Mark Jenkinson

• Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation.

  Goksan S. et al, (2017), Magn Reson Med, 78, 625 - 631

• Denoising spinal cord fMRI data: Approaches to acquisition and analysis.

  Eippert F. et al, (2017), Neuroimage, 154, 255 - 266

• Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging.

  Mollink J. et al, (2017), Neuroimage, 157, 561 - 574

• White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke.

  Zamboni G. et al, (2017), Stroke, 48, 1539 - 1547

• Quantitative FLAIR MRI in Amyotrophic Lateral Sclerosis.

  Fabes J. et al, (2017), Acad Radiol

• White matter imaging correlates of early cognitive impairment detected by the MoCA after TIA and minor stroke

  Zamboni G. et al, (2017), Stroke

• Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

  Alfaro Almagro F. et al, (2017), biorxiv

• Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.

  Griffanti L. et al, (2017), Neuroimage

• Optimizing image registration and infarct definition in stroke research.

  Harston GW. et al, (2017), Ann Clin Transl Neurol, 4, 166 - 174

• HIV Distal Neuropathic Pain Is Associated with Smaller Ventral Posterior Cingulate Cortex.

  Keltner JR. et al, (2017), Pain Med, 18, 428 - 440

• BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods.

  Gorgolewski KJ. et al, (2017), PLoS Comput Biol, 13

• Brain MRI atrophy quantification in MS: From methods to clinical application.

  Rocca MA. et al, (2017), Neurology, 88, 403 - 413

• Novel genetic loci associated with hippocampal volume.

  Hibar DP. et al, (2017), Nat Commun, 8

• Novel genetic loci underlying human intracranial volume identified through genome-wide association.

  Adams HH. et al, (2016), Nat Neurosci, 19, 1569 - 1582

• Multimodal population brain imaging in the UK Biobank prospective epidemiological study.

  Miller KL. et al, (2016), Nat Neurosci, 19, 1523 - 1536

• BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.

  Griffanti L. et al, (2016), Neuroimage, 141, 191 - 205

• Donepezil Enhances Frontal Functional Connectivity in Alzheimer's Disease: A Pilot Study.

  Griffanti L. et al, (2016), Dement Geriatr Cogn Dis Extra, 6, 518 - 528

• The Human Connectome Project's neuroimaging approach.

  Glasser MF. et al, (2016), Nat Neurosci, 19, 1175 - 1187

• A multi-modal parcellation of human cerebral cortex.

  Glasser MF. et al, (2016), Nature, 536, 171 - 178

• Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7T data at young and old age.

  Visser E. et al, (2016), Neuroimage, 139, 324 - 336

• Construction of a neonatal cortical surface atlas using multimodal surface matching

  Bozek J. et al, (2016), Proceedings - International Symposium on Biomedical Imaging, 2016-June, 775 - 778

• Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise.

  Thomas AG. et al, (2016), Neuroimage, 131, 162 - 170

• Conditioned respiratory threat in the subdivisions of the human periaqueductal gray.

  Faull OK. et al, (2016), Elife, 5

• Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool.

  Visser E. et al, (2016), Neuroimage, 125, 479 - 497

• Iterative dual LDA: A novel classification algorithm for resting state fMRI

  Arya Z. et al, (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10019 LNCS, 279 - 286

• Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease.

  Griffanti L. et al, (2016), Neuroimage, 124, 704 - 713

• Improving measurement errors in the assessment of GM and WM volume changes using a new sienax procedure

  Battaglini M. et al, (2015), MULTIPLE SCLEROSIS JOURNAL, 21, 495 - 495

• Functional subdivision of the human periaqueductal grey in respiratory control using 7 tesla fMRI.

  Faull OK. et al, (2015), Neuroimage, 113, 356 - 364

• fMRI reveals neural activity overlap between adult and infant pain.

  Goksan S. et al, (2015), Elife, 4

• Common genetic variants influence human subcortical brain structures.

  Hibar DP. et al, (2015), Nature, 520, 224 - 229

• Validation of automated segmentation of white matter hyperintensities on MRI: Correlation with cognitive function after TIA and stroke

  Griffanti L. et al, (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 62 - 62

• Large-scale probabilistic functional modes from resting state fMRI.

