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.
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36/100
Structural and functional connectivity methods are changing how researchers conceptualize and explore neuropsychiatric disease.
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Recently, there have been great interests for computer-aided diagnosis of Alzheimer's disease (AD) and its prodromal stage, mild cognitive impairment (MCI).
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High levels of education, occupational complexity, and/or premorbid intelligence are associated with lower levels of cognitive impairment than would be expected from a given brain pathology.
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The purpose of this article is to identify the cognitive deficits commonly associated with geriatric depression and describe their clinical significance.
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36/100
Cognitive reserve (CR) is a concept meant to account for the frequent discrepancy between an individual's measured level of brain pathology and her expected cognitive performance.
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The previously reported high risk levels for dementia among people with Down syndrome was confirmed in these data as was the value of the instruments utilised in tracking decline and helping to confirm diagnosis even in persons with severe intellectual disability.
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The brain's functional connectivity is complex, has high energetic cost, and requires efficient use of glucose, the brain's main energy source.
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Resting state functional connectivity (rs-fc) using fMRI has become an important tool in examining differences in brain activity between patient and healthy populations.
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The central noradrenergic neurone, like the peripheral sympathetic neurone, is characterized by a diffusely arborizing terminal axonal network.
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The neural pathways and brain regions involved in eye movements during ocular fixation and gaze control include the cerebrum, brainstem and cerebellum, and abnormal eye movements can indicate the presence of neurodegeneration.
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There has been a dramatic increase in the number of studies using resting state functional magnetic resonance imaging (rs-fMRI), a recent addition to imaging analysis techniques.
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36/100
Neurodegenerative disorders, such as Alzheimer's disease, are associated with changes in multiple neuroimaging and biological measures.
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The present findings support a theory of FTD as a disorder of frontolimbic disconnection leading to unconstrained prefrontal connectivity.
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Accumulating evidence suggests that subjective cognitive complaints (SCC) may indicate subtle cognitive decline characteristic of individuals with preclinical Alzheimer's disease (AD).
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Normal aging and mild Alzheimer's disease (AD) are associated with declines in navigational skills, including allocentric and egocentric representations, cognitive mapping, landmark processing, and spatial memory.
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Alzheimer disease (AD) is the most common cause of dementia in the elderly.
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Building on earlier evidence showing a beneficial effect of bilingualism on children's cognitive development, we review recent studies using both behavioral and neuroimaging methods to examine the effects of bilingualism on cognition in adulthood and explore possible mechanisms for these effects.
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Whereas patients with Alzheimer's disease (AD) experience difficulties forming and retrieving memories, their memory impairments may also partially reflect an unrecognized dysfunction in sleep-dependent consolidation that normally stabilizes declarative memory storage across cortical areas.
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Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical and functional differences between healthy individuals and patients suffering a wide range of neurological and psychiatric disorders.
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There is a growing evidence to suggest that apart from motor features, patients with Essential Tremor (ET) may have significant non-motor features.
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Among the various disorders manifesting dementia, gait disturbance, and urinary incontinence in the elderly population, idiopathic normal pressure hydrocephalus (iNPH) is becoming of great importance.
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There are growing numbers of studies using machine learning approaches to characterize patterns of anatomical difference discernible from neuroimaging data.
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Many machine learning and pattern classification methods have been applied to the diagnosis of Alzheimer's disease (AD) and its prodromal stage, i.e., mild cognitive impairment (MCI).
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Besides cognitive decline, dementia is characterized by gait changes and increased fall risk, also in early stages of the disease.
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Visual symptoms are common in PD and PD dementia and include difficulty reading, double vision, illusions, feelings of presence and passage, and complex visual hallucinations.
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.
- Late-Life Depression, Cognitive Impairment, and Relationship with Alzheimer's Disease
- The Effect of Education on Cognitive Performances and Its Implication for the Constitution of the Cognitive Reserve
- Status of computerized cognitive testing in aging: a systematic review
- Dutch normal-pressure hydrocephalus study: prediction of outcome after shunting by resistance to outflow of cerebrospinal fluid
- Associations between dietary patterns and dementia-related neuroimaging markers
- Moderate- to high-intensity exercise does not modify cortical β-amyloid in Alzheimer's disease
- Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
- Associations between vision impairment and eye diseases with dementia, dementia subtypes and cognitive impairment: An umbrella review
- Quality of education impacts late-life cognition
- Improving the resistance and resilience framework for aging and dementia studies