جست‌وجوی استاد و پژوهشگر

Vikaas Sohalمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Brain Circuits
• +۶ مورد دیگر

Vikaas Sohal, MD, PhD is a Professor in the Department of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine and a member of the UCSF Weill Institute for Neurosciences. He directs a neuroscience laboratory investigating the brain circuits underlying fundamental aspects of cognition and emotion, with particular focus on gamma oscillations in normal cognition and schizophrenia, as well as how rhythmic brain activity encodes emotional states. Dr. Sohal is also a board-certified psychiatrist who supervises residents in the Early Psychosis (PATH) clinic. Dr. Sohal earned his A.B. and S.M. in Applied Mathematics from Harvard University in 1997, followed by an M.A.St. in Mathematics from the University of Cambridge in 1998. He completed his M.D./Ph.D. in Neuroscience at Stanford University in 2005, where he also completed his residency in adult psychiatry. During his residency, he conducted postdoctoral research with Dr. Karl Deisseroth, performing some of the first experiments using optogenetics to study information processing in brain circuits. Dr. Sohal's research has focused on neural circuit mechanisms underlying cognitive and emotional processes, with particular emphasis on gamma oscillations, prefrontal-hippocampal interactions, and the role of specific interneuron subtypes in information processing. His laboratory has made significant contributions to understanding how parvalbumin interneurons generate gamma oscillations that organize prefrontal networks to promote behavioral adaptation. His recent work has explored the circuit basis of emotional states, pain-related aversion, and neuropsychiatric disorders. His publication record shows a consistent trajectory of high-impact research, with recent publications spanning topics from psilocybin effects to thalamocortical organoids for neuropsychiatric disorder modeling. His work demonstrates a progression from fundamental circuit mechanisms to translational applications for psychiatric disorders, particularly focusing on schizophrenia and emotional processing abnormalities. Dr. Sohal has secured continuous NIH funding as Principal Investigator since 2009, including multiple R01 grants, an R56, DP2, R00, and K99 awards, demonstrating sustained research productivity and significance. His research program represents a sophisticated integration of molecular, cellular, circuit, and behavioral approaches to understand and potentially treat neuropsychiatric disorders.

Franziska M. Korbمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Decision-Making
• Neuroimaging
• +۳ مورد دیگر

Franziska M. Korb is a Researcher at the Institute of General Psychology, Biopsychology and Methods of Psychology at Technische Universität Dresden. She holds a PhD in Psychology from the University of Leipzig (2008) and has conducted extensive postdoctoral research at institutions including Duke University (USA), the Max Planck Institute for Human Cognitive and Brain Sciences (Leipzig), and the University Clinic Cologne. Her research focuses on cognitive control mechanisms, decision-making processes, and the neural underpinnings of self-control and emotional regulation. She has received awards such as the Charlotte Bühler Award for teaching excellence (2014) and grants for pilot studies and travel. Korb is also an ad-hoc reviewer for multiple prestigious journals and research councils. Her academic journey includes a diploma in Psychology from Leipzig (2004) and research internships at UC San Diego and the Max Planck Institute. She explores topics like brain networks (e.g., salience network), decision conflict, and the role of anticipated emotions in self-regulation. Her work combines neuroimaging (fMRI, EEG), transcranial stimulation (TMS/tDCS), and behavioral experiments to study cognitive and affective processes in health and clinical populations (e.g., anorexia nervosa). Research Highlights: Investigates how brain connectivity predicts self-controlled choices. Examines neural mechanisms of honesty and reward circuits in moral decisions. Studies framing effects in food choices and future consequences in health behaviors. Explores cognitive effort tolerance and dark triad personality traits. Awards and Grants: Charlotte Bühler Teaching Award (2014) DAAD Travel Award (2014) DEFD Best Poster Award (2013) Start-up grant for pilot studies (2014) Professional Contributions: Active in open science initiatives, replication studies, and academic ethics education. Collaborates internationally, including with Duke University and the Max Planck Society.