  Harrison SJ. et al, (2015), Neuroimage, 109, 217 - 231

• Association between macroscopic and microstructural white matter damage and cognition in vascular cognitive impairment

  Zamboni G. et al, (2015), INTERNATIONAL JOURNAL OF STROKE, 10, 381 - 381

• Quantitative susceptibility mapping by inversion of a perturbation field model: correlation with brain iron in normal aging.

  Poynton CB. et al, (2015), IEEE Trans Med Imaging, 34, 339 - 353

• Imaging Surrogates of Disease Activity in Neuromyelitis Optica Allow Distinction from Multiple Sclerosis.

  Matthews L. et al, (2015), PLoS One, 10

• Correcting precipitation feature location in general circulation models

  Levy AAL. et al, (2014), Journal of Geophysical Research, 119, 13 - 369

• Increasing the detectability of external influence on precipitation by correcting feature location in GCMs

  Levy AAL. et al, (2014), Journal of Geophysical Research Atmospheres, 119, 12466 - 12478

• MSM: a new flexible framework for Multimodal Surface Matching.

  Robinson EC. et al, (2014), Neuroimage, 100, 414 - 426

• Correspondences between retinotopic areas and myelin maps in human visual cortex

  Abdollahi RO. et al, (2014), NeuroImage, 99, 509 - 524

• Correspondences between retinotopic areas and myelin maps in human visual cortex.

  Abdollahi RO. et al, (2014), Neuroimage, 99, 509 - 524

• Optimizing full-brain coverage in human brain MRI through population distributions of brain size.

  Mennes M. et al, (2014), Neuroimage, 98, 513 - 520

• Inflammation does not cause chronic global neurodegeneration in NMO? A longitudinal multimodel quantitative MRI study comparing NMO and MS

  Matthews L. et al, (2014), MULTIPLE SCLEROSIS JOURNAL, 20, 282 - 282

• Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention.

  Sampaio-Baptista C. et al, (2014), Neuroimage, 96, 158 - 166

• The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.

  Thompson PM. et al, (2014), Brain Imaging Behav, 8, 153 - 182

• Study protocol: The Whitehall II imaging sub-study.

  Filippini N. et al, (2014), BMC Psychiatry, 14

• Connectivity-based functional analysis of dopamine release in the striatum using diffusion-weighted MRI and positron emission tomography.

  Tziortzi AC. et al, (2014), Cereb Cortex, 24, 1165 - 1177

• Quantifying the pattern of optic tract degeneration in human hemianopia.

  Millington RS. et al, (2014), J Neurol Neurosurg Psychiatry, 85, 379 - 386

• Comprehensive morphometry of subcortical grey matter structures in early-stage Parkinson's disease.

  Menke RA. et al, (2014), Hum Brain Mapp, 35, 1681 - 1690

• The ENIGMA Consortium: Large-scale collaborative analyses of neuroimaging and genetic data

  Thompson PM. et al, (2014), Brain Imaging and Behavior, 8, 153 - 182

• Quantifying the pattern of optic tract degeneration in human hemianopia

  Millington RS. et al, (2014), Journal of Neurology, Neurosurgery and Psychiatry, 85, 379 - 386

• Optimizing RetroICor and RetroKCor corrections for multi-shot 3D FMRI acquisitions.

  Tijssen RH. et al, (2014), Neuroimage, 84, 394 - 405

• Optimizing full-brain coverage in human brain MRI through population distributions of brain size

  Mennes M. et al, (2014), NeuroImage, 98, 513 - 520

• Comprehensive morphometry of subcortical grey matter structures in early-stage Parkinson's disease

  Menke RAL. et al, (2014), Human Brain Mapping, 35, 1681 - 1690

• Functional connectomics from resting-state fMRI.

  Smith SM. et al, (2013), Trends Cogn Sci, 17, 666 - 682

• Functional connectomics from resting-state fMRI

  Smith SM. et al, (2013), Trends in Cognitive Sciences, 17, 666 - 682

• Towards realtime multimodal fusion for image-guided interventions using self-similarities

  Heinrich MP. et al, (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8149 LNCS, 187 - 194

• The impact of heterogeneity and uncertainty on prediction of response to therapy using dynamic MRI data

  Bhushan M. et al, (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8149 LNCS, 316 - 323

• The minimal preprocessing pipelines for the Human Connectome Project.

