جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Pain Perception
• Neuroimaging
• +۳ مورد دیگر

Dr. Falk Eippert is a Research Fellow and Group Leader of the Max Planck Research Group Pain Perception at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany. His research focuses on understanding pain mechanisms, neuroimaging techniques for spinal cord and brain function, and placebo effects. He holds a PhD in Systems Neuroscience from the University of Hamburg and completed postdoctoral training at the University of Oxford's FMRIB Centre. Key research interests include the neural basis of pain perception, non-invasive electrophysiological methods for spinal cord activity recording, and high-field MRI applications in CNS studies. His work bridges clinical pain management and fundamental neuroscience, addressing topics like thermosensation modulation, neuroimaging reliability, and therapeutic neuromodulation effects. He has pioneered spinal cord fMRI protocols and developed automated segmentation tools for neuroimaging data. His lab actively contributes to open science initiatives through multi-center collaborations and shared datasets, advancing spinal cord and brain imaging standards.

• Neuroscience
• Neuroimaging
• Dementia Research
• +۵ مورد دیگر

Dr. Luis Peraza Rodriguez is a researcher at Newcastle University, focusing on neurodegenerative diseases, particularly dementia with Lewy bodies and Alzheimer's disease. His work integrates neuroimaging techniques (fMRI, EEG) with network neuroscience approaches to understand disease-specific brain connectivity patterns and their clinical implications. He collaborates extensively with experts in neurology, neuroscience, and medical imaging. Key research themes: Functional connectivity disruptions in dementia subtypes, biomarker development for differential diagnosis, and structural/functional brain network analysis. Notable contributions include identifying divergent brain network alterations between Lewy body dementia and Alzheimer's, quantifying cognitive fluctuations via EEG, and developing multimodal diagnostic approaches combining EEG and MRI. His work emphasizes translational applications to improve clinical diagnostics and patient management.

• Cognitive Neuroscience
• Neuropsychology
• Neuro-Oncology
• +۳ مورد دیگر

Dr. Jennifer Vega is an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at the University of Massachusetts Chan Medical School. She holds a BS in Psychology from the University of Arizona and a PhD in Cognitive & Systems Neuroscience from Vanderbilt University (2018). Her research focuses on translational neuroscience addressing cognitive aging in vulnerable populations, particularly chemotherapy-related cognitive impairment in cancer survivors. Key areas include neuroimaging, cognitive psychology, and clinical neuroscience. Education: Bachelor of Science in Psychology, University of Arizona Doctorate in Cognitive & Systems Neuroscience, Vanderbilt University (2018) Her work investigates novel interventions like nicotine therapy and computerized cognitive training to mitigate cognitive deficits in cancer survivors. Research themes span pathologic cognitive aging, neuro-oncology, and patient-centered translational strategies. Publications emphasize neuroimaging biomarkers, functional connectivity alterations, and clinical trial methodologies. Dr. Vega’s contributions include pioneering feasibility studies on cognitive enhancement strategies and advancing understanding of post-chemotherapy cognitive dysfunction mechanisms. She maintains affiliations with the T.H. Chan School of Medicine’s Psychiatry department and collaborates on projects addressing late-life cognitive impairment in diverse populations.

• Neuroscience
• Psychiatry
• Neuroimaging
• +۴ مورد دیگر

E. Kale Edmiston is an Associate Professor at the T.H. Chan School of Medicine, UMass Chan Medical School , where they investigate bottom-up sensory processing in mood and anxiety disorders. They hold secondary appointments in the NeuroNexus Institute and Morningside Graduate School of Biomedical Sciences within the Psychiatry and Behavioral Sciences department. Education: BA in Cognitive Science from Hampshire College, PhD in Neuroscience from Vanderbilt University Their research integrates neuroimaging and neuromodulation to study ventral visual stream function during emotion and novelty perception in youth. Recent work focuses on reward circuitry in bipolar disorder, structural brain alterations in suicidal behavior, and transgender healthcare access . Publications cluster around Psychiatry , Neurology , and Diagnostic Imaging with applications in mood disorders, autism, and neurodegenerative conditions. Edmiston contributes to interdisciplinary networks including autism neuroimmunology, cross-disorder brain connectivity analysis, and transgender health policy (e.g., co-authoring the International Standards of Care for Transgender Health ). Their work frequently employs functional MRI and diffusion tensor imaging across human and animal models.

