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Resting State fMRI: A Valuable Tool for Studying Cognitive Dysfunction in PD. PARKINSONS DISEASE 2018; 2018:6278649. [PMID: 29850015 PMCID: PMC5937422 DOI: 10.1155/2018/6278649] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 03/23/2018] [Accepted: 04/04/2018] [Indexed: 11/17/2022]
Abstract
Cognitive impairment is a common disabling symptom in PD. Unlike motor symptoms, the mechanism underlying cognitive dysfunction in Parkinson's disease (PD) remains unclear and may involve multiple pathophysiological processes. Resting state functional magnetic resonance imaging (rs-fMRI) is a fast-developing research field, and its application in cognitive impairments in PD is rapidly growing. In this review, we summarize rs-fMRI studies on cognitive function in PD and discuss the strong potential of rs-fMRI in this area. rs-fMRI can help reveal the pathophysiology of cognitive symptoms in PD, facilitate early identification of PD patients with cognitive impairment, distinguish PD dementia from dementia with Lewy bodies, and monitor and guide treatment for cognitive impairment in PD. In particular, ongoing and future longitudinal studies would enhance the ability of rs-fMRI in predicting PD dementia. In combination with other modalities such as positron emission tomography, rs-fMRI could give us more information on the underlying mechanism of cognitive deficits in PD.
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Bezdicek O, Ballarini T, Růžička F, Roth J, Mueller K, Jech R, Schroeter ML. Mild cognitive impairment disrupts attention network connectivity in Parkinson's disease: A combined multimodal MRI and meta-analytical study. Neuropsychologia 2018; 112:105-115. [PMID: 29540317 DOI: 10.1016/j.neuropsychologia.2018.03.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 02/09/2018] [Accepted: 03/06/2018] [Indexed: 01/28/2023]
Abstract
Mild cognitive impairment (MCI) affects approximately one-third of non-demented Parkinson's Disease (PD) patients. We aimed at investigating the neural correlates of MCI in PD combining multimodal magnetic resonance imaging (MRI) with large-scale data from the literature. We analyzed 31 PD patients and 30 matched controls. The standard neuropsychological assessment of PD-MCI covered memory, attention, executive functions, language and visuospatial abilities. Following validated criteria, 16 patients were classified as showing MCI. Whole-brain functional connectivity and structural volume changes were assessed, respectively, by means of eigenvector centrality (EC) and voxel-based morphometry. To address the involvement of specific functional brain networks, we validated our results by building a meta-analytic co-activation map (MACM) based on the previous literature and then testing its overlap with the parcellation of functional networks derived from 1000 healthy controls. The EC comparison between PD with normal cognition and controls showed a selective decline in interconnectedness in the bilateral lentiform nuclei. Differently, comparing PD with MCI and controls revealed additional changes in non-motor areas. Directly comparing PD with and without MCI, we found a reduced interconnectedness in the bilateral superior parietal lobules and precuneus. No differences in brain volume were detected comparing these patient groups. The MACM and overlap analyses showed that the observed connectivity changes were localized in the hubs of the dorsal attention network. Notably, this aligned with the predominant attention deficit observed in our sample. Overall, functional impairment in the dorsal attention network seems to be the hallmark of MCI due to PD, thus extending previous findings of brain connectivity disruption in non-motor networks.
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Affiliation(s)
- Ondrej Bezdicek
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic.
| | - Tommaso Ballarini
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, Leipzig 04103, Germany
| | - Filip Růžička
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic
| | - Jan Roth
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic
| | - Karsten Mueller
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, Leipzig 04103, Germany
| | - Robert Jech
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Charles University, Czech Republic
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1A, Leipzig 04103, Germany; Clinic for Cognitive Neurology, University Clinic, Liebigstr. 16D, Leipzig 04103 Germany; FTLD Consortium, Ulm, Germany
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103
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Labbé Atenas T, Ciampi Díaz E, Cruz Quiroga JP, Uribe Arancibia S, Cárcamo Rodríguez C. Functional magnetic resonance imaging: basic principles and application in the neurosciences. RADIOLOGIA 2018; 60:368-377. [PMID: 29544987 DOI: 10.1016/j.rx.2017.12.007] [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: 03/14/2017] [Revised: 12/25/2017] [Accepted: 12/26/2017] [Indexed: 11/25/2022]
Abstract
Functional magnetic resonance imaging (fMRI) is an advanced tool for the study of brain functions in healthy subjects and in neuropsychiatric patients. This tool makes it possible to identify and locate specific phenomena related to neuronal metabolism and activity. Starting with the detection of changes in the blood supply to a region that participates in a function, more complex approaches have been developed to study the dynamics of neuronal networks. Studies examining the brain at rest or involved in different tasks have provided evidence related to the onset, development, and/or response to treatment in various diseases. The diversity of the possible artifacts associated with image registration as well as the complexity of the analytical experimental designs has generated abundant debate about the technique behind fMRI. This article aims to introduce readers to the fundamentals underlying fMRI, to explain how fMRI studies are interpreted, and to discuss fMRI's contributions to the study of the mechanisms underlying diverse diseases of the nervous system.
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Affiliation(s)
- T Labbé Atenas
- Centro Interdisciplinario de Neurociencias, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - E Ciampi Díaz
- Departamento de Neurología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - J P Cruz Quiroga
- Departamento de Radiología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - S Uribe Arancibia
- Departamento de Radiología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile; Centro de Imágenes Biomédicas, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - C Cárcamo Rodríguez
- Centro Interdisciplinario de Neurociencias, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile; Departamento de Neurología, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.
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104
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Schumacher J, Peraza LR, Firbank M, Thomas AJ, Kaiser M, Gallagher P, O'Brien JT, Blamire AM, Taylor J. Functional connectivity in dementia with Lewy bodies: A within- and between-network analysis. Hum Brain Mapp 2018; 39:1118-1129. [PMID: 29193464 PMCID: PMC5900719 DOI: 10.1002/hbm.23901] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 10/28/2017] [Accepted: 11/20/2017] [Indexed: 01/07/2023] Open
Abstract
Dementia with Lewy bodies (DLB) is a common form of dementia and is characterized by cognitive fluctuations, visual hallucinations, and Parkinsonism. The phenotypic expression of the disease may, in part, relate to alterations in functional connectivity within and between brain networks. This resting-state study sought to clarify this in DLB, how networks differed from Alzheimer's disease (AD), and whether they were related to clinical symptoms in DLB. Resting-state networks were estimated using independent component analysis. We investigated functional connectivity changes in 31 DLB patients compared to 31 healthy controls and a disease comparator group of 29 AD patients using dual regression and FSLNets. Within-network connectivity was generally decreased in DLB compared to controls, mainly in motor, temporal, and frontal networks. Between-network connectivity was mainly intact; only the connection between a frontal and a temporal network showed increased connectivity in DLB. Differences between AD and DLB were subtle and we did not find any significant correlations with the severity of clinical symptoms in DLB. This study emphasizes the importance of reduced connectivity within motor, frontal, and temporal networks in DLB with relative sparing of the default mode network. The lack of significant correlations between connectivity measures and clinical scores indicates that the observed reduced connectivity within these networks might be related to the presence, but not to the severity of motor and cognitive impairment in DLB patients. Furthermore, our results suggest that AD and DLB may show more similarities than differences in patients with mild disease.
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Affiliation(s)
- Julia Schumacher
- Institute of Neuroscience, Newcastle University, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
| | - Luis R. Peraza
- Institute of Neuroscience, Newcastle University, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
- Interdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing, Newcastle UniversityNewcastle upon TyneNE4 5TGUnited Kingdom
| | - Michael Firbank
- Institute of Neuroscience, Newcastle University, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
| | - Alan J. Thomas
- Institute of Neuroscience, Newcastle University, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
| | - Marcus Kaiser
- Interdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing, Newcastle UniversityNewcastle upon TyneNE4 5TGUnited Kingdom
- Institute of Neuroscience, Newcastle University, The Henry Wellcome BuildingNewcastle upon TyneNE2 4HHUnited Kingdom
| | - Peter Gallagher
- Institute of Neuroscience, Newcastle University, The Henry Wellcome BuildingNewcastle upon TyneNE2 4HHUnited Kingdom
| | - John T. O'Brien
- Department of PsychiatryUniversity of Cambridge School of MedicineCambridgeCB2 0SPUnited Kingdom
| | - Andrew M. Blamire
- Institute of Cellular Medicine & Newcastle Magnetic Resonance Centre, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
| | - John‐Paul Taylor
- Institute of Neuroscience, Newcastle University, Campus for Ageing and VitalityNewcastle upon TyneNE4 5PLUnited Kingdom
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105
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Distinct manifestation of cognitive deficits associate with different resting-state network disruptions in non-demented patients with Parkinson’s disease. J Neurol 2018; 265:688-700. [DOI: 10.1007/s00415-018-8755-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 12/11/2017] [Accepted: 01/17/2018] [Indexed: 12/13/2022]
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106
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Liu H, Yu C, Xu T, Zhang X, Dong M. Synergistic protective effect of paeoniflorin and β-ecdysterone against rotenone-induced neurotoxicity in PC12 cells. Apoptosis 2018; 21:1354-1365. [PMID: 27688248 DOI: 10.1007/s10495-016-1293-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
There are several factors, like oxidative stress and neurons loss, involving neurodegenerative diseases such as Parkinson's disease (PD). The combination of antioxidant and anti-apoptotic agent is becoming a promising approach to fight against PD. This study evaluates the hypothesis that paeoniflorin (PF) and β-ecdysterone (β-Ecd) synergize to protect PC12 cells against toxicity induced by PD-related neurotoxin rotenone. The combination of PF and β-Ecd, hereafter referred to as the PF/β-Ecd, at suboptimal concentrations increased the viability of rotenone-exposed PC12 cells in a synergistic manner. PF and β-Ecd cooperate to attenuate the rotenone-induced apoptosis by decrease in Bax expression, caspase-9 activity, and caspase-3 activity. PF or PF/β-Ecd, but not β-Ecd, inhibited rotenone-triggered protein kinase C-δkinase C-δ (PKCδ) upregulation and nuclear factor κB (NF-κB) activation. β-Ecd or PF/β-Ecd, but not PF, enhanced serine/threonine protein kinase (Akt) activation, promoted nuclear factor E2-related factor 2 (Nrf2) nuclear accumulation, suppressed reactive oxygen species (ROS) production. Neuroprotection of PF/β-Ecd could be completely blocked by PKCδ inhibitor rottlerin plus Akt specific inhibitor LY294002. Dual blockade of the PKCδ/NF-κB pathway by PF and activation of Akt/Nrf2 pathway by β-Ecd results in a synergistic neuroprotective effect against rotenone-induced neurotoxicity in vitro. These findings provide the rationale for determining the in vivo activity of combined therapy with PF and β-Ecd against PD.
