Wise RA, Robble MA (2020) Dopamine and addiction. Annu Rev Psychol 71:79–106

Article  PubMed  Google Scholar 

Speranza L, di Porzio U, Viggiano D, de Donato A, Volpicelli F (2021) Dopamine: the neuromodulator of long-term synaptic plasticity, reward and movement control. Cells. https://doi.org/10.3390/cells10040735

Article  PubMed  PubMed Central  Google Scholar 

Glaser T, Andrejew R, Oliveira-Giacomelli A et al (2020) Purinergic receptors in basal ganglia diseases: shared molecular mechanisms between Huntington’s and Parkinson’s disease. Neurosci Bull 36:1299–1314

Article  CAS  PubMed  PubMed Central  Google Scholar 

Rominger A, Mille E, Boning G et al (2010) alpha2-adrenergic drugs modulate the binding of [18F]fallypride to dopamine D2/3 receptors in striatum of living mouse. Synapse 64:654–657

Article  CAS  PubMed  Google Scholar 

Millet P, Moulin-Sallanon M, Tournier BB et al (2012) Quantification of dopamine D(2/3) receptors in rat brain using factor analysis corrected [18F]fallypride images. Neuroimage 62:1455–1468

Article  CAS  PubMed  Google Scholar 

Tsartsalis S, Moulin-Sallanon M, Dumas N, Tournier BB, Ginovart N, Millet P (2014) A modified simplified reference tissue model for the quantification of dopamine D2/3 receptors with [18F]fallypride images. Mol Imaging 13:1–14

Article  Google Scholar 

Salinas CA, Searle GE, Gunn RN (2015) The simplified reference tissue model: model assumption violations and their impact on binding potential. J Cereb Blood Flow Metab 35:304–311

Article  PubMed  Google Scholar 

Miranda A, Bertoglio D, Staelens S, Verhaeghe J (2023) Accurate image derived input function in [(18)F]SynVesT-1 mouse studies using isoflurane and ketamine/xylazine anesthesia. EJNMMI Phys 10:78

Article  PubMed  PubMed Central  Google Scholar 

Hafshejani SF, Moaberfard Z (2022) Initialization for non-negative matrix factorization: a comprehensive review. Int J Data Sci Anal. https://doi.org/10.1007/s41060-022-00370-9

Article  Google Scholar 

Presotto L, Bettinardi V, Mercatelli D et al (2022) Development of a new toolbox for mouse PET-CT brain image analysis fully based on CT images and validation in a PD mouse model. Sci Rep 12:15822

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dutta J, Leahy RM, Li Q (2013) Non-local means denoising of dynamic PET images. PLoS One 8:e81390

Article  PubMed  PubMed Central  Google Scholar 

Feng DG, Wang XM (1993) A computer-simulation study on the effects of input function measurement noise in tracer kinetic modeling with positron emission tomography (Pet). Comput Biol Med 23:57–68

Article  CAS  PubMed  Google Scholar 

Gobert A, Rivet JM, Audinot V, Newman-Tancredi A, Cistarelli L, Millan MJ (1998) Simultaneous quantification of serotonin, dopamine and noradrenaline levels in single frontal cortex dialysates of freely-moving rats reveals a complex pattern of reciprocal auto- and heteroreceptor-mediated control of release. Neuroscience 84:413–429

Article  CAS  PubMed  Google Scholar 

Hudson AL, Robinson ES, Lalies MD, Tyacke RJ, Jackson HC, Nutt DJ (1999) In vitro and in vivo approaches to the characterization of the alpha2-adrenoceptor. J Auton Pharmacol 19:311–320

Article  CAS  PubMed  Google Scholar 

Miranda A, Bertoglio D, Glorie D, Stroobants S, Staelens S, Verhaeghe J (2020) Validation of a spatially variant resolution model for small animal brain PET studies. Biomed Phys Eng Express 6:045001

Article  PubMed  Google Scholar 

Lammertsma AA, Hume SP (1996) Simplified reference tissue model for PET receptor studies. Neuroimage 4:153–158

Article  CAS  PubMed  Google Scholar 

Logan J, Fowler JS, Volkow ND, Wang GJ, Ding YS, Alexoff DL (1996) Distribution volume ratios without blood sampling from graphical analysis of PET data. J Cereb Blood Flow Metab 16:834–840

Article  CAS  PubMed  Google Scholar 

Kimura Y, Naganawa M, Shidahara M, Ikoma Y, Watabe H (2007) PET kinetic analysis –pitfalls and a solution for the Logan plot. Ann Nucl Med 21:1–8

Article  PubMed  Google Scholar 

Tantawy MN, Jones CK, Baldwin RM et al (2009) (18)F]fallypride dopamine D2 receptor studies using delayed microPET scans and a modified Logan plot. Nucl Med Biol 36:931–940

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ding C, Li T, Peng W, Park H (2006) Orthogonal nonnegative matrix t-factorizations for clustering. In Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining. Association for Computing Machinery, Philadelphia, PA, USA, pp 126–135

Ang AMS, Gillis N (2019) Algorithms and comparisons of nonnegative matrix factorizations with volume regularization for hyperspectral unmixing. IEEE J Sel Top Appl Earth Obs Remote Sens 12:4843–4853

Article  Google Scholar 

Rominger A, Mille E, Zhang S et al (2010) Validation of the octamouse for simultaneous 18F-fallypride small-animal PET recordings from 8 mice. J Nucl Med 51:1576–1583

Article  PubMed  Google Scholar 

Rominger A, Wagner E, Mille E et al (2010) Endogenous competition against binding of [(18)F]DMFP and [(18)F]fallypride to dopamine D(2/3) receptors in brain of living mouse. Synapse 64:313–322

Article  CAS  PubMed  Google Scholar 

Price JC, Mason NS, Lopresti B, et al. (1998) PET measurement of endogenous neurotransmitter activity using high and low affinity radiotracers. In: Carson RE, Daube-Witherspoon ME, Herscovitch P (eds) Quantitative functional brain imaging with positron emission tomography. Academic Press. pp. 441–448

Peyronneau MA, Saba W, Goutal S et al (2013) [(18)F]Fallypride: metabolism studies and quantification of the radiotracer and its radiometabolites in plasma using a simple and rapid solid-phase extraction method. Nucl Med Biol 40:887–895

Article  CAS  PubMed  Google Scholar 

Mukherjee J, Christian BT, Dunigan KA et al (2002) Brain imaging of 18F-fallypride in normal volunteers: blood analysis, distribution, test-retest studies, and preliminary assessment of sensitivity to aging effects on dopamine D-2/D-3 receptors. Synapse 46:170–188

Article  CAS  PubMed  Google Scholar 

Rousset OG, Collins DL, Rahmim A, Wong DF (2008) Design and implementation of an automated partial volume correction in PET: application to dopamine receptor quantification in the normal human striatum. J Nucl Med 49:1097–1106

Article  PubMed  PubMed Central  Google Scholar