Philippe Peigneuxمشاهده پروفایل

استاد

• Sleep and Memory Consolidation
• Cognitive Neuroscience
• Neuroimaging
• +۲ مورد دیگر

Philippe Peigneux is a Tenure Professor of Clinical Neuropsychology at the Université Libre de Bruxelles (ULB), Belgium, where he co-directs the Neuropsychology and Functional Neuroimaging Research Unit (UR2NF) affiliated with the Center for Research in Cognition and Neurosciences (CRCN) and ULB Neurosciences Institute (UNI). With over 200 peer-reviewed publications since 1996, his research examines sleep-memory interactions, cognitive processes across vigilance states, and neural plasticity in healthy and clinical populations using multimodal neuroimaging (fMRI, EEG, MEG, NIRS). His core research focuses on: Sleep-dependent memory consolidation mechanisms Neurocognitive impacts of sleep loss and interventions Motor skill acquisition and neuroplasticity Aging and pathological conditions (ADHD, MS, epilepsy) Within-sleep stimulation techniques for memory enhancement Recent publications demonstrate strong emphasis on sleep neuroimaging methodologies, motor memory consolidation dynamics, and developmental aspects of cognitive processing. Work frequently integrates behavioral paradigms with advanced neural measures to map plasticity across wake-sleep cycles. Professor Peigneux has held significant leadership roles at the European Sleep Research Society including President (2012-2016) and Scientific Committee membership, reflecting his standing in the field. He currently supervises doctoral research on sleep fragmentation, motor learning, and age-related neurocognitive changes.

• Medical Engineering
• Biomedical Engineering
• Lasers and Optics
• +۷ مورد دیگر

Anna Luiza Barszczak Sardinha Letournel is a Researcher at the University of Lisbon's Institute of Biophysics and Biomedical Engineering and an Invited Assistant Professor at the Polytechnic Institute of Setúbal. She holds a PhD in Fundamental Physics (Lasers and Optics) from the Polytechnic School of France and an Integrated Master's in Biomedical Engineering from NOVA University of Lisbon. Her research focuses on neuroadaptive systems, biomedical engineering, and medical imaging, with recent work on virtual reality-based therapies and wearable sensor applications in biomechanics. She leads the 'Digital Health and Technological Innovation' Research Group at CIIAS and contributes to projects like Neuroadaptive Systems for Brain Restoration (NEURO-CONNECT STIM). She has authored over 20 publications, including high-impact studies on femtosecond spectroscopy, neuroimaging, and post-stroke recovery. Her teaching roles include courses on Biomechanics, Medical Imaging, and Nanotechnologies in Biomedicine at the Polytechnic Institute of Setúbal. Proficient in multiple languages (Portuguese, French, English, Polish, Italian), she actively participates in academic committees, thesis evaluations, and international conferences.

Joshua Lukemireمشاهده پروفایل

استاد پژوهشی

• Imaging Bayesian Analysis
• High-Dimensional Imaging Data Analysis
• Brain Network Analysis
• +۳ مورد دیگر