  Glasser MF. et al, (2013), Neuroimage, 80, 105 - 124

• Human Connectome Project informatics: Quality control, database services, and data visualization

  Marcus DS. et al, (2013), NeuroImage, 80, 202 - 219

• Advances in diffusion MRI acquisition and processing in the Human Connectome Project

  Sotiropoulos SN. et al, (2013), NeuroImage, 80, 125 - 143

• Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

  Sotiropoulos SN. et al, (2013), Neuroimage, 80, 125 - 143

• The minimal preprocessing pipelines for the Human Connectome Project

  Glasser MF. et al, (2013), NeuroImage, 80, 105 - 124

• Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis.

  Vrenken H. et al, (2013), J Neurol, 260, 2458 - 2471

• Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis

  Vrenken H. et al, (2013), Journal of Neurology, 260, 2458 - 2471

• Improved MRI-derived assessment of grey and white matter volumes by using SIENAX

  Battaglini M. et al, (2013), MULTIPLE SCLEROSIS JOURNAL, 19, 424 - 425

• Resting functional connectivity reveals residual functional activity in Alzheimer's disease

  Zamboni G. et al, (2013), Biological Psychiatry, 74, 375 - 383

• Edge- and detail-preserving sparse image representations for deformable registration of chest MRI and CT volumes

  Heinrich MP. et al, (2013), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7917 LNCS, 463 - 474

• MRF-based deformable registration and ventilation estimation of lung CT.

  Heinrich MP. et al, (2013), IEEE Trans Med Imaging, 32, 1239 - 1248

• Distinction of seropositive NMO spectrum disorder and MS brain lesion distribution.

  Matthews L. et al, (2013), Neurology, 80, 1330 - 1337

• Structural and functional bases of visuospatial associative memory in older adults.

  Zamboni G. et al, (2013), Neurobiol Aging, 34, 961 - 972

• Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment.

  Zamboni G. et al, (2013), Cortex, 49, 668 - 678

• Neuroanatomy of impaired self-awareness in Alzheimer's disease and mild cognitive impairment

  Zamboni G. et al, (2013), Cortex, 49, 668 - 678

• Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS.

  Stagg CJ. et al, (2013), Neurology, 80, 610 - 615

• ASIC1 Blockade in Primary Progressive Multiple Sclerosis: Evidence of Neuroprotection with Amiloride

  Arun T. et al, (2013), NEUROLOGY, 80

• Can correcting feature location in simulated mean climate improve agreement on projected changes?

  Levy AAL. et al, (2013), Geophysical Research Letters, 40, 354 - 358

• Towards realtime multimodal fusion for image-guided interventions using self-similarities.

  Heinrich MP. et al, (2013), Med Image Comput Comput Assist Interv, 16, 187 - 194

• The impact of heterogeneity and uncertainty on prediction of response to therapy using dynamic MRI data.

  Bhushan M. et al, (2013), Med Image Comput Comput Assist Interv, 16, 316 - 323

• Targeting ASIC1 in primary progressive multiple sclerosis: Evidence of neuroprotection with amiloride

  Arun T. et al, (2013), Brain, 136, 106 - 115

• Physiological noise in brainstem FMRI.

  Brooks JC. et al, (2013), Front Hum Neurosci, 7

• Multimodal surface matching: fast and generalisable cortical registration using discrete optimisation.

  Robinson EC. et al, (2013), Inf Process Med Imaging, 23, 475 - 486

• The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis.

  Gelineau-Morel R. et al, (2012), Hum Brain Mapp, 33, 2802 - 2814

• Neuromyelitis optica spectrum disorder and multiple sclerosis can be distinguished on the basis of MRI brain lesion characteristics

  Matthews LAE. et al, (2012), MULTIPLE SCLEROSIS JOURNAL, 18, 9 - 10

• MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration

  Heinrich MP. et al, (2012), Medical Image Analysis, 16, 1423 - 1435

• A combined post-mortem magnetic resonance imaging and quantitative histological study of multiple sclerosis pathology.

  Kolasinski J. et al, (2012), Brain, 135, 2938 - 2951

• Evaluating and reducing the impact of white matter lesions on brain volume measurements.

