Psychiatry

Anti-inflammatory Effect of Amitriptyline on Ulcerative Colitis in Normal and Reserpine-Induced Depressed Rats.

Depressive disorders are more common among persons with chronic diseases such as inflammatory bowel ...

Effectiveness of Vitamin D Supplement Therapy in Chronic Stable Schizophrenic Male Patients: A Randomized Controlled Trial.

In this study, the aim was to determine whether adding vitamin D to the standard therapeutic regimen...

Brief Report: A Pilot Summer Robotics Camp to Reduce Social Anxiety and Improve Social/Vocational Skills in Adolescents with ASD.

This pilot study evaluated a novel intervention designed to reduce social anxiety and improve social...

Brief Report: Development of a Robotic Intervention Platform for Young Children with ASD.

Increasingly researchers are attempting to develop robotic technologies for children with autism spe...

Electroencephalographic markers of robot-aided therapy in stroke patients for the evaluation of upper limb rehabilitation.

Stroke is the leading cause of permanent disability in developed countries; its effects may include ...

Pharmacokinetics of Amitriptyline HCl and Its Metabolites in Healthy African Grey Parrots ( Psittacus erithacus ) and Cockatoos (Cacatua Species).

Amitriptyline, a tricyclic antidepressant, is used clinically to treat feather-destructive behavior ...

Effect of Hfe Deficiency on Memory Capacity and Motor Coordination after Manganese Exposure by Drinking Water in Mice.

Excess manganese (Mn) is neurotoxic. Increased manganese stores in the brain are associated with a n...

The safety assessment of saffron (Crocus sativus L.) on sympathovagal balance and heart rate variability; a comparison with amiodarone.

Dry stigmas of the Crocus sativus L. (Saffron) are well known in world as a popular flavouring and t...

Can Robotic Interaction Improve Joint Attention Skills?

Although it has often been argued that clinical applications of advanced technology may hold promise...

Reversal Learning Task in Children with Autism Spectrum Disorder: A Robot-Based Approach.

Children with autism spectrum disorder (ASD) engage in highly perseverative and inflexible behaviour...

Using structural MRI to identify individuals at genetic risk for bipolar disorders: a 2-cohort, machine learning study.

BACKGROUND: Brain imaging is of limited diagnostic use in psychiatry owing to clinical heterogeneity...

From "Where" to "What": Distributed Representations of Brand Associations in the Human Brain.

Considerable attention has been given to the notion that there exists a set of human-like characteri...

Use of Machine Learning to Identify Children with Autism and Their Motor Abnormalities.

In the present work, we have undertaken a proof-of-concept study to determine whether a simple upper...

An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand.

The loss of hand function can result in severe physical and psychosocial impairment. Thus, compensat...

[Research on Early Identification of Bipolar Disorder Based on Multi-layer Perceptron Neural Network].

Multi-layer perceptron (MLP) neural network belongs to multi-layer feedforward neural network, and h...

Applying machine learning to facilitate autism diagnostics: pitfalls and promises.

Machine learning has immense potential to enhance diagnostic and intervention research in the behavi...

Electronic medical records: fast track to big data in bipolar disorder.

A clinical perspective on the relevance of research domain criteria in electronic health records.

OBJECTIVE: The limitations of the DSM nosology for capturing dimensionality and overlap in psychiatr...

Improving Quality of Life and Depression After Stroke Through Telerehabilitation.

OBJECTIVE: The aim of this study was to determine the effects of home-based robot-assisted rehabilit...

Clinical prediction from structural brain MRI scans: a large-scale empirical study.

Multivariate pattern analysis (MVPA) methods have become an important tool in neuroimaging, revealin...

Enrich classifications in psychiatry with textual data: an ontology for psychiatry including social concepts.

We propose a modular approach to develop an ontology of psychiatry, ONTOPSYCHIA, based on Patient Di...