Diffusion-MRI in neurodegenerative disorders

Einstein, 1956 Johansen-Berg, 2009 Beaulieu, 2002, The basis of anisotropic water diffusion in the nervous system — a technical review, NMR Biomed, 15, 435, 10.1002/nbm.782 Jones, 2010 Tournier, 2011, Diffusion tensor imaging and beyond, Magn Reson Med, 65, 1532, 10.1002/mrm.22924 Brodaty, 2011, The world of dementia beyond 2020, J Am Geriatr Soc, 59, 923, 10.1111/j.1532-5415.2011.03365.x Albert, 2011, The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease, Alzheimers Dement, 7, 270, 10.1016/j.jalz.2011.03.008 Sperling, 2011, Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease, Alzheimers Dement, 7, 280, 10.1016/j.jalz.2011.03.003 Brun, 1986, A white matter disorder in dementia of the Alzheimer type: a pathoanatomical study, Ann Neurol, 19, 253, 10.1002/ana.410190306 Gouw, 2008, Heterogeneity of white matter hyperintensities in Alzheimer's disease: post-mortem quantitative MRI and neuropathology, Brain, 131, 3286, 10.1093/brain/awn265 Scheltens, 1995, Histopathologic correlates of white matter changes on MRI in Alzheimer's disease and normal aging, Neurology, 45, 883, 10.1212/WNL.45.5.883 Sjobeck, 2006, White matter mapping in Alzheimer's disease: a neuropathological study, Neurobiol Aging, 27, 673, 10.1016/j.neurobiolaging.2005.03.007 Roher, 2002, Increased A beta peptides and reduced cholesterol and myelin proteins characterize white matter degeneration in Alzheimer's disease, Biochemistry, 41, 11080, 10.1021/bi026173d Bartzokis, 2004, Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer's disease, Neurobiol Aging, 25, 5, 10.1016/j.neurobiolaging.2003.03.001 Reisberg, 2002, Evidence and mechanisms of retrogenesis in Alzheimer's and other dementias: management and treatment import, Am J Alzheimers Dis Other Demen, 17, 202, 10.1177/153331750201700411 Bartzokis, 2007, Human brain myelination and amyloid beta deposition in Alzheimer's disease, Alzheimers Dement, 3, 122, 10.1016/j.jalz.2007.01.019 Coleman, 2005, Axon degeneration mechanisms: commonality amid diversity, Nat Rev Neurosci, 6, 889, 10.1038/nrn1788 Mori, 2007 Teipel, 2013, Relevance of magnetic resonance imaging for early detection and diagnosis of Alzheimer disease, Med Clin North Am, 97, 399, 10.1016/j.mcna.2012.12.013 Teipel, 2008, Novel MRI techniques in the assessment of dementia, Eur J Nucl Med Mol Imaging, 35, S58, 10.1007/s00259-007-0703-z Teipel, 2012, Anatomical MRI and DTI in the diagnosis of Alzheimer's disease: a European multicenter study, J Alzheimers Dis, S33, 10.3233/JAD-2012-112118 Lista, 2013, Imaging epigenetics in Alzheimer's disease, Curr Pharm Des, 19, 6393, 10.2174/13816128113199990370 Stricker, 2009, Decreased white matter integrity in late-myelinating fiber pathways in Alzheimer's disease supports retrogenesis, Neuroimage, 45, 10, 10.1016/j.neuroimage.2008.11.027 Choi, 2005, Diffusion tensor imaging of frontal white matter microstructure in early Alzheimer's disease: a preliminary study, J Geriatr Psychiatry Neurol, 18, 12, 10.1177/0891988704271763 Huang, 2007, Diffusion tensor imaging of normal-appearing white matter in mild cognitive impairment and early Alzheimer disease: preliminary evidence of axonal degeneration in the temporal lobe, AJNR Am J Neuroradiol, 28, 1943, 10.3174/ajnr.A0700 Bozzali, 2002, White matter damage in Alzheimer's disease assessed in vivo using diffusion tensor magnetic resonance imaging, J Neurol Neurosurg Psychiatry, 72, 742, 10.1136/jnnp.72.6.742 Sexton, 2011, A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease, Neurobiol Aging, 32, 2322.e5, 10.1016/j.neurobiolaging.2010.05.019 Mielke, 2012, Fornix integrity and hippocampal volume predict memory decline and progression to Alzheimer's disease, Alzheimers Dement, 8, 105, 10.1016/j.jalz.2011.05.2416 Nowrangi, 2012, Longitudinal, region-specific course of diffusion tensor imaging measures in mild cognitive impairment and Alzheimer's disease, Alzheimers Dement Stahl, 2007, White matter damage in Alzheimer disease and mild cognitive impairment: assessment with diffusion-tensor MR imaging and parallel imaging techniques, Radiology, 243, 483, 10.1148/radiol.2432051714 Head, 2004, Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging, Cereb Cortex, 14, 410, 10.1093/cercor/bhh003 Zhang, 2007, Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease, Neurology, 68, 13, 10.1212/01.wnl.0000250326.77323.01 Kavcic, 2008, White matter integrity linked to functional impairments in aging and early Alzheimer's disease, Alzheimers Dement, 4, 381, 10.1016/j.jalz.2008.07.001 Fellgiebel, 2008, Functional relevant loss of long association fibre tracts integrity in early Alzheimer's disease, Neuropsychologia, 46, 1698, 10.1016/j.neuropsychologia.2007.12.010 Stebbins, 2009, Diffusion tensor imaging in Alzheimer's disease and mild cognitive impairment, Behav Neurol, 21, 39, 10.1155/2009/915041 Damoiseaux, 2009, White matter tract integrity in aging and Alzheimer's disease, Hum Brain Mapp, 30, 1051, 10.1002/hbm.20563 Mielke, 2009, Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease, Neuroimage, 46, 47, 10.1016/j.neuroimage.2009.01.054 Medina, 2006, White matter changes in mild cognitive impairment and AD: a diffusion tensor imaging study, Neurobiol Aging, 27, 663, 10.1016/j.neurobiolaging.2005.03.026 Rose, 2006, Diffusion indices on magnetic resonance imaging and neuropsychological performance in amnestic mild cognitive impairment, J Neurol Neurosurg Psychiatry, 77, 1122, 10.1136/jnnp.2005.074336 Acosta-Cabronero, 2010, Absolute diffusivities define the landscape of white matter degeneration in Alzheimer's disease, Brain, 133, 529, 10.1093/brain/awp257 Fellgiebel, 2011, Diffusion tensor imaging of the hippocampus in MCI and early Alzheimer's disease, J Alzheimers Dis, 26, 257, 10.3233/JAD-2011-0001 Budde, 2009, Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis, J Neurosci, 29, 2805, 10.1523/JNEUROSCI.4605-08.2009 Song, 2003, Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia, Neuroimage, 20, 1714, 10.1016/j.neuroimage.2003.07.005 Smith, 2006, Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data, Neuroimage, 31, 1487, 10.1016/j.neuroimage.2006.02.024 Bosch, 2012, Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance, Neurobiol Aging, 33, 61, 10.1016/j.neurobiolaging.2010.02.004 Di Paola, 2010, When, where, and how the corpus callosum changes in MCI and AD: a multimodal MRI study, Neurology, 74, 1136, 10.1212/WNL.0b013e3181d7d8cb O'Dwyer, 2011, Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease, PLoS One, 6, e21745, 10.1371/journal.pone.0021745 Liu, 2011, Diffusion tensor imaging and tract-based spatial statistics in Alzheimer's disease and mild cognitive impairment, Neurobiol Aging, 32, 1558, 10.1016/j.neurobiolaging.2009.10.006 Acosta-Cabronero, 2012, Diffusion tensor metrics as biomarkers in Alzheimer's disease, PLoS One, 7, e49072, 10.1371/journal.pone.0049072 Agosta, 2011, White matter damage in Alzheimer disease and its relationship to gray matter atrophy, Radiology, 258, 853, 10.1148/radiol.10101284 Alves, 2012, Different patterns of white matter degeneration using multiple diffusion indices and volumetric data in mild cognitive impairment and Alzheimer patients, PLoS One, 7, e52859, 10.1371/journal.pone.0052859 