A5045756776- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Neural and Behavioral Psychology Studies
- Neurotransmitter Receptor Influence on Behavior
- EEG and Brain-Computer Interfaces
- Substance Abuse Treatment and Outcomes
- Attention Deficit Hyperactivity Disorder
- Behavioral Health and Interventions
- Neural dynamics and brain function
- Dementia and Cognitive Impairment Research
- Endoplasmic Reticulum Stress and Disease
- Schizophrenia research and treatment
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Advanced Neuroimaging Techniques and Applications
- Eating Disorders and Behaviors
- Autophagy in Disease and Therapy
- Cognitive Functions and Memory
- Cardiac Valve Diseases and Treatments
- Gambling Behavior and Treatments
- Machine Learning in Healthcare
- Obsessive-Compulsive Spectrum Disorders
- Adenosine and Purinergic Signaling
- Cognitive Abilities and Testing
- Decision-Making and Behavioral Economics
- Medical Imaging Techniques and Applications
Trinity College Dublin
2016-2024
Linköping University
2024
Max Planck Institute of Psychiatry
2019-2021
University College Dublin
2015-2016
Abstract The stress response is an essential mechanism for maintaining homeostasis, and its disruption implicated in several psychiatric disorders. On the cellular level, activates, among other mechanisms, autophagy that regulates homeostasis through protein degradation recycling. Secretory a recently described pathway which autophagosomes fuse with plasma membrane rather than lysosomes. Here, we demonstrate glucocorticoid-mediated enhances secretory via stress-responsive co-chaperone...
Abstract Background A major research finding in the field of Biological Psychiatry is that symptom-based categories mental disorders map poorly onto dysfunctions brain circuits or neurobiological pathways. Many identified (neuro) biological are “transdiagnostic”, meaning they do not reflect diagnostic boundaries but shared by different ICD/DSM diagnoses. The compromised validity current classification system for impedes rather than supports development treatments only target symptoms also...
Abstract This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), alcohol use (AUD). Utilizing case-control samples (ages 18-25 years) a longitudinal population-based sample (n=1,851), the models, incorporating diverse data domains, achieved high accuracy in classifying EDs, MDD, AUD from healthy controls. The area under receiver operating characteristic curves (AUC-ROC [95% CI]) reached 0.92...
Substance misusers, including adolescent smokers, often have reduced reward system activity during processing of non-drug rewards. Using a psychophysiological interaction approach, we examined functional connectivity with the ventral striatum anticipation in large (N = 206) sample smokers. Increased smoking frequency was associated (1) increased regions involved saliency and valuation, orbitofrontal cortex (2) between inhibition risk aversion, right inferior frontal gyrus. These results...
Background Impulsivity, broadly characterized as the tendency to act prematurely without foresight, is linked alcohol misuse in college students. However, impulsivity a multidimensional construct and different subdomains likely underlie patterns of misuse. Here, we quantified association between intoxication frequency consumption choice, action, cognitive, trait domains impulsivity. Methods University student drinkers ( n = 106) completed battery demographic alcohol‐related items, well...
Impulsivity is a multidimensional construct that related to different aspects of alcohol use, abuse, and dependence. Inhibitory control, one facet impulsivity, can be assayed using the stop-signal task (SST) quantified behaviorally via reaction time (SSRT) electrophysiologically event-related potentials (ERPs). Research on relationship between use SSRTs, inhibitory-control ERPs, mixed. Here, adult users (n = 79), with wide range scores Alcohol Use Disorders Identification Test (AUDIT),...
Abstract Brain-predicted age difference scores are calculated by subtracting chronological from ‘brain’ age, which is estimated using neuroimaging data. Positive reflect accelerated ageing and associated with increased mortality risk poorer physical function. To date, however, the relationship between brain-predicted specific cognitive functions has not been systematically examined appropriate statistical methods. First, applying machine learning to 1,359 T1-weighted MRI scans, we predicted...
Abstract The stress response is an essential mechanism that strives to maintain homeostasis, and its disruption implicated in several psychiatric disorders. As a cellular stressors, autophagy activated regulate homeostasis through protein degradation recycling. Secretory recently described pathway where autophagosomes fuse with the plasma membrane rather than lysosomes. In this study, we demonstrate glucocorticoid-mediated enhances secretory autophagy, via stress-responsive co-chaperone...
Scientific research aims to bring forward innovative ideas and constantly challenges existing knowledge structures stereotypes. However, women, ethnic cultural minorities, as well individuals with disabilities, are systematically discriminated against or even excluded from promotions, publications, general visibility. A more diverse workforce is productive, thus discrimination has a negative impact on science the wider society, education, careers, well-being of who against. Moreover, lack...
Assessment of cardiac function is essential for diagnosis and treatment planning in cardiovascular disease. Volume regions the derived measures stroke volume (SV) ejection fraction (EF) are most accurately calculated from imaging. This study aims to develop a fully automatic deep learning approach calculation computed tomography (CT). Time-resolved CT data sets 39 patients were used train segmentation models left side heart including ventricle (LV), atrium (LA), atrial appendage (LAA). We...
It is important to identify accurate markers of psychiatric illness aid early prediction disease course. Subclinical psychotic experiences (PEs) are risk factors for later mental ill-health and suicidal behaviour. This study used machine learning investigate neuroanatomical PEs in stages adolescence. Machine using logistic regression Elastic Net regularization was applied T1-weighted diffusion MRI data classify adolescents with subclinical vs. controls across 3 timepoints (Time 1:11–13...