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.
-
Traumatic brain injury (TBI), chronic traumatic encephalopathy (CTE), and Alzheimer's disease (AD) share several neuropathophysiological mechanisms, including axonal injury, neuroinflammation, and abnormal protein aggregation, which may contribute to overlapping clinical manifestations.
-
Launched in 2010 by the National Institutes of Health, the Human Connectome Project (HCP) represents a foundational initiative in systems neuroscience, designed to map the structural and functional architecture of the human brain.
-
Older adults with mild cognitive impairment (MCI) or dementia have elevated fall risk, but fall-related psychological outcomes represent distinct constructs that should not be pooled indiscriminately.
-
Amyloid-β deposition begins in the earliest preclinical stages of Alzheimer's disease, long before cognitive decline is detectable by standard clinical assessments, which are often limited by ceiling effects and create a need for non-invasive, scalable markers.
-
Fairness in clinical machine-learning (ML) remains a critical challenge, particularly in neurodegenerative disease where demographic factors may confound disease-related patterns.
-
Hypertension is associated with lower risk of dementia-related outcomes in aECAD patients.
-
CAD was not associated with global or domain-level neurocognitive performance.
-
Late-life depression (LLD) is associated with cognitive impairment, olfactory dysfunction and dementia risk, while brain iron accumulation has been linked to depressive symptoms, cognitive impairment and Alzheimer’s disease progression.
-
Early detection of Alzheimer’s disease (AD) from spontaneous speech remains a clinically significant challenge.
-
Performance variability precedes measurable linear decline across PD-risk stratified groups.
-
Our findings indicate that all methods captured AD disconnection patterns but exhibited variability in preserving connectivity profiles, which seemed non-random but rather systematically linked to clinical measures and predictive power for AD classification.
-
In this cross-sectional sample, mobility showed a progressively stronger statistical indirect association with the cognition-ADL relationship as cognitive impairment deepened.
-
In the primary visual cortex (V1), we show that cortical magnification (M) is a deterministic Riemannian coordinate transformation (M \propto 1/\sqrt{\det g}) that equalizes information pressure between the spherical retina and planar cortex.2.
-
Of total 8,321 participants, 24.88% (2,070) developed cognitive impairment during a 10-year follow-up.
-
The study evaluated 1,457 PD patients (1,050 primary; 407 secondary) alongside 2,100 matched non-PD controls.
-
Reported dementia-classification performance depends on how the label is defined, which clinical information the model sees, and whether participants are separated between training and test data.
-
The theta/alpha ratio is a promising but specification-dependent marker of cognitive impairment, contingent particularly on ICA and spectral power quantification.
-
Alzheimer's disease classification by means of Magnetic Resonance Imaging demands strong models that are able to generalise to different stages of dementia.
-
Face processing abilities are critical for social interaction, yet impairments are common across dementia syndromes and constitute a core diagnostic feature of some neurocognitive disorders.
-
M2 C-index 0.682, M3 0.692, M4 0.687. Adding the dyadic mean yielded an estimated ΔC of 0.010 (95% CI -0.003 to 0.024).
-
Natural language processing has been examined as a possible biomarker for cognitive decline and dementia, but it has also been associated with components of well-being and psychological distress.
-
Risk prediction in Alzheimer disease can guide follow-up, biomarker testing, trial referral, and prognostic counseling.
-
Alzheimer's Disease (AD) detection from spoken language has advanced considerably with the rise of large pre-trained speech and language models, including wav2vec 2.0, BERT, generative LLMs, and emerging audio-LLMs.
-
Participants were aged 60–94 years, with a mean age of 78.5 ± 7.9 years, and 45.7% were women.
-
The 2,885 participants had a mean age of 69.5 years.
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.
- The prevalence of peripheral and central hearing impairment and its relation to cognition in older adults
- The Laterality of Early Age-Related Hearing Loss and Brain β-Amyloid
- Eye movements in patients with neurodegenerative disorders
- Association of white matter hyperintensities with cognitive decline and neurodegeneration
- Montreal cognitive assessment reflects cognitive reserve
- Reserve, resilience and maintenance of episodic memory and other cognitive functions in aging
- Associations of Physical Activity with Alzheimer's Disease Pathologies and Cognition: The CABLE Study
- Norms for letter and category fluency: demographic corrections for age, education, and ethnicity
- Digitization of neuropsychological diagnostics: a pilot study to compare three paper-based and digitized cognitive assessments
- Occupational complexity and cognition in the FINGER multidomain intervention trial