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Ryman SG, Vakhtin AA, Mayer AR, van der Horn HJ, Shaff NA, Nitschke SR, Julio KR, Tarawneh RM, Rosenberg GA, Diaz SV, Pirio Richardson SE, Lin HC. Abnormal Cerebrovascular Activity, Perfusion, and Glymphatic Clearance in Lewy Body Diseases. Mov Disord 2024. [PMID: 38817039 DOI: 10.1002/mds.29867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/01/2024] [Accepted: 05/09/2024] [Indexed: 06/01/2024] Open
Abstract
Cerebrovascular activity is not only crucial to optimal cerebral perfusion, but also plays an important role in the glymphatic clearance of interstitial waste, including α-synuclein. This highlights a need to evaluate how cerebrovascular activity is altered in Lewy body diseases. This review begins by discussing how vascular risk factors and cardiovascular autonomic dysfunction may serve as upstream or direct influences on cerebrovascular activity. We then discuss how patients with Lewy body disease exhibit reduced and delayed cerebrovascular activity, hypoperfusion, and reductions in measures used to capture cerebrospinal fluid flow, suggestive of a reduced capacity for glymphatic clearance. Given the lack of an existing framework, we propose a model by which these processes may foster α-synuclein aggregation and neuroinflammation. Importantly, this review highlights several avenues for future research that may lead to treatments early in the disease course, prior to neurodegeneration. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Sephira G Ryman
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Andrei A Vakhtin
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Andrew R Mayer
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Harm Jan van der Horn
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Nicholas A Shaff
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Stephanie R Nitschke
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Kayla R Julio
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Rawan M Tarawneh
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
- Cognitive Neurology Section, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Gary A Rosenberg
- Center for Memory and Aging, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Shanna V Diaz
- Department of Internal Medicine, The University of New Mexico, Albuquerque, New Mexico, USA
| | - Sarah E Pirio Richardson
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, The University of New Mexico, Albuquerque, New Mexico, USA
- New Mexico VA Health Care System, Albuquerque, New Mexico, USA
| | - Henry C Lin
- Department of Internal Medicine, The University of New Mexico, Albuquerque, New Mexico, USA
- New Mexico VA Health Care System, Albuquerque, New Mexico, USA
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Wu C, Wu H, Zhou C, Guan X, Guo T, Wu J, Chen J, Wen J, Qin J, Tan S, Duanmu X, Yuan W, Zheng Q, Zhang B, Xu X, Zhang M. Neurovascular coupling alteration in drug-naïve Parkinson's disease: The underlying molecular mechanisms and levodopa's restoration effects. Neurobiol Dis 2024; 191:106406. [PMID: 38199273 DOI: 10.1016/j.nbd.2024.106406] [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] [Received: 11/12/2023] [Revised: 12/25/2023] [Accepted: 01/06/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Parkinson's disease (PD) patients exhibit an imbalance between neuronal activity and perfusion, referred to as abnormal neurovascular coupling (NVC). Nevertheless, the underlying molecular mechanism and how levodopa, the standard treatment in PD, regulates NVC is largely unknown. MATERIAL AND METHODS A total of 52 drug-naïve PD patients and 49 normal controls (NCs) were enrolled. NVC was characterized in vivo by relating cerebral blood flow (CBF) and amplitude of low-frequency fluctuations (ALFF). Motor assessments and MRI scanning were conducted on drug-naïve patients before and after levodopa therapy (OFF/ON state). Regional NVC differences between patients and NCs were identified, followed by an assessment of the associated receptors/transporters. The influence of levodopa on NVC, CBF, and ALFF within these abnormal regions was analyzed. RESULTS Compared to NCs, OFF-state patients showed NVC dysfunction in significantly lower NVC in left precentral, postcentral, superior parietal cortex, and precuneus, along with higher NVC in left anterior cingulate cortex, right olfactory cortex, thalamus, caudate, and putamen (P-value <0.0006). The distribution of NVC differences correlated with the density of dopaminergic, serotonin, MU-opioid, and cholinergic receptors/transporters. Additionally, levodopa ameliorated abnormal NVC in most of these regions, where there were primarily ALFF changes with limited CBF modifications. CONCLUSION Patients exhibited NVC dysfunction primarily in the striato-thalamo-cortical circuit and motor control regions, which could be driven by dopaminergic and nondopaminergic systems, and levodopa therapy mainly restored abnormal NVC by modulating neuronal activity.
