Supra-second interval timing deficits and abnormal frontal theta oscillations in individuals with bipolar disorder
Muller Ewald, V. A.; Trapp, N. T.; Sarrett, M. E.; Pace, B. D.; Richards, J. G.; Gala, I. K.; Miller, J. N.; Wessel, J. R.; Magnotta, V. A.; Wemmie, J. A.; Boes, A. D.; Parker, K. L.
Show abstract
ObjectivesThough widely reported by patients, cognitive symptoms associated with bipolar disorder (BD), including deficits in executive function, memory, attention, and timing are under-studied. Work suggests that individuals with BD show impairments in sub-second interval timing tasks (ITT), however, results have been inconclusive regarding supra-second time perception in BD patients. Additionally, the effects of mood or medication status on time perception in BD patients are debated in the literature. MethodsTo address this, the present work administered a supra-second ITT concurrent with electroencephalographic (EEG) recordings to patients with BD and neuronormative controls. As this task is known to elicit frontal theta oscillations, which can be abnormal in psychiatric populations, signal from the Fz lead was analyzed at rest and during the task. Results & ConclusionsAs hypothesized, results suggest that individuals with BD show impairments in supra-second ITT performance compared to neuronormative controls. Frontal theta power was also reduced compared to controls during the ITT but not during rest. Finally, timing impairments remain detectible in BD patients independent of mood state and use of antipsychotic medication. This suggests that supra-second interval timing deficits are a key characteristic observed in BD. Together with previous work, these findings point to critical timing impairments in BD patients across a wide range of timing modalities and durations.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Longitudinal Stability of Mood-Related Resting-State Networks in Youth with Symptomatic Bipolar-I/II Disorder 94%
- Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder 93%
- ROC Analysis of Biomarker Combinations in Fragile X Syndrome-Specific Clinical Trials: Evaluating Treatment Efficacy via Exploratory Biomarkers 93%
Similar papers in this journal
- Hypoactivation of ventromedial frontal cortex in major depressive disorder: an MEG study of the Reward Positivity 93%
- Circadian-related hypothalamic structure differs by chronotype in bipolar disorder 92%
- Reduction in left frontal alpha oscillations by transcranial alternating current stimulation in major depressive disorder is context-dependent in a randomized-clinical trial 92%
Similar papers in this journal
- Neuroimaging Correlates of Emotional Response-Inhibition Discriminate Between Young Depressed Adults With and Without Sub-threshold Bipolar Symptoms 94%
- Enhanced network synchronization connectivity following transcranial direct current stimulation (tDCS) in bipolar depression: effects on EEG oscillations and deep learning-based predictors of clinical remission 93%
- Strong Genetic Overlaps Between Dimensional and Categorical Models of Bipolar Disorders in a Family Sample 92%
Similar papers in this journal
- Impaired Visuospatial Working Memory but Preserved Attentional Control in Bipolar Disorder 93%
- Obsessive-Compulsive Disorder (OCD) is Associated with Increased Engagement of Frontal Brain Regions Across Multiple Event Related Potentials 93%
- A computational approach to understanding effort-based decision-making in depression 92%
Similar papers in this journal
- Obsessive-Compulsive Disorder (OCD) is Associated with Increased Electroencephalographic (EEG) Delta and Theta Oscillatory Power but Reduced Delta Connectivity 93%
- Neuro-transcriptomic signatures for mood disorder morbidity and suicide mortality 91%
- Divergent transcriptomic profiles in depressed individuals with hyper- and hypophagia implicating inflammatory status 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.