Joshua Lukemire is an Assistant Research Professor at Emory University's Department of Biostatistics and Bioinformatics. His research focuses on developing statistical methods for analyzing high-dimensional imaging data, particularly in pediatric applications like near-infrared spectroscopy for monitoring red blood cell transfusion efficacy in preterm infants. He also explores brain network differences between clinical groups using Bayesian techniques and hierarchical modeling. Education: B.S. from University of Georgia; M.S. and Ph.D. from Emory University (Department of Biostatistics). Research interests include Imaging Bayesian Analysis, longitudinal brain network connectivity studies, and statistical methods for healthcare applications. His work bridges neuroimaging analysis, pediatric medicine, and advanced computational statistics. Recent publications highlight innovations in functional brain network generation with graph neural networks (e.g., Fbnetgen and Braingb tools), as well as clinical studies on transfusion efficacy in preterm infants and electroconvulsive therapy outcomes. His methodological contributions include sparse Bayesian modeling, optimal experimental designs, and nonparametric vector autoregression approaches. No advising or grant details are listed in the provided text. His work is supported by collaborations across disciplines, though specific lab affiliations are not mentioned.

Tim Salomonsمشاهده پروفایل

دانشیار

• Pain Management
• Neuroscience
• Psychology
• +۳ مورد دیگر

Tim Salomons is an Associate Professor in the Department of Psychology at Queen's University, Canada. He holds a PhD from the University of Wisconsin-Madison (2009) and an M.Sc. from the same institution (2007). His research focuses on understanding the brain-body interactions underlying pain perception, chronic pain mechanisms, and the biological basis of cognitive/affective pain responses. Specific interests include pain resilience, neuroimaging of pain modulation, and translational strategies for pain management. His work spans interdisciplinary collaborations, including studies on pain and mental health comorbidity (e.g., PTSD, depression), neural correlates of pain perception, and validation of clinical assessment tools. Key contributions include exploring pain's role in suicide risk, developing the Sensitivity to Pain Traumatization Scale, and investigating biomarkers for treatment response in chronic pain populations. Salomons has published over 60 papers in journals like Nature Neuroscience , Pain , and Journal of Pain . His research emphasizes bridging basic neuroscience with clinical applications, often involving fMRI and functional connectivity analyses. He collaborates with military health researchers, psychologists, and neurologists to address pain-related disability and improve patient outcomes. Lab activities focus on pain neurobiology, with a lab site dedicated to translational pain research. His work highlights the importance of psychological factors (e.g., helplessness, self-efficacy) in pain perception and treatment efficacy.

Zeynep Sayginمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Developmental Psychology
• Neuroimaging
• +۴ مورد دیگر

Dr. Zeynep Saygin is an Associate Professor in the Department of Psychology at The Ohio State University, specializing in Cognitive Neuroscience, Developmental Psychology, and Neuroimaging. She leads the Saygin Cognitive Neuroscience Lab (Z-Lab), focusing on brain structure-function relationships, neurodevelopment, and clinical applications of neuroimaging technologies. Her work integrates behavioral measures, fMRI, DWI, and computational methods to study brain plasticity, functional specialization, and disorders such as dyslexia, social anxiety, and traumatic brain injury. Education: PhD, Systems Neuroscience, Massachusetts Institute of Technology (2012) BSc, Neuroscience, Brown University (2005) Research Interests: Functional and structural organization of the human brain Developmental trajectories of cognitive functions Neuroimaging predictors for clinical outcomes (e.g., treatment response in social anxiety) Impact of trauma and repetitive head injuries on brain connectivity Awards & Honors: President’s Research Excellence Catalyst Award (2022–2024) Alfred P. Sloan Research Fellow in Neuroscience (2018) National Institutes of Health Postdoctoral National Research Award (2014–2017) Wellcome Trust/Koch Institute Image Awards (2014) Labs & Teams: Z-Lab explores brain development and plasticity using MRI and behavioral paradigms Current projects include youth football neurotrauma studies and neonatal brain connectivity