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Affiliation(s)
- Han Liu
- The Institute of Medicine, Qiqihar Medical University, 333 BuKui Street, JianHua District, Qiqihar, 161006, China
| | - Chunlei Yu
- The Institute of Medicine, Qiqihar Medical University, 333 BuKui Street, JianHua District, Qiqihar, 161006, China
| | - Tianjiao Xu
- The Institute of Medicine, Qiqihar Medical University, 333 BuKui Street, JianHua District, Qiqihar, 161006, China
| | - Xiaojie Zhang
- The Institute of Medicine, Qiqihar Medical University, 333 BuKui Street, JianHua District, Qiqihar, 161006, China
| | - Miaoxian Dong
- The Institute of Medicine, Qiqihar Medical University, 333 BuKui Street, JianHua District, Qiqihar, 161006, China.
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107
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Zhuang X, Walsh RR, Sreenivasan K, Yang Z, Mishra V, Cordes D. Incorporating spatial constraint in co-activation pattern analysis to explore the dynamics of resting-state networks: An application to Parkinson's disease. Neuroimage 2018; 172:64-84. [PMID: 29355770 DOI: 10.1016/j.neuroimage.2018.01.019] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/23/2017] [Accepted: 01/10/2018] [Indexed: 12/28/2022] Open
Abstract
The dynamics of the brain's intrinsic networks have been recently studied using co-activation pattern (CAP) analysis. The CAP method relies on few model assumptions and CAP-based measurements provide quantitative information of network temporal dynamics. One limitation of existing CAP-related methods is that the computed CAPs share considerable spatial overlap that may or may not be functionally distinct relative to specific network dynamics. To more accurately describe network dynamics with spatially distinct CAPs, and to compare network dynamics between different populations, a novel data-driven CAP group analysis method is proposed in this study. In the proposed method, a dominant-CAP (d-CAP) set is synthesized across CAPs from multiple clustering runs for each group with the constraint of low spatial similarities among d-CAPs. Alternating d-CAPs with less overlapping spatial patterns can better capture overall network dynamics. The number of d-CAPs, the temporal fraction and spatial consistency of each d-CAP, and the subject-specific switching probability among all d-CAPs are then calculated for each group and used to compare network dynamics between groups. The spatial dissimilarities among d-CAPs computed with the proposed method were first demonstrated using simulated data. High consistency between simulated ground-truth and computed d-CAPs was achieved, and detailed comparisons between the proposed method and existing CAP-based methods were conducted using simulated data. In an effort to physiologically validate the proposed technique and investigate network dynamics in a relevant brain network disorder, the proposed method was then applied to data from the Parkinson's Progression Markers Initiative (PPMI) database to compare the network dynamics in Parkinson's disease (PD) and normal control (NC) groups. Fewer d-CAPs, skewed distribution of temporal fractions of d-CAPs, and reduced switching probabilities among final d-CAPs were found in most networks in the PD group, as compared to the NC group. Furthermore, an overall negative association between switching probability among d-CAPs and disease severity was observed in most networks in the PD group as well. These results expand upon previous findings from in vivo electrophysiological recording studies in PD. Importantly, this novel analysis also demonstrates that changes in network dynamics can be measured using resting-state fMRI data from subjects with early stage PD.
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Affiliation(s)
- Xiaowei Zhuang
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA
| | - Ryan R Walsh
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | | | - Zhengshi Yang
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA
| | - Virendra Mishra
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA
| | - Dietmar Cordes
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV 89106, USA; Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO 80309, USA.
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108
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Teixeira FG, Gago MF, Marques P, Moreira PS, Magalhães R, Sousa N, Salgado AJ. Safinamide: a new hope for Parkinson's disease? Drug Discov Today 2018; 23:736-744. [PMID: 29339106 DOI: 10.1016/j.drudis.2018.01.033] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/21/2017] [Accepted: 01/09/2018] [Indexed: 12/16/2022]
Abstract
The loss of dopaminergic neurons (DAn) and reduced dopamine (DA) production underlies the reasoning behind the gold standard treatment for Parkinson's disease (PD) using levodopa (L-DOPA). Recently licensed by the European Medicine Agency (EMA) and US Food and Drug Administration (FDA), safinamide [a monoamine oxidase B (MOA-B) inhibitor] is an alternative to L-DOPA; as we discuss here, it enhances dopaminergic transmission with decreased secondary effects compared with L-DOPA. In addition, nondopaminergic actions (neuroprotective effects) have been reported, with safinamide inhibiting glutamate release and sodium/calcium channels, reducing the excitotoxic input to dopaminergic neuronal death. Effects of safinamide have been correlated with the amelioration of non-motor symptoms (NMS), although these remain under discussion. Overall, safinamide can be considered to have potential antidyskinetic and neuroprotective effects and future trials and/or studies should be performed to provide further evidence for its potential as an anti-PD drug.
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Affiliation(s)
- Fábio G Teixeira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal.
| | - Miguel F Gago
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal; Neurology Department, Hospital da Senhora da Oliveira, EPE, Guimarães, Portugal
| | - Paulo Marques
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Pedro Silva Moreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Ricardo Magalhães
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - António J Salgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal; ICVS/3Bs - PT Government Associate Laboratory, Braga/Guimarães, Portugal
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Yoneyama N, Watanabe H, Kawabata K, Bagarinao E, Hara K, Tsuboi T, Tanaka Y, Ohdake R, Imai K, Masuda M, Hattori T, Ito M, Atsuta N, Nakamura T, Hirayama M, Maesawa S, Katsuno M, Sobue G. Severe hyposmia and aberrant functional connectivity in cognitively normal Parkinson's disease. PLoS One 2018; 13:e0190072. [PMID: 29304050 PMCID: PMC5755765 DOI: 10.1371/journal.pone.0190072] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 12/07/2017] [Indexed: 12/27/2022] Open
Abstract
Objective Severe hyposmia is a risk factor of dementia in Parkinson’s disease (PD), while the underlying functional connectivity (FC) and brain volume alterations in PD patients with severe hyposmia (PD-SH) are unclear. Methods We examined voxel-based morphometric and resting state functional magnetic resonance imaging findings in 15 cognitively normal PD-SH, 15 cognitively normal patients with PD with no/mild hyposmia (PD-N/MH), and 15 healthy controls (HCs). Results Decreased gray matter volume (GMV) was observed in the bilateral cuneus, right associative visual area, precuneus, and some areas in anterior temporal lobes in PD-SH group compared to HCs. Both the PD-SH and PD-N/MH groups showed increased GMV in the bilateral posterior insula and its surrounding regions. A widespread significant decrease in amygdala FC beyond the decreased GMV areas and olfactory cortices were found in the PD-SH group compared with the HCs. Above all, decreased amygdala FC with the inferior parietal lobule, lingual gyrus, and fusiform gyrus was significantly correlated with both reduction of Addenbrooke’s Cognitive Examination-Revised scores and severity of hyposmia in all participants. Canonical resting state networks exhibited decreased FC in the precuneus and left executive control networks but increased FC in the primary and high visual networks of patients with PD compared with HCs. Canonical network FC to other brain regions was enhanced in the executive control, salience, primary visual, and visuospatial networks of the PD-SH. Conclusion PD-SH showed extensive decreased amygdala FC. Particularly, decreased FC between the amygdala and inferior parietal lobule, lingual gyrus, and fusiform gyrus were associated with the severity of hyposmia and cognitive performance. In contrast, relatively preserved canonical networks in combination with increased FC to brain regions outside of canonical networks may be related to compensatory mechanisms, and preservation of brain function.
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Affiliation(s)
- Noritaka Yoneyama
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hirohisa Watanabe
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Brain and Mind Research Center, Nagoya University Graduate School of Medicine, Nagoya, Japan
- * E-mail: (GS); (HW)
| | - Kazuya Kawabata
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Epifanio Bagarinao
- Brain and Mind Research Center, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuhiro Hara
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takashi Tsuboi
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yasuhiro Tanaka
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Reiko Ohdake
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazunori Imai
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Michihito Masuda
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | | | - Mizuki Ito
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Atsuta
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomohiko Nakamura
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masaaki Hirayama
- Department of Pathophysiological Laboratory Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satoshi Maesawa
- Brain and Mind Research Center, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Neurosurgery, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Gen Sobue
- Department of Neurology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Brain and Mind Research Center, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Nagoya University Graduate School of Medicine, Nagoya, Japan
- * E-mail: (GS); (HW)
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110
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Chen Y, Lian YJ, Ma YQ, Wu CJ, Zheng YK, Xie NC. LncRNA SNHG1 promotes α-synuclein aggregation and toxicity by targeting miR-15b-5p to activate SIAH1 in human neuroblastoma SH-SY5Y cells. Neurotoxicology 2017; 68:212-221. [PMID: 29217406 DOI: 10.1016/j.neuro.2017.12.001] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Revised: 11/23/2017] [Accepted: 12/03/2017] [Indexed: 02/07/2023]
Abstract
Numerous long non-coding RNAs (lncRNAs) have been identified as aberrantly expressed in Parkinson's disease (PD). However, limited knowledge is available concerning the roles of dysregulated lncRNAs and the underlying molecular regulatory mechanism in the pathological process of PD. In this study, we found that lncRNA small nucleolar RNA host gene 1 (SNHG1) and seven in absentia homolog 1 (SIAH1) were upregulated, but microRNA-15b-5p (miR-15b-5p) was downregulated in SH-SY5Y cells pretreated with MPP+, as well as in MPTP-induced mouse model of PD. Overexpression of SIAH1 enhanced cellular toxicity of α-synuclein in SH-SY5Y cells, as indicated by the reduction of cell viability and elevation of LDH release. The percentage of α-synuclein aggregate-positive cells and the number of α-synuclein aggregates per cell were increased in SH-SY5Y cells transfected with pcDNA-SIAH1, while decreased after transfection with short interfering RNA specific for SIAH1 (si-SIAH1). Bioinformatics and luciferase reporter assay revealed that SIAH1 was a direct target of miR-15b-5p. We also found that SNHG1 could directly bind to miR-15-5p and repress miR-15-5p expression. Upregulation of miR-15b-5p alleviated α-synuclein aggregation and apoptosis by targeting SIAH1 in SH-SY5Y cells overexpressing α-synuclein. Overexpression of SNHG1 enhanced, whereas SNHG1 knockdown inhibited α-synuclein aggregation and α-synuclein-induced apoptosis. Moreover, the neuroprotective effect of si-SNHG1 was abrogated by downregulation of miR-15b-5p. In summary, our data suggest that SNHG1, as a pathogenic factor, promotes α-synuclein aggregation and toxicity by targeting the miR-15b-5p/SIAH1 axis, contributing to a better understanding of the mechanisms of Lewy body formation and loss of dopaminergic neurons in PD.
