Results 81 to 90 of about 9,230,509 (381)

A dynamic mechanism of Alzheimer based on artificial neural network [PDF]

arXiv, 2014
In this paper, we provide another angle to analyze the reasons why Alzheimer Disease exists. We analyze the dynamic mechanism of Alzheimer Disease based on the cognitive model that established from artificial neural network. We can provide some theoretic explanations to Alzheimer Disease through the analyzing of this model.
arxiv  

Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Several genetic loci known to confer risk for Parkinson's disease (PD) function in lysosomal pathways. We systematically screened common variants linked to PD risk by genome‐wide association studies (GWAS) for impact on cerebrospinal fluid (CSF) proteins reflecting lysosomal function.
Hanwen Zhang, Daniel Kargilis, Thomas Tropea, John Robinson, Junchao Shen, Eliza M. Brody, Ann Brinkmalm, Simon Sjödin, Adama J. Berndt, Marc Carceles‐Cordon, EunRan Suh, Vivianna M. Van Deerlin, Kaj Blennow, Daniel Weintraub, Edward B. Lee, Henrik Zetterberg, Alice S. Chen‐Plotkin   +16 more
wiley   +1 more source

Associations of renin–angiotensin system inhibitor use with brain insulin signaling and neuropathology

Annals of Clinical and Translational Neurology
Objective To examine the associations of renin–angiotensin system (RAS) inhibitor use with postmortem brain insulin signaling and neuropathology. Methods Among Religious Orders Study participants, 150 deceased and autopsied older individuals (75 with ...
Han Tong, Ana W. Capuano, Rupal I. Mehta, Ajay Sood, David A. Bennett, Rexford S. Ahima, Steven E. Arnold, Zoe Arvanitakis   +7 more
doaj   +1 more source

Relationship of cognitive decline with glucocerebrosidase activity and amyloid‐beta 42 in DLB and PD

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objective Dementia with Lewy bodies (DLB) and Parkinson's disease (PD) share clinical, pathological, and genetic risk factors, including GBA1 and APOEε4 mutations. Biomarkers associated with the pathways of these mutations, such as glucocerebrosidase enzyme (GCase) activity and amyloid‐beta 42 (Aβ42) levels, may hold potential as predictive ...
Maria Camila Gonzalez, Linn Oftedal, Johannes Lange, Diego Alejandro Tovar‐Rios, Ole‐Bjørn Tysnes, Claire Paquet, Marta Marquié, Mercè Boada, Daniel Alcolea, Konrad Rejdak, Ewa Papuc, Jakub Hort, Cristian Falup‐Pecurariu, Dag Aarsland, Guido Alves, Jodi Maple‐Grødem   +15 more
wiley   +1 more source

An Ensemble of Deep Convolutional Neural Networks for Alzheimer's Disease Detection and Classification [PDF]

arXiv, 2017
Alzheimer's Disease destroys brain cells causing people to lose their memory, mental functions and ability to continue daily activities. It is a severe neurological brain disorder which is not curable, but earlier detection of Alzheimer's Disease can help for proper treatment and to prevent brain tissue damage. Detection and classification of Alzheimer'
arxiv  

Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease [PDF]

arXiv, 2023
Early diagnosis of Alzheimer's disease (AD) is essential in preventing the disease's progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonance imaging (sMRI) has been a topic of intense investigation in recent years. Deep learning has gained considerable attention in Alzheimer's detection.
arxiv  

TREM2 variants in Alzheimer's disease.

New England Journal of Medicine, 2013
BACKGROUND Homozygous loss-of-function mutations in TREM2, encoding the triggering receptor expressed on myeloid cells 2 protein, have previously been associated with an autosomal recessive form of early-onset dementia.
R. Guerreiro, Aleksandra M. Wojtas, J. Bras, M. Carrasquillo, E. Rogaeva, E. Majounie, Carlos Cruchaga, C. Sassi, J. Kauwe, S. Younkin, L. Hazrati, J. Collinge, J. Pocock, T. Lashley, Julie Williams, J. Lambert, P. Amouyel, A. Goate, R. Rademakers, K. Morgan, J. Powell, P. S. St George-Hyslop, A. Singleton, J. Hardy   +23 more
semanticscholar   +1 more source

Evidence of blood–brain barrier dysfunction and CSF immunoglobulin synthesis in Down Syndrome Regression Disorder

Annals of Clinical and Translational Neurology, EarlyView.
Abstract Objectives This study sought to evaluate proteomic, metabolomic, and immune signatures in the cerebrospinal fluid of individuals with Down Syndrome Regression Disorder (DSRD). Methods A prospective case–control study comparing proteomic, metabolomic, and immune profiles in individuals with DSRD was performed.
Jonathan D. Santoro, Neetha Paul Eduthan, Mellad M. Khoshnood, Saba Jafarpour, Natalie K. Boyd, Benjamin N. Vogel, Lina Nguyen, Lilia Kazerooni, Eleanor Britton, Hannah R. Lyford, Matthew D. Galbraith, Angela L. Rachubinski, Joaquin M. Espinosa   +12 more
wiley   +1 more source

A service‐oriented approach to clinical trial recruitment for dementia and brain health: Methods and case examples of MyAlliance for Brain Health

Alzheimer’s & Dementia: Translational Research & Clinical Interventions
INTRODUCTION Recruitment of sufficient and diverse participants into clinical research for Alzheimer's disease and related dementias remains a formidable challenge.
Eric D. Vidoni, Emma Swinford, Kelli Barton, Jaime Perales‐Puchalt, C. Michelle Niedens, Tina Lewandowski, Tiffany Schwasinger‐Schmidt, Jill Peltzer, JoEllen Wurth, Jannette Berkley‐Patton, Ryan A. Townley, W. Todd Moore, Ashley R. Shaw, Mickeal N. Key, Erica Andrade, Melissa Robinson, Susan Sprague, Aiden Bondurant, Debra Brook, Jennifer Freund, Jeffrey M. Burns   +20 more
doaj   +1 more source

Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans [PDF]

arXiv, 2020
Alzheimer's disease is one of the diseases that mostly affects older people without being a part of aging. The most common symptoms include problems with communicating and abstract thinking, as well as disorientation. It is important to detect Alzheimer's disease in early stages so that cognitive functioning would be improved by medication and training.
arxiv