T. Dorina Papageorgiou, Ph.D., M.H.Sc.
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T. Dorina Papageorgiou, Ph.D., M.H.Sc.
Assistant Professor
Positions
- Assistant Professor
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Psychiatry and Behavioral Sciences
Baylor College of Medicine
- Assistant Professor
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Physical Medicine and Rehabilitation
Baylor College of Medicine
- Assistant Professor
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Graduate School of Biomedical Sciences
Quantitative and Computational Biosciences
Baylor College of Medicine
- Assistant Professor
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Translational Biology and Molecular Medicine
Baylor College of Medicine
- Assistant Professor
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Neuroscience
Baylor College of Medicine
Houston, Texas
https://www.bcm.edu/departments/neuroscience/faculty-staff/joint-neuroscience-faculty
- Assistant Professor
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Graduate School of Biomedical Sciences
Development, Models, Disease, Therapeutics
Baylor College of Medicine
Houston, Texas
https://www.bcm.edu/education/graduate-school-of-biomedical-sciences/programs/development-disease-models-therapeutics-graduate-program/research/faculty-research-by-disease/diseases-of-the-sensory-systems-blindness-vision-disorders-deafness-pain
- Principal Investigator
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Investigational Targeted Brain Neurotherapeutics Laboratory
Baylor College of Medicine
About the Lab - see also https://www.bcm.edu/research/labs-and-centers/faculty-labs/t-dorina-papageorgiou-lab: The T. Dorina Papageorgiou - Investigational Targeted Brain Neurotherapeutics Lab has developed a novel, targeted and individualized MRI-compatible brain computer interface (BCI) based on associative learning principles that can induce neuromodulation in patients with neurological sequelae following stroke (commonly a result of a posterior cerebral artery infarct, or a middle cerebral artery infarct), traumatic brain injury, or tumor resection. We call our MRI-BCI, individualized real-time functional MRI neurofeedback (iRTfMRI nFb), which is based on promoting the reorganization of networks by bypassing lesioned pathways and capitalizing on redundant, intact but functionally associated pathways to the injured ones. This is achieved by modulating the magnitude and spatial extent of Blood-Oxygen-Level-Dependent (BOLD) signal with the goal to recover the brain function, as a result of a neurological insult. We apply this investigational treatment to patients with impairments of the following cortical systems: 1. Retrochiasmal lesions downstream of the optic radiation, which result in cortical blindness. 2. Supra- or infra-nuclear injury to the hypoglossal or glossopharyngeal nucleus, which result in upper motor neuron disease (lesions upstream of the medulla oblongata that can impact somatomotor, and somatosensory areas) or lower motor neuron disease (lesions downstream of the medulla oblongata). 3. Pain matrix network areas, which result in impaired somatosensory and somatomotor pain matrix network activity as a result of CNS- or PNS-associated pain. Reorganization is possible by neuromodulating the spatial extent and intensity of the Blood-Oxygen-Level-Dependent (BOLD) signal to a patient's intact cortical area, which takes over in performing the function, as it has been impaired in the primary cortical areas following neurological injury. This investigational treatment engages associative learning mechanisms that modulate the activity of intact cortical areas with the goal to improve performance in patient populations with neurological sequelae as a result of stroke or, traumatic brain injury or, tumor resection. Papageorgiou Lab Focus Areas: Our goal is to understand how the brain learns specifically under induced learning conditions. The overall aims of our lab are to study the mechanisms of adaptive plasticity/reorganization of cortical functions using neuroimaging modalities and techniques: 1. To examine the learning mechanisms of functional reorganization, such as somatosensory, motor, visual networks in health (adaptive plasticity, the goal of which is to increase performance) and disease (maladaptive plasticity the goal of which is to induce recovery of the lesioned brain function by bypassing injured pathways and capitalizing on intact but functionally associated to those that have sustained injury). 2. To induce recovery of function via reorganization of pathways using MRI-brain-computer-interface methods, such as our individualized real-time fMRI neurofeedback (iRTfMRI nFb). 3. To combine complementary methods that offer increased temporal resolution, such as MR-compatible electroencephalogram (EEG). 4. To use advanced computational methods, such as machine learning (linear and non-linear support vector machines, multilayer perceptrons), deep learning (3d temporal convolutional networks) and dynamic causal modeling (Hidden Markov Models) to decipher the spatiotemporal relationship induced by iRTfMRI nFb and thus, characterize the type of associative learning in a healthy versus a brain characterized by lesioned tissue.
