Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

A global optimisation method for robust affine registration of brain images

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Multimodality image registration by maximization of mutual information

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Movement‐Related effects in fMRI time‐series

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Spatial registration and normalization of images

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Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space

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A survey of medical image registration

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Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data

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MRI-PET Registration with Automated Algorithm

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Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

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Recent Developments in Nonparametric Density Estimation

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Temporal dynamics of the pharmacological MRI response to subanaesthetic ketamine in healthy volunteers: A simultaneous EEG/fMRI study

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Gut proinflammatory bacteria is associated with abnormal functional connectivity of hippocampus in unmedicated patients with major depressive disorder

Xiao, S., Yang, Z., Yan, H., Chen, G., Zhong, S., Chen, P., Zhong, H., Yang, H., Jia, Y., Yin, Z., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03012-9 · Cited by 23

White matter microstructure correlates with mathematics but not word reading performance in 13-year-old children born very preterm and full-term

Collins, S. E., Spencer-Smith, M., Mürner-Lavanchy, I., Kelly, C. E., Pyman, P., Pascoe, L., Cheong, J., Doyle, L. W., Thompson, D. K., & Anderson, P. J. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.101944 · Cited by 22

FDA cigarette warning labels lower craving and elicit frontoinsular activation in adolescent smokers

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Inferior frontal and insular cortical thinning is related to dysfunctional brain activation/deactivation during working memory task in schizophrenic patients

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Motion correction and volumetric reconstruction for fetal functional magnetic resonance imaging data

Sobotka, D., Ebner, M., Schwartz, E., Nenning, K.-H., Taymourtash, A., Vercauteren, T., Ourselin, S., Kasprian, G., Prayer, D., Langs, G., et al. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119213 · Cited by 20

A fetal fMRI specific motion correction algorithm using 2nd order edge features

Scheinost, D., Onofrey, J. A., Kwon, S. H., Cross, S. N., Sze, G., Ment, L. R., & Papademetris, X. (2018) · 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) · doi:10.1109/isbi.2018.8363807 · Cited by 19

Differential hemispheric predilection of microstructural white matter and functional connectivity abnormalities between respectively semantic and behavioral variant frontotemporal dementia

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Structural-functional brain network coupling during cognitive demand reveals intelligence-relevant communication strategies

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Maternal psychological distress associates with alterations in resting‐state low‐frequency fluctuations and distal functional connectivity of the neonate medial prefrontal cortex

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Unresolved–disorganized attachment adjusted for a general psychopathology factor associated with atypical amygdala resting-state functional connectivity

van Hoof, M.-J., Riem, M. M. E., Garrett, A. S., van der Wee, N. J. A., van IJzendoorn, M. H., & Vermeiren, R. R. J. M. (2019) · European Journal of Psychotraumatology · doi:10.1080/20008198.2019.1583525 · Cited by 14

An investigation of twenty/20 vision in reading

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Contribution of oxytocin receptor polymorphisms to amygdala activation in schizophrenia spectrum disorders

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A distributed subcortical circuit linked to instrumental information-seeking about threat

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Tensor Image Registration Library: Automated Non-Linear Registration of Sparsely Sampled Histological Specimens to Post-Mortem MRI of the Whole Human Brain

Huszar, I. N., Pallebage-Gamarallage, M., Foxley, S., Tendler, B. C., Leonte, A., Hiemstra, M., Mollink, J., Smart, A., Bangerter-Christensen, S., Brooks, H., et al. (2019) · doi:10.1101/849570 · Cited by 11

In Vivo Imaging of Blood-Brain Barrier Leakage Using a Contrast Agent in Patients With Cerebral Amyloid Angiopathy: An Exploratory Study

van den Brink, H., Kozberg, M. G., Makkinejad, N., Kirsch, J. E., Thrippleton, M. J., van Harten, T. W., Voigt, S., Freeze, W. M., Van Osch, M. J. P., Viswanathan, A., et al. (2025) · Neurology · doi:10.1212/wnl.0000000000214336 · Cited by 11

