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Sung C, Oh SJ, Kim JS. Imaging Procedure and Clinical Studies of [ 18F]FP-CIT PET. Nucl Med Mol Imaging 2024; 58:185-202. [PMID: 38932763 PMCID: PMC11196481 DOI: 10.1007/s13139-024-00840-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 12/15/2023] [Accepted: 01/05/2024] [Indexed: 06/28/2024] Open
Abstract
N-3-[18F]fluoropropyl-2β-carbomethoxy-3β-4-iodophenyl nortropane ([18F]FP-CIT) is a radiopharmaceutical for dopamine transporter (DAT) imaging using positron emission tomography (PET) to detect dopaminergic neuronal degeneration in patients with parkinsonian syndrome. [18F]FP-CIT was granted approval by the Ministry of Food and Drug Safety in 2008 as the inaugural radiopharmaceutical for PET imaging, and it has found extensive utilization across numerous institutions in Korea. This review article presents an imaging procedure for [18F]FP-CIT PET to aid nuclear medicine physicians in clinical practice and systematically reviews the clinical studies associated with [18F]FP-CIT PET.
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Affiliation(s)
- Changhwan Sung
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505 Republic of Korea
| | - Seung Jun Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505 Republic of Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-Ro 43-Gil, Songpa-Gu, Seoul, 05505 Republic of Korea
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Leung IHK, Strudwick MW. A systematic review of the challenges, emerging solutions and applications, and future directions of PET/MRI in Parkinson's disease. EJNMMI REPORTS 2024; 8:3. [PMID: 38748251 PMCID: PMC10962627 DOI: 10.1186/s41824-024-00194-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 12/26/2023] [Indexed: 05/19/2024]
Abstract
PET/MRI is a hybrid imaging modality that boasts the simultaneous acquisition of high-resolution anatomical data and metabolic information. Having these exceptional capabilities, it is often implicated in clinical research for diagnosing and grading, as well as tracking disease progression and response to interventions. Despite this, its low level of clinical widespread use is questioned. This is especially the case with Parkinson's disease (PD), the fastest progressively disabling and neurodegenerative cause of death. To optimise the clinical applicability of PET/MRI for diagnosing, differentiating, and tracking PD progression, the emerging novel uses, and current challenges must be identified. This systematic review aimed to present the specific challenges of PET/MRI use in PD. Further, this review aimed to highlight the possible resolution of these challenges, the emerging applications and future direction of PET/MRI use in PD. EBSCOHost (indexing CINAHL Plus, PsycINFO) Ovid (Medline, EMBASE) PubMed, Web of Science, and Scopus from 2006 (the year of first integrated PET/MRI hybrid system) to 30 September 2022 were used to search for relevant primary articles. A total of 933 studies were retrieved and following the screening procedure, 18 peer-reviewed articles were included in this review. This present study is of great clinical relevance and significance, as it informs the reasoning behind hindered widespread clinical use of PET/MRI for PD. Despite this, the emerging applications of image reconstruction developed by PET/MRI research data to the use of fully automated systems show promising and desirable utility. Furthermore, many of the current challenges and limitations can be resolved by using much larger-sampled and longitudinal studies. Meanwhile, the development of new fast-binding tracers that have specific affinity to PD pathological processes is warranted.
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Kas A, Rozenblum L, Pyatigorskaya N. Clinical Value of Hybrid PET/MR Imaging: Brain Imaging Using PET/MR Imaging. Magn Reson Imaging Clin N Am 2023; 31:591-604. [PMID: 37741643 DOI: 10.1016/j.mric.2023.06.004] [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] [Indexed: 09/25/2023]
Abstract
Hybrid PET/MR imaging offers a unique opportunity to acquire MR imaging and PET information during a single imaging session. PET/MR imaging has numerous advantages, including enhanced diagnostic accuracy, improved disease characterization, and better treatment planning and monitoring. It enables the immediate integration of anatomic, functional, and metabolic imaging information, allowing for personalized characterization and monitoring of neurologic diseases. This review presents recent advances in PET/MR imaging and highlights advantages in clinical practice for neuro-oncology, epilepsy, and neurodegenerative disorders. PET/MR imaging provides valuable information about brain tumor metabolism, perfusion, and anatomic features, aiding in accurate delineation, treatment response assessment, and prognostication.
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Affiliation(s)
- Aurélie Kas
- Department of Nuclear Medicine, Pitié-Salpêtrière Hospital, APHP Sorbonne Université, Paris, France; Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris F-75006, France.