Regina Lapateمشاهده پروفایل

استادیار

• Affective Neuroscience
• Emotional Processing
• Cognitive Control
• +۳ مورد دیگر

Dr. Regina Lapate serves as an Assistant Professor in the Department of Psychological and Brain Sciences at the University of California, Santa Barbara (UCSB), within the College of Letters & Science. She directs the LEAP Neuro Lab (Lapate Experimental Affective Psychophysiology and Neuroscience Laboratory), where her team investigates neural mechanisms of emotion-cognition interactions using multimodal methodologies including TMS, EEG, fMRI, and psychophysiology. Her educational trajectory includes a PhD from the University of Wisconsin-Madison (2015) under Dr. Richard Davidson, followed by an NIH postdoctoral fellowship at UC Berkeley (2016) with Dr. Mark D'Esposito. She co-edited the 2nd edition of The Nature of Emotion: Fundamental Questions in 2018. Dr. Lapate's research centers on emotional processing, cognitive control, and adaptive emotion regulation, with particular emphasis on temporal memory dynamics and prefrontal cortex function. Her lab employs causal inference approaches to explore how emotional states sculpt sensory processing and behavioral goals, aiming to uncover mechanisms that promote resilience against psychopathology. Recent work demonstrates how emotional context modulates temporal memory and action goal representations, revealing critical prefrontal circuitry involved in emotional adaptation. Her publication trends reveal deep integration of time perception with emotional processing, neurostimulation-based causal testing of prefrontal mechanisms, and translational applications for mood and anxiety disorders. The 2024-2025 publications particularly highlight anorexia nervosa symptomatology, temporal coding in emotion, and open-loop motor circuit dissociations. Scientific recognition includes: Hellman Fellowship (2024) Prestigious NIH grant for prefrontal mechanism research (2023) Regent’s Junior Faculty Award (2023) Dr. Lapate has secured substantial grant funding including an NIH award to elucidate prefrontal mechanisms of emotional processing and regulation. Her LEAP Neuro Lab functions as a collaborative hub where graduate and undergraduate researchers investigate fundamental questions about how emotional experiences dynamically interact with cognitive processes to shape adaptive functioning and psychopathology vulnerability.

Marc H. Schieberمشاهده پروفایل

استاد

• Neural Control of Movement
• Motor Cortex Function
• Brain-Machine Interfaces
• +۵ مورد دیگر

Marc H. Schieber, M.D., Ph.D. is a Part-Time Professor in the Department of Neurology at the University of Rochester School of Medicine and Dentistry. He leads the Schieber Lab, which focuses on neural control of hand and finger movements and brain-machine interface technology development. His research has significant implications for restoration and repair of damaged neurological function. Dr. Schieber's educational background includes both an MD and PhD from Washington University School of Medicine (1982), followed by a Neurology residency at Massachusetts General Hospital (1983-1986) and an Internal Medicine internship at Barnes-Jewish Hospital South (1982-1983). His academic journey was supported by prestigious fellowships including the Medical Scientist Training Program Fellowship (1974-1982). His research primarily investigates how the brain controls fine finger movements used in activities like typing, playing musical instruments, or performing delicate surgery. More recent work explores the combination of reaching, grasping, and manipulating. His lab studies how the brain controls complex muscle movements to achieve required actions, with applications to brain-machine interface technology. His publications reveal consistent focus on neural coding, motor cortex function, and the development of neuroprosthetics for restoring lost function. Dr. Schieber's work shows strong trends in understanding neural representations of movement, cortical organization for motor control, and translating these findings to practical brain-computer interfaces. His recent publications (2023-2025) increasingly focus on intracortical microstimulation for injecting information into cortical networks, neural synchrony in sensorimotor systems, and computational approaches to motor control. Javits Investigator Merit Award (2003-2010) Clinical Investigator Development Award (1986-1989) Phi Beta Kappa (1974) A.B. summa cum laude (1974) Medical Scientist Training Program Fellowship (1974-1982) Dr. Schieber has mentored numerous graduate students and postdoctoral fellows who have gone on to successful careers in academia and industry. His lab has received substantial research funding supporting investigations into neural control mechanisms and brain-machine interface development. The Schieber Lab has been an important contributor to understanding distributed motor control in the cortex and translating these findings to potential clinical applications for neurological rehabilitation. His laboratory work has consistently examined the distributed nature of motor control in the cortex, challenging traditional views of somatotopic organization and demonstrating how multiple cortical areas work together to produce coordinated movements. Current research directions include investigating how to effectively inject information into cortical networks using microstimulation and understanding the computational principles underlying motor control.

