جستجوی استاد راهنمای دانشگاهی

Jacques-Donald Tournierمشاهده پروفایل

دانشیار

• Diffusion MRI
• Neuroimaging
• Tractography
• +۴ مورد دیگر

Dr. Jacques-Donald Tournier serves as Reader in Biomedical Engineering at King's College London's Centre for the Developing Brain, where he leads research in advanced diffusion MRI methodologies. His work spans the Department of Biomedical Engineering and Department of Perinatal Imaging and Health at St Thomas' Hospital, focusing on white matter connectivity characterization and neonatal brain imaging through the Developing Human Connectome Project. His educational background includes: PhD in Diffusion Tensor MRI, UCL Institute of Child Health (2003) MSc in Trabecular Bone Architecture Analysis, University of Cambridge (1999) BA, University of Cambridge (1998) Research interests center on computational neuroimaging innovation, with seminal contributions to spherical deconvolution, probabilistic tractography (Track Density Imaging, Anatomically Constrained Tractography), and fixel-based analysis. Current work prioritizes neonatal diffusion MRI optimization and multi-shell HARDI data analysis, driving advancements in both methodological rigor and clinical translation for neurosurgical applications. His research bridges engineering, neuroscience, and clinical medicine through the MRtrix3 open-source platform. Scientific recognition includes: Editor's Choice Award (2014) President's Awards (2009, 2013) Discovery Outstanding Researcher Award (2013) Outstanding Teacher Award (2006) Dr. Tournier currently supervises postgraduate research within active grant frameworks, including the EPSRC-funded MRtrix project (2023-2026) and MRC neurodevelopment studies in congenital heart disease (2021-2026). His mentorship emphasizes methodological innovation and clinical translation, with students contributing to high-impact publications in neuroimaging. The Centre for the Developing Brain provides a collaborative environment integrating software development, clinical research, and large-scale connectome projects, supported by substantial infrastructure from the Wellcome/EPSRC Centre for Medical Engineering.

• Neuroscience
• Psychiatry
• Sex and Gender Differences
• +۷ مورد دیگر

Elvisha Dhamala, PhD is an Assistant Professor of Psychiatry at the Feinstein Institutes for Medical Research (part of Northwell Health) where she directs the Brain-Based Predictive Modeling Lab (bpmlab.org). Her research program focuses on characterizing the neural bases of human behavior throughout development, with particular interest in sex and gender differences in brain structure, function, and their relationship to mental health. Dr. Dhamala earned her BSc in Neuroscience in 2017 from McGill University and completed her PhD in Neuroscience from Weill Cornell Medicine in 2021, working in the Computational Connectomics Lab. She then completed postdoctoral training at Yale University in the Holmes Lab as the inaugural Kavli Institute for Neuroscience Postdoctoral Fellowship for Academic Diversity. Her research interests span neuroscience, psychiatry, sex and gender differences, neurodevelopment, mental health, and machine learning. She has been particularly active in advocating for open neuroscience data practices, recently publishing an essay warning about threats to open data in neuroscience research. Her work integrates computational approaches with neuroimaging to understand brain-behavior relationships across development. Kavli Institute for Neuroscience Postdoctoral Fellowship for Academic Diversity Dr. Dhamala actively mentors students and collaborates with researchers across institutions. Her lab focuses on developing predictive models of brain-behavior relationships with emphasis on sex and gender differences. She has been involved in research examining barriers to adolescent participation in neuroscience studies and promoting diversity in neuroscience research. The Brain-Based Predictive Modeling Lab serves as a hub for interdisciplinary research at the intersection of neuroscience, psychiatry, and computational modeling, with a mission to advance understanding of how brain development relates to mental health outcomes across diverse populations.