| | - Laura Rozenblum
- Department of Nuclear Medicine, Pitié-Salpêtrière Hospital, APHP Sorbonne Université, Paris, France; Sorbonne Université, INSERM, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris F-75006, France
| | - Nadya Pyatigorskaya
- Neuroradiology Department, Pitié-Salpêtrière Hospital, APHP Sorbonne Université, Paris, France; Sorbonne Université, UMR S 1127, CNRS UMR 722, Institut du Cerveau, Paris, France
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Regional cortical hypoperfusion and atrophy correlate with striatal dopaminergic loss in Parkinson's disease: a study using arterial spin labeling MR perfusion. Neuroradiology 2023; 65:569-577. [PMID: 36376524 DOI: 10.1007/s00234-022-03085-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 11/08/2022] [Indexed: 11/15/2022]
Abstract
PURPOSE To investigate the relationship of the striatal dopamine transporter density to changes in the gray matter (GM) volume and cerebral perfusion in patients with Parkinson's disease (PD). METHODS We evaluated the regional cerebral blood flow (CBF) and GM volume, concurrently measured using arterial spin labeling and T1-weighted magnetic resonance imaging, respectively, as well as the striatal specific binding ratio (SBR) in 123I-N-ω-fluoropropyl-2β-carboxymethoxy-3β-(4-iodophenyl)nortropane (123I-FP-CIT) single-photon emission computed tomography in 30 non-demented patients with PD (15 men and 15 women; mean age, 67.2 ± 8.8 years; mean Hoehn-Yahr stage, 2.2 ± 0.9). Voxel-wise regression analyses using statistical parametric mapping (SPM) were performed to explore the brain regions that showed correlations of the striatal SBR to the GM volume and CBF, respectively, with a height threshold of p < 0.0005 at the voxel level and p < 0.05 family-wise error-corrected at the cluster level. RESULTS SPM analysis showed a significant positive correlation between the SBR and GM volume in the inferior frontal gyrus (IFG). Whereas, a positive correlation between the SBR and CBF was widely found in the frontotemporal and parietotemporal regions, including the IFG. Notably, the opercular part of the IFG showed significant correlations in both SPM analyses of the GM volume (r2 = 0.90, p < 0.0001) and CBF (r2 = 0.88, p < 0.0001). CONCLUSION The voxel-wise analyses revealed the brain regions, mainly the IFG, that showed hypoperfusion and atrophy related to dopaminergic loss, which suggests that the progression of dopaminergic neurodegeneration leads to regional cortical dysfunction in PD.
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Hybrid PET-MRI for early detection of dopaminergic dysfunction and microstructural degradation involved in Parkinson's disease. Commun Biol 2021; 4:1162. [PMID: 34621005 PMCID: PMC8497575 DOI: 10.1038/s42003-021-02705-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 09/22/2021] [Indexed: 01/10/2023] Open
Abstract
Dopamine depletion and microstructural degradation underlie the neurodegenerative processes in Parkinson’s disease (PD). To explore early alterations and underlying associations of dopamine and microstructure in PD patients utilizing the hybrid positron emission tomography (PET)-magnetic resonance imaging (MRI). Twenty-five PD patients in early stages and twenty-four matched healthy controls underwent hybrid 18F-fluorodopa (DOPA) PET-diffusion tensor imaging (DTI) scanning. The striatal standardized uptake value ratio (SUVR), DTI maps (fractional anisotropy, FA; mean diffusivity, MD) in subcortical grey matter, and deterministic tractography of the nigrostriatal pathway were processed. Values in more affected (MA) side, less affected (LA) side and mean were analysed. Correlations and mediations among PET, DTI and clinical characteristics were further analysed. PD groups exhibited asymmetric pattern of dopaminergic dysfunction in putamen, impaired integrity in the microstructures (nigral FA, putaminal MD, and FA of nigrostriatal projection). On MA side, significant associations between DTI metrics (nigral FA, putaminal MD, and FA of nigrostriatal projection) and motor performance were significantly mediated by putaminal SUVR, respectively. Early asymmetric disruptions in putaminal dopamine concentrations and nigrostriatal pathway microstructure were detected using hybrid PET-MRI. The findings further implied that molecular degeneration mediates the modulation of microstructural disorganization on motor dysfunction in the early stages of PD. To explore early alterations and underlying associations of dopamine levels and microstructure in Parkinson’s Disease (PD), Shang et al use a hybrid positron emission tomography (PET)-magnetic resonance imaging (MRI) approach in early stage patients and age-matched controls. Their data implies that molecular degeneration mediates the effects of microstructural disorganization on motor dysfunction in the early stages of PD.
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Wu C, Matias C, Foltynie T, Limousin P, Zrinzo L, Akram H. Dynamic Network Connectivity Reveals Markers of Response to Deep Brain Stimulation in Parkinson's Disease. Front Hum Neurosci 2021; 15:729677. [PMID: 34690721 PMCID: PMC8526554 DOI: 10.3389/fnhum.2021.729677] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 07/19/2021] [Indexed: 01/10/2023] Open
Abstract
Background: Neuronal loss in Parkinson's Disease (PD) leads to widespread neural network dysfunction. While graph theory allows for analysis of whole brain networks, patterns of functional connectivity (FC) associated with motor response to deep brain stimulation of the subthalamic nucleus (STN-DBS) have yet to be explored. Objective/Hypothesis: To investigate the distributed network properties associated with STN-DBS in patients with advanced PD. Methods: Eighteen patients underwent 3-Tesla resting state functional MRI (rs-fMRI) prior to STN-DBS. Improvement in UPDRS-III scores following STN-DBS were assessed 1 year after implantation. Independent component analysis (ICA) was applied to extract spatially independent components (ICs) from the rs-fMRI. FC between ICs was calculated across the entire time series and for dynamic brain states. Graph theory analysis was performed to investigate whole brain network topography in static and dynamic states. Results: Dynamic analysis identified two unique brain states: a relative hypoconnected state and a relative hyperconnected state. Time spent in a state, dwell time, and number of transitions were not correlated with DBS response. There were no significant FC findings, but graph theory analysis demonstrated significant relationships with STN-DBS response only during the hypoconnected state - STN-DBS was negatively correlated with network assortativity. Conclusion: Given the widespread effects of dopamine depletion in PD, analysis of whole brain networks is critical to our understanding of the pathophysiology of this disease. Only by leveraging graph theoretical analysis of dynamic FC were we able to isolate a hypoconnected brain state that contained distinct network properties associated with the clinical effects of STN-DBS.
