ArticleJournal of neuro-oncology2026
Frequency-specific resting state fMRI features in gliomas.
Article in Journal of neuro-oncology, 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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Abstract
purposeResting-state functional MRI (rs-fMRI) indices may reflect altered physiology of brain tumours. While neural activity-related rs-fMRI features have been investigated, frequencies typically associated with non-neural vascular activity have received less attention. The current study therefore investigated effects of tumour grade and frequency band on rs-fMRI indices of interhemispheric differences in activity and connectivity.
methodsForty-six brain tumour patients (grades I-IV) underwent a single 10 min session of rs-fMRI. Interhemispheric indices (differences between the tumour mask and a matched contralateral non-tumour region) were calculated based on medians and ranges of functional parameters, including amplitude of low-frequency fluctuations (ALFF), fractional ALFF (fALFF), regional homogeneity (ReHo), and degree centrality (DC) across the slow-5 (0.01–0.027 Hz), slow-4 (0.027–0.073 Hz), and slow-3 (0.073–0.166 Hz) frequency bands. The indices were residualized for age, sex, tumour relative volume, laterality, and localization. Then repeated measures ANOVA was used to assess effects of tumour grade and frequency band on the indices of tumour-specific activity.
resultsTumour-specific indices of median ALFF, median fALFF, ReHo variability, and median DC were significantly greater in the slow-3 band (typically considered to reflect vascular signals of non-neural origin) compared to slower bands (typically considered to be coupled to neural activity). Trends towards larger ALFF variability and median ReHo indices in the slow-3 band, relative to slow-4, were also observed, along with a trend for low-grade gliomas (I & II) to express larger ALFF (median and variability indices), compared to grade III gliomas.
conclusionOur findings highlight the potential of rs-fMRI frequency-specific analysis in glioma research. The frequency band-dependent differences in spontaneous activity within tumour-infiltrated cortex might be indicative of vascular changes.
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