Concordia University

Vascular Imaging Lab

Dr. Gauthier’s lab specialises in quantitative imaging of the cerebral vasculature using MRI, and further development of these techniques. Mapping vascular processes such as cerebral blood flow and oxygenation provides quantitative insights into brain function in health and disease. Quantitative MRI methods are used in the lab to investigate links between brain ageing and cognition, how cardiovascular disease affects the brain, and how the brain adapts with behavioural interventions. The long-term goal of work conducted in the lab is to improve our understanding of vascular changes across the lifespan and improve brain health in later life and disease.


Claudine Gauthier
Claudine Gauthier

Assistant Professor, Physics
Co-op Director, Physics


Dr. Gauthier completed her PhD investigating cerebral physiology in healthy ageing using quantitative fMRI under the supervision of Richard Hoge at the University of Montreal. After a postdoctoral position at the Max-Planck Institute in Leipzig, Claudine joined Concordia University as an Assistant Professor.

Research Themes
  • Cerebral metabolic and vascular imaging 
  • The impact of ageing and lifestyle on the brain 
  • Functional MRI BOLD signal modelling 
  • Quantitative imaging of plasticity
Selected Publications

Krieger S.N, Ivanov D, Huber L., Roggenhofer E., Sehm B, Turner R., Egan G.F. , Gauthier C.J. (2014) Using carbogen for calibrated fMRI at 7 Tesla: comparison of direct and modelled estimation of the M parameter, NeuroImage, 84:605-14.  
Gauthier C.J., Madjar C., Desjardins-Crépeau L., Bellec P., Bherer L., Hoge R.D. (2013) Age dependence of hemodynamic response characteristics in human functional magnetic resonance imaging, Neurobiology of Aging, 34(5): 1469-85. 
Gauthier C.J., Desjardins-Crépeau L., Madjar C., Bherer L., Hoge R.D. (2012) Absolute quantification of resting oxygen metabolism and metabolic reactivity during functional activation using QUO2 MRI, NeuroImage, 63(3): 13531363 
Gauthier C.J., Hoge R.D. (2012) Magnetic resonance imaging of resting OEF and CMRO2 using a generalized calibration model for hypercapnia and hyperoxia, NeuroImage, 60(2): 12121225 
Gauthier C.J., Hoge R.D. (2012) A generalized procedure for calibrated MRI incorporating hyperoxia and hypercapnia. Human Brain Mapping, 34(5):1053-69. 
Gauthier C.J., Madjar C., Tancredi F.B., Stefanovic B., Hoge R.D. (2011) Elimination of visually evoked BOLD responses during carbogen inhalation: Implications for calibrated MRI. NeuroImage 54(2):1011-11.

Current Projects
  • Quantitative MRI of cerebrovascular and microstructural health in cardiovascular diseases
  • Investigating the effects of aerobic exercise and cognitive interventions on brain function and cognition in older adults 
  • Developing quantitative susceptibility mapping methods to estimate oxygen extraction fraction in the venous vasculature 
  • Investigating motor plasticity in the healthy brain using quantitative fMRI 


Current Members

Julia Huck
Julia Huck

PhD Student


Julia completed her Bachelor’s and Master’s degrees in medical engineering, with a focus on imaging techniques. During her undergraduate studies, she had the opportunity to work part-time as a medical technical assistant at a radiological institute in Germany to deepen her knowledge and understanding of medical imaging. Her master’s thesis was concentrated on medical image registration, and after finishing her degree, Julia completed a six-month internship at Siemens Healthcare at Princeton in New Jersey, USA.

In 2016, Julia began her doctoral degree in physics under the supervision of Drs Claudine Gauthier (Concordia University, Montreal Canada) and Pierre-Louis Bazin (Max Planck Institute, Leipzig Germany). Her doctoral work focuses on the use of 7T quantitative susceptibility mapping (QSM) images to extract the venous vasculature and estimate the oxygen extraction fraction (OEF). It is anticipated that the results of this study will allow for the investigation of brain plasticity and changes in OEF in neurodegenerative diseases like Alzheimer’s disease and dementia.

Overall, this work is a combination of physics and neurosciences that will eventually allow for an in-depth investigation of plastic changes in the brain, and the usage OEF in QSM as a biomarker for aging-related diseases.


Brittany Intzandt
Brittany Intzandt

PhD Student


Research Interests

Brittany completed her Master’s in Kinesiology looking at the effects of resistance training on reducing falls in Parkinson’s disease. Her interest in how exercise can improve other aspects of human physiology extended to cognitive functioning and what is occurring in the brain for these enhancements to occur. In 2016, Brittany began her doctorate degree in interdisciplinary studies under the supervision of Dr. Louis Bherer and Dr. Claudine Gauthier at University of Concordia. Her doctoral work will investigate the effects of aerobic exercise on vascular brain health and cognition in healthy older adults as well as individuals with cognitive impairment. She is also involved in other projects that are underway at PERFORM Centre (Concordia) and the Montreal Neurological Institute. 