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Affiliation(s)
- Chengyuan Wu
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, PA, United States
- Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Caio Matias
- Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University, Philadelphia, PA, United States
| | - Thomas Foltynie
- Unit of Functional Neurosurgery, UCL Institute of Neurology, London, United Kingdom
| | - Patricia Limousin
- Unit of Functional Neurosurgery, UCL Institute of Neurology, London, United Kingdom
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, UCL Institute of Neurology, London, United Kingdom
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Harith Akram
- Unit of Functional Neurosurgery, UCL Institute of Neurology, London, United Kingdom
- Victor Horsley Department of Neurosurgery, The National Hospital for Neurology and Neurosurgery, London, United Kingdom
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Hu X, Sun X, Hu F, Liu F, Ruan W, Wu T, An R, Lan X. Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson's disease and multiple system atrophy. Eur J Nucl Med Mol Imaging 2021; 48:3469-3481. [PMID: 33829415 DOI: 10.1007/s00259-021-05325-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2020] [Accepted: 03/20/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE To construct multivariate radiomics models using hybrid 18F-FDG PET/MRI for distinguishing between Parkinson's disease (PD) and multiple system atrophy (MSA). METHODS Ninety patients (60 with PD and 30 with MSA) were randomized to training and test sets in a 7:3 ratio. All patients underwent 18F-fluorodeoxyglucose (18F-FDG) PET/MRI to simultaneously obtain metabolic images (18F-FDG), structural MRI images (T1-weighted imaging (T1WI), T2-weighted imaging (T2WI) and T2-weighted fluid-attenuated inversion recovery (T2/FLAIR)) and functional MRI images (susceptibility-weighted imaging (SWI) and apparent diffusion coefficient). Using PET and five MRI sequences, we extracted 1172 radiomics features from the putamina and caudate nuclei. The radiomics signatures were constructed with the least absolute shrinkage and selection operator algorithm in the training set, with progressive optimization through single-sequence and double-sequence radiomics models. Multivariable logistic regression analysis was used to develop a clinical-radiomics model, combining the optimal multi-sequence radiomics signature with clinical characteristics and SUV values. The diagnostic performance of the models was assessed by receiver operating characteristic and decision curve analysis (DCA). RESULTS The radiomics signatures showed favourable diagnostic efficacy. The optimal model comprised structural (T1WI), functional (SWI) and metabolic (18F-FDG) sequences (RadscoreFDG_T1WI_SWI) with the area under curves (AUCs) of the training and test sets of 0.971 and 0.957, respectively. The integrated model, incorporating RadscoreFDG_T1WI_SWI, three clinical symptoms (disease duration, dysarthria and autonomic failure) and SUVmax, demonstrated satisfactory calibration and discrimination in the training and test sets (0.993 and 0.994, respectively). DCA indicated the highest clinical benefit of the clinical-radiomics integrated model. CONCLUSIONS The radiomics signature with metabolic, structural and functional information provided by hybrid 18F-FDG PET/MRI may achieve promising diagnostic efficacy for distinguishing between PD and MSA. The clinical-radiomics integrated model performed best.
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Affiliation(s)
- Xuehan Hu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Xun Sun
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Fan Hu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Fang Liu
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Weiwei Ruan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China
| | - Tingfan Wu
- GE Healthcare, Pudong New Town, No.1, Huatuo Road, Shanghai, 200000, China
| | - Rui An
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
| | - Xiaoli Lan
- Department of Nuclear Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277 Jiefang Ave, Wuhan, 430022, China.
- Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022, China.
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Dayan E, Sklerov M. Autonomic disorders in Parkinson disease: Disrupted hypothalamic connectivity as revealed from resting-state functional magnetic resonance imaging. HANDBOOK OF CLINICAL NEUROLOGY 2021; 182:211-222. [PMID: 34266593 DOI: 10.1016/b978-0-12-819973-2.00014-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Converging evidence from diverse methodologies implicate the hypothalamus in the pathophysiology of Parkinson's disease (PD). Pathology in the hypothalamus and in hypothalamic pathways has been linked primarily to autonomic dysfunction, routinely experienced by individuals with PD throughout the course of the disease, sometimes predating onset of motor symptoms. Postmortem and molecular imaging studies have delineated pathologic changes in the hypothalamus and demonstrated alterations in neurotransmitter systems within this structure and associated pathways, which track the progression of the disease. More recently, functional interactions between the hypothalamus, thalamus, and striatum, as assessed using resting-state functional magnetic resonance imaging, were shown to be reduced in PD patients with high in comparison to those with low autonomic symptom burden. These functional changes may relate to micro- and macrostructural alterations which are also observed in PD. An examination of the hypothalamus and hypothalamic pathways can also shed light on atypical parkinsonian disorders and their distinct pathophysiologic characteristics relative to idiopathic PD. Altogether, the current state of knowledge on the involvement of the hypothalamus in PD is profound, yet emerging methodological advances are likely to move our understanding of hypothalamic pathology in PD significantly forward.
