Multispecies comparisons support a startle response origin for a novel vibrational signal in the cricket tribe Lebinthini.

Many animals communicate using call and response signals, but the evolutionary origins of this type of communication are largely unknown. In most cricket species, males sing and females walk or fly to calling males. In the tribe Lebinthini, however, males produce calls that trigger a vibrational reply from females, and males use the substrate vibrations to find the responding female.

Longitudinal Stability of Mood-Related Resting-State Networks in Youth with Symptomatic Bipolar-I/II Disorder.

Bipolar disorder (BD) is characterized by temporal instability of mood and energy, but the neural correlates of this instability are poorly understood. In previous cross-sectional studies, mood state in BD has been associated with differential functional connectivity (FC) amongst several subcortical regions and ventromedial prefrontal cortex. Here, we assess whether BD is associated with longitudinal instability within this mood-related network of interest (NOI).

Detecting noncredible symptomology in ADHD evaluations using machine learning.

Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.

A generalizable normative deep autoencoder for brain morphological anomaly detection: application to the multi-site StratiBip dataset on bipolar disorder in an external validation framework.

The heterogeneity of psychiatric disorders makes researching disorder-specific neurobiological markers an ill-posed problem. Here, we face the need for disease stratification models by presenting a generalizable multivariate normative modelling framework for characterizing brain morphology, applied to bipolar disorder (BD). We used deep autoencoders in an anomaly detection framework, combined for the first time with a confounder removal step that integrates training and external validation.

The Relationship Between Subjective Cognitive Complaints, Invalid Symptom Reporting, and Neurocognitive Test Performance Validity Among Adults Being Evaluated for ADHD.

Objective: Subjective cognitive complaints are common among patients presenting for evaluation of attention-deficit/hyperactivity disorder (ADHD). Despite these complaints, research overwhelmingly suggests that reported cognitive deficits do not align with objective neurocognitive performance. This study explored the relationship between subjective cognitive complaints, objective neuropsychological functioning, and performance and symptom validity testing in adult patients referred for evaluation due to concern about ADHD.