Psychiatry

Bipolar Disorder

Latest AI and machine learning research in bipolar disorder for healthcare professionals.

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Music Intervention Leads to Increased Insular Connectivity and Improved Clinical Symptoms in Schizophrenia.

Schizophrenia is a syndrome that is typically accompanied by delusions and hallucinations that might...

Jan 2018 29410607
The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning.

Machine learning techniques were used to identify highly informative early psychosis self-report ite...

Jan 2018 29358019
Jobelyn attenuates inflammatory responses and neurobehavioural deficits associated with complete Freund-adjuvant-induced arthritis in mice.

Rheumatoid arthritis (RA) is a chronic inflammatory disease that affects the physical and psychosoci...

Dec 2017 29288974
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...

Dec 2017 29475222
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 ...

Nov 2017 29101325
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 ...

Nov 2017 29098645
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 ...

Oct 2017 30135774
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...

Sep 2017 28960239
A state-independent network of depressive, negative and positive symptoms in male patients with schizophrenia spectrum disorders.

Depressive symptoms occur frequently in patients with schizophrenia. Several factor analytical studi...

Aug 2017 28844638
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media.

With the rise of social media, millions of people are routinely expressing their moods, feelings, an...

Jul 2017 29707701
The impact of machine learning techniques in the study of bipolar disorder: A systematic review.

Machine learning techniques provide new methods to predict diagnosis and clinical outcomes at an ind...

Jul 2017 28728937
A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD).

Major depressive disorder (MDD), a debilitating mental illness, could cause functional disabilities ...

Jul 2017 28702811
Using machine learning and surface reconstruction to accurately differentiate different trajectories of mood and energy dysregulation in youth.

Difficulty regulating positive mood and energy is a feature that cuts across different pediatric psy...

Jul 2017 28683115
Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective.

Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...

Jun 2017 28648568
BrainAGE score indicates accelerated brain aging in schizophrenia, but not bipolar disorder.

BrainAGE (brain age gap estimation) is a novel morphometric parameter providing a univariate score d...

May 2017 28628780
Evaluation of machine learning algorithms and structural features for optimal MRI-based diagnostic prediction in psychosis.

A relatively large number of studies have investigated the power of structural magnetic resonance im...

Apr 2017 28426817
Depressive Symptoms and Their Interactions With Emotions and Personality Traits Over Time: Interaction Networks in a Psychiatric Clinic.

OBJECTIVE: Associations between depression, personality traits, and emotions are complex and recipro...

Apr 2017 28407460
Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder.

Using MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of...

Mar 2017 28388468
High-throughput transformation of Saccharomyces cerevisiae using liquid handling robots.

Saccharomyces cerevisiae (budding yeast) is a powerful eukaryotic model organism ideally suited to h...

Mar 2017 28319150
A symptom network structure of the psychosis spectrum.

Current diagnostic systems mainly focus on symptoms needed to classify patients with a specific ment...

Feb 2017 28237606
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