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Oh Y, Kim JS, Lyoo CH, Park G, Kim H. Spatiotemporal Progression Patterns of Dopamine Availability and Deep Gray Matter Volume in Parkinson Disease-Related Cognitive Impairment. Neurology 2024; 103:e209498. [PMID: 38885485 DOI: 10.1212/wnl.0000000000209498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cognitive impairment is a frequent nonmotor symptom in patients with Parkinson disease (PD), and early cognitive decline is often attributed to dopaminergic system dysfunction. We aimed to explore spatiotemporal progression patterns of striatal dopamine availability and regional brain volume based on cognitive status among patients with PD. METHODS This retrospective, cross-sectional study included patients with newly diagnosed PD who were not taking medication for this condition who visited a university-affiliated hospital in Seoul between January 2018 and December 2020. Patients were classified as having normal cognition (PD-NC), mild cognitive impairment (PD-MCI), or PD dementia (PDD) based on Seoul Neuropsychological Screening Battery-II, which includes 31 subsets covering activities of daily living and 5 cognitive domains. They all had brain imaging with MRI and PET with 18F-N-(3-fluoropropyl)-2beta-carbon ethoxy-3beta-(4-iodophenyl) nortropane at baseline. Subsequently, standardized uptake value ratios (SUVRs) for regional dopamine availability and regional gray matter volumes were obtained using automated segmentation. These metrics were compared across cognitive status groups, and spatiotemporal progression patterns were analyzed using the Subtype and Stage Inference machine learning technique. RESULTS Among 168 patients (mean age, 73.3 ± 6.1 years; 81 [48.2%] women), 65 had PD-NC, 65 had PD-MCI, and 38 had PDD. Patients with PD-MCI exhibited lower SUVRs (3.61 ± 1.31, p < 0.001) in the caudate than patients with PD-NC (4.43 ± 1.21) but higher SUVRs than patients with PDD (2.39 ± 1.06). Patients with PD-NC had higher thalamic SUVRs (1.55 ± 0.16, p < 0.001) than patients with both PD-MCI (1.45 ± 0.16) and PDD (1.38 ± 0.19). Regional deep gray matter volumes of the caudate (p = 0.015), putamen (p = 0.012), globus pallidus (p < 0.001), thalamus (p < 0.001), hippocampus (p < 0.001), and amygdala (p < 0.001) were more reduced in patients with PD-MCI or PDD than in patients with PD-NC, and the SUVR of the caudate correlated with caudate volume (r = 0.187, p = 0.015). Hippocampal atrophy was the initial change influencing cognitive impairment. The reduced dopamine availability of the thalamus preceded reductions in volume across most deep gray matter regions. DISCUSSION Our finding underscores the association between decreased dopamine availability and volume of the caudate and thalamus with cognitive dysfunction in PD. The dopamine availability of the caudate and thalamus was reduced before the volume of the caudate and thalamus was decreased, highlighting the spatiotemporal association between dopaminergic and structural pathology in cognitive impairment in PD.
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Affiliation(s)
- Yoonsang Oh
- From the Department of Neurology (Y.O., J.-S.K.), College of Medicine, The Catholic University of Korea; Department of Neurology (C.H.L.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; and USC Stevens Neuroimaging and Informatics Institute (G.P., H.K.), Keck School of Medicine, University of Southern California, Los Angeles
| | - Joong-Seok Kim
- From the Department of Neurology (Y.O., J.-S.K.), College of Medicine, The Catholic University of Korea; Department of Neurology (C.H.L.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; and USC Stevens Neuroimaging and Informatics Institute (G.P., H.K.), Keck School of Medicine, University of Southern California, Los Angeles
| | - Chul Hyoung Lyoo
- From the Department of Neurology (Y.O., J.-S.K.), College of Medicine, The Catholic University of Korea; Department of Neurology (C.H.L.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; and USC Stevens Neuroimaging and Informatics Institute (G.P., H.K.), Keck School of Medicine, University of Southern California, Los Angeles
| | - Gilsoon Park
- From the Department of Neurology (Y.O., J.-S.K.), College of Medicine, The Catholic University of Korea; Department of Neurology (C.H.L.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; and USC Stevens Neuroimaging and Informatics Institute (G.P., H.K.), Keck School of Medicine, University of Southern California, Los Angeles
| | - Hosung Kim
- From the Department of Neurology (Y.O., J.-S.K.), College of Medicine, The Catholic University of Korea; Department of Neurology (C.H.L.), Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea; and USC Stevens Neuroimaging and Informatics Institute (G.P., H.K.), Keck School of Medicine, University of Southern California, Los Angeles
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Caballero HS, McFall GP, Gee M, MacDonald S, Phillips NA, Fogarty J, Montero-Odasso M, Camicioli R, Dixon RA. Cognitive Speed in Neurodegenerative Disease: Comparing Mean Rate and Inconsistency Within and Across the Alzheimer's and Lewy Body Spectra in the COMPASS-ND Study. J Alzheimers Dis 2024:JAD240210. [PMID: 38875040 DOI: 10.3233/jad-240210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
Background Alzheimer's disease (AD) and Lewy body disease (LBD) are characterized by early and gradual worsening perturbations in speeded cognitive responses. Objective Using simple and choice reaction time tasks, we compared two indicators of cognitive speed within and across the AD and LBD spectra: mean rate (average reaction time across trials) and inconsistency (within person variability). Methods The AD spectrum cohorts included subjective cognitive impairment (SCI, n = 28), mild cognitive impairment (MCI, n = 121), and AD (n = 45) participants. The LBD spectrum included Parkinson's disease (PD, n = 32), mild cognitive impairment in PD (PD-MCI, n = 21), and LBD (n = 18) participants. A cognitively unimpaired (CU, n = 39) cohort served as common benchmark. We conducted multivariate analyses of variance and discrimination analyses. Results Within the AD spectrum, the AD cohort was slower and more inconsistent than the CU, SCI, and MCI cohorts. The MCI cohort was slower than the CU cohort. Within the LBD spectrum, the LBD cohort was slower and more inconsistent than the CU, PD, and PD-MCI cohorts. The PD-MCI cohort was slower than the CU and PD cohorts. In cross-spectra (corresponding cohort) comparisons, the LBD cohort was slower and more inconsistent than the AD cohort. The PD-MCI cohort was slower than the MCI cohort. Discrimination analyses clarified the group difference patterns. Conclusions For both speed tasks, mean rate and inconsistency demonstrated similar sensitivity to spectra-related comparisons. Both dementia cohorts were slower and more inconsistent than each of their respective non-dementia cohorts.
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Affiliation(s)
- H Sebastian Caballero
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
| | - G Peggy McFall
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
| | - Myrlene Gee
- Department of Medicine (Neurology), University of Alberta, Edmonton, AB, Canada
| | - Stuart MacDonald
- Department of Psychology, University of Victoria, Victoria, BC, Canada
| | | | | | | | - Richard Camicioli
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Medicine (Neurology), University of Alberta, Edmonton, AB, Canada
| | - Roger A Dixon
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada
- Department of Psychology, University of Alberta, Edmonton, AB, Canada
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Wang C, Liang J, Deng Q. Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor. Neural Netw 2024; 178:106408. [PMID: 38833751 DOI: 10.1016/j.neunet.2024.106408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 05/03/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024]
Abstract
Memristor and activation function are two important nonlinear factors of the memristive Hopfield neural network. The effects of different memristors on the dynamics of Hopfield neural networks have been studied by many researchers. However, less attention has been paid to the activation function. In this paper, we present a heterogeneous memristive Hopfield neural network with neurons using different activation functions. The activation functions include fixed activation functions and an adaptive activation function, where the adaptive activation function is based on a memristor. The theoretical and experimental study of the neural network's dynamics has been conducted using phase portraits, bifurcation diagrams, and Lyapunov exponents spectras. Numerical results show that complex dynamical behaviors such as multi-scroll chaos, transient chaos, state jumps and multi-type coexisting attractors can be observed in the heterogeneous memristive Hopfield neural network. In addition, the hardware implementation of memristive Hopfield neural network with adaptive activation function is designed and verified. The experimental results are in good agreement with those obtained using numerical simulations.
