Evidence map›Paper›PMID 42626436›Full record

SynthesisFrontiers in integrative neuroscience2026

Hemispheric asymmetries in rodent models of neurological diseases: a systematic review.

Maximilian Schuessler, Annakarina Mundorf

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in integrative neuroscience, 2026. 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
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

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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.

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

2 authors.

Maximilian SchuesslerInstitute for Diagnostic and Interventional Radiology, Neuroradiology and Nuclear Medicine, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany.
Annakarina MundorfInstitute for Systems Medicine, Department of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hemispheric asymmetries are a core organizational principle of the vertebrate brain, but they are still not fully integrated into the study of preclinical models of neurological disease. Although many rodent models naturally include lateralization through unilateral interventions, hemispheric differences are not consistently examined or systematically reported. Methods: A systematic review was conducted following PRISMA guidelines, combining evidence from 48 studies on hemispheric asymmetries in rodent models of neurological conditions, including mild traumatic brain injury, epilepsy, stroke, Alzheimer's, and Parkinson's disease. Results: Across these models, disease processes cause strong lateralized effects on behavior, neurochemistry, and regional metabolism. In epilepsy models specifically, hemispheric asymmetries depend on the model: early seizure spread and network excitability can be lateralized, while other paradigms show more symmetric responses, emphasizing the role of baseline circuit asymmetries and genetic background. Similar lateralized effects are seen in stroke and Parkinson's models, reflecting clinical phenomena such as lesion-side-dependent outcomes and unilateral symptom onset. Discussion: Models focusing on intrinsic hemispheric asymmetry or interhemispheric/bilateral response highlight existing differential sensitivity to experimental manipulations that may predispose the system to asymmetric outcomes. Nonetheless, variability and dynamic shifts in hemispheric organization are rarely taken into account. Incorporating hemispheric analysis systematically into experimental design and data interpretation could enhance the sensitivity, clarity, and clinical relevance of rodent models of neurological disease.

Indexed as

Alzheimer’s diseasebrain injuryepilepsyinter-individual differenceslateralizationlesionParkinson’s diseasestroke

Identifiers

PMID42626436
PMCPMC13491434

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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.