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Using network control theory to study the dynamics of the structural connectomePreprint

Parkes, L., Kim, J. Z., Stiso, J., Brynildsen, J. K., Cieslak, M., Covitz, S. C., Gur, R. E., Gur, R. C., Pasqualetti, F., Shinohara, R. T., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.23.554519 · Cited by 12 · see citing works

Tourette syndrome research highlights from 2018

Rose, O., Hartmann, A., Worbe, Y., Scharf, J. M., & BLACK, K. J. (2019) · F1000Research · doi:10.12688/f1000research.19542.1 · Cited by 11 · see citing works

Widespread effects of dMRI data quality on diffusion measures in children

Koirala, N., Kleinman, D., Perdue, M. V., Su, X., Villa, M., Grigorenko, E. L., & Landi, N. (2021) · Human Brain Mapping · doi:10.1002/hbm.25724 · Cited by 10 · see citing works

The impact of quality control on cortical morphometry comparisons in autism

Bedford, S. A., Ortiz-Rosa, A., Schabdach, J., Costantino, M., Tullo, S., Piercy, T., Lai, M., Lombardo, M. V., Martino, A. D., Devenyi, G. A., et al. (2023) · Imaging Neuroscience · doi:10.1162/imag_a_00022 · Cited by 10 · see citing works

Psychosis risk is associated with decreased white matter integrity in limbic network corticostriatal tracts

Straub, K. T., Hua, J. P. Y., Karcher, N. R., & Kerns, J. G. (2020) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2020.111089 · Cited by 10 · see citing works

Bilingual Language Control in the Brain: Evidence from Structural and Effective Functional Brain Connectivity

Wang, G., & Tao, L. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02128 · Cited by 9 · see citing works

Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video

Pardoe, H., Martin, S. P., Zhao, Y., George, A., Yuan, H., Zhou, J., Liu, W., & Devinsky, O. (2021) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2021.06.010 · Cited by 8 · see citing works

Motion During Acquisition is Associated With fMRI Brain Entropy

de Vries, C. F., Staff, R. T., Waiter, G. D., Sokunbi, M. O., Sandu, A., & Murray, A. D. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2907189 · Cited by 8 · see citing works

Developmental patterns of inhibition and fronto‐basal‐ganglia white matter organisation in healthy children and children with attention‐deficit/hyperactivity disorder

Singh, M., Skippen, P., He, J. L., Thomson, P., Fuelscher, I., Caeyenberghs, K., Anderson, V., Hyde, C., & Silk, T. (2024) · Human Brain Mapping · doi:10.1002/hbm.70010 · Cited by 6 · see citing works

Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder

Wang, P., Bai, Y., Xiao, Y., Zheng, Y., Sun, L., Wang, J., & Xue, S. (2024) · Journal of Zhejiang University SCIENCE B · doi:10.1631/jzus.b2300880 · Cited by 6 · see citing works

Age Trajectories of the Structural Connectome in Child and Adolescent Offspring of Individuals With Bipolar Disorder or Schizophrenia

Poortman, S. R., Barendse, M. E. A., Setiaman, N., van den Heuvel, M. P., de Lange, S. C., Hillegers, M. H. J., & van Haren, N. E. M. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100336 · Cited by 6 · see citing works

Outlier detection for multi-network data

Dey, P., Zhang, Z., & Dunson, D. B. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac431 · Cited by 6 · see citing works

Changes in MRI head motion across development: typical development and ADHD

Thomson, P., Loosley, V., Friedel, E., & Silk, T. J. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00910-w · Cited by 5 · see citing works

Weak and unstable prediction of personality from the structural connectome

Rauland, A., Jung, K., Satterthwaite, T. D., Cieslak, M., Reetz, K., Eickhoff, S. B., & Popovych, O. V. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00416 · Cited by 5 · see citing works

Population Atlas Analysis of Emerging Brain Structural Connections in the Human Fetus

Calixto, C. A., Machado‐Rivas, F., Karimi, D., Velasco‐Annis, C., Cortés-Albornoz, M. C., Afacan, O., Warfield, S. K., Gholipour, A., & Jaimes, C. E. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.29057 · Cited by 5 · see citing works

Identifying interindividual variability of social perception and associated brain anatomical correlations in children with autism spectrum disorder using eye-tracking and diffusion tensor imaging MRI (DTI-MRI)

Vinçon-Leite, A., Saitovitch, A., Lemaître, H., Rechtman, E., Boisgontier, J., Fillon, L., Philippe, A., Rio, M., Desguerre, I., Fabre, A., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad434 · Cited by 5 · see citing works

Coming up short: Generative network models fail to accurately capture long-range connectivity