• Perinatal Mental Health
• Self-Regulation
• Child Development
• +۳ مورد دیگر

Beatrijs Van den Bergh serves as a Visiting Professor at KU Leuven with primary affiliations in the Health Psychology unit and dual membership in the KU Leuven Brain Institute (LBI) and KU Leuven Institute for Child and Youth (LC&Y). Her research program centers on perinatal mental health and developmental pathways from maternal prenatal anxiety to offspring outcomes. Her core research interests include: self- and co-regulation dynamics in dysregulated families; neurodevelopmental impacts of prenatal stress; mindful parenting interventions; epigenetic mechanisms (e.g., NR3C1 methylation); and preventive strategies for infant self-regulation. She employs multimodal methodologies spanning neuroimaging, behavioral observation, and longitudinal cohort analysis. Analysis of her 2023-2025 publications reveals strong thematic continuity in studying maternal-offspring biobehavioral synchrony, with increasing emphasis on intervention frameworks and environmental moderators like green spaces. Her work consistently bridges basic neuroscience with clinical applications in mental healthcare. Dr. Van den Bergh currently co-promotes two major funded projects: Self- and co-regulation dynamics in dysregulated families (2023-2028), employing laboratory-to-home multimodal assessment, and Supporting infant self-regulation development (2023-2027), focused on preventive mental healthcare strategies. She maintains active international collaborations evidenced by presentations at the Marcé Society and WAIMH conferences. As a core member of KU Leuven's Health Psychology research unit, she contributes to interdisciplinary teams within the Brain Institute and Child and Youth Institute, frequently collaborating with neuroscientists, clinicians, and public health researchers on translational studies presented at venues including the European Society for Cognitive and Affective Neuroscience.

Håkan Fischerمشاهده پروفایل

استاد

• Emotional Processing
• Social Cognition
• Cognitive Neuroscience
• +۷ مورد دیگر

Håkan Fischer is a Professor of Human Biological Psychology at Stockholm University, where he has served as Head of the Department of Psychobiology and Epidemiology since 2011. He also holds an associate professor position at Karolinska Institutet, is affiliated with the Aging Research Center and Stockholm University Brain Imaging Centre, and is a faculty member at Digital Futures at the Royal Institute of Technology. Since September 2025, he has additionally served as a visiting professor at Linköping University. Fischer has established himself as a leading researcher in emotional and cognitive processing, with particular expertise in socio-emotional aspects across the lifespan. Fischer earned his PhD in psychology from Uppsala University in 1998, followed by postdoctoral research at Harvard Medical School (1999-2001). He then worked at the Aging Research Center at Karolinska Institutet before joining Stockholm University in 2011. His academic journey includes a sabbatical year (2021-2022) at the University of Florida's Department of Psychology. Fischer is actively involved in university governance as a member of the Swedish Research Council's Subject Council for Humanities and Social Sciences (2023-present) and represents Stockholm University in multiple international collaborations. Håkan Fischer's research primarily focuses on investigating intra- and interindividual differences in affective, cognitive, social and perceptual processing, with special emphasis on age-related differences in adults. His laboratory employs advanced neuroimaging techniques including fMRI, PET, and fNIRS to examine brain function, while also utilizing structural imaging methods like T1-weighted imaging, DTI, and perfusion imaging to study brain structure. Fischer advocates for single-subject small-N designs to better understand emotional and cognitive mechanisms. His current research lines include socio-emotional perception and recognition, oxytocin effects on socio-emotional processing across the lifespan, and AI development for interpersonal communication analysis. Analysis of Fischer's recent publications reveals a strong focus on emotion recognition across populations, neurobiological mechanisms of socio-emotional processing, and methodological innovations. His work consistently integrates behavioral testing, neuroimaging, and genetic analysis to provide comprehensive insights. The increasing incorporation of AI approaches demonstrates his adaptation to emerging technological advances in psychological research. Fischer has published 136 peer-reviewed articles with over 12,200 citations and a Google Scholar h-index of 53. Fischer has received consistent funding since 2002 from prestigious sources including the Swedish Research Council, Wallenberg Foundation, STINT, Riksbankens Jubileumsfond, and Konung Gustav V och Drottning Victorias stiftelse. He currently leads nine funded research projects (two as principal investigator totaling 6.9 million SEK, seven as co-applicant totaling 24.8 million SEK) spanning multiple international collaborations in Sweden, Germany, and the USA. As an educator, Fischer leads the basic course in Cognitive Neuroscience and the master's course in Emotion Psychology and Affective Neuroscience. He regularly teaches at both undergraduate and advanced levels, primarily in biological psychology, cognitive neuroscience, and emotion psychology. Fischer currently supervises six doctoral students (one as main supervisor, four as assistant supervisor) and has mentored graduate students since 2002. Håkan Fischer leads a dynamic research laboratory that investigates emotional, social, perceptual, and cognitive processing. The lab examines how intraindividual variations across stimuli and time, as well as interindividual differences in age, gender, genetics, personality, and sleep deprivation affect these processes. His lab maintains active national and international collaborations with researchers at Stockholm University, Uppsala University, Karolinska Institutet, University of Florida, and University of Gothenburg, creating a robust interdisciplinary research environment focused on translating basic neuroscience into practical applications.

