Mahdi Alizedah, PhD
Senior Research Scientist
Senior Research Scientist
Education
PhD - Temple University, Bioengineering, Philadelphia, PA
Publications
- Use of mean apparent propagator (MAP) MRI in patients with acute ischemic stroke: A comparative study with DTI and NODDI
- Periaqueductal gray connectivity in spinal cord injury-induced neuropathic pain
- Quantifying blood-brain barrier permeability in patients with ischemic stroke using non-contrast MRI
- Stereotactic Electroencephalogram Recordings in Temporal Lobectomy Patients Demonstrates the Predictive Value of Interictal Cross-Frequency Correlations: A Retrospective Study
- Changes in Resting-State Functional Connectivity and Cognitive-Affective Symptoms in Patients With Post-Concussion Syndrome Treated With N-Acetyl Cysteine
Research & Clinical Interests
- Computational Post-Processing
- Diffusion Tensor ImagingfMRI
- Imaging of the Central Nervous System
- Magnetic Resonance Imaging
- Neuroimaging
- Technical imaging support of clinical operations
About Dr. Alizadeh
Dr. Alizadeh leads the stereotactic imaging and computational analysis program of the Jefferson Integrated Magnetic Resonance Imaging Center (JIMRC) at Thomas Jefferson University to integrate advanced neuroimaging techniques to neurosurgical platform.
Since completing his PhD in 2017, Dr. Alizadeh has served as stereotactic neuroimaging specialist at Thomas Jefferson University, for the Department of Neurosurgery. He has developed and successfully applied functional and diffusion imaging to facilitate and improve preoperative and intraoperative imaging and planning particularly in the field of epilepsy and Parkinson’s disease surgeries. Dr. Alizadeh is part of the spinal cord imaging program, establishing, and developing quantitative tools to characterize spinal cord and predict recovery after injury.
He is currently working on grants which are primarily involved in the development and application of MRI imaging and data analysis techniques to study patients with epilepsy, PD, and spinal cord injury (SCI). With this current experience, Dr. Alizadeh is well-suited to lead and serve as co-investigator on the proposed project. The focus of this study is to develop an image tool for mapping structural and functional connectivity of the brain in spinal cord injury (SCI) patients who developed neuropathic pain, and customizing selection of imaging techniques and user friendly processing pipeline. There is a strong clinical need to present the unique treatment requirements of SCI-induced pain patients, for diagnostication, and prognostication.
For this grant, Dr. Alizadeh will be responsible as an investigator for designing and leading the project as well as developing a processing pipeline of the spinal cord MRI images with the help of coinvestigators. He will also contribute to all related quantitative measurements. Dr. Alizadeh is currently working on grants which are primarily involved in the development and application of MRI imaging and data analysis techniques to study the patients with epilepsy, PD and SCI. With this current experience, Dr. Alizadeh feels well-suited to work on the proposed project.
Other Publications
- Alizadeh M, Sultan Y, Saksena S, Conklin CJ, Middleton DM, Fisher J, Krisa L, Faro SH, Mulcahey MJ, Mohamed FB. Age Related Changes in Reduced FOV Diffusion Tensor Imaging and Fiber Tractography of the Typically Developing Cervical and Thoracic Pediatric Spinal Cord, NeuroImage: Clinical 18 (2018) 784-792. PMID: 29876264 PMCID: PMC5988463 b. Alizadeh M, Intintolo A, Middleton DM, Conklin CJ, Faro SH, Mulcahey MJ, Mohamed FB. Reduced FOV diffusion tensor MR imaging and fiber tractography of pediatric cervical spinal cord injury. Spinal Cord. 2017 Mar; 55(3):314-320. PMCID: PMC5793949.
- Matias C, Alizadeh M, Muller J, Sharan A, Wu C. Tractography-based targeting of the ventral intermediate nucleus for asleep DBS implantation. Movement Disorders, 2019, 34.
- Alizadeh M, Manmatharayan AR, Krisa L, Finley M, Detloff M, Newberg, A, Mohamed FB. Graph Theoretical Structural-Functional Connectome Analyses in Patients with Chronic Spinal Cord Injury. J Neurotrauma. 2020 (In Process)