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

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

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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

Virtual dissection and comparative connectivity of the superior longitudinal fasciculus in chimpanzees and humans

Hecht, E. E., Gutman, D. A., Bradley, B. A., Preuss, T. M., & Stout, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.039 · Cited by 175

Risky Decision Making, Prefrontal Cortex, and Mesocorticolimbic Functional Connectivity in Methamphetamine Dependence

Kohno, M., Morales, A. M., Ghahremani, D. G., Hellemann, G., & London, E. D. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.399 · Cited by 179

Prior-Guided Image Reconstruction for Accelerated Multi-Contrast MRI via Generative Adversarial Networks

Dar, S. U. H., Yurt, M., Shahdloo, M., Ildiz, M. E., Tınaz, B., & Çukur, T. (2020) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2020.3001737 · Cited by 175

Severity of Leukoaraiosis and Susceptibility to Infarct Growth in Acute Stroke

Ay, H., Arsava, E. M., Rosand, J. M., Furie, K. L., Singhal, A. B., Schaefer, P. W., Wu, O., González, R. G., Koroshetz, W. J., & Sorensen, A. G. (2008) · Stroke · doi:10.1161/strokeaha.107.501932 · Cited by 175

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional mri using layer-wise relevance propagation

Eitel, F., Soehler, E., Bellmann-Strobl, J., Brandt, A. U., Ruprecht, K., Giess, R. M., Kuchling, J., Asseyer, S., Weygandt, M., Haynes, J.-D., et al. (2019) · NeuroImage: Clinical · doi:10.1016/j.nicl.2019.102003 · Cited by 171

Brain Regions Associated with the Expression and Contextual Regulation of Anxiety in Primates

Kalin, N. H., Shelton, S. E., Fox, A. S., Oakes, T. R., & Davidson, R. J. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.05.021 · Cited by 173

Variability in fMRI: A re‐examination of inter‐session differences

Smith, S. M., Beckmann, C. F., Ramnani, N., Woolrich, M. W., Bannister, P. R., Jenkinson, M., Matthews, P. M., & McGonigle, D. J. (2005) · Human Brain Mapping · doi:10.1002/hbm.20080 · Cited by 173

Challenges in measuring individual differences in functional connectivity using fMRI: The case of healthy aging

Geerligs, L., Tsvetanov, K. A., Cam‐CAN, & Henson, R. N. (2017) · Human Brain Mapping · doi:10.1002/hbm.23653 · Cited by 176

Localization of asymmetric brain function in emotion and depression

Herrington, J. D., Heller, W., Mohanty, A., Engels, A. S., Banich, M. T., Webb, A. G., & Miller, G. A. (2010) · Psychophysiology · doi:10.1111/j.1469-8986.2009.00958.x · Cited by 169

Cognition in healthy aging is related to regional white matter integrity, but not cortical thickness

Ziegler, D. A., Piguet, O., Salat, D. H., Prince, K., Connally, E. L., & Corkin, S. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.10.015 · Cited by 182

Individual differences in moral judgment competence influence neural correlates of socio-normative judgments

Prehn, K., Wartenburger, I., Mériau, K., Scheibe, C., Goodenough, O. R., Villringer, A., van der Meer, E. E., & Heekeren, H. R. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsm037 · Cited by 180

Integrity of normal-appearing white matter: Influence of age, visible lesion burden and hypertension in patients with small-vessel disease

Maniega, S. M., Chappell, F. M., Hernández, M. C. V., Armitage, P. A., Makin, S., Heye, A. K., Thrippleton, M. J., Sakka, E., Shuler, K., Dennis, M. S., et al. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x16635657 · Cited by 174

AI-based differential diagnosis of dementia etiologies on multimodal data

Xue, C., Kowshik, S. S., Lteif, D., Puducheri, S., Jasodanand, V. H., Zhou, O. T., Walia, A. S., Guney, O. B., Zhang, J. D., Poésy, S., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-03118-z · Cited by 182

Differential structural and resting state connectivity between insular subdivisions and other pain-related brain regions