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Affiliation(s)
- Eran Dayan
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
| | - Miriam Sklerov
- Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
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Li W, Lao-Kaim NP, Roussakis AA, Martín-Bastida A, Valle-Guzman N, Paul G, Soreq E, Daws RE, Foltynie T, Barker RA, Hampshire A, Piccini P. Longitudinal functional connectivity changes related to dopaminergic decline in Parkinson's disease. Neuroimage Clin 2020; 28:102409. [PMID: 32916466 PMCID: PMC7490914 DOI: 10.1016/j.nicl.2020.102409] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 08/24/2020] [Accepted: 08/30/2020] [Indexed: 01/02/2023]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging (fMRI) studies have demonstrated that basal ganglia functional connectivity is altered in Parkinson's disease (PD) as compared to healthy controls. However, such functional connectivity alterations have not been related to the dopaminergic deficits that occurs in PD over time. OBJECTIVES To examine whether functional connectivity impairments are correlated with dopaminergic deficits across basal ganglia subdivisions in patients with PD both cross-sectionally and longitudinally. METHODS We assessed resting-state functional connectivity of basal ganglia subdivisions and dopamine transporter density using 11C-PE2I PET in thirty-four PD patients at baseline. Of these, twenty PD patients were rescanned after 19.9 ± 3.8 months. A seed-based approach was used to analyze resting-state fMRI data. 11C-PE2I binding potential (BPND) was calculated for each participant. PD patients were assessed for disease severity. RESULTS At baseline, PD patients with greater dopaminergic deficits, as measured with 11C-PE2I PET, showed larger decreases in posterior putamen functional connectivity with the midbrain and pallidum. Reduced functional connectivity of the posterior putamen with the thalamus, midbrain, supplementary motor area and sensorimotor cortex over time were significantly associated with changes in DAT density over the same period. Furthermore, increased motor disability was associated with lower intraregional functional connectivity of the posterior putamen. CONCLUSIONS Our findings suggest that basal ganglia functional connectivity is related to integrity of dopaminergic system in patients with PD. Application of resting-state fMRI in a large cohort and longitudinal scanning may be a powerful tool for assessing underlying PD pathology and its progression.
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Affiliation(s)
- Weihua Li
- Centre for Neurodegeneration and Neuroinflammation, Division of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom; Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
| | - Nick P Lao-Kaim
- Centre for Neurodegeneration and Neuroinflammation, Division of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom
| | - Andreas-Antonios Roussakis
- Centre for Neurodegeneration and Neuroinflammation, Division of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom
| | - Antonio Martín-Bastida
- Centre for Neurodegeneration and Neuroinflammation, Division of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom; Department of Neurology and Neurosciences, Clínica universidad de Navarra, Pamplona-Madrid, Spain
| | - Natalie Valle-Guzman
- John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge CB2 0PY, United Kingdom
| | - Gesine Paul
- Translational Neurology Group, Department of Clinical Sciences, Wallenberg Neuroscience Centre, Lund University, Lund 221 84, Sweden; Division of Neurology, Department of Clinical Sciences, Lund University, Skåne University Hospital, Lund 22185, Sweden
| | - Eyal Soreq
- Imperial College London, Division of Brain Sciences, Computational Cognitive & Clinical Neuroimaging Lab (C(3)NL), London W12 0NN, United Kingdom
| | - Richard E Daws
- Imperial College London, Division of Brain Sciences, Computational Cognitive & Clinical Neuroimaging Lab (C(3)NL), London W12 0NN, United Kingdom
| | - Tom Foltynie
- Sobell Department of Motor Neuroscience, UCL Institute of Neurology, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, United Kingdom
| | - Roger A Barker
- John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge CB2 0PY, United Kingdom
| | - Adam Hampshire
- Imperial College London, Division of Brain Sciences, Computational Cognitive & Clinical Neuroimaging Lab (C(3)NL), London W12 0NN, United Kingdom
| | - Paola Piccini
- Centre for Neurodegeneration and Neuroinflammation, Division of Brain Sciences, Imperial College London, London W12 0NN, United Kingdom
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Porter E, Roussakis AA, Lao-Kaim NP, Piccini P. Multimodal dopamine transporter (DAT) imaging and magnetic resonance imaging (MRI) to characterise early Parkinson's disease. Parkinsonism Relat Disord 2020; 79:26-33. [PMID: 32861103 DOI: 10.1016/j.parkreldis.2020.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 08/05/2020] [Accepted: 08/08/2020] [Indexed: 01/12/2023]
Abstract
Idiopathic Parkinson's disease (PD), the second most common neurodegenerative disorder, is characterised by the progressive loss of dopaminergic nigrostriatal terminals. Currently, in early idiopathic PD, dopamine transporter (DAT)-specific imaging assesses the extent of striatal dopaminergic deficits, and conventional magnetic resonance imaging (MRI) of the brain excludes the presence of significant ischaemic load in the basal ganglia as well as signs indicative of other forms of Parkinsonism. In this article, we discuss the use of multimodal DAT-specific and MRI protocols for insight into the early pathological features of idiopathic PD, including: structural MRI, diffusion tensor imaging, nigrosomal iron imaging and neuromelanin-sensitive MRI sequences. These measures may be acquired serially or simultaneously in a hybrid scanner. From current evidence, it appears that both nigrosomal iron imaging and neuromelanin-sensitive MRI combined with DAT-specific imaging are useful to assist clinicians in diagnosing PD, while conventional structural MRI and diffusion tensor imaging protocols are better suited to a research context focused on characterising early PD pathology. We believe that in the future multimodal imaging will be able to characterise prodromal PD and stratify the clinical stages of PD progression.
