The role of diffusion MRI in neuroscience

Diffusion weighted imaging has further pushed the boundaries of neuroscience by allowing us to peer farther into the white matter microstructure of the living human brain. By doing so, it has provided answers to fundamental neuroscientific questions, launching a new field of research that had been largely inaccessible. We will briefly summarise key questions, that have historically been raised in neuroscience, concerning the brain’s white matter. We will then expand on the benefits of diffusion weighted imaging and its contribution to the fields of brain anatomy, functional models and plasticity. In doing so, this review will highlight the invaluable contribution of diffusion weighted imaging in neuroscience, present its limitations and put forth new challenges for the future generations who may wish to exploit this powerful technology to gain novel insights.

[1]  G. Rees,et al.  Human brain lesion-deficit inference remapped , 2014, Brain : a journal of neurology.

[2]  Zhengyi Yang,et al.  Parametric Probability Distribution Functions for Axon Diameters of Corpus Callosum , 2016, Front. Neuroanat..

[3]  Martha Elizabeth Shenton,et al.  Predicting inter-hemispheric transfer time from the diffusion properties of the corpus callosum in healthy individuals and schizophrenia patients: A combined ERP and DTI study , 2011, NeuroImage.

[4]  A. Anwander,et al.  Connectivity-Based Parcellation of Broca's Area. , 2006, Cerebral cortex.

[5]  Dominic H. ffytche,et al.  The hodology of hallucinations , 2008, Cortex.

[6]  Bertrand Thirion,et al.  A disconnection account of Gerstmann syndrome: Functional neuroanatomy evidence , 2009, Annals of neurology.

[7]  Lauren B. Curley,et al.  Individual differences in children’s global motion sensitivity correlate with TBSS-based measures of the superior longitudinal fasciculus , 2017, Vision Research.

[8]  Carl-Fredrik Westin,et al.  White matter hemisphere asymmetries in healthy subjects and in schizophrenia: a diffusion tensor MRI study , 2004, NeuroImage.

[9]  Marc Joliot,et al.  Gaussian Mixture Modeling of Hemispheric Lateralization for Language in a Large Sample of Healthy Individuals Balanced for Handedness , 2014, PloS one.

[10]  I. Pavlov,et al.  Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex , 2010, Annals of Neurosciences.

[11]  P. Basser,et al.  New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter , 2004, Magnetic resonance in medicine.

[12]  Michel Thiebaut de Schotten,et al.  Short frontal lobe connections of the human brain , 2012, Cortex.

[13]  Callaghan,et al.  Spin Echo Analysis of Restricted Diffusion under Generalized Gradient Waveforms: Planar, Cylindrical, and Spherical Pores with Wall Relaxivity. , 1999, Journal of magnetic resonance.

[14]  Heidi Johansen-Berg,et al.  Structural Plasticity: Rewiring the Brain , 2007, Current Biology.

[15]  R. Poldrack,et al.  Microstructure of Temporo-Parietal White Matter as a Basis for Reading Ability Evidence from Diffusion Tensor Magnetic Resonance Imaging , 2000, Neuron.

[16]  Timothy P.L. Roberts,et al.  Maturational differences in thalamocortical white matter microstructure and auditory evoked response latencies in autism spectrum disorders , 2013, Brain Research.

[17]  T. Shallice,et al.  Identical, similar or different? Is a single brain model sufficient? , 2017, Cortex.

[18]  H. Duffau,et al.  Direct Evidence for a Parietal-Frontal Pathway Subserving Spatial Awareness in Humans , 2005, Science.

[19]  S. Oliet,et al.  Activity-dependent structural and functional plasticity of astrocyte-neuron interactions. , 2008, Physiological reviews.

[20]  P. Bartolomeo,et al.  White matter lesional predictors of chronic visual neglect: a longitudinal study. , 2015, Brain : a journal of neurology.

[21]  Heidi Johansen-Berg,et al.  Behavioural relevance of variation in white matter microstructure. , 2010, Current opinion in neurology.

[22]  Thomas R. Knösche,et al.  White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.

