Machine learning algorithms for the diagnosis of Alzheimer and Parkinson disease

RS Nancy Noella, J Priyadarshini - Journal of Medical Engineering …, 2023 - Taylor & Francis
Dementia is a general term used to indicate any disorder related to human memory. The
various memory-related problems severely affect the human brain and so the individual …

A neural-vascular complex of age-related changes in the human brain: Anatomy, physiology, and implications for neurocognitive aging

D Abdelkarim, Y Zhao, MP Turner… - Neuroscience & …, 2019 - Elsevier
Theories of neurocognitive aging rely heavily on functional magnetic resonance imaging
(fMRI) to test hypotheses regarding the brain basis of age-differences in cognition. This …

A robust DWT–CNN‐based CAD system for early diagnosis of autism using task‐based fMRI

R Haweel, A Shalaby, A Mahmoud, N Seada… - Medical …, 2021 - Wiley Online Library
Purpose Task‐based fMRI (TfMRI) is a diagnostic imaging modality for observing the effects
of a disease or other condition on the functional activity of the brain. Autism spectrum …

[HTML][HTML] Dynamic time warping outperforms Pearson correlation in detecting atypical functional connectivity in autism spectrum disorders

AC Linke, LE Mash, CH Fong, MK Kinnear, JS Kohli… - NeuroImage, 2020 - Elsevier
Resting state fMRI (rsfMRI) is frequently used to study brain function, including in clinical
populations. Similarity of blood-oxygen-level-dependent (BOLD) fluctuations during rsfMRI …

A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer's disease

P Forouzannezhad, A Abbaspour, C Fang… - Journal of neuroscience …, 2019 - Elsevier
Background Functional magnetic resonance imaging (fMRI) is an MRI-based neuroimaging
technique that measures brain activity on the basis of blood oxygenation level. This study …

[HTML][HTML] Multivariate semi-blind deconvolution of fMRI time series

H Cherkaoui, T Moreau, A Halimi, C Leroy, P Ciuciu - NeuroImage, 2021 - Elsevier
Whole brain estimation of the haemodynamic response function (HRF) in functional
magnetic resonance imaging (fMRI) is critical to get insight on the global status of the …

Deconvolution of the functional ultrasound response in the mouse visual pathway using block-term decomposition

A Erol, C Soloukey, B Generowicz, N Van Dorp… - Neuroinformatics, 2023 - Springer
Functional ultrasound (fUS) indirectly measures brain activity by detecting changes in
cerebral blood volume following neural activation. Conventional approaches model such …

Global Impact of Aging on the Hemodynamic Response Function in the Gray Matter of Human Cerebral Cortex

NJ Fesharaki, A Taylor, K Mosby, R Li… - Human Brain …, 2024 - Wiley Online Library
In functional magnetic resonance imaging, the hemodynamic response function (HRF) is a
stereotypical response to local changes in cerebral hemodynamics and oxygen metabolism …

Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer's disease

YT Li, CY Chang, YC Hsu, JL Fuh… - Journal of Cerebral …, 2021 - journals.sagepub.com
The functional connectivity of the default-mode network (DMN) monitored by functional
magnetic resonance imaging (fMRI) in Alzheimer's disease (AD) patients has been found …

[PDF][PDF] Machine Learning Algorithms for the diagnosis of Alzheimer's and Parkinson's Disease

NN RS, J Priyadarshini - International Journal, 2020 - researchgate.net
Dementia is a general term used to indicate any disorder related to human memory. The
various memory related problems severely affects the human brain and so the individual …