PET Neuroimaging: The White Elephant Packs His Trunk?

keywords or title. I then categorized these papers based on my roughassessment of theirmain theme; in eight of the 78 cases, the articles seemed to fall cleanly between two ofmy ad hoc criteria, and are thus reported twice. In addition to this thematic analysis ofNeuroImage in 2012, I also made a historical survey of the penetration of PET in the greater scientific literature, based on a simple PubMed keyword search. Some patterns emerging from this exercise may guide and inform the trajectory of publishing brain PET research in NeuroImage and elsewhere.

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[29]  Bernd J. Pichler,et al.  Imaging DA release in a rat model of L-DOPA-induced dyskinesias: A longitudinal in vivo PET investigation of the antidyskinetic effect of MDMA , 2012, NeuroImage.

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[46]  Nora D. Volkow,et al.  PET imaging predicts future body weight and cocaine preference , 2012, NeuroImage.

[47]  David Eidelberg,et al.  Functional brain networks and abnormal connectivity in the movement disorders , 2012, NeuroImage.

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[56]  Ian Law,et al.  Negative BOLD signal changes in ipsilateral primary somatosensory cortex are associated with perfusion decreases and behavioral evidence for functional inhibition , 2012, NeuroImage.

[57]  Wolfgang Birkfellner,et al.  Combining image-derived and venous input functions enables quantification of serotonin-1A receptors with [carbonyl-11C]WAY-100635 independent of arterial sampling , 2012, NeuroImage.

[58]  Richard E. Carson,et al.  Optimization of PET–MR registrations for nonhuman primates using mutual information measures: A Multi-Transform Method (MTM) , 2013, NeuroImage.

[59]  Hui Wang,et al.  A tale of two itches. Common features and notable differences in brain activation evoked by cowhage and histamine induced itch , 2012, NeuroImage.

[60]  Simon B. Eickhoff,et al.  Meta-analytical definition and functional connectivity of the human vestibular cortex , 2012, NeuroImage.

[61]  W. Wundt Mental Chronometry , 2022 .

[62]  Mangay Williams,et al.  Quantification of the glycine transporter 1 in rhesus monkey brain using [18F]MK-6577 and a model-based input function , 2012, NeuroImage.

[63]  Christer Halldin,et al.  Quantitative PET analyses of regional [11C]PE2I binding to the dopamine transporter — Application to juvenile myoclonic epilepsy , 2012, NeuroImage.

[64]  John D. Beaver,et al.  Mathematical modelling of [11C]-(+)-PHNO human competition studies , 2013, NeuroImage.

[65]  Daniel Rueckert,et al.  Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease , 2012, NeuroImage.

[66]  Giovanni Giulietti,et al.  Quantitative magnetization transfer provides information complementary to grey matter atrophy in Alzheimer's disease brains , 2012, NeuroImage.

[67]  Vincent P. Clark,et al.  A history of randomized task designs in fMRI , 2012, NeuroImage.

[68]  Hitoshi Shimada,et al.  A short-scan method for k 3 estimation with moderately reversible PET ligands: Application of irreversible model to early-phase PET data , 2012, NeuroImage.

[69]  Nora D. Volkow,et al.  Acute alcohol intoxication decreases glucose metabolism but increases acetate uptake in the human brain , 2013, NeuroImage.

[70]  Fuqiang Zhao,et al.  fMRI of pain processing in the brain: A within-animal comparative study of BOLD vs. CBV and noxious electrical vs. noxious mechanical stimulation in rat , 2012, NeuroImage.

[71]  Ian J. Rowland,et al.  Positron emission tomography assessment of 8-OH-DPAT-mediated changes in an index of cerebral glucose metabolism in female marmosets , 2012, NeuroImage.

[72]  Richard J. Caselli,et al.  Correlations between FDG PET glucose uptake-MRI gray matter volume scores and apolipoprotein E ε4 gene dose in cognitively normal adults: A cross-validation study using voxel-based multi-modal partial least squares , 2012, NeuroImage.

[73]  Karl J. Friston,et al.  The problem of low variance voxels in statistical parametric mapping; a new hat avoids a ‘haircut’ , 2012, NeuroImage.

[74]  Siegfried Kasper,et al.  Prediction of SSRI treatment response in major depression based on serotonin transporter interplay between median raphe nucleus and projection areas , 2012, NeuroImage.

[75]  Evan D. Morris,et al.  A linear model for estimation of neurotransmitter response profiles from dynamic PET data , 2012, NeuroImage.

[76]  Paul Edison,et al.  Comparison of MRI based and PET template based approaches in the quantitative analysis of amyloid imaging with PIB-PET , 2013, NeuroImage.

[77]  Patti Adank,et al.  Design choices in imaging speech comprehension: An Activation Likelihood Estimation (ALE) meta-analysis , 2012, NeuroImage.

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[80]  Randy L. Buckner,et al.  The serendipitous discovery of the brain's default network , 2012, NeuroImage.

[81]  Paul M. Thompson,et al.  Prediction of cognitive decline based on hemispheric cortical surface maps of FDDNP PET , 2012, NeuroImage.

[82]  Robert B. Innis,et al.  Serotonin-1A receptors in major depression quantified using PET: Controversies, confounds, and recommendations , 2012, NeuroImage.

[83]  D J Brooks,et al.  [18F]FDOPA uptake in the raphe nuclei complex reflects serotonin transporter availability. A combined [18F]FDOPA and [11C]DASB PET study in Parkinson's disease , 2012, NeuroImage.

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