[图书][B] The oscillatory nature of language

E Murphy - 2020 - books.google.com
" Introduction There are numerous neurobiological models of language, ranging from those
concerned with speech perception, white matter structure, and the function of dorsal and …

Intact auditory cortical cross-frequency coupling in early and chronic schizophrenia

N Murphy, N Ramakrishnan, CP Walker… - Frontiers in …, 2020 - frontiersin.org
Background Previous work has identified a hierarchical organization of neural oscillations
that supports performance of complex cognitive and perceptual tasks, and can be indexed …

[HTML][HTML] Detecting brain network communities: Considering the role of information flow and its different temporal scales

LM Sanchez-Rodriguez, Y Iturria-Medina, P Mouches… - NeuroImage, 2021 - Elsevier
The identification of community structure in graphs continues to attract great interest in
several fields. Network neuroscience is particularly concerned with this problem considering …

Jointly fusing multi-scale spatial-logical brain networks: A neural decoding method

Z Li, Z Zhu, Q Li, X Wu - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Functional magnetic resonance imaging (fMRI) is a methodology for measuring human brain
activities. It has become more and more popular in neural decoding due to its noninvasive …

Estimation of global and local complexities of brain networks: A random walks approach

RC Sotero, LM Sanchez-Rodriguez, N Moradi… - Network …, 2020 - direct.mit.edu
The complexity of brain activity has been observed at many spatial scales and has been
proposed to differentiate between mental states and disorders. Here we introduced a new …

Improving fMRI-based Autism Spectrum Disorder Classification with Random Walks-informed Feature Extraction and Selection

RC Sotero, JM Sanchez-Bornot… - Proceedings of the 2023 …, 2023 - dl.acm.org
Functional magnetic resonance imaging (fMRI) is a non-invasive technique measuring brain
activity by detecting blood flow changes, enabling the study of cognitive processes and brain …

[PDF][PDF] A method for multiscale community detection in brain networks

LM Sanchez-Rodriguez, YM Iturria-Medina… - BioRxiv …, 2019 - scholar.archive.org
The identification of community structure in graphs continues to attract great interest in
several fields. Network neuroscience is particularly concerned with this problem considering …

[PDF][PDF] Revealing brain network communities with empirical mode decomposition and k-modes clustering

Effective community detection in the brain is critical for gaining insights into the processes of
functional segregation and integration of information [1]. Works aiming at unveiling …