AIMC Topic: Schizophrenia

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Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images.

Physical and engineering sciences in medicine Apr 23, 2024
Schizophrenia (SZ) has been acknowledged as a highly intricate mental disorder for a long time. In fact, individuals with SZ experience a blurred line between fantasy and reality, leading to a lack of awareness about their condition, which can pose s...
Machine Learning Adult Male Schizophrenia Humans Automation Image Processing, Computer-Assisted Wavelet Analysis Electroencephalography Signal Processing, Computer-Assisted
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Diagnosing schizophrenia using deep learning: Novel interpretation approaches and multi-site validation.

Brain research Mar 20, 2024
Schizophrenia is a profound and enduring mental disorder that imposes significant negative impacts on individuals, their families, and society at large. The development of more accurate and objective diagnostic tools for schizophrenia can be expedite...
Schizophrenia Reproducibility of Results Adult Male Middle Aged Deep Learning Magnetic Resonance Imaging Humans Brain Female
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Enhancing drug discovery in schizophrenia: a deep learning approach for accurate drug-target interaction prediction - DrugSchizoNet.

Computer methods in biomechanics and biomedical engineering Feb 20, 2024
Drug discovery relies on the precise prognosis of drug-target interactions (DTI). Due to their ability to learn from raw data, deep learning (DL) methods have displayed outstanding performance over traditional approaches. However, challenges such as ...
Humans Drug Discovery Deep Learning Schizophrenia
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Impaired perception of a partner's synchronizing behavior reduces positive attitude toward humanoid robot in schizophrenia patients.

Schizophrenia research Jan 29, 2024
As interpersonal synchrony plays a key role in building rapport, the perception of another agent's synchronizing behavior could be an important feature to assess, especially with patients with social deficits such as in schizophrenia. Twenty-four sch...
Optimism Perception Interpersonal Relations Humans Robotics Schizophrenia
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Illusory generalizability of clinical prediction models.

Science (New York, N.Y.) Jan 11, 2024
It is widely hoped that statistical models can improve decision-making related to medical treatments. Because of the cost and scarcity of medical outcomes data, this hope is typically based on investigators observing a model's success in one or two d...
Middle Aged Adolescent Child Adult Male Antipsychotic Agents Treatment Outcome Models, Statistical Schizophrenia Prognosis Female Aged Aged, 80 and over Young Adult Humans Machine Learning
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Identification of Diagnostic Schizophrenia Biomarkers Based on the Assessment of Immune and Systemic Inflammation Parameters Using Machine Learning Modeling.

Sovremennye tekhnologii v meditsine Dec 27, 2023
UNLABELLED: Disorders of systemic immunity and immune processes in the brain have now been shown to play an essential role in the development and progression of schizophrenia. Nevertheless, only a few works were devoted to the study of some immune pa...
Middle Aged Humans Cytokines Adult Machine Learning Male Biomarkers Inflammation Female Schizophrenia
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Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteers.

Journal of affective disorders Nov 12, 2023
BACKGROUND: Mood disorders and schizophrenia affect millions worldwide. Currently, diagnosis is primarily determined by reported symptomatology. As symptoms may overlap, misdiagnosis is common, potentially leading to ineffective or destabilizing trea...
Electroencephalography Schizophrenia Depressive Disorder, Major Healthy Volunteers Deep Learning Humans Bipolar Disorder
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Computerized analysis of facial expression reveals objective indices of blunted facial affect.

European archives of psychiatry and clinical neuroscience Oct 25, 2023
Blunted affect is associated with severe mental illness, particularly schizophrenia. Mechanisms of blunted affect are poorly understood, potentially due to a lack of phenomenological clarity. Here, we examine clinician rated blunted affect and comput...
Adult Male Middle Aged Eye Movements Schizophrenia Facial Expression Machine Learning Humans Female Social Cognition Young Adult
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Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.

Journal of neural engineering Sep 28, 2023
(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations, delusions, and thought disorders that affect approximately 26 million people worldwide, according to the World Health Organization. Several studies e...
Brain Deep Learning Magnetic Resonance Imaging Humans Schizophrenia Machine Learning
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Peripheral blood MicroRNAs as biomarkers of schizophrenia: expectations from a meta-analysis that combines deep learning methods.

The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry Sep 13, 2023
OBJECTIVES: This study aimed at identifying reliable differentially expressed miRNAs (DEMs) for schizophrenia in blood meta-analyses combined with deep learning methods.
Deep Learning MicroRNAs Schizophrenia Humans Biomarkers Motivation
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