Song, 2004, Diffusion tensor imaging detects age-dependent white matter changes in a transgenic mouse model with amyloid deposition, Neurobiol Dis, 15, 640, 10.1016/j.nbd.2003.12.003 Ghoshal, 2002, Tau conformational changes correspond to impairments of episodic memory in mild cognitive impairment and Alzheimer's disease, Exp Neurol, 177, 475, 10.1006/exnr.2002.8014 Kalus, 2006, Examining the gateway to the limbic system with diffusion tensor imaging: the perforant pathway in dementia, Neuroimage, 30, 713, 10.1016/j.neuroimage.2005.10.035 Kanaan, 2013, Axonal degeneration in Alzheimer's disease: when signaling abnormalities meet the axonal transport system, Exp Neurol, 246, 44, 10.1016/j.expneurol.2012.06.003 Vana, 2011, Progression of tau pathology in cholinergic basal forebrain neurons in mild cognitive impairment and Alzheimer's disease, Am J Pathol, 179, 2533, 10.1016/j.ajpath.2011.07.044 van Bruggen, 2012, Do Alzheimer-specific microstructural changes in mild cognitive impairment predict conversion?, Psychiatry Res, 203, 184, 10.1016/j.pscychresns.2011.12.003 Selnes, 2013, Diffusion tensor imaging surpasses cerebrospinal fluid as predictor of cognitive decline and medial temporal lobe atrophy in subjective cognitive impairment and mild cognitive impairment, J Alzheimers Dis, 33, 723, 10.3233/JAD-2012-121603 Basser, 2002, Diffusion-tensor MRI: theory, experimental design and data analysis — a technical review, NMR Biomed, 15, 456, 10.1002/nbm.783 Grinberg, 2011, Non-Gaussian diffusion in human brain tissue at high b-factors as examined by a combined diffusion kurtosis and biexponential diffusion tensor analysis, Neuroimage, 57, 1087, 10.1016/j.neuroimage.2011.04.050 Clark, 2000, Water diffusion compartmentation and anisotropy at high b values in the human brain, Magn Reson Med, 44, 852, 10.1002/1522-2594(200012)44:6<852::AID-MRM5>3.0.CO;2-A De Santis, 2011, Non-Gaussian diffusion imaging: a brief practical review, Magn Reson Imaging, 29, 1410, 10.1016/j.mri.2011.04.006 Bester, 2014, Non-Gaussian diffusion MRI of gray matter is associated with cognitive impairment in multiple sclerosis, Mult Scler, 10.1177/1352458514556295 Wu, 2010, MR diffusion kurtosis imaging for neural tissue characterization, NMR Biomed, 23, 836, 10.1002/nbm.1506 Van Cauter, 2012, Gliomas: diffusion kurtosis MR imaging in grading, Radiology, 263, 492, 10.1148/radiol.12110927 Lee, 2013, Microstructural integrity of early- versus late-myelinating white matter tracts in medial temporal lobe epilepsy, Epilepsia, 54, 1801, 10.1111/epi.12353 Hui, 2012, Stroke assessment with diffusional kurtosis imaging, Stroke, 43, 2968, 10.1161/STROKEAHA.112.657742 Blockx, 2012, Microstructural changes observed with DKI in a transgenic Huntington rat model: evidence for abnormal neurodevelopment, Neuroimage, 59, 957, 10.1016/j.neuroimage.2011.08.062 Falangola, 2013, Non-Gaussian diffusion MRI assessment of brain microstructure in mild cognitive impairment and Alzheimer's disease, Magn Reson Imaging, 31, 840, 10.1016/j.mri.2013.02.008 Jensen, 2005, Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging, Magn Reson Med, 53, 1432, 10.1002/mrm.20508 Jensen, 2010, MRI quantification of non-Gaussian water diffusion by kurtosis analysis, NMR Biomed, 23, 698, 10.1002/nbm.1518 Steven, 2014, Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain, AJR Am J Roentgenol, 202, W26, 10.2214/AJR.13.11365 Gong, 2014, Aging in deep gray matter and white matter revealed by diffusional kurtosis imaging, Neurobiol Aging, 35, 2203, 10.1016/j.neurobiolaging.2014.03.011 Gao, 2015, Microstructural brain abnormalities of children of idiopathic generalized epilepsy with generalized tonic-clonic seizure: a voxel-based diffusional kurtosis imaging study, J Magn Reson Imaging, 41, 1088, 10.1002/jmri.24647 Bonilha, 2015, Altered microstructure in temporal lobe epilepsy: a diffusional kurtosis imaging study, AJNR Am J Neuroradiol, 36, 719, 10.3174/ajnr.A4185 Gao, 2012, Diffusion abnormalities in temporal lobes of children with temporal lobe epilepsy: a preliminary diffusional kurtosis imaging study and comparison with diffusion tensor imaging, NMR Biomed, 25, 1369, 10.1002/nbm.2809 Jespersen, 2012, Determination of axonal and dendritic orientation distributions within the developing cerebral cortex by diffusion tensor imaging, IEEE Trans Med Imaging, 31, 16, 10.1109/TMI.2011.2162099 Fieremans, 2011, White matter characterization with diffusional kurtosis imaging, Neuroimage, 58, 177, 10.1016/j.neuroimage.2011.06.006 Hui, 2015, Kurtosis analysis of neural diffusion organization, Neuroimage, 106, 391, 10.1016/j.neuroimage.2014.11.015 Jelescu, 2015, One diffusion acquisition and different white matter models: how does microstructure change in human early development based on WMTI and NODDI?, Neuroimage, 107, 242, 10.1016/j.neuroimage.2014.12.009 Gong, 2013, Correlations between microstructural alterations and severity of cognitive deficiency in Alzheimer's disease and mild cognitive impairment: a diffusional kurtosis imaging study, Magn Reson Imaging, 31, 688, 10.1016/j.mri.2012.10.027 Fieremans, 2013, Novel white matter tract integrity metrics sensitive to Alzheimer disease progression, AJNR Am J Neuroradiol, 10.3174/ajnr.A3553 Zarei, 2009, Regional white matter integrity differentiates between vascular dementia and Alzheimer disease, Stroke, 40, 773, 10.1161/STROKEAHA.108.530832 Kiuchi, 2009, Abnormalities of the uncinate fasciculus and posterior cingulate fasciculus in mild cognitive impairment and early Alzheimer's disease: a diffusion tensor tractography study, Brain Res, 1287, 184, 10.1016/j.brainres.2009.06.052 Bozzali, 2011, Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer's disease, Neuroimage, 54, 2045, 10.1016/j.neuroimage.2010.08.069 Bozzali, 2012, Damage to the cingulum contributes to Alzheimer's disease pathophysiology by deafferentation mechanism, Hum Brain Mapp, 33, 1295, 10.1002/hbm.21287 Fischer, 2012, Automated tractography of the cingulate bundle in Alzheimer's disease: a multicenter DTI study, J Magn Reson Imaging, 36, 84, 10.1002/jmri.23621 Douaud, 2011, DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease, Neuroimage, 55, 880, 10.1016/j.neuroimage.2010.12.008 Pievani, 2010, Assessment of white matter tract damage in mild cognitive impairment and Alzheimer's disease, Hum Brain Mapp, 31, 1862, 10.1002/hbm.20978 Nezamzadeh, 2010, In-vivo investigation of the human cingulum bundle using the optimization of MR diffusion spectrum imaging, Eur J Radiol, 75, e29, 10.1016/j.ejrad.2009.06.019 Pfefferbaum, 2005, Frontal circuitry degradation marks healthy adult aging: evidence from diffusion tensor imaging, Neuroimage, 26, 891, 10.1016/j.neuroimage.2005.02.034 Sullivan, 2006, Diffusion tensor imaging and aging, Neurosci Biobehav Rev, 30, 749, 10.1016/j.neubiorev.2006.06.002 Honea, 2009, Impact of APOE on the healthy aging brain: a voxel-based MRI and DTI study, J Alzheimers Dis, 18, 553, 10.3233/JAD-2009-1163 Persson, 2006, Altered brain white matter integrity in healthy carriers of the APOE epsilon4 allele: a risk for AD?, Neurology, 66, 1029, 10.1212/01.wnl.0000204180.25361.48 Ryan, 2011, Age-related differences in white matter integrity and cognitive function are related to APOE