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Affiliation(s)
- Chenqing Wu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Haoting Wu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Cheng Zhou
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Guan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Tao Guo
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Wu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingwen Chen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiaqi Wen
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianmei Qin
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Sijia Tan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojie Duanmu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weijin Yuan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qianshi Zheng
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Baorong Zhang
- Department of Neurology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojun Xu
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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Wang J, Li H, Jia J, Shao X, Li Y, Zhou Y, Wang H, Jin L. Progressive Cerebrovascular Reactivity Reduction Occurs in Parkinson's Disease: A Longitudinal Study. Mov Disord 2024; 39:94-104. [PMID: 38013597 DOI: 10.1002/mds.29671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 10/15/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND The change of microvascular function over the course of Parkinson's disease (PD) remains unclear. OBJECTIVE We aimed to ascertain regional cerebrovascular reactivity (CVR) changes in the patients with PD at baseline (V0) and during a 2-year follow-up period (V1). We further investigated whether alterations in CVR were linked to cognitive decline and brain functional connectivity (FC). METHODS We recruited 90 PD patients and 51 matched healthy controls (HCs). PD patients underwent clinical evaluations, neuropsychological assessments, and magnetic resonance (MR) scanning at V0 and V1, whereas HCs completed neuropsychological assessments and MR at baseline. The analysis included evaluating CVR and FC maps derived from resting-state functional magnetic resonance imaging and investigating CVR measurement reproducibility. RESULTS Compared with HCs, CVR reduction in left inferior occipital gyrus and right superior temporal cortex at V0 persisted at V1, with larger clusters. Longitudinal reduction in CVR of the left posterior cingulate cortex correlated with decline in Trail Making Test B performance within PD patients. Reproducibility validation further confirmed these findings. In addition, the results also showed that there was a tendency for FC to be weakened from posterior to anterior with the progression of the disease. CONCLUSIONS Microvascular dysfunction might be involved in disease progression, subsequently weaken brain FC, and partly contribute to executive function deficits in early PD. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jian Wang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Radiology, Zhongshan Hospital, Fudan University (Xiamen Branch), China
| | - Hongwei Li
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Jia Jia
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Neurology, Shanghai Xuhui Central Hospital, Shanghai, China
| | - Xiali Shao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yuanfang Li
- Department of Neurology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, China
| | - Ying Zhou
- Department of Neurology, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, China
| | - He Wang
- Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
- Human Phenome Institute, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Lirong Jin
- Department of Neurology, Zhongshan Hospital, Fudan University, Shanghai, China
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Ryman SG, Shaff N, Dodd A, Nitschke S, Wertz C, Julio K, Suarez Cedeno G, Deligtisch A, Erhardt E, Lin H, Vakhtin A, Poston KL, Tarawneh R, Pirio Richardson S, Mayer A. Reduced and Delayed Cerebrovascular Reactivity in Patients with Parkinson's Disease. Mov Disord 2023; 38:1262-1272. [PMID: 37157056 PMCID: PMC10524339 DOI: 10.1002/mds.29429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 04/17/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND Cerebrovascular dysfunction in Parkinson's disease (PD) is heterogeneous and may contribute to disease pathophysiology or progression. There is a need to understand the mechanisms by which cerebrovascular dysfunction is altered in participants with PD. OBJECTIVES The objective of this study is to test the hypothesis that participants with PD exhibit