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Affiliation(s)
- Yuan Chen
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China
| | - Ya-Jun Lian
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China.
| | - Yun-Qing Ma
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China
| | - Chuan-Jie Wu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China
| | - Ya-Ke Zheng
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China
| | - Nan-Chang Xie
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, PR China
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111
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Thibes RB, Novaes NP, Lucato LT, Campanholo KR, Melo LM, Leite CC, Amaro E, Barbosa ER, Bor-Seng-Shu E, Cardoso EF, Sato JR. Altered Functional Connectivity Between Precuneus and Motor Systems in Parkinson's Disease Patients. Brain Connect 2017; 7:643-647. [DOI: 10.1089/brain.2017.0534] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Raíssa Benocci Thibes
- Center for Mathematics, Computing and Cognition, Universidade Federal do ABC (UFABC), São Paulo, Brazil
| | - Natalia P. Novaes
- Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
- Department of Neurology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Leandro T. Lucato
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Kenia R. Campanholo
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Luciano M. Melo
- Department of Neurology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Claudia C. Leite
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Edson Amaro
- Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Egberto Reis Barbosa
- Department of Neurosurgery of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - Edson Bor-Seng-Shu
- Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Ellison Fernando Cardoso
- Department of Radiology, Hospital Israelita Albert Einstein, São Paulo, Brazil
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
| | - João Ricardo Sato
- Center for Mathematics, Computing and Cognition, Universidade Federal do ABC (UFABC), São Paulo, Brazil
- LIM44, Department of Radiology of HCFMUSP, University of São Paulo, São Paulo, Brazil
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112
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Ren Y, Zhao X, Liang X, Ma PX, Guo B. Injectable hydrogel based on quaternized chitosan, gelatin and dopamine as localized drug delivery system to treat Parkinson’s disease. Int J Biol Macromol 2017; 105:1079-1087. [DOI: 10.1016/j.ijbiomac.2017.07.130] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 07/05/2017] [Accepted: 07/19/2017] [Indexed: 12/11/2022]
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113
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Badea L, Onu M, Wu T, Roceanu A, Bajenaru O. Exploring the reproducibility of functional connectivity alterations in Parkinson's disease. PLoS One 2017; 12:e0188196. [PMID: 29182621 PMCID: PMC5705108 DOI: 10.1371/journal.pone.0188196] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 11/02/2017] [Indexed: 12/31/2022] Open
Abstract
Since anatomic MRI is presently not able to directly discern neuronal loss in Parkinson's Disease (PD), studying the associated functional connectivity (FC) changes seems a promising approach toward developing non-invasive and non-radioactive neuroimaging markers for this disease. While several groups have reported such FC changes in PD, there are also significant discrepancies between studies. Investigating the reproducibility of PD-related FC changes on independent datasets is therefore of crucial importance. We acquired resting-state fMRI scans for 43 subjects (27 patients and 16 normal controls, with 2 replicate scans per subject) and compared the observed FC changes with those obtained in two independent datasets, one made available by the PPMI consortium (91 patients, 18 controls) and a second one by the group of Tao Wu (20 patients, 20 controls). Unfortunately, PD-related functional connectivity changes turned out to be non-reproducible across datasets. This could be due to disease heterogeneity, but also to technical differences. To distinguish between the two, we devised a method to directly check for disease heterogeneity using random splits of a single dataset. Since we still observe non-reproducibility in a large fraction of random splits of the same dataset, we conclude that functional heterogeneity may be a dominating factor behind the lack of reproducibility of FC alterations in different rs-fMRI studies of PD. While global PD-related functional connectivity changes were non-reproducible across datasets, we identified a few individual brain region pairs with marginally consistent FC changes across all three datasets. However, training classifiers on each one of the three datasets to discriminate PD scans from controls produced only low accuracies on the remaining two test datasets. Moreover, classifiers trained and tested on random splits of the same dataset (which are technically homogeneous) also had low test accuracies, directly substantiating disease heterogeneity.
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Affiliation(s)
- Liviu Badea
- Artificial Intelligence and Bioinformatics Group, National Institute for Research and Development in Informatics, Bucharest, Romania
- * E-mail:
| | - Mihaela Onu
- Medical Imaging Department, Clinical Hospital Prof. Dr. Th. Burghele, Bucharest, Romania
- University of Medicine and Pharmacy “Carol Davila”, Biophysics Department, Bucharest, Romania
| | - Tao Wu
- Department of Neurobiology, Key Laboratory on Neurodegenerative Disorders of Ministry of Education, Beijing Institute of Geriatrics, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory on Parkinson’s Disease, Parkinson Disease Centre of Beijing Institute for Brain Disorders, Beijing, China
| | - Adina Roceanu
- University Emergency Hospital Bucharest, Neurology Department, Bucharest, Romania
| | - Ovidiu Bajenaru
- University Emergency Hospital Bucharest, Neurology Department, Bucharest, Romania
- University of Medicine and Pharmacy “Carol Davila”, Department of Clinical Neurosciences, Bucharest, Romania
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114
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Abstract
Resting state studies in neuropsychiatric disorders have already provided much useful information, but the field is regarded as being at a relatively preliminary stage and subject to several design issues that set limits on the overall utility.
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Affiliation(s)
- Godfrey David Pearlson
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA; Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA; Olin Neuropsychiatry Research Center, Institute of Living, 200 Retreat Avenue, Hartford, CT 06106, USA.
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115
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Kim J, Criaud M, Cho SS, Díez-Cirarda M, Mihaescu A, Coakeley S, Ghadery C, Valli M, Jacobs MF, Houle S, Strafella AP. Abnormal intrinsic brain functional network dynamics in Parkinson's disease. Brain 2017; 140:2955-2967. [PMID: 29053835 PMCID: PMC5841202 DOI: 10.1093/brain/awx233] [Citation(s) in RCA: 225] [Impact Index Per Article: 32.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 06/22/2017] [Accepted: 07/17/2017] [Indexed: 01/17/2023] Open
Abstract
See Nieuwhof and Helmich (doi:10.1093/brain/awx267 ) for a scientific commentary on this article . Parkinson’s disease is a neurodegenerative disorder characterized by nigrostriatal dopamine depletion. Previous studies measuring spontaneous brain activity using resting state functional magnetic resonance imaging have reported abnormal changes in broadly distributed whole-brain networks. Although resting state functional connectivity, estimating temporal correlations between brain regions, is measured with the assumption that intrinsic fluctuations throughout the scan are stable, dynamic changes of functional connectivity have recently been suggested to reflect aspects of functional capacity of neural systems, and thus may serve as biomarkers of disease. The present work is the first study to investigate the dynamic functional connectivity in patients with Parkinson’s disease, with a focus on the temporal properties of functional connectivity states as well as the variability of network topological organization using resting state functional magnetic resonance imaging. Thirty-one Parkinson’s disease patients and 23 healthy controls were studied using group spatial independent component analysis, a sliding windows approach, and graph-theory methods. The dynamic functional connectivity analyses suggested two discrete connectivity configurations: a more frequent, sparsely connected within-network state (State I) and a less frequent, more strongly interconnected between-network state (State II). In patients with Parkinson’s disease, the occurrence of the sparsely connected State I dropped by 12.62%, while the expression of the more strongly interconnected State II increased by the same amount. This was consistent with the altered temporal properties of the dynamic functional connectivity characterized by a shortening of the dwell time of State I and by a proportional increase of the dwell time pattern in State II. These changes are suggestive of a reduction in functional segregation among networks and are correlated with the clinical severity of Parkinson’s disease symptoms. Additionally, there was a higher variability in the network global efficiency, suggesting an abnormal global integration of the brain networks. The altered functional segregation and abnormal global integration in brain networks confirmed the vulnerability of functional connectivity networks in Parkinson’s disease.
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Affiliation(s)
- Jinhee Kim
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Marion Criaud
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Sang Soo Cho
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - María Díez-Cirarda
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Alexander Mihaescu
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Sarah Coakeley
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Christine Ghadery
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Mikaeel Valli
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Mark F Jacobs
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
| | - Sylvain Houle
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
| | - Antonio P Strafella
- Morton and Gloria Shulman Movement Disorder Unit and E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Ontario, M5G 2C4, Canada
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, M5T 2S8, Canada
- Division of Brain, Imaging and Behaviour – Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, Ontario, M5T 2S8, Canada
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Chung SJ, Choi YH, Kwon H, Park YH, Yun HJ, Yoo HS, Moon SH, Ye BS, Sohn YH, Lee JM, Lee PH. Sleep Disturbance May Alter White Matter and Resting State Functional Connectivities in Parkinson's Disease. Sleep 2017; 40:2962411. [PMID: 28364425 DOI: 10.1093/sleep/zsx009] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Study Objectives To clarify whether sleep disturbance would alter the patterns of structural and functional networks underlying cognitive dysfunction in patients with Parkinson's disease (PD). Methods Among the 180 patients with nondemented PD in our cohort, 45 patients were classified as the group with sleep disturbance according to the 5-item scales for outcomes in Parkinson's disease nighttime scale. Based on propensity scores, another 45 PD patients without sleep disturbance were matched to this group. We performed a comparative analysis of cortical thickness, diffusion tensor imaging-based white matter integrity, resting-state functional connectivity, and cognitive performance between PD patients with and without sleep disturbance. Results PD patients with sleep disturbance showed poorer performance in attention and working memory and a tendency toward a lower score in frontal executive function relative to those without sleep disturbance. The PD with sleep disturbance group exhibited widespread white matter disintegration compared to the PD without sleep disturbance group, although there were no significant differences in cortical thickness between the PD subgroups. On functional network analysis, PD patients with sleep disturbance exhibited less severely decreased cortical functional connectivity within the default mode network, central executive network, and dorsal attention network when compared to those without sleep disturbance. Conclusions The present study suggests that sleep disturbance in PD patients could be associated with white matter and functional network alterations in conjunction with cognitive impairment.
