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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After more than three decades of intensive research, Alzheimer disease care remains largely palliative, and the field has drawn sustained criticism, both for that reason and for pursuing some directions of inquiry over others.
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16/100
Individuals with MCI and AD exhibit marked deficits in the performance and accuracy of upper-limb reaching and catching movements when assessed in a VR environment.
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ABR latencies, rather than amplitudes, showed significant associations with regional gray matter volumes.
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Amyloid-β and tau, pathological hallmarks of AD, silently accumulate years before clinical symptoms’ onset and are associated with neuronal dysfunction and cognitive impairment.
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16/100
We examined whether natural language processing and acoustic analysis of spoken biographical recall could identify lexical and temporal speech features associated with language and memory performance in TLE.
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We compared global and domain-level cognitive performance in older adults without a prior dementia diagnosis based on whether their cohabiting spouse had Alzheimer’s disease.
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Only the reliability half of that contrast is individually significant.
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Age-bias-corrected brain-age gap was most consistently associated with reduced diffusion-derived microstructural integrity and structural-network organization across cohorts.
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The association declines monotonically as control over ascertainment improves.
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The dynamics of Alzheimer’s disease spread in aging groups of population are described using an Inflow-Outflow Model.
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Explainability methods applied to deep learning models for Alzheimer’s disease neuroimaging produce attribution maps that vary substantially across methods and architectures, yet no validated quantitative framework exists for determining which method most faithfully localises attribution signal within established AD neuroimaging biomarker anatomy at the individual subject level.
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Understanding how a stable structural connectome supports flexible cognition, especially in aging, is a fundamental question in neuroscience.
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Affective symptoms, such as depression, anxiety and apathy, are highly prevalent in cognitively impaired Lewy body disease (LBD) groups, including Parkinson’s disease dementia and dementia with Lewy bodies.
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Our findings indicate that HFOs likely arise from different neuronal populations and are generated through distinct mechanisms in these two models.
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From 464 identified records, 30 peer-reviewed primary studies met all eligibility criteria following the exclusion of low-quality sources and unindexed preprints.
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HbA1c levels had warning value for cognitive impairment in non diabetes patients with WMH, and a nonlinear correlation exists between HbA1c and WMH-related cognitive impairment.
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Of 352 records identified, five studies involving 245 participants were included.
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Controlling for baseline differences, treatment of OSA improved delayed recall and may reduce the slope of memory decline in Alzheimer’s disease and vascular dementia.
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Accurate long-term forecasting of cognitive trajectories across the Alzheimer’s disease continuum is essential for early intervention, personalized prognosis, patient stratification, and clinical trial enrichment.
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Insulin resistance is increasingly recognized as a metabolic factor associated with Alzheimer’s disease (AD); however, its relevance to hippocampal structural changes—a key pathological feature of AD—across disease stages is not fully understood.
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Individuals diagnosed with mild cognitive impairment (MCI) have an increased risk of developing dementia.
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Alzheimer’s disease (AD) detection from structural magnetic resonance imaging (MRI) using deep learning depends on large, labelled datasets.
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While loss of NMDA receptors (NMDARs) is associated with Alzheimer’s disease (AD) severity, the effect of sex or the relationship between regional NMDAR density and antemortem cognitive status across the AD spectrum has not been examined.
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Dementia affects more than 55 million people worldwide, and its progressive decline is difficult to track using infrequent in-person assessments, which can miss subtle changes between visits and add to clinician burden.
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Ignite is a sensitive digital cognitive assessment capable of detecting early cognitive changes in genetic FTD and demonstrates improved discrimination compared with standard neuropsychological measures at milder disease severity.
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.
- Unsupervised mobile app-based cognitive testing in a population-based study of older adults born 1944
- Spatial navigation in normal aging and the prodromal stage of Alzheimer's disease: insights from imaging and behavioral studies
- Sleep: A Novel Mechanistic Pathway, Biomarker, and Treatment Target in the Pathology of Alzheimer's Disease?
- Multimodal deep learning for Alzheimer's disease dementia assessment
- Altered functional connectivity in early Alzheimer's disease: a resting-state fMRI study
- Multi-site MRI analysis of morphometric differences in brain regions in the presence of hearing loss and tinnitus across the adult lifespan
- Digital computerised cognitive training for preventing cognitive decline among hypertensive patients: a study protocol for a multicentre randomised controlled trial (DELIGHT trial)
- Age-Related Hearing Loss: Innovations in Hearing Augmentation
- Altered structural and functional connectivity in Posterior Cortical Atrophy and Dementia with Lewy bodies
- Cognitive interventions for memory and psychological well-being in aging and dementias