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The artists’ brain

A data fusion approach to characterize the neural bases of professional visual artists

Bibliographic Data

ID17813281
AuthorsErdem Taskiran (0009-0005-7550-2819, corresponding author), Francesca Bacci (0000-0003-0124-9409), David Melcher (0000-0002-4821-6375), Alessandro Grecucci (0000-0001-6043-2196), Nicola De Pisapia (0000-0002-1089-8841)
Year2026
Publication date2026-01-12
Open AccessNo
TypeARTICLE
VenuePsychology of Aesthetics Creativity and the Arts (JOURNAL)
Journal identifiersISSN: 1931-3896 • E-ISSN: 1931-390X
PublisherAmerican Psychological Association (PUBLISHER • US)
DOI10.1037/aca0000818
OpenAlexW7122667796
LanguageEN

Although everyone has the capacity to draw, only some develop the expertise to produce professional art. Despite extensive creativity research, surprisingly little is known about how years of visual artistic training reshape the neural architecture that distinguishes professional artists from nonartist. To address this gap, we applied joint independent component analysis to detect structural (gray matter volume, white matter fractional anisotropy), and functional (resting-state regional homogeneity), neuroimaging data from 12 professional visual artists and 12 matched controls. This multimodal approach identified a joint gray matter–resting-state regional homogeneity–fractional anisotropy component (Independent Component 2) that significantly distinguished artists from controls ( p = .020, d = 1.028). Compared to controls, artists showed coordinated neural adaptations including increased GM in parietal, temporal, frontal regions, and posterior cingulate cortex; enhanced white matter integrity in anterior thalamic radiations, corticospinal tracts, and association fibers; and increased functional homogeneity in basal ganglia and cerebellar structures. Notably, Independent Component 2 expression correlated with higher visual imagery vividness, linking neural adaptations to cognitive abilities fundamental to artistic creation. Taken together, these results highlight the involvement of canonical creativity networks (default mode network–executive control network) while also extending them to include domain-specific adaptations in cerebellar, sensorimotor, and subcortical systems. Despite these advances, replication with larger samples is necessary. (PsycInfo Database Record (c) 2026 APA, all rights reserved)

Brain mapping · Cognition · Creativity · Default mode network · Fractional anisotropy · Grey matter · Neural correlates of consciousness · Neuroimaging · White matter · Aesthetic Perception and Analysis · Creativity in Education and Neuroscience · Spatial Neglect and Hemispheric Dysfunction

Highly citedNo

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