Results 111 to 120 of about 57,910 (287)

The Role of Magnetic Resonance Spectroscopy (MRS), Diffusion‐Tensor‐Imaging (DTI) and Structural MRI in the Alzheimer's Disease and Mild Cognitive Impairment Diagnosis: A Review

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Alzheimer's disease (AD) is one of the most common neurological disorders affecting older adults, with approximately 7.2 million cases only in the United States. This number is projected to increase to 13.8 million in the United States by 2060, leading to increased expenditures for healthcare, long‐term care and hospice services. Consequently,
Valentina Zecca, Gianmauro Palombelli, Nicola Vanacore, Rossella Canese   +3 more
wiley   +1 more source

miR‐9 Restricts Insulin Secretion by Targeting Rab34, Which Mediates Lysosomal Degradation of Proinsulin

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Insulin secretion is a complex, vesicular transport process. Rab34 is a key regulator of intracellular vesicle transport; however, its role in insulin secretion has not yet been reported. miRNA‐9 is vital for the development and progression of the diagnosis and treatment of type 2 diabetes. This study aimed to investigate whether miR‐9 targets
Zhen‐Zhen Guo, Ao‐Ying Li, Ting‐Ting Xiang, Zu‐Hao Zhang, Ao Deng, Yang Han   +5 more
wiley   +1 more source

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  

Current Literature [PDF]

, 1982
Material appearing below is thought to be of particular interest to Linacre Quarterly readers because of its moral, religious, or philosophic content. The medical literature constitutes the primary, but not the sole source of such material.
Catholic Physicians\u27 Guild
core   +1 more source

Striato-cortical connectivity patterns predict clinical profiles in Huntington’s disease

NeuroImage: Clinical
Background: Huntington’s disease is an inherited neurodegenerative disorder affecting striato-cortical circuits, with significant heterogeneity in the severity and progression of symptoms and neurodegenerative patterns.
Audrey E. De Paepe, Vasiliki Bikou, Eylül Turan, Alexis Pérez-Bellido, Clara Garcia-Gorro, Nadia Rodriguez-Dechicha, Irene Vaquer, Matilde Calopa, Ruth de Diego-Balaguer, Estela Camara   +9 more
doaj   +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 Spectrum of Abnormal Tongue Movements: Review of Phenomenology, Etiology, and Differential Diagnosis

Movement Disorders Clinical Practice, EarlyView.
ABSTRACT Background Classifying abnormal tongue movements is challenging due to their varied presentations and limited visibility compared to other body parts. Accurate identification of the phenomenology guides physical examination and can point to specific diagnoses.
Nathaniel Bendahan, Seyed‐Mohammad Fereshtehnejad, Christos Ganos, Emily Swinkin, Anthony E. Lang   +4 more
wiley   +1 more source

Huntingtin as an Actin Organizer: Structural and Functional Insights

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

Defining Quality of Life: The Perspective of People Living with Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Little is known about how people with Parkinson's conceptualize “quality of life.” Objective To describe the meaning of “quality of life” from the perspective of people with Parkinson's. Methods Participants (N = 42) were asked “What does the term ‘quality of life’ mean to you?” Definitions were analyzed using inductive qualitative ...
Samantha Dorrance, Richa Patel, Glenn T. Stebbins, Jamie L. Adams, Allison M. Allen, Tara Hastings, Soania Mathur, Onanong Phokaewvarangkul, Gary Rafaloff, Rajasumi Rajalingam, Anette Schrag, Christine Sun, Jennifer Mammen, Connie Marras   +13 more
wiley   +1 more source

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