Frequency-specific Neural Synchrony Disruptions in Frontal Lobe Glioma: Novel Insights from a Large-scale Single-center Magnetoencephalography (MEG) Study
Abstract number :
1.268
Submission category :
3. Neurophysiology / 3D. MEG
Year :
2024
Submission ID :
1246
Source :
www.aesnet.org
Presentation date :
12/7/2024 12:00:00 AM
Published date :
Authors :
Presenting Author: Velmurugan Jayabal, MBBS, PhD – University of California San Francisco (UCSF)
Apisit Kaewsanit, MBBS – University of California San Francisco (UCSF)
Leighton Hinkley, PhD – University of California San Francisco (UCSF)
Kiwamu Kudo, PhD – UCSF
Anne Findlay, MA – University of California San Francisco (UCSF)
Heidi E. Kirsch, MD, MS – University of California San Francisco (UCSF)
mitchel berger, MD – University of California San Francisco (UCSF)
shawn hervey-jumper, MD – University of California San Francisco (UCSF)
Srikantan Nagarajan, PhD – University of California San Francisco (UCSF)
Rationale: Although prior research has highlighted a reciprocal relationship between neurons and glioma cells, the wider implications of tumors on global neural networks are still poorly understood. This study examines the impact of different molecular subtypes of glioma on neuronal activity across multiple frequency bands, exploring alterations in resting-state brain activity as measured by MEG
Methods: The study recorded resting-state brain activity from 150 patients diagnosed with gliomas confined to the frontal lobe (mean age:50.7±14.8years; 91male; 77left hemisphere tumors) and 101 age-and-gender-matched healthy controls at BIL, UCSF Medical Center. Local and long-range neuronal synchrony across multiple frequency bands were assessed at source-level using power spectral density, imaginary coherence, and aperiodic spectral slope. Nonparametric statistical analyses were conducted, both within-and-between-groups with multiple comparisons correction
Results: IDH-wild-type tumors demonstrate increased intrinsic connectivity in the frontal regions across most frequency bands, except beta, compared to IDH-mutant-type tumors. They also exhibit a steeper spectral slope (indicating a lower excitation-to-inhibition ratio) in the pre-central, post-central, and superior frontal areas, relative to IDH-mutant-type tumors and healthy controls (p< 0.05; Figure-1). Meanwhile, oligodendroglioma (WHO-Grade-2-3) has significantly reduced connectivity in the frontal, insular, and cingulate regions within the theta, alpha, and gamma bands, but not in the delta band, compared to astrocytoma (WHO-Grade-2-3).
Conclusions: These results suggest that IDH-wild-type tumors tend to have a higher excitation-to-inhibition ratio, indicating a potential for greater malignancy, higher tumor grade, and poorer prognosis. Conversely, among low-grade tumors, IDH-mutant oligodendrogliomas generally exhibit a lower excitation-to-inhibition ratio, which is associated with improved survival and a better prognosis compared to Grade 2-3 astrocytoma
Funding: NIH funding
Neurophysiology