[23]  Alan Connelly,et al.  Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution , 2007, NeuroImage.

[24]  Maxime Descoteaux,et al.  Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom , 2011, NeuroImage.

[25]  H. Howells,et al.  From Phineas Gage and Monsieur Leborgne to H.M.: Revisiting Disconnection Syndromes , 2015, Cerebral cortex.

[26]  Jonathan Winawer,et al.  A Major Human White Matter Pathway Between Dorsal and Ventral Visual Cortex. , 2016, Cerebral cortex.

[27]  Derek K. Jones Studying connections in the living human brain with diffusion MRI , 2008, Cortex.

[28]  I. Newton Philosophiæ naturalis principia mathematica , 1973 .

[29]  P. Szeszko,et al.  MRI atlas of human white matter , 2006 .

[30]  Robert Turner,et al.  Connectivity architecture and subdivision of the human inferior parietal cortex revealed by diffusion MRI. , 2014, Cerebral cortex.

[31]  Jelle Veraart,et al.  In vivo observation and biophysical interpretation of time-dependent diffusion in human white matter , 2016, NeuroImage.

[32]  Klaas E. Stephan,et al.  The anatomical basis of functional localization in the cortex , 2002, Nature Reviews Neuroscience.

[33]  Nader Pouratian,et al.  Validation of connectivity-based thalamic segmentation with direct electrophysiologic recordings from human sensory thalamus , 2012, NeuroImage.

[34]  C. Beaulieu The Biological Basis of Diffusion Anisotropy , 2009 .

[35]  P. Basser,et al.  Axcaliber: A method for measuring axon diameter distribution from diffusion MRI , 2008, Magnetic resonance in medicine.

[36]  R. Kikinis,et al.  Cingulate fasciculus integrity disruption in schizophrenia: a magnetic resonance diffusion tensor imaging study , 2003, Biological Psychiatry.

[37]  Arnold Skimminge,et al.  Microstructural asymmetry of the corticospinal tracts predicts right–left differences in circle drawing skill in right-handed adolescents , 2016, Brain Structure and Function.

[38]  Robert Leech,et al.  Salience network integrity predicts default mode network function after traumatic brain injury , 2012, Proceedings of the National Academy of Sciences.

[39]  Marco Catani,et al.  From hodology to function. , 2007, Brain : a journal of neurology.

[40]  G. Yovel,et al.  In vivo correlation between axon diameter and conduction velocity in the human brain , 2014, Brain Structure and Function.

[41]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[42]  Tom Eichele,et al.  Posterior Medial Frontal Cortex Activity Predicts Post-Error Adaptations in Task-Related Visual and Motor Areas , 2011, The Journal of Neuroscience.

[43]  Peter C M van Zijl,et al.  Human white matter atlas. , 2007, The American journal of psychiatry.

[44]  P. Bartolomeo,et al.  Botallo's error, or the quandaries of the universality assumption , 2017, Cortex.

[45]  Anatol C. Kreitzer,et al.  Plasticity in gray and white: neuroimaging changes in brain structure during learning , 2012, Nature Neuroscience.

[46]  Hui Zhang,et al.  PGSE, OGSE, and sensitivity to axon diameter in diffusion MRI: Insight from a simulation study , 2015, Magnetic resonance in medicine.

[47]  Daniel C. Alexander,et al.  NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain , 2012, NeuroImage.

[48]  Chris I. Baker,et al.  Teaching an adult brain new tricks: A critical review of evidence for training-dependent structural plasticity in humans , 2013, NeuroImage.

[49]  Timothy Edward John Behrens,et al.  Functional-anatomical validation and individual variation of diffusion tractography-based segmentation of the human thalamus. , 2005, Cerebral cortex.

[50]  J. Wouters,et al.  White matter lateralization and interhemispheric coherence to auditory modulations in normal reading and dyslexic adults , 2013, Neuropsychologia.

[51]  Derek K. Jones,et al.  Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain , 2002, NeuroImage.

[52]  Rogier B Mars,et al.  Connectivity profiles reveal the relationship between brain areas for social cognition in human and monkey temporoparietal cortex , 2013, Proceedings of the National Academy of Sciences.

