Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Functional dedifferentiation of the brain during healthy aging
Published in Journal of neurophysiology, 2020
A NeuroForum article providing insights on the functional connectivity changes associated with healthy aging.
Recommended citation: Rakesh, Divyangana, Kavisha B. Fernando, and Sina Mansour L. "Functional dedifferentiation of the brain during healthy aging." Journal of neurophysiology 123.4 (2020): 1279-1282. https://doi.org/10.1152/jn.00039.2020
Brain-Predicted Age Associates With Psychopathology Dimensions in Youths
Published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2020
A study on the relationship between patterns of brain development and dimensional constructs of psychopathology.
Recommended citation: Cropley, Vanessa, et al. "Brain-Predicted Age Associates With Psychopathology Dimensions in Youths." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging (2020). https://doi.org/10.1016/j.bpsc.2020.07.014
High-resolution connectomic fingerprints: Mapping neural identity and behavior
Published in NeuroImage, 2021
A study on a novel high-resolution connectomic approach to study individually identifiable neural correlates of behavior.
Recommended citation: Mansour L., Sina, et al. "High-resolution connectomic fingerprints: mapping neural identity and behavior." NeuroImage (2021): 117695. https://doi.org/10.1016/j.neuroimage.2020.117695
Temporal complexity of fMRI is reproducible and correlates with higher order cognition
Published in NeuroImage, 2021
A study on the temporal complexity of fMRI and its relation to higher order cognition.
Recommended citation: Omidvarnia, Amir, et al. "Temporal complexity of fMRI is reproducible and correlates with higher order cognition." NeuroImage (2021): 117760. https://doi.org/10.1016/j.neuroimage.2021.117760
Brainhack: Developing a culture of open, inclusive, community-driven neuroscience
Published in Neuron, 2021
A NeuroView article describing the benefits of Brainhacks for participants and the research community.
Recommended citation: Gau, RĂ©mi, et al. "Brainhack: Developing a culture of open, inclusive, community-driven neuroscience." Neuron (2021). https://doi.org/10.1016/j.neuron.2021.04.001
Centering inclusivity in the design of online conferences–An OHBM–Open Science perspective
Published in GigaScience, 2021
A journal article describing practices that maximize inclusivity in online conferences.
Recommended citation: Levitis, Elizabeth, et al. "Centering inclusivity in the design of online conferences--An OHBM--Open Science perspective." GigaScience (2021). https://doi.org/10.1093/gigascience/giab051
Connectome spatial smoothing (CSS): Concepts, methods, and evaluation
Published in NeuroImage, 2022
A journal article describing a new methodological approach extending spatial smoothing to connectivity matrices.
Recommended citation: Mansour L., Sina, et al. "Connectome spatial smoothing (CSS): Concepts, methods, and evaluation." NeuroImage 250 (2022): 118930. https://doi.org/10.1016/j.neuroimage.2022.118930
Network communication models narrow the gap between the modular organization of structural and functional brain networks
Published in NeuroImage, 2022
A journal article discussing how network communication models elucidate the structural basis of functional systems in the brain.
Recommended citation: Seguin, Caio, et al. "Network communication models narrow the gap between the modular organization of structural and functional brain networks." NeuroImage 257 (2022): 119323. https://doi.org/10.1016/j.neuroimage.2022.119323
Biomedical image analysis competitions: The state of current participation practice
Published in arXiv, 2022
An article examining how participants in major biomedical imaging ML competitions develop algorithms, highlighting widespread use of standard deep-learning approaches and common resource constraints.
Recommended citation: Eisenmann, Matthias, et al. "Biomedical image analysis competitions: The state of current participation practice." arXiv preprint. https://doi.org/10.48550/arXiv.2212.08568
An open code pledge for the neuroscience community
Published in MetaArXiv, 2023
A journal article introducing a general purpose conditional pledge platform to promote code sharing.
Recommended citation: Smout, Cooper, et al. "An open code pledge for the neuroscience community." MetaArXiv preprint (2023). https://doi.org/10.31222/osf.io/vrwm7
Proceedings of the OHBM Brainhack 2021
Published in Aperture Neuro, 2023
A journal article introducing a general purpose conditional pledge platform to promote code sharing.
Recommended citation: Nikolaidis, Aki, et al. "Proceedings of the OHBM Brainhack 2021." Aperture Neuro (2023). https://doi.org/10.52294/258801b4-a9a9-4d30-a468-c43646391211
Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting method
Published in Neuroimage, 2023
A journal article introducing a new fast, accurate and reliable estimation method for connectome generative models.