Oldham, S., Fornito, A., & Ball, G. (2025) · Network Neuroscience · doi:10.1162/netn.a.35 · Cited by 5 · see citing works

Power in network neurosciencePreprint

Helwegen, K., Libedinsky, I., & van den Heuvel, M. P. (2022) · doi:10.31234/osf.io/8bu2j · Cited by 5 · see citing works

Multivariate links between the developmental timing of adversity exposure and white matter tract integrity in adulthoodPreprint

Sisk, L. M., Keding, T. J., Cohodes, E. M., McCauley, S., Pierre, J. C., Odriozola, P., Kribakaran, S., Haberman, J. T., Zacharek, S. J., Hodges, H. R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.12.566271 · Cited by 5 · see citing works

Effect of Magnetic Resonance Image Quality on Structural and Functional Brain Connectivity: The Maastricht Study

de Jong, J. J. A., Jansen, J. F. A., Vergoossen, L. W. M., Schram, M. T., Stehouwer, C. D. A., Wildberger, J. E., Linden, D. E. J., & Backes, W. H. (2024) · Brain Sciences · doi:10.3390/brainsci14010062 · Cited by 4 · see citing works

White matter properties in fronto-parietal tracts predict maladaptive functional activation and deficient response inhibition in ADHD

Smullen, D., Bagshaw, A. P., Shalev, L., Tsafrir, S., Kolodny, T., & Mevorach, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-02326-y · Cited by 4 · see citing works

An afferent white matter pathway from the pulvinar to the amygdala facilitates fear recognitionPreprint

McFadyen, J., Mattingley, J. B., & Garrido, M. I. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/277368 · Cited by 4 · see citing works

Advantages of Multi-shell Diffusion for Studies of Brain Development in YouthPreprint

Pines, A. R., Cieslak, M., Baum, G. L., Cook, P. A., Adebimpe, A., Dávila, D. G., Elliott, M. A., Jirsaraie, R. J., Murtha, K. A., Oathes, D. J., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/611590 · Cited by 4 · see citing works

Graded Variation In Cortical T1w/T2w Myelination During AdolescencePreprint

Baum, G. L., Flournoy, J. C., Glasser, M. F., Harms, M. P., Mair, P., Sanders, A. F. P., Barch, D. M., Buckner, R. L., Bookheimer, S. Y., Dapretto, M., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.06.471432 · Cited by 4 · see citing works

Motion-invariant variational autoencoding of brain structural connectomes

Zhang, Y., Liu, M., Zhang, Z., & Dunson, D. B. (2024) · Imaging Neuroscience · doi:10.1162/imag_a_00303 · Cited by 3 · see citing works

Along-tract white matter abnormalities and their clinical associations in recent-onset and chronic schizophrenia

Joo, S. W., Park, H., Park, J., & Lee, J. S. (2025) · Schizophrenia · doi:10.1038/s41537-025-00586-1 · Cited by 4 · see citing works

Offline coil position denoising enhances detection of TMS effectsPreprint

Claudino, L., Hussain, S. J., Buch, E. R., & Cohen, L. G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/256081 · Cited by 3 · see citing works

The Effect of MR Image Quality on Structural and Functional Brain Connectivity: The Maastricht StudyPreprint

de Jong, J. J. A., Jansen, J. F. A., Vergoossen, L. W. M., Schram, M. T., Stehouwer, C. D. A., Wildberger, J. E., Linden, D. E. J., & Backes, W. H. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/806075 · Cited by 3 · see citing works

An explainable multimodal artificial intelligence model for classifying suicide attempters with borderline personality disorder: a pilot study

Crema, C., Boccali, A., Martinelli, A., Francesco, S. D., Meloni, S., Baronio, C. M., Gasparotti, R., Pedrini, L., Lanfredi, M., Pievani, M., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-31550-9 · Cited by 3 · see citing works

Facilitating diffusion tensor imaging of the brain during continuous gross head motion with first and second order motion compensating diffusion gradients

Kara, D., Koenig, K. A., Lowe, M. J., Nguyen, C. T., & Sakaie, K. (2023) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29924 · Cited by 2 · see citing works

Impact of COVID-19 School Closures on White Matter Plasticity in the Reading Network

Blockmans, L., Hoeft, F., Wouters, J. M., Ghesquière, P., & Vandermosten, M. (2024) · Neurobiology of Language · doi:10.1162/nol_a_00158 · Cited by 3 · see citing works

Advancing Thalamic Nuclei Segmentation: The Impact of Compressed Sensing on MRI Processing

Hübner, S., Tambalo, S., Novello, L., Hilbert, T., Kober, T., & Jovicich, J. (2024) · Human Brain Mapping · doi:10.1002/hbm.70120 · Cited by 2 · see citing works

