Neuroimaging of the Philadelphia Neurodevelopmental Cohort

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Items 401–500 of 503

1. White Matter Bundle Reconstruction From Single‐Shell Diffusion Magnetic Resonance Imaging: Test–Retest Reliability and Predictive Capability Across Orientation Distribution Function Reconstruction Methods
   Amelie Rauland, Steven L. Meisler, Aaron F. Alexander‐Bloch, Joëlle Bagautdinova, Erica B. Baller, Raquel E. Gur, Ruben C. Gur, Audrey C. Luo, Tyler M. Moore, Oleksandr V. Popovych et al. · 2025 · Human Brain Mapping
2. Feature selection leads to divergent neurobiological interpretations of brain-based machine learning biomarkers
   Brendan D. Adkinson, Matt Rosenblatt, Hui-Li Sun, J. Dadashkarimi, L. Tejavibulya, C. Horien, M. Westwater, R. Rodriguez, S. Noble, D. Scheinost · 2026 · Nature Human Behaviour
3. Transdiagnostic symptom networks in relation to mental health service use in community youth
   Marina N. Imperiale, R. Lieb, M. Calkins, G. Meinlschmidt · 2022 · Clinical Psychology and Psychotherapy
4. Roadmap for an imaging and modelling paediatric study in rural NZ
   Haribalan Kumar, Robby Green, Daniel Cornfeld, Paul Condron, Taylor Emsden, Ayah Elsayed, Debbie Zhao, Kat Gilbert, Martyn Peter Nash, Alys Rachel Clark et al. · 2023 · Frontiers in Physiology
5. Pathways from threat exposure to psychotic symptoms in youth: The role of emotion recognition bias and brain structure
   Megan Thomas, Sarah Whittle, Ye Tian, Tamsyn E. Van Rheenen, Andrew Zalesky, Vanessa Cropley · 2023 · Schizophrenia Research
6. Federated learning for cross-institution brain network analysis
   Xie Han, Yi‐Ching Yang, Hejie Cui, Carl Yang · 2024 · SPIE Medical Imaging: Computer-Aided Diagnosis
7. A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence
   Aiying Zhang, Gemeng Zhang, Biao Cai, Tony W. Wilson, Julia M. Stephen, Vince D. Calhoun, Yu‐Ping Wang · 2024 · Network Neuroscience
8. Estimation and Validation of the “c” Factor for Overall Cerebral Functioning in the Philadelphia Neurodevelopmental Cohort
   Tyler M. Moore, Monica E. Calkins, Daniel H. Wolf, Theodore Daniel Satterthwaite, Ran Barzilay, James Cobb Scott, Kosha Ruparel, Raquel E. Gur, Ruben C. Gur · 2025 · Applied Sciences
9. Longitudinal Development of Neurocognitive Functioning and Gray Matter Volume in Youths With Recurrent Psychosis Spectrum Symptoms.
   Ting Yat Wong, Tyler Moore, N. Hillman, Monica E. Calkins, Sarah S Shahriar, Tyler E. Dietterich, K. Ruparel, D. Roalf, D. Wolf, T. Satterthwaite et al. · 2025 · Schizophrenia bulletin
10. Transformation Invariant Control ofVoxel-Wise False Discovery Rate
    Junning Li, Yonggang Shi, Arthur W. Toga · 2016 · IEEE Transactions on Medical Imaging
11. PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies
    Chao‐Gan Yan, Qingyang Li, Lei Gao · 2015 · F1000Research
12. Classification model with weighted regularization to improve the reproducibility of neuroimaging signature selection
    Xin Niu, Jiangtao Gou, Hansoo Chang, Michael R. Lowe, Fengqing Zhang · 2022 · Statistics in Medicine
13. Expanding Our Lens: Thinking Beyond Genomics
    Jessica T. Mozersky, Shana D. Stites, Dominic A. Sisti · 2017 · The American Journal of Bioethics
14. Heritable cognitive and psychopathology factors in youth are predicted by brain fronto-temporal white matter pathway
    D. Alnæs, T. Kaufmann, N. T. Doan, A. Córdova-Palomera, Yun-Peng Wang, F. Bettella, T. Moberget, O. Andreassen, L. Westlye · 2017 · bioRxiv
15. Shared genetic etiology between obsessive-compulsive disorder, obsessive-compulsive symptoms in the population, and insulin signaling
    Janita Bralten, Joanna Widomska, Ward De Witte, Dongmei Yu, Carol A. Mathews, Jeremiah M. Scharf, Jan K. Buitelaar, Jennifer Crosbie, Russell James Schachar, Paul Daniel Arnold et al. · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