Sandra Martinمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Aging and Cognition
• Neurolinguistics
• +۳ مورد دیگر

Sandra Martin is a Postdoctoral Researcher at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany, where she works in the Lise Meitner Research Group Cognition and Plasticity. Her research combines neuroimaging and neuromodulation methods with graph theory, large language models, and behavioral modeling to explore cognitive changes across the adult lifespan, with a particular focus on age-related changes in memory processes and their interaction with executive functions. Education: PhD in Cognitive Neuroscience (2018-2023) from the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig M.Sc. in European Master of Clinical Linguistics (2014) from University of Potsdam, Germany & University of Groningen, The Netherlands B.A. in Linguistics (2012) from Humboldt University Berlin, Germany Research Interests: Dr. Martin's research focuses on cognitive aging , neurolinguistics , and network neuroscience . She investigates how domain-general networks contribute to language prediction and semantic cognition across the adult lifespan. Her work often employs non-invasive brain stimulation techniques like transcranial magnetic stimulation (TMS) to understand the causal roles of specific brain regions in cognitive processes. She is particularly interested in how executive resources shape language predictability effects and how these relationships change with age. She's a strong advocate for open and reproducible research practices including preregistration and registered reports. Her recent publications reveal a strong trend toward understanding the neural mechanisms of semantic cognition and language processing across the lifespan. She combines multiple methodologies including fMRI, TMS, graph theory, and computational modeling to investigate how brain networks reorganize with age and how this affects cognitive performance. Her work has important implications for understanding cognitive aging and developing interventions for language disorders like aphasia. Scientific Awards: Doctoral fellowship from the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) Advising and Grants: Dr. Martin has been involved in several research projects, including a DFG-funded project on 'The role of domain-general networks in natural language predictions' together with Prof. Dr. Gesa Hartwigsen (Leipzig University) and Prof. Dr. Jonas Obleser (University of Lübeck). While there's no explicit mention of students she's formally advising, her role as a postdoc suggests she likely mentors junior researchers. She actively promotes open and reproducible research practices and co-organized a symposium on Good Scientific Practice titled 'Doing Good – Scientific Practice under Review'. Labs and Teams: Dr. Martin is part of the Lise Meitner Research Group Cognition and Plasticity at the Max Planck Institute for Human Cognitive and Brain Sciences. She collaborates with researchers from Leipzig University and University of Lübeck. Her work often involves interdisciplinary teams combining expertise in cognitive neuroscience, linguistics, and clinical neurology, particularly in studying aphasia and language recovery after stroke. Her research group maintains open science practices with code and data available on GitLab and OSF.

Max Garagnaniمشاهده پروفایل

مدرس ارشد

• Computational Neuroscience
• Neural Networks
• Cognitive Science
• +۷ مورد دیگر

Dr. Max Garagnani is a Senior Lecturer in Computer Science at Goldsmiths, University of London, and co-director of the MSc in Computational Cognitive Neuroscience. He holds dual PhDs from the University of Cambridge (Computational Cognitive Neuroscience, 2009) and the University of Durham (Artificial Intelligence, 1999). His primary research focuses on developing biologically realistic neural networks to model cognitive functions like language acquisition, decision-making, and perception-action integration. Garagnani's work emphasizes neurocomputational models constrained by brain anatomy and physiology, particularly exploring how language emerges from neural activity in the cortex. He has collaborated with institutions like the Free University of Berlin’s Brain Language Lab and the MRC Cognition and Brain Sciences Unit. His research combines computational modeling with neuroimaging (MEG/fMRI) and robotics (e.g., iCub). Key achievements include modeling semantic dementia breakdown, explaining visual cortex recruitment in blind individuals, and simulating prediction-error signals in cortical hierarchies. Awards include the EU Marie Curie Fellowship and EPSRC grants. He teaches courses in computational neuroscience and supervises projects in neural network modeling and cognitive systems.

