Neuroimaging and machine learning for dementia diagnosis: recent advancements and future prospects

MR Ahmed, Y Zhang, Z Feng, B Lo… - IEEE reviews in …, 2018 - ieeexplore.ieee.org
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 …

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 …

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 …

Diffusion imaging of sport-related repetitive head impacts—a systematic review

IK Koerte, TLT Wiegand, EM Bonke, J Kochsiek… - Neuropsychology …, 2023 - Springer
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 …

Machine learning applications on neuroimaging for diagnosis and prognosis of epilepsy: A review

J Yuan, X Ran, K Liu, C Yao, Y Yao, H Wu… - Journal of neuroscience …, 2022 - Elsevier
Abstract Machine learning is playing an increasingly important role in medical image
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 …

Machine learning for the classification of Alzheimer's disease and its prodromal stage using brain diffusion tensor imaging data: a systematic review

L Billeci, A Badolato, L Bachi, A Tonacci - Processes, 2020 - mdpi.com
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 …

A systematic review and implementation of IoT-based pervasive sensor-enabled tracking system for dementia patients

PP Ray, D Dash, D De - Journal of medical systems, 2019 - Springer
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 …

[HTML][HTML] Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH)

A De Luca, SC Karayumak, A Leemans, Y Rathi… - NeuroImage, 2022 - Elsevier
Quantification methods based on the acquisition of diffusion magnetic resonance imaging
(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

L Novello, RN Henriques, A Ianuş, T Feiweier… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) has become one of the most important imaging modalities for
noninvasively probing tissue microstructure. Diffusional Kurtosis MRI (DKI) quantifies the …