[HTML][HTML] Dump the “dimorphism”: Comprehensive synthesis of human brain studies reveals few male-female differences beyond size

L Eliot, A Ahmed, H Khan, J Patel - Neuroscience & Biobehavioral Reviews, 2021 - Elsevier
With the explosion of neuroimaging, differences between male and female brains have been
exhaustively analyzed. Here we synthesize three decades of human MRI and postmortem …

Brain atrophy in Alzheimer's disease and aging

L Pini, M Pievani, M Bocchetta, D Altomare… - Ageing research …, 2016 - Elsevier
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Advantages of using both voxel-and surface-based morphometry in cortical morphology analysis: a review of various applications

M Goto, O Abe, A Hagiwara, S Fujita… - Magnetic resonance in …, 2022 - jstage.jst.go.jp
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …

Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment

G Lombardi, G Crescioli, E Cavedo… - Cochrane Database …, 2020 - cochranelibrary.com
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …

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 …

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 - journals.sagepub.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) …

Olfactory dysfunction predicts disease progression in Parkinson's disease: a longitudinal study

R He, Y Zhao, Y He, Y Zhou, J Yang, X Zhou… - Frontiers in …, 2020 - frontiersin.org
Background and Objective: Olfactory dysfunction (hyposmia) is an important non-motor
symptom of Parkinson's disease (PD). To investigate the potential prognostic value of …

Combining multiple anatomical MRI measures improves Alzheimer's disease classification

F de Vos, TM Schouten, A Hafkemeijer… - Human brain …, 2016 - Wiley Online Library
Several anatomical MRI markers for Alzheimer's disease (AD) have been identified.
Hippocampal volume, cortical thickness, and grey matter density have been used …

Genetic influences on the development of cerebral cortical thickness during childhood and adolescence in a Dutch longitudinal twin sample: the brainscale study

J Teeuw, RM Brouwer, MMG Koenis… - Cerebral …, 2019 - academic.oup.com
Previous studies have demonstrated that cortical thickness (CT) is under strong genetic
control across the life span. However, little is known about genetic influences that cause …

Brain properties predict proximity to symptom onset in sporadic Alzheimer's disease

JW Vogel, E Vachon-Presseau, A Pichet Binette, A Tam… - Brain, 2018 - academic.oup.com
Abstract See Tijms and Visser (doi: 10.1093/brain/awy113) for a scientific commentary on
this article. Alzheimer's disease is preceded by a lengthy 'preclinical'stage spanning many …