status, Neuroimage, 54, 1565, 10.1016/j.neuroimage.2010.08.052 Heise, 2011, The APOE varepsilon4 allele modulates brain white matter integrity in healthy adults, Mol Psychiatry, 16, 908, 10.1038/mp.2010.90 Bendlin, 2010, White matter is altered with parental family history of Alzheimer's disease, Alzheimers Dement, 6, 394, 10.1016/j.jalz.2009.11.003 Bendlin, 2012, CSF T-Tau/Abeta42 predicts white matter microstructure in healthy adults at risk for Alzheimer's disease, PLoS One, 7, e37720, 10.1371/journal.pone.0037720 Adluru, 2014, White matter microstructure in late middle-age: effects of apolipoprotein E4 and parental family history of Alzheimer's disease, Neuroimage Clin, 4, 730, 10.1016/j.nicl.2014.04.008 Racine, 2014, Associations between white matter microstructure and amyloid burden in preclinical Alzheimer's disease: a multimodal imaging investigation, Neuroimage Clin, 4, 604, 10.1016/j.nicl.2014.02.001 Sporns, 2010 Rubinov, 2010, Complex network measures of brain connectivity: uses and interpretations, Neuroimage, 52, 1059, 10.1016/j.neuroimage.2009.10.003 Lo, 2010, Diffusion tensor tractography reveals abnormal topological organization in structural cortical networks in Alzheimer's disease, J Neurosci, 30, 16876, 10.1523/JNEUROSCI.4136-10.2010 Shu, 2012, Disrupted topological organization in white matter structural networks in amnestic mild cognitive impairment: relationship to subtype, Radiology, 265, 518, 10.1148/radiol.12112361 Brown, 2011, Brain network local interconnectivity loss in aging APOE-4 allele carriers, Proc Natl Acad Sci U S A, 108, 20760, 10.1073/pnas.1109038108 Prescott, 2014, Alzheimer's Disease Neuroimaging I. The Alzheimer structural connectome: changes in cortical network topology with increased amyloid plaque burden, Radiology, 273, 175, 10.1148/radiol.14132593 O'Dwyer, 2012, Using support vector machines with multiple indices of diffusion for automated classification of mild cognitive impairment, PLoS One, 7, e32441, 10.1371/journal.pone.0032441 Wee, 2012, Identification of MCI individuals using structural and functional connectivity networks, Neuroimage, 59, 2045, 10.1016/j.neuroimage.2011.10.015 Diciotti, 2013, The "peeking" effect in supervised feature selection on diffusion tensor imaging data, AJNR Am J Neuroradiol, 34, E107, 10.3174/ajnr.A3685 de Rijk, 2000, Prevalence of Parkinson's disease in Europe: a collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group, Neurology, 54, S21 Lilienfeld, 1993, Projected neurodegenerative disease mortality in the United States, 1990–2040, Neuroepidemiology, 12, 219, 10.1159/000110320 Braak, 2004, Stages in the development of Parkinson's disease-related pathology, Cell Tissue Res, 318, 121, 10.1007/s00441-004-0956-9 Aarsland, 2001, Risk of dementia in Parkinson's disease: a community-based, prospective study, Neurology, 56, 730, 10.1212/WNL.56.6.730 Williams-Gray, 2007, Evolution of cognitive dysfunction in an incident Parkinson's disease cohort, Brain, 130, 1787, 10.1093/brain/awm111 Mascalchi, 2012, Movement disorders: role of imaging in diagnosis, J Magn Reson Imaging, 35, 239, 10.1002/jmri.22825 Tofts, 2003 Nicoletti, 2006, Apparent diffusion coefficient measurements of the middle cerebellar peduncle differentiate the Parkinson variant of MSA from Parkinson's disease and progressive supranuclear palsy, Brain, 129, 2679, 10.1093/brain/awl166 Seppi, 2003, Diffusion-weighted imaging discriminates progressive supranuclear palsy from PD, but not from the parkinson variant of multiple system atrophy, Neurology, 60, 922, 10.1212/01.WNL.0000049911.91657.9D Schocke, 2004, Trace of diffusion tensor differentiates the Parkinson variant of multiple system atrophy and Parkinson's disease, Neuroimage, 21, 1443, 10.1016/j.neuroimage.2003.12.005 Wang, 2011, Use of diffusion tensor imaging to identify similarities and differences between cerebellar and Parkinsonism forms of multiple system atrophy, Neuroradiology, 53, 471, 10.1007/s00234-010-0757-7 Boelmans, 2010, Diffusion tensor imaging of the corpus callosum differentiates corticobasal syndrome from Parkinson's disease, Parkinsonism Relat Disord, 16, 498, 10.1016/j.parkreldis.2010.05.006 Prodoehl, 2013, Diffusion tensor imaging of Parkinson's disease, atypical parkinsonism, and essential tremor, Mov Disord, 28, 1816, 10.1002/mds.25491 Nair, 2013, A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging, Eur Radiol, 23, 1459, 10.1007/s00330-012-2759-9 Yoshikawa, 2004, Early pathological changes in the parkinsonian brain demonstrated by diffusion tensor MRI, J Neurol Neurosurg Psychiatry, 75, 481, 10.1136/jnnp.2003.021873 Chan, 2007, Case control study of diffusion tensor imaging in Parkinson's disease, J Neurol Neurosurg Psychiatry, 78, 1383, 10.1136/jnnp.2007.121525 Vaillancourt, 2009, High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease, Neurology, 72, 1378, 10.1212/01.wnl.0000340982.01727.6e Menke, 2009, MRI characteristics of the substantia nigra in Parkinson's disease: a combined quantitative T1 and DTI study, Neuroimage, 47, 435, 10.1016/j.neuroimage.2009.05.017 Dexter, 1989, Increased nigral iron content and alterations in other metal ions occurring in brain in Parkinson's disease, J Neurochem, 52, 1830, 10.1111/j.1471-4159.1989.tb07264.x Earle, 1968, Studies on Parkinson's disease including x-ray fluorescent spectroscopy of formalin fixed brain tissue, J Neuropathol Exp Neurol, 27, 1, 10.1097/00005072-196801000-00001 Sofic, 1988, Increased iron (III) and total iron content in post mortem substantia nigra of parkinsonian brain, J Neural Transm, 74, 199, 10.1007/BF01244786 Haacke, 2005, Imaging iron stores in the brain using magnetic resonance imaging, Magn Reson Imaging, 23, 1, 10.1016/j.mri.2004.10.001 Peran, 2010, Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature, Brain, 133, 3423, 10.1093/brain/awq212 Du, 2011, Combined R2* and diffusion tensor imaging changes in the substantia nigra in Parkinson's disease, Mov Disord, 26, 1627, 10.1002/mds.23643 Du, 2012, Imaging nigral pathology and clinical progression in Parkinson's disease, Mov Disord, 27, 1636, 10.1002/mds.25182 Aquino, 2014, Substantia nigra in Parkinson's disease: a multimodal MRI comparison between early and advanced stages of the disease, Neurol Sci, 35, 753, 10.1007/s10072-013-1595-2 Schwarz, 2013, Diffusion tensor imaging of nigral degeneration in Parkinson's disease: a region-of-interest and voxel-based study at 3 T and systematic review with meta-analysis, Neuroimage Clin, 3, 481, 10.1016/j.nicl.2013.10.006 Tessa, 2008, A whole-brain analysis in de novo Parkinson disease, AJNR Am J Neuroradiol, 29, 674, 10.3174/ajnr.A0900 Zhang, 2011, Voxel-based analysis of diffusion tensor indices in the brain in patients with Parkinson's disease, Eur J Radiol, 77, 269, 10.1016/j.ejrad.2009.07.032 Karagulle Kendi, 2008, Altered diffusion in the frontal lobe in Parkinson disease, AJNR Am J Neuroradiol, 29, 501, 10.3174/ajnr.A0850 Rae, 2012, White matter pathology in Parkinson's disease: the effect of imaging protocol differences and relevance to executive function, Neuroimage, 62, 1675, 10.1016/j.neuroimage.2012.06.012 Zhan, 2012, Regional alterations of brain microstructure in Parkinson's disease using diffusion tensor imaging, Mov Disord, 27, 90, 