[53]  P. Basser Diffusion MRI: From Quantitative Measurement to In vivo Neuroanatomy , 2009 .

[54]  Heidi Johansen-Berg,et al.  Individual Differences in White-Matter Microstructure Reflect Variation in Functional Connectivity during Choice , 2007, Current Biology.

[55]  Flavio Dell'Acqua,et al.  Age-Related Differences and Heritability of the Perisylvian Language Networks , 2015, The Journal of Neuroscience.

[56]  Parashkev Nachev,et al.  Space and the parietal cortex , 2007, Trends in Cognitive Sciences.

[57]  Peter J. Basser,et al.  White matter microstructure from nonparametric axon diameter distribution mapping , 2016, NeuroImage.

[58]  Timothy Edward John Behrens,et al.  Diffusion MRI : from quantitative measurement to in vivo neuroanatomy , 2014 .

[59]  M. Rushworth,et al.  Behavioral / Systems / Cognitive Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization , 2008 .

[60]  M. Ptito,et al.  Contrast and stability of the axon diameter index from microstructure imaging with diffusion MRI , 2012, Magnetic resonance in medicine.

[61]  Els Fieremans,et al.  Revealing mesoscopic structural universality with diffusion , 2014, Proceedings of the National Academy of Sciences.

[62]  Christophe Lenglet,et al.  Advances in computational and statistical diffusion MRI , 2019, NMR in biomedicine.

[63]  Simona Temereanca,et al.  A non-invasive method to relate the timing of neural activity to white matter microstructural integrity , 2008, NeuroImage.

[64]  M. Catani,et al.  Can spherical deconvolution provide more information than fiber orientations? Hindrance modulated orientational anisotropy, a true‐tract specific index to characterize white matter diffusion , 2013, Human brain mapping.

[65]  Stefan Skare,et al.  See Blockindiscussions, Blockinstats, Blockinand Blockinauthor Blockinprofiles Blockinfor Blockinthis Blockinpublication Extensive Blockinpiano Blockinpracticing Blockinhas Blockinregionally Specific Blockineffects Blockinon Blockinwhite Blockinmatter Blockindevelopment , 2022 .

[66]  Antoni Rodríguez-Fornells,et al.  Word learning is mediated by the left arcuate fasciculus , 2013, Proceedings of the National Academy of Sciences.

[67]  Angela D. Friederici,et al.  Diffusion tensor imaging segments the human amygdala in vivo , 2010, NeuroImage.

[68]  Timothy E. J. Behrens,et al.  Human and Monkey Ventral Prefrontal Fibers Use the Same Organizational Principles to Reach Their Targets: Tracing versus Tractography , 2013, The Journal of Neuroscience.

[69]  Saad Jbabdi,et al.  Long-range connectomics , 2013, Annals of the New York Academy of Sciences.

[70]  Michel Thiebaut de Schotten,et al.  Double-dissociation between the mechanism leading to impulsivity and inattention in Attention Deficit Hyperactivity Disorder: A resting-state functional connectivity study , 2017, Cortex.

[71]  Declan G. M. Murphy,et al.  Functional segregation and integration within fronto-parietal networks , 2017, NeuroImage.

[72]  Michel Thiebaut de Schotten,et al.  A revised limbic system model for memory, emotion and behaviour , 2013, Neuroscience & Biobehavioral Reviews.

[73]  Elaine J. Anderson,et al.  White Matter Microstructure and Cognitive Function , 2013, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[74]  Y. Assaf,et al.  Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing , 2014, Magnetic resonance in medicine.

[75]  Christian Büchel,et al.  The predictive value of white matter organization in posterior parietal cortex for spatial visualization ability , 2006, NeuroImage.

[76]  Alfonso Mastropietro,et al.  Quantitative Comparison of Spherical Deconvolution Approaches to Resolve Complex Fiber Configurations in Diffusion MRI: ISRA-Based vs L2L0 Sparse Methods , 2017, IEEE Transactions on Biomedical Engineering.

