Search Results - "for the Alzheimer’s Disease Neuroimaging Initiative"

Using radiomics-based modelling to predict individual progression from mild cognitive impairment to Alzheimer’s disease by Jiang, Jiehui, Wang, Min, Alberts, Ian, Sun, Xiaoming, Li, Taoran, Rominger, Axel, Zuo, Chuantao, Han, Ying, Shi, Kuangyu, Initiative, for the Alzheimer’s Disease Neuroimaging

“…Background Predicting the risk of disease progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD) has important clinical significance…”
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ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets by Salimi, Yasamin, Domingo-Fernández, Daniel, Bobis-Álvarez, Carlos, Hofmann-Apitius, Martin, Birkenbihl, Colin

“…Currently, Alzheimer's disease (AD) cohort datasets are difficult to find and lack across-cohort interoperability, and the actual content of publicly available…”
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Structural Brain Imaging Phenotypes of Mild Cognitive Impairment (MCI) and Alzheimer’s Disease (AD) Found by Hierarchical Clustering by Tohka, Jussi, Zare, Marzieh, Prakash, Mithilesh, Kärkkäinen, Mikko, Neuroimaging Initiative, The Alzheimer’s Disease

“…A hierarchical clustering algorithm was applied to magnetic resonance images (MRI) of a cohort of 751 subjects having a mild cognitive impairment (MCI), 282…”
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A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture by Suárez-Araujo, Carmen Paz, García Báez, Patricio, Cabrera-León, Ylermi, Prochazka, Ales, Rodríguez Espinosa, Norberto, Fernández Viadero, Carlos, Neuroimaging Initiative, for the Alzheimer’s Disease

“…Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties…”
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Everyday cognition scale items that best discriminate between and predict progression from clinically normal to mild cognitive impairment by Marshall, Gad A, Zoller, Amy S, Kelly, Kathleen E, Amariglio, Rebecca E, Locascio, Joseph J, Johnson, Keith A, Sperling, Reisa A, Rentz, Dorene M, For The Alzheimer's Disease Neuroimaging Initiative

“…Impairment in instrumental activities of daily living (IADL) starts as individuals with amnestic mild cognitive impairment (MCI) transition to Alzheimer's…”
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Differential co-expression analysis reveals early stage transcriptomic decoupling in alzheimer's disease by Upadhyaya, Yurika, Xie, Linhui, Salama, Paul, Cao, Sha, Nho, Kwangsik, Saykin, Andrew J, Yan, Jingwen, Alzheimer's Disease Neuroimaging Initiative, For The

“…Alzheimer's disease (AD) is one of the leading causes of death in the US and there is no validated drugs to stop, slow or prevent AD. Despite tremendous effort…”
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Journey to the other side of the brain: asymmetry in patients with chronic mild or moderate traumatic brain injury by Ross, David E, Seabaugh, John D, Seabaugh, Jan M, Alvarez, Claudia, Ellis, Laura Peyton, Powell, Christopher, Reese, Christopher, Cooper, Leah, Shepherd, Katherine, Alzheimer's Disease Neuroimaging Initiative, For The

“…Patients with chronic mild or moderate traumatic brain injury have some regions of brain atrophy (including cerebral white matter) but even more regions of…”
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Standardized quality metric system for structural brain magnetic resonance images in multi-center neuroimaging study by Osadebey, Michael E, Pedersen, Marius, Arnold, Douglas L, Wendel-Mitoraj, Katrina E, Alzheimer's Disease Neuroimaging Initiative, For The

“…Multi-site neuroimaging offer several benefits and poses tough challenges in the drug development process. Although MRI protocol and clinical guidelines…”
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The Objective Dementia Severity Scale Based on MRI with Contrastive Learning: A Whole Brain Neuroimaging Perspective by Zhang, Yike, Fan, Wenliang, Chen, Xi, Li, Wei, On Behalf Of The For Alzheimer's Disease Neuroimaging Initiative

“…In the clinical treatment of Alzheimer's disease, one of the most important tasks is evaluating its severity for diagnosis and therapy. However, traditional…”
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Analyzing heterogeneity in biomarker discriminative performance through partial time-dependent receiver operating characteristic curve modeling by Jiang, Xinyang, Li, Wen, Wang, Kang, Li, Ruosha, Ning, Jing

