Frequency-specific resting state fMRI features in gliomas
Mel’nikov M.Y. Shakhzadayev R. Baiturlin Z. Batyrkhanov D. Arman D. Berdibayeva D. Zholdassova M. Kalmagambetov D. Solodovnikov M. Doskaliyev A. Mitchell D.J. Akshulakov S. Kustubayeva A.
February 2026Springer
Journal of Neuro-Oncology
2026#176Issue 3
Purpose: Resting-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. Methods: Forty-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. Results: Tumour-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. Conclusion: Our 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.
Amplitude of low-frequency fluctuations (ALFF) , Degree centrality (DC) , fractional ALFF (fALFF) , Glioma , Regional homogeneity (ReHo)
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Department of Biophysics, Biomedicine, and Neuroscience, Al-Farabi Kazakh National University, Almaty, Kazakhstan
Brain Institute, Al-Farabi Kazakh National University, Almaty, Kazakhstan
JSC “National Center for Neurosurgery”, Department of Radiology and Radiosurgery, Astana, Kazakhstan
School of Information Technology and Engineering, Kazakh-British Technical University, Almaty, Kazakhstan
JSC “National Center for Neurosurgery”, Astana, Kazakhstan
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
Department of Biophysics
Brain Institute
JSC “National Center for Neurosurgery”
School of Information Technology and Engineering
JSC “National Center for Neurosurgery”
MRC Cognition and Brain Sciences Unit
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