Wiech, K., Jbabdi, S., Lin, C., Andersson, J., & Tracey, I. (2014) · Pain · doi:10.1016/j.pain.2014.07.009 · Cited by 172

Sustained Activity in Topographic Areas of Human Posterior Parietal Cortex during Memory-Guided Saccades

Schluppeck, D., Curtis, C. E., Glimcher, P. W., & Heeger, D. J. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.5330-05.2006 · Cited by 173

Individual and Additive Effects of the CNR1 and FAAH Genes on Brain Response to Marijuana Cues

Filbey, F. M., Schacht, J. P., Myers, U. S., Chavez, R. S., & Hutchison, K. E. (2009) · Neuropsychopharmacology · doi:10.1038/npp.2009.200 · Cited by 172

Global and local morphometric differences in recently abstinent methamphetamine-dependent individuals

Schwartz, D. L., Mitchell, A. D., Lahna, D. L., Luber, H. S., Huckans, M. S., Mitchell, S. H., & Hoffman, W. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.056 · Cited by 178

Lateralization in intrinsic functional connectivity of the temporoparietal junction with salience- and attention-related brain networks

Kucyi, A., Hodaie, M., & Davis, K. D. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00674.2012 · Cited by 180

Combined Volumetric and Surface Registration

Postelnicu, G. M., Zöllei, L., & Fischl, B. R. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.2004426 · Cited by 172

Trait approach and avoidance motivation: Lateralized neural activity associated with executive function

Spielberg, J. M., Miller, G. A., Engels, A. S., Herrington, J. D., Sutton, B. P., Banich, M. T., & Heller, W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.08.037 · Cited by 172

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

Bastiani, M., Andersson, J., Cordero‐Grande, L., Deprez, M., Hutter, J. M., Price, A. N., Makropoulos, A., Fitzgibbon, S. P., Hughes, E., Rueckert, D., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.064 · Cited by 173

Increased Hippocampal Default Mode Synchronization during Rest in Middle-Aged and Elderly APOE ε4 Carriers: Relationships with Memory Performance

Westlye, E. T., Lundervold, A., Rootwelt, H., Lundervold, A. J., & Westlye, L. T. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1230-11.2011 · Cited by 170

Pycortex: an interactive surface visualizer for fMRI

Gao, J. S., Huth, A. G., Lescroart, M. D., & Gallant, J. L. (2015) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2015.00023 · Cited by 171

Developmental alterations of frontal-striatal-thalamic connectivity in obsessive-compulsive disorder

Fitzgerald, K. D., Welsh, R. C., Stern, E. R., Angstadt, M., Hanna, G. L., Abelson, J. L., & Taylor, S. F. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.06.011 · Cited by 165

Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics

Schwarz, C. G., Reid, R. I., Gunter, J. L., Senjem, M. L., Przybelski, S. A., Zuk, S. M., Whitwell, J. L., Vemuri, P., Josephs, K. A., Kantarci, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.026 · Cited by 176

Itch and Motivation to Scratch: An Investigation of the Central and Peripheral Correlates of Allergen- and Histamine-Induced Itch in Humans

Leknes, S., Bantick, S., Willis, C. M., WILKINSON, J. D., Wise, R. G., & Tracey, I. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00070.2006 · Cited by 174

The Neural Correlates of Religious and Nonreligious Belief

Harris, S., Kaplan, J., Curiel, A., Bookheimer, S. Y., Iacoboni, M., & Cohen, M. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007272 · Cited by 174

Evaluating fMRI preprocessing pipelines

Strother, S. C. (2006) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2006.1607667 · Cited by 169

fMRI evidence of neural abnormalities in the subcortical face processing system in ASD

Kleinhans, N. M., Richards, T. L., Johnson, L. C., Weaver, K. E., Greenson, J., Dawson, G., & Aylward, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.037 · Cited by 182

Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints

Hafkemeijer, A., Altmann‐Schneider, I., Oleksik, A. M., van de Wiel, L., Middelkoop, H. A. M., van Buchem, M. A., van der Grond, J., & Rombouts, S. A. R. B. (2013) · Brain Connectivity · doi:10.1089/brain.2013.0144 · Cited by 176

