51
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Hao L, Sheng Z, Ruijun W, Kun HZ, Peng Z, Yu H. Altered Granger causality connectivity within motor-related regions of patients with Parkinson's disease: a resting-state fMRI study. Neuroradiology 2019; 62:63-69. [PMID: 31773188 DOI: 10.1007/s00234-019-02311-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 10/16/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE Although numerous clinical neuroimaging studies have demonstrated that there are functional abnormalities of motor-related regions in patients with Parkinson's disease (PD) by resting-state functional magnetic resonance imaging (fMRI), little studies have explored the causal interactions within these motor-related regions. The present study aimed to examine Granger causality connectivity patterns within motor-related regions in PD patients. METHODS Resting-state fMRI was conducted to investigate the causal connectivity differences within motor-related regions between 17 PD patients and 17 matched healthy controls. Subsequently, the relationship between the Unified Parkinson's Disease Rating Scale scores and causal connectivity values within motor-related regions was examined in PD patients. RESULTS An increased causal connectivity from the left premotor cortex (PMC) to right primary motor cortex (M1) was found in PD patients compared with that of healthy controls. Also, increased causal flow from the PMC to M1 was negatively correlated with motor scores. CONCLUSION PD patients have abnormal causal connectivity in specific motor-related regions, which may reflect a compensatory role of motor deficits in PD patients.
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Affiliation(s)
- Li Hao
- Department of Imaging Center, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, Inner Mongolia, China
| | - Zhao Sheng
- Department of Imaging Center, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, Inner Mongolia, China
| | - Wang Ruijun
- Department of Imaging Center, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, Inner Mongolia, China
| | - He Zhi Kun
- CT Room, People's Hospital of Wu La Te Qian Qi, Bayan Nuo'er, 014400, Inner Mongolia, China
| | - Zhang Peng
- Department of Imaging Center, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, Inner Mongolia, China
| | - Hong Yu
- Department of Imaging Center, The First Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010050, Inner Mongolia, China.
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52
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Dan X, Liu J, Doyon J, Zhou Y, Ma J, Chan P. Impaired Fine Motor Function of the Asymptomatic Hand in Unilateral Parkinson's Disease. Front Aging Neurosci 2019; 11:266. [PMID: 31636557 PMCID: PMC6787142 DOI: 10.3389/fnagi.2019.00266] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 09/13/2019] [Indexed: 01/05/2023] Open
Abstract
The early detection of Parkinson's disease (PD) still remains a challenge to date. Although studies have previously reported subtle motor function abnormalities in early PD patients, it is unclear whether such clinical signs can be better detected while patients are concurrently performing a cognitive task, and whether they can be useful in predicting patients' clinical conversion state. Seventy-two right-handed participants (40 drug-naive patients with idiopathic unilateral PD and 32 age-matched healthy controls) were enrolled in this study. All participants were asked to perform the Purdue Pegboard test (PPT) either alone (single-task condition) or during a concurrent mental subtraction-by-3 task (dual-task condition). A 4-year telephone follow-up was later conducted to determine whether PD patients converted to bilateral signs. We found that PD patients showed a significant reduction in dexterity on the PPT compared to the controls in both single- and dual-task conditions. Yet patients' performance in the dual-task condition revealed a greater interference effect when patients performed the task with their right hand than with their left hand. PPT also revealed reasonable discriminative ability for prediagnosing PD. However, dual-tasking did not have added value in differentiating early patients and controls. At follow-up, the baseline PPT performance of the asymptomatic hands was positively correlated with time to convert from unilaterally to bilaterally affected states (r = 0.62, P = 0.031). Together, these findings suggest that PPT can serve as a useful auxiliary tool in evaluating early PD, and shed light on the neuroplasticity mechanism of fine motor deficit at this very early stage.