[77]  Paul L. Rosin,et al.  A pitfall in the reconstruction of fibre ODFs using spherical deconvolution of diffusion MRI data , 2013, NeuroImage.

[78]  Alan Connelly,et al.  Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.

[79]  C. Beaulieu Chapter 8 – The Biological Basis of Diffusion Anisotropy , 2014 .

[80]  P. Lauterbur,et al.  Apparent diffusion tensor measurements in myelin‐deficient rat spinal cords , 2001, Magnetic resonance in medicine.

[81]  Timothy Edward John Behrens,et al.  Changes in connectivity profiles define functionally distinct regions in human medial frontal cortex. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[82]  Timothy Edward John Behrens,et al.  Training induces changes in white matter architecture , 2009, Nature Neuroscience.

[83]  Matthew D. Hall,et al.  Dependence of Axon Diameter Index on Maximum Gradient Strength , 2010 .

[84]  Michael S. Gazzaniga,et al.  Functional Connectivity: Integrating Behavioral, Diffusion Tensor Imaging, and Functional Magnetic Resonance Imaging Data Sets , 2005, Journal of Cognitive Neuroscience.

[85]  S C Williams,et al.  Non‐invasive assessment of axonal fiber connectivity in the human brain via diffusion tensor MRI , 1999, Magnetic resonance in medicine.

[86]  Christian Keysers,et al.  Inter‐individual differences in audio‐motor learning of piano melodies and white matter fiber tract architecture , 2014, Human brain mapping.

[87]  A. Wright,et al.  Magnetic resonance microimaging of intraaxonal water diffusion in live excised lamprey spinal cord , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[88]  S. Waxman Determinants of conduction velocity in myelinated nerve fibers , 1980, Muscle & nerve.

[89]  A. Benton,et al.  On Aphasia , 1874, British medical journal.

[90]  H. Karnath,et al.  Using human brain lesions to infer function: a relic from a past era in the fMRI age? , 2004, Nature Reviews Neuroscience.

[91]  M. Catani,et al.  A diffusion tensor imaging tractography atlas for virtual in vivo dissections , 2008, Cortex.

[92]  Flavio Dell'Acqua,et al.  Anatomical predictors of aphasia recovery: a tractography study of bilateral perisylvian language networks. , 2014, Brain : a journal of neurology.

[93]  M. Rushworth,et al.  Connectivity reveals relationship of brain areas for reward-guided learning and decision making in human and monkey frontal cortex , 2015, Proceedings of the National Academy of Sciences.

[94]  Chris Rorden,et al.  The anatomy of spatial neglect based on voxelwise statistical analysis: a study of 140 patients. , 2004, Cerebral cortex.

[95]  Stanislas Dehaene,et al.  Learning to read improves the structure of the arcuate fasciculus. , 2014, Cerebral cortex.

[96]  Julien Cohen-Adad,et al.  The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter , 2015, NeuroImage.

[97]  Yasuyuki Taki,et al.  White matter structures associated with creativity: Evidence from diffusion tensor imaging , 2010, NeuroImage.

[98]  C. Keysers,et al.  Probabilistic tractography recovers a rostrocaudal trajectory of connectivity variability in the human insular cortex , 2011, Human brain mapping.

[99]  M. Caulo,et al.  Multimodal assessment of hemispheric lateralization for language and its relevance for behavior , 2016, NeuroImage.

[100]  Hui Zhang,et al.  Axon diameter mapping in the presence of orientation dispersion with diffusion MRI , 2011, NeuroImage.

[101]  Alberto Bizzi,et al.  Disentangling subgroups of participants recruiting shared as well as different brain regions for the execution of the verb generation task: A data-driven fMRI study , 2017, Cortex.

[102]  Hui Zhang,et al.  Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI , 2010, MICCAI.

[103]  Marcela Perrone-Bertolotti,et al.  Multi-factorial modulation of hemispheric specialization and plasticity for language in healthy and pathological conditions: A review , 2017, Cortex.

[104]  P. Gloor,et al.  The connections of the amygdala and of the anterior temporal cortex in the human brain , 1960, The Journal of comparative neurology.

