Quantification of receptor–ligand binding potential in sub-striatal domains using probabilistic and template regions of interest
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Julio Acosta-Cabronero | Natalia del Campo | Roger J. Tait | Young T. Hong | David Izquierdo-Garcia | Rob Smith | Franklin I. Aigbirhio | Barbara J. Sahakian | Ulrich Müller | Trevor W. Robbins | Tim D. Fryer | T. Robbins | B. Sahakian | U. Müller | R. Tait | T. Fryer | J. Acosta-Cabronero | D. Izquierdo-Garcia | F. Aigbirhio | N. D. Campo | Rob Smith
[1] A. M. Dale,et al. A hybrid approach to the skull stripping problem in MRI , 2004, NeuroImage.
[2] R. P. Maguire,et al. Consensus Nomenclature for in vivo Imaging of Reversibly Binding Radioligands , 2007, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[3] Shitij Kapur,et al. An automated method for the extraction of regional data from PET images , 2006, Psychiatry Research: Neuroimaging.
[4] C. Almli,et al. Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.
[5] Vincent J. Cunningham,et al. Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model , 1997, NeuroImage.
[6] L. R. Dice. Measures of the Amount of Ecologic Association Between Species , 1945 .
[7] S. Haber,et al. Imaging Human Mesolimbic Dopamine Transmission with Positron Emission Tomography. Part II: Amphetamine-Induced Dopamine Release in the Functional Subdivisions of the Striatum , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[8] Makoto Inoue,et al. Template-Based Method for Multiple Volumes of Interest of Human Brain PET Images , 2002, NeuroImage.
[9] Mohammad Sib Ansari,et al. Occupancy of Striatal and Extrastriatal Dopamine D2/D3 Receptors by Olanzapine and Haloperidol , 2005, Neuropsychopharmacology.
[10] Dong Soo Lee,et al. Quantification of F-18 FDG PET Images in Temporal Lobe Epilepsy Patients Using Probabilistic Brain Atlas , 2000, NeuroImage.
[11] Frank Telang,et al. Depressed dopamine activity in caudate and preliminary evidence of limbic involvement in adults with attention-deficit/hyperactivity disorder. , 2007, Archives of general psychiatry.
[12] Daniel Rueckert,et al. Automatic anatomical brain MRI segmentation combining label propagation and decision fusion , 2006, NeuroImage.
[13] Alexander Hammers,et al. Three‐dimensional maximum probability atlas of the human brain, with particular reference to the temporal lobe , 2003, Human brain mapping.
[14] Olga V. Demler,et al. The World Health Organization adult ADHD self-report scale (ASRS): a short screening scale for use in the general population , 2005, Psychological Medicine.
[15] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[16] Nora D. Volkow,et al. Brain dopamine transporter levels in treatment and drug naïve adults with ADHD , 2007, NeuroImage.
[17] M. Paule,et al. Analysis of methylphenidate and its metabolite ritalinic acid in monkey plasma by liquid chromatography/electrospray ionization mass spectrometry. , 2000, Rapid communications in mass spectrometry : RCM.
[18] A. Bond,et al. The use of analogue scales in rating subjective feelings , 1974 .
[19] D. Kupfer,et al. Amphetamine-induced dopamine release in human ventral striatum correlates with euphoria , 2001, Biological Psychiatry.
[20] U. Ruotsalainen,et al. Automatic Extraction of Caudate and Putamen in [$^11$C] Raclopride PET Using Deformable Surface Models and Normalized Cuts , 2006, IEEE Transactions on Nuclear Science.
[21] D. Joel,et al. The connections of the dopaminergic system with the striatum in rats and primates: an analysis with respect to the functional and compartmental organization of the striatum , 2000, Neuroscience.
[22] F Kehren,et al. Left-right asymmetry of striatal dopamine D2 receptors. , 1998, Nuclear medicine communications.
[23] James Robert Brašić,et al. Relationships Among Ventral Striatal Dopamine Release, Cortisol Secretion, and Subjective Responses to Amphetamine , 2005, Neuropsychopharmacology.
[24] T. Robbins,et al. Atomoxetine Improved Response Inhibition in Adults with Attention Deficit/Hyperactivity Disorder , 2007, Biological Psychiatry.
[25] Satrajit S. Ghosh,et al. Evaluation of volume-based and surface-based brain image registration methods , 2010, NeuroImage.
[26] Bennett A. Landman,et al. Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs , 2006, NeuroImage.
[27] Arno Klein,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration , 2009, NeuroImage.