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Affiliation(s)
- Xiaojuan Dan
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Jia Liu
- Department of Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Julien Doyon
- McConnell Brain Imaging Center, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Yongtao Zhou
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Jinghong Ma
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China
| | - Piu Chan
- Department of Neurology and Neurobiology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Key Laboratory on Parkinson's Disease of Beijing, Beijing, China.,Department of Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,Beijing Institute for Brain Disorders Parkinson's Disease Center, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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53
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Sossi V, Cheng JC, Klyuzhin IS. Imaging in Neurodegeneration: Movement Disorders. IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2019. [DOI: 10.1109/trpms.2018.2871760] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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54
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Pelizzari L, Laganà MM, Rossetto F, Bergsland N, Galli M, Baselli G, Clerici M, Nemni R, Baglio F. Cerebral blood flow and cerebrovascular reactivity correlate with severity of motor symptoms in Parkinson's disease. Ther Adv Neurol Disord 2019; 12:1756286419838354. [PMID: 30923574 PMCID: PMC6431769 DOI: 10.1177/1756286419838354] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Accepted: 02/02/2019] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is a progressive neurodegenerative disorder that is mainly characterized by movement dysfunction. Neurovascular unit (NVU) disruption has been proposed to be involved in the disease, but its role in PD neurodegenerative mechanisms is still unclear. The aim of this study was to investigate cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) within the regions belonging to the motor network, in patients with mild to moderate stages of PD. METHODS Twenty-eight PD patients (66.6 ± 8.6 years, 22 males, median [interquartile range, IQR] Hoehn & Yahr = 1.5 [1-1.9]) and 32 age- and sex-matched healthy controls (HCs) were scanned with arterial spin labeling (ASL) magnetic resonance imaging (MRI) for CBF assessment. ASL MRI was also acquired in hypercapnic conditions to induce vasodilation and subsequently allow for CVR measurement in a subgroup of 13 PD patients and 13 HCs. Median CBF and CVR were extracted from cortical and subcortical regions belonging to the motor network and compared between PD patients and HCs. In addition, the correlation between these parameters and the severity of PD motor symptoms [quantified with Unified Parkinson's Disease Rating Scale part III (UPDRS III)] was assessed. The false discovery rate (FDR) method was used to correct for multiple comparisons. RESULTS No significant differences in terms of CBF and CVR were found between PD patients and HCs. Positive significant correlations were observed between CBF and UPDRS III within the precentral gyrus, postcentral gyrus, supplementary motor area, striatum, pallidum, thalamus, red nucleus, and substantia nigra (pFDR < 0.05). Conversely, significant negative correlation between CVR and UPDRS III was found in the corpus striatum (pFDR < 0.05). CONCLUSION CBF and CVR assessment provides information about NVU integrity in an indirect and noninvasive way. Our findings support the hypothesis of NVU involvement at the mild to moderate stages of PD, suggesting that CBF and CVR within the motor network might be used as either diagnostic or prognostic markers for PD.
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Affiliation(s)
| | | | | | - Niels Bergsland
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Mirco Galli
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Mario Clerici
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
- Department of Physiopathology and Transplants, University of Milano, Milan, Italy
| | - Raffaello Nemni
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
- Department of Physiopathology and Transplants, University of Milano, Milan, Italy
| | - Francesca Baglio
- IRCCS, Fondazione Don Carlo Gnocchi, CADiTeR, Via Alfonso Capecelatro 66, Milan, Italy
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55
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Cai X, Qiao J, Knox T, Iriah S, Kulkarni P, Madularu D, Morrison T, Waszczak B, Hartner JC, Ferris CF. In search of early neuroradiological biomarkers for Parkinson’s Disease: Alterations in resting state functional connectivity and gray matter microarchitecture in PINK1 −/− rats. Brain Res 2019; 1706:58-67. [DOI: 10.1016/j.brainres.2018.10.033] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 10/29/2018] [Accepted: 10/30/2018] [Indexed: 12/12/2022]
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56
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Jacob Y, Rosenberg-Katz K, Gurevich T, Helmich RC, Bloem BR, Orr-Urtreger A, Giladi N, Mirelman A, Hendler T, Thaler A. Network abnormalities among non-manifesting Parkinson disease related LRRK2 mutation carriers. Hum Brain Mapp 2019; 40:2546-2555. [PMID: 30793410 DOI: 10.1002/hbm.24543] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Revised: 01/13/2019] [Accepted: 01/29/2019] [Indexed: 12/25/2022] Open
Abstract
Non-manifesting carriers (NMC) of the G2019S mutation in the LRRK2 gene represent an "at risk" group for future development of Parkinson's disease (PD) and have demonstrated task related fMRI changes. However, resting-state networks have received less research focus, thus this study aimed to assess the integrity of the motor, default mode (DMN), salience (SAL), and dorsal attention (DAN) networks among this unique population by using two different connectivity measures: interregional functional connectivity analysis and Dependency network analysis (DEP NA). Machine learning classification methods were used to distinguish connectivity between the two groups of participants. Forty-four NMC and 41 non-manifesting non-carriers (NMNC) participated in this study; while no behavioral differences on standard questionnaires could be detected, NMC demonstrated lower connectivity measures in the DMN, SAL, and DAN compared to NMNC but not in the motor network. Significant correlations between NMC connectivity measures in the SAL and attention were identified. Machine learning classification separated NMC from NMNC with an accuracy rate above 0.8. Reduced integrity of non-motor networks was detected among NMC of the G2019S mutation in the LRRK2 gene prior to identifiable changes in connectivity of the motor network, indicating significant non-motor cerebral changes among populations "at risk" for future development of PD.
