Neuroimaging · Neuroinformatics · Neuroscience

Sadegh Ghaderi MSc, PhD

Postdoctoral Fellow in Neuroimaging and Neuroinformatics

The Neuro/Montreal Neurological Institute-Hospital
McConnell Brain Imaging Centre, MNI · McGill University

I am currently a postdoctoral fellow at The Neuro (Montreal Neurological Institute-Hospital) and McConnell Brain Imaging Centre, McGill University, conducting research in the Neuroinformatics for Personalized Medicine Lab. With a robust academic background encompassing radiology, medical imaging, and neuroimaging (from BSc to PhD), my work leverages 7-Tesla MRI and generative computational models to characterize early microstructural changes in Parkinson’s disease and other neurodegenerative conditions.

79publications listed

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Research focus

Imaging biology across scales

My work connects MRI physics, computational modeling, and clinical neuroscience to study neurodegenerative disease.

My expertise bridges MRI physics with clinical applications, employing multimodal data integration—combining high-resolution imaging with omics and clinical phenotypes—to map iron, myelin, and water content in the brain, especially in subcortical nuclei. I have experience utilizing advanced neuroimaging techniques, including structural MRI, QSM, DTI, and fMRI, to investigate neurodegeneration and neuroinflammation.

My ongoing research focuses on integrating artificial intelligence with mechanistic modeling to develop open-science, AI-driven diagnostic tools that translate complex multi-omics and imaging data into precise clinical biomarkers.

Explore research directions
  • 7-Tesla MRI
  • Quantitative MRI
  • QSM & χ-separation
  • Parkinson’s disease
  • ALS
  • Multimodal imaging
  • AI & mechanistic modeling
  • Multi-omics

Selected work

Selected publications

A representative selection from the complete publication record.

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2026 Brain Research Bulletin Corresponding author

Are T1-weighted and T2-weighted volumetric pipelines interchangeable methodologies for investigating amyotrophic lateral sclerosis pathology in vivo?

Sana Mohammadi, Francesca Trojsi, Sadegh Ghaderi

DOI 10.1016/j.brainresbull.2026.112036
  • ALS & motor neuron disease
2026 Brain Research Bulletin Corresponding author

Functional adaptive longitudinal reorganization of superior parietal lobule networks in amyotrophic lateral sclerosis: Evidence suggesting compensatory mechanisms

Sadegh Ghaderi, Sana Mohammadi, Sanjay Kalra, Seyed Amir Hossein Batouli

DOI 10.1016/j.brainresbull.2026.111900
  • ALS & motor neuron disease
  • Functional, perfusion & spectroscopy
2026 Journal of Magnetic Resonance Imaging Corresponding author

Hippocampal Subfield Integrity and Age‐Driven Neural Correlates of Appetite Loss in Amyotrophic Lateral Sclerosis

Sadegh Ghaderi, Sana Mohammadi, Sanjay Kalra

DOI 10.1002/jmri.70206
  • ALS & motor neuron disease
  • Alzheimer’s, MCI & brain aging
2026 Magnetic Resonance Imaging Corresponding author

Magnetic susceptibility source separation (χ-separation) in quantitative susceptibility mapping

Sadegh Ghaderi, Sana Mohammadi, Seyed-Mohammad Fereshtehnejad

DOI 10.1016/j.mri.2026.110708
  • Alzheimer’s, MCI & brain aging
  • QSM & tissue susceptibility
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Research portfolio

Selected research projects

Current and completed work spanning neurodegeneration, quantitative MRI, and medical image analysis.

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OngoingFebruary 2026 – Present

Current Postdoctoral Research in Neuroimaging and Neuroinformatics

Early diagnosis and PM in Parkinson’s disease and other neurodegenerative conditions.

  • 7-Tesla MRI
  • High-resolution quantitative imaging
  • Generative computational models
  • Multimodal integration of imaging, omics, and clinical phenotypes
Project details
Completed2019 – 2024

PhD Dissertation — Evaluation of Structural and Functional Brain Changes in Amyotrophic Lateral Sclerosis

Evaluation of structural and functional brain changes in ALS to identify disease biomarkers and support targeted treatment.

  • Multimodal MRI framework
  • Quantitative susceptibility mapping
  • Structural volumetry
  • Diffusion MRI
Project details
Completed2016 – 2019

MSc Thesis — MRI Properties of a Gadolinium-Loaded Aluminosilicate Nanocomposite

Magnetic resonance imaging characterization of a gadolinium (III)-loaded aluminosilicate nanocomposite containing doxorubicin with a folic acid coating.

  • MRI characterization
  • Nanocomposite imaging
  • Image processing
  • Fractal dimension feature extraction and morphological analysis
Project details
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Research correspondence

Open to scientific exchange and collaboration.

For research discussions, invited talks, reviewing, or collaboration enquiries:

sadegh.ghaderi@mcgill.ca Contact details