Cell transplantation for spinal cord injury: a systematic review

J Li, G Lepski - BioMed research international, 2013 - Wiley Online Library
Cell transplantation, as a therapeutic intervention for spinal cord injury (SCI), has been
extensively studied by researchers in recent years. A number of different kinds of stem cells …

Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer's disease using fusion of MRI-PET imaging

VPS Rallabandi, K Seetharaman - Biomedical Signal Processing and …, 2023 - Elsevier
Automated detection of dementia stage using multimodal imaging modalities will be helpful
for improving the clinical diagnosis. In this study, we develop the Inception-ResNet wrapper …

Precuneus and Cingulate Cortex Atrophy and Hypometabolism in Patients with Alzheimer's Disease and Mild Cognitive Impairment: MRI and 18F‐FDG PET …

M Bailly, C Destrieux, C Hommet… - BioMed research …, 2015 - Wiley Online Library
Objective. The objective of this study was to compare glucose metabolism and atrophy, in
the precuneus and cingulate cortex, in patients with Alzheimer's disease (AD) and mild …

A multipredictor model to predict the conversion of mild cognitive impairment to Alzheimer's disease by using a predictive nomogram

K Huang, Y Lin, L Yang, Y Wang, S Cai… - …, 2020 - nature.com
Predicting the probability of converting from mild cognitive impairment (MCI) to Alzheimer's
disease (AD) is still a challenging task. This study aims at providing a personalized MCI-to …

Cognitive function is associated with impaired heart rate variability in ageing adults: the Irish longitudinal study on ageing wave one results

J Frewen, C Finucane, GM Savva, G Boyle… - Clinical Autonomic …, 2013 - Springer
Objective To examine the independent association between heart rate variability (HRV) and
cognitive performance, in a nationally representative population study of older adults …

Optimizing neuropsychological assessments for cognitive, behavioral, and functional impairment classification: a machine learning study

P Battista, C Salvatore, I Castiglioni - Behavioural neurology, 2017 - Wiley Online Library
Subjects with Alzheimer's disease (AD) show loss of cognitive functions and change in
behavioral and functional state affecting the quality of their daily life and that of their families …

Artificial intelligence and neuropsychological measures: The case of Alzheimer's disease

P Battista, C Salvatore, M Berlingeri, A Cerasa… - Neuroscience & …, 2020 - Elsevier
One of the current challenges in the field of Alzheimer's disease (AD) is to identify patients
with mild cognitive impairment (MCI) that will convert to AD. Artificial intelligence, in …

A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual

M Bucholc, X Ding, H Wang, DH Glass, H Wang… - Expert systems with …, 2019 - Elsevier
Computerized clinical decision support systems can help to provide objective, standardized,
and timely dementia diagnosis. However, current computerized systems are mainly based …

Prediction of conversion to Alzheimer's disease with longitudinal measures and time-to-event data

K Li, W Chan, RS Doody, J Quinn… - Journal of …, 2017 - content.iospress.com
Background: Identifying predictors of conversion to Alzheimer's disease (AD) is critically
important for AD prevention and targeted treatment. Objective: To compare various clinical …

Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia

PT Trzepacz, P Yu, J Sun, K Schuh, M Case… - Neurobiology of …, 2014 - Elsevier
In this study we compared Pittsburgh compound-B (PIB) positron emission tomography
(PET) amyloid imaging, fluorodeoxyglucose PET for metabolism, and magnetic resonance …