title: Preoperative localization of the sensorimotor area using independent component analysis of resting-state fMRI.
abstract: Analysis of resting-state functional magnetic resonance imaging (fMRI) data is based on detecting low-frequency signal fluctuations in functionally connected brain areas. These synchronous fluctuations in resting-state networks have been observed in several studies with healthy subjects. In this study, we explored if independent component analysis (ICA) can be used to localize the sensorimotor area from resting-state fMRI data in patients with brain tumors. Finger-tapping activation task and resting-state blood-oxygenation-level-dependent fMRI data were acquired from 8 patients with brain tumors and 10 healthy volunteers. Sensorimotor task independent components (IC(task)) were used to verify resting-state independent components (IC(rest)) individually. In addition, sensorimotor IC(rest)s were compared between the groups and no significant differences were detected in volume, spatial correlation or temporal correlation. These results show that it is possible to localize a sensorimotor area from resting-state data using ICA in patients with brain tumors. This offers a complementary method for assessing the sensorimotor area in subjects with brain tumors who have difficulties in performing motor paradigms.
authors.affiliation: Department of Radiology, Oulu University Hospital, Oulu, Finland. salla-maarit.kokkonen@ppshp.fi
authors.forename: Salla-Maarit
authors.initials: SM
authors.lastname: Kokkonen
authors.forename: Juha
authors.initials: J
authors.lastname: Nikkinen
authors.forename: Jukka
authors.initials: J
authors.lastname: Remes
authors.forename: Jussi
authors.initials: J
authors.lastname: Kantola
authors.forename: Tuomo
authors.initials: T
authors.lastname: Starck
authors.forename: Marianne
authors.initials: M
authors.lastname: Haapea
authors.forename: Juho
authors.initials: J
authors.lastname: Tuominen
authors.forename: Osmo
authors.initials: O
authors.lastname: Tervonen
authors.forename: Vesa
authors.initials: V
authors.lastname: Kiviniemi
mesh_terms: D000293:Adolescent; D000328:Adult; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000503:physiopathology / Q000601:surgery*; D019054:Evoked Potentials, Motor; D005073:Evoked Potentials, Somatosensory; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009044:Motor Cortex / Q000473:pathology* / Q000503:physiopathology; D011300:Preoperative Care / Q000379:methods; D025341:Principal Component Analysis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013003:Somatosensory Cortex / Q000473:pathology* / Q000503:physiopathology; D055815:Young Adult