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Piramide N, De Micco R, Siciliano M, Silvestro M, Tessitore A. Resting-State Functional MRI Approaches to Parkinsonisms and Related Dementia. Curr Neurol Neurosci Rep 2024; 24:461-477. [PMID: 39046642 DOI: 10.1007/s11910-024-01365-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/12/2024] [Indexed: 07/25/2024]
Abstract
PURPOSE OF THE REVIEW In this review, we attempt to summarize the most updated studies that applied resting-state functional magnetic resonance imaging (rs-fMRI) in the field of Parkinsonisms and related dementia. RECENT FINDINGS Over the past decades, increasing interest has emerged on investigating the presence and pathophysiology of cognitive symptoms in Parkinsonisms and their possible role as predictive biomarkers of neurodegenerative brain processes. In recent years, evidence has been provided, applying mainly three methodological approaches (i.e. seed-based, network-based and graph-analysis) on rs-fMRI data, with promising results. Neural correlates of cognitive impairment and dementia have been detected in patients with Parkinsonisms along the diseases course. Interestingly, early functional connectivity signatures were proposed to track and predict future progression of neurodegenerative processes. However, longitudinal studies are still sparce and further investigations are needed to overcome this knowledge gap.
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Affiliation(s)
- Noemi Piramide
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Rosa De Micco
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
- Neuropsychology Laboratory, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Marcello Silvestro
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy
| | - Alessandro Tessitore
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy.
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Jeong SH, Lee EC, Chung SJ, Lee HS, Jung JH, Sohn YH, Seong JK, Lee PH. Local striatal volume and motor reserve in drug-naïve Parkinson's disease. NPJ Parkinsons Dis 2022; 8:168. [PMID: 36470876 PMCID: PMC9722895 DOI: 10.1038/s41531-022-00429-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 11/11/2022] [Indexed: 12/12/2022] Open
Abstract
Motor reserve (MR) may explain why individuals with similar pathological changes show marked differences in motor deficits in Parkinson's disease (PD). In this study, we investigated whether estimated individual MR was linked to local striatal volume (LSV) in PD. We analyzed data obtained from 333 patients with drug naïve PD who underwent dopamine transporter scans and high-resolution 3-tesla T1-weighted structural magnetic resonance images. Using a residual model, we estimated individual MRs on the basis of initial UPDRS-III score and striatal dopamine depletion. We performed a correlation analysis between MR estimates and LSV. Furthermore, we assessed the effect of LSV, which is correlated with MR estimates, on the longitudinal increase in the levodopa-equivalent dose (LED) during the 4-year follow-up period using a linear mixed model. After controlling for intracranial volume, there was a significant positive correlation between LSV and MR estimates in the bilateral caudate, anterior putamen, and ventro-posterior putamen. The linear mixed model showed that the large local volume of anterior and ventro-posterior putamen was associated with the low requirement of LED initially and accelerated LED increment thereafter. The present study demonstrated that LSV is crucial to MR in early-stage PD, suggesting LSV as a neural correlate of MR in PD.
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Affiliation(s)
- Seong Ho Jeong
- grid.15444.300000 0004 0470 5454Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea ,grid.411627.70000 0004 0647 4151Department of Neurology, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Eun-Chong Lee
- grid.222754.40000 0001 0840 2678School of Biomedical Engineering, Korea University, Seoul, South Korea
| | - Seok Jong Chung
- grid.15444.300000 0004 0470 5454Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea ,grid.413046.40000 0004 0439 4086Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
| | - Hye Sun Lee
- grid.15444.300000 0004 0470 5454Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Ho Jung
- grid.411625.50000 0004 0647 1102Department of Neurology, Inje University Busan Paik Hospital, Seoul, South Korea
| | - Young H. Sohn
- grid.15444.300000 0004 0470 5454Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Joon-Kyung Seong
- grid.222754.40000 0001 0840 2678School of Biomedical Engineering, Korea University, Seoul, South Korea ,grid.222754.40000 0001 0840 2678Department of Artificial Intelligence, Korea University, Seoul, South Korea
| | - Phil Hyu Lee
- grid.15444.300000 0004 0470 5454Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea ,grid.15444.300000 0004 0470 5454Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
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