[105]  Mara Cercignani,et al.  Twenty‐five pitfalls in the analysis of diffusion MRI data , 2010, NMR in biomedicine.

[106]  Y. Cohen,et al.  High b‐value q‐space analyzed diffusion‐weighted MRS and MRI in neuronal tissues – a technical review , 2002, NMR in biomedicine.

[107]  Hui Zhang,et al.  Imaging brain microstructure with diffusion MRI: practicality and applications , 2019, NMR in biomedicine.

[108]  P. Basser,et al.  In-vivo Measurement of the Axon Diameter Distribution in the Rat ’ s Corpus Callosum , 2007 .

[109]  Derek K. Jones,et al.  Symmetries in human brain language pathways correlate with verbal recall , 2007, Proceedings of the National Academy of Sciences.

[110]  Richard S. J. Frackowiak,et al.  Evidence for Segregated and Integrative Connectivity Patterns in the Human Basal Ganglia , 2008, The Journal of Neuroscience.

[111]  F. Wörgötter,et al.  Activity-dependent structural plasticity , 2009, Brain Research Reviews.

[112]  Nader Pouratian,et al.  Multi-institutional evaluation of deep brain stimulation targeting using probabilistic connectivity-based thalamic segmentation. , 2011, Journal of neurosurgery.

[113]  K. Uğurbil,et al.  fMRI: From Nuclear Spins to Brain Functions , 2015, Biological Magnetic Resonance.

[114]  Andrew Zalesky,et al.  Building connectomes using diffusion MRI: why, how and but , 2017, NMR in biomedicine.

[115]  D. Le Bihan,et al.  Direct and fast detection of neuronal activation in the human brain with diffusion MRI. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[116]  Giuseppe Scotti,et al.  A modified damped Richardson–Lucy algorithm to reduce isotropic background effects in spherical deconvolution , 2010, NeuroImage.

[117]  S. Ichinose,et al.  Extension of Corticocortical Afferents into the Anterior Bank of the Intraparietal Sulcus by Tool-use Training in Adult Monkeys , 2005 .

[118]  M. Catani,et al.  Diffusion-based tractography in neurological disorders: concepts, applications, and future developments , 2008, The Lancet Neurology.

[119]  Geraint Rees,et al.  Relating Introspective Accuracy to Individual Differences in Brain Structure , 2010, Science.

[120]  Denis Le Bihan,et al.  Looking into the functional architecture of the brain with diffusion MRI , 2003, Nature Reviews Neuroscience.

[121]  Timothy E. J. Behrens,et al.  Measuring macroscopic brain connections in vivo , 2015, Nature Neuroscience.

[122]  Katharine N. Thakkar,et al.  Speed of saccade execution and inhibition associated with fractional anisotropy in distinct fronto‐frontal and fronto‐striatal white matter pathways , 2016, Human brain mapping.

[123]  Derek K. Jones,et al.  A diffusion tensor imaging study of fasciculi in schizophrenia. , 2007, The American journal of psychiatry.

[124]  Masud Husain,et al.  Expert Cognitive Control and Individual Differences Associated with Frontal and Parietal White Matter Microstructure , 2010, The Journal of Neuroscience.

[125]  J. Hursh THE PROPERTIES OF GROWING NERVE FIBERS , 1939 .

[126]  H. Moser,et al.  Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking , 2002, Magnetic resonance in medicine.

[127]  Leif Østergaard,et al.  Modeling dendrite density from magnetic resonance diffusion measurements , 2007, NeuroImage.

[128]  K. Svoboda,et al.  Experience-dependent structural synaptic plasticity in the mammalian brain , 2009, Nature Reviews Neuroscience.

[129]  C. Monakow,et al.  Die Lokalisation im Grosshirn und der Abbau der Funktion durch kortikale Herde , 1914 .

[130]  Yaniv Assaf,et al.  Learning in the Fast Lane: New Insights into Neuroplasticity , 2012, Neuron.

[131]  Y. Assaf,et al.  Diffusion MRI of Structural Brain Plasticity Induced by a Learning and Memory Task , 2011, PloS one.

