Results 101 to 110 of about 112,978 (252)

Automated feature extraction from population wearable device data identified novel loci associated with sleep and circadian rhythms. [PDF]

PLoS Genet, 2020
Li X, Zhao H.
europepmc   +1 more source

Metabolic and Fluid Biomarkers Support Microglia Activation in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis is an incurable neurodegenerative disease involving motor neuron degeneration and metabolic and immune dysfunction. We combined clinical data, cerebrospinal fluid biomarkers and fluorodeoxyglucose positron emission tomography with magnetic resonance imaging to investigate the role of reactive microglia in disease ...
Matteo Zanovello, Francesca Serani, Alen Bebeti, Federica Paredi, Giulia Quadrio, Andrea Fortuna, Giacomo Maria Minicuci, Elena Pegoraro, Annachiara Cagnin, Diego Cecchin, Gianni Sorarù   +10 more
wiley   +1 more source

Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli, Karine Lacourse, Hélène Blais, Anne‐Sophie Deshaies‐Rugama, Cynthia Thompson, Alex Desautels, Jacques Montplaisir, Milan Nigam, Christophe Moderie, Boshra Khajehpiri, Catherine Duclos, Jean Marc Lina, Julie Carrier, Nadia Gosselin   +13 more
wiley   +1 more source

Generalized Dystonia With Cervical Predominance in a Patient With a De Novo TCF20 Variant

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT TCF20 has been implicated in developmental delay and intellectual disability, with dystonia reported less frequently. We describe a woman in her early twenties with childhood‐onset learning difficulties, progressive dysarthria, tremor, and generalized dystonia with marked cervical predominance, associated with a de novo TCF20 frameshift ...
Melisa Kilic, Petr Dusek, Ibrahim Kamaci, Bahar Gulmez, Gul Yalcin Cakmakli, Ersin Tan, Sibel Ugur Iseri, Zuhal Yapici   +7 more
wiley   +1 more source

A clinical guideline driven automated linear feature extraction for vestibular schwannoma

Medical Imaging 2024: Image Processing
Vestibular Schwannoma is a benign brain tumour that grows from one of the balance nerves. Patients may be treated by surgery, radiosurgery or with a conservative "wait-and-scan" strategy. Clinicians typically use manually extracted linear measurements to aid clinical decision making.
Navodini Wijethilake, Steve Connor, Anna Oviedova, Aaron Kujawa, Rebecca Burger, Tom Vercauteren, Jonathan Shapey   +6 more
openaire   +2 more sources

Dynamic Changes in Serum Glial Fibrillary Acidic Protein Levels Predicts Early Neurological Deterioration After Intravenous Thrombolysis in Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Minor strokes may be associated with early neurological deterioration (END) and disabilities. The objective was to investigate the role of serum glial fibrillary acidic protein (GFAP) levels in predicting END. Methods Data originated from a multicenter cohort study conducted prospectively.
Jie Zhou, Yang Qu, Reziya Abuduxukuer, Peng Zhang, Ting Wang, Jian‐Hua Gao, De‐Wang Pan, Zhi‐Mei Yuan, Chun‐Ying Li, Li‐Ping Chen, Jin‐Hua Chen, Ji‐Liang Gu, An‐Ying Wang, Li‐Gang Jiang, Liang Liu, Yong‐Fei Jiang, Chun‐Fei Wang, Yan Jia, Hong Xin, Chun‐Li Jiang, Ying‐Bin Qi, Xue‐Feng Hu, Song Li, Hang Jin, Zhen‐Ni Guo, Yi Yang, on behalf of the Biomarkers of Brain Injury Investigator Study Group, Lijuan Wang, Ting Wang, Jianhua Gao, Dewang Pan, Zhimei Yuan, Chunying Li, Liping Chen, Jinhua Chen, Jiliang Gu, Anying Wang, Ligang Jiang, Liang Liu, Yongfei Jiang, Chunfei Wang, Yan Jia, Hong Xin, Chunli Jiang, Yingbin Qi, Xuefeng Hu   +45 more
wiley   +1 more source

The Association of Amyloid‐β and Tau With Synaptic Dysfunction in Alzheimer's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the relative contributions of amyloid and tau to synaptic dysfunction in Alzheimer's disease (AD). Methods We included 109 cognitively unimpaired and impaired individuals from the Geneva Memory Center with available CSF synaptic biomarkers (neurogranin, SNAP‐25, GAP‐43). Participants were stratified according to amyloid (A)
Fausto Roveta, Augusto J. Mendes, Valentina Garibotto, Cecilia Boccalini, Aurelien Lathuiliere, Innocenzo Rainero, Elisa Rubino, Henrik Zetterberg, Nicholas J. Ashton, Federica Ribaldi, Giovanni B. Frisoni, for the Alzheimer's Disease Neuroimaging Initiative   +11 more
wiley   +1 more source

Dental arch classification using deep learning and federated learning on DenPAR radiographs

Scientific Reports
Automated analysis of dental radiographs can improve the efficiency and consistency of diagnostic workflows. This study proposes a deep learning and federated learning framework for dental arch classification using panoramic radiographs from the DenPAR ...
Abdullah Qureshi, Qurat Ul Ain Aini, Evgeny Solomin, Nadeem Ahmad, Zaki Uddin, Ahmad H. Milyani   +5 more
doaj   +1 more source

Four‐Year Cognitive Outcomes in Multiple Sclerosis: Associations With Lesion Myelin Integrity

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Cognitive impairment is prevalent in patients with multiple sclerosis (MS) but whether lesion myelin integrity influences future cognitive outcomes remains unclear. We investigated the relationship between baseline lesion myelin water fraction (MWF) and cognitive performance 4 years later.
Iliana Pliska‐Bloch, Hannah Schwartz, Kimberly H. Markowitz, Abhishek Jaywant, Christopher D. Hildenbrand, Jai Perumal, Ulrike W. Kaunzner, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

BMDNet-YOLO: A Lightweight and Robust Model for High-Precision Real-Time Recognition of Blueberry Maturity

Horticulturae
Accurate real-time detection of blueberry maturity is vital for automated harvesting. However, existing methods often fail under occlusion, variable lighting, and dense fruit distribution, leading to reduced accuracy and efficiency.
Huihui Sun, Rui-Feng Wang
doaj   +1 more source