Michael Petridesمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuropsychology
• Behavioral Neuroscience
• +۳ مورد دیگر

Michael Petrides is a Professor in the Department of Psychology at McGill University. His research focuses on neuropsychology and cognitive neuroscience, investigating the functions of the frontal, temporal, and parietal cortices through studies involving patients with brain lesions, animal models, and neuroimaging techniques like PET and fMRI. His work bridges human and non-human primate studies to understand cognitive mechanisms. Research Interests: Cognitive Neuroscience: Examines neural underpinnings of higher cognitive functions. Behavioral Neuroscience: Analyzes brain-behavior relationships via lesion studies and animal models. Neuroimaging: Utilizes PET and fMRI to map brain regions involved in memory, language, and decision-making. Publications Trends: His work emphasizes cross-species comparisons (human-macaque), functional connectivity analysis, and clinical applications of neuroimaging in neurosurgical planning. Advising & Grants: No student advisees listed. Grants and funding details not explicitly mentioned in provided materials. Labs/Teams: Affiliated with McGill's Psychology Department research groups studying cognitive neuroscience and brain architecture.

Richard S. Lewisمشاهده پروفایل

استاد

• Social Neuroscience
• Cultural Neuroscience
• Cognitive Neuroscience
• +۳ مورد دیگر

Richard S. Lewis serves as Professor of Neuroscience and Psychological Science at Pomona College, where he has maintained an active research program since 1985. Currently on leave for Fall 2025, he directs a laboratory specializing in cultural neuroscience using electrophysiology and functional near-infrared spectroscopy (fNIRS). His work examines how cultural frameworks shape neural processing of social and physical environments, with particular focus on self-construal differences between East Asian and European American populations. His educational foundation includes a Ph.D. from Michigan State University, Master of Arts from California State University, Los Angeles, and Bachelor of Science from University of California, Los Angeles. This training underpins his interdisciplinary approach bridging psychology, neuroscience, and cultural studies. Dr. Lewis's research program centers on three interconnected domains: (1) cultural modulation of neural responses to social stimuli using N400 and P3 event-related potentials; (2) acute/chronic stress effects on frontal EEG asymmetry and cognitive performance; and (3) neurocognitive sequelae of mild traumatic brain injury. His laboratory actively investigates how cultural background influences neural processing of contextual incongruities and emotional cues, revealing fundamental mechanisms of sociocultural cognition. His publication trajectory since 2006 demonstrates consistent advancement in cultural neuroscience methodology, increasingly incorporating ecological validity through naturalistic paradigms. The work shows progressive refinement from basic ERP studies of cultural priming to complex investigations of stress-cognition interactions in real-world academic settings, with recent emphasis on developing virtual reality methodologies for social neuroscience. Scientific recognition includes: Wig Distinguished Professorship Award for Excellence in Teaching (Pomona College, 1988 & 2011) National Institute of Mental Health Postdoctoral Fellowship (1984-1986) Research funding reflects his program's significance through: National Science Foundation Grant: "Stress, Stages of Memory, and Event-Related Potentials" (2002-2006) National Science Foundation MRI Grant: "Establishment of High-Density ERP Laboratory" (2001-2004) National Institutes of Health Grant: "Neurobehavioral Sequelae of Mild Pediatric TBI" (1989-1991) He actively mentors undergraduate researchers in his Pomona College laboratory, with students contributing to publications across cultural neuroscience and stress physiology domains. His laboratory maintains specialized facilities including high-density EEG systems and fNIRS equipment, recently enhanced through NSF instrumentation grants. Current work pioneers virtual reality integration to create ecologically valid social scenarios while preserving experimental control, aiming to uncover deeper sociocultural neural mechanisms through innovative methodology.

