Evidence map›Paper›PMID 41559310›Full record

ArticleScientific reports2026

Emotion recognition from faces and bodies in Parkinson's disease and its relationship to MRI-based brain volumetry.

Petra Brandoburova, Veronika Bolekova, Michal Hajduk, Igor Straka, Michaela Jezberova, Peter Valkovic, Radek Marecek, Zuzana Kosutzka

Abstract read
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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Petra Brandoburova *Second Department of Neurology, Faculty of Medicine, Comenius University and University Hospital Bratislava, Limbová 5, 833 05, Bratislava, Slovakia.
Veronika Bolekova *Second Department of Neurology, Faculty of Medicine, Comenius University and University Hospital Bratislava, Limbová 5, 833 05, Bratislava, Slovakia.
Michal HajdukDepartment of Psychology, Faculty of Arts, Comenius University , Bratislava, Slovakia.
Igor StrakaSecond Department of Neurology, Faculty of Medicine, Comenius University and University Hospital Bratislava, Limbová 5, 833 05, Bratislava, Slovakia.
Michaela JezberovaDr. Magnet Ltd., Dr Magnet Ltd., Bratislava, Slovakia.
Peter ValkovicSecond Department of Neurology, Faculty of Medicine, Comenius University and University Hospital Bratislava, Limbová 5, 833 05, Bratislava, Slovakia.
Radek MarecekCEITEC, Masaryk University, Brain and Mind Research Program, Brno, Czechia.
Zuzana KosutzkaSecond Department of Neurology, Faculty of Medicine, Comenius University and University Hospital Bratislava, Limbová 5, 833 05, Bratislava, Slovakia. kosutzka1@uniba.sk.

Funding

Agentúra na Podporu Výskumu a Vývoja APVV-24-0369StartLab Crowdfunding Aby veda nebola bieda
6 · The paper itself

Abstract

Although Parkinson's disease (PD) is primarily defined by motor symptoms, non-motor manifestations-including deficits in social cognition-are increasingly recognized for their impact on daily functioning. Emotion recognition impairment is one such deficit, but prior research has mainly focused on facial expressions, neglecting other socially relevant cues such as body postures. This study examined recognition of emotions from both faces and bodies and their cognitive and neuroanatomical correlates in non-demented patients with PD. We enrolled 25 individuals with mild to moderate PD and 24 age-matched healthy controls. Emotion recognition was assessed with validated facial (ER-40) and bodily (BR-40) tasks. Cognitive function was evaluated with the Montreal Cognitive Assessment, Dementia Rating Scale-2 and Frontal Assessment Battery. Motor symptoms were rated using the MDS-UPDRS Part III. Structural MRI data were analyzed with FreeSurfer. Compared with controls, patients with PD showed a specific impairment in recognizing emotions from body postures, despite comparable overall performance to controls. Within the PD group, poorer recognition was associated with greater cognitive impairment and higher bradykinesia subscores. MRI volumetry linked emotion recognition performance to the volumes of the cerebellar white matter, hippocampus, and left nucleus accumbens. In addition to these structures, facial emotion recognition was specifically related to cerebellar cortical volume, whereas body posture recognition showed associations with the rightputamen, and right amygdala. These findings highlight modality-specific social cognitive deficits in PD, related to both cognition and structural brain changes.

Indexed as

BrainEmotionsFacial RecognitionMagnetic Resonance ImagingParkinson DiseaseAgedCase-Control StudiesFacial ExpressionFemaleHumansMaleMiddle AgedRecognition, PsychologyBodyEmotion recognitionFaceParkinson’s diseaseStructural MRI

Identifiers

PMID41559310
PMCPMC12895033

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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.