Results 131 to 140 of about 59,438 (255)

The Microbiome as a Mirror: Distinguishing Healthy Individuals From Chronic Constipated Patients and Identifying Those With Hidden Psychiatric Burden

open access: yesMicrobiota Medicine Research, EarlyView.
Gut microbiota signatures distinguish chronic constipated patients from healthy individuals, supporting noninvasive diagnostic potential. Despite challenges in identifying psychiatric‐related comorbidities, microbial alterations, particularly in neurotransmitter and inflammatory pathways, lay the groundwork for future companion diagnostics and ...
Hongyan Qi   +7 more
wiley   +1 more source

The Impact of Anime on Children with Autism Spectrum Disorder (ASD). [PDF]

open access: yesChildren (Basel)
Tzila E   +5 more
europepmc   +1 more source

Prime editing in neuropsychiatric disorders: From mutation‐specific target selection to clinical translation

open access: yesNeuroprotection, EarlyView.
Abstract Prime editing, a novel clustered regularly interspaced short palindromic repeats (CRISPR)‐based technology, fuses a reverse transcriptase (RT) to an engineered CRISPR‐associated protein 9 (Cas9) and uses a prime editing guide RNA (pegRNA)‐encoded template.
Tianshan Ji   +4 more
wiley   +1 more source

Global trends in epilepsy and the Chinese experience: Epidemiological transitions, underlying mechanisms, and integrated strategies (1990–2021)

open access: yesNeuroprotection, EarlyView.
Epilepsy: Global Trends and the Chinese Experience (1990–2021). The infographic depicts (left) the global distribution of age‐standardized epilepsy DALY rates; (center) the triple inequality gap within China, including regional mortality disparities (9‐fold difference between western and eastern provinces), urban‐rural treatment gaps (60%–90%), and ...
Ting Chen   +7 more
wiley   +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

Artificial intelligence, equity, and pediatric neurodevelopmental disorders: A scoping review of clinical practice applications

open access: yesPediatric Investigation, EarlyView.
Artificial intelligence (AI) is being explored to support diagnosis and care for pediatric neurodevelopmental disorders, yet most tools remain in early stages of development. This scoping review identifies limited external validation, narrow population representation, and sparse equity considerations, underscoring the need for inclusive, clinically ...
Florida Uzoaru   +3 more
wiley   +1 more source

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