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检索条件"机构=Center for Translational Research in Neuroimaging and Data Science"
655 条 记 录,以下是51-60 订阅
排序:
Unraveling the Neural Landscape of Mental Disorders using Double Functional Independent Primitives (dFIPs)
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Biological psychiatry. Cognitive neuroscience and neuroimaging 2025年
作者: Najme Soleimani Armin Iraji Godfrey Pearlson Adrian Preda Vince D Calhoun Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta Georgia USA. Electronic address: nsoleimani1@gsu.edu. Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology and Emory University Atlanta Georgia USA. Departments of Psychiatry and Neuroscience Yale University School of Medicine New Haven Connecticut USA. Department of Psychiatry and Human Behavior University of California Irvine California USA.
BACKGROUND:Mental illnesses extract personal and societal costs, leading to significant challenges in cognitive function, emotional regulation, and social behavior. These disorders are thought to result from disruptio... 详细信息
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Transcriptome analysis of archived tumors by Visium, GeoMx DSP, and Chromium reveals patient heterogeneity
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Nature Communications 2025年 第1期16卷 1-18页
作者: Dong, Yixing Saglietti, Chiara Bayard, Quentin Espin Perez, Almudena Carpentier, Sabrina Buszta, Daria Tissot, Stephanie Dubois, Rémy Kamburov, Atanas Kang, Senbai Haignere, Carla Sarkis, Rita Andre, Sylvie Alexandre Gaveta, Marina Lopez Lastra, Silvia Piazzon, Nathalie Santos, Rita von Loga, Katharina Hoffmann, Caroline Coukos, George Peters, Solange Soumelis, Vassili Durand, Eric Yves de Leval, Laurence Gottardo, Raphael Homicsko, Krisztian Madissoon, Elo Biomedical Data Science Center Lausanne University Hospital University of Lausanne Lausanne Switzerland Institute of Pathology Department of Laboratory Medicine and Pathology Lausanne University Hospital and University of Lausanne Lausanne Switzerland Owkin Paris France Department of Oncology Lausanne University Hospital Swiss Cancer Center Leman Lausanne Switzerland Ludwig Insitute for Cancer Research Lausanne Switzerland Agora Translational Research Center Lausanne Switzerland Swiss Institute of Bioinformatics Lausanne Switzerland School of Life Sciences Ecole Polytechnique Fédérale de Lausanne Switzerland
Recent advancements in probe-based, full-transcriptome technologies for FFPE tissues, such as Visium CytAssist, Chromium Flex, and GeoMx DSP, enable analysis of archival samples, facilitating the generation of data fr...
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Functionally-Adaptive Gray and White Matter Structural Basis Sets via Dynamic Fusion of Multimodal MRI data  46
Functionally-Adaptive Gray and White Matter Structural Basis...
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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Duda, Marlena Calhoun, Vince D. Georgia State University Georgia Tech Emory University Center for Translational Research in Neuroimaging and Data Science AtlantaGA United States
The exact nature of the coupling of brain structure and function has long been an open area of research. Often, this question is approached by first defining a single structural basis set, and then estimating function... 详细信息
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Evaluating Augmentation Approaches for Deep Learning-based Major Depressive Disorder Diagnosis with Raw Electroencephalogram data  46
Evaluating Augmentation Approaches for Deep Learning-based M...
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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Ellis, Charles A. Miller, Robyn L. Calhoun, Vince D. Georgia State University Emory University Georgia Institute of Technology Center for Translational Research in Neuroimaging and Data Science Atlanta United States
While deep learning methods are increasingly applied in research contexts for neuropsychiatric disorder diagnosis, small dataset size limits their potential for clinical translation. data augmentation (DA) could addre... 详细信息
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ENIGMA-Meditation: Worldwide Consortium for Neuroscientific Investigations of Meditation Practices
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Biological Psychiatry: Cognitive Neuroscience and neuroimaging 2025年 第4期10卷 425-436页
作者: Ganesan, Saampras Barrios, Fernando A. Batta, Ishaan Bauer, Clemens C.C. Braver, Todd S. Brewer, Judson A. Brown, Kirk Warren Cahn, Rael Cain, Joshua A. Calhoun, Vince D. Cao, Lei Chetelat, Gaël Ching, Christopher R.K. Creswell, J. David Dagnino, Paulina Clara Davanger, Svend Davidson, Richard J. Deco, Gustavo Dutcher, Janine M. Escrichs, Anira Eyler, Lisa T. Fani, Negar Farb, Norman A.S. Fialoke, Suruchi Fresco, David M. Garg, Rahul Garland, Eric L. Goldin, Philippe Hafeman, Danella M. Jahanshad, Neda Kang, Yoona Khalsa, Sahib S. Kirlic, Namik Lazar, Sara W. Lutz, Antoine McDermott, Timothy J. Pagnoni, Giuseppe Piguet, Camille Prakash, Ruchika S. Rahrig, Hadley Reggente, Nicco Saccaro, Luigi F. Sacchet, Matthew D. Siegle, Greg J. Tang, Yi-Yuan Thomopoulos, Sophia I. Thompson, Paul M. Torske, Alyssa Treves, Isaac N. Tripathi, Vaibhav Tsuchiyagaito, Aki Turner, Matthew D. Vago, David R. Valk, Sofie Zeidan, Fadel Zalesky, Andrew Turner, Jessica A. King, Anthony P. Department of Biomedical Engineering The University of Melbourne Carlton VIC Australia Contemplative Studies Centre Melbourne School of Psychological Sciences The University of Melbourne Melbourne VIC Australia Systems Lab of Neuroscience Neuropsychiatry and Neuroengineering The University of Melbourne Parkville VIC Australia Universidad Nacional Autónoma de México Instituto de Neurobiolgía México Querétaro Mexico Center for Translational Research in Neuroimaging and Data Science: Georgia State University Georgia Institute of Technology and Emory University