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imaging
844 studies tagged imaging, dated 1983-08-01 to 2026-09-25. Bibliography: BibTeX (.bib) · RIS (.ris)
Newest in this topic
- Diagnostic accuracy of remote self-administered digital cognitive assessment by clinical diagnosis and Alzheimer's disease PET imaging biomarkers 2026-09-25
- Multi-scale 3D CNN with imbalance-aware training for structural MRI-based six-class Alzheimer disease staging 2026-09-22
- T1 mapping in Alzheimer’s disease: a quantitative MRI study with amyloid-PET correlation 2026-09-21
Studies
844 studies carry this tag.
Date range
1983 to 2026
Top journals
- Neurology 83
- Journal of nuclear medicine : official publication, Society of Nuclear Medicine 42
- Brain : a journal of neurology 34
- NeuroImage 31
- Alzheimer s & Dementia 30
285 journals in all.
Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.
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50/100
Our findings indicate that using location-based trajectory metrics with clinical measures significantly improves the predictability of motor agitation beyond individual baselines.
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45/100
Representations of White-racialized older adults were 5-fold higher than those of other races in both years.
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Accurate classification of neurodegenerative disorders remains a challenge in neuroscience.
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Of 4467 participants who underwent 9208 longitudinal cognitive sessions, 2698 (60.4%) were female, and the mean age (SD) was 74.3 (9.2) years; 3213 were cognitively unimpaired, 972 had mild cognitive impairment, and 282 had AD dementia.
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There are meaningful differences in the readability of patient information generated by different large language models.
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Symptom extraction across the 7 domains achieved high accuracy with AUROCs ranging from 0.97 to 0.99.
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Predicting the transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) has important clinical significance for dementia prevention and improving patient prognosis.
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Cognitive performance in mild AD improved following tACS, with increased FC within cortical networks and between the hippocampus and specific cortical regions.
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Aggression in patients with dementia poses significant caregiving and clinical issues.
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Actigraphy accurately identifies different dementia etiologies and could serve as a supplement to diagnostic investigations in patients with suspected AD for differential diagnostic purposes.
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PWAbS revealed elevated gross autoantibody levels in AD and DLB patients compared to CNIs.
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In the complex realm of cognitive disorders, Alzheimer's disease (AD) and vascular dementia (VaD) are the two most prevalent dementia types, presenting entangled symptoms yet requiring distinct treatment approaches.
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The results may contribute to refining current diagnostic techniques, promoting earlier detection, and assisting in the development of advanced tools for accurate brain tumor diagnosis and treatment planning.
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Females had higher rates of positive amyloid PET visual reads (63% vs. 59%, P < 0.001) and higher Centiloids (CLs; median 48.7 vs. 36.8, p < 0.001).
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Penyakit Alzheimer adalah jenis demensia akibat kerusakan pada neuron otak yang memengaruhi memori, bahasa, dan berpikir.
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28/100
Alzheimer's disease is a neurodegenerative disorder affecting millions globally, with early detection being critical for effective management.
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Alzheimers disease (AD) represents the most prevalent form of dementia, affecting millions worldwide and posing significant public health challenges.
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Research interest in the application of electroencephalogram (EEG) as a non-invasive diagnostic tool for the automated detection of neurodegenerative diseases is growing.
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DNA methylation is a critical epigenetic mechanism involved in numerous physiological processes.
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Machine learning (ML) on structural MRI data shows high potential for classifying Alzheimer's disease (AD) progression, but the specific contribution of brain regions, demographics, and proteinopathy remains unclear.
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Alzheimer's disease (AD) is characterized by deficits in cognition, behavior, and intellectual functioning, and Mild Cognitive Impairment (MCI) refers to individuals whose cognitive impairment deviates from what is expected for their age but does not significantly interfere with daily activities.
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31/100
Alzheimer’s disease (AD) is a progressive neurodegenerative condition that affects the elderly population.
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Patients with dementia face increased risks after general anesthesia.
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Amyloid-PET demonstrated high sensitivity (100% in year 1, 94.67% in year 4) and a high negative predictive value (100% in year 1, 88.24% in year 4).
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Data from 17 107 individuals (321 Asian, 635 Black, 829 Hispanic, and 15 322 White) with MCI or dementia and amyloid PET were analyzed between April 2020 and January 2022.
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AD patients had significantly higher AD-RAI (0.91 ± 0.25) and more pronounced hippocampal atrophy (0.36 ± 0.09) compared to MCI and HC (P 0.9 for distinguishing BPSD from non-BPSD patients.