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Affiliation(s)
- Chunhua Wang
- College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China; Greater Bay Area Institute for Innovation, Hunan University, Guangzhou, 511300, China.
| | - Junhui Liang
- College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China
| | - Quanli Deng
- College of Computer Science and Electronic Engineering, Hunan University, Changsha, 410082, China
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Crowley SJ, Kanel P, Roytman S, Bohnen NI, Hampstead BM. Basal forebrain integrity, cholinergic innervation and cognition in idiopathic Parkinson's disease. Brain 2024; 147:1799-1808. [PMID: 38109781 PMCID: PMC11068112 DOI: 10.1093/brain/awad420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/12/2023] [Accepted: 12/02/2023] [Indexed: 12/20/2023] Open
Abstract
Most individuals with Parkinson's disease experience cognitive decline. Mounting evidence suggests this is partially caused by cholinergic denervation due to α-synuclein pathology in the cholinergic basal forebrain. Alpha-synuclein deposition causes inflammation, which can be measured with free water fraction, a diffusion MRI-derived metric of extracellular water. Prior studies have shown an association between basal forebrain integrity and cognition, cholinergic levels and cognition, and basal forebrain volume and acetylcholine, but no study has directly investigated whether basal forebrain physiology mediates the relationship between acetylcholine and cognition in Parkinson's disease. We investigated the relationship between these variables in a cross-sectional analysis of 101 individuals with Parkinson's disease. Cholinergic levels were measured using fluorine-18 fluoroethoxybenzovesamicol (18F-FEOBV) PET imaging. Cholinergic innervation regions of interest included the medial, lateral capsular and lateral perisylvian regions and the hippocampus. Brain volume and free water fraction were quantified using T1 and diffusion MRI, respectively. Cognitive measures included composites of attention/working memory, executive function, immediate memory and delayed memory. Data were entered into parallel mediation analyses with the cholinergic projection areas as predictors, cholinergic basal forebrain volume and free water fraction as mediators and each cognitive domain as outcomes. All mediation analyses controlled for age, years of education, levodopa equivalency dose and systolic blood pressure. The basal forebrain integrity metrics fully mediated the relationship between lateral capsular and lateral perisylvian acetylcholine and attention/working memory, and partially mediated the relationship between medial acetylcholine and attention/working memory. Basal forebrain integrity metrics fully mediated the relationship between medial, lateral capsular and lateral perisylvian acetylcholine and free water fraction. For all mediations in attention/working memory and executive function, the free water mediation was significant, while the volume mediation was not. The basal forebrain integrity metrics fully mediated the relationship between hippocampal acetylcholine and delayed memory and partially mediated the relationship between lateral capsular and lateral perisylvian acetylcholine and delayed memory. The volume mediation was significant for the hippocampal and lateral perisylvian models, while free water fraction was not. Free water fraction in the cholinergic basal forebrain mediated the relationship between acetylcholine and attention/working memory and executive function, while cholinergic basal forebrain volume mediated the relationship between acetylcholine in temporal regions in memory. These findings suggest that these two metrics reflect different stages of neurodegenerative processes and add additional evidence for a relationship between pathology in the basal forebrain, acetylcholine denervation and cognitive decline in Parkinson's disease.
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Affiliation(s)
- Samuel J Crowley
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48105, USA
- Mental Health Service, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Prabesh Kanel
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
- Parkinson’s Foundation Center of Excellence, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stiven Roytman
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
| | - Nicolaas I Bohnen
- Department of Radiology, University of Michigan, Ann Arbor, MI 48105, USA
- Morris K. Udall Center of Excellence for Parkinson’s Disease Research, University of Michigan, Ann Arbor, MI 48105, USA
- Parkinson’s Foundation Center of Excellence, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
- Neurology Service and GRECC, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
| | - Benjamin M Hampstead
- Research Program on Cognition and Neuromodulation Based Interventions, Department of Psychiatry, University of Michigan, Ann Arbor, MI 48105, USA
- Mental Health Service, Veterans Administration Ann Arbor Healthcare System, Ann Arbor, MI 48105, USA
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Husain M. Cholinergic and noradrenergic aspects of Parkinson's disease. Brain 2024; 147:1113-1114. [PMID: 38574284 PMCID: PMC10994521 DOI: 10.1093/brain/awae072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
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Yang H, Yang X, Yan S. A dynamic computational model of the parallel circuit on the basal ganglia-cortex associated with Parkinson's disease dementia. BIOLOGICAL CYBERNETICS 2024; 118:127-143. [PMID: 38644417 DOI: 10.1007/s00422-024-00988-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 03/26/2024] [Indexed: 04/23/2024]
Abstract
The cognitive impairment will gradually appear over time in Parkinson's patients, which is closely related to the basal ganglia-cortex network. This network contains two parallel circuits mediated by putamen and caudate nucleus, respectively. Based on the biophysical mean-field model, we construct a dynamic computational model of the parallel circuit in the basal ganglia-cortex network associated with Parkinson's disease dementia. The simulated results show that the decrease of power ratio in the prefrontal cortex is mainly caused by dopamine depletion in the caudate nucleus and is less related to that in the putamen, which indicates Parkinson's disease dementia may be caused by a lesion of the caudate nucleus rather than putamen. Furthermore, the underlying dynamic mechanism behind the decrease of power ratio is investigated by bifurcation analysis, which demonstrates that the decrease of power ratio is due to the change of brain discharge pattern from the limit cycle mode to the point attractor mode. More importantly, the spatiotemporal course of dopamine depletion in Parkinson's disease patients is well simulated, which states that with the loss of dopaminergic neurons projecting to the striatum, motor dysfunction of Parkinson's disease is first observed, whereas cognitive impairment occurs after a period of onset of motor dysfunction. These results are helpful to understand the pathogenesis of cognitive impairment and provide insights into the treatment of Parkinson's disease dementia.
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Affiliation(s)
- Hao Yang
- School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, People's Republic of China
| | - XiaoLi Yang
- School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, People's Republic of China.
| | - SiLu Yan
- School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, 710062, People's Republic of China
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Akhtar A, Singh S, Kaushik R, Awasthi R, Behl T. Types of memory, dementia, Alzheimer's disease, and their various pathological cascades as targets for potential pharmacological drugs. Ageing Res Rev 2024; 96:102289. [PMID: 38582379 DOI: 10.1016/j.arr.2024.102289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 03/30/2024] [Accepted: 03/30/2024] [Indexed: 04/08/2024]
Abstract
Alzheimer's disease (AD) is the most common type of dementia accounting for 90% of cases; however, frontotemporal dementia, vascular dementia, etc. prevails only in a minority of populations. The term dementia is defined as loss of memory which further takes several other categories of memories like working memory, spatial memory, fear memory, and long-term, and short-term memory into consideration. In this review, these memories have critically been elaborated based on context, duration, events, appearance, intensity, etc. The most important part and purpose of the review is the various pathological cascades as well as molecular levels of targets of AD, which have extracellular amyloid plaques and intracellular hyperphosphorylated tau protein as major disease hallmarks. There is another phenomenon that either leads to or arises from the above-mentioned hallmarks, such as oxidative stress, mitochondrial dysfunction, neuroinflammation, cholinergic dysfunction, and insulin resistance. Several potential drugs like antioxidants, anti-inflammatory drugs, acetylcholinesterase inhibitors, insulin mimetics or sensitizers, etc. studied in various previous preclinical or clinical reports were put as having the capacity to act on these pathological targets. Additionally, agents directly or indirectly targeting amyloid and tau were also discussed. This could be further investigated in future research.
