Results 171 to 180 of about 369,066 (296)

Hyperbolic Kernel Graph Neural Networks for Neurocognitive Decline Analysis From Multimodal Brain Imaging. [PDF]

IEEE Trans Pattern Anal Mach Intell
Yang M, Sun Y, Wang Q, Bozoki A, Kohi M, Liu M.   +5 more
europepmc   +1 more source

Phenotyping Overactive Bladder—Part 1: Are There Different Types of Urgency and Can They be Translated to Clinical, Urodynamic and Radiological Phenotyping? ICI‐RS 2025

Neurourology and Urodynamics, EarlyView.
ABSTRACT Introduction Overactive bladder (OAB) is defined as urinary urgency, usually accompanied by increased daytime frequency and/or nocturia, with urgency urinary incontinence (OAB‐wet) or without (OAB‐dry), in the absence of urinary tract infection or other detectable disease.
John E. Speich, D. Carolina Ochoa, Pradeep Tyagi, Apostolos Apostolidis, Sanjay Sinha, Claire Hentzen, Marcus Drake, Paul Abrams, Alan J. Wein, Michel Wyndaele   +9 more
wiley   +1 more source

Functional MRI in Multiple System Atrophy: A Promising Biomarker for Clinical Applications. [PDF]

Neuropsychiatr Dis Treat
Xiao S, Ding Y, Weiss A, Cai L, Wang X, Geng X.   +5 more
europepmc   +1 more source

When the mind reprocesses the night: A clinical case study on eye movement desensitization and reprocessing therapy for idiopathic nightmare disorder

Sleep Research, EarlyView.
Abstract Introduction Nightmare Disorder (ND) is a prevalent sleep disorder linked to nocturnal and daytime impairments. Image Rehearsal Therapy (IRT) shows moderate effects, and evidence for other psychological interventions, including eye movement desensitization and reprocessing (EMDR), remains scarce in adults with idiopathic ND (IND). Methods This
Filipa Almeida, Maria Inês Clara, Margarida Rodrigues, Ana Allen Gomes   +3 more
wiley   +1 more source

Dysfunction of the episodic memory network in the Alzheimer's disease cascade. [PDF]

Nat Commun
Lattmann R, Vockert N, Bernal J, Wesenberg J, Suksangkharn Y, Yakupov R, Schütze H, Glanz W, Incesoy E, Butryn M, Lüsebrink F, Schmid M, Stark M, Kleineidam L, Spottke A, Coenjaerts M, Brosseron F, Fliessbach K, Schneider A, Dechent P, Scheffler K, Hetzer S, Ramirez A, Laske C, Sodenkamp S, Altenstein S, Schneider LS, Gref D, Spruth EJ, Lohse A, Schott BH, Wiltfang J, Kilimann I, Goerss D, Rostamzadeh A, Priller J, Peters O, Hellmann-Regen J, Teipel S, Wagner M, Jessen F, Maass A, Ziegler G, Düzel E.   +43 more
europepmc   +1 more source

‘Everything is a signal’: speaking circuits and noisy signs in the making of language‐oriented AI « Tout est signal » : circuits parlants et signes bruyants dans la création de l'IA orientée langage

Journal of the Royal Anthropological Institute, EarlyView.
Contemporary artificial intelligence (AI) technologies are often presumed to be capable of revealing unmediated truths about the world, including the truths language might hold, echoing the long‐standing assertion that language's primary function is to directly translate reality.
Beth M. Semel
wiley   +1 more source

Indirect Calorimetry–Monitored Nutritional Therapy: Highlights and Challenges

Journal of Neuroanaesthesiology and Critical Care
Hari Hara Dash, Virendra Jain
doaj   +1 more source

A comprehensive analysis of brain network complexity in task-based fMRI using entropy: systematic review. [PDF]

Brain Imaging Behav
Park J, Xu N, Nezafati M.
europepmc   +1 more source

Effectiveness of Virtual Reality for Pain Relief in Procedures Related to Obstetrics and Gynaecology: A Systematic Review and Meta‐Analysis of Randomised Controlled Trials

BJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Background Immersive virtual reality (VR) technology offers a non‐invasive, non‐pharmacological approach to reduce pain perception in patients undergoing diagnostic or interventional procedures. Objective To systematically evaluate the efficacy of immersive VR technology in reducing pain perception during obstetric and gynaecological ...
Jhia Jiat Teh, Filipa Campos, Adam Koczoski, Trisha Valencia, Michael P. Rimmer, Bassel H. Al Wattar   +5 more
wiley   +1 more source

Classification of decomposed neural data in memory networks and LLM-based stimuli processing. [PDF]

Brain Imaging Behav
Shahzaib M, Farooq SZ, Schumacher EH, Keilholz SD, Shakil S.   +4 more
europepmc   +1 more source