10.1002/mds.23917 Ibarretxe-Bilbao, 2010, Olfactory impairment in Parkinson's disease and white matter abnormalities in central olfactory areas: a voxel-based diffusion tensor imaging study, Mov Disord, 25, 1888, 10.1002/mds.23208 Rolheiser, 2011, Diffusion tensor imaging and olfactory identification testing in early-stage Parkinson's disease, J Neurol, 258, 1254, 10.1007/s00415-011-5915-2 Scherfler, 2006, Voxel-wise analysis of diffusion weighted imaging reveals disruption of the olfactory tract in Parkinson's disease, Brain, 129, 538, 10.1093/brain/awh674 Kamagata, 2012, White matter alteration of the cingulum in Parkinson disease with and without dementia: evaluation by diffusion tensor tract-specific analysis, AJNR Am J Neuroradiol, 33, 890, 10.3174/ajnr.A2860 Hattori, 2012, Cognitive status correlates with white matter alteration in Parkinson's disease, Hum Brain Mapp, 33, 727, 10.1002/hbm.21245 Modrego, 2011, Correlation of findings in advanced MRI techniques with global severity scales in patients with Parkinson disease, Acad Radiol, 18, 235, 10.1016/j.acra.2010.09.022 Scherfler, 2013, Correlation of dopaminergic terminal dysfunction and microstructural abnormalities of the basal ganglia and the olfactory tract in Parkinson's disease, Brain, 136, 3028, 10.1093/brain/awt234 Melzer, 2013, White matter microstructure deteriorates across cognitive stages in Parkinson disease, Neurology, 80, 1841, 10.1212/WNL.0b013e3182929f62 Agosta, 2014, Mild cognitive impairment in Parkinson's disease is associated with a distributed pattern of brain white matter damage, Hum Brain Mapp, 35, 1921, 10.1002/hbm.22302 Carlesimo, 2012, Hippocampal abnormalities and memory deficits in Parkinson disease: a multimodal imaging study, Neurology, 78, 1939, 10.1212/WNL.0b013e318259e1c5 Baggio, 2012, Structural correlates of facial emotion recognition deficits in Parkinson's disease patients, Neuropsychologia, 50, 2121, 10.1016/j.neuropsychologia.2012.05.020 Bertrand, 2012, Color discrimination deficits in Parkinson's disease are related to cognitive impairment and white-matter alterations, Mov Disord, 27, 1781, 10.1002/mds.25272 Feldmann, 2008, Morphometric changes of gray matter in Parkinson's disease with depression: a voxel-based morphometry study, Mov Disord, 23, 42, 10.1002/mds.21765 Kostic, 2010, Regional patterns of brain tissue loss associated with depression in Parkinson disease, Neurology, 75, 857, 10.1212/WNL.0b013e3181f11c1d Surdhar, 2012, Intact limbic-prefrontal connections and reduced amygdala volumes in Parkinson's disease with mild depressive symptoms, Parkinsonism Relat Disord, 18, 809, 10.1016/j.parkreldis.2012.03.008 Wang, 2011, Parkinson disease: diagnostic utility of diffusion kurtosis imaging, Radiology, 261, 210, 10.1148/radiol.11102277 Kamagata, 2013, Diffusional kurtosis imaging of cingulate fibers in Parkinson disease: comparison with conventional diffusion tensor imaging, Magn Reson Imaging, 31, 1501, 10.1016/j.mri.2013.06.009 Kamagata, 2014, A preliminary diffusional kurtosis imaging study of Parkinson disease: comparison with conventional diffusion tensor imaging, Neuroradiology, 56, 251, 10.1007/s00234-014-1327-1 Giannelli, 2012, Diffusion kurtosis and diffusion-tensor MR imaging in Parkinson disease, Radiology, 265, 645, 10.1148/radiol.12121036 Strong, 2003, Amyotrophic lateral sclerosis: a review of current concepts, Amyotroph Lateral Scler Other Motor Neuron Disord, 4, 136, 10.1080/14660820310011250 Charcot, 1874, Des amyotrophies spinales chroniques, Progres Medical, 2, 573 Musaro, 2010, State of the art and the dark side of amyotrophic lateral sclerosis, World J Biol Chem, 1, 62, 10.4331/wjbc.v1.i5.62 Phukan, 2007, Cognitive impairment in amyotrophic lateral sclerosis, Lancet Neurol, 6, 994, 10.1016/S1474-4422(07)70265-X Geser, 2008, Evidence of multisystem disorder in whole-brain map of pathological TDP-43 in amyotrophic lateral sclerosis, Arch Neurol, 65, 636, 10.1001/archneur.65.5.636 Nakano, 2000, Frontotemporal dementia with motor neuron disease (amyotrophic lateral sclerosis with dementia), Neuropathology, 20, 68, 10.1046/j.1440-1789.2000.00272.x Neumann, 2009, Molecular neuropathology of TDP-43 proteinopathies, Int J Mol Sci, 10, 232, 10.3390/ijms10010232 Ince, 2003, Corticospinal tract degeneration in the progressive muscular atrophy variant of ALS, Neurology, 60, 1252, 10.1212/01.WNL.0000058901.75728.4E Ince, 1998, Amyotrophic lateral sclerosis: current issues in classification, pathogenesis and molecular pathology, Neuropathol Appl Neurobiol, 24, 104, 10.1046/j.1365-2990.1998.00108.x Brownell, 1970, The central nervous system in motor neurone disease, J Neurol Neurosurg Psychiatry, 33, 338, 10.1136/jnnp.33.3.338 Chan, 2003, Amyotrophic lateral sclerosis and primary lateral sclerosis: evidence-based diagnostic evaluation of the upper motor neuron, Neuroimaging Clin N Am, 13, 307, 10.1016/S1052-5149(03)00018-2 Filippi, 2010, European Federation of Neurological S. EFNS guidelines on the use of neuroimaging in the management of motor neuron diseases, Eur J Neurol, 17, 526, 10.1111/j.1468-1331.2010.02951.x Turner, 2011, MRI as a frontrunner in the search for amyotrophic lateral sclerosis biomarkers?, Biomark Med, 5, 79, 10.2217/bmm.10.120 Cheung, 1995, Amyotrophic lateral sclerosis: correlation of clinical and MR imaging findings, Radiology, 194, 263, 10.1148/radiology.194.1.7997565 Hecht, 2002, Hyperintense and hypointense MRI signals of the precentral gyrus and corticospinal tract in ALS: a follow-up examination including FLAIR images, J Neurol Sci, 199, 59, 10.1016/S0022-510X(02)00104-1 Agosta, 2007, Voxel-based morphometry study of brain volumetry and diffusivity in amyotrophic lateral sclerosis patients with mild disability, Hum Brain Mapp, 28, 1430, 10.1002/hbm.20364 Mezzapesa, 2007, Whole-brain and regional brain atrophy in amyotrophic lateral sclerosis, AJNR Am J Neuroradiol, 28, 255 Agosta, 2012, The cortical signature of amyotrophic lateral sclerosis, PLoS One, 7, e42816, 10.1371/journal.pone.0042816 Cosottini, 2012, Structural and functional evaluation of cortical motor areas in amyotrophic lateral sclerosis, Exp Neurol, 234, 169, 10.1016/j.expneurol.2011.12.024 Konrad, 2006, Subcortical reorganization in amyotrophic lateral sclerosis, Exp Brain Res, 172, 361, 10.1007/s00221-006-0352-7 Stanton, 2007, Altered cortical activation during a motor task in ALS. Evidence for involvement of central pathways, J Neurol, 254, 1260, 10.1007/s00415-006-0513-4 Cosottini, 2011, Magnetization transfer imaging demonstrates a distributed pattern of microstructural changes of the cerebral cortex in amyotrophic lateral sclerosis, AJNR Am J Neuroradiol, 32, 704, 10.3174/ajnr.A2356 Ellis, 1999, Diffusion tensor MRI assesses corticospinal tract damage in ALS, Neurology, 53, 1051, 10.1212/WNL.53.5.1051 Toosy, 2003, Diffusion tensor imaging detects corticospinal tract involvement at multiple levels in amyotrophic lateral sclerosis, J Neurol Neurosurg Psychiatry, 74, 1250, 10.1136/jnnp.74.9.1250 Cosottini, 2005, Diffusion-tensor MR imaging of corticospinal tract in amyotrophic lateral sclerosis and progressive muscular atrophy, Radiology, 237, 258, 10.1148/radiol.2371041506 Charil, 2009, Structural and metabolic changes in the brain of patients