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Affiliation(s)
- Seok Jong Chung
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.,Jangseong Public Health Center, Jangseong, South Korea
| | - Yong-Ho Choi
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Hunki Kwon
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Yeong-Hun Park
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Hyuk Jin Yun
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Han Soo Yoo
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Byoung Seok Ye
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong-Min Lee
- Department of Biomedical Engineering, Hanyang University, Seoul, South Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.,Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
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117
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Kori M, Aydın B, Unal S, Arga KY, Kazan D. Metabolic Biomarkers and Neurodegeneration: A Pathway Enrichment Analysis of Alzheimer's Disease, Parkinson's Disease, and Amyotrophic Lateral Sclerosis. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2017; 20:645-661. [PMID: 27828769 DOI: 10.1089/omi.2016.0106] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS) lack robust diagnostics and prognostic biomarkers. Metabolomics is a postgenomics field that offers fresh insights for biomarkers of common complex as well as rare diseases. Using data on metabolite-disease associations published in the previous decade (2006-2016) in PubMed, ScienceDirect, Scopus, and Web of Science, we identified 101 metabolites as putative biomarkers for these three neurodegenerative diseases. Notably, uric acid, choline, creatine, L-glutamine, alanine, creatinine, and N-acetyl-L-aspartate were the shared metabolite signatures among the three diseases. The disease-metabolite-pathway associations pointed out the importance of membrane transport (through ATP binding cassette transporters), particularly of arginine and proline amino acids in all three neurodegenerative diseases. When disease-specific and common metabolic pathways were queried by using the pathway enrichment analyses, we found that alanine, aspartate, glutamate, and purine metabolism might act as alternative pathways to overcome inadequate glucose supply and energy crisis in neurodegeneration. These observations underscore the importance of metabolite-based biomarker research in deciphering the elusive pathophysiology of neurodegenerative diseases. Future research investments in metabolomics of complex diseases might provide new insights on AD, PD, and ALS that continue to place a significant burden on global health.
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Affiliation(s)
- Medi Kori
- Department of Bioengineering, Faculty of Engineering, Marmara University , Istanbul, Turkey
| | - Busra Aydın
- Department of Bioengineering, Faculty of Engineering, Marmara University , Istanbul, Turkey
| | - Semra Unal
- Department of Bioengineering, Faculty of Engineering, Marmara University , Istanbul, Turkey
| | - Kazim Yalcin Arga
- Department of Bioengineering, Faculty of Engineering, Marmara University , Istanbul, Turkey
| | - Dilek Kazan
- Department of Bioengineering, Faculty of Engineering, Marmara University , Istanbul, Turkey
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118
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Ng B, Varoquaux G, Poline JB, Thirion B, Greicius MD, Poston KL. Distinct alterations in Parkinson's medication-state and disease-state connectivity. Neuroimage Clin 2017; 16:575-585. [PMID: 28971008 PMCID: PMC5608603 DOI: 10.1016/j.nicl.2017.09.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2017] [Revised: 08/30/2017] [Accepted: 09/05/2017] [Indexed: 01/05/2023]
Abstract
Altered brain connectivity has been described in people with Parkinson's disease and in response to dopaminergic medications. However, it is unclear whether dopaminergic medications primarily 'normalize' disease related connectivity changes or if they induce unique alterations in brain connectivity. Further, it is unclear how these disease- and medication-associated changes in brain connectivity relate differently to specific motor manifestations of disease, such as bradykinesia/rigidity and tremor. In this study, we applied a novel covariance projection approach in combination with a bootstrapped permutation test to resting state functional MRI data from 57 Parkinson's disease and 20 healthy control participants to determine the Parkinson's medication-state and disease-state connectivity changes associated with different motor manifestations of disease. First, we identified brain connections that best classified Parkinson's disease ON versus OFF dopamine and Parkinson's disease versus healthy controls, achieving 96.9 ± 5.9% and 72.7 ± 12.4% classification accuracy, respectively. Second, we investigated the connections that significantly contribute to the classifications. We found that the connections greater in Parkinson's disease OFF compared to ON dopamine are primarily between motor (cerebellum and putamen) and posterior cortical regions, such as the posterior cingulate cortex. By contrast, connections that are greater in ON compared to OFF dopamine are between the right and left medial prefrontal cortex. We also identified the connections that are greater in healthy control compared to Parkinson's disease and found the most significant connections are associated with primary motor regions, such as the striatum and the supplementary motor area. Notably, these are different connections than those identified in Parkinson's disease OFF compared to ON. Third, we determined which of the Parkinson's medication-state and disease-state connections are associated with the severity of different motor symptoms. We found two connections correlate with both bradykinesia/rigidity severity and tremor severity, whereas four connections correlate with only bradykinesia/rigidity severity, and five connections correlate with only tremor severity. Connections that correlate with only tremor severity are anchored by the cerebellum and the supplemental motor area, but only those connections that include the supplemental motor area predict dopaminergic improvement in tremor. Our results suggest that dopaminergic medications do not simply 'normalize' abnormal brain connectivity associated with Parkinson's disease, but rather dopamine drives distinct connectivity changes, only some of which are associated with improved motor symptoms. In addition, the dissociation between of connections related to severity of bradykinesia/rigidity versus tremor highlights the distinct abnormalities in brain circuitry underlying these specific motor symptoms.
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Affiliation(s)
- Bernard Ng
- Mostafavi Lab, Department of Statistics, University of British Columbia, Vancouver, BC, Canada
- Parietal team, INRIA Saclay, Gif-sur-Yvette, France
- Functional Imaging in Neuropsychiatric Disorders (FIND) Lab, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | | | | | | | - Michael D. Greicius
- Functional Imaging in Neuropsychiatric Disorders (FIND) Lab, Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Kathleen L. Poston
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
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119
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Abstract
Parkinson's disease (PD) is a chronic and progressive movement disorder of the central nervous system characterized by widespread alterations in several non-motor aspects such as mood, sleep, olfactory, and cognition in addition to motor dysfunctions. Advanced neuroimaging using functional connectivity reconstruction of the human brain has provided a vast knowledge on the pathophysiological mechanisms underlying this disorder, but this, however, does not cover the overall inter-/intra-individual variability of PD phenotypes. The present review is aimed at discussing to what extent the evidence provided by group-based neuroimaging analysis in this field of study (using seed-based, network-based, or graph theory approaches) may be generalized. In particular, we summarized the literature on the application of resting-state functional connectivity studies to explore different neural correlates of motor and non-motor symptoms of PD and the neural mechanisms involved in treatment effects: effects of levodopa or deep brain stimulation. The lesson learnt from one decade of studies provides consistent evidence on the role of the altered communication between the striato-frontal pathways as a marker of PD-related motor degeneration, whereas in the non-motor domain, several missing pieces of a complex puzzle are provided. However, the main target is to present a new era of intelligent neuroimaging applications, where automated multivariate analysis of functional connectivity data may be used for moving from group-level statistical results to personalized predictions in a clinical setting. Although in its relative infancy, the evidence gathered so far suggests a new era of clinical neuroimaging is starting.
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Affiliation(s)
| | | | - Aldo Quattrone
- IBFM, National Research Council, Germaneto, CZ, Italy. .,Institute of Neurology, Department of Medical Sciences, University Magna Graecia Catanzaro, Catanzaro, Italy.
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120
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Heim B, Krismer F, De Marzi R, Seppi K. Magnetic resonance imaging for the diagnosis of Parkinson's disease. J Neural Transm (Vienna) 2017; 124:915-964. [PMID: 28378231 PMCID: PMC5514207 DOI: 10.1007/s00702-017-1717-8] [Citation(s) in RCA: 134] [Impact Index Per Article: 19.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/22/2017] [Indexed: 12/11/2022]
Abstract
The differential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology and error rates in the clinical diagnosis can be high even at specialized centres. Despite several limitations, magnetic resonance imaging (MRI) has undoubtedly enhanced the diagnostic accuracy in the differential diagnosis of neurodegenerative parkinsonism over the last three decades. This review aims to summarize research findings regarding the value of the different MRI techniques, including advanced sequences at high- and ultra-high-field MRI and modern image analysis algorithms, in the diagnostic work-up of Parkinson's disease. This includes not only the exclusion of alternative diagnoses for Parkinson's disease such as symptomatic parkinsonism and atypical parkinsonism, but also the diagnosis of early, new onset, and even prodromal Parkinson's disease.
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Affiliation(s)
- Beatrice Heim
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Florian Krismer
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
| | - Roberto De Marzi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Klaus Seppi
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
- Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria.