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Affiliation(s)
- Ansab Akhtar
- Louisiana State University Health Sciences Center, Neuroscience Center of Excellence, School of Medicine, New Orleans, LA 70112, USA.
| | - Siddharth Singh
- School of Health Sciences & Technology, UPES University, Bidholi, Dehradun, Uttarakhand 248007, India
| | - Ravinder Kaushik
- School of Health Sciences & Technology, UPES University, Bidholi, Dehradun, Uttarakhand 248007, India
| | - Rajendra Awasthi
- School of Health Sciences & Technology, UPES University, Bidholi, Dehradun, Uttarakhand 248007, India
| | - Tapan Behl
- Amity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab 140306, India
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Kim JS, Hong SB, Park KW, Lee ATC. Psychotic Symptoms in Patients With Major Neurological Diseases. J Clin Neurol 2024; 20:153-165. [PMID: 38433485 PMCID: PMC10921039 DOI: 10.3988/jcn.2023.0501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 12/28/2023] [Accepted: 12/30/2023] [Indexed: 03/05/2024] Open
Abstract
Neurological diseases often manifest with neuropsychiatric symptoms such as depression, emotional incontinence, anger, apathy and fatigue. In addition, affected patients may also experience psychotic symptoms such as hallucinations and delusions. Various factors contribute to the development of psychotic symptoms, and the mechanisms of psychosis are similar, but still differ among various neurological diseases. Although psychotic symptoms are uncommon, and have been less well investigated, they may annoy patients and their families as well as impair the patients' quality of life and increase the caregiver burden. Therefore, we need to appropriately identify and treat these psychotic symptoms in patients with neurological diseases.
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Affiliation(s)
- Jong S Kim
- Department of Neurology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
| | - Seung-Bong Hong
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Keun-Woo Park
- Department of Neurology, Korea University Anam Hospital, Seoul, Korea
| | - Allen T C Lee
- Department of Psychiatry, Faculty of Medicine, Chinese University of Hong Kong, Hong Kong, China
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Yang Y, Yan Z, Chang W, Ding J, Xu H. Effect of different modalities of transcranial magnetic stimulation on Parkinson's patients cognitive impairment and long-term effectiveness: a systematic review and network meta-analysis. Front Neurosci 2024; 18:1354864. [PMID: 38495111 PMCID: PMC10940328 DOI: 10.3389/fnins.2024.1354864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024] Open
Abstract
Objective This study used network Meta-analysis to compare the effects of different transcranial magnetic stimulation (TMS) modalities on the effectiveness and long-term validity of improving cognitive function in Parkinson's patients. Methods Computer searches of the Cochrane Library, PubMed, Web of Science, Embass, CNKI and Wanfang Data were conducted to collect randomized controlled clinical studies on TMS to improve cognitive function in Parkinson's patients published from the time of library construction to December 2023. Results A total of 22 studies and 1,473 patients were included, comprising 5 interventions: high frequency repetitive transcranial magnetic stimulation (HF-rTMS), low frequency repetitive transcranial magnetic stimulation (LF-rTMS), intermittent theta burst stimulation (iTBS), sham stimulation and conventional rehabilitation therapy (CRT). Network Meta-analysis showed that the ranking results of different TMS intervention modalities in terms of MoCA scores were: HF-rTMS > LF-rTMS > iTBS > sham > CRT, the ranking results of different TMS intervention modalities in terms of MMSE scores were: HF-rTMS > LF-rTMS > sham > CRT. The effect of TMS on improving Parkinsonian cognitive function lasted for 1 month compared to the no-stimulation group. Conclusion TMS has some long-term sustained effects on improving cognitive function in Parkinson's patients. HF-rTMS is more effective in improving cognitive function in Parkinson's patients.Systematic review registration: https://www.crd.york.ac.uk/PROSPERO, identifier: CRD42023463958.
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Affiliation(s)
- Yulin Yang
- College of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Zhenyang Yan
- Weifang Hospital of Traditional Chinese Medicine, Weifang, China
| | - Wanpeng Chang
- College of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jiangtao Ding
- College of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Hongli Xu
- College of Rehabilitation Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
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Chen Z, He C, Zhang P, Cai X, Li X, Huang W, Huang S, Cai M, Wang L, Zhan P, Zhang Y. Brain network centrality and connectivity are associated with clinical subtypes and disease progression in Parkinson's disease. Brain Imaging Behav 2024:10.1007/s11682-024-00862-1. [PMID: 38337128 DOI: 10.1007/s11682-024-00862-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/30/2024] [Indexed: 02/12/2024]
Abstract
To investigate brain network centrality and connectivity alterations in different Parkinson's disease (PD) clinical subtypes using resting-state functional magnetic resonance imaging (RS-fMRI), and to explore the correlation between baseline connectivity changes and the clinical progression. Ninety-two PD patients were enrolled at baseline, alongside 38 age- and sex-matched healthy controls. Of these, 85 PD patients underwent longitudinal assessments with a mean of 2.75 ± 0.59 years. Two-step cluster analysis integrating comprehensive motor and non-motor manifestations was performed to define PD subtypes. Degree centrality (DC) and secondary seed-based functional connectivity (FC) were applied to identify brain network centrality and connectivity changes among groups. Regression analysis was used to explore the correlation between baseline connectivity changes and clinical progression. Cluster analysis identified two main PD subtypes: mild PD and moderate PD. Two different subtypes within the mild PD were further identified: mild motor-predominant PD and mild-diffuse PD. Accordingly, the disrupted DC and seed-based FC in the left inferior frontal orbital gyrus and left superior occipital gyrus were severe in moderate PD. The DC and seed-based FC alterations in the right gyrus rectus and right postcentral gyrus were more severe in mild-diffuse PD than in mild motor-predominant PD. Moreover, disrupted DC were associated with clinical manifestations at baseline in patients with PD and predicted motor aspects progression over time. Our study suggested that brain network centrality and connectivity changes were different among PD subtypes. RS-fMRI holds promise to provide an objective assessment of subtype-related connectivity changes and predict disease progression in PD.
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Affiliation(s)
- Zhenzhen Chen
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Department of Neurology, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, China
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Chentao He
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China
| | - Piao Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Xin Cai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Xiaohong Li
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Wenlin Huang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Sifei Huang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Mengfei Cai
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lijuan Wang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China
| | - Peiyan Zhan
- Department of Neurology, Tongji Medical College, The Central Hospital of Wuhan, Huazhong University of Science and Technology, Wuhan, 430014, China
| | - Yuhu Zhang
- Department of Neurology, Guangdong Neuroscience Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, No. 106 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, China.
- Guangzhou Key Laboratory of Diagnosis and Treatment for Neurodegenerative Diseases, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
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Cano LA, Albarracín AL, Pizá AG, García-Cena CE, Fernández-Jover E, Farfán FD. Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases. SENSORS (BASEL, SWITZERLAND) 2024; 24:1089. [PMID: 38400247 PMCID: PMC10893317 DOI: 10.3390/s24041089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 09/04/2023] [Accepted: 02/05/2024] [Indexed: 02/25/2024]
Abstract
Neurodegenerative diseases (NDs), such as Alzheimer's, Parkinson's, amyotrophic lateral sclerosis, and frontotemporal dementia, among others, are increasingly prevalent in the global population. The clinical diagnosis of these NDs is based on the detection and characterization of motor and non-motor symptoms. However, when these diagnoses are made, the subjects are often in advanced stages where neuromuscular alterations are frequently irreversible. In this context, we propose a methodology to evaluate the cognitive workload (CWL) of motor tasks involving decision-making processes. CWL is a concept widely used to address the balance between task demand and the subject's available resources to complete that task. In this study, multiple models for motor planning during a motor decision-making task were developed by recording EEG and EMG signals in n=17 healthy volunteers (9 males, 8 females, age 28.66±8.8 years). In the proposed test, volunteers have to make decisions about which hand should be moved based on the onset of a visual stimulus. We computed functional connectivity between the cortex and muscles, as well as among muscles using both corticomuscular and intermuscular coherence. Despite three models being generated, just one of them had strong performance. The results showed two types of motor decision-making processes depending on the hand to move. Moreover, the central processing of decision-making for the left hand movement can be accurately estimated using behavioral measures such as planning time combined with peripheral recordings like EMG signals. The models provided in this study could be considered as a methodological foundation to detect neuromuscular alterations in asymptomatic patients, as well as to monitor the process of a degenerative disease.