- Assistant Professor
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Electrical and Computer Engineering
Neuroengineering and Applied Physics
Rice University
https://neuroengineering.rice.edu/faculty
- Assistant Professor
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Applied Physics; Smalley-Curl Institute
Neuroengineering and biotechnology
Rice University
https://appliedphysics.rice.edu/neuroengineering-and-biotechnology
Addresses
- Center for Advanced MR Imaging (Lab)
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Baylor College of Medicine
One Baylor Plaza, Suite T115H
Houston, TX 77030
United States
- Department of Neurology (Office)
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Baylor College of Medicine Medical Center
McNair Campus
Houston, TX 77030
United States
Education
- PhD from University of Texas, MD Anderson Cancer Center
- Houston, Texas United States
- MHSc from Johns Hopkins University, Bloomberg School of Public Health
- Baltimore, Maryland United States
- BA from University of Georgia
- Athens, Georgia United States
- Internship at University of Maryland
- Baltimore, Maryland United States
- Attention Deficit Hyperactivity Disorder
- Internship at Baylor College of Medicine
- Houston, Texas United States
- Neuropsychology of Neurodegenerative Diseases
- Postdoctoral Fellowship at University of Texas MD Anderson Cancer Center
- Houston, Texas United States
- Functional Imaging of Pain and Opioid Administration
- Post-Doctoral Fellowship at Baylor College of Medicine
- Houston, Texas United States
- Real-time Functional MRI Neurofeedback of Speech
- Post-Doctoral Fellowship at Baylor College of Medicine
- Houston, Texas United States
- Real-time Functional MRI Neurofeedback and Rehabilitation of Cortical Blindness
Professional Interests
- Human Brain Neuroimaging
- Real-time Functional MRI Neurofeedback
- Plasticity and Neuro-rehabilitation of Cortical Blindness
- Neuro-rehabilitation of Speech Impairment
- Neuro-rehabilitation of Chronic Pain
Professional Statement
The overall aims of the Papageorgiou Investigational Targeted Brain Neurotherapeutics (ITBN) Laboratory are to study the mechanisms of adaptive plasticity/reorganization of the cortical functions using various neuroimaging modalities and techniques: (i) to understand the mechanisms of induced plasticity of brain functions in health (adaptive plasticity); (ii) to induce neuro-rehabilitation when maladaptive plasticity occurs in: somatosensory disorders, cortical blindness, neuropathic pain, and affective disorders; (ii) to induce CNS and PNS recovery of function using advanced neuroimaging methods, such as real-time fMRI neurofeedback (rt-fMRI nFb); as well as (iii) to combine complementary methods that increase temporal resolution, such as MR-compatible electroencephalogram.Dr. Papageorgiou has developed a targeted, individualized, fast and robust approach to neuromodulate activity in the brain with the goal to neuro-rehabilitate function and in turn to improve behavioral performance beyond standard behavioral approaches. This neuromodulatory approach, called real-time fMRI neurofeedback aims to bypass lesioned pathways by capitalizing on others that are intact and functionally associated with the lesioned area. This can be achieved because the human brain has functional redundancy.
The Papageorgiou/ITBN Lab focuses on the neuromodulation and in turn, restoration of the following cortical functions: (i) visual, following retrochiasmal (downstream of the optic radiation) lesions in visual pathways, which result in cortical blindness; (ii) speech planning and execution following CNS-supranuclear (to the brainstem) lesions in somatomotor, somatosensory areas versus PNS-infranuclear lower cranial nerve lesions; (iii) somatosensory and somatomotor functions as those relate to impaired chronic pain (pain matrix network), as a result of CNS- or, PNS-associated pain.
