Reorganization of brain networks in aging: A review of functional connectivity studies.
Frontiers in Psychology, 2015 Healthy aging (HA) is associated with certain declines in cognitive functions, even in individuals that are free of any process of degenerative illness.
Roser eSala-Llonch +2 more
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Frontiers in Cell and Developmental Biology, 2021 Mild cognitive impairment (MCI) is generally considered to be a key indicator for predicting the early progression of Alzheimer’s disease (AD). Currently, the brain connection (BC) estimated by fMRI data has been validated to be an effective diagnostic ...
Weikai Li +8 more
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Exercise Training and Functional Connectivity Changes in Mild Cognitive Empairment and Healthy Elders [PDF]
, 2016 Background: Effective interventions are needed to improve brain function in mild cognitive impairment (MCI), an early stage of Alzheimer’s disease (AD).
Alfini, Alfonso J. +5 more
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Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification [PDF]
, 2017 Recent advances in network modelling techniques have enabled the study of neurological disorders at a whole-brain level based on functional connectivity inferred from resting-state magnetic resonance imaging (rs-fMRI) scan possible. However, constructing a directed effective connectivity, which provides a more comprehensive characterization of ...
Yang, Li +7 more
openaire +2 more sources
Tectonic interpretation of the connectivity of a multiscale fracture system in limestone [PDF]
, 2016 This paper studies the statistics and tectonism of a multiscale natural fracture system in limestone. The fracture network exhibits a self‐similar characteristic with a correlation between its power law length exponent a and fractal dimension D, i.e., a ≈
Lei, Q, Wang, X
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Estimating effective connectivity in linear brain network models
, 2017 Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring from measure data, chiefly functional Magnetic Resonance Imaging (fMRI ...
Bertoldo, Alessandra +3 more
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Longitudinal prognosis of Parkinson’s outcomes using causal connectivity
NeuroImage: ClinicalDespite the prevalence of Parkinson’s disease (PD), there are no clinically-accepted neuroimaging biomarkers to predict the trajectory of motor or cognitive decline or differentiate Parkinson’s disease from atypical progressive parkinsonian diseases ...
Cooper J. Mellema +7 more
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Classification-based prediction of effective connectivity between timeseries with a realistic cortical network model [PDF]
, 2018 Effective connectivity measures the pattern of causal interactions between brain regions. Traditionally, these patterns of causality are inferred from brain recordings using either non-parametric, i.e., model-free, or parametric, i.e., model-based ...
Avesani, Paolo +4 more
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Shaping functional architecture by oscillatory alpha activity: gating by inhibition
Frontiers in Human Neuroscience, 2010 In order to understand the working brain as a network, it is essential to identify the mechanisms by which information is gated between regions. We here propose that information is gated by inhibiting task-irrelevant regions, thus routing information to ...
Ole Jensen, Ali Mazaheri
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In vivo-assessment of the human temporal network: Evidence for asymmetrical effective connectivity
NeuroImage, 2020 The human temporal lobe is a multimodal association area which plays a key role in various aspects of cognition, particularly in memory formation and spatial navigation.
Yulia Novitskaya +4 more
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