Psychiatry

Does this robot have a mind? Schizophrenia patients' mind perception toward humanoid robots.

Evaluating the Levels of Nesfatin-1 and Ghrelin Hormones in Patients with Moderate and Severe Major Depressive Disorders.

OBJECTIVE: The goal of this study was to evaluate the importance of nesfatin-1, acylated and des-acy...

Relevant Features Selection for Automatic Prediction of Preterm Deliveries from Pregnancy ElectroHysterograhic (EHG) records.

In this study, we proposed an approach able to predict whether a pregnant woman with contractions wo...

Can Dogs Assist Children with Severe Autism Spectrum Disorder in Complying with Challenging Demands? An Exploratory Experiment with a Live and a Robotic Dog.

OBJECTIVES: Prompted by the need to find effective ways to enhance compliance in children with autis...

Working Memory and Decision-Making in a Frontoparietal Circuit Model.

Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distrib...

Influence of facial feedback during a cooperative human-robot task in schizophrenia.

Rapid progress in the area of humanoid robots offers tremendous possibilities for investigating and ...

Neurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features.

Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressive ...

Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases).

Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology. With the re...

Neurobiological support to the diagnosis of ADHD in stimulant-naïve adults: pattern recognition analyses of MRI data.

OBJECTIVE: In adulthood, the diagnosis of attention-deficit/hyperactivity disorder (ADHD) has been s...

Whole brain white matter connectivity analysis using machine learning: An application to autism.

In this paper, we propose an automated white matter connectivity analysis method for machine learnin...

Automatic recognition of therapy progress among children with autism.

The article presents a research study on recognizing therapy progress among children with autism spe...

Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach.

Mental stress has been identified as one of the major contributing factors that leads to various dis...

A natural language processing challenge for clinical records: Research Domains Criteria (RDoC) for psychiatry.

A pilot study for robot appearance preferences among high-functioning individuals with autism spectrum disorder: Implications for therapeutic use.

Recent rapid technological advances have enabled robots to fulfill a variety of human-like functions...

Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which ex...

Predicting short term mood developments among depressed patients using adherence and ecological momentary assessment data.

Technology driven interventions provide us with an increasing amount of fine-grained data about the ...

Machine-based classification of ADHD and nonADHD participants using time/frequency features of event-related neuroelectric activity.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is the most frequent diagnosis among chil...

Estimation and evaluation of linear individualized treatment rules to guarantee performance.

In clinical practice, an informative and practically useful treatment rule should be simple and tran...

Meaningless comparisons lead to false optimism in medical machine learning.

A new trend in medicine is the use of algorithms to analyze big datasets, e.g. using everything your...

Type 2 Diabetes Mellitus Is Associated with Social Recognition Memory Deficit and Altered Dopaminergic Neurotransmission in the Amygdala.

OBJECTIVE: Diabetic neuropathy is a chronic and often disabling condition that affects a significant...

Individualized prediction of psychosis in subjects with an at-risk mental state.

Early intervention strategies in psychosis would significantly benefit from the identification of re...