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121
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Wen MC, Chan LL, Tan LCS, Tan EK. Mood and neural correlates of excessive daytime sleepiness in Parkinson's disease. Acta Neurol Scand 2017; 136:84-96. [PMID: 28670700 DOI: 10.1111/ane.12704] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2016] [Indexed: 01/18/2023]
Abstract
For patients with Parkinson's disease (PD), excessive daytime sleepiness (PD-EDS) is a debilitating non-motor symptom and may be affected by mood symptoms, especially depression and anxiety. Few neuroimaging works have attempted to identify the neural features of PD-EDS, but various findings were reported. The purpose of this study was to systematically review the literature on mood and neuroimaging correlates of PD-EDS. A MEDLINE, PubMed, EMBASE, and PsycInfo search for peer-reviewed original research articles on depression, anxiety, and neuroimaging in PD-EDS identified 26 studies on depression, nine on anxiety, and eight on neuroimaging. Half of the studies reported greater depression in PD-EDS-positive patients compared with PD-EDS-negative patients. There was a significantly positive correlation between depression and PD-EDS. Limited studies on anxiety in PD-EDS suggested a weak correlation between anxiety and EDS. For depression and anxiety, the effect sizes were medium when EDS was subjectively measured, but became small when EDS was objective measured. Current neuroimaging studies generally suggested diminished neural structural and functional features (eg, brain volume, white matter integrity as indicated by fractional anisotropy, and cerebral metabolism) in patients with PD-EDS. Future studies should apply objective and subjective measures of mood symptoms and EDS and improve the neuroimaging methodology via using multimodal techniques and whole-brain analysis to provide new clues on the mood and neural correlates of PD-EDS.
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Affiliation(s)
- M.-C. Wen
- Department of Research; National Neuroscience Institute; Singapore Singapore
- Department of Neurology; National Neuroscience Institute; Singapore Singapore
| | - L. L. Chan
- Department of Diagnostic Radiology; Singapore General Hospital; Singapore Singapore
| | - L. C. S. Tan
- Department of Neurology; National Neuroscience Institute; Singapore Singapore
- Duke-National University of Singapore Graduate Medical School; Singapore Singapore
| | - E. K. Tan
- Department of Research; National Neuroscience Institute; Singapore Singapore
- Department of Neurology; National Neuroscience Institute; Singapore Singapore
- Duke-National University of Singapore Graduate Medical School; Singapore Singapore
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122
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Tuite P. Brain Magnetic Resonance Imaging (MRI) as a Potential Biomarker for Parkinson's Disease (PD). Brain Sci 2017; 7:E68. [PMID: 28621758 PMCID: PMC5483641 DOI: 10.3390/brainsci7060068] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 06/09/2017] [Accepted: 06/13/2017] [Indexed: 12/14/2022] Open
Abstract
Magnetic resonance imaging (MRI) has the potential to serve as a biomarker for Parkinson's disease (PD). However, the type or types of biomarker it could provide remain to be determined. At this time there is not sufficient sensitivity or specificity for MRI to serve as an early diagnostic biomarker, i.e., it is unproven in its ability to determine if a single individual is normal, has mild PD, or has some other forms of degenerative parkinsonism. However there is accumulating evidence that MRI may be useful in staging and monitoring disease progression (staging biomarker), and also possibly as a means to monitor pathophysiological aspects of disease and associated response to treatments, i.e., theranostic marker. As there are increasing numbers of manuscripts that are dedicated to diffusion- and neuromelanin-based imaging methods, this review will focus on these topics cursorily and will delve into pharmacodynamic imaging as a means to get at theranostic aspects of PD.
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Affiliation(s)
- Paul Tuite
- Neurology Department, University of Minnesota, MMC 295, 420 Delaware St SE, Minneapolis, MN 55455, USA.
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123
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Cocozza S, Pisani A, Olivo G, Saccà F, Ugga L, Riccio E, Migliaccio S, Brescia Morra V, Brunetti A, Quarantelli M, Tedeschi E. Alterations of functional connectivity of the motor cortex in Fabry disease. Neurology 2017; 88:1822-1829. [DOI: 10.1212/wnl.0000000000003913] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 01/20/2017] [Indexed: 11/15/2022] Open
Abstract
Objective:To evaluate the presence of functional connectivity (FC) alterations of the motor circuits in patients with Fabry disease (FD) and their possible correlation with clinical variables with a resting-state (RS) fMRI analysis.Methods:In our cross-sectional study, 32 patients with FD with genetically confirmed classic diagnosis of FD (12 men, mean age 43.3 ± 12.2 years) were enrolled along with 35 healthy controls (HCs) of comparable age and sex (14 men, mean age 42.1 ± 14.5 years). RS-fMRI data were analyzed with a seed-based approach, with 2 different seeds for right and left motor cortex. Patients with FD underwent a clinical examination for the assessment of different motor functions. Correlations with clinical variables were probed with the Spearman correlation coefficient.Results:A reduction of FC was found in patients with FD compared to HCs between both motor cortices and 2 clusters encompassing, for each side, the caudate and lenticular nucleus (p < 5 × 10−4 and p < 10−8 for right and left motor cortex, respectively) and between the left motor cortex and dentate nuclei (p = 0.01) and Crus 1 in the right cerebellar hemisphere (p = 0.001). No significant results emerged in tests for possible correlations of FC with clinical scores.Conclusions:An alteration of the corticostriatal pathway is present in FD, in line with the recently suggested subclinical involvement of motor circuits in this disease. These results shed new light on the pattern of cerebral involvement in FD.
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Tahmasian M, Eickhoff SB, Giehl K, Schwartz F, Herz DM, Drzezga A, van Eimeren T, Laird AR, Fox PT, Khazaie H, Zarei M, Eggers C, Eickhoff CR. Resting-state functional reorganization in Parkinson's disease: An activation likelihood estimation meta-analysis. Cortex 2017; 92:119-138. [PMID: 28467917 DOI: 10.1016/j.cortex.2017.03.016] [Citation(s) in RCA: 90] [Impact Index Per Article: 12.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Revised: 01/15/2017] [Accepted: 03/31/2017] [Indexed: 12/21/2022]
Abstract
Parkinson's disease (PD) is a common progressive neurodegenerative disorder. Studies using resting-state functional magnetic resonance imaging (fMRI) to investigate underlying pathophysiology of motor and non-motor symptoms in PD yielded largely inconsistent results. This quantitative neuroimaging meta-analysis aims to identify consistent abnormal intrinsic functional patterns in PD across studies. We used PubMed to retrieve suitable resting-state studies and stereotactic data were extracted from 28 individual between-group comparisons. Convergence across their findings was tested using the activation likelihood estimation (ALE) approach. We found convergent evidence for intrinsic functional disturbances in bilateral inferior parietal lobule (IPL) and the supramarginal gyrus in PD patients compared to healthy subjects. In follow-up task-based and task-independent functional connectivity (FC) analyses using two independent healthy subject data sets, we found that the regions showing convergent aberrations in PD formed an interconnected network mainly with the default mode network (DMN). Behavioral characterization of these regions using the BrainMap database suggested associated dysfunction of perception and executive processes. Taken together, our findings highlight the role of parietal cortex in the pathophysiology of PD.
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Affiliation(s)
- Masoud Tahmasian
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1, INM-7), Research Center Jülich, Jülich, Germany
| | - Kathrin Giehl
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Frank Schwartz
- Department of Neurology, University Hospital Cologne, Germany
| | - Damian M Herz
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Thilo van Eimeren
- Department of Neurology, University Hospital Cologne, Germany; Department of Nuclear Medicine, University Hospital Cologne, Cologne, Germany
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Carsten Eggers
- Department of Neurology, University Hospital Cologne, Germany; Department of Neurology, Phillips University Marburg, Germany
| | - Claudia R Eickhoff
- Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
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125
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Khazaie H, Veronese M, Noori K, Emamian F, Zarei M, Ashkan K, Leschziner GD, Eickhoff CR, Eickhoff SB, Morrell MJ, Osorio RS, Spiegelhalder K, Tahmasian M, Rosenzweig I. Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI. Neurosci Biobehav Rev 2017; 77:219-231. [PMID: 28344075 PMCID: PMC6167921 DOI: 10.1016/j.neubiorev.2017.03.013] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 02/24/2017] [Accepted: 03/21/2017] [Indexed: 12/12/2022]
Abstract
Resting state functional MRI studies is a promising non-invasive tool for better understanding of the pathophysiology of sleep disorders. The salience network is involved in hyperarousal and affective symptoms in insomnia. The posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea. Disruption of intrinsic networks have been demonstrated in major depression, which is a common co-morbidity of sleep disorders.
Functional neuroimaging techniques have accelerated progress in the study of sleep disorders. Considering the striking prevalence of these disorders in the general population, however, as well as their strong bidirectional relationship with major neuropsychiatric disorders, including major depressive disorder, their numbers are still surprisingly low. This review examines the contribution of resting state functional MRI to current understanding of two major sleep disorders, insomnia disorder and obstructive sleep apnoea. An attempt is made to learn from parallels of previous resting state functional neuroimaging findings in major depressive disorder. Moreover, shared connectivity biomarkers are suggested for each of the sleep disorders. Taken together, despite some inconsistencies, the synthesis of findings to date highlights the importance of the salience network in hyperarousal and affective symptoms in insomnia. Conversely, dysfunctional connectivity of the posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea.
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Affiliation(s)
- Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mattia Veronese
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Farnoosh Emamian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Department of Psychiatry, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Keyoumars Ashkan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Department of Neurosurgery, King's College Hospital, London, UK
| | - Guy D Leschziner
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Mary J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust,Sydney Street, London, SW3 6NP, UK
| | - Ricardo S Osorio
- Center for Brain Health, NYU School of Medicine, New York, NY, United States
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
| | - Masoud Tahmasian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
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126
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Kobeleva X, Firbank M, Peraza L, Gallagher P, Thomas A, Burn DJ, O'Brien J, Taylor JP. Divergent functional connectivity during attentional processing in Lewy body dementia and Alzheimer's disease. Cortex 2017; 92:8-18. [PMID: 28391039 PMCID: PMC5480774 DOI: 10.1016/j.cortex.2017.02.016] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 02/03/2017] [Accepted: 02/21/2017] [Indexed: 12/14/2022]
Abstract
Attention and executive dysfunction are features of Lewy body dementia (LBD) but their neuroanatomical basis is poorly understood. To investigate underlying dysfunctional attention-executive network (EXEC) interactions, we examined functional connectivity (FC) in 30 patients with LBD, 20 patients with Alzheimer's disease (AD), and 21 healthy controls during an event-related functional magnetic resonance imaging (fMRI) experiment. Participants performed a modified Attention Network Test (ANT), where they were instructed to press a button in response to the majority direction of arrows, which were either all pointing in the same direction or with one pointing in the opposite direction. Network activations during both target conditions and a baseline condition (no target) were derived by (ICA) Independent Component Analysis, and interactions between these networks were examined using the beta series correlations approach. Our study revealed that FC of ventral and dorsal attention networks DAN was reduced in LBD during all conditions, although most prominently during incongruent trials. These alterations in connectivity might be driven by a failure of engagement of ventral attention networks, and consequent over-reliance on the DAN. In contrast, when comparing AD patients with the other groups, we found hyperconnectivity between the posterior part of the default mode network (DMN) and the DAN in all conditions, particularly during incongruent trials. This might be attributable to either a compensatory effect to overcome DMN dysfunction, or be arising as a result of a disturbed transition of the DMN from rest to task. Our results demonstrate that dementia syndromes can be characterized both by hyper- and hypoconnectivity of distinct brain networks, depending on the interplay between task demand and available cognitive resources. However these are dependent upon the underlying pathology, which needs to be taken into account when developing specific cognitive therapies for LBD as compared to Alzheimer's.
