Brain Network Modeling and Applications

Brain network analysis with intrinsic functional connectivity magnetic resonance imaging has advanced our understanding of human brain functional organization. The rapid development of functional connectivity analytic techniques enables us to investigate both typical brain development and neuropsychiatric disorders. To characterize subject-specific brain networks, we have developed a suite of advanced functional brain network analytic tools, including discriminant analysis of functional connectivity patterns, group information guided independent component analysis, functional brain parcellation, and non-negative large-scale sparse functional network analysis.

• Fan Y, Liu Y, Wu H, Hao Y, Liu H, Liu Z, Jiang T, Discriminant analysis of functional connectivity patterns on Grassmann manifold, Neuroimage, 56(4): 2058-2067, 2011. PMID:21440643
• Fan Y, Shi F, Smith J, Lin W, Gilmore JH, Shen D, Brain anatomical networks in early human brain development, Neuroimage, 54(3): 1862-1871, 2011. PMCID: PMC3023885
• Du Y, Fan Y, Group information guided ICA for fMRI data analysis, Neuroimage, 69(1): 157-197, 2013. PMID: 23194820
• Li H, Satterthwaite TD, Fan Y, Large-scale sparse functional networks from resting state fMRI, NeuroImage, 156, 1-13, 2017, PMID: 28483721
• Li H, Satterthwaite TD, Fan Y. Brain Age Prediction Based on Resting-State Functional Connectivity Patterns Using Convolutional Neural Networks. Proc IEEE Int Symp Biomed Imaging. 2018 Apr;2018:101-104. doi: 10.1109/ISBI.2018.8363532. Epub 2018 May 24. PMID: 30079125; PMCID: PMC6074039.
• Wetherill RR, Rao H, Hager N, Wang J, Franklin RT, Fan Y, Classifying and Characterizing Nicotine Use Disorder with High Accuracy Using Machine Learning and Resting-State fMRI. Addict Biol. 2018 Jun 27. doi: 10.1111/adb.12644. PMID: 29949234
• Jing R, Li P, Ding Z, Lin X, Zhao R, Shi L, Yan H, Liao J, Zhuo C, Lu L, Fan Y. Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients. Hum Brain Mapp. 2019 Sep;40(13):3930-3939. doi: 10.1002/hbm.24678. Epub 2019 May 30. PMID: 31148311; PMCID: PMC6679781.
• Li H, Fan Y, Interpretable, highly accurate brain decoding of subtly distinct brain states from functional MRI using intrinsic functional networks and long short-term memory recurrent neural networks. Neuroimage. 2019 Jul 27;202:116059. PMID: 31362049
• Li P, Jing RX, Zhao RJ, Shi L, Sun HQ, Ding Z, Lin X, Lu L, Fan Y. Association between functional and structural connectivity of the corticostriatal network in people with schizophrenia and unaffected first-degree relatives. J Psychiatry Neurosci. 2020 Nov 1;45(6):395-405. doi: 10.1503/jpn.190015. PMID: 32436671; PMCID: PMC7595738
• Jing R, Han Y, Cheng H, Han Y, Wang K, Weintraub D, Fan Y. Altered large-scale functional brain networks in neurological Wilson's disease. Brain Imaging Behav. 2020 Oct;14(5):1445-1455. doi: 10.1007/s11682-019-00066-y. PMID: 31011947; PMCID: PMC6810801.
• Zaixu Cui, Hongming Li, Cedric H Xia, Bart Larsen, Azeez Adebimpe, Graham L Baum, Matt Cieslak, Raquel E Gur, Ruben C Gur, Tyler M Moore, Desmond J Oathes, Aaron F Alexander-Bloch, Armin Raznahan, David R Roalf, Russell T Shinohara, Daniel H Wolf, Christos Davatzikos, Danielle S Bassett, Damien A Fair, Yong Fan, Theodore D Satterthwaite: Individual Variation in Functional Topography of Association Networks in Youth. Neuron, 106(2):340-353.e8, April 2020
• Xiaofeng Zhu, Hongming Li, Heng Tao Shen, Zheng Zhang, Yanli Ji, Yong Fan: Fusing functional connectivity with network nodal information for sparse network pattern learning of functional brain networks, Information Fusion, Volume 75, 2021, Pages 131-139
• Adam R Pines, Bart Larsen, Zaixu Cui, Valerie J Sydnor, Maxwell A Bertolero, Azeez Adebimpe, Aaron F Alexander-Bloch, Christos Davatzikos, Damien A Fair, Ruben C Gur, Raquel E Gur, Hongming Li, Michael P Milham, Tyler M Moore, Kristin Murtha, Linden Parkes, Sharon L Thompson-Schill, Sheila Shanmugan, Russell T Shinohara, Sarah M Weinstein, Danielle S Bassett, Yong Fan, Theodore D Satterthwaite: Dissociable multi-scale patterns of development in personalized brain networks. Nat Commun. 2022 May 12;13(1):2647. doi: 10.1038/s41467-022-30244-4. PMID: 35551181; PMCID: PMC9098559.
• Zaixu Cui, Adam R. Pines, Bart Larsen, Valerie J. Sydnor, Hongming Li, Azeez Adebimpe, Aaron F. Alexander-Bloch, Dani S. Bassett, Max Bertolero, Monica E. Calkins, Christos Davatzikos, Damien A. Fair, Ruben C. Gur, Raquel E. Gur, Tyler M. Moore, Sheila Shanmugan, Russell T. Shinohara, Jacob W. Vogel, Cedric H. Xia, Yong Fan, Theodore D. Satterthwaite: Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth, Biological Psychiatry, 2022