• Neuroscience
• Neurophysiology
• Computational Biology
• +۳ مورد دیگر

Dario Ringach is a Professor in the Department of Neurobiology at the University of California, Los Angeles (UCLA) School of Medicine . His research focuses on neural coding , visual cortex organization , and population dynamics in sensory processing . Key projects include studies on energy-efficient coding , Bayesian network estimation , and cortical adaptation mechanisms . NIH R01NS116471 (2020-2023): Population codes and sensory discrimination NIH R01EB022915 (2016-2021): Bayesian connectivity estimation NIH R01EY018322 (2007-2019): Theoretical visual cortex studies NIH R01EY012816 (2000-2011): Quantitative cortical processing His work spans Neuroscience , Computational Biology , and Neurophysiology , with recent emphasis on adaptation geometry , population coding , and neural normalization . Publications analyze mouse models and primate visual systems , covering topics like receptive field development , thalamocortical connectivity , and inhibitory circuits . Contributions include theoretical frameworks for energy efficiency and power laws in cortical processing. Key collaborations include researchers such as Joshua Trachtenberg (UCLA), Mario Dipoppa (UCLA), and Mark Frye (UCLA). He advocates for responsible animal research in neuroscience and has contributed to debates on scientific ethics and methodological transparency .

Mark T. W. Ebbertمشاهده پروفایل

دانشیار

• Alzheimer's Disease
• Neurodegenerative Disorders
• Genetics
• +۵ مورد دیگر

Mark T. W. Ebbert, PhD, is an Associate Professor at the University of Kentucky's Sanders-Brown Center on Aging, where he leads the Ebbert Lab. His work focuses on developing biomarkers for neurodegenerative diseases, particularly Alzheimer's disease (AD), leveraging cutting-edge genomic and transcriptomic techniques. He co-leads efforts in the Alzheimer's Disease Research Center's Biomarker Core, aiming to integrate neuroimaging, fluid biomarkers, and genomic data for precision medicine applications. Key research interests include analyzing genetic variants, long-read sequencing for disease resilience, and understanding inflammation's role in neurodegeneration. He has presented at high-profile venues like the Markesbery Symposium, discussing topics such as using long-read sequencing to identify AD biomarkers. His lab has produced over 55 publications, with a focus on resolving genomic 'dark regions' and improving biomarker accuracy through innovative methods like RNApysoforms visualization tools. Collaborating with interdisciplinary teams, Dr. Ebbert explores the interplay between genetics, epigenetics, and environmental factors in neurodegenerative diseases. His work bridges basic science and clinical translation, emphasizing the importance of genomic data integration for advancing AD diagnosis and treatment strategies.

Elizabeth C Thompsonمشاهده پروفایل

استادیار

• Adolescent Mental Health
• Psychosis-Spectrum Disorders
• Early Intervention
• +۴ مورد دیگر

Elizabeth C Thompson is Dean of Pembroke College and holds dual appointments as Assistant Professor of the Practice in Cognitive and Psychological Sciences and Assistant Professor of Psychiatry and Human Behavior (Research) at Brown University. She is a licensed psychologist in Rhode Island, with a Ph.D. in Clinical Psychology from the University of Maryland, Baltimore County, and postdoctoral training at Alpert Medical School and Brown University Health. Her research focuses on psychosis-spectrum disorders in adolescence, emphasizing risk factors, screening methods, and intervention strategies for mental health and safety risks. Dean, Pembroke College Assistant Professor of the Practice, Cognitive and Psychological Sciences Assistant Professor of Psychiatry and Human Behavior (Research) At Brown, Dr. Thompson operates within the Department of Cognitive and Psychological Sciences and the Department of Psychiatry and Human Behavior. She teaches clinical psychology courses and advises students pursuing psychology careers. Her clinical work centers on early psychosis through Bradley Hospital’s Stride Clinic, offering assessment and consultation services for Rhode Island youth and families. Her research includes pilot trials on family-oriented interventions for hospitalized adolescents with psychosis-spectrum symptoms and funded projects on sleep characteristics linked to psychosis-spectrum disorders, supported by the COBRE Center for Sleep and Circadian Rhythms. She collaborates extensively with researchers like Jennifer Wolff, Sarah Thomas, and Anthony Spirito. Dr. Thompson’s recent publications (2024–2019) span topics such as hallucinations and suicidal imagery, cannabis vaping effects, sleep disturbances, social media’s role in mental health, and trauma’s impact on psychosis. Her work often intersects with the Adolescent Mental Health Collaborative (AMHC) and utilizes interdisciplinary approaches, including actigraphy, biomarkers (e.g., interleukin-1 beta), and qualitative methods. She has secured NIH/NIMH, AFSP, and COBRE grants for studies like the LINC and Safety Net projects, reflecting her commitment to translating research into clinical practice. K23 MH119211 (NIH/NIMH): Treatment Engagement Protocol for Post-Discharge Psychosis Care YIG-1-167-19 (AFSP): Safety Planning for High-Risk Teens COBRE Center Grant: Sleep and Psychosis in Adolescents Her lab, SPARK Lab, partners with specialized clinics and emphasizes training opportunities in mental health research. She also contributes to policy discussions around early psychosis care quality and access, advocating for psychological expertise in healthcare synthesis. No scientific awards are explicitly mentioned, though her grant-funded research underscores her academic influence.