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Affiliation(s)
- Xenia Kobeleva
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK; Department of Neurology and Neurophysiology, Medical School Hannover, Hannover, Germany; University Hospital Bonn, Clinic for Neurology, Bonn, Germany.
| | - Michael Firbank
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
| | - Luis Peraza
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - Peter Gallagher
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - Alan Thomas
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - David J Burn
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
| | - John O'Brien
- Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, UK.
| | - John-Paul Taylor
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
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127
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Monnot C, Zhang X, Nikkhou-Aski S, Damberg P, Svenningsson P. Asymmetric dopaminergic degeneration and levodopa alter functional corticostriatal connectivity bilaterally in experimental parkinsonism. Exp Neurol 2017; 292:11-20. [PMID: 28223037 PMCID: PMC5405850 DOI: 10.1016/j.expneurol.2017.02.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 01/02/2017] [Accepted: 02/17/2017] [Indexed: 12/11/2022]
Abstract
Asymmetric dopamine loss is commonly found in early Parkinson's disease (PD), but its effects on functional networks have been difficult to delineate in PD patients because of variations in age, disease duration and therapy. Here we used unilateral 6-hydroxydopamine-lesioned (6-OHDA) rats and controls and treated them with a single intraperitoneal injection of levodopa (L-DOPA) before performing diffusion weighted MRI and resting state functional MRI (rs-fMRI). In accordance with a neurodegeneration of the nigrostriatal dopaminergic pathway, diffusion tensor imaging showed increased radial diffusivity and decreased fractional anisotropy in the lesioned substantia nigra. Likewise a deterministic connectometry approach showed increase of isotropic diffusion values in the medial forebrain bundle. rs-fMRI showed reduced interhemispheric functional connectivity (FC) between the intact and the 6-OHDA lesioned caudate-putamen. Unexpectedly, there was an increased FC between the 6-OHDA lesioned caudate-putamen and sensorimotor cortices of both hemispheres. L-DOPA reversed the FC changes between the dopamine denervated caudate-putamen and the sensorimotor cortices, but not the reduced interhemispheric FC between caudate-putamina. Similarly, L-DOPA induced c-fos expression in both sensorimotor cortices, but only in the dopamine-depleted caudate-putamen. Taken together, these data suggest that asymmetric degeneration of the nigrostriatal dopamine pathway results in functional asynchrony between the intact and 6-OHDA-lesioned caudate-putamen and increased interhemispheric synchrony between sensorimotor cortices. The results also indicate that the initial effect of L-DOPA is to restore functional corticostriatal connectivity rather than synchronize caudate-putamina. Rats unilaterally lesioned with 6-hydroxydopamine (6-OHDA) are examined using MRI. Diffusion MRI revealed loss of fractional anisotropy in a lesioned substantia nigra. rs-fMRI showed lower functional connectivity (FC) btw intact and lesioned striata. FC increased between the lesioned striatum and both sensorimotor cortices. Levodopa normalized FC between sensorimotor cortices and lesioned striatum.
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Affiliation(s)
- Cyril Monnot
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden.
| | - Xiaoqun Zhang
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden
| | - Sahar Nikkhou-Aski
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden; Karolinska Experimental Research and Imaging Center, Karolinska University Hospital, SE-171 76 Stockholm, Sweden
| | - Peter Damberg
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden; Karolinska Experimental Research and Imaging Center, Karolinska University Hospital, SE-171 76 Stockholm, Sweden
| | - Per Svenningsson
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, SE-171 76 Stockholm, Sweden.
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128
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Zhang S, Hu S, Chao HH, Li CSR. Hemispheric lateralization of resting-state functional connectivity of the ventral striatum: an exploratory study. Brain Struct Funct 2017; 222:2573-2583. [PMID: 28110447 DOI: 10.1007/s00429-016-1358-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Accepted: 12/21/2016] [Indexed: 01/01/2023]
Abstract
Resting-state functional connectivity (rsFC) is widely used to examine cerebral functional organization. The ventral striatum (VS) is critical to motivated behavior, with extant studies suggesting functional hemispheric asymmetry. The current work investigated differences in rsFC between the left (L) and right (R) VS and explored gender differences in the extent of functional lateralization. In 106 adults, we computed a laterality index (fcLI) to query whether a target region shows greater or less connectivity to the L vs R VS. A total of 45 target regions with hemispheric masks were examined from the Automated Anatomic Labeling atlas. One-sample t test was performed to explore significant laterality in the whole sample and in men and women separately. Two-sample t test was performed to examine gender differences in fcLI. At a corrected threshold (p < 0.05/45 = 0.0011), the dorsomedial prefrontal cortex (dmPFC) and posterior cingulate cortex (pCC) showed L lateralization and the intraparietal sulcus (IPS) and supramarginal gyrus (SMG) showed R lateralization in VS connectivity. Except for the pCC, these findings were replicated in a different data set (n = 97) from the Human Connectome Project. Furthermore, the fcLI of VS-pCC was negatively correlated with a novelty seeking trait in women but not in men. Together, the findings may suggest a more important role of the L VS in linking saliency response to self control and other internally directed processes. Right lateralization of VS connectivity to the SMG and IPS may support attention and action directed to external behavioral contingencies.
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Affiliation(s)
- Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine, CMHC S112, 34 Park Street, New Haven, CT, 06519-1109, USA
| | - Sien Hu
- Department of Psychiatry, Yale University School of Medicine, CMHC S112, 34 Park Street, New Haven, CT, 06519-1109, USA
| | - Herta H Chao
- Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.,Veterans Administration Medical Center, West Haven, CT, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, CMHC S112, 34 Park Street, New Haven, CT, 06519-1109, USA. .,Department of Neuroscience, Yale University School of Medicine, New Haven, CT, USA. .,Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, CT, USA.
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129
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Peraza LR, Nesbitt D, Lawson RA, Duncan GW, Yarnall AJ, Khoo TK, Kaiser M, Firbank MJ, O'Brien JT, Barker RA, Brooks DJ, Burn DJ, Taylor JP. Intra- and inter-network functional alterations in Parkinson's disease with mild cognitive impairment. Hum Brain Mapp 2017; 38:1702-1715. [PMID: 28084651 DOI: 10.1002/hbm.23499] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 10/16/2016] [Accepted: 12/07/2016] [Indexed: 01/13/2023] Open
Abstract
Mild cognitive impairment (MCI) is prevalent in 15%-40% of Parkinson's disease (PD) patients at diagnosis. In this investigation, we study brain intra- and inter-network alterations in resting state functional magnetic resonance imaging (rs-fMRI) in recently diagnosed PD patients and characterise them as either cognitive normal (PD-NC) or with MCI (PD-MCI). Patients were divided into two groups, PD-NC (N = 62) and PD-MCI (N = 37) and for comparison, healthy controls (HC, N = 30) were also included. Intra- and inter-network connectivity were investigated from participants' rs-fMRIs in 26 resting state networks (RSNs). Intra-network differences were found between both patient groups and HCs for networks associated with motor control (motor cortex), spatial attention and visual perception. When comparing both PD-NC and PD-MCI, intra-network alterations were found in RSNs related to attention, executive function and motor control (cerebellum). The inter-network analysis revealed a hyper-synchronisation between the basal ganglia network and the motor cortex in PD-NC compared with HCs. When both patient groups were compared, intra-network alterations in RSNs related to attention, motor control, visual perception and executive function were found. We also detected disease-driven negative synchronisations and synchronisation shifts from positive to negative and vice versa in both patient groups compared with HCs. The hyper-synchronisation between basal ganglia and motor cortical RSNs in PD and its synchronisation shift from negative to positive compared with HCs, suggest a compensatory response to basal dysfunction and altered basal-cortical motor control in the resting state brain of PD patients. Hum Brain Mapp 38:1702-1715, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Luis R Peraza
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.,Interdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing Science, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
| | - David Nesbitt
- Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, CB2 7EF, United Kingdom.,Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0SZ, United Kingdom
| | - Rachael A Lawson
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
| | - Gordon W Duncan
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Alison J Yarnall
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
| | - Tien K Khoo
- School of Medicine and Menzies Health Institute Queensland, Griffith University, QLD, 4222, Australia
| | - Marcus Kaiser
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.,Interdisciplinary Computing and Complex BioSystems (ICOS) research group, School of Computing Science, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom
| | - Michael J Firbank
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
| | - John T O'Brien
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.,Department of Psychiatry, University of Cambridge, Cambridge, CB2 0QC, United Kingdom
| | - Roger A Barker
- John van Geest Centre for Brain Repair, University of Cambridge, Cambridge, CB2 0PY, United Kingdom
| | - David J Brooks
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom.,Department of Nuclear Medicine, Institute of Clinical Medicine, Aarhus University, Aarhus C, Denmark
| | - David J Burn
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
| | - John-Paul Taylor
- Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, NE4 5PL, United Kingdom
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130
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Pan P, Zhan H, Xia M, Zhang Y, Guan D, Xu Y. Aberrant regional homogeneity in Parkinson's disease: A voxel-wise meta-analysis of resting-state functional magnetic resonance imaging studies. Neurosci Biobehav Rev 2016; 72:223-231. [PMID: 27916710 DOI: 10.1016/j.neubiorev.2016.11.018] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 11/07/2016] [Accepted: 11/21/2016] [Indexed: 12/14/2022]
Abstract
Studies of abnormal regional homogeneity (ReHo) in Parkinson's disease (PD) have reported inconsistent results. Therefore, we conducted a meta-analysis using the Seed-based d Mapping software package to identify the most consistent and replicable findings. A systematic literature search was performed to identify eligible whole-brain resting-state functional magnetic resonance imaging studies that had measured differences in ReHo between patients with PD and healthy controls between January 2000 and June 4, 2016. A total of ten studies reporting 11 comparisons (212 patients; 182 controls) were included. Increased ReHo was consistently identified in the bilateral inferior parietal lobules, bilateral medial prefrontal cortices, and left cerebellum of patients with PD when compared to healthy controls, while decreased ReHo was observed in the right putamen, right precentral gyrus, and left lingual gyrus. The results of the current meta-analysis demonstrate a consistent and coexistent pattern of impairment and compensation of intrinsic brain activity that predominantly involves the default mode and motor networks, which may advance our understanding of the pathophysiological mechanisms underlying PD.