  Battaglini M. et al, (2012), Hum Brain Mapp, 33, 2062 - 2071

• Textural mutual information based on cluster trees for multimodal deformable registration

  Heinrich MP. et al, (2012), Proceedings - International Symposium on Biomedical Imaging, 1471 - 1474

• FSL

  Jenkinson M. et al, (2012), NeuroImage, 62, 782 - 790

• Quantification of dopamine release within the connectivity-derived functional subdivision of striatum

  Gunn RN. et al, (2012), JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 32, S166 - S166

• Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis.

  Popescu V. et al, (2012), Neuroimage, 61, 1484 - 1494

• Magnetic resonance imaging in late-life depression: vascular and glucocorticoid cascade hypotheses.

  Sexton CE. et al, (2012), Br J Psychiatry, 201, 46 - 51

• Stimulus site and modality dependence of functional activity within the human spinal cord.

  Brooks JC. et al, (2012), J Neurosci, 32, 6231 - 6239

• Identification of common variants associated with human hippocampal and intracranial volumes

  Stein JL. et al, (2012), Nature Genetics, 44, 552 - 561

• Assessment of physiological noise modelling methods for functional imaging of the spinal cord.

  Kong Y. et al, (2012), Neuroimage, 60, 1538 - 1549

• Structural MRI changes detectable up to ten years before clinical Alzheimer's disease.

  Tondelli M. et al, (2012), Neurobiol Aging, 33, 825.e25 - 825.e36

• Registration, atlases and cortical flattening

  Jenkinson M., (2012), Functional Magnetic Resonance Imaging: An Introduction to Methods

• COMPARISON OF HISTOLOGICAL AND DIFFUSION-WEIGHTED MRI TECHNIQUES IN THE ANALYSIS OF POST MORTEM MULTIPLE SCLEROSIS BRAINS

  Kolasinski J. et al, (2012), JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 83

• AMILORIDE TREATMENT AMELIORATES MRI SURROGATE MARKERS OF NEURODEGENERATION IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS

  Arun T. et al, (2012), JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 83

• Temporally-independent functional modes of spontaneous brain activity

  Smith SM. et al, (2012), Proceedings of the National Academy of Sciences of the United States of America, 109, 3131 - 3136

• Temporally-independent functional modes of spontaneous brain activity.

  Smith SM. et al, (2012), Proc Natl Acad Sci U S A, 109, 3131 - 3136

• Structural changes of the brain in rheumatoid arthritis.

  Wartolowska K. et al, (2012), Arthritis Rheum, 64, 371 - 379

• Temporally-independent functional modes of spontaneous brain activity

  Smith SM. et al, (2012), Proceedings of the National Academy of Sciences of the United States of America, 109, 3131 - 3136

• Target identification for stereotactic thalamotomy using diffusion tractography.

  Kincses ZT. et al, (2012), PLoS One, 7

• Globally optimal deformable registration on a minimum spanning tree using dense displacement sampling.

  Heinrich MP. et al, (2012), Med Image Comput Comput Assist Interv, 15, 115 - 122

• Social network size affects neural circuits in macaques.

  Sallet J. et al, (2011), Science, 334, 697 - 700

• Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.

  Murphy K. et al, (2011), IEEE Trans Med Imaging, 30, 1901 - 1920

• Distinction of aquaporin-4 antibody positive neuromyelitis optica from multiple sclerosis using diffusion tensor and myelin water imaging

  Matthews L. et al, (2011), MULTIPLE SCLEROSIS JOURNAL, 17, S165 - S165

• Acid-sensing ion channel 1 blockade preserves brain microstructural integrity in patients with multiple sclerosis

  de Ruiter MB. et al, (2011), MULTIPLE SCLEROSIS JOURNAL, 17, S205 - S205

• Diffusion imaging of whole, post-mortem human brains on a clinical MRI scanner.

  Miller KL. et al, (2011), Neuroimage, 57, 167 - 181

• Informatics and data mining tools and strategies for the human connectome project

  Marcus DS. et al, (2011), Frontiers in Neuroinformatics, 5

• Performance of single spin-echo and doubly refocused diffusion-weighted sequences in the presence of eddy current fields with multiple components.

