Patterns of structure-function association in normal aging and in Alzheimer's disease: Screening for mild cognitive impairment and dementia with ML regression and …

Y Statsenko, S Meribout, T Habuza… - Frontiers in Aging …, 2023 - frontiersin.org
Background The combined analysis of imaging and functional modalities is supposed to
improve diagnostics of neurodegenerative diseases with advanced data science …

Deviation from model of normal aging in alzheimer's disease: Application of deep learning to structural MRI data and cognitive tests

T Habuza, N Zaki, EA Mohamed, Y Statsenko - IEEE Access, 2022 - ieeexplore.ieee.org
Background. Psychophysiological and cognitive tests as well as other functional studies can
detect pre-symptomatic stages of dementia. When assembled with structural data, cognitive …

The Brain Chart of Aging: machine‐learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING …

M Habes, R Pomponio, H Shou, J Doshi… - Alzheimer's & …, 2021 - Wiley Online Library
Introduction Relationships between brain atrophy patterns of typical aging and Alzheimer's
disease (AD), white matter disease, cognition, and AD neuropathology were investigated via …

Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images …

K Popuri, D Ma, L Wang, MF Beg - Human Brain Mapping, 2020 - Wiley Online Library
Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate
prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1 …

Prediction of clinical and biomarker conformed Alzheimer's disease and mild cognitive impairment from multi-feature brain structural MRI using age-correction from a …

B Li, M Zhang, J Riphagen, KM Yochim, B Li, J Liu… - NeuroImage: Clinical, 2020 - Elsevier
Structural neuroimaging has been applied to the identification of individuals with Alzheimer's
disease (AD) and mild cognitive impairment (MCI). However, these methods are greatly …

[HTML][HTML] Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's …

CO Amaefule, M Dyrba, S Wolfsgruber, A Polcher… - NeuroImage: Clinical, 2021 - Elsevier
Background Cognitive decline has been found to be associated with gray matter atrophy
and disruption of functional neural networks in Alzheimer's disease (AD) in structural and …

Machine learning based on functional and structural connectivity in mild cognitive impairment

Y Li, Y Shao, J Wang, Y Liu, Y Yang, Z Wang… - Magnetic Resonance …, 2024 - Elsevier
Objective Alzheimer's disease (AD) is a chronic, degenerative neurological disorder
characterized by progressive cognitive decline and mental behavioral abnormalities. Mild …

Disentangling Alzheimer's disease neurodegeneration from typical brain ageing using machine learning

G Hwang, A Abdulkadir, G Erus, M Habes… - Brain …, 2022 - academic.oup.com
Neuroimaging biomarkers that distinguish between changes due to typical brain ageing and
Alzheimer's disease are valuable for determining how much each contributes to cognitive …

Longitudinal resting-state functional connectivity and regional brain atrophy-based biomarkers of preclinical cognitive impairment in healthy old adults

J de Dieu Uwisengeyimana, BA Nguchu… - Aging Clinical and …, 2022 - Springer
Background Intervention against age-related neurodegenerative diseases may be difficult
once extensive structural and functional deteriorations have already occurred in the brain …

The combination of functional and structural MRI is a potential screening tool in Alzheimer's disease

CC Huang, WM Huang, CH Chen, ZY Jhou… - Frontiers in Aging …, 2018 - frontiersin.org
Introduction: This study aimed to survey the discrimination power of parameters from
cerebrospinal fluid (CSF) biomarkers, fluorodeoxyglucose uptake on PET (FDG-PET) …