a significant reduction in the ability of the cerebral vessels to dilate in response to vasoactive challenges relative to healthy controls (HC). METHODS The current study uses a vasodilatory challenge while participants undergo functional magnetic resonance imaging to quantify the amplitude and delay of cerebrovascular reactivity in participants with PD relative to age and sex-matched HC. An analysis of covariance was used to evaluate differences in cerebrovascular reactivity amplitude and latency between PD participants and HC. RESULTS A significant main effect of group was observed for whole-brain cerebrovascular reactivity amplitude (F(1, 28) = 4.38, p = 0.046, Hedge's g = 0.73) and latency (F(1, 28) = 16.35, p < 0.001, Hedge's g = 1.42). Participants with PD exhibited reduced whole-brain amplitude and increased latencies in cerebrovascular reactivity relative to HC. The evaluation of regional effects indicates that the largest effects were observed in the cuneus, precuneus, and parietal regions. CONCLUSIONS PD participants exhibited reduced and delayed cerebrovascular reactivity. This dysfunction may play an important role in chronic hypoxia, neuroinflammation, and protein aggregation, mechanisms that could lead to disease progression. Cerebrovascular reactivity may serve as an important biomarker and target for future interventions. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Sephira G Ryman
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Nicholas Shaff
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Andrew Dodd
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Stephanie Nitschke
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Christopher Wertz
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Kayla Julio
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Gerson Suarez Cedeno
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Amanda Deligtisch
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Erik Erhardt
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, USA
| | - Henry Lin
- Department of Medicine, University of New Mexico, Albuquerque, New Mexico, USA
- Neurology|Medicine, New Mexico VA Health Care System, Albuquerque, New Mexico, USA
| | - Andrei Vakhtin
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
| | - Kathleen L Poston
- Movement Disorders Division in the Department of Neurology and Neurological Sciences, Stanford University, Stanford, California, USA
| | - Rawan Tarawneh
- Memory and Aging Center, Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Sarah Pirio Richardson
- Nene and Jamie Koch Comprehensive Movement Disorder Center, Department of Neurology, University of New Mexico, Albuquerque, New Mexico, USA
- Neurology|Medicine, New Mexico VA Health Care System, Albuquerque, New Mexico, USA
| | - Andrew Mayer
- Department of Translational Neuroscience, The Mind Research Network, Albuquerque, New Mexico, USA
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Barnes SC, Panerai RB, Beishon L, Hanby M, Robinson TG, Haunton VJ. Cerebrovascular responses to somatomotor stimulation in Parkinson's disease: A multivariate analysis. J Cereb Blood Flow Metab 2022; 42:1547-1558. [PMID: 35287495 PMCID: PMC9274867 DOI: 10.1177/0271678x211065204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder, yet little is known about cerebral haemodynamics in this patient population. Previous studies assessing dynamic cerebral autoregulation (dCA), neurovascular coupling (NVC) and vasomotor reactivity (VMR) have yielded conflicting findings. By using multi-variate modelling, we aimed to determine whether cerebral blood flow (CBF) regulation is impaired in PD patients.55 healthy controls (HC) and 49 PD patients were recruited. PD subjects underwent a second recording following a period of abstinence from their anti-Parkinsonian medication. Continuous bilateral transcranial Doppler in the middle cerebral arteries, beat-to-beat mean arterial blood pressure (MAP; Finapres), heart rate (HR; electrocardiogram), and end-tidal CO2 (EtCO2; capnography) were measured. After a 5-min baseline period, a passive motor paradigm comprising 60 s of elbow flexion was performed. Multi-variate modelling quantified the contributions of MAP, ETCO2 and neural stimulation to changes in CBF velocity (CBFV). dCA, VMR and NVC were quantified to assess the integrity of CBF regulation.Neural stimulation was the dominant input. dCA, NVC and VMR were all found to be impaired in the PD population relative to HC (p < 0.01, p = 0.04, p < 0.01, respectively). Our data suggest PD may be associated with depressed CBF regulation. This warrants further assessment using different neural stimuli.
