Author

Mojdeh Zamyadi

Baycrest HospitalORCID 0000-0002-8455-0784Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Assay:imaging· 3 Approach:statistical model· 3 Approach:benchmark study· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

Christopher J.M. ScottiD· 3 shared Nuwan Dayananda NanayakkaraiD· 3 shared Robert BarthaiD· 3 shared Sandra E. BlackiD· 3 shared Sean P. SymonsiD· 3 shared Stephen C. StrotheriD· 3 shared Stephen R. ArnottiD· 3 shared Anthony Edward LangiD· 2 shared

Activity by Year

2020-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Christopher J.M. ScottORCID

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3 papers

Recent·Most cited

Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRI

Pradeep Reddy Raamana, Athena E. Theyers, Tharushan Selliah, Piali Bhati, Stephen R. Arnott, Stefanie Hassel, Nuwan Dayananda Nanayakkara, Christopher J.M. Scott, Jacqueline K. Harris, Mojdeh Zamyadi, Raymond Wing Moon Lam, Roumen V. Milev, Daniel J. Müller, Susan Rotzinger, Benicio Noronha Frey, , Stephen C. Strother

The paper introduces a visual quality control protocol for FreeSurfer cortical parcellations using VisualQC, showing it effectively detects errors and has reliable inter-rater agreement.

Aperture Neuro · Dec 14, 2022Peer-reviewedNeuroscience

Investigating the Contribution of White Matter Hyperintensities and Cortical Thickness to Empathy in Neurodegenerative and Cerebrovascular Diseases

Miracle Ozzoude, Brenda Maricela Varriano, Derek Beaton, Joel Ramirez, Melissa F. Holmes, Christopher J.M. Scott, Fuqiang Gao, Kelly M. Sunderland, Paula M. McLaughlin, Jennifer S. Rabin, Maged Goubran, Donna T. Kwan, Angela Roberts, Robert Bartha, Sean P. Symons, , Angela K. Troyer

This study examines the relationship between white matter hyperintensities, cortical thickness, and empathy in neurodegenerative and cerebrovascular diseases, finding associations with specific brain regions and demographic factors.

GeroScience · Mar 16, 2022Peer-reviewedNeuroscience

An overview of the quality assurance and quality control of magnetic resonance imaging data for the Ontario Neurodegenerative Disease Research Initiative (ONDRI): pipeline development and neuroinformatics

Christopher J.M. Scott, Stephen R. Arnott, Aditi Chemparathy, Fan Dong, Igor Solovey, Tom Gee, Tanya Schmah, Sofia Chavez, Nancy J. Lobaugh, Nuwan Dayananda Nanayakkara, Shuai Liang, Mojdeh Zamyadi, Miracle Ozzoude, Melissa F. Holmes, Gregory M. Szilagyi, , the ONDRI investigators

The paper describes the quality assurance and quality control pipeline for multi-site MRI data in the ONDRI study, ensuring standardized data collection and high image quality.

bioRxiv · Jan 10, 2020 · PreprintNeuroscience