Neurobiology and Functional Anatomy of Tic Disorders

Greene, D. J., Kim, S., BLACK, K. J., & Schlaggar, B. L. (2022) · Oxford University Press eBooks · doi:10.1093/med/9780197543214.003.0014 · Cited by 2 · see citing works

The impact of susceptibility correction on diffusion metrics in adolescents

Lahti, K., Parkkola, R. K., Jääsaari, P., Haataja, L. M., Saunavaara, V., On behalf of the PIPARI Study Group, Ahtola, A., Ekblad, M. O., Ekblad, S., Ekholm, E. M. K., et al. (2021) · Pediatric Radiology · doi:10.1007/s00247-021-05000-3 · Cited by 2 · see citing works

Precision Diffusion ImagingPreprint

Seider, N. A., Adeyemo, B., Miller, R. L., Newbold, D. J., Hampton, J. M., Scheidter, K. M., Rutlin, J. R., Laumann, T. O., Roland, J. L., Montez, D. F., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.19.432023 · Cited by 2 · see citing works

The structure of hippocampal circuitry relates to rapid category learning in humansPreprint

Schlichting, M. L., Gumus, M., Zhu, T., & Mack, M. L. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.14.444187 · Cited by 2 · see citing works

Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross‐Sectional Datasets Across the Lifespan

Schilling, K. G., Ramadass, K., Sairanen, V., Kim, M. E., Rheault, F., Newlin, N. R., Nguyen, T., Barquero, L. A., D’Archangel, M. A., Gao, C., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70143 · Cited by 1 · see citing works

The multiple indicator multiple cause model for cognitive neuroscience: An analytic tool which emphasizes the behavior in brain–behavior relationships

Rosen, A. F. G., Auger, E., Woodruff, N., Proverbio, A. M., Song, H., Ethridge, L. E., & Bard, D. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.943613 · Cited by 1 · see citing works

Diffusion Tensor Imaging: A Step-by-Step Guide for Radiology and Neurology Clerkship Students, Residents, and Graduate Students Using Clinical Research Examples

Goodman, M., Richerson, W. T., & Wolfgram, D. F. (2023) · Medical Student Research Journal · doi:10.15404/msrj/05.2023.234 · Cited by 1 · see citing works

Machine learning in connectomics: from representation learning to model fitting

Ktena, S. I., Sotiras, A., & Ferrante, E. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85280-7.00005-1 · Cited by 1 · see citing works

Impact of Imposter Phenomenon on Medical Learners and Clinicians: A Scoping Review

(2023) · Medical Student Research Journal · doi:10.15404/msrj/09.2023.251 · Cited by 1 · see citing works

Multi-modality conditioned variational U-net for field-of-view extension in brain diffusion MRI

Li, Z., Gao, C., Kanakaraj, P., Bao, S., Zuo, L., Kim, M. E., Newlin, N. R., Rudravaram, G., Khairi, N. M., Huo, Y., et al. (2026) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2026.110617 · Cited by 1 · see citing works

Biophysical compartment models for single-shell diffusion MRI in the human brain: a model fitting comparison

Davis, A. D., Hassel, S., Arnott, S. R., Hall, G. B., Harris, J. K., Zamyadi, M., Downar, J. H., Frey, B. N., Lam, R. W. M., Kennedy, S. H., et al. (2021) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ac46de · Cited by 2 · see citing works

The Impact of In-Scanner Head Motion on Structural Connectivity Derived from Diffusion Tensor ImagingPreprint

Baum, G. L., Roalf, D., Cook, P. A., Ciric, R., Rosen, A. F. G., Xia, C., Elliot, M., Ruparel, K., Verma, R., Tunç, B., et al. (2017) · bioRxiv · doi:10.1101/185397 · Cited by 6 · see citing works

Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth

Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works

In‐scanner head motion and structural covariance networks

Pardoe, H., & Martin, S. P. (2022) · Human Brain Mapping · doi:10.1002/hbm.25957 · Cited by 11 · see citing works

The efficacy of different preprocessing steps in reducing motion-related confounds in diffusion MRI connectomics

Oldham, S., Arnatkevičiūtė, A., Smith, R. E., Tiego, J., Bellgrove, M. A., & Fornito, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117252 · Cited by 60 · see citing works

Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross‐Sectional Datasets Across the Lifespan

Schilling, K. G., Ramadass, K., Sairanen, V., Kim, M. E., Rheault, F., Newlin, N. R., Nguyen, T., Barquero, L. A., D’Archangel, M. A., Gao, C., et al. (2025) · Human Brain Mapping · doi:10.1002/hbm.70143 · Cited by 1 · see citing works