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Affiliation(s)
- Sam C Barnes
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK
| | - Ronney B Panerai
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK.,NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | - Lucy Beishon
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK.,NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | - Martha Hanby
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK
| | - Thompson G Robinson
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK.,NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
| | - Victoria J Haunton
- Department of Cardiovascular Sciences, University of Leicester, Robert Kilpatrick Clinical Sciences Building, Leicester, UK.,NIHR Leicester Biomedical Research Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, UK
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6
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Impaired cerebrovascular reactivity is associated with recurrent stroke in patients with severe intracranial arterial stenosis: A C02 BOLD fMRI study. J Neuroradiol 2021; 48:339-345. [DOI: 10.1016/j.neurad.2020.04.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 04/08/2020] [Accepted: 04/28/2020] [Indexed: 11/20/2022]
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7
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Castillo‐Torres SA, Estrada‐Bellmann I, Góngora‐Rivera F. Cerebral Vasomotor Reactivity in Parkinson's Disease: A Missing Link Between Dysautonomia, White Matter Lesions, and Cognitive Decline? Mov Disord Clin Pract 2020; 7:994-995. [DOI: 10.1002/mdc3.13074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 07/23/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Sergio A. Castillo‐Torres
- Neurology Department University Hospital Jose Eleuterio Gonzalez, Universidad Autonoma de Nuevo Leon Monterrey Mexico
| | - Ingrid Estrada‐Bellmann
- Neurology Department University Hospital Jose Eleuterio Gonzalez, Universidad Autonoma de Nuevo Leon Monterrey Mexico
- Neurology Department, Parkinson and Movement Disorders Clinic University Hospital Jose Eleuterio Gonzalez, Universidad Autonoma de Nuevo Leon Monterrey Mexico
| | - Fernando Góngora‐Rivera
- Neurology Department University Hospital Jose Eleuterio Gonzalez, Universidad Autonoma de Nuevo Leon Monterrey Mexico
- Stroke Unit, University Hospital Jose Eleuterio Gonzalez Universidad Autonoma de Nuevo Leon Monterrey Mexico
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8
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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: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [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)
| | | | | | | | - Mirco Galli
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | | | | | - Francesca Baglio
- IRCCS, Fondazione Don Carlo Gnocchi, CADiTeR, Via Alfonso Capecelatro 66, Milan, Italy
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Ballarini T, Růžička F, Bezdicek O, Růžička E, Roth J, Villringer A, Vymazal J, Mueller K, Schroeter ML, Jech R. Unraveling connectivity changes due to dopaminergic therapy in chronically treated Parkinson's disease patients. Sci Rep 2018; 8:14328. [PMID: 30254336 PMCID: PMC6156510 DOI: 10.1038/s41598-018-31988-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/30/2018] [Indexed: 11/14/2022] Open
Abstract
The effects of dopaminergic therapy for Parkinson’s disease (PD) on the brain functional architecture are still unclear. We investigated this topic in 31 PD patients (disease duration: 11.2 ± (SD) 3.6 years) who underwent clinical and MRI assessments under chronic dopaminergic treatment (duration: 8.3 ± (SD) 4.4 years) and after its withdrawal. Thirty healthy controls were also included. Functional and morphological changes were studied, respectively, with eigenvector centrality mapping and seed-based connectivity, and voxel-based morphometry. Patients off medication, compared to controls, showed increased connectivity in cortical sensorimotor areas extending to the cerebello-thalamo-cortical pathway and parietal and frontal brain structures. Dopaminergic therapy normalized this increased connectivity. Notably, patients showed decreased interconnectedness in the medicated compared to the unmedicated condition, encompassing putamen, precuneus, supplementary motor and sensorimotor areas bilaterally. Similarly, lower connectivity was found comparing medicated patients to controls, overlapping with the within-group comparison in the putamen. Seed-based analyses revealed that dopaminergic therapy reduced connectivity in motor and default mode networks. Lower connectivity in the putamen correlated with longer disease duration, medication dose, and motor symptom improvement. Notably, atrophy and connectivity changes were topographically dissociated. After chronic treatment, dopaminergic therapy decreases connectivity of key motor and default mode network structures that are abnormally elevated in PD off condition.
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Affiliation(s)
- Tommaso Ballarini
- Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Filip Růžička
- Department of Neurology, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic
| | - Evžen Růžička
- Department of Neurology, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic
| | - Jan Roth
- Department of Neurology, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic
| | - Arno Villringer
- Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Clinic, Leipzig, Germany
| | - Josef Vymazal
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Karsten Mueller
- Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Matthias L Schroeter
- Max-Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, University Clinic, Leipzig, Germany.,FTLD Consortium, Ulm, Germany
| | - Robert Jech
- Department of Neurology, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic.
