Results 71 to 80 of about 354,339 (315)

Autoimmune Encephalitis in Acute Care—Pathology, Diagnosis, and Management

open access: yesAdvanced Science, EarlyView.
ABSTRACT Autoimmune encephalitis (AE) is characterized by immune‐mediated inflammation of the brain parenchyma, presenting with various neurological syndromes, including but not limited to seizures, altered consciousness, neuropsychiatric symptoms, and movement disorders.
Suneesh Thilak   +9 more
wiley   +1 more source

Caregiver and Clinician Assessment of Behavioral Disturbances: The California Dementia Behavior Questionnaire [PDF]

open access: yes, 1997
As part of a multicenter project to study noncognitive behavioral disturbances in dementia, the authors developed a comprehensive caregiver-rated questionnaire for these behaviors.
Mungas, Dan   +2 more
core   +1 more source

Patterns of management of patients with dual disorder (psychosis) in Italy: a survey of psychiatrists and other physicians focusing on clinical practice [PDF]

open access: yes, 2018
© 2018 Clerici, de Bartolomeis, De Filippis, Ducci, Maremmani, Martinotti and Schifano. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).Patients with severe psychotic disorders such as ...
Acquas   +39 more
core   +4 more sources

Phenotypic Diversity and Outcomes in Pediatric NMDA Receptor Encephalitis: A 15‐Year Retrospective Study from the Largest Children's Hospital in the United States

open access: yesAdvanced Science, EarlyView.
ABSTRACT Anti‐NMDAR encephalitis (NMDARE) is an autoantibody‐mediated disorder characterized by seizures, movement disorders, neurocognitive deficits, and psychosis, but the complete phenotypic heterogeneity, and outcomes are incompletely understood in children.
Alexander J. Sandweiss   +9 more
wiley   +1 more source

Machine learning in psychiatric health records: A gold standard approach to trauma annotation

open access: yesTranslational Psychiatry
Psychiatric electronic health records present unique challenges for machine learning due to their unstructured, complex, and variable nature. This study aimed to create a gold standard dataset by identifying a cohort of patients with psychotic disorders ...
Eben Holderness   +7 more
doaj   +1 more source

Improving smoking cessation in first episode psychosis: a quality improvement project by the City & Hackney Early and Quick Intervention Psychosis (EQUIP)

open access: yesBMJ Open Quality, 2020
Smoking tobacco is a major public health issue and a significant cause of increased mortality. People with a first episode of psychosis are more likely to smoke and the subgroup that goes on to have schizophrenia will have a significantly reduced life ...
declan phelan   +5 more
doaj   +1 more source

The effect of training intensity on implicit learning rates in schizophrenia

open access: yesScientific Reports, 2021
Cognitive impairments in learning and memory are core symptoms of schizophrenia, associated with reduced self-reported quality of life. The most effective treatment of cognitive impairments is drill and practice cognitive training.
Natasza D. Orlov   +6 more
doaj   +1 more source

Cannabis and psychosis : the Maltese contribution [PDF]

open access: yes, 2010
Three different Maltese scientists have contributed to research on the link between cannabis and psychosis. The object of this article is to review and chronicle the work that has been done by these three colleagues in this field.
Agius, Mark   +2 more
core  

Recovery from psychosis : physical health, antipsychotic medication and the daily dilemmas for mental health nurses [PDF]

open access: yes, 2015
This paper considers some of the dilemmas experienced by Mental Health Nurses everyday when faced with the seemingly conflicting relationships that exist between recovery, antipsychotics and the physical health of people experiencing psychosis.
Bressington, D.   +3 more
core   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

open access: yesAdvanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai   +13 more
wiley   +1 more source

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