Recommended citation: Liu, Yuanzhe, et al. "Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting method." Neuroimage 270 (2023): 119962. https://doi.org/10.1016/j.neuroimage.2023.119962
Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation
Published in Neuron, 2023
A journal article discussing how network communication models explain electrical pulse transmission across the cortex.
Recommended citation: Seguin, Caio, et al. "Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation." Neuron 111.9 (2023): 1391-1401. https://doi.org/10.1016/j.neuron.2023.01.027
Tractography passes the test: Results from the diffusion-simulated connectivity (DiSCo) challenge
Published in Neuroimage, 2023
A journal article evaluating performance of state-of-the-art connectivity methods at reconstructing a 3D connectivity phantom.
Recommended citation: Girard, Gabriel, et al. "Tractography passes the test: Results from the diffusion-simulated connectivity (DiSCo) challenge." Neuroimage 277 (2023): 120231. https://doi.org/10.1016/j.neuroimage.2023.119962
Modular Boundaries in Recurrent Neural Networks
Published in arXiv, 2023
An article exploring whether modular structure meaningfully shapes neural dynamics by analyzing modular boundaries in recurrent neural networks using community-detection methods.
Recommended citation: Tanner, Jacob, et al. "Modular Boundaries in Recurrent Neural Networks." arXiv preprint (2023). https://doi.org/10.48550/arXiv.2310.20601
Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource
Published in NeuroImage, 2023
A journal article introducing an unprecedented brain network resource of more than a million connectomes for the UK Biobank.
Recommended citation: Mansour L., S., Di Biase, M. A., Smith, R. E., Zalesky, A., & Seguin, C. (2023). Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale brain network resource. NeuroImage, 283, 120407. https://doi.org/10.1016/j.neuroimage.2023.120407
“Puberty age gap”: new method of assessing pubertal timing and its association with mental health problems
Published in Molecular Psychiatry, 2023
A journal article introducing a new method to assess pubertal timing and its links to mental health.
Recommended citation: Dehestani, N., Vijayakumar, N., Ball, G., Mansour L, S., Whittle, S., & Silk, T. J. (2023). “Puberty age gap”: new method of assessing pubertal timing and its association with mental health problems. Molecular Psychiatry, 1-8. https://doi.org/10.1038/s41380-023-02316-4
Eigenmodes of the brain: revisiting connectomics and geometry
Published in bioRxiv, 2024
A commentary showing that when connectomes are constructed with appropriate methods, connectome-derived eigenmodes explain brain activity as well as geometric eigenmodes, challenging claims that cortical geometry is inherently the stronger constraint.
Recommended citation: Mansour L, Sina, et al. "Eigenmodes of the brain: revisiting connectomics and geometry." bioRxiv preprint. https://doi.org/10.1101/2024.04.16.589843
Topological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement
Published in Network Neuroscience, 2024
A paper introducing a structural-connectivity–guided clustering method (TCS) that boosts task-fMRI detection power by integrating diffusion-derived anatomical information into standard inference.
Recommended citation: Mansour L, Sina, et al. "Topological cluster statistic (TCS): Toward structural connectivity–guided fMRI cluster enhancement." Network Neuroscience 8.3 (2024): 902-925. https://doi.org/10.1162/netn_a_00375
Structurally informed models of directed brain connectivity
Published in Nature Reviews Neuroscience, 2024
An article reviewing how structural connectivity can inform models of directed brain connectivity, assessing current methods, limitations, and future research opportunities.
Recommended citation: Greaves, Matthew D., et al. "Structurally informed models of directed brain connectivity." Nature Reviews Neuroscience 26.1 (2025): 23-41. https://doi.org/10.1038/s41583-024-00881-3
Perinatal development of structural thalamocortical connectivity
Published in Imaging Neuroscience, 2025
An article mapping the early development of thalamocortical connectivity in human infants, showing conserved spatial gradients that emerge by 30 weeks’ gestation and gradually refine with maturation.
Recommended citation: Oldham, Stuart, Sina Mansour L, and Gareth Ball. "Perinatal development of structural thalamocortical connectivity." Imaging Neuroscience 3 (2025): imag_a_00418. https://doi.org/10.1162/imag_a_00418
Spectral normative modeling of brain structure
Published in medRxiv, 2025
An article introducing spectral normative modeling (SNM), a method that efficiently generates high-resolution brain charts to capture individual variation and neurodegeneration patterns.