with upper motor neuron disorders: a multiparametric MRI study, Amyotroph Lateral Scler, 10, 269, 10.3109/17482960902777339 Graham, 2004, Diffusion tensor imaging for the assessment of upper motor neuron integrity in ALS, Neurology, 63, 2111, 10.1212/01.WNL.0000145766.03057.E7 Schimrigk, 2007, Diffusion tensor imaging-based fractional anisotropy quantification in the corticospinal tract of patients with amyotrophic lateral sclerosis using a probabilistic mixture model, AJNR Am J Neuroradiol, 28, 724 Iwata, 2008, Evaluation of corticospinal tracts in ALS with diffusion tensor MRI and brainstem stimulation, Neurology, 70, 528, 10.1212/01.wnl.0000299186.72374.19 Pierpaoli, 2001, Water diffusion changes in wallerian degeneration and their dependence on white matter architecture, Neuroimage, 13, 1174, 10.1006/nimg.2001.0765 Beaulieu, 1996, Changes in water diffusion due to wallerian degeneration in peripheral nerve, Magn Reson Med, 36, 627, 10.1002/mrm.1910360419 Wang, 2006, Amyotrophic lateral sclerosis: diffusion-tensor and chemical shift MR imaging at 3.0 T, Radiology, 239, 831, 10.1148/radiol.2393050573 Mitsumoto, 2007, Quantitative objective markers for upper and lower motor neuron dysfunction in ALS, Neurology, 68, 1402, 10.1212/01.wnl.0000260065.57832.87 Ciccarelli, 2006, Probabilistic diffusion tractography: a potential tool to assess the rate of disease progression in amyotrophic lateral sclerosis, Brain, 129, 1859, 10.1093/brain/awl100 Sage, 2007, Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis, Neuroimage, 34, 486, 10.1016/j.neuroimage.2006.09.025 Filippini, 2010, Corpus callosum involvement is a consistent feature of amyotrophic lateral sclerosis, Neurology, 75, 1645, 10.1212/WNL.0b013e3181fb84d1 Verstraete, 2010, Motor network degeneration in amyotrophic lateral sclerosis: a structural and functional connectivity study, PLoS One, 5, e13664, 10.1371/journal.pone.0013664 Li, 2012, A meta-analysis of diffusion tensor imaging studies in amyotrophic lateral sclerosis, Neurobiol Aging, 33, 1833, 10.1016/j.neurobiolaging.2011.04.007 Cosottini, 2013, Mapping cortical degeneration in ALS with magnetization transfer ratio and voxel-based morphometry, PLoS One, 8, e68279, 10.1371/journal.pone.0068279 Kassubek, 2005, Global brain atrophy and corticospinal tract alterations in ALS, as investigated by voxel-based morphometry of 3-D MRI, Amyotroph Lateral Scler Other Motor Neuron Disord, 6, 213, 10.1080/14660820510038538 van der Graaff, 2011, Upper and extra-motoneuron involvement in early motoneuron disease: a diffusion tensor imaging study, Brain, 134, 1211, 10.1093/brain/awr016 Sage, 2009, Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: revisited, Hum Brain Mapp, 30, 3657, 10.1002/hbm.20794 Canu, 2011, The topography of brain microstructural damage in amyotrophic lateral sclerosis assessed using diffusion tensor MR imaging, AJNR Am J Neuroradiol, 32, 1307, 10.3174/ajnr.A2469 Lillo, 2012, Grey and white matter changes across the amyotrophic lateral sclerosis-frontotemporal dementia continuum, PLoS One, 7, e43993, 10.1371/journal.pone.0043993 Sarro, 2011, Cognitive functions and white matter tract damage in amyotrophic lateral sclerosis: a diffusion tensor tractography study, AJNR Am J Neuroradiol, 32, 1866, 10.3174/ajnr.A2658 Crespi, 2014, Microstructural white matter correlates of emotion recognition impairment in amyotrophic lateral sclerosis, Cortex, 53, 1, 10.1016/j.cortex.2014.01.002 Agosta, 2009, A longitudinal diffusion tensor MRI study of the cervical cord and brain in amyotrophic lateral sclerosis patients, J Neurol Neurosurg Psychiatry, 80, 53, 10.1136/jnnp.2008.154252 Valsasina, 2007, Diffusion anisotropy of the cervical cord is strictly associated with disability in amyotrophic lateral sclerosis, J Neurol Neurosurg Psychiatry, 78, 480, 10.1136/jnnp.2006.100032 Wang, 2014, Preliminary study on cervical spinal cord in patients with amyotrophic lateral sclerosis using MR diffusion tensor imaging, Acad Radiol, 21, 590, 10.1016/j.acra.2014.01.014 Sach, 2004, Diffusion tensor MRI of early upper motor neuron involvement in amyotrophic lateral sclerosis, Brain, 127, 340, 10.1093/brain/awh041 Ng, 2008, Abnormal diffusion tensor in nonsymptomatic familial amyotrophic lateral sclerosis with a causative superoxide dismutase 1 mutation, J Magn Reson Imaging, 27, 8, 10.1002/jmri.21217 Iwata, 2011, White matter alterations differ in primary lateral sclerosis and amyotrophic lateral sclerosis, Brain, 134, 2642, 10.1093/brain/awr178 Filippi, 2013, Assessment of system dysfunction in the brain through MRI-based connectomics, Lancet Neurol, 12, 1189, 10.1016/S1474-4422(13)70144-3 Agosta, 2014, Intrahemispheric and interhemispheric structural network abnormalities in PLS and ALS, Hum Brain Mapp, 35, 1710, 10.1002/hbm.22286 Blain, 2007, A longitudinal study of diffusion tensor MRI in ALS, Amyotroph Lateral Scler, 8, 348, 10.1080/17482960701548139 Menke, 2012, Fractional anisotropy in the posterior limb of the internal capsule and prognosis in amyotrophic lateral sclerosis, Arch Neurol, 69, 1493, 10.1001/archneurol.2012.1122 Agosta, 2010, MRI predictors of long-term evolution in amyotrophic lateral sclerosis, Eur J Neurosci, 32, 1490, 10.1111/j.1460-9568.2010.07445.x Keil, 2012, Longitudinal diffusion tensor imaging in amyotrophic lateral sclerosis, BMC Neurosci, 13, 141, 10.1186/1471-2202-13-141 Verstraete, 2011, Impaired structural motor connectome in amyotrophic lateral sclerosis, PLoS One, 6, e24239, 10.1371/journal.pone.0024239 Verstraete, 2014, Structural brain network imaging shows expanding disconnection of the motor system in amyotrophic lateral sclerosis, Hum Brain Mapp, 35, 1351, 10.1002/hbm.22258 Foerster, 2012, Diagnostic accuracy using diffusion tensor imaging in the diagnosis of ALS: a meta-analysis, Acad Radiol, 19, 1075, 10.1016/j.acra.2012.04.012 Chio, 2011, Phenotypic heterogeneity of amyotrophic lateral sclerosis: a population based study, J Neurol Neurosurg Psychiatry, 82, 740, 10.1136/jnnp.2010.235952 Prell, 2013, Diffusion tensor imaging patterns differ in bulbar and limb onset amyotrophic lateral sclerosis, Clin Neurol Neurosurg, 115, 1281, 10.1016/j.clineuro.2012.11.031 Takahashi, 2010, Polyglutamine diseases: where does toxicity come from? What is toxicity? Where are we going?, J Mol Cell Biol, 2, 180, 10.1093/jmcb/mjq005 Bohanna, 2008, Magnetic resonance imaging as an approach towards identifying neuropathological biomarkers for Huntington's disease, Brain Res Rev, 58, 209, 10.1016/j.brainresrev.2008.04.001 Kloppel, 2009, Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease, Neurology, 72, 426, 10.1212/01.wnl.0000341768.28646.b6 Tabrizi, 2009, Biological and clinical manifestations of Huntington's disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data, Lancet Neurol, 8, 791, 10.1016/S1474-4422(09)70170-X Kloppel, 2008, White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease, Brain, 131, 196, 10.1093/brain/awm275 Reading, 2005, Regional white matter change in pre-symptomatic Huntington's disease: a diffusion tensor imaging study, Psychiatry Res, 140, 55, 10.1016/j.pscychresns.2005.05.011 Rosas, 2006, Diffusion tensor imaging in presymptomatic and early Huntington's disease: selective white matter