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Affiliation(s)
- Eleanor Porter
- Imperial College London, Hammersmith Hospital, Neurology Imaging Unit, London, UK
| | | | - Nicholas P Lao-Kaim
- Imperial College London, Hammersmith Hospital, Neurology Imaging Unit, London, UK
| | - Paola Piccini
- Imperial College London, Hammersmith Hospital, Neurology Imaging Unit, London, UK.
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Suh M, Im JH, Choi H, Kim HJ, Cheon GJ, Jeon B. Unsupervised clustering of dopamine transporter PET imaging discovers heterogeneity of parkinsonism. Hum Brain Mapp 2020; 41:4744-4752. [PMID: 32757250 PMCID: PMC7555082 DOI: 10.1002/hbm.25155] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 06/24/2020] [Accepted: 07/15/2020] [Indexed: 12/17/2022] Open
Abstract
Parkinsonism has heterogeneous nature, showing distinctive patterns of disease progression and prognosis. We aimed to find clusters of parkinsonism based on 18F‐fluoropropyl‐carbomethoxyiodophenylnortropane (FP‐CIT) PET as a data‐driven approach to evaluate heterogenous dopaminergic neurodegeneration patterns. Two different cohorts of patients who received FP‐CIT PET were collected. A labeled cohort (n = 94) included patients with parkinsonism who underwent a clinical follow‐up of at least 3 years (mean 59.0 ± 14.6 months). An unlabeled cohort (n = 813) included all FP‐CIT PET data of a single‐center. All PET data were clustered by a dimension reduction method followed by hierarchical clustering. Four distinct clusters were defined according to the imaging patterns. When the diagnosis of the labeled cohort of 94 patients was compared with the corresponding cluster, parkinsonism patients were mostly included in two clusters, cluster “0” and “2.” Specifically, patients with progressive supranuclear palsy were significantly more included in cluster 0. The two distinct clusters showed significantly different clinical features. Furthermore, even in PD patients, two clusters showed a trend of different clinical features. We found distinctive clusters of parkinsonism based on FP‐CIT PET‐derived heterogeneous neurodegeneration patterns, which were associated with different clinical features. Our results support a biological underpinning for the heterogeneity of neurodegeneration in parkinsonism.
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Affiliation(s)
- Minseok Suh
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea.,Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - Jin Hee Im
- Department of Neurology and Movement Disorder Center, Seoul National University Hospital, Seoul, South Korea
| | - Hongyoon Choi
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Han-Joon Kim
- Department of Neurology and Movement Disorder Center, Seoul National University Hospital, Seoul, South Korea
| | - Gi Jeong Cheon
- Department of Nuclear Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Beomseok Jeon
- Department of Neurology and Movement Disorder Center, Seoul National University Hospital, Seoul, South Korea
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Nigrostriatal Degeneration in the Cognitive Part of the Striatum in Parkinson Disease Is Associated With Frontomedial Hypometabolism. Clin Nucl Med 2020; 45:95-99. [PMID: 31876812 DOI: 10.1097/rlu.0000000000002869] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
PURPOSE The present study investigated possible associations between cortical dysfunction/degeneration as measured by F-FDG PET and nigrostriatal degeneration according to the specific I-FP-CIT binding ratio (SBR) in striatal subregions defined by striato-cortical anatomical connectivity in Parkinson disease (PD) patients. MATERIALS AND METHODS The study included 41 patients (61.4 ± 12.8 years) with PD-typical reduction of striatal FP-CIT SBR and no sign of atypical parkinsonian syndrome on FDG PET. FP-CIT SBR was determined separately in the cognitive (composite of executive and limbic) and sensorimotor part of the striatum according to the Oxford-GSK-Imanova Striatal Connectivity Atlas. Scaled FDG uptake was tested voxelwise for correlation with FP-CIT SBR (familywise error corrected P < 0.05). RESULTS A large cluster (17.6 mL) of significant correlation of scaled FDG uptake with FP-CIT SBR in the cognitive part of the striatum, corrected for SBR in the sensorimotor part, was detected in the bilateral medial frontal cortex and the anterior cingulate cortex (partial correlation coefficient R = 0.767); small clusters were detected in ipsilateral caudate and ipsilateral thalamus. There was a small contralateral occipital cluster (3.0 mL) of significant correlation between FDG uptake and sensorimotor SBR corrected for cognitive SBR (R = 0.709). CONCLUSIONS The correlation between nigrostriatal degeneration in the cognitive striatum and reduced cerebral glucose metabolism in the medial parts of the frontal cortex including the anterior cingulate suggests that nigrostriatal degeneration is specifically involved in the pathogenesis of cognitive deficits associated with medial frontal dysfunction such as impaired inhibitory control.
