[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …
research. The rapid technological development has encouraged researchers to apply …
Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations
Neuroimaging studies have allowed for non-invasive mapping of brain networks in brain
tumors. Although tumor core and edema are easily identifiable using standard MRI …
tumors. Although tumor core and edema are easily identifiable using standard MRI …
Neurodynamics
S Coombes, KCA Wedgwood - Texts in applied mathematics, 2023 - Springer
This is a book about 'Neurodynamics'. What we mean is that this is a book about how ideas
from dynamical systems theory have been developed and employed in recent years to give …
from dynamical systems theory have been developed and employed in recent years to give …
[HTML][HTML] The coupling between the spatial and temporal scales of neural processes revealed by a joint time-vertex connectome spectral analysis
Brain oscillations are produced by the coordinated activity of large groups of neurons and
different rhythms are thought to reflect different modes of information processing. These …
different rhythms are thought to reflect different modes of information processing. These …
Education in universities in the context of distance education
T Раkhomova, P Vasilieva, O Piddubtseva… - Journal of Higher …, 2022 - articlearchives.co
The aim of this work is to analyze the framework and approaches to the organization of
distance learning in schools and universities. To achieve this goal, the article used both …
distance learning in schools and universities. To achieve this goal, the article used both …
Robust Bayesian estimation of EEG-based brain causality networks
K Liu, Q Lai, P Li, Z Yu, B Xiao… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Objective: The multivariate autoregression (MVAR) model is an effective model to construct
brain causality networks. However, the accuracy of MVAR parameter estimation is …
brain causality networks. However, the accuracy of MVAR parameter estimation is …
Macroscale coupling between structural and effective connectivity in the mouse brain
Exploring how the emergent functional connectivity (FC) relates to the underlying anatomy
(structural connectivity, SC) is one of the major goals of modern neuroscience. At the …
(structural connectivity, SC) is one of the major goals of modern neuroscience. At the …
Prediction of misfolded proteins spreading in Alzheimer's disease using machine learning and spreading models
The pervasive impact of Alzheimer's disease on aging society represents one of the main
challenges at this time. Current investigations highlight 2 specific misfolded proteins in its …
challenges at this time. Current investigations highlight 2 specific misfolded proteins in its …
Altered higher-order coupling between brain structure and function with embedded vector representations of connectomes in schizophrenia
B Wang, M Guo, T Pan, Z Li, Y Li, J Xiang, X Cui… - Cerebral …, 2023 - academic.oup.com
It has been shown that the functional dependency of the brain exists in both direct and
indirect regional relationships. Therefore, it is necessary to map higher-order coupling in …
indirect regional relationships. Therefore, it is necessary to map higher-order coupling in …
Community detection in brain connectomes with hybrid quantum computing
Recent advancements in network neuroscience are pointing in the direction of considering
the brain as a small-world system with an efficient integration-segregation balance that …
the brain as a small-world system with an efficient integration-segregation balance that …