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Cognition Disconnected: The Influence of Domain-General Cognition (g) in Lesion-Deficit Mapping
Lara Sozer1, Joseph Griffis2, Kathleen Langbehn3
1Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, Iowa 52242, United States of America.
Biorxiv : the Preprint Server for Biology
|December 15, 2025
Summary
Domain-general cognition (g) influences lesion-deficit mapping. Accounting for g reveals distinct neuroanatomy for specific cognitive functions, improving accuracy in brain-behavior research.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Neurology
Background:
- Lesion-deficit mapping is crucial for understanding cognitive functions.
- The impact of domain-general cognition (g) on this mapping is understudied.
- General cognitive abilities may confound efforts to link specific functions to distinct brain regions.
Purpose of the Study:
- To investigate the influence of domain-general cognition (g) on lesion-deficit mapping.
- To determine if accounting for g improves the identification of neuroanatomical correlates of specific cognitive functions.
- To assess the impact of g on the spatial inter-correlation of lesion-deficit maps.
Main Methods:
- Utilized structural equation modeling, lesion-behavior mapping (LBM), structural (sLNM), and functional (fLNM) lesion network mapping.
- Modeled latent variables for visuospatial ability, processing speed, language, and memory in 473 patients with focal brain damage.
- Analyzed lesion-deficit maps with and without g-associated variance.
Main Results:
- Lesion-deficit maps for specific cognitive abilities showed significantly less spatial inter-correlation after partitioning out g (p=0.010 for LBM; p=0.003 for sLNM; p=0.003 for fLNM).
- Distinct neuroanatomical substrates for cognitive domains became apparent only after accounting for g.
- Partitioning g clarified the separation between domain-specific and general cognitive lesion maps.
Conclusions:
- Domain-general cognitive variance can significantly impact conclusions drawn from lesion-deficit mapping.
- Accounting for g is essential for accurately dissociating neural correlates of cognitive functions.
- This approach enhances the precision of identifying distinct neuroanatomy for specific cognitive domains.
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