Neuroimaging and machine learning for dementia diagnosis: recent advancements and future prospects
Dementia, a chronic and progressive cognitive declination of brain function caused by
disease or impairment, is becoming more prevalent due to the aging population. A major …
disease or impairment, is becoming more prevalent due to the aging population. A major …
White matter changes in Parkinson's disease
K Yang, Z Wu, J Long, W Li, X Wang, N Hu… - npj Parkinson's …, 2023 - nature.com
Parkinson's disease (PD) is the second most common neurodegenerative disease after
Alzheimer's disease (AD). It is characterized by a progressive loss of dopaminergic neurons …
Alzheimer's disease (AD). It is characterized by a progressive loss of dopaminergic neurons …
Diffusion magnetic resonance imaging-based biomarkers for neurodegenerative diseases
K Kamagata, C Andica, A Kato, Y Saito… - International Journal of …, 2021 - mdpi.com
There has been an increasing prevalence of neurodegenerative diseases with the rapid
increase in aging societies worldwide. Biomarkers that can be used to detect pathological …
increase in aging societies worldwide. Biomarkers that can be used to detect pathological …
Diffusion imaging of sport-related repetitive head impacts—a systematic review
Repetitive head impacts (RHI) are commonly observed in athletes participating in contact
sports such as American football, ice hockey, and soccer. RHI usually do not result in acute …
sports such as American football, ice hockey, and soccer. RHI usually do not result in acute …
Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review
Abstract Machine learning is playing an increasingly important role in medical image
analysis, spawning new advances in the clinical application of neuroimaging. There have …
analysis, spawning new advances in the clinical application of neuroimaging. There have …
[HTML][HTML] Neuroimaging-derived biomarkers of the antidepressant effects of ketamine
A Zavaliangos-Petropulu, NB Al-Sharif, B Taraku… - Biological psychiatry …, 2023 - Elsevier
Major depressive disorder is a highly prevalent psychiatric disorder. Despite an extensive
range of treatment options, about a third of patients still struggle to respond to available …
range of treatment options, about a third of patients still struggle to respond to available …
Machine learning for the classification of Alzheimer's disease and its prodromal stage using brain diffusion tensor imaging data: a systematic review
Alzheimer's disease is notoriously the most common cause of dementia in the elderly,
affecting an increasing number of people. Although widespread, its causes and progression …
affecting an increasing number of people. Although widespread, its causes and progression …
A systematic review and implementation of IoT-based pervasive sensor-enabled tracking system for dementia patients
Abstract In today's world, 46.8 million people suffer from brain related diseases. Dementia is
most prevalent of all. In general scenario, a dementia patient lacks proper guidance in …
most prevalent of all. In general scenario, a dementia patient lacks proper guidance in …
[HTML][HTML] Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)
Quantification methods based on the acquisition of diffusion magnetic resonance imaging
(dMRI) with multiple diffusion weightings (eg, multi-shell) are becoming increasingly applied …
(dMRI) with multiple diffusion weightings (eg, multi-shell) are becoming increasingly applied …
[HTML][HTML] In vivo correlation tensor MRI reveals microscopic kurtosis in the human brain on a clinical 3T scanner
Diffusion MRI (dMRI) has become one of the most important imaging modalities for
noninvasively probing tissue microstructure. Diffusional Kurtosis MRI (DKI) quantifies the …
noninvasively probing tissue microstructure. Diffusional Kurtosis MRI (DKI) quantifies the …