BG
Boris Gutman
q-bio.NCNeuroimagingMRIMagnetic Resonance Imagingneuroscienceq-bio.QMAlzheimer's diseasecs.CVAlzheimer’s diseasecs.LG
On Valency
published · living versionsW_hbjrxy96·v1 · currentpublished
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
with Daniel Semchin, Emile d'Angremont, Hao Ding, Alan Antar +4
1 version
Preprints & journals
110 papers in the corpus · 2009–2026Cross-disorder Learning of Imaging-derived Joint Mophometric Markers in Alzheimer's and Parkinson's Diseases2610.27150v1 · Yuji Zhao, Boris Gutman2026 · 0 citationsarXiv
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model2609.10890v1 · Daniel Semchin, Emile d'Angremont, Hao Ding et al.2026 · 0 citationsarXivon Valency
Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings2608.05132v1 · Hao Ding, Daniel Semchin, Paul M. Thompson et al.2026 · 0 citationsarXiv
A 3D Brain Geometry Toolkit for Multisite Neuroimaging Analysis.42427731 · Im, Yanghee, Kang, Melody J Y, Gutman, Boris A et al.2026 · 0 citationsbioRxiv : the preprint server for biology. 2026
SMART: A Flexible, Interpretable, and Scalable Spatio-temporal Brain Atlas from High-Resolution Imaging Data2606.18753v1 · John Kalkhof, Boris Gutman (IIT), Emile d'Angremont et al.2026 · 0 citationsarXiv
Validation of a methylation-based, tissue-free MRD assay in colorectal cancer patients from the GALAXY study.41555007 · Nakamura, Yoshiaki, Reiter, Johannes G, Natarajan, Prashanthi et al.2026 · 8 citationsNPJ precision oncology. 2026;10(1):70
Disease Progression Modeling and Stratification for detecting sub-trajectories in the natural history of pathologies: Application to Alzheimer's disease trajectory modeling.41211099 · Viani, Alessandro, Custo, Anna, d'Angremont, Emile et al.2025 · 3 citationsImaging neuroscience (Cambridge, Mass.). 2025;3
Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease2508.10343v1 · Daniel Semchin, Emile d'Angremont, Marco Lorenzi et al.2025 · 0 citationsarXiv
A Scalable Toolkit for Modeling 3D Surface-based Brain Geometry10.1101/2025.08.06.668521v1 · Im, Y., Nabulsi, L., Kang, M. J. Y. et al.2025 · 0 citationsbioRxiv
Penetrance of Neurodevelopmental Copy Number Variants Is Associated With Variations in Cortical Morphology.40414598 · Silva, Ana I, Sønderby, Ida E, Kirov, George et al.2025 · 1 citationBiological psychiatry. Cognitive neuroscience and neuroimaging. 2025;10(10):1093-1106
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling2412.13608v1 · Alessandro Viani (CRISAM), Boris A Gutman (IIT), Emile d'Angremont (Amsterdam UMC) et al.2024 · 0 citationsarXiv
A worldwide study of subcortical shape as a marker for clinical staging in Parkinson's disease.39557903 · Laansma, Max A, Zhao, Yuji, van Heese, Eva M et al.2025 · 13 citationsNPJ Parkinson's disease. 2024;10(1):223
A Surface-based deep learning approach for cortical shape analysis.39554098 · Im, Yanghee, Zhao, Yuji, Gutman, Boris A et al.2024 · 3 citationsbioRxiv : the preprint server for biology. 2024
Sex differences in deep brain shape and asymmetry persist across schizophrenia and healthy individuals: A meta-analysis from the ENIGMA-Schizophrenia Working Group.39484539 · Cimmino, Delaina B, Zabriskie, Brinley, Luke, Steven et al.2026 · 2 citationsbioRxiv : the preprint server for biology. 2024
Subcortical brain alterations in carriers of genomic copy number variants.36865328 · Kumar, Kuldeep, Modenato, Claudia, Moreau, Clara et al.2024 · 25 citationsmedRxiv : the preprint server for health sciences. 2023