• Neuroimaging
• Cognitive Aging
• Alzheimer's Disease
• +۵ مورد دیگر

Dr. Anne Maass is a Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Magdeburg, where she directs research focused on understanding the molecular underpinnings of normal and pathological cognitive aging using multimodal neuroimaging techniques. Her work integrates functional and structural MRI at 3T and 7T field strengths with PET imaging to study tau and amyloid-beta pathology in the aging brain. Dr. Maass's research interests center on how age-related pathologies accumulate in specific brain networks and affect cognitive function before significant neurodegeneration occurs. She investigates why some individuals develop pathology but remain cognitively healthy (resilience) and why others age successfully despite risk factors (resistance). Her work spans several key areas including tau and amyloid-beta pathology spread , cognitive reserve mechanisms , hippocampal vascularization patterns , and neuroinflammatory processes in Alzheimer's disease progression. Her extensive publication record demonstrates a consistent trajectory from basic mechanisms of protein accumulation to clinical applications. Recent work has increasingly focused on multimodal approaches that combine molecular imaging with functional and structural assessments to identify early biomarkers and protective factors against cognitive decline. Her research shows particular strength in translating findings from animal models to human applications through sophisticated imaging methodologies. Dr. Maass leads significant research initiatives including Project Z03 within the DFG-funded Collaborative Research Center CRC1436 "Neural Resources of Cognition" (2021-2024), which studies molecularly characterized aging cohorts including "SuperAgers," and Project B04 investigating hippocampal vascularization patterns. She serves as Principal Investigator in the DELCODE study and collaborates with the Prevent AD Cohort in Montreal. Her laboratory collaborates extensively with researchers across Germany and internationally, including Prof. Boecker's group at DZNE Bonn, Prof. Schott's group at DZNE Göttingen, Prof. Michael Heneka's group, and Prof. Sylvia Villeneuve's team in Montreal. The lab employs advanced methodologies including Vessel Distance Mapping (VDM) to assess vascularization as a continuous metric beyond binary classification, and develops innovative approaches to studying cognitive resilience through real-world navigation training using the "Explore"-app.

Agnes Flöelمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Sleep Physiology
• Brain Stimulation
• +۷ مورد دیگر

Prof Dr Agnes Flöel is a Professor at the University of Greifswald Medical School, where she leads research at the intersection of cognitive neuroscience, sleep physiology, and brain stimulation. Her work focuses on understanding neural mechanisms underlying memory formation and cognitive decline in aging, with particular emphasis on sleep-related processes and non-invasive brain stimulation techniques. Her research interests center on sleep physiology , cognitive neuroscience , and neurostimulation . Dr. Flöel investigates how slow oscillations, spindles, and delta waves interact during sleep to support memory consolidation, particularly in older adults and those with cognitive impairment. Her work extends to developing interventions combining cognitive training with transcranial direct current stimulation (tDCS) to enhance cognitive function in aging and early Alzheimer's disease. She also contributes to methodological advancements in sleep staging through deep learning approaches and addresses technical challenges in neuroimaging. Dr. Flöel's publication record demonstrates consistent productivity with multiple high-impact papers annually, primarily focused on sleep neuroscience, brain stimulation, and cognitive aging. Her work shows strong collaborative patterns with researchers across Germany, particularly within the SFB 1315 research consortium. Recent publications (2022-2024) increasingly incorporate computational approaches, deep learning, and multimodal neuroimaging to address fundamental questions about neural plasticity and memory. Her research has been supported through the Collaborative Research Center 1315 (SFB 1315) funded by the German Research Foundation, focusing on neuronal circuits in aging. Dr. Flöel serves as principal investigator for multiple clinical trials examining brain stimulation approaches for cognitive enhancement in older adults and those with mild cognitive impairment. Dr. Flöel leads a research group investigating sleep-brain interactions in aging, collaborating closely with computational neuroscientists, neurologists, and psychologists. Her team utilizes multimodal approaches including EEG, MRI, and behavioral assessments to understand neural mechanisms of cognitive decline and potential interventions.