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10
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Metzger A, Le Bars E, Deverdun J, Molino F, Maréchal B, Picot MC, Ayrignac X, Carra C, Bauchet L, Krainik A, Labauge P, Menjot de Champfleur N. Is impaired cerebral vasoreactivity an early marker of cognitive decline in multiple sclerosis patients? Eur Radiol 2017; 28:1204-1214. [PMID: 29026971 DOI: 10.1007/s00330-017-5068-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 08/27/2017] [Accepted: 09/08/2017] [Indexed: 11/25/2022]
Abstract
OBJECTIVE The link between cerebral vasoreactivity and cognitive status in multiple sclerosis remains unclear. The aim of the present study was to investigate a potential decrease of cerebral vasoreactivity in multiple sclerosis patients and correlate it with cognitive status. METHODS Thirty-three patients with multiple sclerosis (nine progressive and 24 remitting forms, median age: 39 years, 12 males) and 22 controls underwent MRI with a hypercapnic challenge to assess cerebral vasoreactivity and a neuropsychological assessment. Cerebral vasoreactivity, measured as the cerebral blood flow percent increase normalised by end-tidal carbon dioxide variation, was assessed globally and by regions of interest using the blood oxygen level-dependent technique. Non-parametric statistics tests were used to assess differences between groups, and associations were estimated using linear models. RESULTS Cerebral vasoreactivity was lower in patients with cognitive impairment than in cognitively normal patients (p=0.004) and was associated with education level in patients (R2 = 0.35; p = 0.047). There was no decrease in cerebral vasoreactivity between patients and controls. CONCLUSIONS Cognitive impairment in multiple sclerosis may be mediated through decreased cerebral vasoreactivity. Cerebral vasoreactivity could therefore be considered as a marker of cognitive decline in multiple sclerosis. KEY POINTS • Cerebral vasoreactivity does not differ between multiple sclerosis patients and controls. • Cerebral vasoreactivity measure is linked to cognitive impairment in multiple sclerosis. • Cerebral vasoreactivity is linked to level of education in multiple sclerosis.
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Affiliation(s)
- Aude Metzger
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France.
- Department of Neurology, Memory Ressource and Research Center, University Hospital Center, Gui de Chauliac Hospital, 80 Avenue Augustin Fliche, 34295, Montpellier Cedex 5, France.
| | - Emmanuelle Le Bars
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
| | - Jeremy Deverdun
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
| | - François Molino
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U661, Université de Montpellier, Montpellier, France
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthcare, HC CEMEA SUI DI, Lausanne, PI, Switzerland
- Department of Radiology, CHUV, Lausanne, Switzerland
- LTS5, EPFL, Lausanne, Switzerland
| | - Marie-Christine Picot
- Département de Biostatistiques, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
| | - Xavier Ayrignac
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Clarisse Carra
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Luc Bauchet
- Département de Neurochirurgie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut de Neurosciences de Montpellier, INSERM U1051, Hôpital Saint Eloi, Montpellier, France
| | | | - Pierre Labauge
- Department of Neurology, University Hospital Center, Gui de Chauliac Hospital, Montpellier, France
| | - Nicolas Menjot de Champfleur
- Département de Neuroradiologie, Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Institut d'Imagerie Fonctionnelle Humaine (I2FH), Hôpital Gui de Chauliac, Centre Hospitalier Régional Universitaire de Montpellier, Montpellier, France
- Laboratoire Charles Coulomb, CNRS UMR 5221, Université de Montpellier, Montpellier, France
- Département d'Imagerie Médicale, Centre Hospitalier Universitaire Caremeau, Nîmes, France
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11
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Is cerebral vasomotor reactivity impaired in Parkinson disease? Clin Auton Res 2017; 27:107-111. [DOI: 10.1007/s10286-017-0406-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 02/06/2017] [Indexed: 10/20/2022]
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12
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Smoliński Ł, Członkowska A. Cerebral vasomotor reactivity in neurodegenerative diseases. Neurol Neurochir Pol 2016; 50:455-462. [PMID: 27553189 DOI: 10.1016/j.pjnns.2016.07.011] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Revised: 07/26/2016] [Accepted: 07/28/2016] [Indexed: 11/26/2022]
Abstract
Small-caliber cerebral vessels change their diameters in response to alterations of key metabolite concentrations such as carbon dioxide or oxygen. This phenomenon, termed the cerebral vasomotor reactivity (CVMR), is the basis for blood flow regulation in the brain in accordance with its metabolic status. Typically, CVMR is determined as the amount of change in cerebral blood flow in response to a vasodilating stimulus, which can be measured by various neuroimaging methods or by transcranial Doppler. It has been shown that CVMR is impaired in cerebrovascular diseases, but there is also evidence of a similar dysfunction in neurodegenerative disorders. Here, we review studies that have investigated CVMR in the common neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease and multiple sclerosis. Moreover, we discuss potential neurodegenerative mechanisms responsible for the impairment of CVMR.
