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

Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 6,983

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

Maintz, J. B. A., & Viergever, M. A. (1998) · Medical Image Analysis · doi:10.1016/s1361-8415(01)80026-8 · Cited by 3,314

Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data

Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859

MRI-PET Registration with Automated Algorithm

Woods, R. P., Mazziotta, J. C., & Cherry, A. S. R. (1993) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199307000-00004 · Cited by 1,636

Comparison and Evaluation of Retrospective Intermodality Brain Image Registration Techniques

West, J. B., Fitzpatrick, J. M., Wang, M. Y., Dawant, B. M., Maurer, C. R., KESSLER, R. M., Maciunas, R. J., Barillot, C., Lemoine, D., Collignon, A. M. F., et al. (1997) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199707000-00007 · Cited by 883

Recent Developments in Nonparametric Density Estimation

Izenman, A. J. (1991) · Journal of the American Statistical Association · doi:10.2307/2289732 · Cited by 464

Quantitative mapping of cerebral metabolic rate of oxygen (CMRO 2 ) using quantitative susceptibility mapping (QSM)

Zhang, J., Liu, T., Gupta, A. K., Spincemaille, P., Nguyen, T. D., & Wang, Y. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25463 · Cited by 154

Longitudinal Changes in White Matter Integrity Among Adolescent Substance Users

Bava, S., Jacobus, J., Thayer, R. E., & Tapert, S. F. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2012.01920.x · Cited by 154

White matter hyperintensity reduction and outcomes after minor stroke

Wardlaw, J. M., Chappell, F. M., Hernández, M. D. C. V., Makin, S., Staals, J., Shuler, K., Thrippleton, M. J., Armitage, P. A., Maniega, S. M., Heye, A. K., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004328 · Cited by 154

Complex networks reveal early MRI markers of Parkinson’s disease

Amoroso, N., Rocca, M. L., Monaco, A., Bellotti, R., & Tangaro, S. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.05.004 · Cited by 159

Resting-state networks in awake five- to eight-year old children

de Bie, H. M. A., Boersma, M., Adriaanse, S., Veltman, D. J., Wink, A. M., Roosendaal, S. D., Barkhof, F., Stam, C. J., Oostrom, K. J., Delemarre‐van de Waal, H. A., et al. (2012) · Human Brain Mapping · doi:10.1002/hbm.21280 · Cited by 143

Altered function and connectivity of the medial frontal cortex in pediatric obsessive compulsive disorder

Fitzgerald, K. D., Stern, E. R., Angstadt, M., Nicholson-Muth, K. C., Maynor, M. R., Welsh, R. C., Hanna, G. L., & Taylor, S. F. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.08.018 · Cited by 152

Rewiring the primary somatosensory cortex in carpal tunnel syndrome with acupuncture

Maeda, Y., Kim, H., Kettner, N. W., Kim, J., Cina, S., Malatesta, C., Gerber, J. A., McManus, C., Ong-Sutherland, R., Mezzacappa, P., et al. (2017) · Brain · doi:10.1093/brain/awx015 · Cited by 157

Altered Connectivity Between Cerebellum, Visual, and Sensory-Motor Networks in Autism Spectrum Disorder: Results from the EU-AIMS Longitudinal European Autism Project

Oldehinkel, M., Mennes, M., Marquand, A. F., Charman, T., Tillmann, J., Ecker, C., Dell’Acqua, F., Brandeis, D., Banaschewski, T., Baumeister, S., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.11.010 · Cited by 160

Intracranial hemodynamic relationships in patients with cerebral small vessel disease

Blair, G. W., Thrippleton, M. J., Shi, Y., Hamilton, I. F., Stringer, M. S., Chappell, F. M., Dickie, D. A., Andrews, P., Marshall, I., Doubal, F., et al. (2020) · Neurology · doi:10.1212/wnl.0000000000009483 · Cited by 155

The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses

Snoek, L., van der Miesen, M. M., Beemsterboer, T., van der Leij, A. R., Eigenhuis, A., & Scholte, H. S. (2021) · Scientific Data · doi:10.1038/s41597-021-00870-6 · Cited by 164

Tractography-based priors for dynamic causal models

Stephan, K. E., Tittgemeyer, M., Knösche, T. R., Moran, R., & Friston, K. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.096 · Cited by 151

Prospective head‐movement correction for high‐resolution MRI using an in‐bore optical tracking system