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Alzheimer's dementia (AD) is a degenerative brain disease characterized by a decline in cognitive function and memory.
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The study highlights the potential of integrating 18 F-FDG-PET with CSF biomarkers to improve the diagnosis, prognosis, and monitoring of AD, emphasizing the complexity and regional specificity of biomarker interactions in neurodegeneration.
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The advent of disease-modifying therapies for neurodegenerative diseases may result in a growing demand for nuclear neuroimaging procedures presenting opportunities but also challenges to the nuclear medicine community.
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The GBT model achieved the best AUC-ROC scores of 0.809-0.833 across 1- to 5-year prediction windows.
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In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined with a convolutional neural network (CNN) model designed to classify four stages of Alzheimer's disease (AD): Mild Dementia (MD), Moderate Dementia (MOD), Non-Demented (ND), and Very Mild Dementia (VMD).
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We evaluated 62 Automated speech analysis demonstrated high accuracy in differentiating FTD subtypes and provided insights into the neural basis of language impairments.
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Alzheimer's disease (AD) is a memory and cognitive function neurodegenerative disease.
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A progressive neurological disease, Alzheimer's disease (AD) is identified by cognitive decline and memory loss.
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Greater intra-group heterogeneity in ATN abnormality patterns was observed in more severe clinical stages of AD.
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Dementia is a growing global health concern that significantly impacts the quality of life for millions of individuals and imposes substantial burdens on healthcare systems.
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This approach predicts clinical progression (2-year Clinical Dementia Rating Sum of Boxes change > 1) with an area under the curve of 0.836.
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Early and accurate diagnosis of Alzheimer's disease (AD) will be key for effective personalized treatment plans ( Cummings, 2023).
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This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI).
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MobileNet achieved the highest overall performance, with an accuracy of 99.44%.
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weighted MRI can assess macro-structural brain atrophy, diffusion tensor imaging (DTI) unveils these hidden microstructural alterations.
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BPSD severity was independent from cognitive impairment, vascular impairment, white matter lesions and ApoE status.
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The subdivisions exhibit different pathways, terminations, and structural characteristics.
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Nine phase 3 RCT cohorts from 8 eligible studies were identified, analyzing data from 6,315 patients.
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< 0.001). Shape features demonstrated the highest predictive accuracy for conversion, with areas under the curve of 0.891 at baseline and 0.898 at 2 years.
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Comorbid cardiovascular and metabolic risk factors (CVM) differentially impact brain structure and increase dementia risk, but their specific magnetic resonance imaging signatures (MRI) remain poorly characterized.
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Mutations in the Integral membrane protein 2B (ITM2B) gene are linked to the development of familial British and Danish dementias, two relatively early-onset dementia disorders known also to be associated with Tau neurofibrillary tangles (NFTs).
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53/100
Amyloid burden is an important prognostic marker in a clinically heterogeneous cohort.
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The FCAAS-4 achieved a mean area under the receiver operating characteristic curve (AUC-ROC) of 0.74 (95% confidence interval: 0.71-0.77) and a Harrell generalized c-index of 0.72 (0.70-0.75).
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The deep-learning network was capable of learning the task of delineating pathologic and normal findings within minutes on a standard PC and performing the classification task with 100% accuracy in less than 1 millisecond per case.
From across this tag
10 of the 840 studies in this tag, 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.
- Magnetic resonance imaging of iron deposition in neurological disorders
- Head-to-head comparison of 11C-PiB and 18F-AZD4694 (NAV4694) for β-amyloid imaging in aging and dementia
- Identification of famous faces and famous names in early Alzheimer's disease. Relationship to anterograde episodic and general semantic memory
- Comprehension of an Elevated Amyloid Positron Emission Tomography Biomarker Result by Cognitively Normal Older Adults
- PET-guided Assessment of Amyloid Clearance and Outcomes in a Real-World Cohort of Patients with Alzheimer Disease undergoing Anti-Amyloid Therapy
- Distinct Brain Functional Impairment Patterns Between Suspected Non-Alzheimer Disease Pathophysiology and Alzheimer's Disease: A Study Combining Static and Dynamic Functional Magnetic Resonance Imaging
- Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease
- The Alzheimer's Disease Centers' Uniform Data Set (UDS): the neuropsychologic test battery
- 'In the course of time': a PET study of the cerebral substrates of autobiographical amnesia in Alzheimer's disease
- Neuropathological evaluation of the Boston Criteria v2.0 for cerebral amyloid angiopathy in Alzheimer's disease dementia