Ziebart C, Intzandt B, Knight E. (2018) Aerobic adaptation from resistance training in adults with a chronic condition. Health and fitness journal of Canada. In Press

Silveira CRA, Roy EA, Intzandt B & Almeida QJ. (2018) Aerobic exercise is more effective than goal-based exercise for the treatment of cognition in Parkinson’s disease. Brain and Cognition; 122:1-8. Doi:10.1016/j.bandc.2018.01.002

Beck EN, Intzandt B & Almeida QJ. (2017) Can dual task walking improve in Parkinson’s disease after external focus of attention exercise? A single blind randomized controlled trial. Neurorehabilitation and Neural Repair. Doi:10.1177/1545968317746782

Ehgoetz-Martens K, Silveira C.R.A., Intzandt B & Almeida Q.J. (2017) Overload from anxiety? A non-motor cause for motor symptoms in Parkinson's disease. Journal of Neuropsychiatry and Clinical Neurosciences doi: 10.1176/appi.neuropsych.16110298

Regan K, Intzandt B, Swatridge K, Meyers A, Roy E & Middleton L. (2016) A Pilot Study of Changes in Physical Activity and Function with Transition to Retirement Living. Canadian Journal on Aging. 35(4): 526-32 doi: 10.1017/S0714980816000593

Intzandt B, Black SE, Lanctôt KL, Herrmann N, Oh P & Middleton LE. (2014) Is Cardiac Rehabilitation Exercise a Feasible Program for People with Mild Cognitive Impairment? Can Geriatr J. 18(2):65-72. doi:10.5770/cgi.18.166


Fatemeh Razavipour
Fatemeh Razavipour

PhD Student
Multimodal Functional Imaging Laboratory
SP365.23, Physics department, 7141 Rue Sherbrook St. W, Montreal, Quebec H4B 1R6
(514) 553–5916

Fatemeh Razavipour received her bachelor degree in Electrical and Computer Engineering and Master degree in Artificial Intelligence in Shiraz University in Iran in 2013. She is now pursuing a PhD of Physics in Concordia University supervised by Dr. Christophe Grova and Dr. Claudine Gauthier.

Research Interests

Fatemah’s general research interests are Neuroimaging, Statistical Signal Processing, Machine learning and Pattern recognition. Her PhD research focused on calibrated fMRI an investigating the brain’s metabolism and connectivity especially in epilepsy.


Fatemeh Razavipour, Reza Sameni, "A General Framework for Extracting Fetal MEG and Audio-Evoked Responses”, Journal of Neuroscience Methods, Volume 212, Issue 2, 30 January 2013, Pages 283-296, ISSN 0165-0270.

Somayeh Afrasiabi,Reza Boostani,Farid Zand, Fatemeh Razavipour, "Introducing a Novel Index for Measuring Depth of Anesthesia based on Visual Evoked Potential (VEP) features", 2012, Iranian Journal of Science and Technology. Transactions of Electrical Engineering36(E2), 131.

Fatemeh Razavipour , Reza Boostani, Samaneh Kouchaki "Comparative Application Of Non-negative Decomposition Methods In Classifying Fatigue And Non-Fatigue States", 2013, Arabian Journal for Science and Engineering, no:AJSE-D-12-00884R4.

Fatemeh Razavipour, Reza Sameni "A Study of Event Related Potential Frequency Coherency using Multichannel Electroencephalogram Subspace Analysis”, 2015, Journal of neuroscience methods 249: 22-28.

Fatemeh Razavipour, Mohammad Hosein Nikoo, "Numerical Estimation of Ejection Fraction from 12-lead ECG”, 2015, J Bioengineer & Biomedical Sci 6:172.

Dalia Sabra
Dalia Sabra


MSc Student

My current work as a research assistant in imaging involves understanding the link between cerebrovascular health and exercise in healthy older adults by investigating the cognitive and vascular changes that occur with different types of exercise interventions.

My Master's work in brain imaging focuses on investigating specific physiological markers of aging on the brain such as brain atrophy, vascular lesions and aortic measures, using calibrated fmri. 



Christine Tardif (McGill University)

Audrey Fan (Stanford University)

Christophe Grova (Concordia University)

Louis Bherer (Université de Montrea)

Pierre-Louis Bazin (Nederlands Herseninstituut)

Chris Steele (McGill University, Douglas Institute)

Lab Alumni

Catherine Foster (PDF)
metabolic and cerebrovascular consequences of cardiovascular disease

Avner Fitterman (MSc)
Learning-induced plasticity in vascular properties in the human brain


The lab uses a 3T MRI system to study brain structure and function. Several of our most used methods are;

Arterial Spin Labelling (ASL): ASL enables direct quantification of cerebral blood flow without the need for tracers and is extremely valuable in studies where the brain’s vasculature may be compromised.

Blood-oxygen-level dependent (BOLD): BOLD signal imaging is based on changes in the concentration of oxygenated haemoglobin in the brain. This method is used in calibrated fMRI along with blood flow measures to quantify additional processes such as cerebral oxygen metabolism.

Respiratory Gas System

Our lab also houses a custom-built system to deliver altered concentrations of respiratory gases during MRI. By increasing or decreasing the level of inspired oxygen and carbon dioxide we can measure cerebral vascular function throughout the brain. 

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