  Nunes RG. et al, (2011), Magn Reson Imaging, 29, 659 - 667

• Lesion probability mapping to explain clinical deficits and cognitive performance in multiple sclerosis.

  Kincses ZT. et al, (2011), Mult Scler, 17, 681 - 689

• A Bayesian model of shape and appearance for subcortical brain segmentation.

  Patenaude B. et al, (2011), Neuroimage, 56, 907 - 922

• Novel Fast Marching for Automated Segmentation of the Hippocampus (FMASH): method and validation on clinical data.

  Bishop CA. et al, (2011), Neuroimage, 55, 1009 - 1019

• Structural MRI changes detectable up to ten years before clinical Alzheimer's disease

  Tondelli M. et al, (2011), Neurobiology of Aging

• Imaging dopamine receptors in humans with [11C]-(+)-PHNO: dissection of D3 signal and anatomy.

  Tziortzi AC. et al, (2011), Neuroimage, 54, 264 - 277

• Evaluation of hippocampal segmentation methods for healthy and pathological subjects

  Bishopy CA. et al, (2010), EG VCBM 2010 - Eurographics Workshop on Visual Computing for Biology and Medicine, 17 - 24

• PREDICTING BRAIN ATROPHY AT 1 YEAR BY BASELINE MULTIMODAL MRI DATA

  Tarunya A. et al, (2010), JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 81, E42 - E42

• DIRECT COMPARISON OF MULTIPLE NONLESIONAL IMAGING MEASURES TO ASSESS THEIR POWER TO MEASURE TREATMENT EFFECTS OVER 1 YEAR IN PRIMARY PROGRESSIVE MULTIPLE SCLEROSIS

  Arun T. et al, (2010), JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 81, E52 - E53

• Simulating the effects of time-varying magnetic fields with a realistic simulated scanner.

  Drobnjak I. et al, (2010), Magn Reson Imaging, 28, 1014 - 1021

• Reducing distortions in diffusion-weighted echo planar imaging with a dual-echo blip-reversed sequence.

  Gallichan D. et al, (2010), Magn Reson Med, 64, 382 - 390

• A combined diffusion tensor imaging (DTI) and [11C]-(+)-PHNO positron emission tomography (PET) study to quantify dopamine D3/D2 receptors in pallidum

  Tziortzi AC. et al, (2010), NEUROIMAGE, 52, S23 - S23

• Erratum to Combining shape and connectivity analysis: An MRI study of thalamic degeneration in Alzheimer's disease [NeuroImage, 49, (2010), 1-8]

  Zarei M. et al, (2010), NeuroImage, 51

• Combining shape and connectivity analysis: an MRI study of thalamic degeneration in Alzheimer's disease.

  Zarei M. et al, (2010), Neuroimage, 49, 1 - 8

• An evaluation of four automatic methods of segmenting the subcortical structures in the brain (vol 47, pg 1435, 2009)

  Babalola KO. et al, (2010), NEUROIMAGE, 49, 1152 - 1152

• Methods for tractography-driven surface registration of brain structures.

  Petrović A. et al, (2009), Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 12, 705 - 712

• Methods for tractography-driven surface registration of brain structures

  Petrović A. et al, (2009), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5761 LNCS, 705 - 712

• Brain surface contraction mapped in first-episode schizophrenia: a longitudinal magnetic resonance imaging study.

  Sun D. et al, (2009), Mol Psychiatry, 14, 976 - 986

• An evaluation of four automatic methods of segmenting the subcortical structures in the brain.

  Babalola KO. et al, (2009), Neuroimage, 47, 1435 - 1447

• Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

  Klein A. et al, (2009), Neuroimage, 46, 786 - 802

• Bayesian analysis of neuroimaging data in FSL.

  Woolrich MW. et al, (2009), Neuroimage, 45, S173 - S186

• Methods for tractography-driven surface registration of brain structures.

  Petrović A. et al, (2009), Med Image Comput Comput Assist Interv, 12, 705 - 712

• Comparison and evaluation of segmentation techniques for subcortical structures in brain MRI

  Babalola KO. et al, (2008), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5241 LNCS, 409 - 416

• Brainstem functional magnetic resonance imaging: disentangling signal from physiological noise.