Yuanyuan Gaoمشاهده پروفایل

استادیار

• Neuroimaging
• Biomedical Engineering
• Machine Learning
• +۳ مورد دیگر

Dr. Yuanyuan Gao is an Assistant Professor in the Department of Biomedical Engineering at Wichita State University, where she leads the Neuroimaging Lab. Her research focuses on advancing optical neuroimaging techniques, particularly functional near-infrared spectroscopy (fNIRS), to enhance clinical applications and understand neural processes in neurological and psychiatric conditions. She also holds a postdoctoral position at Stanford University, emphasizing neuroimaging combined with machine learning and motor skill analysis. Education: Ph.D. in Biomedical Engineering Affiliations: Wichita State University (Primary), Stanford University (Postdoc) Research Interests: Dr. Gao's work spans neuroimaging method development (e.g., fNIRS artifact correction, multimodal EEG-fNIRS integration), clinical applications (e.g., aphasia, Fragile X syndrome), and translational studies in motor learning and surgical skill assessment. She emphasizes inclusivity in neuroimaging by addressing demographic variability in signal quality. Publications: Her recent work highlights advancements in fNIRS signal processing, motion artifact removal via deep learning, and applications in surgical skill evaluation. Key themes include neural plasticity, environmental toxin impacts, and functional connectivity analysis. Labs/Teams: Her Neuroimaging Lab develops cutting-edge fNIRS methodologies and collaborates on translational projects, such as neurostimulation for surgical skill enhancement and machine learning-driven predictive models.

Alexandra Gaynorمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Memory
• Attention
• +۲ مورد دیگر

Alexandra Gaynor is an Assistant Professor in the Department of Psychology at Montclair State University's College of Humanities and Social Sciences. She earned her Ph.D. in Behavioral and Cognitive Neuroscience from the City University of New York and completed postdoctoral training at Memorial Sloan Kettering Cancer Center and Columbia University Medical Center. Her research program investigates cognitive and neural mechanisms underlying memory and attention processes in older adults using multimodal approaches including non-invasive brain stimulation, neuroimaging, and behavioral assessment. Key focus areas include: Roles of disease history, lifestyle factors, and individual differences in neurocognitive function Efficacy of non-invasive brain stimulation for cognitive enhancement in clinical populations Recent publications demonstrate strong thematic focus on cognitive aging, cancer survivorship, neuroimaging biomarkers, and lifestyle interventions. Her work appears in leading neuropsychology and neuroscience journals with recent emphasis on cognitive outcomes in cancer survivors and dietary/exercise interventions.

• Translational Neuroscience
• Psychiatry
• Neuroimaging (fMRI)
• +۶ مورد دیگر

Prof. Drozdstoy Stoyanov is a Professor at the Department of Psychiatry and Medical Psychology, Medical University of Plovdiv. He holds visiting fellowships at the University of Pittsburgh and Oxford University, with additional certifications from the University of Central Lancashire and Basel. His roles include Vice President of the European Society for Person-Centred Healthcare and the Specialized Group of Philosophy at King’s College London. He serves as an editorial board member for journals like European Journal of Person-Centered Healthcare and Frontiers in Psychiatry . Education: Graduated from Medical University of Sofia, completed a PGCert at Oxford University, and holds advanced degrees including DSc and IDFAPA credentials. Research focuses on translational neuroscience, psychiatric classification systems (e.g., RDoC), and neuroimaging applications in mood disorders and schizophrenia. Projects include biomarker identification for depression, functional connectivity analysis in psychiatric disorders, and the Medical Informatics Platform (MIP) for global data sharing. Research interests emphasize neurobiological and immunological mechanisms of mental disorders, cross-validation of clinical scales with neuroimaging, and values-based healthcare practices. Over 160 publications include 6 monographs and >600 citations. Awards include the 2018 International Distinguished Fellow from the American Psychiatric Association. Leadership in global initiatives: Collaborates with the World Health Organization’s Collaborating Centre for Values-Based Practice and chairs multinational studies on auditory hallucinations and depression biomarkers. Active in promoting precision psychiatry through neuroimaging and computational neuroscience methods.

