Subcortical contributions to large-scale network communication

PT Bell, JM Shine - Neuroscience & Biobehavioral Reviews, 2016 - Elsevier
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 …

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 …

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 …

Classification of adolescent major depressive disorder via static and dynamic connectivity

B Sen, KR Cullen, KK Parhi - IEEE Journal of Biomedical and …, 2020 - ieeexplore.ieee.org
This paper introduces an approach for classifying adolescents suffering from MDD using
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 …

[HTML][HTML] fMRI volume classification using a 3D convolutional neural network robust to shifted and scaled neuronal activations

H Vu, HC Kim, M Jung, JH Lee - NeuroImage, 2020 - Elsevier
Deep-learning methods based on deep neural networks (DNNs) have recently been
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 …

Echoes from intrinsic connectivity networks in the subcortex

JM Groot, S Miletic, SJS Isherwood… - Journal of …, 2023 - jneurosci.org
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 …

[HTML][HTML] Sub-graph entropy based network approaches for classifying adolescent obsessive-compulsive disorder from resting-state functional MRI

B Sen, GA Bernstein, BA Mueller, KR Cullen… - NeuroImage: Clinical, 2020 - Elsevier
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 …

Functional connectivity hubs and networks in the awake marmoset brain

AM Belcher, CCC Yen, L Notardonato… - Frontiers in Integrative …, 2016 - frontiersin.org
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 …