Identifying the ischaemic penumbra using pH-weighted magnetic resonance imaging

Harston, G., Tee, Y. K., Blockley, N. P., Okell, T. W., Thandeswaran, S., Shaya, G., Sheerin, F., Cellerini, M., Payne, S. J., Jezzard, P., et al. (2014) · Brain · doi:10.1093/brain/awu374 · Cited by 169

Modulation of verbal fluency networks by transcranial direct current stimulation (tDCS) in Parkinson’s disease

Pereira, J. B., Junqué, C., David Bartrés-faz, A., Martı́, M. J., Sala‐Llonch, R., Compta, Y., Falcón, C., Vendrell, P., Pascual‐Leone, Á., Valls‐Solé, J., et al. (2012) · Brain stimulation · doi:10.1016/j.brs.2012.01.006 · Cited by 171

Neurofibromin regulates corticostriatal inhibitory networks during working memory performance

Shilyansky, C., Karlsgodt, K. H., Cummings, D. M., Sidiropoulou, K., Hardt, M. E., James, A. S., Ehninger, D., Bearden, C. E., Poirazi, P., Jentsch, J. D., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004829107 · Cited by 170

Epidermal Growth Factor Receptor Extracellular Domain Mutations in Glioblastoma Present Opportunities for Clinical Imaging and Therapeutic Development

Binder, Z. A., Thorne, A. H., Bakas, S., Wileyto, E. P., Bilello, M., Akbari, H., Rathore, S., Ha, S. M., Zhang, L., Ferguson, C., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.06.006 · Cited by 166

BOLD hemodynamic response function changes significantly with healthy aging

West, K. L., Zuppichini, M. D., Turner, M. P., Sivakolundu, D. K., Zhao, Y., Abdelkarim, D., Spence, J. S., & Bart Rypma, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.012 · Cited by 166

Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience

Chang, L. J., Jolly, E., Cheong, J. H., Rapuano, K. M., Greenstein, N., Chen, P.-H. A., & Manning, J. R. (2021) · Science Advances · doi:10.1126/sciadv.abf7129 · Cited by 177

Specificity of regional brain activity in anxiety types during emotion processing

Engels, A. S., Heller, W., Mohanty, A., Herrington, J. D., Banich, M. T., Webb, A. G., & Miller, G. A. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00518.x · Cited by 232

Abnormal white matter microstructure in children with sensory processing disorders

Owen, J. P., Marco, E. J., Desai, S. S., Fourie, E., Harris, J., Hill, S. S., Arnett, A. B., & Mukherjee, P. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.06.009 · Cited by 187

Prefrontal Cortical Changes Following Cognitive Training in Patients with Chronic Schizophrenia: Effects of Practice, Generalization, and Specificity

Haut, K. M., Lim, K. O., & MacDonald, A. W. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2010.52 · Cited by 170

A right hemispheric prefrontal system for cognitive time measurement

Lewis, P. A., & Miall, R. C. (2006) · Behavioural Processes · doi:10.1016/j.beproc.2005.12.009 · Cited by 187

Opioids Depress Cortical Centers Responsible for the Volitional Control of Respiration

Pattinson, K. T. S., Governo, R. J. M., MacIntosh, B. J., Russell, E. C., Corfield, D. R., Tracey, I., & Wise, R. G. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1375-09.2009 · Cited by 169

Directing spatial attention in mental representations: Interactions between attentional orienting and working-memory load

Lepsien, J., Griffin, I. C., Devlin, J. T., & Nobre, A. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.026 · Cited by 188

Endogenous cortisol level interacts with noradrenergic activation in the human amygdala

van Stegeren, A. H., Wolf, O. T., Everaerd, W. T. A. M., Scheltens, P., Barkhof, F., & Rombouts, S. A. R. B. (2006) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2006.05.008 · Cited by 170

Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data

Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., & Smith, S. M. (2005) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.836545 · Cited by 168

Activation of Sensory-Motor Areas in Sentence Comprehension

Desai, R. H., Binder, J. R., Conant, L. L., & Seidenberg, M. S. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp115 · Cited by 175

