Results 201 to 210 of about 255,128 (240)

MicroRNAs in metabolic effects with atypical antipsychotics-a scoping review. [PDF]

open access: yesTher Adv Psychopharmacol
Wu WT   +4 more
europepmc   +1 more source

Local Field Aperiodic Spectral Power Modulated by Deep Brain Stimulation in Parkinson's Disease

open access: yesMovement Disorders, EarlyView.
Abstract Background Aperiodic spectral broadband power has been described recently as reflecting Parkinson's disease (PD) severity. It has therefore become an increasing focus of research interest in the context of the new adaptive deep brain stimulation (DBS) approach.
Martin Lamoš   +6 more
wiley   +1 more source

Community severance and mental health-related hospital visits in New York City. [PDF]

open access: yesEnviron Epidemiol
Benavides J   +3 more
europepmc   +1 more source

Clinical Predictors of Tic‐Related Impairment in Children and Adults with Tourette Syndrome

open access: yesMovement Disorders, EarlyView.
Abstract Background Tic‐related impairment drives treatment decisions for Tourette syndrome and related tic disorders. The clinical features most strongly associated with impairment remain unclear. Objective The aim of this analysis is to identify clinical predictors of tic‐related impairment in children and adults with tic disorders in a prospective ...
Wm. Jeptha Davenport   +4 more
wiley   +1 more source

Mental Health Risk Factors for Postoperative Pain in Head and Neck Free Flap Reconstruction Patients

open access: yesOtolaryngology–Head and Neck Surgery, EarlyView.
Abstract Objective Head and neck cancer (HNC) surgery is associated with postoperative pain and comorbid mental health disorders (MHDs). This study assessed predictors of postoperative pain and inpatient pain service consultation following free flap reconstruction (FFR). Study Design Retrospective cohort. Setting Single‐institution database.
Daniel R. S. Habib   +8 more
wiley   +1 more source

Disrupted Emergent Properties of the Brain in Schizophrenia: Insight From Integrated Information Decomposition of Resting State fMRI. [PDF]

open access: yesBrain Behav
Tarchi L   +11 more
europepmc   +1 more source

Predicting brain age in children aged 2–6 years with autism spectrum disorders using routine T1‐ and T2‐weighted magnetic resonance imaging

open access: yesPediatric Investigation, EarlyView.
The routine magnetic resonance imaging‐based model accurately predicted brain age in children aged 2–6. Children with autism spectrum disorder (ASD) exhibited maturational delays at ages 3–5, shifting toward accelerated aging by age 5–6. This exploratory result highlights the dynamic, age‐related developmental heterogeneity in ASD.
Zunying Hu   +7 more
wiley   +1 more source

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