The current research goals and projects of the Papageorgiou/ITBN Lab are:
(i) To examine and understand the neural mechanisms of cortical reorganization in somatomotor, somatosensory, visual, and pain areas, with the goal to design treatments that will induce recovery of the impaired function.
(ii) To achieve long-term effects of individualized neurofeedback interventions at targeted cortical areas.
(iii) To compare functional changes (functional connectivity measures, rt-fMRI nFb training) with structural changes (diffusion tensor imaging, volumetric), as a function of learning (real-time fMRI neurofeedback longitudinal studies).
(iv) To optimize the rt-fMRI neurofeedback delivery using: (i) machine learning approaches, such as Bayesian-based, support vector machine algorithms; (ii) MRI-compatible EEG to improve temporal resolution.
(v) To develop a computational model through the acquisition of longitudinal data that will allow us to characterize what type of associative learning takes place in somatosensory, somatomotor, pain, and visual perception networks in healthy subjects as well as patients. The goal of this model is to understand the relationship between neuromodulation (magnitude and spatial extent) across brain areas and performance and to characterize the type of associative learning induced by various neurofeedback paradigms.
The Papageorgiou/ITBN Lab is founded and primarily supported by the McNair Medical Institute.
The Papageorgiou/ITBN Lab has available graduate student and postdoctoral positions.
Websites
Comprehensive list of publications and presentations
VIICTR Research Database
The brain is the most complex computational device we know, consisting of highly interacting and redundant networks of areas, supporting specific brain functions. The rules by which these areas organize themselves to perform specific computations have only now started to be uncovered. Advances in non-invasive neuroimaging technologies have revolutionized our understanding of the functional anatomy of cortical circuits in health and disease states, which is the focus of this book. The first section of this book focuses on methodological issues, such as combining functional MRI technology with other brain imaging modalities. The second section examines the application of brain neuroimaging to understand cognitive, visual, auditory, motor and decision-making networks, as well as neurological diseases. The use of non-invasive neuroimaging technologies will continue to stimulate an exponential growth in understanding basic brain processes, largely as a result of sustained advances in neuroimaging methods and applications.
About the Lab and Focus Areas
"The new study, published in the Journal of the American Medical Association (JAMA), used brain scans to look at three different aspects of brain function in 40 people who were clinically evaluated after reported exposure to the as-yet undetermined phenomenon. It looked at the overall volume of various regions in their brains; at the fine structure of brain tissue in the cerebellum, which regulates movement and controls balance; and at the connectivity of brain networks involved in hearing, vision, and high-level cognitive skills like memory." from Popular Science
Selected Publications
- Hotez PJ, Papageorgiou TD "A new European neglected diseases center for Greece?." PLoS Negl Trop Dis. 2013 Feb;7(2):e1757. Pubmed PMID: 23469292
- Papageorgiou TD, Curtis WA, McHenry M, LaConte SM "Neurofeedback of two motor functions using supervised learning-based real-time functional magnetic resonance imaging.." Conf Proc IEEE Eng Med Biol Soc. 2009;2009:5377-80. Pubmed PMID: 19964387
- Papanikolaou A, Keliris GA, Papageorgiou TD, Shao Y, Krapp E, Papageorgiou E, et al "Population receptive field analysis of the primary visual cortex complements perimetry in patients with homonymous visual field defects." Proc Natl Acad Sci U S A. 2014;(111):E1656-65. Pubmed PMID: 24706881
- Papageorgiou TD, Lisinski JM, McHenry MA, White JP, Laconte SM "Brain-computer interfaces increase whole-brain signal to noise." Proc Natl Acad Sci U S A. 2013 Aug 13;110(33):13630-5. Pubmed PMID: 23901117
- Papageorgiou TD, McHenry M, Lisinski JM, White JP, LaConte SM "Speech rate control using supervised learning-based real-time fMRI." Neuroimage. 2009;47:97.
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