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Temporal tau asymmetry spectrum influences divergent behavior and language patterns in Alzheimer's disease.
Younes K, Smith V, Johns E, Carlson ML, Winer J, He Z, Henderson VW, Greicius MD, Young CB, Mormino EC; Alzheimer's Disease Neuroimaging Initiative Researchers. Younes K, et al. Brain Behav Immun. 2024 May 4:S0889-1591(24)00390-8. doi: 10.1016/j.bbi.2024.05.002. Online ahead of print. Brain Behav Immun. 2024. PMID: 38710339
This cross-sectional study investigated the correlation between temporal tau PET asymmetry and behavior assessed using the neuropsychiatric inventory and composite scores for memory, executive function, and language, using data from the Alzheimer's Disease Neuroimaging Initiative …
This cross-sectional study investigated the correlation between temporal tau PET asymmetry and behavior assessed using the neuropsychiatric …
Predicting Alzheimer's progression in MCI: a DTI-based white matter network model.
Song Q, Peng J, Shu Z, Xu Y, Shao Y, Yu W, Yu L. Song Q, et al. BMC Med Imaging. 2024 May 3;24(1):103. doi: 10.1186/s12880-024-01284-7. BMC Med Imaging. 2024. PMID: 38702626 Free PMC article.
METHODS: This study enrolled 121 MCI patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Among them, 36 progressed to AD after four years of follow-up. ...
METHODS: This study enrolled 121 MCI patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Among them, 36 progressed …
Unraveling the genetic architecture of blood unfolded p-53 among non-demented elderlies: novel candidate genes for early Alzheimer's disease.
Yaghoobi A, Malekpour SA. Yaghoobi A, et al. BMC Genomics. 2024 May 3;25(1):440. doi: 10.1186/s12864-024-10363-6. BMC Genomics. 2024. PMID: 38702606 Free PMC article.
RESULTS: We performed a blood U-p53 Genome-wide association study (GWAS) on 484 healthy and mild cognitively impaired subjects from the ADNI cohort using 612,843 Single nucleotide polymorphisms (SNPs). ...We validated the candidate genes in an independent brain single-cell …
RESULTS: We performed a blood U-p53 Genome-wide association study (GWAS) on 484 healthy and mild cognitively impaired subjects from the A …
Predicting amyloid-PET and clinical conversion in apolipoprotein E ε3/ε3 non-demented individuals with multidimensional factors.
Xu L, Ren C, Jing C, Wang G, Wei H, Kong M, Ba M; for Alzheimer's Disease Neuroimaging Initiative. Xu L, et al. Eur J Neurosci. 2024 May 2. doi: 10.1111/ejn.16376. Online ahead of print. Eur J Neurosci. 2024. PMID: 38698692
Two hundred and ninety-three non-demented individuals with APOE epsilon3/epsilon3 from ADNI database were divided into Abeta-positron emission tomography (Abeta-PET) positivity (+) and Abeta-PET negativity (-) groups using cut-off value of >1.11. ...
Two hundred and ninety-three non-demented individuals with APOE epsilon3/epsilon3 from ADNI database were divided into Abeta-positron …
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis.
Zuo Q, Li R, Shi B, Hong J, Zhu Y, Chen X, Wu Y, Guo J. Zuo Q, et al. Front Comput Neurosci. 2024 Apr 17;18:1387004. doi: 10.3389/fncom.2024.1387004. eCollection 2024. Front Comput Neurosci. 2024. PMID: 38694950 Free PMC article.
RESULTS: We theoretically tested our model on the public Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, and our experiments demonstrate that the proposed model outperforms existing methods in terms of both quantitative metrics and qualitative assessments. ...
RESULTS: We theoretically tested our model on the public Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset, and our experime …
PINet: Privileged Information Improve the Interpretablity and generalization of structural MRI in Alzheimer's Disease.
Tang Z, Zhang T, Song Q, Su J, Yang B. Tang Z, et al. ACM BCB. 2023 Sep;2023:47. doi: 10.1145/3584371.3613000. Epub 2023 Oct 4. ACM BCB. 2023. PMID: 38694619 Free PMC article.
PINet was suitable for neuro-imaging tasks and we demonstrated its application in Alzheimer's Disease using structural MRI scans from ADNI dataset. During the experiments, we employed the abnormal brain structures such as the Hippocampus as the PI, trained the model with t …
PINet was suitable for neuro-imaging tasks and we demonstrated its application in Alzheimer's Disease using structural MRI scans from ADN …
Impact of serum leptin and adiponectin levels on brain infarcts in patients with mild cognitive impairment and Alzheimer's disease: a longitudinal analysis.
Carbone G, Bencivenga L, Santoro MA, De Lucia N, Palaia ME, Ercolano E, Scognamiglio F, Edison P, Ferrara N, Vitale DF, Rengo G, Femminella GD. Carbone G, et al. Front Endocrinol (Lausanne). 2024 Apr 15;15:1389014. doi: 10.3389/fendo.2024.1389014. eCollection 2024. Front Endocrinol (Lausanne). 2024. PMID: 38686200 Free PMC article.
In this study we analyzed the relationship between serum leptin and adiponectin levels and the onset or progression of brain infarcts in subjects with mild cognitive impairment (MCI) and Alzheimer's disease (AD). METHODS: All data were extracted from the ADNI database. The …
In this study we analyzed the relationship between serum leptin and adiponectin levels and the onset or progression of brain infarcts in sub …
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.
Tandon R, Kirkpatrick A, Mitchell CS. Tandon R, et al. Inf Process Med Imaging. 2023 Jun;13939:208-221. doi: 10.1007/978-3-031-34048-2_17. Epub 2023 Jun 8. Inf Process Med Imaging. 2023. PMID: 38680427 Free PMC article.
A real-world clinical application of sEBM is performed using 119 neuroimaging markers from publicly available Alzheimer's Disease Neuroimaging Initiative (ADNI) data to stratify subjects into 6 stages of disease progression. ...
A real-world clinical application of sEBM is performed using 119 neuroimaging markers from publicly available Alzheimer's Disease Neuroimagi …
Identifying Progression-Specific Alzheimer's Subtypes Using Multimodal Transformer.
Machado Reyes D, Chao H, Hahn J, Shen L, Yan P, For The Alzheimer's Disease Neuroimaging Initiative. Machado Reyes D, et al. J Pers Med. 2024 Apr 15;14(4):421. doi: 10.3390/jpm14040421. J Pers Med. 2024. PMID: 38673048 Free PMC article.
In our framework, we introduce a tri-modal co-attention mechanism (Tri-COAT) to explicitly capture cross-modal feature associations. Data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) (slow progressing = 177, intermediate = 302, and fast = 15) were used to tr …
In our framework, we introduce a tri-modal co-attention mechanism (Tri-COAT) to explicitly capture cross-modal feature associations. Data fr …
Integrating Demographics and Imaging Features for Various Stages of Dementia Classification: Feed Forward Neural Network Multi-Class Approach.
Cheung EYW, Wu RWK, Chu ESM, Mak HKF. Cheung EYW, et al. Biomedicines. 2024 Apr 18;12(4):896. doi: 10.3390/biomedicines12040896. Biomedicines. 2024. PMID: 38672253 Free PMC article.
In this study, volumetry, radiomics and demographics were integrated as inputs to develop an artificial intelligence model for various stages, including Alzheimer's disease (AD), mild cognitive decline (MCI) and cognitive normal (CN) dementia classifications. METHOD: The Alzheime …
In this study, volumetry, radiomics and demographics were integrated as inputs to develop an artificial intelligence model for various stage …
2,969 results