Predictors and Moderators of Panic Disorder: Cognitive Behavioral Therapy vs. Acceptance and Commitment Therapy.

Background: Understanding variables that influence therapy outcomes can improve the results of interventions and reduce socio-health costs. The current study examined possible predictors and moderators of outcome (age, gender, duration of panic disorder, motivation to change, conscientiousness, and experiential avoidance) in Cognitive Behavioral Therapy (CBT) and Acceptance and Commitment Therapy (ACT).

Method: Eighty participants with a diagnosis of panic disorder, 56 women and 24 men, with an average age of 38 years, received 12 group sessions of CBT or ACT.

Applied pharmacogenetics to predict response to treatment of first psychotic episode: study protocol.

The application of personalized medicine in patients with first-episode psychosis (FEP) requires tools for classifying patients according to their response to treatment, considering both treatment efficacy and toxicity. However, several limitations have hindered its translation into clinical practice. Here, we describe the rationale, aims and methodology of (the FarmaPRED-PEP project), which aims to develop and validate predictive algorithms to classify FEP patients according to their response to antipsychotics, thereby allowing the most appropriate treatment strategy to be selected.

Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic: A Survey-based Study.

Background: Irritable bowel syndrome (IBS) is influenced by various factors, including socioemotional stressors. The COVID-19 lockdown created a unique environment characterized by reduced social interactions, potentially impacting IBS symptoms.

Aim: To assess how lockdown measures affected symptoms related to the gut-brain axis in IBS patients in Buenos Aires, Argentina.

FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease.

Measuring transient functional connectivity is an important challenge in electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high-temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a methodology to overcome these problems called filter average short-term (FAST) functional connectivity.

Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas.

Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequality (country-level and state-level Gini indices) and brain volume and connectivity in 2,135 healthy controls, and individuals with Alzheimer's disease and frontotemporal lobe degeneration from Latin America and the United States.