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Affiliation(s)
- Leonardo Ariel Cano
- Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina
| | - Ana Lía Albarracín
- Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina
| | - Alvaro Gabriel Pizá
- Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina
| | - Cecilia Elisabet García-Cena
- ETSIDI-Center for Automation and Robotics, Universidad Politécnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain
| | - Eduardo Fernández-Jover
- Institute of Bioengineering, Universidad Miguel Hernández of Elche, 03202 Elche, Spain
- Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
| | - Fernando Daniel Farfán
- Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina
- Institute of Bioengineering, Universidad Miguel Hernández of Elche, 03202 Elche, Spain
- Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain
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12
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Yoo SW, Oh YS, Ryu DW, Ha S, Lyoo CH, Kim Y, Yoo JY, Kim JS. Cardiac sympathetic "morbidity" might reflect the neurobiology of early Parkinson's disease. J Neurol 2024; 271:944-954. [PMID: 37864716 DOI: 10.1007/s00415-023-12049-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND An appropriate extracranial biomarker that delineates endophenotypes of Parkinson's disease (PD) at an early stage and reflects the neurodegenerative process is lacking. An evaluation of myocardial sympathetic nerve terminals could be a good candidate. This study aimed to explore subtypes of PD patients that showed cardiac catecholaminergic vesicular defect and their characteristics. METHODS This study included 122 early drug-naïve PD patients who were followed for approximately 4-5 years. All patients were examined with 18F-N-(3-fluoropropyl)-2beta-carbon ethoxy-3beta-(4-iodophenyl) nortropane positron-emission tomography and 123I-meta-iodobenzylguanidine myocardial scintigraphy. Cardiac scans were reexamined two or three times. Patients were subgrouped into the sympathetic denervated group at the initial scan, those without evidence of denervated myocardium in the first and subsequent scans, and the converters whose myocardium was initially normal but became impaired in the subsequent scans. Cognition in 99 patients was initially assessed with neuropsychological tests. Any associations between cardiac denervation subtypes and presynaptic dopamine transporter densities were investigated. Cognitive status relevant to cardiac sympathetic denervation status was evaluated. RESULTS This study found that cross-sectional comparisons of presynaptic monoamine transporter availability with a predefined order of cardiac denervation groups revealed parallel degeneration. A quadratic correlation between cardiac catecholamine capacity and cognition was observed. This association was interpreted to reflect the early neurobiology of PD. CONCLUSION An observed cardiac catecholaminergic gradient was to mirror the central neurobiology of early PD.
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Affiliation(s)
- Sang-Won Yoo
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Yoon-Sang Oh
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Dong-Woo Ryu
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Seunggyun Ha
- Division of Nuclear Medicine, Department of Radiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yuna Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Ji-Yeon Yoo
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Joong-Seok Kim
- Department of Neurology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
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Gupta S, Khan J, Ghosh S. Molecular mechanism of cognitive impairment associated with Parkinson's disease: A stroke perspective. Life Sci 2024; 337:122358. [PMID: 38128756 DOI: 10.1016/j.lfs.2023.122358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 12/03/2023] [Accepted: 12/13/2023] [Indexed: 12/23/2023]
Abstract
Parkinson's disease (PD) is a common neurological illness that causes several motor and non-motor symptoms, most characteristically limb tremors and bradykinesia. PD is a slowly worsening disease that arises due to progressive neurodegeneration of specific areas of the brain, especially the substantia nigra of the midbrain. Even though PD has continuously been linked to a higher mortality risk in numerous epidemiologic studies, there have been significant discoveries regarding the connection between PD and stroke. The incidence of strokes such as cerebral infarction and hemorrhage is substantially associated with the development of PD. Moreover, cognitive impairments, primarily dementia, have been associated with stroke and PD. However, the underlying molecular mechanism of this phenomenon is still obscure. This concise review focuses on the relationship between stroke and PD, emphasizing the molecular mechanism of cognition deficit and memory loss evident in PD and stroke. Furthermore, we are also highlighting some potential drug molecules that can target both PD and stroke.
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Affiliation(s)
- Sanju Gupta
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur (IIT-Jodhpur), Rajasthan 342037, India
| | - Juhee Khan
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur (IIT-Jodhpur), Rajasthan 342037, India
| | - Surajit Ghosh
- Department of Bioscience & Bioengineering, Indian Institute of Technology Jodhpur (IIT-Jodhpur), Rajasthan 342037, India.
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14
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Zhang L, Zhang P, Dong Q, Zhao Z, Zheng W, Zhang J, Hu X, Yao Z, Hu B. Fine-grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive-deficit subtype. CNS Neurosci Ther 2024; 30:e14480. [PMID: 37849445 PMCID: PMC10805398 DOI: 10.1111/cns.14480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 10/19/2023] Open
Abstract
AIMS To extract vertex-wise features of the hippocampus and amygdala in Parkinson's disease (PD) with mild cognitive impairment (MCI) and normal cognition (NC) and further evaluate their discriminatory efficacy. METHODS High-resolution 3D-T1 data were collected from 68 PD-MCI, 211 PD-NC, and 100 matched healthy controls (HC). Surface geometric features were captured using surface conformal representation, and surfaces were registered to a common template using fluid registration. The statistical tests were performed to detect differences between groups. The disease-discriminatory ability of features was also tested in the ensemble classifiers. RESULTS The amygdala, not the hippocampus, showed significant overall differences among the groups. Compared with PD-NC, the right amygdala in MCI patients showed expansion (anterior cortical, anterior amygdaloid, and accessory basal areas) and atrophy (basolateral ventromedial area) subregions. There was notable atrophy in the right CA1 and hippocampal subiculum of PD-MCI. The accuracy of classifiers with multivariate morphometry statistics as features exceeded 85%. CONCLUSION PD-MCI is associated with multiscale morphological changes in the amygdala, as well as subtle atrophy in the hippocampus. These novel metrics demonstrated the potential to serve as biomarkers for PD-MCI diagnosis. Overall, these findings from this study help understand the role of subcortical structures in the neuropathological mechanisms of PD cognitive impairment.
