TABLE 4C / 4A correlation tables (Year 0/1/2/4 Spearman MDS-UPDRS × DATSCAN SBR), 6Mo vs UPDRS III / 4Y vs UPDRS III longitudinal rows (Tribais 2019 / Toiraj 2022), Correlation between Datscan & histologic markers (Doplowski 2013 #1067 mice TH/FA/DAT/striatal-fiber correlations), Correlation between Datscan & SN volume (Isaacs 2016 #1065 cross sectional), Rodent Dopamine transporter imaging — Summary of imaging centers (QST / Sekirai Medical / CIIA at Kawasaki / Medi-physics / Hamamatsu Photonics), CBigD studies opener

Longitudinal correlation between Datscan and UPDRS

(2018 Simuni, PPMI) Given the lack of correlation between longitudinal changes of DAT and MDS-UPDRS, DAT binding cannot be considered a surrogate outcome.

TABLE 4A. Correlations between changes in MDS-UPDRS and percentage change in DATSCAN SBR

	Change at year 1		Change at year 4
	r	p	r	p

study	Endpoint vs change	Result
(Tribais, 2019 #2722) Table 6A: 6Mo vs UPDRS III		r = -.3614, P = 0.0245
(Toiraj, 2022 #1893) Table 13: 4Y vs UPDRS III		r = -0.111 / -0.197 (p = 0.197)

Correlation between Datscan & histologic markers

(Doplowski, 2013 #1067) Mice, N=4-13 per group, 대체 well correlated.

Across all experimental animals, the numbers of DAergic TH+ neurons in the SNc were positively correlated with striatal DAergic fiber densities (TH: r = 0.85, p < 1E-6; FA: r = 0.92, p < 1E-9, n = 124, Fig. 5B). Also striatal TH+ and DAT+ fiber densities correlated with each other (r = 0.99, p = 1.91 × 10^-15, n = 156, Fig. 5C). Striatal FP-CIT binding was positively correlated with the input TH+ neuronal number (r = 0.84, p = 1.42 × 10^-15, n = 100; Fig. 5D) as well as with the striatal fiber densities (TH: r = 0.85, p = 1.7 × 10^-15, n = 100; DAT: r = 0.84, p = 1.05 × 10^-15, n = 100; Fig. 5E). These correlations were corroborated by the analysis of the NaCl/LD and NaCl/PFx groups, which had significantly lower TH-immunoreactivity, lower FP-CIT signal and higher DAT-immunoreactivity in the striatum compared to the NaCl/H2O group, despite the comparable input TH cell number (see above). When the NaCl/LD and NaCl/PFx groups were excluded, these correlations were even stronger (input TH-cells in striatal TH+ fibers: r = 0.92, p = 3.92 × 10^-15, n = 89, striatal TH+ cells vs striatal DAT+ fibers: r = 0.91, p = 4.92 × 10^-15, n = 68, striatal FP-CIT vs striatal DAT+ fibers: r = 0.91, p = 5.81 × 10^-15, n = 68, striatal FP-CIT vs striatal DAT+ fibers: r = 0.91, p = 5.81 × 10^-15, n = 68; Fig 5A-F).

Source?

Correlation between input cell layers and striatal differentiation: nigrostriatal projections (1990 #1067).
Furthermore, the progression of axonal degeneration along the basal nigro-stratum (1.5 SE) is markedly similar to the pattern of striatal TH+ profiles’ decay, demonstrating in both rodents (PD models, Loomans, Z, ed. with an experimental rodent of decreased that we just first 5 fy of disease progression).

Correlation between Datscan & SN volume

(Isaacs, 2016 #1065) Cross sectional / Correlation with DAT imaging.

Rodent Dopamine transporter imaging

Summary of imaging centers

Organization	image	people
QST	Tetsuya Suhara, suhara@nirs.go.jp imaging is dopamine receptor (mostly D2/D3) imaging	(from Otsuki, Tomihiro) Takashi Horiguchi horiguchi.takashi@qst.go.jp / the objective should be a research collaboration and it may be difficult to use the CRO
Sekirai Medical	Sekirai Medical seems to offer PET service for rodent (I could not find English page, sorry)	https://www.sekiraimedical.jp/news/release/100617.html
CIIA at Kawasaki	https://www.cira.or.jp/en/index.html
Medi-physics	Evaluation of various model animals by MRI Mouse brain analysis using ultracentrifuge coil Evaluation of model animals using 3D micro X-ray CT and laboratory animals Macro fluorescence imaging
Hamamatsu Photonics	https://www.amp-pub.com/scope-of-work/clinical_pet.html	Hamamatsu Photonics Pharmacosmotic Research (which would be related to Hamamatsu photonics) and Hamamatsu University School of Medicine), only NSF may be dealt. https://corp.lab2-amp.jp.com/2020/02/13/PET-1/-subcat/dnu.com
신부재해방안내제이엘드맘크	분당지역재만의 (Email) 010 8831 7806 / [한가만지방의 분당내제민어크) 031-787- / 다 자세한 가만 답이 가만 다 가지 가가 PET, SPECT 도 7만 90 scan / 가 0 정 / 가 가 가가 답이.
(KBigD)	Innovative Center for Bio-imaging Guided Drug Discovery and Development https://www.bioimagging.or.kr/ 이세준 / +82-43-260-9890 M: +82-10-3508-1667 / e-mail jkse@khu.ac.kr or kr@khu.ac.kr

(BigD) studies

2020	mouse	MPTP (sp, subacute), Drug (starting from
Control / 2.1 ± 0.6 / 2.1 ± 0.2 / 2.1 ± 0.5 MPTP model without KM-819 / 1.8 ± 0.7 / 1.3 ± 0.3 / 1.2 ± 0.5 MPTP model with KM-819 / 2.2 ± 0.4 / 1.2 ± 0.3 / 1.6 ± 0.5 CV (striatum) 가 ~27% (control 21%, MPTP mice 30%)로 양호.

Uncertain Spans

location	transcription	uncertainty
Hamamatsu Photonics row	https://www.amp-pub.com/scope-of-work/clinical_pet.html and Korean address rows	reads as written with OCR artefacts; preserved verbatim.