Advantages of using both voxel-and surface-based morphometry in cortical morphology analysis: a review of various applications
In addition, we introduce two other recent methods as future directions for estimating cortical
morphological changes: a multi-modal parcellation method using structural and functional …
morphological changes: a multi-modal parcellation method using structural and functional …
A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions
Background: Neuroimage analysis has made it possible to perform various anatomical
analyses of the brain regions and helps detect different brain conditions/disorders. Recently …
analyses of the brain regions and helps detect different brain conditions/disorders. Recently …
Multi-scale enhanced graph convolutional network for mild cognitive impairment detection
As an early stage of Alzheimer's disease (AD), mild cognitive impairment (MCI) is able to be
detected by analyzing the brain connectivity networks. For this reason, we devise a new …
detected by analyzing the brain connectivity networks. For this reason, we devise a new …
Graph convolution network with similarity awareness and adaptive calibration for disease-induced deterioration prediction
Graph convolution networks (GCN) have been successfully applied in disease prediction
tasks as they capture interactions (ie, edges and edge weights on the graph) between …
tasks as they capture interactions (ie, edges and edge weights on the graph) between …
A practical Alzheimer's disease classifier via brain imaging-based deep learning on 85,721 samples
Beyond detecting brain lesions or tumors, comparatively little success has been attained in
identifying brain disorders such as Alzheimer's disease (AD), based on magnetic resonance …
identifying brain disorders such as Alzheimer's disease (AD), based on magnetic resonance …
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T
Fully-quantitative MR imaging methods are useful for longitudinal characterization of
disease and assessment of treatment efficacy. However, current quantitative MRI protocols …
disease and assessment of treatment efficacy. However, current quantitative MRI protocols …
Grey matter volume increase following electroconvulsive therapy in patients with late life depression: a longitudinal MRI study
F Bouckaert, FL De Winter, L Emsell, A Dols… - Journal of Psychiatry and …, 2016 - jpn.ca
Background: The evidence on the mechanisms of action of electroconvulsive therapy (ECT)
has grown over the past decades. Recent studies show an ECT-related increase in …
has grown over the past decades. Recent studies show an ECT-related increase in …
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 …
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
In this study, we investigate multi-scale features extracted from baseline structural magnetic
resonance imaging (MRI) for classifying patients with mild cognitive impairment (MCI), who …
resonance imaging (MRI) for classifying patients with mild cognitive impairment (MCI), who …
Changes in the topological organization of the default mode network in autism spectrum disorder
Neuroimaging studies have demonstrated that autism spectrum disorder (ASD) is
accompanied by abnormal functional and structural features in specific brain regions of the …
accompanied by abnormal functional and structural features in specific brain regions of the …