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Sampedro F, Marín-Lahoz J, Martínez-Horta S, Pagonabarraga J, Kulisevsky J. Dopaminergic degeneration induces early posterior cortical thinning in Parkinson's disease. Neurobiol Dis 2019; 124:29-35. [DOI: 10.1016/j.nbd.2018.11.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 10/10/2018] [Accepted: 11/03/2018] [Indexed: 01/27/2023] Open
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Tang J, Yang B, Adams MP, Shenkov NN, Klyuzhin IS, Fotouhi S, Davoodi-Bojd E, Lu L, Soltanian-Zadeh H, Sossi V, Rahmim A. Artificial Neural Network–Based Prediction of Outcome in Parkinson’s Disease Patients Using DaTscan SPECT Imaging Features. Mol Imaging Biol 2019; 21:1165-1173. [DOI: 10.1007/s11307-019-01334-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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Reduced gray matter volume in cognitively preserved COMT 158Val/Val Parkinson’s disease patients and its association with cognitive decline. Brain Imaging Behav 2019; 14:321-328. [DOI: 10.1007/s11682-018-0022-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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16
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Hong CM, Ryu HS, Ahn BC. Early perfusion and dopamine transporter imaging using 18F-FP-CIT PET/CT in patients with parkinsonism. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2018; 8:360-372. [PMID: 30697456 PMCID: PMC6334208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 12/03/2018] [Indexed: 06/09/2023]
Abstract
Combined use of 18F-N-(3-fluoropropyl)-2β-carboxymethoxy-3β-(4-iodophenyl)nortropane (FP-CIT) for dopamine transporter imaging and 18F-fludeoxyglucose (FDG) for glucose metabolism shows good diagnostic performance for differential diagnosis of Parkinson disease (PD) and Parkinson plus syndrome (multiple system atrophy, progressive supranuclear palsy, corticobasal degeneration, and dementia with Lewy bodies). A recent study showed that 18F-FP-CIT positron emission tomography (PET) with early perfusion imaging is useful for the differential diagnosis of PD and Parkinson plus syndrome with lower radiation exposure, time, and cost. In this review, we summarize the advantages of using 18F-FP-CIT PET for perfusion and dopamine transporter imaging, as well as clinical features useful for the differential diagnosis of PD and Parkinson plus syndrome.
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Affiliation(s)
- Chae-Moon Hong
- Department of Nuclear Medicine, Kyungpook National University HospitalDaegu, Republic of Korea
- Department of Nuclear Medicine, School of Medicine, Kyungpook National UniversityDaegu, Republic of Korea
| | - Ho-Sung Ryu
- Department of Neurology, Kyungpook National University HospitalDaegu, Republic of Korea
- Department of Neurology, School of Medicine, Kyungpook National UniversityDaegu, Republic of Korea
| | - Byeong-Cheol Ahn
- Department of Nuclear Medicine, Kyungpook National University HospitalDaegu, Republic of Korea
- Department of Nuclear Medicine, School of Medicine, Kyungpook National UniversityDaegu, Republic of Korea
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Abstract
Even before the success of combined positron emission tomography and computed tomography (PET/CT), the neuroimaging community was conceiving the idea to integrate the positron emission tomography (PET), with very high molecular quantitative data but low spatial resolution, and magnetic resonance imaging (MRI), with high spatial resolution. Several technical limitations have delayed the use of a hybrid scanner in neuroimaging studies, including the full integration of the PET detector ring within the MRI system, the optimization of data acquisition, and the implementation of reliable methods for PET attenuation, motion correction, and joint image reconstruction. To be valid and useful in clinical and research settings, this instrument should be able to simultaneously acquire PET and MRI, and generate quantitative parametric PET images comparable to PET-CT. While post hoc co-registration of combined PET and MRI data acquired separately became the most reliable technique for the generation of "fused" PET-MRI images, only hybrid PET-MRI approach allows merging these measurements naturally and correlating them in a temporal manner. Furthermore, hybrid PET-MRI represents the most accurate tool to investigate in vivo the interplay between molecular and functional aspects of brain pathophysiology. Hybrid PET-MRI technology is still in the early stages in the movement disorders field, due to the limited availability of scanners with integrated optimized methodological models. This technology is ideally suited to investigate interactions between resting-state functional/arterial spin labeling MRI and [18F]FDG PET glucose metabolism in the evaluation of the brain "hubs" particularly vulnerable to neurodegeneration, areas with a high degree of connectivity and associated with an efficient synaptic neurotransmission. In Parkinson's disease, hybrid PET-MRI is also the ideal instrument to deeper explore the relationship between resting-state functional MRI and dopamine release at [11C]raclopride PET challenge, in the identification of early drug-naïve Parkinson's disease patients at higher risk of motor complications and in the evaluation of the efficacy of novel neuroprotective treatment able to restore at the same time the altered resting state and the release of dopamine. In this chapter, we discuss the key methodological aspects of hybrid PET-MRI; the evidence in movement disorders of the key resting-state functional and perfusion MRI; [18F]FDG PET and [11C]raclopride PET challenge studies; the potential advantages of using hybrid PET-MRI to investigate the pathophysiology of movement disorders and neurodegenerative diseases. Future directions of hybrid PET-MRI will be discussed alongside with up-to-date technological innovations on hybrid systems.
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Abstract
Recent advances in disease understanding, instrumentation technology, and computationally demanding image analysis approaches are opening new frontiers in the investigation of movement disorders and brain disease in general. A key aspect is the recognition of the need to determine molecular correlates to early functional and metabolic connectivity alterations, which are increasingly recognized as useful signatures of specific clinical disease phenotypes. Such multi-modal approaches are highly likely to provide new information on pathogenic mechanisms and to help the identification of novel therapeutic targets. This chapter describes recent methodological developments in PET starting with a very brief overview of radiotracers relevant to movement disorders while emphasizing the development of instrumentation, algorithms and imaging analysis methods relevant to multi-modal investigation of movement disorders.
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Affiliation(s)
- Vesna Sossi
- Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada.
