Surgical neurology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

Werner SurbeckDepartment of Psychiatry, Psychiatric Hospital of the University of Zürich, Militarstrasse, Zürich, Switzerland.
Francois GerardyDepartment of Neurosurgery, University Hospital of Liège, Avenue de L'hopital 1, Liège, Belgium.
Aude Barjona Morgado De MouraDepartment of Physical Therapy, University Hospital of Liège, Avenue de L'hopital 1, Liège, Belgium.
Louis DeprezDepartment of Medical Imaging, University Hospital of Liège, Avenue de L'hopital 1, Liège, Belgium.
Didier MartinDepartment of Neurosurgery, University Hospital of Liège, Avenue de L'hopital 1, Liège, Belgium.
Felix ScholtesDepartment of Neurosurgery, University Hospital of Liège, Avenue de L'hopital 1, Liège, Belgium.
University Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the anatomy of language in the human brain is crucial for neurosurgical decision making and complication avoidance. The traditional anatomical models of human language, relying on relatively simple and rigid concepts of brain connectivity, cannot explain all clinical observations. The clinical case reported here illustrates the relevance of more recent concepts of language networks involving white matter tracts and their connections. CASE DESCRIPTION: Postoperative edema of the ventral occipitotemporal cortex, where modern network models locate a crucial language hub, resulted in transient severe aphasia after a subtemporal approach. Both verbal comprehension and expression were lost. The resolution of edema was associated with complete recovery from phonetic and semantic dysfunction.

conclusionComplete aphasia due to a functional disturbance remote from the areas of Broca and Wernicke could be explained by contemporary neuroanatomical concepts of white matter connectivity. Knowledge of network-based models is relevant in brain surgery complication avoidance.

Indexed as

AphasiaConnectivityLanguageNetworksWhite matter tracts

Identifiers

PMID32874715
PMCPMC7451163
OpenAlexW3045366307

What OpenQuestion holds

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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.