  Harvey AK. et al, (2008), J Magn Reson Imaging, 28, 1337 - 1344

• Amygdala enlargement and shape distortion in bipolar disorder

  Glahn DC. et al, (2008), BIOLOGICAL PSYCHIATRY, 63, 232S - 233S

• Physiological noise modelling for spinal functional magnetic resonance imaging studies.

  Brooks JC. et al, (2008), Neuroimage, 39, 680 - 692

• Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia.

  Douaud G. et al, (2007), Brain, 130, 2375 - 2386

• Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: cross-validation of BSI, SIENA and SIENAX.

  Smith SM. et al, (2007), Neuroimage, 36, 1200 - 1206

• Two-dimensional population map of cortical connections in the human internal capsule.

  Zarei M. et al, (2007), J Magn Reson Imaging, 25, 48 - 54

• Meaningful design and contrast estimability in FMRI.

  Smith S. et al, (2007), Neuroimage, 34, 127 - 136

• Manifestations of early brain recovery associated with abstinence from alcoholism.

  Bartsch AJ. et al, (2007), Brain, 130, 36 - 47

• Integrating temporal information with a non-rigid method of motion correction for functional magnetic resonance images

  Bannister PR. et al, (2007), Image and Vision Computing, 25, 311 - 320

• Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics.

  Smith SM. et al, (2007), Nat Protoc, 2, 499 - 503

• Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts.

  Drobnjak I. et al, (2006), Magn Reson Med, 56, 364 - 380

• Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.

  Smith SM. et al, (2006), Neuroimage, 31, 1487 - 1505

• Applying FSL to the FIAC data: Model-based and model-free analysis of voice and sentence repetition priming

  Beckmann CF. et al, (2006), Human Brain Mapping, 27, 380 - 391

• A consistent relationship between local white matter architecture and functional specialisation in medial frontal cortex.

  Behrens TE. et al, (2006), Neuroimage, 30, 220 - 227

• A Bayesian cost function applied to model-based registration of sub-cortical brain structures

  Patenaude B. et al, (2006), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4057 LNCS, 9 - 17

• Color of scents: chromatic stimuli modulate odor responses in the human brain.

  Osterbauer RA. et al, (2005), J Neurophysiol, 93, 3434 - 3441

• Variability in fMRI: a re-examination of inter-session differences.

  Smith SM. et al, (2005), Hum Brain Mapp, 24, 248 - 257

• Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex.

  Bridge H. et al, (2005), J Vis, 5, 93 - 102

• TIGER - A new model for spatio-temporal realignment of FMRI data

  Bannister PR. et al, (2004), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3117, 292 - 303

• A framework for detailed objective comparison of non-rigid registration algorithms in neuroimaging

  Crum WR. et al, (2004), Lecture Notes in Computer Science, 3216, 679 - 686

• Perturbation method for magnetic field calculations of nonconductive objects.

  Jenkinson M. et al, (2004), Magn Reson Med, 52, 471 - 477

• Multilevel linear modelling for FMRI group analysis using Bayesian inference.

  Woolrich MW. et al, (2004), Neuroimage, 21, 1732 - 1747

• Fully Bayesian spatio-temporal modeling of FMRI data.

  Woolrich MW. et al, (2004), IEEE Trans Med Imaging, 23, 213 - 231

• Non-rigid motion estimation and spatiooral realignment in FMRI

  Bannister PR. et al, (2004), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2004-January

• Advances in functional and structural MR image analysis and implementation as FSL.

  Smith SM. et al, (2004), Neuroimage, 23 Suppl 1, S208 - S219

• Characterization and propagation of uncertainty in diffusion-weighted MR imaging.

  Behrens TE. et al, (2003), Magn Reson Med, 50, 1077 - 1088

• General multilevel linear modeling for group analysis in FMRI.

  Beckmann CF. et al, (2003), Neuroimage, 20, 1052 - 1063

• T1 changes detect the progression of pathology in the white matter and cortex of MS patients

  Palace J. et al, (2003), JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 74, 1179 - 1179

• Protocol to determine the optimal intraoral passive shim for minimisation of susceptibility artifact in human inferior frontal cortex.

  Wilson JL. et al, (2003), Neuroimage, 19, 1802 - 1811

• MRI brain T1 relaxation time changes in MS patients increase over time in both the white matter and the cortex.