[28] Paul Kinahan,et al. Analytic 3D image reconstruction using all detected events , 1989 .
[29] S. Haber. The primate basal ganglia: parallel and integrative networks , 2003, Journal of Chemical Neuroanatomy.
[30] Alan C. Evans,et al. A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.
[31] John Duncan,et al. Implementation and application of a brain template for multiple volumes of interest , 2002, Human brain mapping.
[32] P. Nathan,et al. Molecular Imaging of the Dopaminergic System and its Association with Human Cognitive Function , 2006, Biological Psychiatry.
[33] S. Haber,et al. Increased synaptic dopamine function in associative regions of the striatum in schizophrenia. , 2010, Archives of general psychiatry.
[34] Qian Wang,et al. Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation , 2005, IPMI.
[35] J. Stockman,et al. Evaluating Dopamine Reward Pathway in ADHD: Clinical Implications , 2011 .
[36] Nikolaus R. McFarland,et al. Striatonigrostriatal Pathways in Primates Form an Ascending Spiral from the Shell to the Dorsolateral Striatum , 2000, The Journal of Neuroscience.
[37] A. Egerton,et al. Dopamine Release in the Human Striatum: Motor and Cognitive Tasks Revisited , 2009, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[38] Osama Mawlawi,et al. Imaging Human Mesolimbic Dopamine Transmission with Positron Emission Tomography: I. Accuracy and Precision of D2 Receptor Parameter Measurements in Ventral Striatum , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[39] A. Lammertsma,et al. Simplified Reference Tissue Model for PET Receptor Studies , 1996, NeuroImage.
[40] Mark Slifstein,et al. Amphetamine-induced dopamine release: markedly blunted in cocaine dependence and predictive of the choice to self-administer cocaine. , 2007, The American journal of psychiatry.
[41] Mark Slifstein,et al. Alcohol Dependence Is Associated with Blunted Dopamine Transmission in the Ventral Striatum , 2005, Biological Psychiatry.
[42] Olaf B. Paulson,et al. MR-based automatic delineation of volumes of interest in human brain PET images using probability maps , 2005, NeuroImage.
[43] Alexander Hammers,et al. Functional and structural synergy for resolution recovery and partial volume correction in brain PET , 2009, NeuroImage.
[44] Terry M. Peters,et al. 3D statistical neuroanatomical models from 305 MRI volumes , 1993, 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference.
[45] Alexander Hammers,et al. Volumes, spatial extents and a probabilistic atlas of the human basal ganglia and thalamus , 2007, NeuroImage.
[46] Paul E Kinahan,et al. PET Measures of Amphetamine-Induced Dopamine Release in Ventral versus Dorsal Striatum , 1999, Neuropsychopharmacology.
[47] Hans-Georg Buchholz,et al. Asymmetry in dopamine D2/3 receptors of caudate nucleus is lost with age , 2007, NeuroImage.
[48] Simon Cervenka,et al. Associations between dopamine D2-receptor binding and cognitive performance indicate functional compartmentalization of the human striatum , 2008, NeuroImage.
[49] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[50] Curtis B Caldwell,et al. Comparison of manual and semi-automated delineation of regions of interest for radioligand PET imaging analysis , 2007, BMC nuclear medicine.
[51] Iwao Kanno,et al. Functional and structural synergy for resolution recovery and partial volume correction in brain PET , 2009, NeuroImage.
[52] B. Dawant,et al. Dopamine D2 Receptor Levels in Striatum, Thalamus, Substantia Nigra, Limbic Regions, and Cortex in Schizophrenic Subjects , 2009, Biological Psychiatry.
[53] Babak A. Ardekani,et al. Quantitative comparison of algorithms for inter-subject registration of 3D volumetric brain MRI scans , 2005, Journal of Neuroscience Methods.
[54] Ulla Ruotsalainen,et al. Evaluation of the automatic three-dimensional delineation of caudate and putamen for PET receptor occupancy studies , 2008, Nuclear medicine communications.
[55] Simon B. Eickhoff,et al. Analysis of neuroreceptor PET-data based on cytoarchitectonic maximum probability maps: a feasibility study , 2005, Anatomy and Embryology.
[56] Guy B. Williams,et al. The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry , 2008, NeuroImage.
[57] Arthur W. Toga,et al. Construction of a 3D probabilistic atlas of human cortical structures , 2008, NeuroImage.
[58] Arman Rahmim,et al. Design and Implementation of an Automated Partial Volume Correction in PET: Application to Dopamine Receptor Quantification in the Normal Human Striatum , 2008, Journal of Nuclear Medicine.