Publications by authors named "Shanna D Kulik"
Many patients with glioma, primary brain tumors, suffer from poorly understood executive functioning deficits before and/or after tumor resection. We aimed to test whether frontoparietal network centrality of multilayer networks, allowing for integration across multiple frequencies, relates to and predicts executive functioning in glioma. Patients with glioma (n = 37) underwent resting-state magnetoencephalography and neuropsychological tests assessing word fluency, inhibition, and set shifting before (T1) and one year after tumor resection (T2).
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- Gliomas tend to appear more frequently in brain regions with naturally higher intrinsic activity, as shown by increased spiking activity leading to faster tumor growth in animal studies.
- The study involved 413 patients and analyzed brain activity through resting-state magnetoencephalography, focusing on parameters like broadband power and aperiodic components, which relate to neuronal function.
- Findings indicate that gliomas are correlated with higher intrinsic brain activity in certain regions, and this activity at specific tumor locations varies based on tumor and patient characteristics.
Background: A common problem in resting-state neuroimaging studies is that subjects become drowsy or fall asleep. Although this could drastically affect neurophysiological measurements, such as magnetoencephalography (MEG), its specific impact remains understudied. We aimed to systematically investigate how often drowsiness is present during resting-state MEG recordings, and how the state changes alter quantitative estimates of oscillatory activity, functional connectivity, and network topology.
View Article and Find Full Text PDFMultiple sclerosis (MS) features extensive connectivity changes, but how structural and functional connectivity relate, and whether this relation could be a useful biomarker for cognitive impairment in MS is unclear. This study included 79 MS patients and 40 healthy controls (HCs). Patients were classified as cognitively impaired (CI) or cognitively preserved (CP).
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- Glioma patients exhibit increased global brain network clustering, which is linked to poorer cognitive function and higher rates of epilepsy.
- The study analyzed brain network clustering in 71 glioma patients using magnetoencephalography, revealing that while patients showed greater overall clustering than controls, there was no difference between tumor and non-tumor regions, and clustering did not change with distance from the tumor.
- Findings suggest that gliomas may be preferentially located in areas with lower clustering in healthy individuals, indicating that the disruption of brain networks is widespread and not confined to the tumor's immediate surroundings.
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- Cognitive decline in multiple sclerosis (MS) patients is challenging to predict as structural brain damage alone doesn't account for the variability among patients.
- This study aimed to see if measuring functional brain network organization through magnetoencephalography (MEG) can better predict cognitive decline in MS patients over five years, beyond just looking at physical brain damage.
- Results showed that a more integrated beta band network and a less integrated delta band network were both linked to cognitive decline, suggesting that these functional brain network measures could serve as valuable predictors for disease progression in MS.
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- Postoperative oscillatory brain activity in glioma patients has been linked to progression-free survival (PFS), showing that higher brain activity can indicate shorter PFS.
- A study analyzed 27 glioma patients and found that greater broadband power correlated with a more rapid deterioration in PFS, even after accounting for established risk factors.
- These results suggest that assessing brain activity could enhance prediction models for PFS in glioma patients, offering potential insights beyond traditional prognostic indicators.