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V. Belloch

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Open access Aug 2026

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

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.

Eva Calderón-Rubio, V. Costumero, V. Belloch et al. · Brain Imaging and Behavior · 0 citations

Open access Aug 2026

Individual-level hippocampal engagement across three fMRI episodic memory-related tasks for presurgical patients.

BACKGROUND Reliable detection of hippocampal engagement is critical in presurgical memory fMRI, yet the extent to which different paradigms differentially recruit anterior and posterior hippocampal regions at the individual level remains unclear. This study systematically compares hippocampal engagement across three commonly used memory fMRI tasks-autobiographical memory (AUT), picture encoding (PIC) and hometown walking (HTW)- at the individual level, with a particular emphasis on anterior versus posterior hippocampal regions. METHODS A total of 113 presurgical patients completed at least one memory fMRI task (AUT: n = 41; PIC: n = 53; HTW: n = 60). Hippocampal regions of interest were anatomically defined and subdivided into anterior/posterior and ipsilesional/contralesional segments. Individual-level suprathreshold activation detectability of hippocampal ROIs was assessed using standardized statistical criteria (p < 0.01, uncorrected). RESULTS All tasks showed high global hippocampal detection rates. However, regional differences were observed in the anterior hippocampus, where AUT demonstrated higher detectability, particularly contralesionally (88.9 %), compared with PIC (60 %) and HTW (64.7 %) (Cramér's V = 0.259). In contrast, posterior hippocampal detection was high and comparable across tasks, with PIC showing the highest rates (80.6-97.8 %). Whole-brain analyses revealed stronger engagement of default mode network regions for AUT. CONCLUSIONS Memory fMRI paradigms show distinct regional hippocampal engagement profiles and are not interchangeable for presurgical mapping at the individual level. These findings may inform task selection in presurgical memory fMRI depending on the anatomical region of interest and clinical context.

Eva Calderón-Rubio, A. Miró-Padilla, Jesús Adrián-ventura et al. · Epilepsy & Behavior · 0 citations