Thalamic pathology and memory loss in early Alzheimer's disease: moving the focus from the medial temporal lobe to Papez circuit

JP Aggleton, A Pralus, AJD Nelson, M Hornberger - Brain, 2016 - academic.oup.com
It is widely assumed that incipient protein pathology in the medial temporal lobe instigates
the loss of episodic memory in Alzheimer's disease, one of the earliest cognitive deficits in …

Hyperconnectivity is a fundamental response to neurological disruption.

FG Hillary, CA Roman, U Venkatesan… - …, 2015 - psycnet.apa.org
Objective: In the cognitive and clinical neurosciences, the past decade has been marked by
dramatic growth in a literature examining brain “connectivity” using noninvasive methods …

SARS-CoV-2 infection in hamsters and humans results in lasting and unique systemic perturbations after recovery

JJ Frere, RA Serafini, KD Pryce, M Zazhytska… - Science translational …, 2022 - science.org
The host response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
infection can result in prolonged pathologies collectively referred to as post-acute sequalae …

Disrupted functional brain connectome in individuals at risk for Alzheimer's disease

J Wang, X Zuo, Z Dai, M Xia, Z Zhao, X Zhao, J Jia… - Biological …, 2013 - Elsevier
BACKGROUND: Alzheimer's disease disrupts the topological architecture of whole-brain
connectivity (ie, the connectome); however, whether this disruption is present in amnestic …

Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease

A Khazaee, A Ebrahimzadeh… - Brain imaging and …, 2016 - Springer
The study of brain networks by resting-state functional magnetic resonance imaging (rs-
fMRI) is a promising method for identifying patients with dementia from healthy controls …

Identification of MCI individuals using structural and functional connectivity networks

CY Wee, PT Yap, D Zhang, K Denny, JN Browndyke… - Neuroimage, 2012 - Elsevier
Different imaging modalities provide essential complementary information that can be used
to enhance our understanding of brain disorders. This study focuses on integrating multiple …

Deep learning of static and dynamic brain functional networks for early MCI detection

TE Kam, H Zhang, Z Jiao, D Shen - IEEE transactions on …, 2019 - ieeexplore.ieee.org
While convolutional neural network (CNN) has been demonstrating powerful ability to learn
hierarchical spatial features from medical images, it is still difficult to apply it directly to …

Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease

Y Liu, C Yu, X Zhang, J Liu, Y Duan… - Cerebral …, 2014 - academic.oup.com
Alzheimer's disease (AD) is increasingly recognized as a disconnection syndrome, which
leads to cognitive impairment due to the disruption of functional activity across large …

Disrupted small-world brain networks in moderate Alzheimer's disease: a resting-state FMRI study

X Zhao, Y Liu, X Wang, B Liu, Q Xi, Q Guo, H Jiang… - PloS one, 2012 - journals.plos.org
The small-world organization has been hypothesized to reflect a balance between local
processing and global integration in the human brain. Previous multimodal imaging studies …

Hyper-connectivity of functional networks for brain disease diagnosis

B Jie, CY Wee, D Shen, D Zhang - Medical image analysis, 2016 - Elsevier
Exploring structural and functional interactions among various brain regions enables better
understanding of pathological underpinnings of neurological disorders. Brain connectivity …