Dopaminergic Correlates of Regional Cerebral Blood Flow in Parkinsonian Disorders. Issue 6 (14th March 2022)
- Record Type:
- Journal Article
- Title:
- Dopaminergic Correlates of Regional Cerebral Blood Flow in Parkinsonian Disorders. Issue 6 (14th March 2022)
- Main Title:
- Dopaminergic Correlates of Regional Cerebral Blood Flow in Parkinsonian Disorders
- Authors:
- Nakano, Yoshikazu
Hirano, Shigeki
Kojima, Kazuho
Li, Honglinag
Sakurai, Toru
Suzuki, Masahide
Tai, Hong
Furukawa, Shogo
Sugiyama, Atsuhiko
Yamanaka, Yoshitaka
Yamamoto, Tatsuya
Iimori, Takashi
Yokota, Hajime
Mukai, Hiroki
Horikoshi, Takuro
Uno, Takashi
Kuwabara, Satoshi - Abstract:
- Abstract: Background: Cerebral blood flow (CBF) and dopamine transporter (DAT) images are clinically used for the differential diagnosis of parkinsonian disorders. Objectives: This study aimed to examine the correlation of CBF with striatal DAT in patients with Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) and evaluate the diagnostic power of DAT‐correlated CBF in PD through machine learning with each imaging modality alone or in combination. Methods: Fifty‐eight patients with PD and 71 with APS (24 with multiple system atrophy, 21 with progressive supranuclear palsy, and 26 with corticobasal syndrome) underwent 123 I‐IMP and 123 I‐FP‐CIT single‐photon emission computed tomography. Multiple regression analyses for CBF and striatal DAT binding were conducted on each group. PD probability was predicted by machine learning and receiver operating characteristic curves. Results: The PD group showed more affected striatal DAT binding positively correlated with the ipsilateral prefrontal perfusion and negatively with the bilateral cerebellar perfusion. In corticobasal syndrome, striatal DAT binding positively correlated with the ipsilateral prefrontal perfusion and negatively with the contralateral precentral perfusion. In Richardson's syndrome, striatal DAT binding positively correlated with perfusion in the ipsilateral precentral cortex and basal ganglia. Machine learning showed that the combination of CBF and DAT was better for delineating PD from APS (areaAbstract: Background: Cerebral blood flow (CBF) and dopamine transporter (DAT) images are clinically used for the differential diagnosis of parkinsonian disorders. Objectives: This study aimed to examine the correlation of CBF with striatal DAT in patients with Parkinson's disease (PD) and atypical parkinsonian syndromes (APS) and evaluate the diagnostic power of DAT‐correlated CBF in PD through machine learning with each imaging modality alone or in combination. Methods: Fifty‐eight patients with PD and 71 with APS (24 with multiple system atrophy, 21 with progressive supranuclear palsy, and 26 with corticobasal syndrome) underwent 123 I‐IMP and 123 I‐FP‐CIT single‐photon emission computed tomography. Multiple regression analyses for CBF and striatal DAT binding were conducted on each group. PD probability was predicted by machine learning and receiver operating characteristic curves. Results: The PD group showed more affected striatal DAT binding positively correlated with the ipsilateral prefrontal perfusion and negatively with the bilateral cerebellar perfusion. In corticobasal syndrome, striatal DAT binding positively correlated with the ipsilateral prefrontal perfusion and negatively with the contralateral precentral perfusion. In Richardson's syndrome, striatal DAT binding positively correlated with perfusion in the ipsilateral precentral cortex and basal ganglia. Machine learning showed that the combination of CBF and DAT was better for delineating PD from APS (area under the curve [AUC] = 0.87) than either CBF (0.67) or DAT (0.50) alone. Conclusions: In PD and four‐repeat tauopathy, prefrontal perfusion was related to ipsilateral nigrostriatal dopaminergic function. This dual‐tracer frontostriatal relationship may be effectively used as a diagnostic tool for delineating PD from APS. © 2022 International Parkinson and Movement Disorder Society Abstract : Analyses of 123 I‐IMP and 123 I‐FP‐CIT single‐photon emission computed tomography showed that striatal dopamine transporter correlated with frontal perfusion in Parkinson's disease, Richardson's syndrome, and corticobasal syndrome. The results contributed to delineating Parkinson's disease from atypical parkinsonian syndromes by machine learning (area under the receiver operating characteristics curve = 0.87). … (more)
- Is Part Of:
- Movement disorders. Volume 37:Issue 6(2022)
- Journal:
- Movement disorders
- Issue:
- Volume 37:Issue 6(2022)
- Issue Display:
- Volume 37, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 37
- Issue:
- 6
- Issue Sort Value:
- 2022-0037-0006-0000
- Page Start:
- 1235
- Page End:
- 1244
- Publication Date:
- 2022-03-14
- Subjects:
- parkinsonian disorders -- cerebral blood flow -- dopamine transporter -- single‐photon emission computed tomography -- machine learning
Movement disorders -- Periodicals
610 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1531-8257 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mds.28981 ↗
- Languages:
- English
- ISSNs:
- 0885-3185
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5980.317200
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