pathology and its relationship to clinical measures, Mov Disord, 21, 1317, 10.1002/mds.20979 Dumas, 2012, Early changes in white matter pathways of the sensorimotor cortex in premanifest Huntington's disease, Hum Brain Mapp, 33, 203, 10.1002/hbm.21205 Mandelli, 2010, Decreased diffusivity in the caudate nucleus of presymptomatic Huntington disease gene carriers: which explanation?, AJNR Am J Neuroradiol, 31, 706, 10.3174/ajnr.A1891 Rizk-Jackson, 2011, Evaluating imaging biomarkers for neurodegeneration in pre-symptomatic Huntington's disease using machine learning techniques, Neuroimage, 56, 788, 10.1016/j.neuroimage.2010.04.273 Rosas, 2010, Altered white matter microstructure in the corpus callosum in Huntington's disease: implications for cortical "disconnection", Neuroimage, 49, 2995, 10.1016/j.neuroimage.2009.10.015 Stoffers, 2010, Contrasting gray and white matter changes in preclinical Huntington disease: an MRI study, Neurology, 74, 1208, 10.1212/WNL.0b013e3181d8c20a Di Paola, 2012, Multimodal MRI analysis of the corpus callosum reveals white matter differences in presymptomatic and early Huntington's disease, Cereb Cortex, 22, 2858, 10.1093/cercor/bhr360 Sanchez-Castaneda, 2013, Seeking Huntington disease biomarkers by multimodal, cross-sectional basal ganglia imaging, Hum Brain Mapp, 34, 1625, 10.1002/hbm.22019 Dominguez, 2013, Multi-modal neuroimaging in premanifest and early Huntington's disease: 18 month longitudinal data from the IMAGE-HD study, PLoS One, 8, e74131, 10.1371/journal.pone.0074131 Novak, 2014, White matter integrity in premanifest and early Huntington's disease is related to caudate loss and disease progression, Cortex, 52, 98, 10.1016/j.cortex.2013.11.009 Douaud, 2009, In vivo evidence for the selective subcortical degeneration in Huntington's disease, Neuroimage, 46, 958, 10.1016/j.neuroimage.2009.03.044 Mascalchi, 2004, Huntington disease: volumetric, diffusion-weighted, and magnetization transfer MR imaging of brain, Radiology, 232, 867, 10.1148/radiol.2322030820 Seppi, 2006, Diffusion-weighted imaging in Huntington's disease, Mov Disord, 21, 1043, 10.1002/mds.20868 Della Nave, 2010, Regional distribution and clinical correlates of white matter structural damage in Huntington disease: a tract-based spatial statistics study, AJNR Am J Neuroradiol, 31, 1675, 10.3174/ajnr.A2128 Rees, 2014, Cerebellar abnormalities in Huntington's disease: a role in motor and psychiatric impairment?, Mov Disord, 29, 1648, 10.1002/mds.25984 Phillips, 2014, The corticospinal tract in Huntington's disease, Cereb Cortex, 10.1093/cercor/bhu065 Georgiou-Karistianis, 2013, Automated differentiation of pre-diagnosis Huntington's disease from healthy control individuals based on quadratic discriminant analysis of the basal ganglia: the IMAGE-HD study, Neurobiol Dis, 51, 82, 10.1016/j.nbd.2012.10.001 Poudel, 2014, White matter connectivity reflects clinical and cognitive status in Huntington's disease, Neurobiol Dis, 65, 180, 10.1016/j.nbd.2014.01.013 Blockx, 2012, Identification and characterization of Huntington related pathology: an in vivo DKI imaging study, Neuroimage, 63, 653, 10.1016/j.neuroimage.2012.06.032 Weaver, 2009, Longitudinal diffusion tensor imaging in Huntington's disease, Exp Neurol, 216, 525, 10.1016/j.expneurol.2008.12.026 Sritharan, 2010, A longitudinal diffusion tensor imaging study in symptomatic Huntington's disease, J Neurol Neurosurg Psychiatry, 81, 257, 10.1136/jnnp.2007.142786 Vandenberghe, 2009, Diffusion-weighted versus volumetric imaging of the striatum in early symptomatic Huntington disease, J Neurol, 256, 109, 10.1007/s00415-009-0086-0 Rosas, 2014, PRECREST: a phase II prevention and biomarker trial of creatine in at-risk Huntington disease, Neurology, 82, 850, 10.1212/WNL.0000000000000187 Mascalchi, 2012, Magnetic resonance and nuclear medicine imaging in ataxias, Handb Clin Neurol, 103, 85, 10.1016/B978-0-444-51892-7.00004-8 Mascalchi, 2005, Diffusion-weighted MR of the brain: methodology and clinical application, Radiol Med, 109, 155 Della Nave, 2004, ADC mapping of neurodegeneration in the brainstem and cerebellum of patients with progressive ataxias, Neuroimage, 22, 698, 10.1016/j.neuroimage.2004.01.035 Mandelli, 2007, Diffusion tensor imaging of spinocerebellar ataxias types 1 and 2, AJNR Am J Neuroradiol, 28, 1996, 10.3174/ajnr.A0716 Pellecchia, 2009, Diffusion-weighted imaging in multiple system atrophy: a comparison between clinical subtypes, Mov Disord, 24, 689, 10.1002/mds.22440 Pellecchia, 2011, Progression of striatal and extrastriatal degeneration in multiple system atrophy: a longitudinal diffusion-weighted MR study, Mov Disord, 26, 1303, 10.1002/mds.23601 Rizzo, 2011, Brain diffusion-weighted imaging in Friedreich's ataxia, Mov Disord, 26, 705, 10.1002/mds.23518 Della Nave, 2008, Brain white matter damage in SCA1 and SCA2. An in vivo study using voxel-based morphometry, histogram analysis of mean diffusivity and tract-based spatial statistics, Neuroimage, 43, 10, 10.1016/j.neuroimage.2008.06.036 Della Nave, 2008, Brain structural damage in Friedreich's ataxia, J Neurol Neurosurg Psychiatry, 79, 82, 10.1136/jnnp.2007.124297 Pagani, 2010, Assessment of brain white matter fiber bundle atrophy in patients with Friedreich ataxia, Radiology, 255, 882, 10.1148/radiol.10091742 Alcauter, 2011, Gray and white matter alterations in spinocerebellar ataxia type 7: an in vivo DTI and VBM study, Neuroimage, 55, 1, 10.1016/j.neuroimage.2010.12.014 Sahama, 2014, Altered corticomotor-cerebellar integrity in young ataxia telangiectasia patients, Mov Disord, 29, 1289, 10.1002/mds.25970 Mascalchi, 2015, Progression of microstructural damage in spinocerebellar ataxia type 2. A longitudinal diffusion tensor study, AJNR Am J Neuroradiol, 10.3174/ajnr.A4343 Prakash, 2009, Patterns of fractional anisotropy changes in white matter of cerebellar peduncles distinguish spinocerebellar ataxia-1 from multiple system atrophy and other ataxia syndromes, Neuroimage, 47, T72, 10.1016/j.neuroimage.2009.05.013 Taoka, 2007, Diffusivity and diffusion anisotropy of cerebellar peduncles in cases of spinocerebellar degenerative disease, Neuroimage, 37, 387, 10.1016/j.neuroimage.2007.05.028 Koeppen, 2011, Friedreich's ataxia: pathology, pathogenesis, and molecular genetics, J Neurol Sci, 303, 1, 10.1016/j.jns.2011.01.010 Zalesky, 2013, Cerebello-cerebral connectivity deficits in Friedreich ataxia, Brain Struct Funct Clemm von Hohenberg, 2013, Radial diffusivity in the cerebellar peduncles correlates with clinical severity in Friedreich ataxia, Neurol Sci, 34, 1459, 10.1007/s10072-013-1402-0 Akhlaghi, 2014, Cognitive deficits in Friedreich ataxia correlate with micro-structural changes in dentatorubral tract, Cerebellum, 13, 187, 10.1007/s12311-013-0525-4 Della Nave, 2011, Axial diffusivity is increased in the degenerating superior cerebellar peduncles of Friedreich's ataxia, Neuroradiology, 53, 367, 10.1007/s00234-010-0807-1 Salat, 2010, White matter pathology isolates the hippocampal formation in Alzheimer's disease, Neurobiol Aging, 31, 244, 10.1016/j.neurobiolaging.2008.03.013 Lowe, 1997, Disorders of movement and system degeneration, 281 Firat, 2005, Quantitative evaluation of brain involvement in ataxia telangiectasia by diffusion