• Medical Image Analysis
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Georg Langs is a PartTime Lecturer at the Faculty of Informatics, Vienna University of Technology , specializing in Medical Image Analysis , Machine Learning , and Computer Vision applications in Radiology and Neuroscience . His research bridges Biomedical Engineering and Pattern Recognition to advance diagnostics and predictive modeling in healthcare. His work focuses on spatiotemporal disease modeling (e.g., bone lesion progression in multiple myeloma), fetal brain connectivity via in-utero fMRI, and automated image segmentation using deep learning and probabilistic frameworks. He has developed cloud-based benchmarking systems for medical image analysis and contributed to functional connectivity mapping in pediatric and fetal neuroscience. Key article trends include AI-driven radiology , dynamic lesion prediction , and reproducibility in fetal imaging . His collaborations span institutions in Austria, the UK, and China. He mentors students in deep learning , longitudinal image analysis , and medical AI through diploma theses.

• Psychiatry
• Psychology
• Genetics
• +۵ مورد دیگر

Xingguang Luo is an Assistant Professor and Associate Research Scientist in the Department of Psychiatry at Yale School of Medicine. His academic career spans over two decades with significant contributions to psychiatric genetics and neuroscience research. His educational background includes an MD from Shanghai Medical University (2000), followed by postdoctoral training at Yale University (2000-2003). He served as an Assistant Professor at Yale University School of Medicine from 2006-2012 before advancing to his current position. Dr. Luo's research focuses on the intersection of psychiatry, genetics, and neuroscience, with particular emphasis on substance use disorders, schizophrenia, depression, and sleep disorders. His work employs advanced genomic techniques including genome-wide association studies, methylome-wide analyses, and polygenic risk scoring to understand the biological underpinnings of mental illness. He has made significant contributions to understanding the genetic architecture of alcoholism through NIH-funded projects including R01 grants on alcoholism genetics and R21 grants on substance co-dependence. His recent publications demonstrate a strong trajectory in psychiatric genetics research, with increasing focus on integrating multi-omics approaches with neuroimaging and clinical phenotypes. His work frequently appears in high-impact journals covering schizophrenia, addiction, and mood disorders, with particular emphasis on gene-environment interactions and biomarker discovery. Dr. Luo maintains active collaborations with leading researchers at Yale including Chiang-Shan Ray Li, Joel Gelernter, and John Krystal. His research team frequently publishes on topics ranging from genetic risk variants to neurobiological mechanisms underlying psychiatric conditions. He has received consistent NIH funding for his research on alcoholism genetics, including projects focused on fine-mapping risk loci in ADH gene cluster and ALDH2 gene, deep sequencing of glutamatergic pathway genes in alcohol and nicotine co-dependence, and post-GWAS transcriptome-wide LncRNA profiling in alcoholism.

• Psychiatry
• Digital Health
• Mental Health Treatment Innovation
• +۵ مورد دیگر

Manu Sharma, MD is an Assistant Clinical Professor of Psychiatry at Yale School of Medicine (Yale University). He serves as Unit Chief of the Inpatient Psychosis Unit at Yale New Haven Psychiatric Hospital, focusing on developing digital health tools to improve care for individuals with chronic and serious mental illnesses. His research interests include digital psychiatry innovations, anti-inflammatory interventions in schizophrenia, and biomarker discovery in mental health. Sharma’s academic contributions span neuroimaging, systemic reviews of treatment efficacy, and clinical challenges in psychiatric diagnosis. Notable work includes studies on resting-state functional connectivity in schizophrenia, inflammatory markers in bipolar disorder, and neuromodulation for treatment-resistant depression. He has been recognized with an appointment to the American Psychiatric Association (APA) Committee on Innovation, focusing on digital health advancements. His clinical expertise bridges inpatient care and academic research, emphasizing translational medicine. Ongoing projects explore real-world task ambiguity in mental healthcare and the role of anti-inflammatory therapies in metabolic syndrome comorbidities. Sharma’s work aims to integrate technology-driven solutions into standard psychiatric practices while addressing systemic gaps in patient care.