Recommended citation: Mansour L, Sina, et al. "Spectral normative modeling of brain structure." medRxiv preprint (2025): 2025-01. https://doi.org/10.1101/2025.01.16.25320639
Spurious correlations in surface-based functional brain imaging
Published in Imaging Neuroscience, 2025
An article examining the “gyral bias” in surface-mapped fMRI data, demonstrating how uneven vertex spacing inflates correlations in sulci and providing recommendations to mitigate its impact.
Recommended citation: Jeganathan, Jayson, et al. "Spurious correlations in surface-based functional brain imaging." Imaging Neuroscience 3 (2025): imag_a_00478. https://doi.org/10.1162/imag_a_00478
Characterizing Brain–Cardiovascular Aging Using Multiorgan Imaging and Machine Learning
Published in Journal of Neuroscience, 2025
An article investigating how age-related changes in the cardiovascular system are selectively associated with aging of specific brain networks using UK Biobank data.
Recommended citation: Amirmoezzi, Yalda, et al. "Characterizing Brain–Cardiovascular Aging Using Multiorgan Imaging and Machine Learning." Journal of Neuroscience 45.8 (2025). https://doi.org/10.1523/JNEUROSCI.1440-24.2024
On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes
Published in 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI), 2025
An article examining how individual and group-level structural connectome eigenmodes relate to macroscale functional brain activity, finding that spatially smooth eigenmodes best explain functional data.
Recommended citation: Olsen, Anders S., et al. "On Reconstruction of Cortical Functional Maps Using Subject-Specific Geometric and Connectome Eigenmodes." 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/ISBI60581.2025.10980669
Structural Eigenmodes of the Brain to Improve the Source Localisation of EEG: Application to Epileptiform Activity
Published in bioRxiv, 2025
An article presenting a framework that uses structural brain eigenmodes to improve EEG source localisation in epilepsy, showing geometric eigenmodes slightly outperform connectome-based modes.
Recommended citation: Siu, Pok Him, et al. "Structural Eigenmodes of the Brain to Improve the Source Localisation of EEG: Application to Epileptiform Activity." bioRxiv preprint. https://doi.org/10.1101/2025.07.27.667083
Neuroanatomical pathways of TMS therapy for depression
Published in medRxiv, 2025
An article using connectome modeling to identify polysynaptic pathways underlying TMS therapy for depression and how route length predicts treatment response.
Recommended citation: Seguin, Caio, et al. "Neuroanatomical pathways of TMS therapy for depression." medRxiv preprint (2025): 2025-10. https://doi.org/10.1101/2025.02.10.25322034
A whole-brain structural connectivity signature in adult Niemann-Pick disease type C
Published in Brain Communications, 2025
An article investigating brain connectivity in adult Niemann–Pick disease type C, revealing widespread disconnectivity in frontotemporal and subcortical networks that may underlie neuropsychiatric symptoms.
Recommended citation: Reilly, Thomas C., et al. "A whole-brain structural connectivity signature in adult Niemann-Pick disease type C." Brain Communications, fcaf426. https://doi.org/10.1093/braincomms/fcaf426
Deep generation of personalized connectomes based on individual attributes
Published in Medical Image Analysis, 2025
An article introducing a deep learning model that generates an individual’s connectome from personal traits, showing accurate recapitulation of empirical connectomes and potential applications in data augmentation and anonymized sharing.
Recommended citation: Yuanzhe, Liu, et al. "Deep generation of personalized connectomes based on individual attributes." Medical Image Analysis (2025): 103761. https://doi.org/10.1016/j.media.2025.103761
talks
Network alignment
Published:
Structural Connectome Fingerprinting
Published:
- Best graphical abstract award
High-resolution connectivity; A novel biomarker of brain-behavior associations
Published:
This webinar organised by the OHBM Australia Chapter was focused on “IMPROVED METHODS AND IMPORTANT CONSIDERATIONS FOR CORRELATING BRAIN AND BEHAVIOUR”.
High-resolution Connectomics
Published:
đź’»
Connectome-Based Smoothing (CBS) for structural connectomes
Published:
Presentation at the “Maths in the Brain” Conference organized by the Turner Institute for Brain and Mental Health & Monash Biomedical Imaging.
Workshop on white-matter tractography
Published:
A workshop on best practices for white matter diffusion tractography.
Spectral connectome analysis across modalities and resolutions
Published:
A featured talk at the symposium on Novel insights into brain organization via graph signal processing.