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Lee I, Kim JS, Park JY, Byun BH, Park SY, Choi JH, Moon H, Kim JY, Lee KC, Chi DY, Kim KM, Lim I, Kang JH, Ahn SH, Kim BI, Ha JH, Lim SM. Head-to-head comparison of 18 F-FP-CIT and 123 I-FP-CIT for dopamine transporter imaging in patients with Parkinson's disease: A preliminary study. Synapse 2018; 72:e22032. [PMID: 29486515 DOI: 10.1002/syn.22032] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Revised: 01/30/2018] [Accepted: 02/23/2018] [Indexed: 11/09/2022]
Abstract
123 I-FP-CIT and 18 F-FP-CIT are radiotracers which are widely used to diagnose Parkinson's disease (PD). However, to our knowledge, no studies to date have made head-to-head comparisons between 123 I-FP-CIT and 18 F-FP-CIT. Therefore, in this study, 123 I-FP-CIT SPECT/CT was compared with 18 F-FP-CIT PET/CT in the same cohort of subjects. Patients with PD and essential tremor (ET) underwent 123 I-FP-CIT SPECT/CT and 18 F-FP-CIT PET/CT. Visual and semiquantitative analyses were conducted. The specific binding ratio (SBR) and putamen to caudate ratio (PCR) were compared between subjects who underwent 123 I-FP-CIT SPECT/CT and 18 F-FP-CIT PET/CT. Visual analysis showed that the striatal uptake of both radiotracers was decreased in the PD group, whereas striatal uptake was intact in the ET group. The SBR between 123 I-FP-CIT SPECT/CT and 18 F-FP-CIT PET/CT showed a positive correlation (r = .78, p < .01). However, the mean SBRs on 18 F-FP-CIT PET/CT were higher than those on 123 I-FP-CIT SPECT/CT (2.19 ± .87 and 1.22 ± .49, respectively; p < .01). The PCRs in these two modalities were correlated with each other (r = .71, p < .01). The mean PCRs on 18 F-FP-CIT PET/CT were not significantly higher than those on 123 I-FP-CIT SPECT/CT (1.31 ± .19 and 0.98 ± .06, respectively; p = .06). These preliminary results indicate that the uptake of both 123 I-FP-CIT and 18 F-FP-CIT was decreased in the PD group when compared with the ET controls. Visual analyses using both methods did not affect the diagnostic accuracy in this study. However, semiquantitative analysis indicated a better contrast of 18 F-FP-CIT PET/CT relative to 123 I-FP-CIT SPECT/CT.
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Affiliation(s)
- Inki Lee
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Jin Su Kim
- Division of RI convergence research, Research Institute of Radiological and Medical Sciences, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Joon Yeun Park
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Byung Hyun Byun
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Su Yeon Park
- Department of Neurology, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Joon Ho Choi
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Hansol Moon
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Jung Young Kim
- Division of RI convergence research, Research Institute of Radiological and Medical Sciences, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Kyo Chul Lee
- Division of RI convergence research, Research Institute of Radiological and Medical Sciences, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Dae Yoon Chi
- Department of Chemistry, Sogang University, Seoul, Korea
| | - Kyeong Min Kim
- Division of RI convergence research, Research Institute of Radiological and Medical Sciences, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Ilhan Lim
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Joo Hyun Kang
- Division of RI convergence research, Research Institute of Radiological and Medical Sciences, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Soon Hyuk Ahn
- Radiopharmaceutical Production Center, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Byung Il Kim
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Jeong Ho Ha
- Department of Neurology, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
| | - Sang Moo Lim
- Department of Nuclear Medicine, Korea Cancer Center Hospital, Korea Institutes of Radiological and Medical Sciences, Seoul, Korea
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Correlations between dopamine transporter density measured by 123I-FP-CIT SPECT and regional gray matter volume in Parkinson’s disease. Jpn J Radiol 2017; 35:755-759. [DOI: 10.1007/s11604-017-0694-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2017] [Accepted: 10/12/2017] [Indexed: 12/21/2022]
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Zhang T, Zhang Q, Wang C, Chen A. The developmental relationship between central dopaminergic level and response inhibition from late childhood to young adulthood. Int J Psychophysiol 2017; 116:53-59. [PMID: 28219681 DOI: 10.1016/j.ijpsycho.2017.02.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Revised: 02/13/2017] [Accepted: 02/15/2017] [Indexed: 11/16/2022]
Abstract
Dopamine (DA) is known to modulate response inhibition (RI). In contrast to the abundant adult studies, only few developmental studies have focused on this topic. Moreover, the mechanism underlying the modulation of RI by the DA system from childhood to adulthood remains unclear. We aimed to assess whether the relationship between DA and RI during late childhood and young adulthood is similar. Accordingly, DA function was measured using the spontaneous eye blink rate (EBR), whereas RI ability was tested using the Go/Nogo task. Experiment 1 included 149 adults (age range, 18-25years) who completed the EBR test and the Go/Nogo task; the results showed that higher EBR was associated with lower commission error in the Nogo trials. Experiment 2 included 45 children (age range, 10-12years) and 37 adults (age range, 18-19years) who completed the EBR test and Go/Nogo tasks (similar to experiment 1); in both the child and adult groups, higher EBR was related to better RI ability. As EBR is closely related to central DA function, these findings suggest that DA plays a similar role in the processing of RI in late childhood and young adulthood.
