The effect of 18F-FDG-PET image reconstruction algorithms on the expression of characteristic metabolic brain network in Parkinson's disease.

[1]  V. Dhawan,et al.  Abnormal metabolic brain network associated with Parkinson’s disease: replication on a new European sample , 2017, Neuroradiology.

[2]  David Eidelberg,et al.  Automated Differential Diagnosis of Early Parkinsonism Using Metabolic Brain Networks: A Validation Study , 2016, The Journal of Nuclear Medicine.

[3]  J. Joutsa,et al.  Diagnostic accuracy of parkinsonism syndromes by general neurologists. , 2014, Parkinsonism & related disorders.

[4]  V. Dhawan,et al.  Characterization of disease‐related covariance topographies with SSMPCA toolbox: Effects of spatial normalization and PET scanners , 2014, Human brain mapping.

[5]  Y. Guan,et al.  Metabolic brain network in the Chinese patients with Parkinson's disease based on 18F-FDG PET imaging. , 2013, Parkinsonism & related disorders.

[6]  J. Roerdink,et al.  Validation of parkinsonian disease‐related metabolic brain patterns , 2013, Movement disorders : official journal of the Movement Disorder Society.

[7]  David Eidelberg,et al.  Scaled subprofile modeling of resting state imaging data in Parkinson's disease: Methodological issues , 2011, NeuroImage.

[8]  M. Conti.  Focus on time-of-flight PET: the benefits of improved time resolution , 2011, European Journal of Nuclear Medicine and Molecular Imaging.

[9]  Chris C. Tang,et al.  Differential diagnosis of parkinsonism: a metabolic imaging study using pattern analysis , 2010, The Lancet Neurology.

[10]  D. Eidelberg.  Metabolic brain networks in neurodegenerative disorders: a functional imaging approach , 2009, Trends in Neurosciences.

[11]  V. Dhawan,et al.  Changes in network activity with the progression of Parkinson's disease. , 2007, Brain : a journal of neurology.

[12]  V. Dhawan,et al.  Abnormal Metabolic Network Activity in Parkinson'S Disease: Test—Retest Reproducibility , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[13]  V. Dhawan,et al.  Network modulation in the treatment of Parkinson's disease. , 2006, Brain : a journal of neurology.

[14]  Paul E Kinahan,et al.  Evaluating image reconstruction methods for tumor detection in 3-dimensional whole-body PET oncology imaging. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[15]  V. Dhawan,et al.  Reproducibility of regional metabolic covariance patterns: comparison of four populations. , 1999, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[16]  Michel Defrise,et al.  Exact and approximate rebinning algorithms for 3-D PET data , 1997, IEEE Transactions on Medical Imaging.

[17]  T G Turkington,et al.  Performance characteristics of a whole-body PET scanner. , 1994, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[18]  J. Hughes,et al.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. , 1992, Journal of neurology, neurosurgery, and psychiatry.

[19]  Paul Kinahan,et al.  Analytic 3D image reconstruction using all detected events , 1989 .

[20]  W. Gibb,et al.  The relevance of the Lewy body to the pathogenesis of idiopathic Parkinson's disease. , 1988, Journal of neurology, neurosurgery, and psychiatry.

[21]  S. Strother,et al.  Scaled Subprofile Model: A Statistical Approach to the Analysis of Functional Patterns in Positron Emission Tomographic Data , 1987, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.