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Affiliation(s)
- PingLei Pan
- Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, PR China; Department of Neurology, The Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - Hui Zhan
- Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, PR China
| | - MingXu Xia
- Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, PR China
| | - Yang Zhang
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - DeNing Guan
- Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China
| | - Yun Xu
- Department of Neurology, Drum Tower Hospital of Nanjing Medical University, Nanjing, PR China; Department of Neurology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, PR China; The State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, Jiangsu, PR China; Jiangsu Key Laboratory for Molecular Medicine, Nanjing University Medical School, Nanjing, Jiangsu, PR China; Jiangsu Province Stroke Center for Diagnosis and Therapy, Nanjing, PR China; Nanjing Neuropsychiatry Clinic Medical Center, Nanjing, PR China.
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131
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Koshimori Y, Cho SS, Criaud M, Christopher L, Jacobs M, Ghadery C, Coakeley S, Harris M, Mizrahi R, Hamani C, Lang AE, Houle S, Strafella AP. Disrupted Nodal and Hub Organization Account for Brain Network Abnormalities in Parkinson's Disease. Front Aging Neurosci 2016; 8:259. [PMID: 27891090 PMCID: PMC5102897 DOI: 10.3389/fnagi.2016.00259] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Accepted: 10/19/2016] [Indexed: 12/22/2022] Open
Abstract
The recent application of graph theory to brain networks promises to shed light on complex diseases such as Parkinson’s disease (PD). This study aimed to investigate functional changes in sensorimotor and cognitive networks in Parkinsonian patients, with a focus on inter- and intra-connectivity organization in the disease-associated nodal and hub regions using the graph theoretical analyses. Resting-state functional MRI data of a total of 65 participants, including 23 healthy controls (HCs) and 42 patients, were investigated in 120 nodes for local efficiency, betweenness centrality, and degree. Hub regions were identified in the HC and patient groups. We found nodal and hub changes in patients compared with HCs, including the right pre-supplementary motor area (SMA), left anterior insula, bilateral mid-insula, bilateral dorsolateral prefrontal cortex (DLPFC), and right caudate nucleus. In general, nodal regions within the sensorimotor network (i.e., right pre-SMA and right mid-insula) displayed weakened connectivity, with the former node associated with more severe bradykinesia, and impaired integration with default mode network regions. The left mid-insula also lost its hub properties in patients. Within the executive networks, the left anterior insular cortex lost its hub properties in patients, while a new hub region was identified in the right caudate nucleus, paralleled by an increased level of inter- and intra-connectivity in the bilateral DLPFC possibly representing compensatory mechanisms. These findings highlight the diffuse changes in nodal organization and regional hub disruption accounting for the distributed abnormalities across brain networks and the clinical manifestations of PD.
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Affiliation(s)
- Yuko Koshimori
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Sang-Soo Cho
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Marion Criaud
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Leigh Christopher
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Mark Jacobs
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Christine Ghadery
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Sarah Coakeley
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada
| | - Madeleine Harris
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto ON, Canada
| | - Romina Mizrahi
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto ON, Canada
| | - Clement Hamani
- Division of Neurosurgery, Toronto Western Hospital, University Health Network, University of Toronto, Toronto ON, Canada
| | - Anthony E Lang
- Morton and Gloria Shulman Movement Disorder Unit & E. J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto ON, Canada
| | - Sylvain Houle
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto ON, Canada
| | - Antonio P Strafella
- Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, TorontoON, Canada; Division of Brain, Imaging and Behaviour - Systems Neuroscience, Krembil Research Institute, University Health Network, University of Toronto, TorontoON, Canada; Morton and Gloria Shulman Movement Disorder Unit & E. J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, TorontoON, Canada
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132
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Brain Connectivity Changes in Autosomal Recessive Parkinson Disease: A Model for the Sporadic Form. PLoS One 2016; 11:e0163980. [PMID: 27788143 PMCID: PMC5082970 DOI: 10.1371/journal.pone.0163980] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 09/16/2016] [Indexed: 11/19/2022] Open
Abstract
Biallelic genetic mutations in the Park2 and PINK1 genes are frequent causes of autosomal recessive PD. Carriers of single heterozygous mutations may manifest subtle signs of disease, thus providing a unique model of preclinical PD. One emerging hypothesis suggests that non-motor symptom of PD, such as cognitive impairment may be due to a distributed functional disruption of various neuronal circuits. Using resting-state functional MRI (RS-fMRI), we tested the hypothesis that abnormal connectivity within and between brain networks may account for the patients' cognitive status. Eight homozygous and 12 heterozygous carriers of either PINK1 or Park2 mutation and 22 healthy controls underwent RS-fMRI and cognitive assessment. RS-fMRI data underwent independent component analysis to identify five networks of interest: default-mode network, salience network, executive network, right and left fronto-parietal networks. Functional connectivity within and between each network was assessed and compared between groups. All mutation carriers were cognitively impaired, with the homozygous group reporting a more prominent impairment in visuo-spatial working memory. Changes in functional connectivity were evident within all networks between homozygous carriers and controls. Also heterozygotes reported areas of reduced connectivity when compared to controls within two networks. Additionally, increased inter-network connectivity was observed in both groups of mutation carriers, which correlated with their spatial working memory performance, and could thus be interpreted as compensatory. We conclude that both homozygous and heterozygous carriers exhibit pathophysiological changes unveiled by RS-fMRI, which can account for the presence/severity of cognitive symptoms.
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133
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Lucas-Jiménez O, Ojeda N, Peña J, Díez-Cirarda M, Cabrera-Zubizarreta A, Gómez-Esteban JC, Gómez-Beldarrain MÁ, Ibarretxe-Bilbao N. Altered functional connectivity in the default mode network is associated with cognitive impairment and brain anatomical changes in Parkinson's disease. Parkinsonism Relat Disord 2016; 33:58-64. [PMID: 27659747 DOI: 10.1016/j.parkreldis.2016.09.012] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 09/02/2016] [Accepted: 09/09/2016] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To assess whether functional neural connectivity is disrupted between the regions of the default mode network (DMN) in Parkinson's disease (PD) and how this connectivity is related to cognition, brain gray matter structure and white matter integrity and diffusivity. METHODS Thirty-seven PD patients and 16 healthy controls were evaluated, using resting-state functional magnetic resonance imaging (MRI), T1-weighted MRI, diffusion-weighted imaging and a battery of cognitive tests. Functional connectivity between the regions of the DMN, specifically in the precuneus, anterior and posterior cingulate, medial prefrontal and temporal and inferior parietal cortices was assessed with seed-to-voxel connectivity; gray matter volume and white matter values were determined using voxel-based morphometry and tract-based spatial statistics. RESULTS Reduced functional connectivity was observed between the posterior cingulate and medial temporal lobe in PD. Lower cognitive performance, gray matter loss in posterior, medial temporal and parietal areas, and fractional anisotropy reduction in the white matter adjacent to DMN regions were also observed in PD patients compared with healthy controls. Lower DMN functional connectivity correlated with lower verbal and visual memory and visual abilities performance in PD. In addition, lower DMN functional connectivity correlated with lower gray matter volume in the posterior cingulate and precuneus, and with lower white matter fractional anisotropy of the inferior longitudinal and posterior cingulate fasciculi in PD. CONCLUSIONS By combining different neuroimaging techniques and cognitive data, results showed that functional connectivity alteration between the regions of the DMN is associated with lower cognitive performance and gray and white matter abnormalities in PD.
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Affiliation(s)
- Olaia Lucas-Jiménez
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Spain
| | - Natalia Ojeda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Spain
| | - Javier Peña
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Spain
| | - María Díez-Cirarda
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Spain
| | | | - Juan Carlos Gómez-Esteban
- Neurodegenerative Diseases Group, Biocruces Health Research Institute, University of Basque Country, Barakaldo, Spain
| | | | - Naroa Ibarretxe-Bilbao
- Department of Methods and Experimental Psychology, Faculty of Psychology and Education, University of Deusto, Bilbao, Spain.
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134
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Behavioural and neuroimaging correlates of impaired self-awareness of hypo- and hyperkinesia in Parkinson's disease. Cortex 2016; 82:35-47. [DOI: 10.1016/j.cortex.2016.05.019] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Revised: 02/29/2016] [Accepted: 05/31/2016] [Indexed: 02/06/2023]
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135
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Morgan J, Clark D, Tripodis Y, Halloran CS, Minsky A, Wildman WJ, Durso R, McNamara P. Impacts of religious semantic priming on an intertemporal discounting task: Response time effects and neural correlates. Neuropsychologia 2016; 89:403-413. [PMID: 27450269 DOI: 10.1016/j.neuropsychologia.2016.07.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Revised: 05/17/2016] [Accepted: 07/19/2016] [Indexed: 11/25/2022]
Abstract
The purpose of this study is to test the hypothesis that religious primes would influence intertemporal discounting behaviors in neurotypical older adults, but not in participants with Parkinson's disease (PD). Furthermore, we predicted that this priming effect would be related to functional connectivity within neural networks mediating religious cognition, decision-making, reward valuing, and prospection processes. Contrary to past research with young adults, we found a significant positive relationship between religiosity and discounting rates. Religious semantic primes did not reliably shift individual discounting rates. But religious controls did respond more quickly to intertemporal decisions under the religious priming condition than the neutral condition, compared to response time differences among the participants with PD. Differences in response time were significantly associated with functional connectivity between the nucleus accumbens and various regions, including the left anterior cingulate cortex and Brodmann areas 10 and 46 in the right dorsolateral prefrontal cortex. These results suggest that religious primes influence discounting behavior via dopaminergic meso-limbic and right dorsolateral prefrontal supporting cognitive valuation and prospection processes.