  Parry A. et al, (2003), J Neuroimaging, 13, 234 - 239

• Modelling B0 induced artifacts in fMRI using perturbation calculations

  Jenkinson M. et al, (2003), AUSTRALIAN JOURNAL OF PSYCHOLOGY, 55, 21 - 21

• Fast, automated, N-dimensional phase-unwrapping algorithm.

  Jenkinson M., (2003), Magn Reson Med, 49, 193 - 197

• Optimization of static field homogeneity in human brain using diamagnetic passive shims.

  Wilson JL. et al, (2002), Magn Reson Med, 48, 906 - 914

• Improved optimization for the robust and accurate linear registration and motion correction of brain images.

  Jenkinson M. et al, (2002), Neuroimage, 17, 825 - 841

• Fast, fully automated global and local magnetic field optimization for fMRI of the human brain.

  Wilson JL. et al, (2002), Neuroimage, 17, 967 - 976

• White matter and lesion T1 relaxation times increase in parallel and correlate with disability in multiple sclerosis.

  Parry A. et al, (2002), J Neurol, 249, 1279 - 1286

• Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

  Smith SM. et al, (2002), Neuroimage, 17, 479 - 489

• A saliency-based hierarchy for local symmetries

  Jenkinson M. and Brady M., (2002), Image and Vision Computing, 20, 85 - 101

• Medical image registration

  Jenkinson M. and Smith S., (2001), Medical image registration

• Venous contribution to high magnitude BOLD contrast activation

  Hall D. et al, (2001), NEUROIMAGE, 13, S143 - S143

• SIENA: Single and multiple time point brain atrophy analysis

  Smith S. et al, (2001), NEUROIMAGE, 13, S250 - S250

• Robust affine motion correction in fMRI time series

  Bannister PR. and Jenkinson M., (2001), NEUROIMAGE, 13, S70 - S70

• Improved unwarping of EPI images using regularised B0 maps

  Jenkinson M., (2001), NEUROIMAGE, 13, S165 - S165

• FSL: New tools for functional and structural brain image analysis

  Smith S. et al, (2001), NEUROIMAGE, 13, S249 - S249

• Exploratory motion analysis in fMRI using ICA

  Bannister PR. et al, (2001), NEUROIMAGE, 13, S69 - S69

• A global optimisation method for robust affine registration of brain images.

  Jenkinson M. and Smith S., (2001), Med Image Anal, 5, 143 - 156

• Normalized accurate measurement of longitudinal brain change.

  Smith SM. et al, (2001), J Comput Assist Tomogr, 25, 466 - 475

• Structural Imaging in fMRI: Registration, Atlases and Cortical Flattening

  Jenkinson M., (2001), Functional Magnetic Resonance Imaging of the Brain: An Introductory Guide

• Global optimisation for robust affine registration

  Jenkinson M. and Smith SM., (2000), NeuroImage, 11

• Adaptive local reorganisation of primary motor cortex after brain injury

  Matthews PM. et al, (2000), NeuroImage, 11

• Evidence for adaptive functional changes in the cerebral cortex with axonal injury from multiple sclerosis.

  Reddy H. et al, (2000), Brain, 123 ( Pt 11), 2314 - 2320

• The motor cortex shows adaptive functional changes to brain injury from multiple sclerosis.

  Lee M. et al, (2000), Ann Neurol, 47, 606 - 613

• Sharing brain mapping statistical results with the neuroimaging data model.

  Maumet C. et al, Sci Data, 3

Recent Publications

• Optimal echo time for functional MRI of the infant brain identified in response to noxious stimulation.

  Goksan S. et al, (2017), Magn Reson Med, 78, 625 - 631

• Denoising spinal cord fMRI data: Approaches to acquisition and analysis.

  Eippert F. et al, (2017), Neuroimage, 154, 255 - 266

• Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging.

  Mollink J. et al, (2017), Neuroimage, 157, 561 - 574

• White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke.

  Zamboni G. et al, (2017), Stroke, 48, 1539 - 1547

• Quantitative FLAIR MRI in Amyotrophic Lateral Sclerosis.

  Fabes J. et al, (2017), Acad Radiol