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 …

Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2017 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …

[HTML][HTML] Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?

C Hohenfeld, CJ Werner, K Reetz - NeuroImage: Clinical, 2018 - Elsevier
Biomarkers in whichever modality are tremendously important in diagnosing of disease,
tracking disease progression and clinical trials. This applies in particular for disorders with a …

The basal forebrain regulates global resting-state fMRI fluctuations

J Turchi, C Chang, QY Frank, BE Russ, KY David… - Neuron, 2018 - cell.com
Patterns of spontaneous brain activity, typically measured in humans at rest with fMRI, are
used routinely to assess the brain's functional organization. The mechanisms that generate …

Spatial-temporal dependency modeling and network hub detection for functional MRI analysis via convolutional-recurrent network

M Wang, C Lian, D Yao, D Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Early identification of dementia at the stage of mild cognitive impairment (MCI) is crucial for
timely diagnosis and intervention of Alzheimer's disease (AD). Although several pioneering …

Early versus late MCI: Improved MCI staging using a neuropsychological approach

EC Edmonds, CR McDonald, A Marshall… - Alzheimer's & …, 2019 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) separates
“early” and “late” mild cognitive impairment (MCI) based on a single memory test. We …

Detection of Alzheimer's disease by displacement field and machine learning

Y Zhang, S Wang - PeerJ, 2015 - peerj.com
Aim. Alzheimer's disease (AD) is a chronic neurodegenerative disease. Recently, computer
scientists have developed various methods for early detection based on computer vision …

Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data

T Jitsuishi, A Yamaguchi - Scientific Reports, 2022 - nature.com
The intervention at the stage of mild cognitive impairment (MCI) is promising for preventing
Alzheimer's disease (AD). This study aims to search for the optimal machine learning (ML) …

Detection of Alzheimer's disease by three-dimensional displacement field estimation in structural magnetic resonance imaging

S Wang, Y Zhang, G Liu, P Phillips… - Journal of Alzheimer's …, 2016 - content.iospress.com
Background: Within the past decade, computer scientists have developed many methods
using computer vision and machine learning techniques to detect Alzheimer's disease (AD) …

Altered functional brain networks in amnestic mild cognitive impairment: a resting-state fMRI study

S Cai, T Chong, Y Peng, W Shen, J Li… - Brain imaging and …, 2017 - Springer
Amnestic mild cognitive impairment MCI (aMCI) has a high progression to Alzheimer's
disease (AD). Recently, resting-state functional MRI (RS-fMRI) has been increasingly …