Results 111 to 120 of about 37,609 (272)

Studying Genetic Risk in the Conduct of Everyday Life

Outlines, 2003
This article is a revised version of a talk given in lieu of the Ph.D. dissertation: "Huntington´s Disease in Everyday Life. Knowledge, Ignorance and Genetic Risk".
Lotte Huniche
doaj  

Automatic selection model to identify neurodegenerative diseases

Digital Health
Objective This study evaluates machine learning algorithms’ effectiveness in classifying Parkinson’s disease and Huntington’s disease based on biomarker data obtained non-invasively from patients and healthy controls.
Eddy Sánchez-DelaCruz, Cecilia-Irene Loeza-Mejía, César Primero-Huerta, Mirta Fuentes-Ramos   +3 more
doaj   +1 more source

Somatic CAG Repeat Stability in a Transgenic Sheep Model of Huntington's Disease

Somatic instability of the huntingtin (HTT) CAG repeat mutation modifies age-at-onset of Huntington's disease (HD). Understanding the mechanism and pathogenic consequences of instability may reveal therapeutic targets.
Burch, Zoe, Gillis, Tammy, McLaughlin, Clive J, Snell, Russell G, Jacobsen, Jessie C, Reid, Suzanne J, Correia, Kevin, MacDonald, Marcy E, Rudiger, Skye R, Bawden, C Simon, Wheeler, Vanessa C, Handley, Renee R   +11 more
core   +1 more source

Huntingtin as an Actin Organizer: Structural and Functional Insights

Cytoskeleton, EarlyView.
M. Capizzi, S. Humbert
wiley   +1 more source

Sex Differences in Fall Frequency, Risk Factors, and Outcomes in Parkinson's Disease: A Cross‐Sectional Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Female sex is an independent fall risk factor in Parkinson's disease (PD), yet sex‐specific fall patterns remain unclear. Objectives To compare sex‐specific fall risk and outcomes across PD, prodromal alpha‐synucleinopathy (PAS), and healthy controls (HC); estimate fall frequency across PD progression; and assess how sex modifies ...
Joaquin A. Vizcarra, Kat Hefter, David‐Erick Lafontant, Michael Tran Duong, Ashkan Ertefaie, Brian Litt, Dani S. Bassett, Andrew Siderowf, The Parkinson's Progression Markers Initiative, Kenneth Marek, Caroline Tanner, Tanya Simuni, Andrew Siderowf, Douglas Galasko, Lana Chahine, Christopher Coffey, Kalpana Merchant, Kathleen Poston, Roseanne Dobkin, Tatiana Foroud, Brit Mollenhauer, Dan Weintraub, Ethan Brown, Karl Kieburtz, Mark Frasier, Todd Sherer, Sohini Chowdhury, Roy Alcalay, Aleksandar Videnovic, Duygu Tosun‐Turgut, Werner Poewe, Susan Bressman, Jan Hammer, Raymond James, Ekemini Riley, John Seibyl, Leslie Shaw, David Standaert, Sneha Mantri, Nabila Dahodwala, Michael Schwarzschild, Connie Marras, Hubert Fernandez, Ira Shoulson, Helen Rowbotham, Paola Casalin, Claudia Trenkwalder, Todd Sherer, Sohini Chowdhury, Mark Frasier, Jamie Eberling, Katie Kopil, Alyssa O’Grady, Maggie McGuire Kuhl, Leslie Kirsch, Tawny Willson, Emily Flagg, Tanya Simuni, Bridget McMahon, Craig Stanley, Kim Fabrizio, Dixie Ecklund, Trevis Huff, Tatiana Foroud, Laura Heathers, Christopher Hobbick, Gena Antonopoulos, John Seibyl, Kathleen Poston, Christopher Coffey, Chelsea Caspell‐Garcia, Michael Brumm, Bioinformatics Core, Arthur Toga, Karen Crawford, Tatiana Foroud, Jan Hamer, Brit Mollenhauer, Doug Galasko, Kalpana Merchant, Andrew Singleton, Tatiana Foroud, Thomas Montine, Caroline Tanner, Carlie Tanner, Ethan Brown, Lana Chahine, Roseann Dobkin, Monica Korell, Charles Adler, Roy Alcalay, Amy Amara, Paolo Barone, Bastiaan Bloem, Kathrin Brockmann, Norbert Brüggemann, Lana Chahine, Kelvin Chou, Nabila Dahodwala, Alberto Espay, Stewart Factor, Hubert Fernandez, Michelle Fullard, Douglas Galasko, Penelope Hogarth, Shu‐Ching Hu, Michele Hu, Stuart Isaacson, Christine Klein, Rejko Krueger, Mark Lew, Zoltan Mari, Connie Marras, Maria Jose Martí, Nikolaus McFarland, Tiago Mestre, Brit Mollenhauer, Emile Moukheiber, Alastair Noyce, Wolfgang Oertel, Njideka Okubadejo, Sarah O’Shea, Rajesh Pahwa, Nicola Pavese, Werner Poewe, Ron Postuma, Giulietta Riboldi, Lauren Ruffrage, Javier Ruiz Martinez, David Russell, Marie H. Saint‐Hilaire, Neil Santos, Wesley Schlett, Ruth Schneider, Holly Shill, David Shprecher, Tanya Simuni, David Standaert, Leonidas Stefanis, Yen Tai, Caroline Tanner, Arjun Tarakad, Eduardo Tolosa, Aleksandar Videnovic, Susan Ainscough, Courtney Blair, Erica Botting, Isabella Chung, Kelly Clark, Ioana Croitoru, Kelly DeLano, Iris Egner, Fahrial Esha, May Eshel, Frank Ferrari, Victoria Kate Foster, Alicia Garrido, Madita. Grümmer, Bethzaida Herrera, Ella Hilt, Chloe Huntzinger, Raymond James, Farah Kausar, Christos Koros, Yara Krasowski, Dustin Le, Ying Liu, Taina M. Marques, Helen Mejia Santana, Sherri Mosovsky, Jennifer Mule, Philip Ng, Lauren O’Brien, Abiola Ogunleye, Oluwadamilola Ojo, Obi Onyinanya, Lisbeth Pennente, Romina Perrotti, Michael Pileggi, Ashwini Ramachandran, Deborah Raymond, Jamil Razzaque, Shawna Reddie, Kori Ribb, Kyle Rizer, Janelle Rodriguez, Stephanie Roman, Clarissa Sanchez, Cristina Simonet, Anisha Singh, Elisabeth Sittig, Angela Stovall, Bobbie Stubbeman, Alejandra Valenzuela, Catherine Wandell, Diana Willeke, Karen Williams, Dilinuer Wubuli   +197 more
wiley   +1 more source

