RT info:eu-repo/semantics/article
T1 Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer’s disease
A1 Rodríguez González, Víctor
A1 Núñez Novo, Pablo
A1 Gómez Peña, Carlos
A1 Hoshi, Hideyuki
A1 Shigihara, Yoshihito
A1 Hornero Sánchez, Roberto
A1 Poza Crespo, Jesús
K1 Neurology
K1 Alzheimer
K1 Connectivity-based Meta-Bands (CMB)
K1 Connectivity
K1 Alzheimer’s disease (AD)
K1 Metabandas basadas en conectividad (CMB)
K1 Conectividad
K1 Enfermedad de Alzheimer (EA)
K1 3205.07 Neurología
AB Mild cognitive impairment (MCI) and dementia due to Alzheimer’s disease (AD) are neurological disorders that affect cognition, brain function, and memory. Magnetoencephalography (MEG) is a neuroimaging technique used to study changes in brain oscillations caused by neural pathologies. However, MEG studies often use fixed frequency bands, assuming a common frequency structure and overlooking both subject-specific variations and the potential influence of pathologies on frequency distribution. To address this issue, a novel methodology called Connectivity-based Meta-Bands (CMB) was applied to obtain a subject-specific functional connectivity-based frequency bands segmentation. Resting-state MEG activity was acquired from 161 participants: 67 healthy controls, 44 MCI patients, and 50 AD patients. The CMB algorithm was used to identify “meta-bands” (i.e., recurrent network topologies across frequencies). The meta-bands were used to extract an individualised frequency band segmentation. The network topology of the meta-bands and their sequencing were analysed to identify alterations associated with MCI and AD in the underlying frequency-dependent connectivity structure. We found that MCI and AD alter the neural network topology, leading to connectivity patterns both more widespread in the frequency spectrum and heterogeneous. Furthermore, the meta-band frequency sequencing was modified, with MCI and AD patients exhibiting sequences with increased complexity, suggesting a progressive dilution of the frequency structure. The study highlights the relevance of considering the impact of neural pathologies on the frequency-dependent connectivity structure and the potential bias introduced by using fixed frequency bands in MEG studies.
PB Elsevier
SN 1746-8094
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/62563
UL https://uvadoc.uva.es/handle/10324/62563
LA eng
NO Biomedical Signal Processing and Control, 2024, vol. 87, Part A, 105512
NO Producción Científica
DS UVaDOC
RD 15-may-2024