Topological Cluster Statistic: Structural connectivity guided fMRI cluster enhancements
Published:
A poster presentation proposing a novel anatomically-guided cluster inference method.
An introduction to High-resolution Human Connectomics & its applications
Published:
A talk providing a global overview of high-resolution connectomic approaches and its applications.
Computational models of High-resolution Human Connectomics, a tale of two disciplines
Published:
This talk was part of the discussions around “Mathematics of The Interactions Between Brain Structure and Brain Functions” during a two weak workshop at MATRIX house. In this presentation, I explored high-resolution connectomic approaches by examining the intersection of graph theory and neuroscience.
Topological Cluster Statistic (TCS): fMRI cluster enhancement using anatomically-guided inference
Published:
Poster presentation on Topological Cluster Statistic (TCS)
Cerebro: One tool to view them all!
Published:
This talk was a project pitch during Brainhack Australasia 2022 in which Cerebro Viewer was first introduced.
High-resolution Connectomics, a tale of two disciplines
Published:
This was a presentation for the Mind and Brain Division of the Department of Psychiatry and Psychotherapy at Charité where I portray high-resolution connectomics as a bridge between mathematical models of graph theory and biological models of the neuronal doctrine.
Charting the human brain; toward resolution-independent, interpretable, and reusable normative brain models
Published:
This was a presentation for the Mind and Brain Division of the Department of Psychiatry and Psychotherapy at Charité where I presented our newly developed idea for kernel-based reconstructive normative brain models.
Charting the human brain; toward resolution-independent reusable normative brain models
Published:
This was a presentation for the Predictive Clinical Neuroscience group at the Donders Institute (one of the leading research institutes worldwide for normative brain models) where I presented our newly developed idea for kernel-based reconstructive normative brain models to foster future collaborations.
Cerebro: One tool to view them all!
Published:
This was a hack track project pitch for OHBM Brainhack 2023. During the brainhack, a team of amazing brainhack buddies helped in a joint endeavor to develop documentations and an online gallery showcasing various capabilities of Cerebro.
Connectomes for 40,000 UK Biobank participants: A multi-modal, multi-scale dataset for network neuroscience
Published:
This poster presentation (available online) introduced our release of more than 10TB of brain connectivity data for the UK biobank project.
Topological Cluster Statistic (TCS): Linking tractography and brain activation to make anatomically-informed inference
Published:
A featured talk at the symposium on Inference on the Brain, advances and practices in brain activity inference.
Intro to OHBM Brainhack 2024; a satellite event at OHBM 2024
Published:
As the Hackathon Chair for the OHBM Open Science SIG, I had the pleasure of introducing OHBM Brainhack 2024, a satellite event at OHBM 2024. Together with a team of dedicated volunteers, we organized this three-day hackathon held from June 20 to 22, 2024, in Seoul, South Korea.
Symposium on Creating and using representative Big Open datasets: global challenges and promises
Published:
As the hackathon chair for OHBM Open Science SIG, I helped organize a symposium on “Creating and using representative Big Open datasets: global challenges and promises” at OHBM 2024.
Human Brain Normative Modeling Using Eigenmodes
Published:
This poster presentation (available online) introduces a novel methodological framework for scale independent normative modeling of the human brain using graph spectral brain eigenmodes.
Spotlight talk: Spectral normative modeling for high-resolution inference of brain abnormalities
Published:
This short spotlight talk at the OHBM Australia 2024 Annual Meeting presented our recent work on spectral normative modeling for high-resolution inference of brain abnormalities. The talk highlighted the advantages of using graph spectral brain eigenmodes to create scale-independent normative models that can capture individual variations in brain structure and function across multiple spatial scales, with applications in identifying and characterizing brain abnormalities.
Virtual talk on High-resolution Connectomic Models: Challenges, Promises, and Prospects
Published:
This virtual talk at the Melbourne Ultra-High Field Functional Imaging Network presented our recent advancements in mapping the macroscopic human brain’s connectome at ultra-high resolutions. The talk discussed the challenges associated with acquiring, processing, and analyzing high-resolution neuroimaging data, as well as the promises such data hold for understanding brain organization. We also explored future prospects for integrating multi-modal imaging techniques and leveraging advanced computational models to enhance our understanding of brain connectivity and function at unprecedented spatial scales.