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Affiliation(s)
- Łukasz Smoliński
- Second Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland
| | - Anna Członkowska
- Second Department of Neurology, Institute of Psychiatry and Neurology, Warsaw, Poland; Department of Clinical and Experimental Pharmacology, Medical University of Warsaw, Warsaw, Poland.
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13
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de Celis Alonso B, Hidalgo-Tobón SS, Menéndez-González M, Salas-Pacheco J, Arias-Carrión O. Magnetic Resonance Techniques Applied to the Diagnosis and Treatment of Parkinson's Disease. Front Neurol 2015; 6:146. [PMID: 26191037 PMCID: PMC4490248 DOI: 10.3389/fneur.2015.00146] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 06/18/2015] [Indexed: 12/26/2022] Open
Abstract
Parkinson's disease (PD) affects at least 10 million people worldwide. It is a neurodegenerative disease, which is currently diagnosed by neurological examination. No neuroimaging investigation or blood biomarker is available to aid diagnosis and prognosis. Most effort toward diagnosis using magnetic resonance (MR) has been focused on the use of structural/anatomical neuroimaging and diffusion tensor imaging (DTI). However, deep brain stimulation, a current strategy for treating PD, is guided by MR imaging (MRI). For clinical prognosis, diagnosis, and follow-up investigations, blood oxygen level-dependent MRI, DTI, spectroscopy, and transcranial magnetic stimulation have been used. These techniques represent the state of the art in the last 5 years. Here, we focus on MR techniques for the diagnosis and treatment of Parkinson's disease.
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Affiliation(s)
- Benito de Celis Alonso
- Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla , Puebla , Mexico ; Fundación para el Desarrollo Carlos Sigüenza , Puebla , Mexico
| | - Silvia S Hidalgo-Tobón
- Departamento de Imagenología, Hospital Infantil de México "Federico Gómez" , Mexico City , Mexico ; Departamento de Física, Universidad Autónoma Metropolitana Iztapalapa , Mexico City , Mexico
| | | | - José Salas-Pacheco
- Instituto de Investigación Científica, Universidad Juárez del Estado de Durango , Durango , Mexico
| | - Oscar Arias-Carrión
- Unidad de Trastornos del Movimiento y Sueño (TMS), Hospital General Dr. Manuel Gea González , Mexico City , Mexico
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14
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Boudiaf N, Attyé A, Warnking JM, Troprès I, Lamalle L, Pietras J, Krainik A. BOLD fMRI of cerebrovascular reactivity in the middle cerebral artery territory: A 100 volunteers' study. J Neuroradiol 2015; 42:338-44. [PMID: 26031884 DOI: 10.1016/j.neurad.2015.04.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Revised: 03/26/2015] [Accepted: 04/05/2015] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND PURPOSE The assessment of cerebrovascular reactivity (CVR) has shown promising results for its use in medical diagnosis and prognosis, especially in patients suffering from severe intracranial arterial stenosis. However, its quantification remains uncertain because of a large variability inherent in brain anatomy and in methodological settings. To overcome this variability, we provide lateralization index (LI) values for CVR within the middle cerebral artery territory to detect CVR impairment. MATERIALS AND METHODS We assessed CVR in 100 volunteers (41 females; 47.52 ± 21.58 years) without cervico-encephalic arterial stenosis using BOLD-fMRI contrast with a block-design hypercapnic challenge. Averaged