Qin, L., van Gelderen, P., Derbyshire, J. A., Jin, F., Lee, J., de Zwart, J. A., Tao, Y., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22076 · Cited by 152

The Occipital Place Area Is Causally Involved in Representing Environmental Boundaries during Navigation

Julian, J. B., Ryan, J., Hamilton, R. H., & Epstein, R. A. (2016) · Current Biology · doi:10.1016/j.cub.2016.02.066 · Cited by 156

Somatosensory cortical plasticity in carpal tunnel syndrome treated by acupuncture

Napadow, V., Liu, J., Li, M., Kettner, N. W., Ryan, A., Kwong, K. K., Hui, K. K. S., & Audette, J. F. (2006) · Human Brain Mapping · doi:10.1002/hbm.20261 · Cited by 151

Structural changes in the somatosensory system correlate with tic severity in Gilles de la Tourette syndrome

Thomalla, G., Siebner, H. R., Jonas, M., Bäumer, T., Biermann‐Ruben, K., Hummel, F. C., Gerloff, C. P., Müller‐Vahl, K., Schnitzler, A., Orth, M., et al. (2009) · Brain · doi:10.1093/brain/awn339 · Cited by 155

Magnetic Resonance Neuroimaging Study of Brain Structural Differences in Diabetic Peripheral Neuropathy

Selvarajah, D., Wilkinson, I. D., Maxwell, M., Davies, J., Sankar, A., Boland, E. G., Gandhi, R. A., Tracey, I., & Tesfaye, S. H. (2014) · Diabetes Care · doi:10.2337/dc13-2610 · Cited by 157

Network complexity as a measure of information processing across resting-state networks: evidence from the Human Connectome Project

McDonough, I. M., & Nashiro, K. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00409 · Cited by 153

Adjusting the effect of nonstationarity in cluster-based and TFCE inference

Salimi‐Khorshidi, G., Smith, S. M., & Nichols, T. E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.088 · Cited by 150

Aberrant functioning of the theory-of-mind network in children and adolescents with autism

Kana, R. K., Maximo, J. O., Williams, D. L., Keller, T. A., Schipul, S. E., Cherkassky, V. L., Minshew, N. J., & Just, M. A. (2015) · Molecular Autism · doi:10.1186/s13229-015-0052-x · Cited by 149

Postictal behavioural impairments are due to a severe prolonged hypoperfusion/hypoxia event that is COX-2 dependent

Farrell, J. S., Gaxiola‐Valdez, I., Wolff, M. D., David, L. S., Dika, H., Geeraert, B., Wang, X. R., Singh, S., Spanswick, S. C., Dunn, J. F., et al. (2016) · eLife · doi:10.7554/elife.19352 · Cited by 150

Concordance among indices of intrinsic brain function: Insights from inter-individual variation and temporal dynamics

Yan, C., Yang, Z., Colcombe, S. J., Zuo, X., & Milham, M. P. (2017) · 中国科学通报：英文版 · doi:10.1016/j.scib.2017.09.015 · Cited by 149

The neural correlates of visual imagery: A co-ordinate-based meta-analysis

Winlove, C. I. P., Milton, F., Ranson, J., Fulford, J., MacKisack, M., Macpherson, F., & Zeman, A. (2018) · Cortex · doi:10.1016/j.cortex.2017.12.014 · Cited by 150

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization

Hu, F., Chen, A. A., Horng, H., Bashyam, V., Davatzikos, C. A., Alexander‐Bloch, A. F., Li, M., Shou, H., Satterthwaite, T. D., Yu, M., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120125 · Cited by 163

Interactive effects of fitness and hormone treatment on brain health in postmenopausal women

Erickson, K. I., Colcombe, S. J., Elavsky, S., McAuley, E., Korol, D. L., Scalf, P. E., & Kramer, A. F. (2006) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2005.11.016 · Cited by 148

The “Narratives” fMRI dataset for evaluating models of naturalistic language comprehension

Nastase, S. A., Liu, Y., Hillman, H., Zadbood, A., Hasenfratz, L., Keshavarzian, N., Chen, J., Honey, C. J., Yeshurun, Y., Regev, M., et al. (2021) · Scientific Data · doi:10.1038/s41597-021-01033-3 · Cited by 190

Autism and sensory processing disorders: shared white matter disruption in sensory pathways but divergent connectivity in social–emotional pathways

Chang, Y.-S., Owen, J. P., Desai, S. S., Hill, S. S., Arnett, A. B., Harris, J., Marco, E. J., & Mukherjee, P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103038 · Cited by 149

