A5086992040- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Treatment of Major Depression
- Psychosomatic Disorders and Their Treatments
- Neural Networks and Applications
- Radiomics and Machine Learning in Medical Imaging
- Neuroendocrine regulation and behavior
- Logic, Reasoning, and Knowledge
- Bayesian Modeling and Causal Inference
- Neuroscience and Music Perception
- Lung Cancer Diagnosis and Treatment
- Semantic Web and Ontologies
- Personality Disorders and Psychopathology
- Neural dynamics and brain function
- Rough Sets and Fuzzy Logic
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Radiology practices and education
- Mental Health Research Topics
- Schizophrenia research and treatment
- Long-Term Effects of COVID-19
- Workplace Health and Well-being
- Neural and Behavioral Psychology Studies
- Traumatic Brain Injury Research
- Homicide, Infanticide, and Child Abuse
D’Or Institute for Research and Education
2011-2024
King's College London
2019
Universidade Federal do Rio de Janeiro
2001
Neurofeedback by functional magnetic resonance imaging (fMRI) is a technique of potential therapeutic relevance that allows individuals to be aware their own neurophysiological responses and voluntarily modulate the activity specific brain regions, such as premotor cortex (PMC), important for motor recovery after injury. We investigated (i) whether healthy human volunteers are able up-regulate left PMC during right hand finger tapping imagery (MI) task while receiving continuous...
Neurofeedback (NFB) enables the voluntary regulation of brain activity, with promising applications to enhance and recover emotion cognitive processes, their underlying neurobiology. It remains unclear whether NFB can be used aid sustain complex emotions, ecological validity implications. We provide a technical proof concept novel real-time functional magnetic resonance imaging (rtfMRI) procedure. Using rtfMRI-NFB, we enabled participants voluntarily own neural activity while they...
In Ridley Scott's film "Blade Runner", empathy-detection devices are employed to measure affiliative emotions. Despite recent neurocomputational advances, it is unknown whether brain signatures of emotions, such as tenderness/affection, can be decoded and voluntarily modulated. Here, we multivariate voxel pattern analysis real-time fMRI address this question. We found that participants were able use visual feedback based on patterns a neurofeedback signal increase activation characteristic...
Humans spend a substantial share of their lives mind-wandering. This spontaneous thinking activity usually comprises autobiographical recall, emotional, and self-referential components. While neuroimaging studies have demonstrated that specific brain "default mode network" (DMN) is consistently engaged by the "resting state" mind, relative contribution key cognitive components to DMN still poorly understood. Here we used fMRI investigate whether in neural can be differentially explained...
Psychopathy is a disorder of personality characterized by severe impairments social conduct, emotional experience, and interpersonal behavior. Psychopaths consistently violate norms bring considerable financial, emotional, or physical harm to others society as whole. Recent developments in analysis methods magnetic resonance imaging (MRI), such voxel-based-morphometry (VBM), have become major tools understand the anatomical correlates this disorder. Nevertheless, identification psychopathy...
Encoding models can reveal and decode neural representations in the visual semantic domains. However, a thorough understanding of how distributed information auditory cortices temporal evolution music contribute to model performance is still lacking musical domain. We measured fMRI responses during naturalistic listening constructed two-stage approach that first mapped features then decoded novel pieces. probed influence stimuli duration (number time points) spatial extent voxels) on...
The demonstration that humans can learn to modulate their own brain activity based on feedback of neurophysiological signals opened up exciting opportunities for fundamental and applied neuroscience. Although EEG-based neurofeedback has been long employed both in experimental clinical investigation, functional MRI (fMRI)-based emerged as a promising method, given its superior spatial resolution ability gauge deep cortical subcortical regions. In combination with improved computational...
Previously, using fMRI, we demonstrated lower connectivity between right anterior superior temporal (ATL) and subgenual cingulate (SCC) regions while patients with major depressive disorder (MDD) experience guilt. This neural signature was detected despite symptomatic remission which suggested a putative role in vulnerability. randomised controlled double-blind parallel group clinical trial investigated whether MDD are able to voluntarily modulate this signature. To end, developed fMRI...
