Each study has a usefulness score out of 100 (rubric version 4.0). Tap a score to see what makes it up.
Highest usefulness score first. Studies without a score come last.
-
We present a model for digital neural impairment screening and self-assessment, which can evaluate cognitive and motor deficits for patients with symptoms of central nervous system (CNS) disorders, such as mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD), or dementia.
-
Recently, deep-learning-based approaches have been proposed for the classification of neuroimaging data related to Alzheimer's disease (AD), and significant progress has been made.
-
For the combined neurological disorders, age-standardised DALY rates were significantly higher in males than in females (male-to-female ratio 1·12 [1·05-1·20]), but migraine, multiple sclerosis, and tension-type headache were more common and caused more burden in females, with male-to-female ratios of less than 0·7.
-
Alzheimer's Disease (AD) is characterized by a cascade of biomarkers becoming abnormal, the pathophysiology of which is very complex and largely unknown.
-
Mild cognitive impairment (MCI) is the prodromal stage of Alzheimer's disease (AD).
-
Preserved executive functioning (EF) is crucial for daily functioning in the elderly and it appears to predict dementia development.
-
Trans-diagnostic, domain- or symptom-focused approaches have been heralded as advancing psychiatric research, but relatively few clinical research programmes have been undertaken to leverage their potential.
-
As our brains age, we tend to experience cognitive decline and are at greater risk of neurodegenerative disease and dementia.
-
Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for disease based on pathophysiology may be able to provide objective measures for disease diagnosis and staging.
-
The Alzheimer's Association's Research Roundtable met in November 2016 to explore how best to measure changes in cognition and function in the preclinical stage of Alzheimer's disease.
-
The temporal analysis of spontaneous speech can be exploited in implementing a new, automatic detection-based tool for screening MCI for the community.
-
The Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study provides such information but does not routinely aggregate results that are of interest to clinicians specialising in neurological conditions.
-
In the MCI group, age (B = -0.37, p<0.001) and current daily use of computer-based devices (B = 5.85, p<0.001) were associated with the number of correct cancellations of the e-CT.
-
Cognitive reserve (CR) explains interindividual differences in the ability to maintain cognitive function in the presence of neuropathology.
-
45/100
AimTo evaluate visual dysfunction and its correlation with structural changes in the retina in patients with Alzheimer's disease (AD).MethodsPatients with AD (n=24) and controls (n=24) underwent evaluation of visual acuity (VA), color vision (using the Farnsworth and L'Anthony desaturated (D) 15 color tests), and contrast sensitivity vision (CSV; using the Pelli-Robson chart and CSV-1000E test) to measure visual dysfunction.
-
Preliminary findings suggest that the NIH Toolbox has the advantage of showing the strongest overall clustering and alignment with standardized paper-and-pencil tasks.
-
There is a considerable delay in the diagnosis of dementia, which may reduce the effectiveness of available treatments.
-
Patients in the experimental group showed a significant improvement in various neuropsychological domains, and their achievements were stable after 6 months.
-
Modern machine learning and linguistic analysis will be increasingly useful in assessment and clustering of suspected AD.
-
We found that patients with T2DM exhibited cognitive function declines and functional connectivity disruptions within the default mode network, left frontal parietal network, and sensorimotor network.
-
Regions were heterogeneous at baseline. At baseline, disease severity as measured by ADAS-cog11, ADCS-ADL, and CDR-SB was numerically worse for Eastern Europe/Russia compared with other regions.
-
Our data strengthens the link between retinal ganglion cell neuronal and optic nerve axonal loss with AD, and suggest that assessment of macular GC-IPL can be a test to detect neuronal injury in early AD and MCI.
-
There was a significant association between greater Affective factor symptoms and reduced FPCN connectivity (p = 0.03).
-
Regional functional connectivity (FC) of 39 patients with Alzheimer's disease (AD), 23 patients with mild cognitive impairment (MCI), and 43 healthy elderly controls was studied using resting-state functional magnetic resonance imaging (rs-fMRI).
-
There is an urgent need for novel therapeutic approaches for AD.
From across this topic
10 of the 1,533 studies in this topic, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
- Agitation in cognitive disorders: International Psychogeriatric Association provisional consensus clinical and research definition
- Cardiovascular Risk Factors, Cognitive Dysfunction, and Mild Cognitive Impairment
- Association of Visual, Hearing, and Dual Sensory Impairment With Incident Dementia
- China Initiative for Multi-Domain Intervention (CHINA-IN-MUDI) to Prevent Cognitive Decline: Study Design and Progress
- MDS research criteria for prodromal Parkinson's disease
- The impact of neuroscience on society: cognitive enhancement in neuropsychiatric disorders and in healthy people
- Chronic depressive symptomatology and CSF amyloid beta and tau levels in mild cognitive impairment
- Cognitive Reserve Relates to Functional Network Efficiency in Alzheimer's Disease
- Atypical presentation of progressive supranuclear palsy
- Hippocampal synaptic loss in early Alzheimer's disease and mild cognitive impairment