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Small-world brain networks revisited
It is nearly 20 years since the concept of a small-world network was first quantitatively
defined, by a combination of high clustering and short path length; and about 10 years since …
defined, by a combination of high clustering and short path length; and about 10 years since …
[HTML][HTML] Multi-scale brain networks
The network architecture of the human brain has become a feature of increasing interest to
the neuroscientific community, largely because of its potential to illuminate human cognition …
the neuroscientific community, largely because of its potential to illuminate human cognition …
Stationary wavelet transform based ECG signal denoising method
Electrocardiogram (ECG) signals are used to diagnose cardiovascular diseases. During
ECG signal acquisition, various noises like power line interference, baseline wandering …
ECG signal acquisition, various noises like power line interference, baseline wandering …
Statistical harmonization corrects site effects in functional connectivity measurements from multi‐site fMRI data
Acquiring resting‐state functional magnetic resonance imaging (fMRI) datasets at multiple
MRI scanners and clinical sites can improve statistical power and generalizability of results …
MRI scanners and clinical sites can improve statistical power and generalizability of results …
Childhood trauma history is linked to abnormal brain connectivity in major depression
Patients with major depressive disorder (MDD) present with heterogeneous symptom
profiles, while neurobiological mechanisms are still largely unknown. Brain network studies …
profiles, while neurobiological mechanisms are still largely unknown. Brain network studies …
Redefining droughts for the US Corn Belt: The dominant role of atmospheric vapor pressure deficit over soil moisture in regulating stomatal behavior of Maize and …
Abstract The US Corn Belt, the world's biggest production region for corn and soybean
combined, is prone to droughts. Currently 92% of the US Corn Belt croplands are rainfed …
combined, is prone to droughts. Currently 92% of the US Corn Belt croplands are rainfed …
Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new …
Many recent studies propose wavelet-based hydrological and water resources forecasting
models that have been incorrectly developed and that cannot properly be used for real …
models that have been incorrectly developed and that cannot properly be used for real …
[HTML][HTML] Arrhythmia classification using multirate processing metaheuristic optimization and variational mode decomposition
The concept of mobile healthcare systems is promising. It is based on the cloud connected
wireless biomedical wearables. In this scenario, the compression, processing, transmission …
wireless biomedical wearables. In this scenario, the compression, processing, transmission …
Positive affect, surprise, and fatigue are correlates of network flexibility
Advances in neuroimaging have made it possible to reconstruct functional networks from the
activity patterns of brain regions distributed across the cerebral cortex. Recent work has …
activity patterns of brain regions distributed across the cerebral cortex. Recent work has …
[HTML][HTML] Modeling and interpreting mesoscale network dynamics
Recent advances in brain imaging techniques, measurement approaches, and storage
capacities have provided an unprecedented supply of high temporal resolution neural data …
capacities have provided an unprecedented supply of high temporal resolution neural data …