AIMC Topic: Neuropsychological Tests
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Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls.
The British journal of clinical psychology
Dec 10, 2020
OBJECTIVES: While theoretical models link obsessive-compulsive disorder (OCD) with executive function deficits, empirical findings from the neuropsychological literature remain mixed. These inconsistencies are likely exacerbated by the challenge of h...
Predicting risk of dyslexia with an online gamified test.
PloS one
Dec 2, 2020
Dyslexia is a specific learning disorder related to school failure. Detection is both crucial and challenging, especially in languages with transparent orthographies, such as Spanish. To make detecting dyslexia easier, we designed an online gamified ...
A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction.
Scientific reports
Nov 23, 2020
Data collected from clinical trials and cohort studies, such as dementia studies, are often high-dimensional, censored, heterogeneous and contain missing information, presenting challenges to traditional statistical analysis. There is an urgent need ...
Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment.
Human brain mapping
Oct 8, 2020
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weig...
Engaging proactive control: Influences of diverse language experiences using insights from machine learning.
Journal of experimental psychology. General
Oct 1, 2020
We used insights from machine learning to address an important but contentious question: Is bilingual language experience associated with executive control abilities? Specifically, we assess proactive executive control for over 400 young adult biling...
The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans.
Alzheimer's & dementia : the journal of the Alzheimer's Association
Sep 13, 2020
INTRODUCTION: Relationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging d...
Magnetic Resonance Imaging
Amyloid beta-Peptides
White Matter
Neuropsychological Tests
Atrophy
Cerebral Small Vessel Diseases
Humans
Aging
Machine Learning
Aged, 80 and over
Middle Aged
Biomarkers
Disease Progression
Young Adult
Brain
Cognitive Dysfunction
Adult
Female
Image Processing, Computer-Assisted
Male
Aged
Machine-learning approach to predict on-road driving ability in healthy older people.
Psychiatry and clinical neurosciences
Jul 20, 2020
AIM: In Japan, fatal traffic accidents due to older drivers are on the rise. Considering that approximately half the older drivers who have caused fatal accidents are cognitively normal healthy people, it has been required to detect older drivers who...
Developing a neurally informed ontology of creativity measurement.
NeuroImage
Jul 16, 2020
A central challenge for creativity research-as for all areas of experimental psychology and cognitive neuroscience-is to establish a mapping between constructs and measures (i.e., identifying a set of tasks that best captures a set of creative abilit...
A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).
BMC neurology
May 18, 2020
BACKGROUND: Cognitive impairment is common in patients with multiple sclerosis (MS). Accurate and repeatable measures of cognition have the potential to be used as markers of disease activity.
Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.
Journal of medical systems
Apr 23, 2020
Mild cognitive impairment (MCI) may be caused by Alzheimer's disease, Parkinson's disease (PD), cerebrovascular accident, nutritional or metabolic disorders, or mental disorders. It is important to determine the cause and treatment of dementia as ear...
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