Molly Bright

  • 447 Citations
20092021
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Personal profile

Research Interests

Our research uses advanced imaging techniques to assess the interaction of neural activity and vascular physiology in healthy brains and neurological disease. This involves the design and implementation of tools to stimulate or monitor human physiology during MRI scanning, and the development of specialized MRI acquisition methods to characterize neurovascular function. In combination with bespoke signal processing pipelines developed in our lab, we aim to produce robust quantitative imaging biomarkers for studying Multiple Sclerosis, fatigue, migraine, stroke, dementia, spinal cord injury, and the response of individual patients to personalised therapeutic interventions.

Research Interests

Following a B.S. in physics from MIT, Dr. Bright received her D.Phil. from the University of Oxford as part of a collaboration with the US National Institutes of Health, working with Peter Jezzard at the Oxford Centre for Functional MRI of the Brain (FMRIB) and Jeff Duyn in the Advanced MRI group of NINDS. She completed post-doctoral training at the Cardiff University Brain Research Imaging Centre (CUBRIC), incorporating new physiological stimuli, additional imaging modalities, and advanced fMRI processing techniques to her research. She then moved to Nottingham as an independent Anne McLaren Fellow, to develop ultra-high-field MR imaging methods for studying cerebral physiology in neurological diseases at the world-leading Sir Peter Mansfield Imaging Centre, the birthplace of MRI. In 2018, she returned home to America to lead the Applied Neuro-Vascular Imaging Lab (ANVIL) at Northwestern University.

The Applied Neuro-Vascular Imaging Lab focuses on advanced MRI techniques to assess the interaction of neural activity and vascular physiology in healthy brains and neurological disease or impairment. This involves the design and implementation of tools to stimulate or monitor human physiology during MRI scanning, and the development of specialized MRI acquisition methods to characterize neuro-vascular function. In combination with bespoke signal processing pipelines developed in our lab, we aim to produce robust quantitative imaging biomarkers for studying stroke, Cerebral Palsy, Spinal Cord Injury, Parkinson's Disease, and the response of individual patients to personalized therapeutic interventions. This work is in collaboration with Physical Therapy and Human Movement Sciences, Biomedical Engineering, Neurology, Radiology, the Center for Translational Imaging, the Northwestern University Interdepartmental Neuroscience program, and the Shirley Ryan Ability Lab.

Training Experience

2014Postdoctoral Fellowship, Cardiff University
2017Postdoctoral Fellowship, University of Nottingham, UK

Education/Academic qualification

Clinical Neurosciences, DPhil, University of Oxford

… → 2011

Physics, BS, Massachusetts Institute of Technology

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Magnetic Resonance Imaging Medicine & Life Sciences
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Blood Vessels Medicine & Life Sciences

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Grants 2019 2021

Neuronal Plasticity
Spinal Cord Injuries
Hand
Magnetic Resonance Imaging
Brain

Research Output 2009 2019

  • 447 Citations
  • 15 Article
  • 1 Editorial
1 Citation (Scopus)

Cerebral autoregulation evidenced by synchronized low frequency oscillations in blood pressure and resting-state fMRI

Whittaker, J. R., Driver, I. D., Venzi, M., Bright, M. & Murphy, K., Jan 1 2019, In : Frontiers in Neuroscience. 13, MAY, 433.

Research output: Contribution to journalArticle

Open Access
Homeostasis
Magnetic Resonance Imaging
Blood Pressure
Arterial Pressure
Brain Mapping
2 Citations (Scopus)

Changes in arterial cerebral blood volume during lower body negative pressure measured with MRI

Whittaker, J. R., Bright, M. G., Driver, I. D., Babic, A., Khot, S. & Murphy, K., Feb 15 2019, In : Neuroimage. 187, p. 166-175 10 p.

Research output: Contribution to journalArticle

Lower Body Negative Pressure
Magnetic Resonance Imaging
Homeostasis
Blood Vessels
Healthy Volunteers
1 Citation (Scopus)

Multiparametric measurement of cerebral physiology using calibrated fMRI

Bright, M., Croal, P. L., Blockley, N. P. & Bulte, D. P., Feb 15 2019, In : Neuroimage. 187, p. 128-144 17 p.

Research output: Contribution to journalArticle

Magnetic Resonance Imaging
Noise
Oxygen
Datasets
2 Citations (Scopus)

Ultra-high-field arterial spin labelling MRI for non-contrast assessment of cortical lesion perfusion in multiple sclerosis

Dury, R. J., Falah, Y., Gowland, P. A., Evangelou, N., Bright, M. & Francis, S. T., Apr 1 2019, In : European Radiology. 29, 4, p. 2027-2033 7 p.

Research output: Contribution to journalArticle

Multiple Sclerosis
Perfusion
Contrast Media
Hemodynamics
Pathology
2 Citations (Scopus)

Cleaning up the fMRI time series: Mitigating noise with advanced acquisition and correction strategies

Bright, M. G. & Murphy, K., Jul 1 2017, In : Neuroimage. 154, p. 1-3 3 p.

Research output: Contribution to journalEditorial

Noise
Magnetic Resonance Imaging