AIMC Topic: Cognition Disorders
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Predicting chemo-brain in breast cancer survivors using multiple MRI features and machine-learning.
Magnetic resonance in medicine
Nov 12, 2018
PURPOSE: Breast cancer (BC) is the most common cancer in women worldwide. There exist various advanced chemotherapy drugs for BC; however, chemotherapy drugs may result in brain damage during treatment. When a patient's brain is changed in response t...
Machine Learning for Predicting Cognitive Diseases: Methods, Data Sources and Risk Factors.
Journal of medical systems
Oct 27, 2018
Machine learning and data mining approaches are being successfully applied to different fields of life sciences for the past 20 years. Medicine is one of the most suitable application domains for these techniques since they help model diagnostic info...
Electroencephalography-based machine learning for cognitive profiling in Parkinson's disease: Preliminary results.
Movement disorders : official journal of the Movement Disorder Society
Oct 21, 2018
BACKGROUND: Cognitive symptoms are common in patients with Parkinson's disease. Characterization of a patient's cognitive profile is an essential step toward the identification of predictors of cognitive worsening.
Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study.
Journal of magnetic resonance imaging : JMRI
Aug 5, 2018
BACKGROUND: Type 2 diabetes mellitus (T2DM) is associated with alterations in the blood-brain barrier, neuronal damage, and arterial stiffness, thus affecting cerebral metabolism and perfusion. There is a need to implement machine-learning methodolog...
Brain Mapping
Perfusion
Cognition Disorders
Linear Models
Imaging, Three-Dimensional
Insulin Resistance
Longitudinal Studies
Magnetic Resonance Imaging
Aged
Aged, 80 and over
Cross-Sectional Studies
Male
Middle Aged
Severity of Illness Index
Pilot Projects
Diabetes Mellitus, Type 2
Machine Learning
Prospective Studies
Brain
Female
Humans
Evaluation of an ontology-based system for computerized cognitive rehabilitation.
International journal of medical informatics
Apr 21, 2018
OBJECTIVES: This paper describes the results of a randomized clinical trial about the effectiveness of a computerized rehabilitation treatment on a sample of 31 patients affected by Parkinson disease.
Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks.
Brain and cognition
Mar 26, 2018
The accurate diagnosis and assessment of neurodegenerative disease and traumatic brain injuries (TBI) remain open challenges. Both cause cognitive and functional deficits due to focal axonal swellings (FAS), but it is difficult to deliver a prognosis...
Early prediction of cognitive deficits in very preterm infants using functional connectome data in an artificial neural network framework.
NeuroImage. Clinical
Jan 31, 2018
Investigation of the brain's functional connectome can improve our understanding of how an individual brain's organizational changes influence cognitive function and could result in improved individual risk stratification. Brain connectome studies in...
Cognitive sequelae of endocrine therapy in women treated for breast cancer: a meta-analysis.
Breast cancer research and treatment
Dec 20, 2017
PURPOSE: Evidence suggests anti-estrogen endocrine therapy (ET) is associated with adverse cognitive effects; however, findings are based on small samples and vary in the cognitive abilities affected. We conducted a meta-analysis to quantitatively sy...
Increased default-mode network centrality in cognitively impaired multiple sclerosis patients.
Neurology
Feb 8, 2017
OBJECTIVE: To investigate how changes in functional network hierarchy determine cognitive impairment in multiple sclerosis (MS).
A systematic review of study results reported for the evaluation of robotic rollators from the perspective of users.
Disability and rehabilitation. Assistive technology
Jan 26, 2017
PURPOSE: To evaluate the effectiveness and perception of robotic rollators (RRs) from the perspective of users.
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