2023
DOI: 10.1002/jnr.25253
|View full text |Cite
|
Sign up to set email alerts
|

PET imaging of synaptic density in Parkinsonian disorders

Sarah L. Martin,
Carme Uribe,
Antonio P. Strafella

Abstract: Synaptic dysfunction and altered synaptic pruning are present in people with Parkinsonian disorders. Dopamine loss and alpha‐synuclein accumulation, two hallmarks of Parkinson's disease (PD) pathology, contribute to synaptic dysfunction and reduced synaptic density in PD. Atypical Parkinsonian disorders are likely to have unique spatiotemporal patterns of synaptic density, differentiating them from PD. Therefore, quantification of synaptic density has the potential to support diagnoses, monitor disease progres… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 120 publications
0
1
0
Order By: Relevance
“…Thus, in vivo visualization and quantitative analysis of synaptic density offer extensive clinical applications in the diagnosis, treatment monitoring, and mechanistic research of neurological and psychiatric disorders as well as tumors like NED in NETs (Cai et al, 2019). Up to now, Positron emission tomography (PET) imaging of SV2A has a tremendous potential to be utilized as an early-stage biomarker for Alzheimer's disease (AD) (Mecca et al, 2020) (Mecca et al, 2022), Parkinson's disease (PD) (Delva et al, 2020) (Martin et al, 2023), epilepsy (Tang et al, 2022), autism (Bourgeron, 2015), stroke (Michiels et al, 2023) (Michiels et al, 2022), traumatic brain injury (Jamjoom et al, 2021) and Spinocerebellar Ataxia Type 3 (Chen et al, 2023), as well as psychiatric disorders such as schizophrenia and depression in human subjects (Holmes et al, 2019), including In order to conduct a broader and more in-depth investigation into clinical diseases related to SV2A expression, developing a safe and stable multi-dose [ 18 F] SynVesT-1 radioactive imaging agent production process is of great signi cance. Kenneth Dahl and the co-workers had fully automated radiosynthesis of [ 18 F] SynVesT-1, which performed according to good manufacturing procedure (GMP) using a commercially available module (TracerMaker, ScanSys Laboratorieteknik ApS, Copenhagen, Denmark) with minor changes, and result a highyield, acceptance criteria and quality control (Dahl et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, in vivo visualization and quantitative analysis of synaptic density offer extensive clinical applications in the diagnosis, treatment monitoring, and mechanistic research of neurological and psychiatric disorders as well as tumors like NED in NETs (Cai et al, 2019). Up to now, Positron emission tomography (PET) imaging of SV2A has a tremendous potential to be utilized as an early-stage biomarker for Alzheimer's disease (AD) (Mecca et al, 2020) (Mecca et al, 2022), Parkinson's disease (PD) (Delva et al, 2020) (Martin et al, 2023), epilepsy (Tang et al, 2022), autism (Bourgeron, 2015), stroke (Michiels et al, 2023) (Michiels et al, 2022), traumatic brain injury (Jamjoom et al, 2021) and Spinocerebellar Ataxia Type 3 (Chen et al, 2023), as well as psychiatric disorders such as schizophrenia and depression in human subjects (Holmes et al, 2019), including In order to conduct a broader and more in-depth investigation into clinical diseases related to SV2A expression, developing a safe and stable multi-dose [ 18 F] SynVesT-1 radioactive imaging agent production process is of great signi cance. Kenneth Dahl and the co-workers had fully automated radiosynthesis of [ 18 F] SynVesT-1, which performed according to good manufacturing procedure (GMP) using a commercially available module (TracerMaker, ScanSys Laboratorieteknik ApS, Copenhagen, Denmark) with minor changes, and result a highyield, acceptance criteria and quality control (Dahl et al, 2022).…”
Section: Introductionmentioning
confidence: 99%