Automated Optimization of Subcortical Cerebral MR Imaging−Atlas Coregistration for Improved Postoperative Electrode Localization in Deep Brain Stimulation

Schönecker, T., Kupsch, A. R., Kühn, A. A., Schneider, G., & Hoffmann, K. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1741 · Cited by 150

Clustered functional MRI of overt speech production

Sörös, P., Sokoloff, L. G., Bose, A., McIntosh, A. R., Graham, S. J., & Stuss, D. T. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.046 · Cited by 156

Visual Responses of the Human Superior Colliculus: A High-Resolution Functional Magnetic Resonance Imaging Study

Schneider, K. A., & Kästner, S. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00288.2005 · Cited by 149

Distracted and down: neural mechanisms of affective interference in subclinical depression

Kaiser, R. H., Andrews-Hanna, J. R., Spielberg, J. M., Warren, S. L., Sutton, B. P., Miller, G. A., Heller, W., & Banich, M. T. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu100 · Cited by 147

Being right is its own reward: load and performance related ventral striatum activation to correct responses during a working memory task in youth

Satterthwaite, T. D., Ruparel, K., Loughead, J., Elliott, M. A., Gerraty, R. T., Calkins, M. E., Hakonarson, H., Gur, R. C., Gur, R. E., & Wolf, D. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.060 · Cited by 148

Interoception of breathing and its relationship with anxiety

Harrison, O. K., Köchli, L., Marino, S., Luechinger, R., Hennel, F., Brand, K., Hess, A. J., Frässle, S., Iglesias, S., Vinckier, F., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.09.045 · Cited by 163

Dopamine Supports Coupling of Attention-Related Networks

Dang, L. C., O’Neil, J. P., & Jagust, W. J. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0909-12.2012 · Cited by 148

Brain state and polarity dependent modulation of brain networks by transcranial direct current stimulation

Li, L. M., Violante, I. R., Leech, R., Ross, E., Hampshire, A., Opitz, A., Rothwell, J. C., Carmichael, D. W., & Sharp, D. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24420 · Cited by 159

Influence of bodily harm on neural correlates of semantic and moral decision-making

Heekeren, H. R., Wartenburger, I., Schmidt, H., Prehn, K., Schwintowski, H.-P., & Villringer, A. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.026 · Cited by 152

A functional magnetic resonance imaging investigation of uncertainty in adolescents with anxiety disorders

Krain, A. L., Gotimer, K., Hefton, S., Ernst, M., Castellanos, F. X., Pine, D. S., & Milham, M. P. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.011 · Cited by 147

White matter maturation profiles through early childhood predict general cognitive ability

Deoni, S. C. L., O’Muircheartaigh, J., Elison, J. T., Walker, L., Doernberg, E., Waskiewicz, N., Dirks, H., Piryatinsky, I., Dean, D. C., & Jumbe, N. L. (2016) · Brain Structure and Function · doi:10.1007/s00429-014-0947-x · Cited by 147

Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls

Burkhouse, K. L., Jacobs, R. H., Peters, A. T., Ajilore, O., Watkins, E. R., & Langenecker, S. A. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0486-4 · Cited by 151

The impact of epilepsy surgery on the structural connectome and its relation to outcome

Taylor, P. N., Sinha, N., Wang, Y., Vos, S. B., de Tisi, J., Miserocchi, A., McEvoy, A. W., Winston, G. P., & Duncan, J. S. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.01.028 · Cited by 148

Human entorhinal cortex represents visual space using a boundary-anchored grid

Julian, J. B., Keinath, A. T., Frazzetta, G., & Epstein, R. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-017-0049-1 · Cited by 159

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast

Iglesias, J. E., Billot, B., Balbastre, Y., Tabari, A., Conklin, J., González, R. G., Alexander, D. C., Golland, P., Edlow, B. L., & Fischl, B. R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118206 · Cited by 159

Glucocorticoids Decrease Hippocampal and Prefrontal Activation during Declarative Memory Retrieval in Young Men

Oei, N. Y. L., Elzinga, B. M., Wolf, O. T., de Ruiter, M. B., Damoiseaux, J. S., Kuijer, J. P. A., Veltman, D. J., Scheltens, P., & Rombouts, S. A. R. B. (2007) · Brain Imaging and Behavior · doi:10.1007/s11682-007-9003-2 · Cited by 146