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Affiliation(s)
- Ting Zhang
- School of Psychology, Southwest University, Chongqing, China.
| | - Qin Zhang
- School of Political Science and Public Administration, University of Electronic Science and Technology of China, China
| | - Cuicui Wang
- State Key Lab of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Antao Chen
- School of Psychology, Southwest University, Chongqing, China.
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22
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Bailey DL, Pichler BJ, Gückel B, Barthel H, Beer AJ, Botnar R, Gillies R, Goh V, Gotthardt M, Hicks RJ, Lanzenberger R, la Fougere C, Lentschig M, Nekolla SG, Niederdraenk T, Nikolaou K, Nuyts J, Olego D, Riklund KÅ, Signore A, Schäfers M, Sossi V, Suminski M, Veit-Haibach P, Umutlu L, Wissmeyer M, Beyer T. Combined PET/MRI: from Status Quo to Status Go. Summary Report of the Fifth International Workshop on PET/MR Imaging; February 15-19, 2016; Tübingen, Germany. Mol Imaging Biol 2016; 18:637-50. [PMID: 27534971 PMCID: PMC5010606 DOI: 10.1007/s11307-016-0993-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
This article provides a collaborative perspective of the discussions and conclusions from the fifth international workshop of combined positron emission tomorgraphy (PET)/magnetic resonance imaging (MRI) that was held in Tübingen, Germany, from February 15 to 19, 2016. Specifically, we summarise the second part of the workshop made up of invited presentations from active researchers in the field of PET/MRI and associated fields augmented by round table discussions and dialogue boards with specific topics. This year, this included practical advice as to possible approaches to moving PET/MRI into clinical routine, the use of PET/MRI in brain receptor imaging, in assessing cardiovascular diseases, cancer, infection, and inflammatory diseases. To address perceived challenges still remaining to innovatively integrate PET and MRI system technologies, a dedicated round table session brought together key representatives from industry and academia who were engaged with either the conceptualisation or early adoption of hybrid PET/MRI systems. Discussions during the workshop highlighted that emerging unique applications of PET/MRI such as the ability to provide multi-parametric quantitative and visual information which will enable not only overall disease detection but also disease characterisation would eventually be regarded as compelling arguments for the adoption of PET/MR. However, as indicated by previous workshops, evidence in favour of this observation is only growing slowly, mainly due to the ongoing inability to pool data cohorts from independent trials as well as different systems and sites. The participants emphasised that moving from status quo to status go entails the need to adopt standardised imaging procedures and the readiness to act together prospectively across multiple PET/MRI sites and vendors.
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Affiliation(s)
- D L Bailey
- Department of Nuclear Medicine, Royal North Shore Hospital, and Faculty of Health Sciences, University of Sydney, Sydney, Australia
| | - B J Pichler
- Werner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, Eberhard-Karls-Universität, Tübingen, Germany
| | - B Gückel
- Department of Interventional and Diagnostic Radiology, Eberhard-Karls-Universität, Tübingen, Germany
| | - H Barthel
- Department of Nuclear Medicine, University Clinic, Leipzig, Germany
| | - A J Beer
- Department of Nuclear Medicine, Ulm University, Ulm, Germany
| | - R Botnar
- Division of Imaging Sciences and Biomedical Engineering, King's College London, London, UK
| | | | - V Goh
- Division of Imaging Sciences and Biomedical Engineering, Department of Cancer Imaging, King's College London, London, UK
| | - M Gotthardt
- Department of Nuclear Medicine, Radboud University, Nijmegen, The Netherlands
| | - R J Hicks
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - R Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
| | - C la Fougere
- Division of Nuclear Medicine and clinical Molecular Imaging, Department of Radiology, University of Tübingen, Tübingen, Germany
| | - M Lentschig
- ZEMODI, Zentrum für Moderne Diagnostik, Bremen, Germany
| | - S G Nekolla
- Department of Nuclear Medicine, Technical University Munich, Munich, Germany
| | - T Niederdraenk
- Strategy and Innovation Technology Center, Siemens Healthcare GmbH, Erlangen, Germany
| | - K Nikolaou
- Department of Interventional and Diagnostic Radiology, Eberhard-Karls-Universität, Tübingen, Germany
| | - J Nuyts
- Department of Imaging and Pathology, Nuclear Medicine and Molecular Imaging, KU Leuven - University of Leuven, Leuven, Belgium
| | - D Olego
- Philips, 3000 Minuteman Road, Andover, MA, 01810, USA
| | - K Åhlström Riklund
- Department of Diagnostic Radiology, Radiation Sciences, Umeå University/Norrlands University Hospital, Umeå, Sweden
| | - A Signore
- Nuclear Medicine Unit, Departments of Medical-Surgical Sciences and Translational Medicine, "Sapienza" University of Rome, Rome, Italy
| | - M Schäfers
- Department of Nuclear Medicine, University Hospital Münster and European Institute for Molecular Imaging, University of Münster, Münster, Germany
| | - V Sossi
- Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada
| | | | - P Veit-Haibach
- Department of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland
| | - L Umutlu
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - M Wissmeyer
- Department of Nuclear Medicine, University Hospital of Geneva, Geneva, Switzerland
| | - T Beyer
- Center for Medical Physics and Biomedical Engineering, General Hospital Vienna, Medical University Vienna, 4L, Waehringer Guertel 18-20, 1090, Vienna, Austria.
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