Shape analysis of subcortical structures in obsessive-compulsive disorder and the relationship with comorbid anxiety, depression, and medication use: A meta-analysis by the OCD Brain Imaging Consortium.36106505 · Fouche, Jean-Paul, Groenewold, Nynke A, Sevenoaks, Tatum et al.2022 · 17 citationsBrain and behavior. 2022;12(10):e2755
Subcortical brain structures and the risk of dementia in the Rotterdam Study.35633518 · van der Velpen, Isabelle F, Vlasov, Vanja, Evans, Tavia E et al.2023 · 40 citationsAlzheimer's & dementia : the journal of the Alzheimer's Association. 2023;19(2):646-657
A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium.34498337 · Gutman, Boris A, van Erp, Theo G M, Alpert, Kathryn et al.2022 · 77 citationsHuman brain mapping. 2022;43(1):352-372
International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease.34288137 · Laansma, Max A, Bright, Joanna K, Al-Bachari, Sarah et al.2022 · 131 citationsMovement disorders : official journal of the Movement Disorder Society. 2021;36(11):2583-2594
Predicting future cognitive decline with hyperbolic stochastic coding.33711742 · Zhang, Jie, Dong, Qunxi, Shi, Jie et al.2021 · 2 citationsMedical image analysis. 2021;70:102009
Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs.33615640 · Sønderby, Ida E, Ching, Christopher R K, Thomopoulos, Sophia I et al.2022 · 72 citationsHuman brain mapping. 2022;43(1):300-328
FreeSurfer-based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts.33368865 · Sämann, Philipp G, Iglesias, Juan Eugenio, Gutman, Boris et al.2022 · 136 citationsHuman brain mapping. 2022;43(1):207-233
ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing.32472038 · Schmaal, Lianne, Pozzi, Elena, C Ho, Tiffany et al.2021 · 249 citationsTranslational psychiatry. 2020;10(1):172
Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering.32264696 · Kurmukov, Anvar, Mussabaeva, Ayagoz, Denisova, Yulia et al.2021 · 4 citationsBrain connectivity. 2020;10(4):183-194
Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group.32198905 · Ho, Tiffany C, Gutman, Boris, Pozzi, Elena et al.2022 · 119 citationsHuman brain mapping. 2022;43(1):341-351
The genetic architecture of the human cerebral cortex.32193296 · Grasby, Katrina L, Jahanshad, Neda, Painter, Jodie N et al.2020 · 874 citationsScience (New York, N.Y.). 2020;367(6484)
ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries.32198361 · Thompson, Paul M, Jahanshad, Neda, Ching, Christopher R K et al.2021 · 658 citationsTranslational psychiatry. 2020;10(1):100
Mapping Subcortical Brain Alterations in 22q11.2 Deletion Syndrome: Effects of Deletion Size and Convergence With Idiopathic Neuropsychiatric Illness.32046535 · Ching, Christopher R K, Gutman, Boris A, Sun, Daqiang et al.2020 · 80 citationsThe American journal of psychiatry. 2020;177(7):589-600
Applying surface-based morphometry to study ventricular abnormalities of cognitively unimpaired subjects prior to clinically significant memory decline.32683323 · Dong, Qunxi, Zhang, Wen, Stonnington, Cynthia M et al.2021 · 22 citationsNeuroImage. Clinical. 2020;27:102338
Subcortical surface morphometry in substance dependence: An ENIGMA addiction working group study.31746534 · Chye, Yann, Mackey, Scott, Gutman, Boris A et al.2021 · 75 citationsAddiction biology. 2020;25(6):e12830
Striatal morphology and neurocognitive dysfunction in Huntington disease: The IMAGE-HD study.31330407 · Wilkes, Fiona A, Abaryan, Zvart, Ching, Chris R K et al.2020 · 27 citationsPsychiatry research. Neuroimaging. 2019;291:1-8
Multi-Site Meta-Analysis of Morphometry.31135366 · Jahanshad, Neda, Faskowitz, Joshua, Roshchupkin, Gennady et al.2020 · 9 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2019;16(5):1508-1514
