Last Posted: Oct 10, 2019
- A large data resource of genomic copy number variation across neurodevelopmental disorders
Mehdi Zarrei, et al. Genomic Medcine, October 7, 2019 - Machine Learning Models Identify Multimodal Measurements Highly Predictive of Transdiagnostic Symptom Severity for Mood, Anhedonia, and Anxiety.
Mellem Monika S et al. Biological psychiatry. Cognitive neuroscience and neuroimaging 2019 Jul - Cross-disorder GWAS meta-analysis for Attention Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, Obsessive Compulsive Disorder, and Tourette Syndrome
Z Yang et al, BioRXIV, September 16, 2019 - New Opportunities With School-Based Telehealth: Convenient Connections to Care.
Frey Sean M et al. JAMA pediatrics 2019 Sep - Deep Learning and Neurology: A Systematic Review.
Valliani Aly Al-Amyn et al. Neurology and therapy 2019 Aug - Development of a multidisciplinary clinic of neurofibromatosis type 1 and other neurocutaneous disorders in Greece. A three year experience.
Kokkinou Eleftheria et al. Postgraduate medicine 2019 Aug - Association of Genetic and Environmental Risks for Attention-Deficit/Hyperactivity Disorder With Hypomanic Symptoms in Youths.
Hosang Georgina M et al. JAMA psychiatry 2019 Aug - Examining the Importance of Family History in Pediatric Behavioural Referrals.
Gander Sarah et al. Cureus 2019 May 11(5) e4790 - Use of deep learning to detect personalized spatial-frequency anomalies in EEGs of children with ADHD.
Chen He et al. Journal of neural engineering 2019 Aug - Psychiatric Polygenic Risk Scores as Predictor for Attention Deficit/Hyperactivity Disorder and Autism Spectrum Disorder in a Clinical Child and Adolescent Sample.
Jansen Arija G et al. Behavior genetics 2019 Jul
.png)
No hay comentarios:
Publicar un comentario