Open Science Volunteering and Academia: Navigating the Challenges and Rewards
Published:
This online talk at the MRI Together 2024 conference was part of a symposium on “Sustainable Volunteering” during which, together with Dr. Johanna Bayer we reflected on our experiences as long-term volunteers in the MRI and neuroimaging community. This talk aimed to equip attendees with practical strategies for navigating the rewards and challenges of volunteering while highlighting the lasting impact of contributing to open science and academic communities.
Charting Multi-Scale Brain Phenotypes Using Spectral Normative Models
Published:
This talk at the ISMRM Workshop on 40 Years of Diffusion, was part of a session on AI and Big Data, during which I presented our recent advancements in developing spectral normative models for charting multi-scale brain phenotypes using diffusion MRI data. The talk highlighted how graph spectral brain eigenmodes can be leveraged to create scale-independent brain charts. We further explored the close association between spectral normative modeling and fundamental neural network architectures, such as graph neural networks (GNNs) and bayesian networks, discussing their implications for understanding brain structure and function across multiple spatial scales.
From Code to Visualization: Reproducible Pipelines for Neuroimaging Research
Published:
This educational course at the OHBM 2025 Annual Meeting in Brisbane, Australia, was part of a session on Maximizing scientific efficiency through sustainability, reproducibility, and FAIRness organized in collaboration between the OHBM SEA SIG and the OHBM Open Science SIG.
Spectral Normative Modeling (SNM) for High-resolution Brain Abnormality Inference
Published:
This featured talk (part of the oral session on the Disorders of the Nervous System), along with a poster presentation (available online) explores the clinical applications of our novel spectral normative modeling approach for high-resolution brain abnormality inference.
Lifespan Normative Modeling; Charting Healthy Norms & Detecting Pathological Deviations
Published:
This invited talk provided an introduction to lifespan normative modeling, focusing on charting healthy norms and detecting pathological deviations across the human lifespan.
Open Science in Academia; Practical Steps To Get Started
Published:
This invited talk provided and introduction to various aspects of open science in academia and explored practical steps to get started with implementing best practices for open science.
teaching
Tutor for "Advanced C++ Programming"
Undergraduate course, Sharif University of Technology, Department of Electrical Engineering, 2015
Lab demonstration and tutoring for the advanced c++ programming course lectured by Prof. Matin Hashemi.
Tutor for "Operating Systems"
Undergraduate course, Sharif University of Technology, Department of Mathematical Sciences, 2016
Tutoring and course project design for the operating systems course lectured by Prof. Mohammad-Hadi Foroughmand-Araabi.
Tutor for "Programming for Neuroimaging Data Analysis (PNDA) workshop series"
Workshop, Melbourne Neuropsychiatry Centre, 2019
Content preparation and tutoring for a programming initiative through the Students of Neuropsychiatry Research, SONR Grad group.
Tutor for "OHBM Brainhack 2020"
Hackathon, Organization for Human Brain Mapping, Open Science Special Interest Group, 2020
Tutoring during the OHBM 2020 Brainhack
Tutor for "IEEE Unlock Xtreme 14.0"
Workshop, IEEE Student Branch, The University of Melbourne, 2020
Tutoring for the Unlock Xtreme python programming workshops.
Talk on "Introduction to Data Analytics & Machine Learning"
Workshop, IWMLDA, Online, 2021
Presented a two-hour session on Introduction to Data Analytics & Machine Learning as part of the International Workshop on Machine Learning for Data Analytics, IWMLDA.
Tutor for "Circuits and Systems"
Tutor, The University of Melbourne, 2021
Course Tutor for Circuits and Systems (BMEN30006) at the Department of Biomedical Engineering. (Semester 1)
Tutor for "Applied Computation in Bioengineering"
Tutor, The University of Melbourne, 2021
Course Tutor for Applied Computation in Bioengineering (BMEN20003) at the Department of Biomedical Engineering. (Semester 1)
Tutor and Organizer of "IEEE Unlock Xtreme 15.0"
Workshop, IEEE Student Branch, The University of Melbourne, 2021
Organizign the Unlock Xtreme python programming workshops.
Tutor for TrainTrack Sessions in "OHBM Brainhack 2025"
Workshop, OHBM Brainhack 2025, 2025
During OHBM Brainhack 2025, held from June 22 to 24, 2025, in Brisbane, Australia, I served as a tutor for a hands-on workshop session on “NeuroImaging Data Visualization with Python”. This session was part of the TrainTrack program, designed to provide participants with practical skills in visualizing neuroimaging data using programming tools.