weighted MR imaging, Eur J Radiol, 56, 192, 10.1016/j.ejrad.2005.04.009 Seidel, 2012, Brain pathology of spinocerebellar ataxias, Acta Neuropathol, 124, 1, 10.1007/s00401-012-1000-x Reginold, 2014, Longitudinal quantitative MRI in multiple system atrophy and progressive supranuclear palsy, Parkinsonism Relat Disord, 20, 222, 10.1016/j.parkreldis.2013.10.002 Guimaraes, 2013, A multimodal evaluation of microstructural white matter damage in spinocerebellar ataxia type 3, Mov Disord, 28, 1125, 10.1002/mds.25451 Lu, 2013, Disrupted cerebellar connectivity reduces whole-brain network efficiency in multiple system atrophy, Mov Disord, 28, 362, 10.1002/mds.25314 Kang, 2014, White matter damage is related to ataxia severity in SCA3, J Neurol, 261, 291, 10.1007/s00415-013-7186-6 Le Bihan, 2003, Looking into the functional architecture of the brain with diffusion MRI, Nat Rev Neurosci, 4, 469, 10.1038/nrn1119 Le Bihan, 2012, Diffusion MRI at 25: exploring brain tissue structure and function, Neuroimage, 61, 324, 10.1016/j.neuroimage.2011.11.006 Sporns, 2012 Assaf, 2013, The CONNECT project: combining macro- and micro-structure, Neuroimage, 80, 273, 10.1016/j.neuroimage.2013.05.055 Van Essen, 2012, The Human Connectome Project: a data acquisition perspective, Neuroimage, 62, 2222, 10.1016/j.neuroimage.2012.02.018 Van Essen, 2013, The WU-Minn Human Connectome Project: an overview, Neuroimage, 80, 62, 10.1016/j.neuroimage.2013.05.041 Van Essen, 2012, The future of the human connectome, Neuroimage, 62, 1299, 10.1016/j.neuroimage.2012.01.032 Jbabdi, 2012, Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems, Magn Reson Med, 68, 1846, 10.1002/mrm.24204 Setsompop, 2013, Pushing the limits of in vivo diffusion MRI for the Human Connectome Project, Neuroimage, 80, 220, 10.1016/j.neuroimage.2013.05.078 Sotiropoulos, 2013, RubiX: combining spatial resolutions for Bayesian inference of crossing fibers in diffusion MRI, IEEE Trans Med Imaging, 32, 969, 10.1109/TMI.2012.2231873 Sotiropoulos, 2013, Advances in diffusion MRI acquisition and processing in the Human Connectome Project, Neuroimage, 80, 125, 10.1016/j.neuroimage.2013.05.057 Sotiropoulos, 2013, Effects of image reconstruction on fiber orientation mapping from multichannel diffusion MRI: reducing the noise floor using SENSE, Magn Reson Med, 70, 1682, 10.1002/mrm.24623 Ugurbil, 2013, Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project, Neuroimage, 80, 80, 10.1016/j.neuroimage.2013.05.012 Le Bihan, 2001, Diffusion tensor imaging: concepts and applications, J Magn Reson Imaging, 13, 534, 10.1002/jmri.1076 Ennis, 2006, Orthogonal tensor invariants and the analysis of diffusion tensor magnetic resonance images, Magn Reson Med, 55, 136, 10.1002/mrm.20741 Jones, 2013, White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI, Neuroimage, 73, 239, 10.1016/j.neuroimage.2012.06.081 Wheeler-Kingshott, 2009, About "axial" and "radial" diffusivities, Magn Reson Med, 61, 1255, 10.1002/mrm.21965 Kindlmann, 2007, Diffusion tensor analysis with invariant gradients and rotation tangents, IEEE Trans Med Imaging, 26, 1483, 10.1109/TMI.2007.907277 Le Bihan, 2007, The 'wet mind': water and functional neuroimaging, Phys Med Biol, 52, R57, 10.1088/0031-9155/52/7/R02 Assaf, 2005, Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain, Neuroimage, 27, 48, 10.1016/j.neuroimage.2005.03.042 Assaf, 2008, AxCaliber: a method for measuring axon diameter distribution from diffusion MRI, Magn Reson Med, 59, 1347, 10.1002/mrm.21577 Zhang, 2011, Axon diameter mapping in the presence of orientation dispersion with diffusion MRI, Neuroimage, 56, 1301, 10.1016/j.neuroimage.2011.01.084 Assaf, 2000, Assignment of the water slow-diffusing component in the central nervous system using q-space diffusion MRS: implications for fiber tract imaging, Magn Reson Med, 43, 191, 10.1002/(SICI)1522-2594(200002)43:2<191::AID-MRM5>3.0.CO;2-B Tuch, 2004, Q-ball imaging, Magn Reson Med, 52, 1358, 10.1002/mrm.20279 Tuch, 2003, Diffusion MRI of complex neural architecture, Neuron, 40, 885, 10.1016/S0896-6273(03)00758-X Heidemann, 2010, Diffusion imaging in humans at 7T using readout-segmented EPI and GRAPPA, Magn Reson Med, 64, 9, 10.1002/mrm.22480 Feinberg, 2010, Multiplexed echo planar imaging for sub-second whole brain FMRI and fast diffusion imaging, PLoS One, 5, e15710, 10.1371/journal.pone.0015710 Menzel, 2011, Accelerated diffusion spectrum imaging in the human brain using compressed sensing, Magn Reson Med, 66, 1226, 10.1002/mrm.23064 Michailovich, 2011, Spatially regularized compressed sensing for high angular resolution diffusion imaging, IEEE Trans Med Imaging, 30, 1100, 10.1109/TMI.2011.2142189 Shemesh, 2012, Mapping apparent eccentricity and residual ensemble anisotropy in the gray matter using angular double-pulsed-field-gradient MRI, Magn Reson Med, 68, 794, 10.1002/mrm.23300 Shemesh, 2009, Observation of restricted diffusion in the presence of a free diffusion compartment: single- and double-PFG experiments, J Magn Reson, 200, 214, 10.1016/j.jmr.2009.07.005 Hansen, 2013, Using diffusion anisotropy to characterize neuronal morphology in gray matter: the orientation distribution of axons and dendrites in the NeuroMorpho.org database, Front Integr Neurosci, 7, 31, 10.3389/fnint.2013.00031 Zhang, 2012, NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain, Neuroimage, 61, 1000, 10.1016/j.neuroimage.2012.03.072 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat Rev Neurosci, 10, 186, 10.1038/nrn2575 Matthews, 2006, Applications of fMRI in translational medicine and clinical practice, Nat Rev Neurosci, 7, 732, 10.1038/nrn1929 van den Heuvel, 2010, Exploring the brain network: a review on resting-state fMRI functional connectivity, Eur Neuropsychopharmacol, 20, 519, 10.1016/j.euroneuro.2010.03.008 Mascalchi, 2012, The burden of microstructural damage modulates cortical activation in elderly subjects with MCI and leuko-araiosis. A DTI and fMRI study, Hum Brain Mapp Tessa, 2010, Decreased and increased cortical activation coexist in de novo Parkinson's disease, Exp Neurol, 224, 299, 10.1016/j.expneurol.2010.04.005 Ginestroni, 2012, Neurodegeneration in Friedreich's ataxia is associated with a mixed activation pattern of the brain. A fMRI study, Hum Brain Mapp, 33, 1780, 10.1002/hbm.21319 Passamonti, 2013, Dopamine-transporter levels drive striatal responses to apomorphine in Parkinson's disease, Brain Behav, 3, 249, 10.1002/brb3.115 Jezzard, 2002 Lee, 2013, Resting-state fMRI: a review of methods and clinical applications, AJNR Am J Neuroradiol, 34, 1866, 10.3174/ajnr.A3263 Ashburner, 2003, Morphometry, 707 Chung, 2003, Deformation-based surface morphometry applied to gray matter deformation, Neuroimage, 18, 198, 10.1016/S1053-8119(02)00017-4 Good, 2001, Computational neuroanatomy: new perspectives for neuroradiology, Rev Neurol (Paris), 157, 797 Hua, 2008, Alzheimer's Disease Neuroimaging I. Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects, Neuroimage, 43, 458, 10.1016/j.neuroimage.2008.07.013 Pereira, 2012, Assessment of cortical degeneration in patients with Parkinson's disease by voxel-based morphometry, cortical folding, and cortical thickness, Hum Brain Mapp, 33, 2521, 10.1002/hbm.21378 Takao, 2010, Computational analysis of cerebral cortex, Neuroradiology, 52, 691, 10.1007/s00234-010-0715-4 Della Nave, 2008, Brain structural damage in spinocerebellar ataxia type 2. A voxel-based morphometry study, Mov Disord, 23, 899, 10.1002/mds.21982 Constantinescu, 2012, Cerebrospinal fluid biomarker candidates for parkinsonian disorders, Front Neurol, 3, 187 Kroksveen, 2011, Proteomics of human cerebrospinal fluid: discovery and verification of biomarker candidates in neurodegenerative diseases using quantitative proteomics, J Proteomics, 74, 371, 10.1016/j.jprot.2010.11.010 Zhang, 2013, Recent advances in metabolomics in neurological disease, and future perspectives, Anal Bioanal Chem, 405, 8143, 10.1007/s00216-013-7061-4 Zhang, 2005, Proteomic biomarker discovery in cerebrospinal fluid for neurodegenerative diseases, J Alzheimers Dis, 8, 377, 10.3233/JAD-2005-8407 Witten, 2005 Orru, 2012, Using support vector machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review, Neurosci Biobehav Rev, 36, 1140, 10.1016/j.neubiorev.2012.01.004 Mwangi, 2013, A review of feature reduction techniques in neuroimaging, Neuroinformatics Diciotti, 2012, Identification of mild Alzheimer's disease through automated classification of structural MRI features, Conf Proc IEEE Eng Med Biol Soc, 2012, 428 Cosottini, 2010, Evaluation of corticospinal tract impairment in the brain of patients with amyotrophic lateral sclerosis by using diffusion tensor imaging acquisition schemes with different numbers of diffusion-weighting directions, J Comput Assist Tomogr, 34, 746, 10.1097/RCT.0b013e3181e35129 Giannelli, 2010, Dependence of brain DTI maps of fractional anisotropy and mean diffusivity on the number of diffusion weighting directions, J Appl Clin Med Phys, 11, 2927, 10.1120/jacmp.v11i1.2927 Jones, 2010, Twenty-five pitfalls in the analysis of diffusion MRI data, NMR Biomed, 23, 803, 10.1002/nbm.1543 Koay, 2006, Investigation of anomalous estimates of tensor-derived quantities in diffusion tensor imaging, Magn Reson Med, 55, 930, 10.1002/mrm.20832 Koay, 2006, A unifying theoretical and algorithmic framework for least squares methods of estimation in diffusion tensor imaging, J Magn Reson, 182, 115, 10.1016/j.jmr.2006.06.020 Alexander, 2006, Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging, Neuroimaging Clin N Am, 16, 299, 10.1016/j.nic.2006.02.006 Padhani, 2009, Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations, Neoplasia, 11, 102, 10.1593/neo.81328 Dalaker, 2009, Brain atrophy and white matter hyperintensities in early Parkinson's disease(a), Mov Disord, 24, 2233, 10.1002/mds.22754 Nopoulos, 2010, Cerebral cortex structure in prodromal Huntington disease, Neurobiol Dis, 40, 544, 10.1016/j.nbd.2010.07.014 Soneson, 2010, Early changes in the hypothalamic region in prodromal Huntington disease revealed by MRI analysis, Neurobiol Dis, 40, 531, 10.1016/j.nbd.2010.07.013 Spulber, 2013, An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment, J Intern Med, 273, 396, 10.1111/joim.12028 Weiner, 2012, The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception, Alzheimers Dement, 8, S1, 10.1016/j.jalz.2011.09.172 Sasaki, 2008, Variability in absolute apparent diffusion coefficient values across different platforms may be substantial: a multivendor, multi-institutional comparison study, Radiology, 249, 624, 10.1148/radiol.2492071681 Pagani, 2010, Intercenter differences in diffusion tensor MRI acquisition, J Magn Reson Imaging, 31, 1458, 10.1002/jmri.22186 Vollmar, 2010, Identical, but not the same: Intra-site and inter-site reproducibility of fractional anisotropy measures on two 3.0 T scanners, NeuroImage, 51, 1384, 10.1016/j.neuroimage.2010.03.046 Teipel, 2011, Multicenter stability of diffusion tensor imaging measures: a European clinical and physical phantom study, Psychiatry Res, 194, 363, 10.1016/j.pscychresns.2011.05.012 Zhu, 2011, Quantification of accuracy and precision of multi-center DTI measurements: a diffusion phantom and human brain study, Neuroimage, 56, 1398, 10.1016/j.neuroimage.2011.02.010 Fox, 2012, A validation study of multicenter diffusion tensor imaging: reliability of fractional anisotropy and diffusivity values, AJNR Am J Neuroradiol, 33, 695, 10.3174/ajnr.A2844 Magnotta, 2012, Multicenter reliability of diffusion tensor imaging, Brain Connect, 2, 345, 10.1089/brain.2012.0112 Huang, 2012, Reproducibility of structural, resting-state BOLD and DTI data between identical scanners, PLoS One, 7, e47684, 10.1371/journal.pone.0047684 Farrell, 2007, Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5 T, J Magn Reson Imaging, 26, 756, 10.1002/jmri.21053 Giannelli, 2011, Technical note: DTI measurements of fractional anisotropy and mean diffusivity at 1.5 T: comparison of two radiofrequency head coils with different functional designs and sensitivities, Med Phys, 38, 3205, 10.1118/1.3592013 Landman, 2008, Diffusion tensor imaging at low SNR: nonmonotonic behaviors of tensor contrasts, Magn Reson Imaging, 26, 790, 10.1016/j.mri.2008.01.034 Jones, 2004, "Squashing peanuts and smashing pumpkins": how noise distorts diffusion-weighted MR data, Magn Reson Med, 52, 979, 10.1002/mrm.20283 Jones, 2010, Precision and accuracy in diffusion tensor magnetic resonance imaging, Top Magn Reson Imaging, 21, 87, 10.1097/RMR.0b013e31821e56ac Schmithorst, 2002, Automatic gradient preemphasis adjustment: a 15-minute journey to improved diffusion-weighted echo-planar imaging, Magn Reson Med, 47, 208, 10.1002/mrm.10022 Bammer, 2003, Analysis and generalized correction of the effect of spatial gradient field distortions in diffusion-weighted imaging, Magn Reson Med, 50, 560, 10.1002/mrm.10545 Delakis, 2004, Developing a quality control protocol for diffusion imaging on a clinical MRI system, Phys Med Biol, 49, 1409, 10.1088/0031-9155/49/8/003 Nagy, 2007, A method for improving the performance of gradient systems for diffusion-weighted MRI, Magn Reson Med, 58, 763, 10.1002/mrm.21379 Wu, 2007, A method for calibrating diffusion gradients in diffusion tensor imaging, J Comput Assist Tomogr, 31, 984, 10.1097/rct.0b013e31805152fa Chenevert, 2011, Diffusion coefficient measurement using a temperature-controlled fluid for quality control in multicenter studies, J Magn Reson Imaging, 34, 983, 10.1002/jmri.22363 Wang, 2011, A quality assurance protocol for diffusion tensor imaging using the head phantom from American College of Radiology, Med Phys, 38, 4415, 10.1118/1.3595111 Mohammadi, 2012, The effect of local perturbation fields on human DTI: characterisation, measurement and correction, Neuroimage, 60, 562, 10.1016/j.neuroimage.2011.12.009 De Santis, 2012, RAPID: a routine assurance pipeline for imaging of diffusion, Magn Reson Med Walker, 2013, A framework for the analysis of phantom data in multicenter diffusion tensor imaging studies, Hum Brain Mapp, 34, 2439, 10.1002/hbm.22081 Lauzon, 2013, Simultaneous analysis and quality assurance for diffusion tensor imaging, PLoS One, 8, e61737, 10.1371/journal.pone.0061737 Malyarenko, 2013, Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom, J Magn Reson Imaging, 37, 1238, 10.1002/jmri.23825 Giannelli, 2014, MR scanner systems should be adequately characterized in diffusion-MRI of the breast, PLoS One, 9, e86280, 10.1371/journal.pone.0086280