AIMC Topic: White Matter
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The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Humans
Machine Learning
Atrophy
Cerebral Small Vessel Diseases
Aging
Middle Aged
Disease Progression
Cognitive Dysfunction
Aged, 80 and over
Biomarkers
Young Adult
Brain
Adult
Female
Male
Aged
Amyloid beta-Peptides
Image Processing, Computer-Assisted
White Matter
Magnetic Resonance Imaging
Neuropsychological Tests
MRI-visible dilated perivascular spaces in healthy young adults: A twin heritability study.
Human brain mapping
Sep 8, 2020
We investigated the narrow-sense heritability of MRI-visible dilated perivascular spaces (dPVS) in healthy young adult twins and nontwin siblings (138 monozygotic, 79 dizygotic twin pairs, and 133 nontwin sibling pairs; 28.7 ± 3.6 years) from the Hum...
Progressive Multiple Sclerosis Transcriptome Deconvolution Indicates Increased M2 Macrophages in Inactive Lesions.
European neurology
Aug 28, 2020
Accumulating evidence suggests M2 macrophages contribute to tissue reparation and limit inflammation in multiple sclerosis (MS). However, most studies have focused on murine models without substantial support through human MS observations. The presen...
A deep learning-based method for improving reliability of multicenter diffusion kurtosis imaging with varied acquisition protocols.
Magnetic resonance imaging
Aug 18, 2020
Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since both varying hardware and software across different centers cause unavoidable data heterogeneity across centers, its impact on reliability in study outc...
Structural characterization of the Extended Frontal Aslant Tract trajectory: A ML-validated laterality study in 3T and 7T.
NeuroImage
Aug 13, 2020
The Extended Frontal Aslant Tract (exFAT) is a recently described tractography-based extension of the Frontal Aslant Tract connecting Broca's territory to both supplementary and pre-supplementary motor areas, and more anterior prefrontal regions. In ...
Personalized connectome fingerprints: Their importance in cognition from childhood to adult years.
NeuroImage
Jul 4, 2020
Structural neural network architecture patterns in the human brain could be related to individual differences in phenotype, behavior, genetic determinants, and clinical outcomes from neuropsychiatric disorders. Recent studies have indicated that a pe...
Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE.
NeuroImage. Clinical
Jun 30, 2020
The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, ...
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage
May 31, 2020
Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important that the WM tracts can be accurately and reproducibly characterized fr...
Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions.
Annals of clinical and translational neurology
Apr 18, 2020
OBJECTIVE: Multiple sclerosis (MS) lesions are heterogeneous with regard to inflammation, demyelination, axonal injury, and neuronal loss. We previously developed a diffusion basis spectrum imaging (DBSI) technique to better address MS lesion heterog...
Network topology and machine learning analyses reveal microstructural white matter changes underlying Chinese medicine Dengzhan Shengmai treatment on patients with vascular cognitive impairment.
Pharmacological research
Mar 31, 2020
With the increasing incidence of cerebrovascular diseases and dementia, considerable efforts have been made to develop effective treatments on vascular cognitive impairment (VCI), among which accumulating practice-based evidence has shown great poten...
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