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Affiliation(s)
- Lingyu Zhang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and EngineeringLanzhou UniversityLanzhouChina
| | - Pengfei Zhang
- Department of Magnetic ResonanceLanzhou University Second HospitalLanzhouChina
- Gansu Province Clinical Research Center for Functional and Molecular ImagingLanzhouChina
| | - Qunxi Dong
- School of Medical TechnologyBeijing Institute of TechnologyBeijingChina
| | - Ziyang Zhao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and EngineeringLanzhou UniversityLanzhouChina
| | - Weihao Zheng
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and EngineeringLanzhou UniversityLanzhouChina
| | - Jing Zhang
- Department of Magnetic ResonanceLanzhou University Second HospitalLanzhouChina
- Gansu Province Clinical Research Center for Functional and Molecular ImagingLanzhouChina
| | - Xiping Hu
- School of Medical TechnologyBeijing Institute of TechnologyBeijingChina
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and EngineeringLanzhou UniversityLanzhouChina
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and EngineeringLanzhou UniversityLanzhouChina
- School of Medical TechnologyBeijing Institute of TechnologyBeijingChina
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai Institutes for Biological SciencesChinese Academy of SciencesShanghaiChina
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of SemiconductorsChinese Academy of SciencesLanzhouChina
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15
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Delgado-Alvarado M, Ferrer-Gallardo VJ, Paz-Alonso PM, Caballero-Gaudes C, Rodríguez-Oroz MC. Interactions between functional networks in Parkinson's disease mild cognitive impairment. Sci Rep 2023; 13:20162. [PMID: 37978215 PMCID: PMC10656530 DOI: 10.1038/s41598-023-46991-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/07/2023] [Indexed: 11/19/2023] Open
Abstract
The study of mild cognitive impairment (MCI) is critical to understand the underlying processes of cognitive decline in Parkinson's disease (PD). Functional connectivity (FC) disruptions in PD-MCI patients have been observed in several networks. However, the functional and cognitive changes associated with the disruptions observed in these networks are still unclear. Using a data-driven methodology based on independent component analysis, we examined differences in FC RSNs among PD-MCI, PD cognitively normal patients (PD-CN) and healthy controls (HC) and studied their associations with cognitive and motor variables. A significant difference was found between PD-MCI vs PD-CN and HC in a FC-trait comprising sensorimotor (SMN), dorsal attention (DAN), ventral attention (VAN) and frontoparietal (FPN) networks. This FC-trait was associated with working memory, memory and the UPDRS motor scale. SMN involvement in verbal memory recall may be related with the FC-trait correlation with memory deficits. Meanwhile, working memory impairment may be reflected in the DAN, VAN and FPN interconnectivity disruptions with the SMN. Furthermore, interactions between the SMN and the DAN, VAN and FPN network reflect the intertwined decline of motor and cognitive abilities in PD-MCI. Our findings suggest that the memory impairments observed in PD-MCI are associated with reduced FC within the SMN and between SMN and attention networks.
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Affiliation(s)
- Manuel Delgado-Alvarado
- Neurology Service, Hospital Sierrallana, 39300, Torrelavega, Spain
- Neurodegenerative Disorders Research Group, University Hospital Marqués de Valdecilla-IDIVAL, 39008, Cantabria, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CINERNED), Madrid, Spain
| | | | - Pedro M Paz-Alonso
- Basque Center on Cognition Brain and Language (BCBL), 20009, San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, 48009, Bilbao, Spain
| | | | - María C Rodríguez-Oroz
- Neurology Department, Clínica Universidad de Navarra, Av. de Pío XII, 36, 31008, Pamplona, Navarra, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
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16
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Mizutani Y, Ohdake R, Tatebe H, Higashi A, Shima S, Ueda A, Ito M, Tokuda T, Watanabe H. Associations of Alzheimer's-related plasma biomarkers with cognitive decline in Parkinson's disease. J Neurol 2023; 270:5461-5474. [PMID: 37480401 PMCID: PMC10576723 DOI: 10.1007/s00415-023-11875-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/24/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is associated with cognitive decline through multiple mechanisms, including Alzheimer's disease (AD) pathology and cortical Lewy body involvement. However, its underlying mechanisms remain unclear. Recently, AD-related plasma biomarkers have emerged as potential tools for predicting abnormal pathological protein accumulation. We aimed to investigate the association between AD-related plasma biomarkers and cognitive decline in PD patients. METHODS Plasma biomarkers were measured in 70 PD patients (49 with nondemented Parkinson's disease (PDND) and 21 with Parkinson's disease dementia (PDD)) and 38 healthy controls (HCs) using a single-molecule array. The study evaluated (1) the correlation between plasma biomarkers and clinical parameters, (2) receiver operating characteristic curves and areas under the curve to evaluate the discrimination capacity of plasma biomarkers among groups, and (3) a generalized linear model to analyze associations with Addenbrooke's Cognitive Examination-Revised and Montreal Cognitive Assessment-Japanese version scores. RESULTS Plasma glial fibrillary acidic protein significantly correlated with cognitive function tests, including all subdomains, with a notable increase in the PDD group compared with the HC and PDND groups, while plasma neurofilament light chain captured both cognitive decline and disease severity in the PDND and PDD groups. Plasma beta-amyloid 42/40 and pholphorylated-tau181 indicated AD pathology in the PDD group, but plasma beta-amyloid 42/40 was increased in the PDND group compared with HCs and decreased in the PDD group compared with the PDND group. CONCLUSIONS AD-related plasma biomarkers may predict cognitive decline in PD and uncover underlying mechanisms suggesting astrocytic pathologies related to cognitive decline in PD.
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Affiliation(s)
- Yasuaki Mizutani
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Reiko Ohdake
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Harutsugu Tatebe
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Chiba, Japan
| | - Atsuhiro Higashi
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Sayuri Shima
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Akihiro Ueda
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Mizuki Ito
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan
| | - Takahiko Tokuda
- Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Chiba, Japan
| | - Hirohisa Watanabe
- Department of Neurology, Fujita Health University School of Medicine, 1-98 Dengakugakugo, Kutsukake-Cho, Toyoake, Aichi, 470-1192, Japan.
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17
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Basu T, Sehar U, Malhotra K, Culberson J, Khan H, Morton H, Orlov E, Brownell M, Reddy PH. Healthy brain aging and delayed dementia in Texas rural elderly. Ageing Res Rev 2023; 91:102047. [PMID: 37652312 PMCID: PMC10843417 DOI: 10.1016/j.arr.2023.102047] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/02/2023]
Abstract
Healthy aging is the process of preserving and enhancing one's independence, physical and mental well-being, and overall quality of life. It involves the mental, emotional, and cognitive wellness. Although biological and genetic factors have a significant influence on the process of aging gracefully, other adjustable factors also play a crucial role. Adopting positive behaviors such as maintaining a nutritious and balanced diet, engaging in regular physical activity, effectively managing stress and anxiety, ensuring sufficient sleep, nurturing spiritual coping mechanisms, and prioritizing overall well-being from an early stage can collectively influence both lifespan and the quality of health during advanced years. We aim to explore the potential impacts of biological, psychosocial, and environmental factors on the process of healthy cognitive aging in individuals who exhibit healthy aging. Additionally, we plan to present initial findings that demonstrate how maintaining good cognitive health during aging could potentially postpone the emergence of neurodegenerative disorders. We hypothesize that there will be strong associations between biological, environmental, and social factors that cause some elderly to be superior in cognitive health than others. For preliminary data collection, we recruited 25 cognitively healthy individuals and 5 individuals with MCI/AD between the ages of 60-90 years. We conducted anthropometric measurements, and blood biomarker testing, administered surveys, and obtained structural brain magnetic resonance imaging (MRI) scans. The Montreal Cognitive Assessment (MoCA) scores and sub-scores for the healthy group were also reported. We found that at baseline, individuals exhibiting healthy cognitive aging, and those with MCI/AD had comparable measures of anthropometrics and blood biomarkers. The healthy group exhibited lower signs of brain volume loss and the ones observed were age-related. Moreover, within the healthy group, there was a significant correlation (p = 0.003) between age and MoCA scores. Conversely, within the individuals with MCI/AD, the MRI scans showed disease signs of grey and white matter and loss of cerebral volume. Healthy brain aging is a scientific area that remains under-explored. Our current study findings support our hypothesis. Future studies are required in diverse populations to determine the various biological, psychological, environmental, lifestyle, and social factors that contribute to it.
