Publications
You can find the most up-to-date list of publications on my Google Scholar profile.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