The neurobehavioral mechanisms of motivational control in attention-deficit/hyperactivity disorder

Ceceli, A. O., Natsheh, J. Y., Cruz, D., & Tricomi, E. (2020) · Cortex · doi:10.1016/j.cortex.2020.02.009 · Cited by 9

Think Like an Expert: Neural Alignment Predicts Understanding in Students Taking an Introduction to Computer Science Course

Meshulam, M., Hasenfratz, L., Hillman, H., Liu, Y.-F., Nguyen, M., Norman, K. A., & Hasson, U. (2020) · doi:10.1101/2020.05.05.079384 · Cited by 85

Associations between connectivity in functional brain networks and gait speed in older adults with and without multiple sclerosis

Nayak, S., Wagshul, M. E., Foley, F. W., Motl, R. W., & Holtzer, R. (2025) · Journal of Neurology · doi:10.1007/s00415-025-12955-y · Cited by 6

Correlation ratio based volume image registration on GPUs

Li, A., Kumar, A., Ha, Y., & Corporaal, H. (2015) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2015.04.002 · Cited by 6

Non-replication of functional connectivity differences in autism spectrum disorder across multiple sites and denoising strategies

He, Y., Byrge, L., & Kennedy, D. P. (2019) · doi:10.1101/640797 · Cited by 10

Dendrite complexity of the posterior cingulate cortex as a substrate for recovery from post-stroke depression: A pilot study

Yasuno, F., Ando, D., Yamamoto, A., Koshino, K., & Yokota, C. (2019) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2019.01.015 · Cited by 6

High-dimensional structure underlying individual differences in naturalistic visual experience

Han, C., & Bonner, M. F. (2026) · Current Biology · doi:10.1016/j.cub.2025.12.039 · Cited by 5

Connectome-based brain fingerprints predict early cognitive decline in Parkinson’s patients with minor hallucinations

Stampacchia, S., Bernasconi, F., Van De Ville, D., Amico, E., Pagonabarraga, J., Kulisevsky, J., & Blanke, O. (2025) · doi:10.1101/2025.04.17.649310 · Cited by 5

Skeletal muscle microvascular function in girls with Turner syndrome

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Exploring the neural basis of reaction time variability in ADHD: The importance of examining data at the trial level

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Are prediction error modifications domain specific in autism but domain general in ADHD?

Plank, I. S., Yurova, A., Pior, A., Nowak, J., Bierlich, A. M., Papazov, B., Shi, Z., & Falter-Wagner, C. M. (2025) · Imaging neuroscience · doi:10.1162/imag.a.942 · Cited by 3

Activity in human dorsal raphe nucleus signals changes in behavioural policy

Priestley, L., Mahmoodi, A., Reith, W. D., Khalighinejad, N., & Rushworth, M. F. S. (2026) · Nature Communications · doi:10.1038/s41467-026-68349-9 · Cited by 3

Two prefrontal-subcortical circuits estimate controllability and reflect its impact on learning

Liu, Y., Spiering, L., Luo, S., Kingston, N., Grohn, J., & Rushworth, M. F. S. (2026) · Neuron · doi:10.1016/j.neuron.2026.07.029 · Cited by 1

Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering

D’Ambrogio, S., Grohn, J., Khalighinejad, N., Mattar, M. G., Hunt, L., & Rushworth, M. F. S. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02342-9 · Cited by 1

doi:10.1006/nimg.2002.1132 Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images

Jenkinson, M., Bannister, P., Brady, M., & Smith, S. M. (2008)

Improved Methods for the Registration and Motion Correction of Brain Images

Jenkinson, M., Bannister, P., Brady, M., & Smith, S. M. (2007)

Optimisation in Robust Linear Registration of Brain Images

Jenkinson, M., & Smith, S. M. (2007)

A global optimisation method for robust affine registration of brain images

Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018

Global Optimization of Medical Image Registration Based on Nonlinear Correlation Measurement

Jin, J., Wang, Q., & Shen, Y. (2005) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2005.1617205 · Cited by 4