Oxytocin and vasopressin effects on the neural response to social cooperation are modulated by sex in humans

Feng, C., Hackett, P. D., DeMarco, A. C., Chen, X., Stair, S., Haroon, E., Ditzen, B., Pagnoni, G., & Rilling, J. K. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-014-9333-9 · Cited by 157

Damage to the Optic Radiation in Multiple Sclerosis Is Associated With Retinal Injury and Visual Disability

Reich, D. S., Smith, S. A., Gordon‐Lipkin, E. M., Öztürk, A., Caffo, B. S., Balcer, L. J., & Calabresi, P. A. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.107 · Cited by 167

Analysis of oxygen metabolism implies a neural origin for the negative BOLD response in human visual cortex

Pasley, B. N., Inglis, B. A., & Freeman, R. D. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.015 · Cited by 167

Abnormal whole-brain functional networks in homogeneous acute mild traumatic brain injury

Shumskaya, E., Andriessen, T. M. J. C., Norris, D. G., & Vos, P. E. (2012) · Neurology · doi:10.1212/wnl.0b013e31825f04fb · Cited by 171

Efficacy and Brain Imaging Correlates of an Immersive Motor Imagery BCI-Driven VR System for Upper Limb Motor Rehabilitation: A Clinical Case Report

Vourvopoulos, A., Jorge, C., Abreu, R., Figueiredo, P., Fernandes, J.-C., & Badia, S. B. I. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00244 · Cited by 166

Representing Representation: Integration between the Temporal Lobe and the Posterior Cingulate Influences the Content and Form of Spontaneous Thought

Smallwood, J., Karapanagiotidis, T., Ruby, F., Medea, B., de Caso, I., Konishi, M., Wang, H.-T., Hallam, G., Margulies, D. S., & Jefferies, E. (2016) · PLOS ONE · doi:10.1371/journal.pone.0152272 · Cited by 165

Functional neuroimaging of reward circuitry responsivity to monetary gains and losses in posttraumatic stress disorder

Elman, I., Lowen, S., Frederick, B. B., Chi, W., Becerra, L., & Pitman, R. K. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.06.006 · Cited by 165

Gray Matter Alterations in Adults with Attention-Deficit/Hyperactivity Disorder Identified by Voxel Based Morphometry

Seidman, L. J., Biederman, J., Liang, L., Valera, E. M., Monuteaux, M. C., Brown, A., Kaiser, J., Spencer, T., Faraone, S. V., & Makris, N. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.053 · Cited by 165

Laboratory Induced Aggression: A Positron Emission Tomography Study of Aggressive Individuals with Borderline Personality Disorder

New, A. S., Hazlett, E. A., Newmark, R. E., Zhang, J., Triebwasser, J., Meyerson, D. A., Lazarus, S. A., Trisdorfer, R., Goldstein, K. E., Goodman, M. S., et al. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.07.015 · Cited by 176

Direct Structural Connections between Voice- and Face-Recognition Areas

Blank, H., Anwander, A., & von Kriegstein, K. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2091-11.2011 · Cited by 178

Robotic hand augmentation drives changes in neural body representation

Kieliba, P., Clode, D., Maimon-Mor, R. O., & Makin, T. R. (2021) · Science Robotics · doi:10.1126/scirobotics.abd7935 · Cited by 170

Ventromedial Prefrontal and Anterior Cingulate Cortex Adopt Choice and Default Reference Frames during Sequential Multi-Alternative Choice

Boorman, E. D., Rushworth, M. F. S., & Behrens, T. E. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.3022-12.2013 · Cited by 178

Determination of the human brainstem respiratory control network and its cortical connections in vivo using functional and structural imaging

Pattinson, K. T. S., Mitsis, G. D., HARVEY, A., Jbabdi, S., Dirckx, S. G., Mayhew, S. D., Rogers, R., Tracey, I., & Wise, R. G. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.007 · Cited by 166

Differences between chimpanzees and bonobos in neural systems supporting social cognition

Rilling, J. K., Scholz, J., Preuss, T. M., Glasser, M. F., Errangi, B. K., & Behrens, T. E. J. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr017 · Cited by 163

