A5049333887- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Mental Health Research Topics
- Obesity, Physical Activity, Diet
- Analog and Mixed-Signal Circuit Design
- Advanced MRI Techniques and Applications
- Obesity and Health Practices
- Behavioral Health and Interventions
- Neural Networks and Applications
- Atomic and Subatomic Physics Research
- COVID-19 and Mental Health
- Advanced Neuroimaging Techniques and Applications
- Eating Disorders and Behaviors
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
National Institute of Mental Health
2021-2024
National Institute of Mental Health
2023
National Institutes of Health
2021
University of Nottingham
2016-2019
Neural oscillations dominate electrophysiological measures of macroscopic brain activity and fluctuations in these rhythms offer an insightful window on cortical excitation, inhibition, connectivity. However, recent years the 'classical' picture smoothly varying has been challenged by idea that many 'oscillations' may actually be formed from recurrence punctate high-amplitude bursts activity, whose spectral composition intersects traditionally defined frequency ranges (e.g. alpha/beta band)....
Despite advances in the field of dynamic connectivity, fixed sliding window approaches for detection fluctuations functional connectivity are still widely used. The use conventional metrics conjunction with a comes arbitrariness chosen lengths. In this paper we multivariate autoregressive and neural mass models a-priori defined ground truths to systematically analyse sensitivity combination different lengths detect genuine various underlying state durations. Metrics interest coherence,...
The development of sophisticated computational tools to quantify changes in the brain's oscillatory dynamics across states consciousness have included both envelope- and phase-based measures functional connectivity (FC), but there are very few direct comparisons these techniques using same dataset. goal this study was compare an envelope-based (i.e. Amplitude Envelope Correlation, AEC) a weighted Phase Lag Index, wPLI) measure FC their classification consciousness. Nine healthy participants...
Adolescence is an important developmental period, during which substantial changes occur in brain function and behavior. Several aspects of executive function, including response inhibition, improve this period. Correspondingly, structural imaging studies have documented consistent decreases cortical subcortical gray matter volume, postmortem histologic found (∼40%) excitatory synapses prefrontal cortex. Recent computational modeling work suggests that the change synaptic density underlie...
Abstract Despite its omnipresence in everyday interactions and importance for mental health, mood neuronal underpinnings are poorly understood. Computational models can help identify parameters affecting self-reported during induction tasks. Here, we test if computationally modeled dynamics of monetary gambling be used to trial-by-trial variations activity. To this end, shifted healthy (N = 24) depressed 30) adolescents by delivering individually tailored reward prediction errors while...
Attentional bias to social threat cues has been linked heightened anxiety and irritability in youth. Yet, inconsistent methodology limited replication led mixed findings. The current study aims 1) replicate extend two previous pediatric studies demonstrating a relationship between negative affectivity attentional 2) examine the test-retest reliability of an eye-tracking paradigm among subsample Attention allocation versus non-negative emotional faces was measured using free-viewing task youth (
The ability to monitor performance during a goal-directed behavior differs among children and adults in ways that can be measured with several tasks techniques. We investigated age differences neural responses linked monitoring using multimodal approach. approach combined functional MRI source localization of event-related potentials (ERPs) 12-year-old, 15-year-old, adult participants. Neural generators two components related error monitoring, the N2 ERN, lay within specific areas fMRI...
Abstract The ability to monitor performance during a goal‐directed behavior differs among children and adults in ways that can be measured with several tasks techniques. As well, recent work has shown individual differences error monitoring moderate temperamental risk for anxiety this moderation changes age. We investigated age neural responses linked using multimodal approach. approach combined functional MRI source localization of event‐related potentials (ERPs) 12‐year‐old, 15‐year‐old,...
Introduction Loss-of-control (LOC) eating, a key feature of binge-eating disorder, may relate attentional bias (AB) to highly salient interpersonal stimuli. The current pilot study used magnetoencephalography (MEG) explore neural features AB socially threatening cues in adolescent girls with and without LOC-eating. Methods Girls (12–17 years old) overweight or obesity (BMI >85th percentile) completed an measure on affective dot-probe task during MEG evoked responses angry happy (vs....
Abstract Despite its omnipresence in everyday interactions and importance for mental health, mood neuronal underpinnings are poorly understood. Computational models can help identify parameters affecting self-reported during induction tasks. Here we test if computationally modelled dynamics of monetary gambling be used to trial-by-trial variations activity. To this end, shifted healthy (N=24) depressed (N=30) adolescents by delivering individually tailored reward prediction errors whilst...