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Affiliation(s)
- Tanisha Basu
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Ujala Sehar
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Keya Malhotra
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Grace Clinic, Covenant Health System, Lubbock, TX, USA
| | - John Culberson
- Department of Family Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Hafiz Khan
- Public Health Department, School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Hallie Morton
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Erika Orlov
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Malcolm Brownell
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Public Health Department, School of Population and Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Neurology, Departments of School of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language and Hearing Sciences, School Health Professions, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, 1301 Akron Ave, Lubbock, TX 79409, USA.
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18
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de Andrade DC, Mylius V, Perez-Lloret S, Cury RG, Bannister K, Moisset X, Taricani Kubota G, Finnerup NB, Bouhassira D, Chaudhuri KR, Graven-Nielsen T, Treede RD. Pain in Parkinson disease: mechanistic substrates, main classification systems, and how to make sense out of them. Pain 2023; 164:2425-2434. [PMID: 37318012 DOI: 10.1097/j.pain.0000000000002968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 05/02/2023] [Indexed: 06/16/2023]
Abstract
ABSTRACT Parkinson disease (PD) affects up to 2% of the general population older than 65 years and is a major cause of functional loss. Chronic pain is a common nonmotor symptom that affects up to 80% of patients with (Pw) PD both in prodromal phases and during the subsequent stages of the disease, negatively affecting patient's quality of life and function. Pain in PwPD is rather heterogeneous and may occur because of different mechanisms. Targeting motor symptoms by dopamine replacement or with neuromodulatory approaches may only partially control PD-related pain. Pain in general has been classified in PwPD according to the motor signs, pain dimensions, or pain subtypes. Recently, a new classification framework focusing on chronic pain was introduced to group different types of PD pains according to mechanistic descriptors: nociceptive, neuropathic, or neither nociceptive nor neuropathic. This is also in line with the International Classification of Disease-11 , which acknowledges the possibility of chronic secondary musculoskeletal or nociceptive pain due to disease of the CNS. In this narrative review and opinion article, a group of basic and clinical scientists revise the mechanism of pain in PD and the challenges faced when classifying it as a stepping stone to discuss an integrative view of the current classification approaches and how clinical practice can be influenced by them. Knowledge gaps to be tackled by coming classification and therapeutic efforts are presented, as well as a potential framework to address them in a patient-oriented manner.
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Affiliation(s)
- Daniel Ciampi de Andrade
- Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Veit Mylius
- Department of Neurology, Centre for Neurorehabilitation, Valens, Switzerland
- Department of Neurology, Philipps University, Marburg, Germany
- Department of Neurology, Kantonsspital, St. Gallen, Switzerland
| | - Santiago Perez-Lloret
- Observatorio de Salud Pública, Universidad Católica Argentina, Consejo de Investigaciones Científicas y Técnicas (UCA-CONICET), Buenos Aires, Argentina
- Facultad de Medicina, Pontificia Universidad Católica Argentina, Buenos Aires, Argentina
- Departamento de Fisiología, Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Rubens G Cury
- Movement Disorders Center, Department of Neurology, University of Sao Paulo, Sao Paulo, Brazil
| | - Kirsty Bannister
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Xavier Moisset
- Université Clermont Auvergne, CHU de Clermont-Ferrand, Inserm, Neuro-Dol, Clermont-Ferrand, France
| | - Gabriel Taricani Kubota
- Department of Neurology, Centre for Neurorehabilitation, Valens, Switzerland
- Pain Center, University of Sao Paulo Clinics Hospital, Sao Paulo, Brazil
- Center for Pain Treatment, Institute of Cancer of the State of Sao Paulo, University of Sao Paulo Clinics Hospital, Sao Paulo, Brazil
| | - Nanna B Finnerup
- Danish Pain Research Center, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Didier Bouhassira
- Inserm U987, APHP, UVSQ, Paris-Saclay University, Ambroise Pare Hospital, Boulogne-Billancourt, France
| | - Kallol Ray Chaudhuri
- Division of Neuroscience, Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
- Parkinson Foundation Centre of Excellence in Care and Research, King's College Hospital NHS Foundation Trust, London, United Kingdom
| | - Thomas Graven-Nielsen
- Center for Neuroplasticity and Pain (CNAP), Department of Health Science and Technology, Faculty of Medicine, Aalborg University, Aalborg, Denmark
| | - Rolf-Detlef Treede
- Department of Neurophysiology, Mannheim Center for Translational Neurosciences, Heidelberg University, Mannheim, Germany
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19
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Novikov NI, Brazhnik ES, Kitchigina VF. Pathological Correlates of Cognitive Decline in Parkinson's Disease: From Molecules to Neural Networks. BIOCHEMISTRY. BIOKHIMIIA 2023; 88:1890-1904. [PMID: 38105206 DOI: 10.1134/s0006297923110172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 12/19/2023]
Abstract
Parkinson's disease (PD) is a progressive neurodegenerative disorder caused by the death of dopaminergic neurons in the substantia nigra and appearance of protein aggregates (Lewy bodies) consisting predominantly of α-synuclein in neurons. PD is currently recognized as a multisystem disorder characterized by severe motor impairments and various non-motor symptoms. Cognitive decline is one of the most common and worrisome non-motor symptoms. Moderate cognitive impairments (CI) are diagnosed already at the early stages of PD, usually transform into dementia. The main types of CI in PD include executive dysfunction, attention and memory decline, visuospatial impairments, and verbal deficits. According to the published data, the following mechanisms play an essential role demonstrates a crucial importance in the decline of the motor and cognitive functions in PD: (1) changes in the conformational structure of transsynaptic proteins and protein aggregation in presynapses; (2) synaptic transmission impairment; (3) neuroinflammation (pathological activation of the neuroglia); (4) mitochondrial dysfunction and oxidative stress; (5) metabolic disorders (hypometabolism of glucose, dysfunction of glycolipid metabolism; and (6) functional rearrangement of neuronal networks. These changes can lead to the death of dopaminergic cells in the substantia nigra and affect the functioning of other neurotransmitter systems, thus disturbing neuronal networks involved in the transmission of information related to the regulation of motor activity and cognitive functions. Identification of factors causing detrimental changes in PD and methods for their elimination will help in the development of new approaches to the therapy of PD. The goal of this review was to analyze pathological processes that take place in the brain and underlie the onset of cognitive disorders in PD, as well as to describe the impairments of cognitive functions in this disease.
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Affiliation(s)
- Nikolai I Novikov
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, 142290, Russia
| | - Elena S Brazhnik
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, 142290, Russia
| | - Valentina F Kitchigina
- Institute of Theoretical and Experimental Biophysics, Russian Academy of Sciences, Pushchino, Moscow Region, 142290, Russia.
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De Marchi F, Munitic I, Vidatic L, Papić E, Rački V, Nimac J, Jurak I, Novotni G, Rogelj B, Vuletic V, Liscic RM, Cannon JR, Buratti E, Mazzini L, Hecimovic S. Overlapping Neuroimmune Mechanisms and Therapeutic Targets in Neurodegenerative Disorders. Biomedicines 2023; 11:2793. [PMID: 37893165 PMCID: PMC10604382 DOI: 10.3390/biomedicines11102793] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Many potential immune therapeutic targets are similarly affected in adult-onset neurodegenerative diseases, such as Alzheimer's (AD) disease, Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and frontotemporal dementia (FTD), as well as in a seemingly distinct Niemann-Pick type C disease with primarily juvenile onset. This strongly argues for an overlap in pathogenic mechanisms. The commonly researched immune targets include various immune cell subsets, such as microglia, peripheral macrophages, and regulatory T cells (Tregs); the complement system; and other soluble factors. In this review, we compare these neurodegenerative diseases from a clinical point of view and highlight common pathways and mechanisms of protein aggregation, neurodegeneration, and/or neuroinflammation that could potentially lead to shared treatment strategies for overlapping immune dysfunctions in these diseases. These approaches include but are not limited to immunisation, complement cascade blockade, microbiome regulation, inhibition of signal transduction, Treg boosting, and stem cell transplantation.