Individual Differences in Premotor Brain Systems Underlie Behavioral Apathy

Bonnelle, V., Manohar, S., Behrens, T., & Husain, M. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv247 · Cited by 163

The voice of emotion: an FMRI study of neural responses to angry and happy vocal expressions

Johnstone, T., van Reekum, C. M., Oakes, T. R., & Davidson, R. J. (2006) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsl027 · Cited by 160

Changes in gray matter volume and white matter microstructure in adolescents with obsessive-compulsive disorder

Zarei, M., Mataix-Cols, D., Heyman, I., Hough, M., Doherty, J., Burge, L., Winmill, L., Nijhawan, S., Matthews, P. M., & James, A. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.06.032 · Cited by 160

Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis

Wang, Y., Sun, P., Wang, Q., Trinkaus, K. M., Schmidt, R. E., Naismith, R. T., Cross, A. H., & Song, S. (2015) · Brain · doi:10.1093/brain/awv046 · Cited by 165

Patterns of functional connectivity in an aging population: The Rotterdam Study

Zonneveld, H. I., Pruim, R. H. R., Bos, D., Vrooman, H. A., Muetzel, R. L., Albert Hofman, D., Rombouts, S. A. R. B., van der Lugt, A., Niessen, W. J., Ikram, M. A., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.041 · Cited by 171

The effect of intrinsic and extrinsic motivation on memory formation: insight from behavioral and imaging study

Duan, H., Fernández, G., van Dongen, E. V., & Kohn, N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02074-x · Cited by 183

Superior temporal and inferior frontal cortices are activated by infrequent sound duration decrements: an fMRI study

Rinne, T., Degerman, A., & Alho, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.017 · Cited by 161

Purging of Memories from Conscious Awareness Tracked in the Human Brain

Levy, B. J., & Anderson, M. C. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2640-12.2012 · Cited by 175

Molecular and network-level mechanisms explaining individual differences in autism spectrum disorder

Buch, A. M., Vértes, P. E., Seidlitz, J., Kim, S. H., Grosenick, L., & Liston, C. M. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01259-x · Cited by 163

BOLD5000, a public fMRI dataset while viewing 5000 visual images

Chang, N., Pyles, J. A., Marcus, A., Gupta, A., Tarr, M. J., & Aminoff, E. (2019) · Scientific Data · doi:10.1038/s41597-019-0052-3 · Cited by 200

Processing of audiovisual speech in Broca's area

Ojanen, V., Möttönen, R., Pekkola, J., Jääskeläinen, I. P., Joensuu, R., Autti, T. H., & Sams, M. E. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.001 · Cited by 168

Specialization and integration of functional thalamocortical connectivity in the human infant

Toulmin, H., Beckmann, C. F., O’Muircheartaigh, J., Ball, G., Nongena, P., Makropoulos, A., Ederies, A., Counsell, S. J., Kennea, N. L., Arichi, T., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422638112 · Cited by 177

Enriched Encoding: Reward Motivation Organizes Cortical Networks for Hippocampal Detection of Unexpected Events

Murty, V. P., & Adcock, R. A. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht063 · Cited by 167

The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants

Fitzgibbon, S. P., Harrison, S. J., Jenkinson, M., Baxter, L., Robinson, E. C., Bastiani, M., Božek, J., Karolis, V. R., Cordero‐Grande, L., Price, A. N., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117303 · Cited by 169

Perceiving identical sounds as speech or non-speech modulates activity in the left posterior superior temporal sulcus

Möttönen, R., Calvert, G. A., Jääskeläinen, I. P., Matthews, P. M., Thesen, T., Tuomainen, J., & Sams, M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.10.002 · Cited by 158

MRI correlates of cognitive impairment in childhood-onset multiple sclerosis.

Till, C., Ghassemi, R., Aubert-Broche, B., Kerbrat, A., Collins, D. L., Narayanan, S., Arnold, D. L., Desrocher, M. E., Sled, J. G., & Banwell, B. (2011) · Neuropsychology · doi:10.1037/a0022051 · Cited by 158

Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures

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