Evidence map›Paper›PMID 42584801›Full record

ArticleBrain imaging and behavior2026

Spatially constrained ICA from a language task enables sensorimotor network extraction in patients with space-occupying brain lesions.

Eva Calderón-Rubio, Víctor Costumero, Vicente Belloch, César Ávila

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Article in Brain imaging and behavior, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Eva Calderón-RubioNeuropsychology & Functional Neuroimaging Group, Universitat Jaume I, Vicent Sos Banyat Avenue Research Building II, Castelló de la Plana (Castellón), 12006, Spain. ecaldero@uji.es.ORCID http://orcid.org/0000-0002-0539-0349
Víctor CostumeroNeuropsychology & Functional Neuroimaging Group, Universitat Jaume I, Vicent Sos Banyat Avenue Research Building II, Castelló de la Plana (Castellón), 12006, Spain.
Vicente BellochDepartment of Radiology, Clinica Ascires, Valencia, Valencia, Spain.
César ÁvilaNeuropsychology & Functional Neuroimaging Group, Universitat Jaume I, Vicent Sos Banyat Avenue Research Building II, Castelló de la Plana (Castellón), 12006, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although resting-state fMRI is a promising alternative to task-fMRI in presurgical mapping, protocols to simultaneously assess language lateralization and sensorimotor networks within a single acquisition remain limited. To evaluate the feasibility of using connectivity analysis derived from a language fMRI task to assess language lateralization and extract the sensorimotor network in presurgical patients with space-occupying lesions. In a retrospective study, 40 presurgical patients underwent a verb generation task (VGT) and a hand motor task (HMT). Single-subject spatially-constrained ICA (scICA) was performed on VGT scans to extract sensorimotor components. Sensitivity, specificity and Dice coefficient between scICA-derived scans and HMT activation maps were calculated. The effects of different variables were analyzed using ANOVA. Forty patients (mean age, 40.50 ± 13.99; 21 men) were included. Sensorimotor components could be extracted in all patients within the predefined constrained scICA framework. Using HMT activation as comparative reference, mean ipsilesional voxelwise sensitivity, specificity and Dice coefficient of scICA-derived maps were 78%, 75% and 36%, respectively. No significant differences were found between ipsilesional and contralesional hemispheres in sensitivity or specificity. Exploratory analyses suggested higher sensitivity values in the right contralesional hemisphere, higher magnetic field strength, and typical language lateralization, although most effects did not survive FDR correction. Our study supports the feasibility of extracting sensorimotor-related networks from a language task while simultaneously determining language lateralization in patients with space-occupying lesions. This approach may provide complementary presurgical information, potentially reducing acquisition time. Further validation using direct cortical stimulation and larger prospective cohorts is warranted.

Indexed as

BrainBrain NeoplasmsLanguageMagnetic Resonance ImagingSensorimotor CortexAdultBrain MappingFemaleFunctional LateralityHumansImage Processing, Computer-AssistedMaleMiddle AgedNeural PathwaysRetrospective StudiesSensitivity and SpecificityfMRIICASensorimotor cortexSpace-occupying lesion

Identifiers

PMID42584801
PMCPMC13469547

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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.