Atlanta GA United States Department of Psychology Northeastern University Boston Massachusetts Brain and Cognitive Science McGovern Institute for Brain Research Massachusetts Institute of Technology Cambridge Massachusetts Department of Psychological and Brain Sciences Washington University St. Louis Missouri Department of Behavioral and Social Sciences Brown University School of Public Health Providence Rhode Island Department of Psychology Carnegie Mellon University Pittsburgh PA United States University of Southern California Department of Psychiatry & Behavioral Sciences Los Angeles California University of Southern California Center for Mindfulness Science Los Angeles California Institute for Advanced Consciousness Studies Santa Monica California Department of Psychiatry and Behavioral Health The Ohio State University College of Medicine Columbus OH United States Normandie University Université de Caen Normandie INSERM U1237 Neuropresage Team Cyceron Caen France Imaging Genetics Center Mark and Mary Stevens Neuroimaging and Informatics Institute Keck School of Medicine of the University of Southern California Los Angeles California Desert-Pacific Mental Illness Research Education and Clinical Center VA San Diego Healthcare System San Diego California Computational Neuroscience Group Center for Brain and Cognition Department of Information and Communication Technologies Universitat Pompeu Fa
Meditation is a family of ancient and contemporary contemplative mind-body practices that can modulate psychological processes, awareness, and mental states. Over the last 40 years, clinical science has manualized med... 详细信息
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A Novel Activation Maximization-based Approach for Insight into Electrophysiology Classifiers
A Novel Activation Maximization-based Approach for Insight i...
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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
作者: Ellis, Charles A. Sendi, Mohammad S.E. Miller, Robyn Calhoun, Vince Georgia State University Georgia Institute of Technology and Emory University Tri-institutional Center for Translational Research in Neuroimaging and Data Science Atlanta United States
Spectral analysis remains a hallmark approach for gaining insight into electrophysiology modalities like electroencephalography (EEG). As the field of deep learning has progressed, more studies have begun to train dee... 详细信息
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Identifying Reproducibly Important EEG Markers of Schizophrenia with an Explainable Multi-Model Deep Learning Approach  46
Identifying Reproducibly Important EEG Markers of Schizophre...
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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024
作者: Sancho, Martina Lapera Ellis, Charles A. Miller, Robyn L. Calhoun, Vince D. Georgia State University Georgia Institute of Technology Emory University Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Atlanta United States
The diagnosis of schizophrenia (SZ) can be challenging due to its diverse symptom presentation. As such, many studies have sought to identify diagnostic biomarkers of SZ using explainable machine learning methods. How... 详细信息
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Improving Multichannel Raw Electroencephalography-based Diagnosis of Major Depressive Disorder via Transfer Learning with Single Channel Sleep Stage data
Improving Multichannel Raw Electroencephalography-based Diag...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Ellis, Charles A. Sattiraju, Abhinav Miller, Robyn L. Calhoun, Vince D. Georgia State University Georgia Institute of Technology Emory University Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Atlanta United States
As the field of deep learning has grown in recent years, its application to the domain of raw resting-state electroencephalography (EEG) has also increased. Relative to traditional machine learning methods or deep lea... 详细信息
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Improving Explainability for Single-Channel EEG Deep Learning Classifiers via Interpretable Filters and Activation Analysis
Improving Explainability for Single-Channel EEG Deep Learnin...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Ellis, Charles A. Miller, Robyn L. Calhoun, Vince D. Georgia State University Georgia Institute of Technology Emory University Tri-Institutional Center for Translational Research in Neuroimaging and Data Science Atlanta United States
Deep learning methods are increasingly being applied to raw electroencephalography (EEG) data. Relative to traditional machine learning methods, deep learning methods can increase model performance through automated f... 详细信息
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MPIDS: Multi-Group Perturbation Based Individualized Differential Structural Brain Network
MPIDS: Multi-Group Perturbation Based Individualized Differe...
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IEEE International Symposium on Biomedical Imaging
作者: Zixin Huang Yijie Zhang Tülay Adali Rongtao Jiang Daoqiang Zhang Vince D. Calhoun Shile Qi Department of Artificial Intelligence Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Brain-Machine Intelligence Technology Ministry of Education Nanjing University of Aeronautics and Astronautics Nanjing China Department of CSEE University of Maryland Baltimore County Baltimore MD USA Department of Radiology and Biomedical Imaging Yale University New Haven CT USA Tri-institntional Center for Translational Research in Neuregionmaging and Data Science (TReNDS) Georgia State University Georgia Institute of Technology Emory University Atlanta GA USA
MRI-based brain structural network plays a key role in understanding the organization architecture of the human brain. However, current structural brain networks are inferred only at the group-level, missing individua... 详细信息
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