Effectiveness of Buspirone in Alleviating Anxiety Symptoms in Patients with Depressive Disorder: A Multicenter Prospective Observational Study in Korea.

Objective: We aimed to investigate the effectiveness of buspirone as an adjunctive therapy for alleviating anxiety symptoms in patients with depressive disorders who are already taking antidepressants.

Methods: This was an open-label prospective multicenter non-interventional observational study conducted over 12 weeks. We enrolled 180 patients diagnosed with depressive disorders according to DSM-5 criteria and Hamilton Anxiety Rating Scale (HAMA) scores ≥ 18.

Reliable Autism Spectrum Disorder Diagnosis for Pediatrics Using Machine Learning and Explainable AI.

As the demand for early and accurate diagnosis of autism spectrum disorder (ASD) increases, the integration of machine learning (ML) and explainable artificial intelligence (XAI) is emerging as a critical advancement that promises to revolutionize intervention strategies by improving both accuracy and transparency. This paper presents a method that combines XAI techniques with a rigorous data-preprocessing pipeline to improve the accuracy and interpretability of ML-based diagnostic tools. Our preprocessing pipeline included outlier removal, missing data handling, and selecting pertinent features based on clinical expert advice.

AST-001 versus placebo for social communication in children with autism spectrum disorder: A randomized clinical trial.

Aim: This study examined the efficacy of AST-001 for the core symptoms of autism spectrum disorder (ASD) in children.

Methods: This phase 2 clinical trial consisted of a 12-week placebo-controlled main study, a 12-week extension, and a 12-week follow-up in children aged 2 to 11 years with ASD. The participants were randomized in a 1:1:1 ratio to a high-dose, low-dose, or placebo-to-high-dose control group during the main study.

Preventive effect of aripiprazole once-monthly on relapse into mood episodes in bipolar disorder: A multicenter, one-year, retrospective, mirror image study.

Background: We conducted a one-year, retrospective, mirror-image study to investigate the clinical effectiveness and safety of aripiprazole once monthly (AOM) in patients with bipolar disorder (BD). We compared pre-treatment conditions with outcomes after 12 months of AOM treatment.

Methods: Seventy-five bipolar patients were recruited from 12 hospitals in Korea.

Psychological aftereffects experienced by sexually abused children: Psychopathological characteristics revealed by the K-CBCL.

Children who have been sexually abused may experience various short- and long-term psychological sequelae and behavioral problems. This study assessed the mental health of sexually abused children using the Korean-Child Behavior Checklist (K-CBCL) and examined differences from a control group. The participants were 97 children who had been sexually abused and who visited a local Sunflower Center, and 178 control participants.

Korean Medication Algorithm Project for Bipolar Disorder 2022: Comparisons with Other Treatment Guidelines.

The objective of this study was to compare recommendations of the Korean Medication Algorithm Project for Bipolar Disorder 2022 (KMAP-BP 2022) with other recently published guidelines for treating bipolar disorder. We reviewed a total of six recently published global treatment guidelines and compared treatment recommendation of the KMAP-BP 2022 with those of other guidelines. For initial treatment of mania, there were no significant differences across treatment guidelines.

Korean Medication Algorithm Project for Bipolar Disorder 2022, Fifth Revision: An Executive Summary.

Objective: We revised the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP), first published in 2002 and revised in 2006, 2010, 2014, and 2018, to reflect recent progress in the treatment of bipolar disorder.

Methods: The questionnaires consisted of 56 items for adult patients and 7 items for child/adolescent patients, and were used to obtain the consensus of experts regarding pharmacological treatment strategies for various phases of bipolar disorder. The review committee included 87 Korean psychiatrists and 40 child and adolescent psychiatry experts.

Alteration of cortical functional networks in mood disorders with resting-state electroencephalography.

Studies comparing bipolar disorder (BD) and major depressive disorder (MDD) are scarce, and the neuropathology of these disorders is poorly understood. This study investigated source-level cortical functional networks using resting-state electroencephalography (EEG) in patients with BD and MDD. EEG was recorded in 35 patients with BD, 39 patients with MDD, and 42 healthy controls (HCs).

Electrophysiological Changes Related to Childhood Trauma in Patients with Major Depressive Disorder: An Event-related Potential Study.

Objective: Childhood trauma is the most important environmental factor for several psychiatric disorders. Depressed patients with childhood trauma appear to have severe symptoms that frequently recur. This study investigated whether depressed patients with childhood trauma showed attenuated Nogo event-related potentials (ERPs) and source activity during response-inhibition tasks.

The Korean Medication Algorithm Project for Depressive Disorder 2021: Comparisons with Other Treatment Guidelines.

The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) first was published in 2002, and has been revised four times, in 2006, 2012, 2017, and 2021. In this review, we compared recommendations from the recently revised KMAP-DD 2021 to four global clinical practice guidelines (CPGs) for depression published after 2010. The recommendations from the KMAP-DD 2021 were similar to those from other CPGs, although there were some differences.

Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary.

Objective: In the 19 years since the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders developed the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) in 2002, four revisions have been conducted.

Methods: To increase survey efficiency in this revision, to cover the general clinical practice, and to compare the results with previous KMAP-DD series, the overall structure of the questionnaire was maintained. The six sections of the questionnaire were as follows: 1) pharmacological treatment strategies for major depressive disorder (MDD) with/without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus for treatment-resistant depression; 4) the choice of an antidepressant in the context of safety, adverse effects, and comorbid physical illnesses; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies.

Machine-learning-based diagnosis of drug-naive adult patients with attention-deficit hyperactivity disorder using mismatch negativity.

Relatively little is investigated regarding the neurophysiology of adult attention-deficit/hyperactivity disorder (ADHD). Mismatch negativity (MMN) is an event-related potential component representing pre-attentive auditory processing, which is closely associated with cognitive status. We investigated MMN features as biomarkers to classify drug-naive adult patients with ADHD and healthy controls (HCs).