“…This study investigates the heterogeneity of a biomarker’s discriminative performance for predicting subsequent time-to-event outcomes across different patient…”
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Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer's disease by Zhan, Liang, Zhou, Jiayu, Wang, Yalin, Jin, Yan, Jahanshad, Neda, Prasad, Gautam, Nir, Talia M, Leonardo, Cassandra D, Ye, Jieping, Thompson, Paul M, For The Alzheimer's Disease Neuroimaging Initiative

“…Alzheimer's disease (AD) involves a gradual breakdown of brain connectivity, and network analyses offer a promising new approach to track and understand…”
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Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment by Dang, Mingxi, Yang, Caishui, Chen, Kewei, Lu, Peng, Li, He, Zhang, Zhanjun

“…Mild cognitive impairment (MCI) has been thought of as the transitional stage between normal ageing and Alzheimer's disease, involving substantial changes in…”
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Analysis of Brain Age Gap across Subject Cohorts and Prediction Model Architectures by Dular, Lara, Špiclin, Žiga, For The Alzheimer's Disease Neuroimaging Initiative, The Australian Imaging Biomarkers And Lifestyle Flagship Study Of Ageing

“…Brain age prediction from brain MRI scans and the resulting brain age gap (BAG)-the difference between predicted brain age and chronological age-is a general…”
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Sex Differences in Conversion Risk from Mild Cognitive Impairment to Alzheimer's Disease: An Explainable Machine Learning Study with Random Survival Forests and SHAP by Sarica, Alessia, Pelagi, Assunta, Aracri, Federica, Arcuri, Fulvia, Quattrone, Aldo, Quattrone, Andrea, For The Alzheimer's Disease Neuroimaging Initiative

“…Alzheimer's disease (AD) exhibits sex-linked variations, with women having a higher prevalence, and little is known about the sexual dimorphism in progressing…”
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Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study by Redolfi, Alberto, Manset, David, Barkhof, Frederik, Wahlund, Lars-Olof, Glatard, Tristan, Mangin, Jean-François, Frisoni, Giovanni B

“…The measurement of cortical shrinkage is a candidate marker of disease progression in Alzheimer's. This study evaluated the performance of two pipelines:…”
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Association of CSF GAP-43 and APOE ε4 with Cognition in Mild Cognitive Impairment and Alzheimer's Disease by Zhu, Yueli, Guo, Xiaoming, Zhu, Feng, Zhang, Qin, Yang, Yunmei, For The Alzheimer's Disease Neuroimaging Initiative

“…The growth-associated protein 43 (GAP-43) is a presynaptic phosphoprotein in cerebrospinal fluid (CSF). The ε4 allele of apolipoprotein E ( ) is an important…”
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Detection of Alzheimer's Disease Using Logistic Regression and Clock Drawing Errors by Lazarova, Sophia, Grigorova, Denitsa, Petrova-Antonova, Dessislava, For The Alzheimer's Disease Neuroimaging Initiative

“…Alzheimer's disease is an incurable disorder that accounts for up to 70% of all dementia cases. While the prevalence of Alzheimer's disease and other types of…”
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BRAPH: A graph theory software for the analysis of brain connectivity by Mijalkov, Mite, Kakaei, Ehsan, Pereira, Joana B, Westman, Eric, Volpe, Giovanni

“…The brain is a large-scale complex network whose workings rely on the interaction between its various regions. In the past few years, the organization of the…”
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Item-Level Scores on the Boston Naming Test as an Independent Predictor of Perirhinal Volume in Individuals with Mild Cognitive Impairment by De Marco, Matteo, Bocchetta, Martina, Venneri, Annalena, For The Alzheimer's Disease Neuroimaging Initiative

“…We explored the methodological value of an item-level scoring procedure applied to the Boston Naming Test (BNT), and the extent to which this scoring approach…”
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Random forest-based similarity measures for multi-modal classification of Alzheimer's disease by Gray, Katherine R., Aljabar, Paul, Heckemann, Rolf A., Hammers, Alexander, Rueckert, Daniel

“…Neurodegenerative disorders, such as Alzheimer's disease, are associated with changes in multiple neuroimaging and biological measures. These may provide…”
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