[132]  G. Pearlson,et al.  In vivo visualization of human neural pathways by magnetic resonance imaging , 2000, Annals of neurology.

[133]  M. Catani,et al.  Altered connections on the road to psychopathy , 2009, Molecular Psychiatry.

[134]  T. Jernigan,et al.  Sustained attention is associated with right superior longitudinal fasciculus and superior parietal white matter microstructure in children , 2013, Human brain mapping.

[135]  C. Rampon,et al.  Adult Hippocampal Neurogenesis, Synaptic Plasticity and Memory: Facts and Hypotheses , 2007, Reviews in the neurosciences.

[136]  Pascal Jourdain,et al.  LTP, memory and structural plasticity. , 2002, Current molecular medicine.

[137]  M. Thiebaut de Schotten,et al.  Atlasing the frontal lobe connections and their variability due to age and education: a spherical deconvolution tractography study , 2015, Brain Structure and Function.

[138]  C. Wernicke Der aphasische Symptomencomplex: Eine psychologische Studie auf anatomischer Basis , 1874 .

[139]  Yaniv Assaf,et al.  Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain , 2005, NeuroImage.

[140]  P. Broca Sur le siège de la faculté du langage articulé , 1865 .

[141]  Serge Laroche,et al.  Brain Plasticity Mechanisms and Memory: A Party of Four , 2007, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[142]  Stephanie J. Forkel,et al.  Altered Integrity of Perisylvian Language Pathways in Schizophrenia: Relationship to Auditory Hallucinations , 2011, Biological Psychiatry.

[143]  Karla L Miller,et al.  Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances , 2018, NMR in biomedicine.

[144]  Franck Ramus,et al.  Altered hemispheric lateralization of white matter pathways in developmental dyslexia: Evidence from spherical deconvolution tractography , 2016, Cortex.

[145]  Patrick C M Wong,et al.  White Matter Anisotropy in the Ventral Language Pathway Predicts Sound-to-Word Learning Success , 2011, The Journal of Neuroscience.

[146]  Helen D'Arceuil,et al.  Connectivity-based parcellation of the macaque frontal cortex, and its relation with the cytoarchitectonic distribution described in current atlases , 2017, Brain Structure and Function.

[147]  D. Louis Collins,et al.  Brain templates and atlases , 2012, NeuroImage.

[148]  Timothy Edward John Behrens,et al.  Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Lateral Premotor Cortex Identifies Dorsal and Ventral Subregions with Anatomical and Functional Specializations , 2007, The Journal of Neuroscience.

[149]  Timothy Edward John Behrens,et al.  Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging , 2003, Nature Neuroscience.

[150]  R. Kikinis,et al.  Uncinate fasciculus findings in schizophrenia: a magnetic resonance diffusion tensor imaging study. , 2002, The American journal of psychiatry.

[151]  M. Mallar Chakravarty,et al.  Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy , 2010, NeuroImage.

[152]  Christine Delmaire,et al.  Visualization of disconnection syndromes in humans , 2008, Cortex.

[153]  Heidi Johansen-Berg,et al.  White matter integrity in the vicinity of Broca's area predicts grammar learning success , 2009, NeuroImage.

[154]  K. Lashley STUDIES OF CEREBRAL FUNCTION IN LEARNING: IV. Vicarious Function after Destruction of the Visual Areas , 1922 .

[155]  D. Neary Lesion Analysis in Neuropsychology , 1990 .

[156]  K. Yağmurlu,et al.  Three-Dimensional Topographic Fiber Tract Anatomy of the Cerebrum , 2015, Neurosurgery.

[157]  Brian T. Gold,et al.  Speed of lexical decision correlates with diffusion anisotropy in left parietal and frontal white matter: Evidence from diffusion tensor imaging , 2007, Neuropsychologia.

[158]  B. Wandell,et al.  Children's Reading Performance is Correlated with White Matter Structure Measured by Diffusion Tensor Imaging , 2005, Cortex.

[159]  J. Knott The organization of behavior: A neuropsychological theory , 1951 .

[160]  F. Dick,et al.  Voxel-based lesion–symptom mapping , 2003, Nature Neuroscience.