16. Template Independent Component Analysis: Targeted and Reliable Estimation of Subject-level Brain Networks using Big Data Population Priors
    Amanda F. Mejia, Mary Beth Nebel, Yikai Wang, Brian S. Caffo, Ying Guo · 2019 · arXiv (Cornell University)
17. LOCUS: A Novel Decomposition Method for Brain Network Connectivity Matrices using Low-rank Structure with Uniform Sparsity
    Yikai Wang, Ying Guo · 2020 · arXiv (Cornell University)
18. Effective and Interpretable fMRI Analysis via Functional Brain Network Generation
    Xuan Kan, Hejie Cui, Ying Guo, Carl Yang · 2021 · arXiv (Cornell University)
19. ModelArray: a memory-efficient R package for statistical analysis of fixel data
    Chen-Ying Zhao, Tinashe M. Tapera, Joëlle Bagautdinova, J. Bourque, S. Covitz, R. Gur, R. Gur, B. Larsen, Kahini Mehta, S. Meisler et al. · 2022 · bioRxiv
20. ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity
    Anton Orlichenko, Grant T. Daly, Yu‐Ping Wang, Anqi Liu, Hui Shen, Hong‐Wen Deng, Ziyu Zhou · 2023
21. Brain-phenotype predictions can survive across diverse real-world data
    Brendan D. Adkinson, Matthew Rosenblatt, Javid Dadashkarimi, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
22. fMRI Analysis of Brain Network Connectivity during Adolescence. Knowledge of Normotypic Brain Connectivity Patterns May Further Understanding of Aberrant Processes that Cause Psychiatric Illnesses
    Rosalind S.E. Carney · 2018 · eNeuro
23. Development and Maturation of the Human Brain, from Infancy to Adolescence
    Tomáš Paus · 2022 · Cambridge University Press eBooks
24. A lightweight generative model for interpretable subject-level prediction
    Chiara Mauri, Stefano Cerri, Oula Puonti, Mark Mühlau, Koen Van Leemput · 2024 · Medical Image Analysis
25. Graph Learning Based Functional Connectivity Estimation with Application to Brain Age Prediction
    Keyan Bai, Xiao Li · 2024 · 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC)
26. Causal Brain Connectivity: Integrating Granger Directed Graphs in fMRI Analysis
    Tianyi Zhang, Keqi Han, Jiawei Nie, Chenyu You, Sanne J.H. van Rooij, Jennifer Strafford Stevens, Boadie Waid Dunlop, Charles F. Gillespie, Carl Yang · 2025 · Lecture notes in computer science
27. MJNMF-GAT: Multi-Task Joint Non-Negative Matrix Factorization Graph Attention Network for Understanding Adolescent Neurodevelopment
    Binish Patel, T. Wilson, J. Stephen, V. Calhoun, Yu-Ping Wang · 2025 · IEEE Access
28. Assessing molecular, cellular and transcriptomic bases of laminar perfusion and cytoarchitecture coupling in the human cortex
    Fanhua Guo, Chenyang Zhao, Ravi R. Bhatt, Zixuan Liu, Andy Jeesu Kim, Zidong Yang, Siyi Xu, Kay Jann, Xingfeng Shao, Mara Mather et al. · 2026 · Nature Communications
29. BrainEffeX: A web app for exploring fMRI effect sizes
    Hallee Shearer, Matthew Rosenblatt, Jean Ye, Rongtao Jiang, Link Tejavibulya, Maya L. Foster, Qinghao Liang, Javid Dadashkarimi, Margaret L. Westwater, Catherine Cahill et al. · 2025 · Aperture Neuro
30. Genetic risk and transdiagnostic traits in anorexia nervosa, obsessive-compulsive disorder, and schizophrenia
    Stefana Aicoboaie, Edoardo Pappaianni, Mohamed Abdulkadir, Helena L. Davies, Nadia Micali · 2025 · Psychological Medicine
31. First establishment of population-specific brain volume reference standards for Chinese children and adolescents: an AI-based segmentation study
    Hangchen Qian, Jingyun Liao, Jihao Cheng · 2025 · Frontiers in Pediatrics
32. Developmental Connectomics from a “Big Data” Perspective
    Yuehua Xu, Teng-Da Zhao, Mingrui Xia, Xu-Hong Liao · 2025 · Journal of Pacific Rim Psychology
33. Anatomical white matter tracts span the cortical hierarchy to support cognitive diversity
