Rosalyn Moran, PhD
Assistant Professor, Virginia Tech Carilion Research Institute
Assistant Professor, Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Tech
Assistant Professor of Psychiatry and Behavioral Medicine, Virginia Tech Carilion School of Medicine
The research in the Moran Laboratory focuses on parallel aims in neuroscience: to develop new neuroimaging methodologies and to investigate the neurobiology of aging.
Within the context of dynamic causal modeling—a statistical inference framework for interrogating non-invasive (functional magnetic resonance imaging, electroencephalography, and magnetoencephalography) and invasive (local field potential) neuroimages—the researchers are developing a mathematical microscope to probe fine-grained synaptic physiological details from these macroscopic recording modalities. In the development of this technology, Moran and her team rely on pharmacological, in silico, and small-animal validations and have successful initial results in humans. The approach holds promise for better understanding the active neurochemistry of brain networks that support cognition and behavior in both healthy and pathological conditions.
The scientists are applying these techniques in combination with theoretical neurobiological constructs to investigate connectivity and synaptic physiological phenotypes of age. Specifically Moran and her team are investigating whether cortical networks accrue properties such as redundancy, hyperactivation, or hypoactivation over the adult lifespan and whether particular neurotransmitters underpin such systematic changes. By investigating the neural activity supporting memory, executive function, and sensory-motor learning, the researchers are targeting their investigations to circuits that develop pathological attributes in Alzheimer’s and Parkinson’s disease.
The Moran Laboratory research goals are to identify potential fault lines in individual brains that may engender susceptibility to neurodegenerative disease and to produce translational imaging-based methodologies for better therapeutic interventions.
For a more complete listing of Rosalyn Moran's publications, visit PubMed.
Education and Training
- University College Dublin: BS, Elecronic Engineering
- University College Dublin: PhD, Electronic Engineering
- University College London: Postdoctoral Fellowship, Neuroimaging
- Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom
Senior Research Associate
Awards and Honors
- Honorary Fellow, Translational Neuromodelling Unit, Zurich University and Eidgenössische Technische Hochschule (ETH), Zurich, Switzerland, beginning 2013
- Adjunct Faculty Appointment, Lieber Institute for Brain Development & Maltz Research Laboratories, Johns Hopkins Medical Campus, beginning 2013
- Patent Holder, Automated Voice Analysis System for Pathology Detection, US Patent Office
- Campus Company Development Award, Program Winner, NOVA Technology Transfer Centre, University College Dublin
- Moran R, Stephan KE, Botvinick M, Breakspear M, Carter CS, Kalivas PW, Montague PR, Paulus MP Petzschner F. (2016). Candidate Examples for a Computational Approach to Address Practical Problems in Psychiatry. In: Strungmann Forum Reports. The MIT Press.
- Liu N, Hadj-Bouziane F, Moran R, Ungerleider LG, Ishai A. (2016). Facial Expressions Evoke Differential Neural Coupling in Macaques. Cerebral Cortex.
- Dowalti E, Adams SE, Stiles AB, Moran RJ. (2016). Aging into perceptual control: A Dynamic Causal Modeling for fMRI study of bistable perception. Frontiers in Human Neuroscience 10.
- Moran R. (2015). Brain Stimulation for Neurodegenerative Disease: A Computational Blueprint using Dynamic Causal Modeling. In: Computational Neurostimulation. Elsevier.
- Moran R. (2015). State Space Models and their Spectral Decomposition in Dynamic Causal Modelling. In: Advanced State Space Methods for Neural and Clinical Data.
- GIlbert J, Symmonds M, Hanna MG, Dolan RJ, Friston KJ, Moran RJ. (2015). Profiling neuronal ion channelopathies with non-invasive brain imaging and dynamic causal models: Case studies of single gene mutations. Neuroimage 124, 43-53.
- Moran R. (2015). Introduction. In: Validating Neuro-Computational Models of Neurological and Psychiatric Disorders. Springer.
- Moran R. (2015). Dynamic Causal Models for Human Electrophysiology: EEG, MEG and LFPs. In: Toga AW (Ed.), Brain Mapping: An Encyclopedic Reference. Academic Press.
- Moran. (2015). Dynamic causal Modeling with neural population models. In: Encyclopedia of Computational Neuroscience. New York: Springer.
- Legon W, Punzell S, Dowlatti E, Adams S, Stiles A, Moran RJ. (2015). Altered prefrontal excitation/inhibition balance and prefrontal output: markers of aging in human memory networks. Cerebral Cortex.