A Full-Brain, Bootstrapped Analysis of Diffusion Tensor Imaging Robustly Differentiates Parkinson Disease from Healthy Controls
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K. Heilman | A. Lahti | D. Eidelberg | A. Uluğ | D. Standaert | G. Cutter | T. Anthony | F. Skidmore | Yuliang Liu | P. Spetsieris | K. M. Deneen | K. White | J. Myers
[1] P. Scambler,et al. 22q11.2 deletion syndrome , 2015, Nature Reviews Disease Primers.
[2] K. Heilman,et al. Apathy, depression, and motor symptoms have distinct and separable resting activity patterns in idiopathic Parkinson disease , 2013, NeuroImage.
[3] Paul M. Thompson,et al. White matter microstructural abnormalities in girls with chromosome 22q11.2 deletion syndrome, Fragile X or Turner syndrome as evidenced by diffusion tensor imaging , 2013, NeuroImage.
[4] Peter Birkholz,et al. Sex matters: Neural correlates of voice gender perception , 2013, NeuroImage.
[5] Y. Liu,et al. Reliability analysis of the resting state can sensitively and specifically identify the presence of Parkinson disease , 2013, NeuroImage.
[6] S. Swinnen,et al. Disturbed cortico‐subcortical interactions during motor task switching in traumatic brain injury , 2013, Human brain mapping.
[7] John D Pickard,et al. Visual cognition in disorders of consciousness: From V1 to top‐down attention , 2013, Human brain mapping.
[8] T. Anderson,et al. White matter microstructure deteriorates across cognitive stages in Parkinson disease , 2013, Neurology.
[9] Bennett A. Landman,et al. Simultaneous Analysis and Quality Assurance for Diffusion Tensor Imaging , 2013, PloS one.
[10] Roland R. Lee,et al. White-Matter Changes Correlate with Cognitive Functioning in Parkinson’s Disease , 2013, Front. Neurol..
[11] J Randall Flanagan,et al. Where One Hand Meets the Other: Limb-Specific and Action-Dependent Movement Plans Decoded from Preparatory Signals in Single Human Frontoparietal Brain Areas , 2013, The Journal of Neuroscience.
[12] C. Redecker,et al. Decreased olfactory bulb volume in idiopathic Parkinson's disease detected by 3.0‐Tesla magnetic resonance imaging , 2012, Movement disorders : official journal of the Movement Disorder Society.
[13] Wang Zhan,et al. Regional alterations of brain microstructure in Parkinson's disease using diffusion tensor imaging , 2012, Movement disorders : official journal of the Movement Disorder Society.
[14] Walter Paulus,et al. Individual voxel‐based subtype prediction can differentiate progressive supranuclear palsy from idiopathic parkinson syndrome and healthy controls , 2011, Human brain mapping.
[15] Chaozhe Zhu,et al. Voxel-based analysis of diffusion tensor indices in the brain in patients with Parkinson's disease. , 2011, European journal of radiology.
[16] Angelo Antonini,et al. Parkinson's disease tremor-related metabolic network: Characterization, progression, and treatment effects , 2011, NeuroImage.
[17] A. Stefani,et al. Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature. , 2010, Brain : a journal of neurology.
[18] Chris C. Tang,et al. Differential diagnosis of parkinsonism: a metabolic imaging study using pattern analysis , 2010, The Lancet Neurology.
[19] Chris C. Tang,et al. Abnormalities in Metabolic Network Activity Precede the Onset of Motor Symptoms in Parkinson's Disease , 2010, The Journal of Neuroscience.
[20] D. Alsop,et al. Parkinson's Disease Spatial Covariance Pattern: Noninvasive Quantification with Perfusion MRI , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[21] Michael B. Miller,et al. The principled control of false positives in neuroimaging. , 2009, Social cognitive and affective neuroscience.
[22] D. Eidelberg. Metabolic brain networks in neurodegenerative disorders: a functional imaging approach , 2009, Trends in Neurosciences.
[23] M. B. Spraker,et al. High-resolution diffusion tensor imaging in the substantia nigra of de novo Parkinson disease , 2009, Neurology.
[24] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[25] A. Caprihan,et al. Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements , 2008, NeuroImage.
[26] Y. Stern,et al. Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease , 2008, NeuroImage.
[27] V. Dhawan,et al. Metabolic abnormalities associated with mild cognitive impairment in Parkinson disease , 2008, Neurology.
[28] K. Uğurbil,et al. Assessment of brain iron and neuronal integrity in patients with Parkinson's disease using novel MRI contrasts , 2007, Movement disorders : official journal of the Movement Disorder Society.
[29] David Eidelberg,et al. Metabolic brain networks associated with cognitive function in Parkinson's disease , 2007, NeuroImage.
[30] Thomas E. Nichols,et al. Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.
[31] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[32] R. Ordidge,et al. Increased iron‐related MRI contrast in the substantia nigra in Parkinson's disease , 1995, Neurology.
[33] Jonathan D. Cohen,et al. Improved Assessment of Significant Activation in Functional Magnetic Resonance Imaging (fMRI): Use of a Cluster‐Size Threshold , 1995, Magnetic resonance in medicine.
[34] T. H. Burnstine. Movement Disorders 2 , 1988, Neurology.
[35] Joseph P. Romano,et al. A Review of Bootstrap Confidence Intervals , 1988 .
[36] K. Lovblad,et al. Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial results , 2012, European Radiology.
[37] D. Hinkley. Bootstrap Methods: Another Look at the Jackknife , 2008 .