    Joëlle Bagautdinova, Golia Shafiei, Audrey C. Luo, Margaret K. Pecsok, Taylor Salo, Aaron F. Alexander‐Bloch, Dani S. Bassett, Margaret E. Gardner, Raquel E. Gur, Ruben C. Gur et al. · 2026 · Nature Human Behaviour
34. Associations Between Youth Marijuana and Alcohol Use, Neurocognitive Performance, and Triple-Network Resting-State Connectivity
    S. Blyth, Lauren D. Hill, Anna S. Huang, Neil D. Woodward, Baxter P. Rogers, Simon N. Vandekar, H. Ward · 2026 · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
35. What we have learned about adolescent mental health and where we are going after a decade with the Adolescent Brain Cognitive Development Study
    Arielle Ryan Baskin-sommers, Dominic Gearing, Jivesh Ramduny, Ziwei Zhang, Nick Townsend, Calvin Dupree, Charlotte Fink, Lily Horenkamp, Nicole R. Karcher, Herry Patel et al. · 2026 · Developmental Cognitive Neuroscience
36. PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies
    Chao‐Gan Yan, Qingyang Li, Lei Gao · 2014 · F1000Research
37. Pattern recognition of functional brain networks
    Yong Fan A, Christos A. Davatzikos · 2017 · IEEE International Conference on Acoustics Speech and Signal Processing
38. A hybrid correlation analysis with application to imaging genetics
    Jian Fang, Wenxing Hu, Vince D. Calhoun, Yu‐Ping Wang · 2018 · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
39. Multi-scale systems genomics analysis predicts pathways, cell types, and drug targets involved in normative variation in peri-adolescent human cognition
    Shraddha Pai, Shirley Hui, Philipp Weber, Soumil Narayan, Owen Whitley, Peipei Li, Viviane Labrie, Jan Baumbach, Anne L. Wheeler, Gary D. Bader · 2023 · Cerebral Cortex
40. Gradient-Based Enhancement Attacks in Biomedical Machine Learning
    Matthew Rosenblatt, Javid Dadashkarimi, Dustin Scheinost · 2023 · Lecture notes in computer science
41. Cognitive Control, the Anterior Cingulate, and Nicotinic Receptors: A Case of Heterozygote Advantage
    Jason Smucny · 2018 · Journal of Neuroscience
42. Fast network discovery on sequence data via time-aware hashing
    Tara Safavi, Chandra Sripada, Danai Koutra · 2018 · Knowledge and Information Systems
43. Multiscale comparative connectomics
    Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford, Benjamin D. Pedigo, Jesús Arroyo, Lucy Upchurch, G. Allan Johnson, Nian Wang, Youngser Park, Carey E. Priebe et al. · 2025 · Imaging Neuroscience
44. BraceNet: Graph-Embedded Neural Network For Brain Network Analysis
    Xuan Kan, Yunchuan Kong, Tianwei Yu, Ying Guo · 2022 · IEEE International Conference on Big Data (BigData)
45. Cortical area and subcortical volume mediate the effect of parental education and adverse experiences on cognitive performance in youth
    C. Mehta, Jeffrey G. Malins, K. Noble, J. Gruen · 2017 · bioRxiv
46. Brain Iron Mediates the Relationship Between Cognition and Neighborhood Socioeconomic Status in Youth
    Lauren M. Beard, David R. Roalf, Mark A. Elliott, Karthik Prabhakaran, Tyler M. Moore, Raquel E. Gur, Theodore Daniel Satterthwaite · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
47. Cerebellar grey matter volume is associated with cognitive function and psychopathology in adolescence
    T. Moberget, D. Alnæs, T. Kaufmann, N. T. Doan, A. Córdova-Palomera, L. Norbom, J. Rokicki, D. van der Meer, O. Andreassen, L. Westlye · 2018 · bioRxiv
48. A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms
    Xiao Li, J. Stephen, T. Wilson, V. Calhoun, Yu-Ping Wang · 2019 · arXiv (Cornell University)
49. Unifying Modular and Core-Periphery Structure in Functional Brain Networks over Development
    Shi Gu, Cedric Huchuan Xia, Rastko Ćirić, Tyler M. Moore, Ruben C. Gur, Raquel E. Gur, Theodore Daniel Satterthwaite, Danielle S. Bassett · 2019 · arXiv (Cornell University)