end-tidal CO2 was used as a physiological regressor for statistical analyses with a general linear model. We measured %BOLD signal-change in segmented gray matter regions of interest in the middle cerebral artery territory (MCA). We calculated a laterality index according to the following formula: LI=(CVRleft-CVRright)/(CVRleft+CVRright). We tested the effects of methodological settings (i.e. hypercapnic gas, gas administration means, MR acquisition and sex) on %BOLD signal change and LI values with analysis of variance. RESULTS No adverse effects of the hypercapnic challenge were reported. LI values were independent of experimental conditions. Mean LI calculated in MCA territories was 0.016 ± 0.031, giving the lower and upper limits of 95% (m ± 2SD) of this population distribution at]-0.05; 0.08[. CONCLUSION LI can effectively help us to overcome measurement variabilities. Therefore, it can be used to detect abnormal asymmetries in CVR and identify patients at higher risk of ischemic stroke.
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Affiliation(s)
- Naïla Boudiaf
- Université Grenoble Alpes 3bis, CNRS, LPNC, 38000 Grenoble, France; Université Savoie 3, LPNC, 73000 Chambéry, France.
| | - Arnaud Attyé
- Inserm, université Grenoble Alpes, GIN, CHU de Grenoble, 38000 Grenoble, France; Department of Neuroradiology and MRI, University Hospital of Grenoble-IFR1, Grenoble, France
| | - Jan M Warnking
- Inserm, université Grenoble Alpes, GIN, CHU de Grenoble, 38000 Grenoble, France
| | - Irène Troprès
- Inserm, université Grenoble Alpes, GIN, CHU de Grenoble, 38000 Grenoble, France; Inserm, université Grenoble Alpes, CNRS, IRMaGe, CHU de Grenoble, 38000 Grenoble, France
| | - Laurent Lamalle
- Inserm, université Grenoble Alpes, CNRS, IRMaGe, CHU de Grenoble, 38000 Grenoble, France
| | - Johan Pietras
- Inserm, université Grenoble Alpes, CNRS, IRMaGe, CHU de Grenoble, 38000 Grenoble, France
| | - Alexandre Krainik
- Inserm, université Grenoble Alpes, GIN, CHU de Grenoble, 38000 Grenoble, France; Inserm, université Grenoble Alpes, CNRS, IRMaGe, CHU de Grenoble, 38000 Grenoble, France; Department of Neuroradiology and MRI, University Hospital of Grenoble-IFR1, Grenoble, France
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15
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Krainik A, Villien M, Troprès I, Attyé A, Lamalle L, Bouvier J, Pietras J, Grand S, Le Bas JF, Warnking J. Functional imaging of cerebral perfusion. Diagn Interv Imaging 2013; 94:1259-78. [PMID: 24011870 DOI: 10.1016/j.diii.2013.08.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
The functional imaging of perfusion enables the study of its properties such as the vasoreactivity to circulating gases, the autoregulation and the neurovascular coupling. Downstream from arterial stenosis, this imaging can estimate the vascular reserve and the risk of ischemia in order to adapt the therapeutic strategy. This method reveals the hemodynamic disorders in patients suffering from Alzheimer's disease or with arteriovenous malformations revealed by epilepsy. Functional MRI of the vasoreactivity also helps to better interpret the functional MRI activation in practice and in clinical research.
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Affiliation(s)
- A Krainik
- Clinique universitaire de neuroradiologie et IRM, CHU de Grenoble, CS 10217, 38043 Grenoble cedex, France; Inserm U836, université Joseph-Fourier, site santé, chemin Fortuné-Ferrini, 38706 La Tronche cedex, France; UMS IRMaGe, unité IRM 3T recherche, CHU de Grenoble, CS 10217, 38043 Grenoble cedex 9, France.
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