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Affiliation(s)
- Jonathan Morgan
- Graduate Division of Religious Studies, Boston University, Boston, MA, United States; Institute for the Bio-Cultural Study of Religion, Needham, MA, United States.
| | - Dustin Clark
- Veterans Affairs Boston Healthcare System, Boston, MA, United States
| | - Yorghos Tripodis
- School of Public Health, Boston University, Boston, MA, United States
| | - Christopher S Halloran
- Graduate Division of Religious Studies, Boston University, Boston, MA, United States; Institute for the Bio-Cultural Study of Religion, Needham, MA, United States
| | - April Minsky
- Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Wesley J Wildman
- Graduate Division of Religious Studies, Boston University, Boston, MA, United States; Institute for the Bio-Cultural Study of Religion, Needham, MA, United States
| | - Raymon Durso
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States
| | - Patrick McNamara
- Veterans Affairs Boston Healthcare System, Boston, MA, United States; Department of Neurology, Boston University School of Medicine, Boston, MA, United States; Institute for the Bio-Cultural Study of Religion, Needham, MA, United States; Graduate School, Northcentral University, United States
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136
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Altered Activation in Cerebellum Contralateral to Unilateral Thalamotomy May Mediate Tremor Suppression in Parkinson's Disease: A Short-Term Regional Homogeneity fMRI Study. PLoS One 2016; 11:e0157562. [PMID: 27310133 PMCID: PMC4910974 DOI: 10.1371/journal.pone.0157562] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 06/01/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Ventral intermediate nucleus thalamotomy is an effective treatment for Parkinson's disease tremor. However, its mechanism is still unclear. PURPOSE We used resting-state fMRI to investigate short-term ReHo changes after unilateral thalamotomy in tremor-dominant PD, and to speculate about its possible mechanism on tremor suppression. METHODS 26 patients and 31 healthy subjects (HS) were recruited. Patients were divided into two groups according to right- (rPD) and left-side (lPD) thalamotomy. Tremor was assessed using the 7-item scale from the Unified Parkinson's disease rating scale motor score (mUPDRS). Patients were scanned using resting state fMRI after 12h withdrawal of medication, both preoperatively (PDpre) and 7- day postoperatively (PDpost), whereas healthy subjects were scanned once. The regions associated with tremor and altered ReHo due to thalamic ablation were examined. RESULTS The impact of unilateral VIM thalamotomy was characterized in the frontal, parietal, temporal regions, basal ganglia, thalamus, and cerebellum. Compared with PDpre, significantly reduced ReHo was found in the left cerebellum in patients with rPDpost, and slightly decreased ReHo in the cerebellum vermis in patients with lPDpost, which was significantly higher than HS. We demonstrated a positive correlation between the ReHo values in the cerebellum (in rPD, peak coordinate [-12, -54, -21], R = 0.64, P = 0.0025, and peak coordinate [-9, -54, -18], R = 0.71, P = 0.0025; in lPD, peak coordinate [3, -45, -15], R = 0.71, P = 0.004) in the pre-surgical condition, changes of ReHo induced by thalamotomy (in rPD, R = 0.63, P = 0.021, R = 0.6, P = 0.009; in lPD, R = 0.58, P = 0.028) and tremor scores contralateral to the surgical side, respectively. CONCLUSION The specific area that may be associated with PD tremor and altered ReHo due to thalamic ablation is the cerebellum. The neural basis underlying thalamotomy is complex; cerebellum involvement is far beyond cerebello-thalamic tract breakage.
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137
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Tahmasian M, Rosenzweig I, Eickhoff SB, Sepehry AA, Laird AR, Fox PT, Morrell MJ, Khazaie H, Eickhoff CR. Structural and functional neural adaptations in obstructive sleep apnea: An activation likelihood estimation meta-analysis. Neurosci Biobehav Rev 2016; 65:142-56. [PMID: 27039344 PMCID: PMC5103027 DOI: 10.1016/j.neubiorev.2016.03.026] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2015] [Revised: 03/27/2016] [Accepted: 03/29/2016] [Indexed: 12/14/2022]
Abstract
The right basolateral amygdala, the hippocampus and the right insular cortex are important nodes in obstructive sleep apnea (OSA). Functional characterization of these regions suggested associated dysfunction of emotional, sensory, and limbic processes in OSA. Connectivity analysis demonstrated that these regions are part of a joint network comprising the anterior insula, posterior-medial frontal cortex and thalamus.
Obstructive sleep apnea (OSA) is a common multisystem chronic disorder. Functional and structural neuroimaging has been widely applied in patients with OSA, but these studies have often yielded diverse results. The present quantitative meta-analysis aims to identify consistent patterns of abnormal activation and grey matter loss in OSA across studies. We used PubMed to retrieve task/resting-state functional magnetic resonance imaging and voxel-based morphometry studies. Stereotactic data were extracted from fifteen studies, and subsequently tested for convergence using activation likelihood estimation. We found convergent evidence for structural atrophy and functional disturbances in the right basolateral amygdala/hippocampus and the right central insula. Functional characterization of these regions using the BrainMap database suggested associated dysfunction of emotional, sensory, and limbic processes. Assessment of task-based co-activation patterns furthermore indicated that the two regions obtained from the meta-analysis are part of a joint network comprising the anterior insula, posterior-medial frontal cortex and thalamus. Taken together, our findings highlight the role of right amygdala, hippocampus and insula in the abnormal emotional and sensory processing in OSA.
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Affiliation(s)
- Masoud Tahmasian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; National Brain Mapping Center, Shahid Beheshti University (General & Medical campus), Tehran, Iran
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College and Imperial College, London, UK
| | - Simon B Eickhoff
- Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany
| | - Amir A Sepehry
- Division of Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada.
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System,San Antonio, TX 78229, USA
| | - Mary J Morrell
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College and Imperial College, London, UK; Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK; NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, UK
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
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138
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Mirdamadi JL. Cerebellar role in Parkinson's disease. J Neurophysiol 2016; 116:917-9. [PMID: 26792889 DOI: 10.1152/jn.01132.2015] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Accepted: 01/20/2016] [Indexed: 11/22/2022] Open
Abstract
Parkinson's disease (PD) is a common neurodegenerative disorder associated with motor and cognitive impairments. The mechanisms underlying the pathophysiology and treatments have traditionally focused on basal ganglia-thalamo-cortical pathways due to striatal dopamine loss, but more recent evidence has highlighted the role of the cerebellum. In this Neuro Forum article, I review evidence from neuroimaging and noninvasive brain stimulation that demonstrates altered cerebellar activity in PD may be both a pathophysiological and compensatory mechanism depending on dopaminergic medication and symptoms.
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Affiliation(s)
- Jasmine L Mirdamadi
- Department of Kinesiology, School of Public Health, Indiana University, Bloomington, Indiana
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139
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Tahmasian M, Rochhausen L, Maier F, Williamson KL, Drzezga A, Timmermann L, Van Eimeren T, Eggers C. Impulsivity is Associated with Increased Metabolism in the Fronto-Insular Network in Parkinson's Disease. Front Behav Neurosci 2015; 9:317. [PMID: 26648853 PMCID: PMC4664667 DOI: 10.3389/fnbeh.2015.00317] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2015] [Accepted: 11/08/2015] [Indexed: 12/25/2022] Open
Abstract
Various neuroimaging studies demonstrated that the fronto-insular network is implicated in impulsive behavior. We compared glucose metabolism (as a proxy measure of neural activity) among 24 patients with Parkinson’s disease (PD) who presented with low or high levels of impulsivity based on the Barratt Impulsiveness Scale 11 (BIS) scores. Subjects underwent 18-fluorodeoxyglucose positron emission tomography (FDG-PET) and the voxel-wise group difference of FDG-metabolism was analyzed in Statistical Parametric Mapping (SPM8). Subsequently, we performed a partial correlation analysis between the FDG-metabolism and BIS scores, controlling for covariates (i.e., age, sex, severity of disease and levodopa equivalent daily doses). Voxel-wise group comparison revealed higher FDG-metabolism in the orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), and right insula in patients with higher impulsivity scores. Moreover, there was a positive correlation between the FDG-metabolism and BIS scores. Our findings provide evidence that high impulsivity is associated with increased FDG-metabolism within the fronto-insular network in PD.
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Affiliation(s)
- Masoud Tahmasian
- Department of Neurology, University Hospital of Cologne Cologne, Germany ; Department of Nuclear Medicine, University Hospital of Cologne Cologne, Germany ; Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS) Kermanshah, Iran
| | - Luisa Rochhausen
- Department of Neurology, University Hospital of Cologne Cologne, Germany
| | - Franziska Maier
- Department of Neurology, University Hospital of Cologne Cologne, Germany
| | - Kim L Williamson
- Department of Neurology, University Hospital of Cologne Cologne, Germany
| | - Alexander Drzezga
- Department of Nuclear Medicine, University Hospital of Cologne Cologne, Germany
| | - Lars Timmermann
- Department of Neurology, University Hospital of Cologne Cologne, Germany
| | - Thilo Van Eimeren
- Department of Neurology, University Hospital of Cologne Cologne, Germany ; Department of Nuclear Medicine, University Hospital of Cologne Cologne, Germany
| | - Carsten Eggers
- Department of Neurology, University Hospital of Cologne Cologne, Germany
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140
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Tahmasian M, Shao J, Meng C, Grimmer T, Diehl-Schmid J, Yousefi BH, Förster S, Riedl V, Drzezga A, Sorg C. Based on the Network Degeneration Hypothesis: Separating Individual Patients with Different Neurodegenerative Syndromes in a Preliminary Hybrid PET/MR Study. J Nucl Med 2015; 57:410-5. [DOI: 10.2967/jnumed.115.165464] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Accepted: 10/29/2015] [Indexed: 12/19/2022] Open
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