Deep learning for brain age estimation: A systematic review
Abstract Over the years, Machine Learning models have been successfully employed on
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …
neuroimaging data for accurately predicting brain age. Deviations from the healthy brain …
A review of publicly available automatic brain segmentation methodologies, machine learning models, recent advancements, and their comparison
Background: The noninvasive study of the structure and functions of the brain using
neuroimaging techniques is increasingly being used for its clinical and research …
neuroimaging techniques is increasingly being used for its clinical and research …
Enhanced Harris hawks optimization-based fuzzy k-nearest neighbor algorithm for diagnosis of Alzheimer's disease
Q Zhang, J Sheng, Q Zhang, L Wang, Z Yang… - Computers in Biology …, 2023 - Elsevier
In order to stop deterioration and give patients with Alzheimer's disease (AD) early therapy, it
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
[HTML][HTML] Sex difference in tDCS current mediated by changes in cortical anatomy: A study across young, middle and older adults
S Bhattacharjee, R Kashyap, AM Goodwill, BA O'Brien… - Brain stimulation, 2022 - Elsevier
Introduction The observed variability in the effects of transcranial direct current stimulation
(tDCS) is influenced by the amount of current reaching the targeted region-of-interest (ROI) …
(tDCS) is influenced by the amount of current reaching the targeted region-of-interest (ROI) …
Brain morphological dynamics of procrastination: The crucial role of the self-control, emotional, and episodic prospection network
Globally, about 17% individuals are suffering from the maladaptive procrastination until now,
which impacts individual's financial status, mental health, and even public policy. However …
which impacts individual's financial status, mental health, and even public policy. However …
A survey on classification algorithms of brain images in Alzheimer's disease based on feature extraction techniques
Alzheimer's disease (AD) is one of the most serious neurological disorders for elderly
people. AD affected patient experiences severe memory loss. One of the main reasons for …
people. AD affected patient experiences severe memory loss. One of the main reasons for …
[HTML][HTML] Brain structure changes associated with sexual orientation
Biological sex differences in brain function and structure are reliably associated with several
cortico-subcortical brain regions. While sexual orientation (hetero-versus homosexuality) …
cortico-subcortical brain regions. While sexual orientation (hetero-versus homosexuality) …
[HTML][HTML] A systematic comparison of VBM pipelines and their application to age prediction
Voxel-based morphometry (VBM) analysis is commonly used for localized quantification of
gray matter volume (GMV). Several alternatives exist to implement a VBM pipeline …
gray matter volume (GMV). Several alternatives exist to implement a VBM pipeline …
[HTML][HTML] Cocaine destroys gray matter brain cells and accelerates brain aging
I Beheshti - Biology, 2023 - mdpi.com
Simple Summary The consumption of cocaine is linked to a range of detrimental outcomes,
including addiction, cognitive deficits, and an elevated risk of developing psychiatric …
including addiction, cognitive deficits, and an elevated risk of developing psychiatric …
Recovery of cortical volume and thickness after remission from acute anorexia nervosa
K Nickel, A Joos, L Tebartz van Elst… - … Journal of Eating …, 2018 - Wiley Online Library
Objective Reduced grey (GM) and white matter (WM) volumes and increased cerebrospinal
fluid (CSF) have been frequently reported in anorexia nervosa (AN), but studies focusing on …
fluid (CSF) have been frequently reported in anorexia nervosa (AN), but studies focusing on …