Overlapping Networks Engaged during Spoken Language Production and Its Cognitive Control

Geranmayeh, F., Wise, R. J. S., Mehta, A., & Leech, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0428-14.2014 · Cited by 154

Emotional priming effects during Stroop task performance

Hart, S. J., Green, S. R., Casp, M., & Belger, A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.076 · Cited by 152

Autism is characterized by dorsal anterior cingulate hyperactivation during social target detection

Dichter, G. S., Felder, J. N., & Bodfish, J. W. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp017 · Cited by 145

Neural mechanisms of proactive interference-resolution

Nee, D. E., Jonides, J., & Berman, M. G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.066 · Cited by 151

Dynamic Shifts in Large-Scale Brain Network Balance As a Function of Arousal

Young, C. B., Raz, G., Everaerd, D., Beckmann, C. F., Tendolkar, I., Hendler, T., Fernández, G., & Hermans, E. J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1759-16.2016 · Cited by 155

Exploring the impact of analysis software on task fMRI results

Bowring, A., Maumet, C., & Nichols, T. E. (2018) · bioRxiv · doi:10.1002/hbm.24603 · Cited by 166

Distributed affective space represents multiple emotion categories across the human brain

Saarimäki, H., Ejtehadian, L. F., Glerean, E., Jääskeläinen, I. P., Vuilleumier, P., Sams, M., & Nummenmaa, L. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy018 · Cited by 146

A prognostic risk score for development and spread of chronic pain

Tanguay-Sabourin, C., Fillingim, M., Guglietti, G. V., Zare, A., Parisien, M., Norman, J., Sweatman, H., Da‐ano, R., Heikkala, E., Breitner, J. C. S., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02430-4 · Cited by 162

Multiple Somatotopic Representations of Heat and Mechanical Pain in the Operculo-Insular Cortex: A High-Resolution fMRI Study

Baumgärtner, U., Iannetti, G. D., Zambreanu, L., Stoeter, P., Treede, R.-D., & Tracey, I. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00253.2010 · Cited by 145

The power of spectral density analysis for mapping endogenous BOLD signal fluctuations

Duff, E. P., Johnston, L. A., Xiong, J., Fox, P. T., Mareels, I., & Egan, G. F. (2008) · Human Brain Mapping · doi:10.1002/hbm.20601 · Cited by 145

Neural Correlates of Concreteness in Semantic Categorization

Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.8.1407 · Cited by 144

Test–retest reliability of structural brain networks from diffusion MRI

Buchanan, C. R., Pernet, C. R., Gorgolewski, K. J., Storkey, A., & Bastin, M. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.054 · Cited by 147

Imaging the Cannabinoid CB1 Receptor in Humans with [ 11 C] OMAR: Assessment of Kinetic Analysis Methods, Test–Retest Reproducibility, and Gender Differences

Normandin, M. D., Zheng, M., Lin, K., Mason, N. S., Lin, S.-F., Ropchan, J. R., Labaree, D. C., Henry, S. E., Williams, W. A., Carson, R. E., et al. (2015) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.46 · Cited by 145

Inherent Structure-Based Multiview Learning With Multitemplate Feature Representation for Alzheimer's Disease Diagnosis

Liu, M., Zhang, D., Adeli, E., & Shen, D. G. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2496233 · Cited by 151

The volumetric and shape changes of the putamen and thalamus in first episode, untreated major depressive disorder

Lü, Y., Liang, H., Han, D., Mo, Y., Li, Z., Cheng, Y., Xu, X., Shen, Z., Tan, C., Zhao, W. D., et al. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.04.008 · Cited by 149

Study of Resting-State Functional Connectivity Networks Using EEG Electrodes Position As Seed

Rojas, G., Álvarez, C., Montoya, C., de la Iglesia-Vayá, M., Cisternas, J. E., & Gálvez, M. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00235 · Cited by 167

fMRI abnormalities in dorsolateral prefrontal cortex during a working memory task in manic, euthymic and depressed bipolar subjects

Townsend, J. D., Bookheimer, S. Y., Foland‐Ross, L. C., Sugar, C. A., & Altshuler, L. L. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2009.11.010 · Cited by 148

Endogenous cortisol is associated with functional connectivity between the amygdala and medial prefrontal cortex

Veer, I. M., Oei, N. Y. L., Spinhoven, P., van Buchem, M. A., Elzinga, B. M., & Rombouts, S. A. R. B. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.12.001 · Cited by 140

