[HTML][HTML] The cingulum bundle: Anatomy, function, and dysfunction
EJ Bubb, C Metzler-Baddeley, JP Aggleton - … & Biobehavioral Reviews, 2018 - Elsevier
The cingulum bundle is a prominent white matter tract that interconnects frontal, parietal, and
medial temporal sites, while also linking subcortical nuclei to the cingulate gyrus. Despite its …
medial temporal sites, while also linking subcortical nuclei to the cingulate gyrus. Despite its …
Random forest algorithm for the classification of neuroimaging data in Alzheimer's disease: a systematic review
Objective: Machine learning classification has been the most important computational
development in the last years to satisfy the primary need of clinicians for automatic early …
development in the last years to satisfy the primary need of clinicians for automatic early …
Thalamic pathology and memory loss in early Alzheimer's disease: moving the focus from the medial temporal lobe to Papez circuit
It is widely assumed that incipient protein pathology in the medial temporal lobe instigates
the loss of episodic memory in Alzheimer's disease, one of the earliest cognitive deficits in …
the loss of episodic memory in Alzheimer's disease, one of the earliest cognitive deficits in …
Imaging biomarkers in neurodegeneration: current and future practices
PNE Young, M Estarellas, E Coomans… - Alzheimer's research & …, 2020 - Springer
There is an increasing role for biological markers (biomarkers) in the understanding and
diagnosis of neurodegenerative disorders. The application of imaging biomarkers …
diagnosis of neurodegenerative disorders. The application of imaging biomarkers …
White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer's disease
MÁ Araque Caballero, M Suárez-Calvet, M Duering… - Brain, 2018 - academic.oup.com
White matter alterations are present in the majority of patients with Alzheimer's disease type
dementia. However, the spatiotemporal pattern of white matter changes preceding dementia …
dementia. However, the spatiotemporal pattern of white matter changes preceding dementia …
Relationship between DTI metrics and cognitive function in Alzheimer's disease
CD Mayo, MA Garcia-Barrera, EL Mazerolle… - Frontiers in aging …, 2019 - frontiersin.org
Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder with a clinical
presentation characterized by memory impairment and executive dysfunction. Our group …
presentation characterized by memory impairment and executive dysfunction. Our group …
Longitudinal changes in microstructural white matter metrics in Alzheimer's disease
CD Mayo, EL Mazerolle, L Ritchie, JD Fisk… - NeuroImage: Clinical, 2017 - Elsevier
Background Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Current
avenues of AD research focus on pre-symptomatic biomarkers that will assist with early …
avenues of AD research focus on pre-symptomatic biomarkers that will assist with early …
Diffusion MRI indices and their relation to cognitive impairment in brain aging: the updated multi-protocol approach in ADNI3
A Zavaliangos-Petropulu, TM Nir… - Frontiers in …, 2019 - frontiersin.org
Brain imaging with diffusion-weighted MRI (dMRI) is sensitive to microstructural white matter
(WM) changes associated with brain aging and neurodegeneration. In its third phase, the …
(WM) changes associated with brain aging and neurodegeneration. In its third phase, the …
Neurofilament light chain as a biomarker, and correlation with magnetic resonance imaging in diagnosis of CNS-related disorders
The search for diagnostic and prognostic biomarkers for neurodegenerative conditions is of
high importance, since these disorders may present difficulties in differential diagnosis …
high importance, since these disorders may present difficulties in differential diagnosis …
How random is the random forest? Random forest algorithm on the service of structural imaging biomarkers for Alzheimer's disease: from Alzheimer's disease …
SI Dimitriadis, D Liparas… - Neural regeneration …, 2018 - journals.lww.com
Neuroinformatics is a fascinating research field that applies computational models and
analytical tools to high dimensional experimental neuroscience data for a better …
analytical tools to high dimensional experimental neuroscience data for a better …