Evidence map›Paper›PMID 28180072›Full record

ArticleNeuroImage. Clinical2017

The diminishing dominance of the dominant hemisphere: Language fMRI in focal epilepsy.

Chris Tailby, David F Abbott, Graeme D Jackson

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Language laterality and cognitive skills: does anatomy matter?Cerebral cortex (New York, N.Y. : 1991) · 2026
    Article
  3. Beyond Broca and Wernicke: Epilepsy surgery in the language areas.Epileptic disorders : international epilepsy journal with videotape · 2026
    Review
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  8. Robust-tedana: An automated denoising pipeline for multi-echo fMRI data.bioRxiv : the preprint server for biology · 2025
    Article
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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

3 authors at 1 institution in 1 country.

Chris TailbyThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia; School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia.
David F AbbottThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia; Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia.
Graeme D JacksonThe Florey Institute of Neuroscience and Mental Health, Austin Campus, Melbourne, VIC, Australia; Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Department of Neurology, Austin Health, Melbourne, VIC, Australia.
The University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Which is the dominant hemisphere?" is a question that arises frequently in patients considered for neurosurgery. The concept of the dominant hemisphere implies uniformity of language lateralisation throughout the brain. It is increasingly recognised that this is not the case in the healthy control brain, and it is especially not so in neurological diseases such as epilepsy. In the present work we adapt our published objective lateralisation method (based on the construction of laterality curves) for use with sub-lobar cortical, subcortical and cerebellar regions of interest (ROIs). We apply this method to investigate regional lateralisation of language activation in 12 healthy controls and 18 focal epilepsy patients, using three different block design language fMRI paradigms, each tapping different aspects of language processing. We compared lateralisation within each ROI across tasks, and investigated how the quantity of data collected affected the ability to robustly estimate laterality across ROIs. In controls, lateralisation was stronger, and the variance across individuals smaller, in cortical ROIs, particularly in the Inferior Frontal (Broca) region. Lateralisation within temporal ROIs was dependent on the nature of the language task employed. One of the healthy controls was left lateralised anteriorly and right lateralised posteriorly. Consistent with previous work, departures from normality occurred in ~ 15-50% of focal epilepsy patients across the different ROIs, with atypicality most common in the Lateral Temporal (Wernicke) region. Across tasks and ROIs the absolute magnitude of the laterality estimate increased and its across participant variance decreased as more cycles of task and rest were included, stabilising at ~ 4 cycles (~ 4 min of data collection). Our data highlight the importance of considering language as a complex task where lateralisation varies at the subhemispheric scale. This is especially important for presurgical planning for focal resections where the concept of 'hemispheric dominance' may be misleading. This is a precision medicine approach that enables objective evaluation of language dominance within specific brain regions and can reveal surprising and unexpected anomalies that may be clinically important for individual cases.

Indexed as

LanguageMagnetic Resonance ImagingBrainBrain MappingEpilepsies, PartialFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMaleNeuropsychological TestsOxygenOxygenfMRI, Functional magnetic resonance imagingLanguage lateralisationLateralityLI, Laterality indexNV, Noun verbOLR, Orthographical lexical retrievalPresurgical planningPR, Pseudoword rhymingRegionalROI, Region of interestStatistical powerSubcortical

Identifiers

PMID28180072
PMCPMC5279902
OpenAlexW2577051431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.