[161]  Galia Avidan,et al.  Reduced structural connectivity in ventral visual cortex in congenital prosopagnosia , 2009, Nature Neuroscience.

[162]  Ann M. Stowe,et al.  Extensive Cortical Rewiring after Brain Injury , 2005, The Journal of Neuroscience.

[163]  Y. Yovel,et al.  AxCaliber – A Method to Measure the Axon Diameter Distribution and Density in Neuronal Tissues , 2005 .

[164]  P. Bartolomeo,et al.  Left unilateral neglect as a disconnection syndrome. , 2007, Cerebral cortex.

[165]  Stuart M. Grieve,et al.  Thalamic volume and thalamo-cortical white matter tracts correlate with motor and verbal memory performance , 2014, NeuroImage.

[166]  M. Catani,et al.  Monkey to human comparative anatomy of the frontal lobe association tracts , 2012, Cortex.

[167]  Svenja Caspers,et al.  Decoding the microstructural correlate of diffusion MRI , 2019, NMR in biomedicine.

[168]  P. Basser Inferring microstructural features and the physiological state of tissues from diffusion‐weighted images , 1995, NMR in biomedicine.

[169]  D. Salat,et al.  Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[170]  Manabu Kinoshita,et al.  Fiber-tracking does not accurately estimate size of fiber bundle in pathological condition: initial neurosurgical experience using neuronavigation and subcortical white matter stimulation , 2005, NeuroImage.

[171]  G. Tononi,et al.  Diaschisis: past, present, future. , 2014, Brain : a journal of neurology.

[172]  C. Kennard,et al.  Functional role of the supplementary and pre-supplementary motor areas , 2008, Nature Reviews Neuroscience.

[173]  Stefan Klöppel,et al.  The cortical motor threshold reflects microstructural properties of cerebral white matter , 2008, NeuroImage.

[174]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[175]  Derek K. Jones,et al.  Subgenual Cingulum Microstructure Supports Control of Emotional Conflict , 2016, Cerebral cortex.

[176]  K. Amunts,et al.  Anatomical Basis for Functional Specialization , 2015 .

[177]  Stanley Finger,et al.  The Monakow concept of diaschisis: origins and perspectives. , 2004, Archives of neurology.

[178]  C. H. Neuman Spin echo of spins diffusing in a bounded medium , 1974 .

[179]  J. Dejerine,et al.  Contribution a l'etude anatomo-pathologique et clinique des differentes varietes de cecite verbale , 2000 .

[180]  Adam G. Thomas,et al.  The Organization of Dorsal Frontal Cortex in Humans and Macaques , 2013, The Journal of Neuroscience.

[181]  Paolo Bartolomeo,et al.  The quest for the ‘critical lesion site’ in cognitive deficits: Problems and perspectives , 2011, Cortex.

[182]  Timothy Edward John Behrens,et al.  Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skills , 2007, NeuroImage.

[183]  Nikos K. Logothetis,et al.  Distribution of axon diameters in cortical white matter: an electron-microscopic study on three human brains and a macaque , 2014, Biological Cybernetics.

[184]  R. Douglas Fields,et al.  Control of Local Protein Synthesis and Initial Events in Myelination by Action Potentials , 2011, Science.

[185]  Massimo Silvetti,et al.  Damage to white matter pathways in subacute and chronic spatial neglect: a group study and 2 single-case studies with complete virtual "in vivo" tractography dissection. , 2012, Cerebral cortex.

[186]  Arthur W. Toga,et al.  Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter , 2008, NeuroImage.

[187]  Heidi Johansen-Berg,et al.  Structural correlates of skilled performance on a motor sequence task , 2012, Front. Hum. Neurosci..

[188]  Romain Valabregue,et al.  Subdivision of the occipital lobes: An anatomical and functional MRI connectivity study , 2014, Cortex.

[189]  Chun-Hung Yeh,et al.  Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data , 2008, NeuroImage.

[190]  B. Dubois,et al.  Rostro-caudal Architecture of the Frontal Lobes in Humans , 2016, Cerebral cortex.