Stability effects on results of diffusion tensor imaging analysis by reduction of the number of gradient directions due to motion artifacts: an application to presymptomatic Huntington's disease.

, 2011
In diffusion tensor imaging (DTI), an improvement in the signal-to-noise ratio (SNR) of the fractional anisotropy (FA) maps can be obtained when the number of recorded gradient directions (GD) is increased.
Müller, HP, Kassubek, J, Landwehrmeyer, GB, Kloppel, S, Tabrizi, SJ, Süssmuth, SD, Ludolph, A   +6 more
core  

Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration.

, 2013
Understanding brain reserve in preclinical stages of neurodegenerative disorders allows determination of which brain regions contribute to normal functioning despite accelerated neuronal loss.
Scheller, Elisa, Peter, J, Peter, Jessica, Scheller, E., Peter, J., Abdulkadir, Ahmed, Frackowiak, Richard S. J., Frackowiak, R.S., Klöppel, Stefan, Tabrizi, S.J., Frackowiak, Richard S.J., Abdulkadir, A, Tabrizi, SJ, Frackowiak, RS, Scheller, E, Klöppel, S., Tabrizi, Sarah J., Abdulkadir, A., Klöppel, S   +18 more
core   +1 more source

Bioinformatics analysis of the molecular mechanism underlying Huntington's disease

Journal of Integrative Neuroscience, 2019
We explore the underlying molecular mechanisms and to identify key molecules in Huntington's disease by utilizing bioinformatics methods. The gene expression profile of GSE3621 was extracted from the gene expression omnibus.
Zhimin Wang, Xiaoyu Dong, Shuyan Cong
doaj   +1 more source

The DIKW of Transcriptomics in Ecotoxicology: Extracting Information, Knowledge, and Wisdom From Big Data

Environmental Toxicology and Chemistry, EarlyView.
Jessica A. Head, Jessica D. Ewald, Niladri Basu   +2 more
wiley   +1 more source

Systematic Review of the Huntington's Disease Drug Development Pipeline, 2014 to 2025

Movement Disorders, EarlyView.
Abstract Background In the past decade, significant advances have improved our understanding of the mechanisms underlying HD pathobiology leading to several putative therapeutic targets for HD. Objective The aim was to describe the Huntington's disease (HD) drug development clinical pipeline.
Pavlina Konstantinova, Jenny Townhill, Juliana Bronzova, Viktoria Andreeva, Swati Sathe, Cristina Sampaio   +5 more
wiley   +1 more source