Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Y Chen, Y Wang, Z Song, Y Fan, T Gao… - Ageing Research Reviews, 2023 - Elsevier
Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals.
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Subjective cognitive decline (SCD), mild cognitive impairment (MCI) and further …
Fibre-specific white matter reductions in Alzheimer's disease and mild cognitive impairment
Alzheimer's disease is increasingly considered a large-scale network disconnection
syndrome, associated with progressive aggregation of pathological proteins, cortical …
syndrome, associated with progressive aggregation of pathological proteins, cortical …
Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior
We perform a comprehensive integrative analysis of multiple structural MR-based brain
features and find for the first-time strong evidence relating inter-individual brain structural …
features and find for the first-time strong evidence relating inter-individual brain structural …
Re-examining age-related differences in white matter microstructure with free-water corrected diffusion tensor imaging
Diffusion tensor imaging (DTI) has been used extensively to investigate white matter (WM)
microstructural changes during healthy adult aging. However, WM fibers are known to shrink …
microstructural changes during healthy adult aging. However, WM fibers are known to shrink …
Association of heritable cognitive ability and psychopathology with white matter properties in children and adolescents
Importance Many mental disorders emerge during adolescence, which may reflect a cost of
the potential for brain plasticity offered during this period. Brain dysconnectivity has been …
the potential for brain plasticity offered during this period. Brain dysconnectivity has been …
[HTML][HTML] A predictive framework based on brain volume trajectories enabling early detection of Alzheimer's disease
We present a framework for constructing predictive models of cognitive decline from
longitudinal MRI examinations, based on mixed effects models and machine learning. We …
longitudinal MRI examinations, based on mixed effects models and machine learning. We …
Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations …
Increasing interest in the structural and functional organisation of the human brain
encourages the acquisition of big data sets comprising multiple neuroimaging modalities …
encourages the acquisition of big data sets comprising multiple neuroimaging modalities …
Assessing distinct patterns of cognitive aging using tissue-specific brain age prediction based on diffusion tensor imaging and brain morphometry
Multimodal imaging enables sensitive measures of the architecture and integrity of the
human brain, but the high-dimensional nature of advanced brain imaging features poses …
human brain, but the high-dimensional nature of advanced brain imaging features poses …
[HTML][HTML] Distinct multivariate brain morphological patterns and their added predictive value with cognitive and polygenic risk scores in mental disorders
The brain underpinnings of schizophrenia and bipolar disorders are multidimensional,
reflecting complex pathological processes and causal pathways, requiring multivariate …
reflecting complex pathological processes and causal pathways, requiring multivariate …
Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis
Previous structural and functional neuroimaging studies have implicated distributed brain
regions and networks in depression. However, there are no robust imaging biomarkers that …
regions and networks in depression. However, there are no robust imaging biomarkers that …