Giovanni Petriمشاهده پروفایل

استاد

• Topology and Predictability of Complex Systems
• Computational Neuroscience
• Higher-order Networks
• +۷ مورد دیگر

Giovanni Petri is a Professor in the Network Science Institute at Northeastern University London, with additional affiliations as Principal Researcher at CENTAI and Guest Scholar at Networks Units IMT Lucca. His research spans topological analysis of complex systems, neuroimaging data, and AI architectures, with applications to cognitive neuroscience and socio-technical systems. His educational background includes a PhD in Complex Networks from Imperial College London (2012), an MSc in Theoretical Physics from the University of Pisa (2008), and a BSc in Physics from the University of Pisa (2005). Professor Petri's research focuses on the theoretical and empirical analysis of complex systems, with emphasis on structural and temporal properties of networks with higher-order interactions. His work bridges statistical physics, algebraic topology, and data analysis to investigate whole-brain activation patterns, cognitive representations in neural architectures, social contagion dynamics, and team interactions. His lab employs topological data analysis to uncover multi-scale patterns in neuroscience data that traditional methods might overlook. His recent publications reveal a strong emphasis on higher-order network structures, with significant contributions to understanding how topological features influence brain function, information processing in neural networks, and collective behavior in social systems. His work demonstrates how higher-order interactions fundamentally change our understanding of complex systems dynamics. European Research Council Consolidator Grant (RUNES: Reconstruction and unification of neural and ecological systems) Professor Petri advises numerous PhD students and postdoctoral researchers across multiple institutions. His lab (NPLab) investigates the role of topology and geometry in collective dynamics of complex systems, with funding from prestigious sources including the ERC. His research spans fundamental network theory, network science of AI, and applications to neuroscience and social systems. The NPLab, which Professor Petri leads, focuses on topological neuroscience, cognitive neuroscience, higher-order networks, and Project CETI (Cetacean Translation Initiative). The lab's work on sperm whale communication through Project CETI has gained significant attention, analyzing over 9,000 recordings to identify 156 distinct codas and develop a sperm whale phonetic language using AI techniques.

• Neuroscience
• Autism Spectrum Disorder
• Synesthesia
• +۴ مورد دیگر

Janina Neufeld is a Principal Researcher and Docent at Karolinska Institutet, where she is affiliated with the Department of Women's and Children's Health and the Center of Neurodevelopmental Disorders (KIND). She leads her own research team focusing on synesthesia, autism, and perception, and is also part of Sven Bölte's research group on autism, ADHD, and other neurodevelopmental conditions. Dr. Neufeld earned her PhD in Human Neuroscience from Hannover Medical School (2012), followed by postdoctoral training at the Center of Neurodevelopmental Disorders at Karolinska Institutet (2014-2018) and the University of Reading (2012-2014). Her research focuses on neural correlates and behavioral markers of Autism Spectrum Condition (ASC) and ASC-related symptoms, with particular interest in biomarkers of symptom severity, social cognition deficits, altered reward functioning, and sensory processing in ASC. Since 2019, she has led a project investigating the link between ASC and synesthesia using twin studies. As a Pro Futura Scientia fellow, she is also studying associations between synesthesia and various mental health conditions including obsessive-compulsive disorder. Her methodological expertise includes Magnetic Resonance Imaging, Eye-Tracking, Electromyography, and Psychophysics. Her research frequently employs twin study designs to disentangle genetic and environmental influences on neurodevelopmental conditions. Analysis of her recent publications reveals strong emphasis on co-twin control methodologies to address familial confounding, with research spanning brain connectivity in autism, sensory processing differences, and the relationship between synesthesia and neurodevelopmental conditions. Principal Researcher, Department of Women's and Children's Health, Karolinska Institutet (2022-present) Docent, Karolinska Institutet (2024) Treasurer for Junior Faculty, Karolinska Institutet (2022-present) Research team leader, Team Neufeld, Karolinska Institutet (2022-present) Member, Junior Faculty Steering Group, Karolinska Institutet (2022-present) Guest editor, Scientific Reports (2022) Dr. Neufeld has secured multiple competitive grants from the Swedish Research Council and the Bank of Sweden Tercentenary Foundation. Her work has significant clinical implications for identifying new biomarkers and interventions for autism while advancing fundamental understanding of human perception and neurodevelopment. She mentors PhD students Yating Huang and Hjalmar Nobel Norrman in her research team.