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Affiliation(s)
- Fabiola De Marchi
- Department of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore Della Carità Hospital, Corso Mazzini 18, 28100 Novara, Italy;
| | - Ivana Munitic
- Laboratory for Molecular Immunology, Department of Biotechnology, University of Rijeka, R. Matejcic 2, 51000 Rijeka, Croatia;
| | - Lea Vidatic
- Laboratory for Neurodegenerative Disease Research, Division of Molecular Medicine, Ruder Boskovic Institute, 10000 Zagreb, Croatia;
| | - Eliša Papić
- Department of Neurology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia; (E.P.); (V.R.); (V.V.)
- Department of Neurology, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Valentino Rački
- Department of Neurology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia; (E.P.); (V.R.); (V.V.)
- Department of Neurology, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Jerneja Nimac
- Department of Biotechnology, Jozef Stefan Institute, SI-1000 Ljubljana, Slovenia; (J.N.); (B.R.)
- Graduate School of Biomedicine, Faculty of Medicine, University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - Igor Jurak
- Molecular Virology Laboratory, Department of Biotechnology, University of Rijeka, R. Matejcic 2, 51000 Rijeka, Croatia;
| | - Gabriela Novotni
- Department of Cognitive Neurology and Neurodegenerative Diseases, University Clinic of Neurology, Medical Faculty, University Ss. Cyril and Methodius, 91701 Skoplje, North Macedonia;
| | - Boris Rogelj
- Department of Biotechnology, Jozef Stefan Institute, SI-1000 Ljubljana, Slovenia; (J.N.); (B.R.)
- Faculty of Chemistry and Chemical Technology, University of Ljubljana, SI-1000 Ljubljana, Slovenia
| | - Vladimira Vuletic
- Department of Neurology, Clinical Hospital Center Rijeka, 51000 Rijeka, Croatia; (E.P.); (V.R.); (V.V.)
- Department of Neurology, Faculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Rajka M. Liscic
- Department of Neurology, Sachsenklinik GmbH, Muldentalweg 1, 04828 Bennewitz, Germany;
| | - Jason R. Cannon
- School of Health Sciences, Purdue University, West Lafayette, IN 47907, USA;
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN 47907, USA
| | - Emanuele Buratti
- International Centre for Genetic Engineering and Biotechnology (ICGEB), Padriciano 99, 34149 Trieste, Italy;
| | - Letizia Mazzini
- Department of Neurology and ALS Centre, University of Piemonte Orientale, Maggiore Della Carità Hospital, Corso Mazzini 18, 28100 Novara, Italy;
| | - Silva Hecimovic
- Laboratory for Neurodegenerative Disease Research, Division of Molecular Medicine, Ruder Boskovic Institute, 10000 Zagreb, Croatia;
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21
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Sousani M, Rojas RF, Preston E, Ghahramani M. Toward a Multi-Modal Brain-Body Assessment in Parkinson's Disease: A Systematic Review in fNIRS. IEEE J Biomed Health Inform 2023; 27:4840-4853. [PMID: 37639416 DOI: 10.1109/jbhi.2023.3308901] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Parkinson's disease (PD) causes impairments in cortical structures leading to motor and cognitive symptoms. While common disease management and treatment strategies mainly depend on the subjective assessment of clinical scales and patients' diaries, research in recent years has focused on advances in automatic and objective tools to help with diagnosing PD and determining its severity. Due to the link between brain structure deficits and physical symptoms in PD, objective brain activity and body motion assessment of patients have been studied in the literature. This study aimed to explore the relationship between brain activity and body motion measures of people with PD to look at the feasibility of diagnosis or assessment of PD using these measures. In this study, we summarised the findings of 24 selected papers from the complete literature review using the Scopus database. Selected studies used both brain activity recording using functional near-infrared spectroscopy (fNIRS) and motion assessment using sensors for people with PD in their experiments. Results include 1) the most common study protocol is a combination of single tasks. 2) Prefrontal cortex is mostly studied region of interest in the literature. 3) Oxygenated haemoglobin (HbO 2) concentration is the predominant metric utilised in fNIRS, compared to deoxygenated haemoglobin (HHb). 4) Motion assessment in people with PD is mostly done with inertial measurement units (IMUs) and electronic walkway. 5) The relationship between brain activity and body motion measures is an important factor that has been neglected in the literature.
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Ricciardi L, Apps M, Little S. Uncovering the neurophysiology of mood, motivation and behavioral symptoms in Parkinson's disease through intracranial recordings. NPJ Parkinsons Dis 2023; 9:136. [PMID: 37735477 PMCID: PMC10514046 DOI: 10.1038/s41531-023-00567-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 08/07/2023] [Indexed: 09/23/2023] Open
Abstract
Neuropsychiatric mood and motivation symptoms (depression, anxiety, apathy, impulse control disorders) in Parkinson's disease (PD) are highly disabling, difficult to treat and exacerbated by current medications and deep brain stimulation therapies. High-resolution intracranial recording techniques have the potential to undercover the network dysfunction and cognitive processes that drive these symptoms, towards a principled re-tuning of circuits. We highlight intracranial recording as a valuable tool for mapping and desegregating neural networks and their contribution to mood, motivation and behavioral symptoms, via the ability to dissect multiplexed overlapping spatial and temporal neural components. This technique can be powerfully combined with behavioral paradigms and emerging computational techniques to model underlying latent behavioral states. We review the literature of intracranial recording studies investigating mood, motivation and behavioral symptomatology with reference to 1) emotional processing, 2) executive control 3) subjective valuation (reward & cost evaluation) 4) motor control and 5) learning and updating. This reveals associations between different frequency specific network activities and underlying cognitive processes of reward decision making and action control. If validated, these signals represent potential computational biomarkers of motivational and behavioural states and could lead to principled therapy development for mood, motivation and behavioral symptoms in PD.
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Affiliation(s)
- Lucia Ricciardi
- Neurosciences Research Centre, Molecular and Clinical Sciences Research Institute, St George's University of London, London, UK.
| | - Matthew Apps
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, UK
| | - Simon Little
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, CA, USA
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Euler MJ, Duff K, King JB, Hoffman JM. Recall and recognition subtests of the repeatable battery for the assessment of neuropsychological status and their relationship to biomarkers of Alzheimer's disease. NEUROPSYCHOLOGY, DEVELOPMENT, AND COGNITION. SECTION B, AGING, NEUROPSYCHOLOGY AND COGNITION 2023; 30:885-902. [PMID: 36110031 PMCID: PMC10014490 DOI: 10.1080/13825585.2022.2124229] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/08/2022] [Indexed: 10/14/2022]
Abstract
Recently, two new recognition subtests for the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) were developed and initially validated in a cohort of older adults who were cognitively intact or classified as amnestic Mild Cognitive Impairment (MCI) or mild Alzheimer's disease (AD). The current paper extends that validation by comparing the recall and recognition subtests of the RBANS, including the existing and recently developed scores, to three commonly used biomarkers in AD in an expanded sample from the initial validation. One hundred fifty-four older adults (65 intact, 46 MCI, 43 AD) were administered the RBANS, which included the recently developed subtests for Story Recognition and Figure Recognition (hits, false positives, total correct), as part of a study on memory and biomarkers. Participants also completed magnetic resonance imaging to obtain hippocampal volumes, positron emission tomography to obtain amyloid plaque deposition, and a blood draw to obtain APOE ε4 status. Whereas correlations between recall scores and biomarkers tended to be moderate (average r = ±0.48), these correlations were comparable across the three recognition total scores (average r = ±0.42), but tended to be lower for recognition hits (average r = ±0.28) and false positives (average r = ±0.38). These results further validate the existing and recently developed recognition scores on the RBANS as providing useful information about brain and genetic pathology in older adults with intact and impaired cognitive functioning.
