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Subcortical contributions to large-scale network communication
Higher brain function requires integration of distributed neuronal activity across large-scale
brain networks. Recent scientific advances at the interface of subcortical brain anatomy and …
brain networks. Recent scientific advances at the interface of subcortical brain anatomy and …
Structural and functional connectivity of the precuneus and thalamus to the default mode network
SI Cunningham, D Tomasi, ND Volkow - Human brain map**, 2017 - Wiley Online Library
Neuroimaging studies have identified functional interactions between the thalamus,
precuneus, and default mode network (DMN) in studies of consciousness. However, less is …
precuneus, and default mode network (DMN) in studies of consciousness. However, less is …
Clinical neurorehabilitation: using principles of neurological diagnosis, prognosis, and neuroplasticity in assessment and treatment planning
DI Katz, B Dwyer - Seminars in Neurology, 2021 - thieme-connect.com
Neurorehabilitation aspires to restore a person to his or her fullest potential after incurring
neurological dysfunction. In medical rehabilitation, diagnosis involves assessment of …
neurological dysfunction. In medical rehabilitation, diagnosis involves assessment of …
Classification of adolescent major depressive disorder via static and dynamic connectivity
This paper introduces an approach for classifying adolescents suffering from MDD using
resting-state fMRI. Accurate diagnosis of MDD involves interviews with adolescent patients …
resting-state fMRI. Accurate diagnosis of MDD involves interviews with adolescent patients …
Altered temporal organization of brief spontaneous brain activities in patients with Alzheimer's disease
X Ma, Z Zhuo, L Wei, Z Ma, Z Li, H Li… - Neuroscience, 2020 - Elsevier
The alterations of dynamic brain functions in Alzheimer's disease (AD) remain far from well
understood. In this study, using functional magnetic resonance imaging (fMRI) data, we …
understood. In this study, using functional magnetic resonance imaging (fMRI) data, we …
[HTML][HTML] fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations
Deep-learning methods based on deep neural networks (DNNs) have recently been
successfully utilized in the analysis of neuroimaging data. A convolutional neural network …
successfully utilized in the analysis of neuroimaging data. A convolutional neural network …
Altered functional connectivity and topological organization of brain networks correlate to cognitive impairments after sleep deprivation
Y Ning, S Zheng, S Feng, K Li, H Jia - Nature and Science of Sleep, 2022 - Taylor & Francis
Introduction Sleep deprivation (SD) has a detrimental effect on cognitive functions.
Numerous studies have indicated the mechanisms underlying cognitive impairments after …
Numerous studies have indicated the mechanisms underlying cognitive impairments after …
Echoes from intrinsic connectivity networks in the subcortex
Decades of research have greatly improved our understanding of intrinsic human brain
organization in terms of functional networks and the transmodal hubs within the cortex at …
organization in terms of functional networks and the transmodal hubs within the cortex at …
[HTML][HTML] Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI
This paper presents a novel approach for classifying obsessive-compulsive disorder (OCD)
in adolescents from resting-state fMRI data. Currently, the state-of-the-art for diagnosing …
in adolescents from resting-state fMRI data. Currently, the state-of-the-art for diagnosing …
Functional connectivity hubs and networks in the awake marmoset brain
In combination with advances in analytical methods, resting-state fMRI is allowing
unprecedented access to a better understanding of the network organization of the brain …
unprecedented access to a better understanding of the network organization of the brain …