50. Brain Maturation Study during Adolescence Using Graph Laplacian Learning Based Fourier Transform.
    Jun-Qi Wang, Li Xiao, T. Wilson, J. Stephen, V. Calhoun, Yu-Ping Wang · 2019 · arXiv (Cornell University)
51. Thresholded Partial Least Squares: Fast Construction of Interpretable Whole-brain Decoders
    Sangil Lee, Eric T. Bradlow, Joseph W. Kable · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
52. Individual Differences in Delay Discounting are Associated with Dorsal Prefrontal Cortex Connectivity in Youth
    Kahini Mehta, A. Pines, A. Adebimpe, B. Larsen, D. Bassett, M. Calkins, Erica B. Baller, Martin Gell, Lauren M. Patrick, Raquel E. Gur et al. · 2023 · bioRxiv
53. Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
    Anton Orlichenko, Gang Qu, Kuan‐Jui Su, Anqi Liu, Hui Shen, Hong‐Wen Deng, Yu‐Ping Wang · 2023
54. Combining Data Across Methodologies and Continents to Test a Mechanistic Hypothesis: Setting Up the Future
    Raquel E. Gur · 2015 · Biological Psychiatry
55. The Emergence and Underlying Neurobiology of Psychosis
    Raquel E. Gur, Ruben C. Gur · 2016 · Elsevier eBooks
56. Neurodevelopmental Genomic Strategies in the Study of the Psychosis Spectrum
    Raquel E. Gur · 2016 · Nebraska Symposium on Motivation/The Nebraska symposium on motivation
57. A Bayesian Mixture Model for Clustering on the Stiefel Manifold
    Subhajit Sengupta, Subhadip Pal, Riten Mitra, Ying Guo, Arunava Banerjee, Yuan Ji · 2017 · arXiv (Cornell University)
58. Multifactorial Dynamics of White Matter Connectivity During Adolescence
    Birkan Tunç, Drew Parker, Russell Taki Shinohara, Mark A. Elliott, Kosha Ruparel, Raquel E. Gur, Ruben C. Gur, Ragini Verma · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
59. Tracking the development of brain connectivity in adolescence through a fast Bayesian integrative method
    Aiying Zhang, Bochao Jia, Yu‐Ping Wang · 2018 · SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications
60. Adolescent Brain Development and Implications for Adolescents with Allergies
    Amy L. Hahn, Jessica Hoehn · 2018 · Springer eBooks
61. Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure
    S. Vandekar, T. Satterthwaite, C. Xia, K. Ruparel, R. Gur, R. Gur, R. Shinohara · 2018 · arXiv (Cornell University)
62. The illumination of the developing brain: Using MRI signal intensity contrasts to probe microstructural brain maturation, and associations with psychopathology and cognition
    Linn Bonaventure Norbom · 2019 · NORA - Norwegian Open Research Archives
63. Causal inference of brain connectivity from fMRI with ψ-Learning Incorporated Linear non-Gaussian Acyclic Model (ψ-LiNGAM)
    Ai-Ying Zhang, Ge-Meng Zhang, Biao Cai, Wen-Xing Hu, Li Xiao, T. Wilson, J. Stephen, V. Calhoun, Yu-Ping Wang · 2020 · arXiv.org
64. Unsupervised deep learning for individualized brain functional network identification
    Hongming Li, Yong Fan A · 2020 · arXiv (Cornell University)
65. Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability prediction
    Gang Qu, Li Xiao, Wenxing Hu, Kun Zhang, Vince D. Calhoun, Yu‐Ping Wang · 2021 · arXiv (Cornell University)
66. Multi-scale systems genomics analysis predicts pathways, cell types and drug targets involved in normative human cognition variation
    Shraddha Pai, Shirley Hui, Philipp Weber, Soumil Narayan, Owen Whitley, Peipei Li, Viviane Labrie, Jan Baumbach, Gary D. Bader · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
67. Association between Neighborhood Socioeconomic Status and Executive System Activation in Youth
    Kristin Murtha, Bart Larsen, A. Pines, Linden Parkes, Tyler M. Moore, A. Adebimpe, A. Alexander-Bloch, M. Calkins, Diego Davila, M. Lindquist et al. · 2021 · bioRxiv
68. New Statistical Methods for Evaluating Brain Functional Connectivity
