Fundamentals of computational psychophysiology: Theory and methodology
B Hu, J Shen, L Zhu, Q Dong, H Cai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Welcome to the second issue of IEEE Transactions on Computational Social Systems
(TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning …
(TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning …
Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics
W Zheng, H Liu, Z Li, K Li, Y Wang, B Hu… - CNS Neuroscience …, 2023 - Wiley Online Library
Background Alzheimer's disease (AD) is a neurodegenerative disease characterized by
progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high …
progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high …
Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS databases
Biomarker assisted preclinical/early detection and intervention in Alzheimer's disease (AD)
may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is …
may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is …
[HTML][HTML] Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer's Disease
Background Alzheimer's disease (AD) is associated with marked brain atrophy. While
commonly used structural MRI imaging methods do not account for the complexity of human …
commonly used structural MRI imaging methods do not account for the complexity of human …
Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability
Mentalising ability, indexed as the ability to understand others' beliefs, feelings, intentions,
thoughts and traits, is a pivotal and fundamental component of human social cognition …
thoughts and traits, is a pivotal and fundamental component of human social cognition …
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition
Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure
alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity …
alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity …
Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population based on Brain Age Estimation
W Liu, Q Dong, S Sun, J Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases in the
world. To reduce the incidence of AD, it's essential to quantify the AD conversion risk of mild …
world. To reduce the incidence of AD, it's essential to quantify the AD conversion risk of mild …
Analysis of hippocampus evolution patterns and prediction of conversion in mild cognitive impairment using multivariate Morphometry Statistics
L Zhang, Y Fu, Z Zhao, Z Cong… - Journal of …, 2022 - content.iospress.com
Background: Mild cognitive impairment (MCI), which is generally regarded as the prodromal
stage of Alzheimer's disease (AD), is associated with morphological changes in brain …
stage of Alzheimer's disease (AD), is associated with morphological changes in brain …
Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons with and without Significant Amyloid Plaques
Background: Amyloid-β (Aβ) plaques play a pivotal role in Alzheimer's disease. The current
positron emission tomography (PET) is expensive and limited in availability. In contrast …
positron emission tomography (PET) is expensive and limited in availability. In contrast …
Correlation Studies of Hippocampal Morphometry and Plasma NFL Levels in Cognitively Unimpaired Subjects
Alzheimer's disease (AD) is a burden to the society and family. Applying computing-aided
strategies to reveal its pathology is one of the research highlights. Plasma neurofilament …
strategies to reveal its pathology is one of the research highlights. Plasma neurofilament …