Subcortical shape and neuropsychological function among U.S. service members with mild traumatic brain injury.29564659 · Tate, David F, Wade, Benjamin S C, Velez, Carmen S et al.2019 · 22 citationsBrain imaging and behavior. 2019;13(2):377-388
Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects.30852398 · Dong, Qunxi, Zhang, Wen, Wu, Jianfeng et al.2019 · 45 citationsNeuroImage. Clinical. 2019;22:101744
Mapping abnormal subcortical neurodevelopment in a cohort of Thai children with HIV.31029050 · Wade, Benjamin S C, Valcour, Victor G, Puthanakit, Thanyawee et al.2020 · 13 citationsNeuroImage. Clinical. 2019;23:101810
High-Dimensional Mapping of Cognition to the Brain Using Voxel-Based Morphometry and Subcortical Shape Analysis.31356202 · Zonneveld, Hazel I, Roshchupkin, Gennady V, Adams, Hieab H H et al.2020 · 9 citationsJournal of Alzheimer's disease : JAD. 2019;71(1):141-152
Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?30470561 · van Erp, Theo G M, Walton, Esther, Hibar, Derrek P et al.2019 · 7 citationsBiological psychiatry. 2019;85(7):e35-e39
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data1810.08553v4 · Santiago Silva, Boris Gutman, Eduardo Romero et al.2018 · 212 citationsarXiv
Smaller hippocampal CA1 subfield volume in posttraumatic stress disorder.30256497 · Chen, Lyon W, Sun, Delin, Davis, Sarah L et al.2019 · 72 citationsDepression and anxiety. 2018;35(11):1018-1029
Connectivity-Driven Brain Parcellation via Consensus Clustering1808.04262v1 · Anvar Kurmukov, Ayagoz Mussabayeva, Yulia Denisova et al.2018 · 2 citationsarXiv
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms1808.04439v1 · Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov et al.2018 · 2 citationsarXiv
Remote Changes in Cortical Excitability after Experimental Traumatic Brain Injury and Functional Reorganization.29717625 · Verley, Derek R, Torolira, Daniel, Pulido, Brandon et al.2019 · 28 citationsJournal of neurotrauma. 2018;35(20):2448-2461
Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium.29960671 · van Erp, Theo G M, Walton, Esther, Hibar, Derrek P et al.2019 · 940 citationsBiological psychiatry. 2018;84(9):644-654
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics.29511103 · Lorenzi, Marco, Altmann, Andre, Gutman, Boris et al.2018 · 51 citationsProceedings of the National Academy of Sciences of the United States of America. 2018;115(12):3162-3167
Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder.29876263 · Douglas, P K, Gutman, Boris, Anderson, Ariana et al.2019 · 52 citationsNeuroImage. Clinical. 2018;18:744-752
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging.30035274 · Petrov, Dmitry, Gutman, Boris A, Yu, Shih-Hua Julie et al.2024 · 8 citationsMachine learning in medical imaging. MLMI (Workshop). 2017;10541:371-378
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification1706.06031v1 · Dmitry Petrov, Alexander Ivanov, Joshua Faskowitz et al.2017 · 12 citationsarXiv
Mapping 22q11.2 Gene Dosage Effects on Brain Morphometry.28536274 · Lin, Amy, Ching, Christopher R K, Vajdi, Ariana et al.2017 · 69 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2017;37(26):6183-6199
Continuous representations of brain connectivity using spatial point processes.28487128 · Moyer, Daniel, Gutman, Boris A, Faskowitz, Joshua et al.2018 · 23 citationsMedical image analysis. 2017;41:32-39
DATA-DRIVEN CLUSTER SELECTION FOR SUBCORTICAL SHAPE AND CORTICAL THICKNESS PREDICTS RECOVERY FROM DEPRESSIVE SYMPTOMS.30713592 · Wade, Benjamin S C, Sui, Jing, Njau, Stephanie et al.2020 · 6 citationsProceedings. IEEE International Symposium on Biomedical Imaging. 2017;2017:502-506
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