    Emily L. Morris · 2021 · Deep Blue (University of Michigan)
69. Gaining Control
    Pascal Pas · 2021
70. Developmental Coupling of Cerebral Blood Flow and fMRI Fluctuations in Youth
    Erica B. Baller, Alessandra M. Valcarcel, Azeez Adebimpe, Aaron F. Alexander‐Bloch, Zaixu Cui, Ruben C. Gur, Raquel E. Gur, Bart Larsen, Kristin A. Linn, Carly M. O’Donnell et al. · 2021 · SSRN Electronic Journal
71. Choice of Parcellation Atlas Might Not be Too Critical for Connectomic Analysis
    Steven C. Nesbit, Drew Parker, Ragini Verma, Yusuf Osmanlıoğlu · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
72. Angle Basis: a Generative Model and Decomposition for Functional Connectivity
    Anton Orlichenko, Gang Qu, Ziyu Zhou, Zhengming Ding, Yu‐Ping Wang · 2023
73. Age-associated alterations in thalamocortical structural connectivity in psychosis-spectrum youths
    Lydia Lewis, Mary Corcoran, Kang Ik K. Cho, YooBin Kwak, Rebecca A. Hayes, Maria Jalbrzikowski · 2023 · medRxiv
74. Identifiability in Functional Connectivity May Unintentionally Inflate Prediction Results
    Anton Orlichenko, Gang Qu, Kuan‐Jui Su, Anqi Liu, Hui Shen, Hong‐Wen Deng, Yu‐Ping Wang · 2023
75. Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
    Anton Orlichenko, Kuan‐Jui Su, Tian, Qing, Hui Shen, Hong‐Wen Deng, Yu‐Ping Wang · 2023 · PubMed
76. p Net: A toolbox for personalized functional networks modeling
    Yuncong Ma, Hongming Li, Zhen Zhou, Xiaoyang Chen, Liang Ma, Güray Erus, Nicholas L. Balderston, Desmond J. Oathes, Russell Taki Shinohara, Daniel H. Wolf et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
77. Nothing but lies: improving the validity of neural predictors of deception
    Sangil Lee, Runxuan Niu, Lusha Zhu, Andrew S. Kayser, Ming Chieh Hsu · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
78. A Demographic-Conditioned Variational Autoencoder for Removal of Confounds from fMRI Data
    Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong‐Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D Calhoun, Yu-Ping Wang · 2024
79. A Demographic-Conditioned Variational Autoencoder for fMRI Distribution Sampling and Removal of Confounds
    Anton Orlichenko, Gang Qu, Ziyu Zhou, Anqi Liu, Hong‐Wen Deng, Zhengming Ding, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
80. Unveiling hidden sources of dynamic functional connectome through a novel regularized blind source separation approach
    Jia-Lu Ran, Yi-Kai Wang, Ying Guo · 2024 · Imaging Neuroscience
81. Imaging in neurodevelopmental disorders
    R. H. Talwekar, Priyanka Bibay Thakkar · 2024 · Elsevier eBooks
82. Overlooked features lead to divergent neurobiological interpretations of brain-based machine learning biomarkers
    Brendan D. Adkinson, M. Rosenblatt, Hui-Li Sun, J. Dadashkarimi, L. Tejavibulya, C. Horien, M. Westwater, R. Rodriguez, S. Noble, D. Scheinost · 2025 · bioRxiv
83. Optimizing Biophysical Large-Scale Brain Circuit Models With Deep Neural Networks
    Tianchu Zeng, Tian Fang, Shaoshi Zhang, Xin Li, Ai Peng Tan, Bart Larsen, Sina Mansour L., Fang Ji, Joanna Su Xian Chong, Kwong Hsia Yap et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
84. Effective workflow from multimodal MRI data to model-based prediction
    Kyesam Jung, Kevin J. Wischnewski, Simon Bodo Eickhoff, Oleksandr V. Popovych · 2025 · Scientific Reports
85. Microstructural Plasticity
    Paul Camacho, Ramsey R. Wilcox, Aron Keith Barbey, Bradley P. Sutton · 2025 · Oxford University Press eBooks
86. Benchmarking Orientation Distribution Function Estimation Methods for Tractometry in Single-Shell Diffusion Magnetic Resonance Imaging - An Evaluation of Test-Retest Reliability and Predictive Capability
    Amelie Rauland, Steven L. Meisler, Aaron F. Alexander‐Bloch, Joëlle Bagautdinova, Erica B. Baller, Raquel E. Gur, Ruben C. Gur, Audrey C. Luo, Tyler M. Moore, Oleksandr V. Popovych et al. · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
