Abstract The imbalance between pro-oxidants and antioxidants is thought to be responsible for aging and cognitive impairment in many degenerative diseases, including schizophrenia (SZ). As the first antioxidant enzyme to detoxify superoxide radicals in mitochondria, manganese superoxide dismutase (MnSOD) activity Read More …
Virtual Reality for Schizophrenia Symptom Regulation
Abstract: Virtual reality (VR) has emerged as a promising tool for managing and regulating the symptoms of schizophrenia, offering innovative approaches to supplementing the traditional therapeutic interventions. By creating immersive, computer-generated environments, VR provides individuals with a safe and controlled Read More …
Post-Earthquake Mental Health: Exploring Depression and Anxiety in Medical Students After the Kahramanmaras Earthquake
Abstract: Introduction The impact of earthquakes on mental health, including increased depression and anxiety levels, is well known. The 2023 Kahramanmaras earthquake resulted in significant damage and loss of life. However, limited research has focused on the mental health issues Read More …
Antipsychotic-based machine learning models may help prediction of tardive dyskinesia in patients with schizophrenia
Antipsychotic medications are commonly used in the treatment of schizophrenia, but they can sometimes lead to side effects such as tardive dyskinesia, a condition characterized by involuntary movements, particularly of the face and tongue. To address this concern, the integration Read More …
Comparing Methamphetamine-Induced Psychosis With Positive and Cognitive Symptoms of Schizophrenia: Insights From Genetics, Immunology, Neurobiology, and Brain Imaging Findings
Abstract Psychosis and other symptoms of Schizophrenia (SCZ), predominantly positive symptoms, can be induced by the regular use of methamphetamine (METH), resulting in a diagnosis discourse between SCZ and METH-induced psychosis. Therefore, distinguishing both disorders based on the most prominent Read More …
Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies
Abstract Machine learning (ML) is used to create well-functioning prediction models for predicting the prognosis of psychiatric disease or to distinguish the disease from other psychiatric diseases such as distinguishing schizophrenia from methamphetamine addiction. Parameter tuning is necessary to create Read More …
Effects of Genetic Counseling on Reducing Prenatal Stress and Autism Rates in the Asia-Pacific Region
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by difficulties in social interaction, repetitive behaviors, and narrow interests. People with ASD often experience additional mental health issues such as depression and anxiety. While genetics have long been considered a Read More …
Predicting Age Groups using Brain Imaging Quality Data
Brain imaging quality of data is important to confirm their liability of brain imaging studies. Previous literature confirmed that some confounding factors such as movement, age, and gender may impact brain imaging quality. Automatic quality control (QC) applications may not Read More …
You will be better soon: Manipulating Patients to Continue Psychotherapy Treatment
AbstractPsychotherapy is demonstrated to be beneficial for most patients with minor and major psychological problems such as depression, schizophrenia, mood disorder, and anxiety. Patients may not respond to psychotherapy. However, how to deal with such clients is decided by their Read More …
aesthetic surgery fixing body or soul
Aesthetic surgery, often referred to as cosmetic surgery, has become a prevalent option for individuals seeking to alter their physical appearance. While the primary goal of aesthetic surgery is to enhance one’s external features, the impact of these procedures can Read More …