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Affiliation(s)
- Yael Jacob
- Translational and Molecular Imaging Institute, Icahn School of Medicine, Mount Sinai Medical Center, New York, New York.,Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.,Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel
| | | | - Tanya Gurevich
- Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Rick C Helmich
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.,Department of Neurology and Parkinson Centre, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Bastiaan R Bloem
- Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, The Netherlands.,Department of Neurology and Parkinson Centre, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Avi Orr-Urtreger
- Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Tel-Aviv Medical Center, Genetic Institute, Tel-Aviv, Israel
| | - Nir Giladi
- Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Anat Mirelman
- Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.,Laboratory of Early Markers of Neurodegeneration, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Talma Hendler
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel.,Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel
| | - Avner Thaler
- Sagol Brain Institute Tel-Aviv Medical Center, Tel-Aviv, Israel.,Movement Disorders Unit, Neurological Institute, Tel-Aviv Medical Center, Tel-Aviv, Israel.,Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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57
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Filippi M, Sarasso E, Agosta F. Resting-state Functional MRI in Parkinsonian Syndromes. Mov Disord Clin Pract 2019; 6:104-117. [PMID: 30838308 DOI: 10.1002/mdc3.12730] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 12/28/2018] [Accepted: 01/16/2019] [Indexed: 01/18/2023] Open
Abstract
Background Functional MRI (fMRI) has been widely used to study abnormal patterns of functional connectivity at rest in patients with movement disorders such as idiopathic Parkinson's disease (PD) and atypical parkinsonisms. Methods This manuscript provides an educational review of the current use of resting-state fMRI in the field of parkinsonian syndromes. Results Resting-state fMRI studies have improved the current knowledge about the mechanisms underlying motor and non-motor symptom development and progression in movement disorders. Even if its inclusion in clinical practice is still far away, resting-state fMRI has the potential to be a promising biomarker for early disease detection and prediction. It may also aid in differential diagnosis and monitoring brain responses to therapeutic agents and neurorehabilitation strategies in different movement disorders. Conclusions There is urgent need to identify and validate prodromal biomarkers in PD patients, to perform further studies assessing both overlapping and disease-specific fMRI abnormalities among parkinsonian syndromes, and to continue technical advances to fully realize the potential of fMRI as a tool to monitor the efficacy of chronic therapies.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
| | - Elisabetta Sarasso
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy.,Laboratory of Movement Analysis San Raffaele Scientific Institute Milan Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute Vita-Salute San Raffaele University Milan Italy
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58
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Filippi M, Elisabetta S, Piramide N, Agosta F. Functional MRI in Idiopathic Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2018; 141:439-467. [PMID: 30314606 DOI: 10.1016/bs.irn.2018.08.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Functional MRI (fMRI) has been widely used to study abnormal patterns of brain connectivity at rest and activation during a variety of tasks in patients with idiopathic Parkinson's disease (PD). fMRI studies in PD have led to a better understanding of many aspects of the disease including both motor and non-motor symptoms. Although its translation into clinical practice is still at an early stage, fMRI measures hold promise for multiple clinical applications in PD, including the early detection, predicting future change in clinical status, and as a marker of alterations in brain physiology related to neurotherapeutic agents and neurorehabilitative strategies.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy; Department of Neurology, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
| | - Sarasso Elisabetta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy; Laboratory of Movement Analysis, San Raffaele Scientific Institute, Milan, Italy
| | - Noemi Piramide
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy
| | - Federica Agosta
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, Vita-Salute San Raffaele University, Milan, Italy
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59
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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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60
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Zhong M, Yang W, Huang B, Jiang W, Zhang X, Liu X, Wang L, Wang J, Zhao L, Zhang Y, Liu Y, Lin J, Huang R. Effects of levodopa therapy on voxel-based degree centrality in Parkinson’s disease. Brain Imaging Behav 2018; 13:1202-1219. [DOI: 10.1007/s11682-018-9936-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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