87. A group distributional ICA method for decomposing multi-subject diffusion tensor imaging
    Guangming Yang, Ben Wu, Jian Kang, Ying Guo · 2025 · Biometrics
88. Cannabis use and glutamate across the psychosis spectrum: in vivo evidence from 7T proton magnetic resonance spectroscopy
    David R. Roalf, Tyler M. Moore, Jacquelyn Stifelman, Maggie K. Pecsok, Ally Atkins, Erica B. Baller, Monica E. Calkins, Mariella De Biasi, Christian G. Kohler, Christina Mastracchio et al. · 2026 · Molecular Psychiatry
89. The development of BNST intrinsic functional connectivity from 8 to 23 years of age: A PNC cohort study
    Elizabeth A. Flook, Nicole L. Zabik, Brandee Feola, Baxter P. Rogers, J. Blackford · 2025 · Developmental Cognitive Neuroscience
90. Additional file 1 of Dorsal visual stream and LIMK1: hemideletion, haplotype, and enduring effects in children with Williams syndrome
    J. Shane Kippenhan, Michael D. Gregory, Tiffany A. Nash, Philip D. Kohn, Carolyn Β. Mervis, Daniel Paul Eisenberg, Madeline H. Garvey, Katherine V. Roe, Colleen A. Morris, Kolachana, Bhaskar et al. · 2023 · Figshare
91. Connectome-based predictive modeling of concurrent and longitudinal substance use vulnerability in adolescence
    João F. Guassi Moreira, N. Allgaier, Micah E. Johnson, Alexandra Potter, Hugh P. Garavan, D. Fair · 2026 · Developmental Cognitive Neuroscience
92. Testing for Network Specificity in Brain‐Behavior Associations Using Ordinal Dominance Curves
    N. Hillman, S. M. Weinstein, Joëlle Bagautdinova, Kevin Y. Sun, M. Cieslak, T. Salo, Yong Fan, Arielle S. Keller, Aaron Alexander-Bloch, S. Vandekar et al. · 2026 · Human Brain Mapping
93. Revamping neuroimaging analysis to reveal biomarkers of adolescent mental health
    Erica L. Busch, Nicholas B. Turk‐Browne, Arielle Ryan Baskin-sommers · 2026 · Nature Mental Health
94. Dual attention multi-view multi-task learning for cognitive prediction from brain functional connectivity
    Ruike Cao, Gang Qu, Li Xiao · 2026 · Journal of Information and Intelligence
95. Functional connectivity correlates of the hierarchical p-factor model in youth at neurodevelopmental risk
    Rebeca Ianov Vitanov, Danyal Akarca, CALM Team, Sarah Elizabeth Morgan, Jonathan Spencer Jones · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
96. Mapping corpus callosum architecture: developmental, genetic, and cognitive correlates in youth
    Vanessa Siffredi, Léa Schmidt, Robin J. Hofmeister, Jonathan Patino Lopez, Zoltán Kutalik, Jonas Richiardi · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
97. Modeling Complex Effects and Individual Variability in Multi-Paradigm fMRI with Nonlinear Mixed Models
    Xiao-Xuan Li, Ge-Meng Zhang, Gang Qu, Anton Orlichenko, Zheng-Ming Ding, Tony W. Wilson, J. Stephen, V. Calhoun, Yu-Ping Wang · 2026 · bioRxiv
98. White-matter functional connectivity uniquely predicts brain age, cognition, and psychopathology beyond gray-matter connectivity
    Jing Cong, Shaoling Zhao, Haoshu Xu, Xiaoyu Xu, Chao Li, Hongming Li, Ting Xu, Yang Li, Hang Yang, Zaixu Cui · 2026 · Proceedings of the National Academy of Sciences
99. Large-Scale Open Science Simulated Data to Study the Development of Brain and Behavior Relationships: Epidemiologic, Clinical, and Neuroimaging Characteristics
    Tonya White, Neda Sadeghi, Luke J. Norman, V. Calhoun, Philip Shaw · 2026 · Aperture Neuro
100. Longitudinal change in resting-state functional brain connectivity associated with secondary sexual characteristics between ages 11 and 13 years
     Susumu Morita, Kiyoto Kasai, Masahiro Kiyota, Shunsuke Mori, Eimu Shoji, Favour Omileke, Shinsuke Koike, Shuntaro Ando, Syudo Yamasaki, Atsushi Nishida et al. · 2026 · Neuroscience Research