Abstract Background Overgeneralised self-blame and worthlessness are key symptoms of major depressive disorder (MDD) have previously been associated with self-blame-selective changes in connectivity between right superior anterior temporal lobe (rSATL) subgenual frontal cortices. Another study showed that remitted MDD patients were able to modulate this neural signature using functional magnetic resonance imaging (fMRI) neurofeedback training, thereby increasing their self-esteem. The...
<h3>Objective</h3> Using fMRI, we have identified lower coupling between anterior temporal (AT) and subgenual cingulate (SC) cortex while patients with major depressive disorder (MDD) experience guilt. This neural signature was detected despite symptom remission which suggests its role in MDD vulnerability. double-blind, controlled, randomised pre-registered clinical trial aimed at determining whether are able to voluntarily modulate this signature. To end developed an fMRI neurofeedback...
The cerebral correlates of altruistic decisions have increasingly attracted the interest neuroscientists. To date, investigations on neural underpinnings primarily been conducted in healthy adults undergoing functional neuroimaging as they engaged to punish third parties. chief purpose present study was investigate following focal brain damage with a novel decision task. In contrast studies that focused either punishment or donation, Altruistic Decision Task allows players anonymously donate...
In this methods article, we present a new implementation of recently reported FSL-integrated neurofeedback tool, the standalone version "Functional Real-time Interactive Endogenous Modulation and Decoding" (FRIEND). We will refer to as FRIEND Engine Framework. The framework comprises client-server cross-platform solution for real time fMRI fMRI/EEG studies, enabling flexible customization or integration graphical interfaces, devices data processing. This allows fast setup novel plug-ins...
Abstract Background Overgeneralised self-blame and worthlessness are key symptoms of major depressive disorder (MDD) were previously associated with self-blame-selective changes in connectivity between right superior anterior temporal lobe (rSATL) subgenual frontal areas. In a previous study, remitted MDD patients successfully modulated guilt-selective rSATL-subgenual cingulate using real-time functional magnetic resonance imaging (rtfMRI) neurofeedback training, thereby increasing their...
Humans are intrinsically motivated to bond with others. The ability experience affiliative emotions (such as affection/tenderness, sexual attraction, and admiration/awe) may incentivize promote these bonds. Here, we interrogate the role of critical reward circuitry, especially Nucleus Accumbens (NAcc) septo-hypothalamic region, in anticipation response rewards using a novel incentive delay task. During Functional Magnetic Resonance Imaging (FMRI), participants (n = 23 healthy humans; 14...
We quantified lung glycolytic metabolic activity, clinical symptoms and inflammation, coagulation, endothelial activation biomarkers in 2019 coronavirus disease (COVID-19) pneumonia survivors.Adults previously hospitalized with moderate to severe COVID-19 were prospectively included. Subjects filled out a questionnaire on consequences, underwent chest CT 18 F-FDG PET/CT, provided blood samples the same day. Forty-five volunteers served as control subjects. Analysis of images quantitative...
Purpose: To compare texture-based analysis using convolutional neural networks (CNNs) against lung densitometry in detecting chest computed tomography (CT) image abnormalities. Material and Methods: A U-NET was used for segmentation, an ensemble of 7 CNN architectures trained the classification low-attenuation areas (LAAs; emphysema, cysts), normal-attenuation (NAAs; normal parenchyma), high-attenuation (HAAs; ground-glass opacities, crazy paving/linear opacity, consolidation). Lung also...
The study carried out an integrative review research seeking to identify, through literature, the occurrence of Burnout Syndrome (BS) and professional exhaustion among nurses. Since BS is a psychosocial condition resulting from chronic stress in workplace considering increase cases nurses, it important investigate stressors related nurses' work. 18 articles, published between 2019 2023, were selected compose study. results showed moderate/high levels nursing professionals various work...
NLP tool accurately identifies ILNs in chest CT reports, enabling early lung cancer detection and reducing patient loss to follow-up.
<h3>Objectives/Aims</h3> FMRI-neurofeedback for major depressive disorder (MDD) is of great interest to clinicians and neuroscientists. Here, the aim was review current clinical trials evidence. <h3>Methods</h3> We undertook a systematic literature search fMRI-neurofeedback in MDD, including our unpublished results. <h3>Results</h3> effective MDD when reinforcing brain responses positive pictures,<sup>1</sup> but not superior control neurofeedback intervention recent randomised controlled...