[191]  J. M. Ritchie,et al.  On the relation between fibre diameter and conduction velocity in myelinated nerve fibres , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[192]  K. Lashley Studies of Cerebral Function in Learning. II. The Effects of Long Continued Practice upon Cerebral L , 1921 .

[193]  M. Hudson Human , 2018, Critical Theory and the Classical World.

[194]  Timothy Edward John Behrens,et al.  Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Parietal Cortex and Comparison with Human and Macaque Resting-State Functional Connectivity , 2011, The Journal of Neuroscience.

[195]  Ben Jeurissen,et al.  Diffusion MRI fiber tractography of the brain , 2019, NMR in biomedicine.

[196]  Karla L. Miller,et al.  The extreme capsule fiber complex in humans and macaque monkeys: a comparative diffusion MRI tractography study , 2015, Brain Structure and Function.

[197]  I. Bone,et al.  ‘The Axon–Structure, function and Pathophysiology’ , 1998, Spinal Cord.

[198]  G. Rees,et al.  The structural basis of inter-individual differences in human behaviour and cognition , 2011, Nature Reviews Neuroscience.

[199]  L. Petit,et al.  New insights in the homotopic and heterotopic connectivity of the frontal portion of the human corpus callosum revealed by microdissection and diffusion tractography , 2016, Human brain mapping.

[200]  D. Hubl,et al.  Pathways that make voices: white matter changes in auditory hallucinations. , 2004, Archives of general psychiatry.

[201]  V. Kiselev,et al.  Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation , 2016, NMR in biomedicine.

[202]  Steen Moeller,et al.  Advances in diffusion MRI acquisition and processing in the Human Connectome Project , 2013, NeuroImage.

[203]  Karl J. Friston,et al.  Dynamic Diaschisis: Anatomically Remote and Context-Sensitive Human Brain Lesions , 2001, Journal of Cognitive Neuroscience.

[204]  J. Klein,et al.  Human Motor Corpus Callosum: Topography, Somatotopy, and Link between Microstructure and Function , 2007, The Journal of Neuroscience.

[205]  Derek K. Jones,et al.  Including diffusion time dependence in the extra-axonal space improves in vivo estimates of axonal diameter and density in human white matter , 2016, NeuroImage.

[206]  Matthew P. G. Allin,et al.  Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography , 2011, NeuroImage.

[207]  M. Raichle,et al.  Tracking neuronal fiber pathways in the living human brain. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[208]  Derek K. Jones,et al.  Perisylvian language networks of the human brain , 2005, Annals of neurology.

[209]  Derek K. Jones,et al.  Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging , 2013, Human brain mapping.

[210]  B. Wandell,et al.  The vertical occipital fasciculus: A century of controversy resolved by in vivo measurements , 2014, Proceedings of the National Academy of Sciences.

[211]  Mark F. Lythgoe,et al.  Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison , 2012, NeuroImage.

[212]  M. Mesulam Imaging connectivity in the human cerebral cortex: The next frontier? , 2005, Annals of neurology.

[213]  Kaan Yagmurlu,et al.  Fiber tracts of the dorsal language stream in the human brain. , 2016, Journal of neurosurgery.

[214]  G. J. Lewis,et al.  Trait conscientiousness and the personality meta-trait stability are associated with regional white matter microstructure , 2016, Social cognitive and affective neuroscience.

[215]  Denis Le Bihan,et al.  Imagerie de diffusion in-vivo par résonance magnétique nucléaire , 1985 .

[216]  Michel Thiebaut de Schotten,et al.  Atlas of Human Brain Connections , 2012 .

[217]  On the Relation between the Conduction-rate , the Fibre-diameter and the Internodal Distance of the Medullated Nerve Fibre , 2007 .

[218]  M. Catani,et al.  A lateralized brain network for visuospatial attention , 2011, Nature Neuroscience.

[219]  Thomas R. Barrick,et al.  Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection , 2008, NeuroImage.

[220]  A. Szafer,et al.  An analytical model of restricted diffusion in bovine optic nerve , 1997, Magnetic resonance in medicine.