Paul Fletcherمشاهده پروفایل

استاد

• Neurobiological mechanisms of psychosis
• Computational psychiatry
• Clinical cognitive neuroscience
• +۳ مورد دیگر

Professor Paul Fletcher serves as the Bernard Wolfe Professor of Health Neuroscience at the University of Cambridge Department of Psychiatry and Clinical Director of the Cambridge Neuroscience Interdisciplinary Research Centre. He holds concurrent appointments as a Wellcome Trust Investigator and Honorary Consultant Psychiatrist with the Cambridgeshire and Peterborough NHS Trust and Cambridge University Hospitals NHS Trust. His research centers on neurobiological mechanisms of psychosis , computational psychiatry , and appetite control in disordered eating . Fletcher pioneered influential theories linking prediction error signaling to psychotic symptoms, demonstrating how perturbations in frontal lobe responses explain hallucinations and delusions. His work integrates neuroimaging, psychopharmacology, and computational modeling to bridge clinical observations with neural mechanisms. Analysis of his recent publications reveals a dominant focus on prediction error computation in psychosis cortical structural changes in mental illness neurobiological correlates of eating disorders computational modeling of perceptual inference dopaminergic mechanisms in learning translational neuroscience approaches His work increasingly incorporates multimodal neuroimaging and real-world applications like the Hellblade: Senua's Sacrifice project. Key recognitions include: BAFTA Award for Games Beyond Entertainment (2017) James Bull Lectureship (2017) Election to Academy of Medical Sciences (2012) WFSP Research Award in Biological Psychiatry (2005) Fletcher maintains significant research funding through Wellcome Trust appointments spanning over two decades, including current status as a Wellcome Trust Investigator. His clinical neuroscience program bridges the Department of Psychiatry with NHS trusts, emphasizing translational pathways from basic mechanisms to clinical applications. The Fletcher Group operates within the Cambridge Neuroscience network, collaborating extensively across departments and healthcare systems.

Wendy Hellerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Emotion-Cognition Interactions
• Neuroimaging
• +۷ مورد دیگر

Wendy Heller is a Professor of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the Cognitive Neuroscience Group at the Beckman Institute (part-time), Gender and Women's Studies, Biomedical and Translational Sciences, and the Institute for Sustainability, Energy, and Environment. She previously served as Director of Clinical Training and Department Head in the Psychology Department, and as Provost Fellow for diversity initiatives. B.A. in Spanish and Psychology with Honors, University of Pennsylvania M.A. and Ph.D. in Biopsychology, University of Chicago Her research focuses on neural mechanisms of emotion-cognition interactions in psychopathology, particularly anxiety and depression. Using fMRI, EEG, and ERP methods, she investigates brain lateralization, network connectivity, and top-down emotional regulation. A pioneer in inclusive science , she integrates equity considerations into psychology research frameworks. The 2010-2025 publications demonstrate sustained contributions to anxiety/depression neuroscience , with recurring themes in executive dysfunction , emotion regulation , neural plasticity , and transdiagnostic models . Her work bridges clinical psychology and cognitive neuroscience through methodological innovations in machine learning applications to neuroimaging. Scientific recognition includes: Larine Y. Cowan Make a Difference Award (2010) Arnold O. Beckman Research Award (2013) Executive Officer Distinguished Leadership Award (2019) PRESIDENT’S EXECUTIVE LEADERSHIP PROGRAM (2019-20) LAS Impact Award (2021) As director of the Cognitive & Affective Neuroscience of Psychopathology (CANOPY) Lab , she leads research on brain mechanisms in mental health, funded by NIMH and NIDA. Her team employs multi-modal approaches combining behavioral tasks, neuroimaging, and clinical assessments.