First-in-Human Evaluation of 18 F-SynVesT-1, a Radioligand for PET Imaging of Synaptic Vesicle Glycoprotein 2A

Naganawa, M., Li, S., Nabulsi, N., Henry, S., Zheng, M.-Q., Pracitto, R., Cai, Z., Gao, H., Kapinos, M., Labaree, D., et al. (2021) · Journal of Nuclear Medicine · doi:10.2967/jnumed.120.249144 · Cited by 138

A combined spectroscopic and functional MRI investigation of the dorsal anterior cingulate region in opiate addiction

Yücel, M., Lubman, D. I., Harrison, B. J., Fornito, A., Allen, N. B., Wellard, R. M., Roffel, K., Clarke, K., Wood, S. J., Forman, S. D., et al. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4001955 · Cited by 144

tDCS-Induced Modulation of GABA Levels and Resting-State Functional Connectivity in Older Adults

Antonenko, D., Schubert, F., Bohm, F., Ittermann, B., Aydın, S., Hayek, D., Grittner, U., & Flöel, A. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0079-17.2017 · Cited by 151

Reconciling Dimensional and Categorical Models of Autism Heterogeneity: A Brain Connectomics and Behavioral Study

Tang, S., Sun, N., Floris, D. L., Zhang, X., Martino, A. D., & Yeo, B. T. T. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.11.009 · Cited by 145

Self-similar correlation function in brain resting-state functional magnetic resonance imaging

Expert, P., Lambiotte, R., Chialvo, D. R., Christensen, K., Jensen, H. J., Sharp, D. J., & Turkheimer, F. (2010) · Journal of The Royal Society Interface · doi:10.1098/rsif.2010.0416 · Cited by 137

Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease

Rombouts, S. A. R. B., Goekoop, R., Stam, C. J., Barkhof, F., & Scheltens, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.022 · Cited by 148

Brain tissue compartment density estimated using diffusion‐weighted MRI yields tissue parameters consistent with histology

Sepehrband, F., Clark, K. A., Ullmann, J. F. P., Kurniawan, N. D., Leanage, G., Reutens, D. C., & Yang, Z. (2015) · Human Brain Mapping · doi:10.1002/hbm.22872 · Cited by 143

Test–retest reliability and concurrent validity of in vivo myelin content indices: Myelin water fraction and calibrated T1w/T2w image ratio

Arshad, M., Stanley, J. A., & Raz, N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23481 · Cited by 131

White matter brain and trigeminal nerve abnormalities in temporomandibular disorder

Moayedi, M., Weissman-Fogel, I., Salomons, T. V., Crawley, A. P., Goldberg, M. B., Freeman, B. V., Tenenbaum, H. C., & Davis, K. D. (2012) · Pain · doi:10.1016/j.pain.2012.04.003 · Cited by 144

In vivo definition of parieto-motor connections involved in planning of grasping movements

Koch, G., Cercignani, M., Pecchioli, C., Versace, V., Oliveri, M., Caltagirone, C., Rothwell, J., & Bozzali, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.022 · Cited by 143

Comparison of nine tractography algorithms for detecting abnormal structural brain networks in Alzheimer’s disease

Zhan, L., Zhou, J., Wang, Y., Jin, Y., Jahanshad, N., Prasad, G., Nir, T. M., Leonardo, C. D., Ye, J., Thompson, P. M., et al. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00048 · Cited by 141

Model‐free group analysis shows altered BOLD FMRI networks in dementia

Rombouts, S. A. R. B., Damoiseaux, J. S., Goekoop, R., Barkhof, F., Scheltens, P., Smith, S. M., & Beckmann, C. F. (2007) · Human Brain Mapping · doi:10.1002/hbm.20505 · Cited by 145

Sex differences in adolescent white matter architecture

Bava, S., Boucquey, V., Goldenberg, D., Thayer, R. E., Ward, M. E., Jacobus, J., & Tapert, S. F. (2010) · Brain Research · doi:10.1016/j.brainres.2010.12.051 · Cited by 148

Sensorimotor and Pain Modulation Brain Abnormalities in Trigeminal Neuralgia: A Paroxysmal, Sensory-Triggered Neuropathic Pain

DeSouza, D. D., Moayedi, M., Chen, D. Q., Davis, K. D., & Hodaie, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066340 · Cited by 144

Combined fMRI-MRS acquires simultaneous glutamate and BOLD-fMRI signals in the human brain

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Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands

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