Results 51 to 60 of about 189,149 (342)

An Out‐of‐Place Etiology: Recognizing FMR1 Premutation in the Memory Clinic

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The FMR1 gene premutation (55–200 CGG repeats) is usually associated with a wide range of symptoms and phenotypes within the Fragile X‐tremor/ataxia syndrome (FXTAS), but may also manifest as predominant or isolated cognitive decline. We describe three male patients referred for progressive cognitive impairment and behavioral changes. Standard
Guido Greco, Caterina Motta, Enrica Marchionni, Maria Rosaria D'Apice, Carlangelo Carrese, Giuseppe Novelli, Alessandro Martorana, Chiara Giuseppina Bonomi   +7 more
wiley   +1 more source

Using Telemedicine to Assess and Manage Psychosis Among Outpatients with Neurodegenerative Disease

International Journal of General Medicine, 2021
Craig Chepke,1– 3 Lynn W Shaughnessy,4 Stephen Brunton,5,6 Jill G Farmer,7,8 Andrew S Rosenzweig,9 George T Grossberg,10 Wendy L Wright11 1Excel Psychiatric Associates, Huntersville, NC, USA; 2Atrium Health, Charlotte, NC, USA; 3University of North ...
Chepke C, Shaughnessy LW, Brunton S, Farmer JG, Rosenzweig AS, Grossberg GT, Wright WL   +6 more
doaj  

Exploring the Intersections of Trauma, Structural Adversity, and Psychosis among a Primarily African-American Sample: A Mixed-Methods Analysis

Frontiers in Psychiatry, 2017
Traumatic life events (TLEs) have been associated with multiple psychiatric diagnoses, including anxiety disorders, major depression, PTSD, and psychosis.
Cherise Rosen, Nev Jones, Eleanor Longden, Kayla A. Chase, Mona Shattell, Jennifer K. Melbourne, Sarah K. Keedy, Rajiv P. Sharma, Rajiv P. Sharma   +8 more
doaj   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

fMRI-based neurofeedback strategies and the way forward to treating phasic psychiatric symptoms

Frontiers in Neuroscience, 2023
Auditory verbal hallucinations (AVH) are the perfect illustration of phasic symptoms in psychiatric disorders. For some patients and in some situations, AVH cannot be relieved by standard therapeutic approaches. More advanced treatments are needed, among
Candela Donantueno, Pierre Yger, François Cabestaing, Renaud Jardri   +3 more
doaj   +1 more source

Seeing faces: evidence suggesting cortical disinhibition in the genesis of visual hallucinations. [PDF]

, 2008
The neural mechanisms responsible for triggering visual hallucinations are poorly understood. Here, we report a unique patient whose hallucinations consist exclusively of faces, and which could be reliably precipitated by looking at trees.
Christopher Fox, Giuseppe Iaria, Jason Barton   +2 more
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

An EMG study of the lip muscles during covert auditory verbal hallucinations in schizophrenia [PDF]

, 2013
Purpose: Auditory verbal hallucinations (AVHs) are speech perceptions in the absence of a external stimulation. An influential theoretical account of AVHs in schizophrenia claims that a deficit in inner speech monitoring would cause the verbal thoughts ...
Dohen, Marion, Loevenbruck, Hélène, Perrier, Pascal, Polosan, Mircea, Rapin, Lucile   +4 more
core   +5 more sources

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source