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Affiliation(s)
- Matthew J Euler
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Kevin Duff
- Center for Alzheimer's Care, Imaging, and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Jace B King
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - John M Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
- Radiology and Imaging Sciences, Center for Quantitative Cancer Imaging, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
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24
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Fallon SJ, Plant O, Tabi YA, Manohar SG, Husain M. Effects of cholinesterase inhibition on attention and working memory in Lewy body dementias. Brain Commun 2023; 5:fcad207. [PMID: 37545547 PMCID: PMC10404008 DOI: 10.1093/braincomms/fcad207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 07/25/2023] [Indexed: 08/08/2023] Open
Abstract
Cholinesterase inhibitors are frequently used to treat cognitive symptoms in Lewy body dementias (Parkinson's disease dementia and dementia with Lewy bodies). However, the selectivity of their effects remains unclear. In a novel rivastigmine withdrawal design, Parkinson's disease dementia and dementia with Lewy bodies patients were tested twice: once when taking rivastigmine as usual and once when they had missed one dose. In each session, they performed a suite of tasks (sustained attention, simple short-term recall, distractor resistance and manipulating the focus of attention) that allowed us to investigate the cognitive mechanisms through which rivastigmine affects attentional control. Consistent with previous literature, rivastigmine withdrawal significantly impaired attentional efficacy (quicker response latencies without a change in accuracy). However, it had no effects on cognitive control as assessed by the ability to withhold a response (inhibitory control). Worse short-term memory performance was also observed when patients were OFF rivastigmine, but these effects were delay and load independent, likely due to impaired visual attention. In contrast to previous studies that have examined the effects of dopamine withdrawal, cognitively complex tasks requiring control over the contents of working memory (ignoring, updating or shifting the focus of attention) were not significantly impaired by rivastigmine withdrawal. Cumulatively, these data support that the conclusion that cholinesterase inhibition has relatively specific and circumscribed-rather than global-effects on attention that may also affect performance on simple short-term memory tasks, but not when cognitive control over working memory is required. The results also indicate that the withdrawal of a single dose of rivastigmine is sufficient to reveal these impairments, demonstrating that cholinergic withdrawal can be an informative clinical as well as an investigative tool.
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Affiliation(s)
- Sean James Fallon
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
- School of Psychology, University of Plymouth, Plymouth PL4 8AA, UK
| | - Olivia Plant
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
| | - Younes A Tabi
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
| | - Sanjay G Manohar
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford OX3 9DU, UK
| | - Masud Husain
- Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford OX3 9DU, UK
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Kurbatskaya A, Jaramillo-Jimenez A, Ochoa-Gomez JF, Bronnick K, Fernandez-Quilez A. Machine Learning-Based Detection of Parkinson's Disease From Resting-State EEG: A Multi-Center Study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083565 DOI: 10.1109/embc40787.2023.10340700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands (δ and θ) and high-frequency bands (α and β) has been shown to be significantly different in patients with PD as compared to subjects without PD (non-PD). However, rs-EEG feature extraction and the interpretation thereof can be time-intensive and prone to examiner variability. Machine learning (ML) has the potential to automatize the analysis of rs-EEG recordings and provides a supportive tool for clinicians to ease their workload. In this work, we use rs-EEG recordings of 84 PD and 85 non-PD subjects pooled from four datasets obtained at different centers. We propose an end-to-end pipeline consisting of preprocessing, extraction of PSD features from clinically-validated frequency bands, and feature selection. Following, we assess the classification ability of the features via ML algorithms to stratify between PD and non-PD subjects. Further, we evaluate the effect of feature harmonization, given the multi-center nature of the datasets. Our validation results show, on average, an improvement in PD detection ability (69.6% vs. 75.5% accuracy) by logistic regression when harmonizing the features and performing univariate feature selection (k = 202 features). Our final results show an average global accuracy of 72.2% with balanced accuracy results for all the centers included in the study: 60.6%, 68.7%, 77.7%, and 82.2%, respectively.Clinical relevance- We present an end-to-end pipeline to extract clinically relevant features from rs-EEG recordings that can facilitate the analysis and detection of PD. Further, we provide an ML system that shows a good performance in detecting PD, even in the presence of centers with different acquisition protocols. Our results show the relevance of harmonizing features and provide a good starting point for future studies focusing on rs-EEG analysis and multi-center data.
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Gooch EA, Horne K, Melzer TR, McAuliffe MJ, MacAskill M, Dalrymple‐Alford JC, Anderson TJ, Theys C. Acquired Stuttering in Parkinson's Disease. Mov Disord Clin Pract 2023; 10:956-966. [PMID: 37332649 PMCID: PMC10272914 DOI: 10.1002/mdc3.13758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 04/04/2023] [Accepted: 04/13/2023] [Indexed: 06/20/2023] Open
Abstract
Background Parkinson's disease frequently causes communication impairments, but knowledge about the occurrence of new-onset stuttering is limited. Objectives To determine the presence of acquired neurogenic stuttering and its relationship with cognitive and motor functioning in individuals with Parkinson's disease. Method Conversation, picture description, and reading samples were collected from 100 people with Parkinson's disease and 25 controls to identify the presence of stuttered disfluencies (SD) and their association with neuropsychological test performance and motor function. Results Participants with Parkinson's disease presented with twice as many stuttered disfluencies during conversation (2.2% ± 1.8%SD) compared to control participants (1.2% ± 1.2%SD; P < 0.01). 21% of people with Parkinson's disease (n = 20/94) met the diagnostic criterion for stuttering, compared with 1/25 controls. Stuttered disfluencies also differed significantly across speech tasks, with more disfluencies during conversation compared to reading (P < 0.01). Stuttered disfluencies in those with Parkinson's disease were associated with longer time since disease onset (P < 0.01), higher levodopa equivalent dosage (P < 0.01), and lower cognitive (P < 0.01) and motor scores (P < 0.01). Conclusion One in five participants with Parkinson's disease presented with acquired neurogenic stuttering, suggesting that speech disfluency assessment, monitoring and intervention should be part of standard care. Conversation was the most informative task for identifying stuttered disfluencies. The frequency of stuttered disfluencies was higher in participants with worse motor functioning, and lower cognitive functioning. This challenges previous suggestions that the development of stuttered disfluencies in Parkinson's disease has purely a motoric basis.
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Affiliation(s)
- Eloïse A. Gooch
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
| | | | - Tracy R. Melzer
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - Megan J. McAuliffe
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- Te Kāhu Roro Reo, New Zealand Institute of Language, Brain and BehaviourUniversity of CanterburyChristchurchNew Zealand
| | - Michael MacAskill
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - John C. Dalrymple‐Alford
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
| | - Tim J. Anderson
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Department of MedicineUniversity of OtagoChristchurchNew Zealand
- Neurology DepartmentChristchurch Hospital, Te Whatu Ora Health New ZealandChristchurchNew Zealand
| | - Catherine Theys
- Te Kura Mahi ā‐Hirikapo, School of Psychology, Speech, and HearingUniversity of CanterburyChristchurchNew Zealand
- New Zealand Brain Research InstituteChristchurchNew Zealand
- Te Kāhu Roro Reo, New Zealand Institute of Language, Brain and BehaviourUniversity of CanterburyChristchurchNew Zealand
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27
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Zawiślak-Fornagiel K, Ledwoń D, Bugdol M, Romaniszyn-Kania P, Małecki A, Gorzkowska A, Mitas AW. Specific patterns of coherence and phase lag index in particular regions as biomarkers of cognitive impairment in Parkinson's disease. Parkinsonism Relat Disord 2023; 111:105436. [PMID: 37167834 DOI: 10.1016/j.parkreldis.2023.105436] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/25/2023] [Accepted: 05/01/2023] [Indexed: 05/13/2023]
Abstract
INTRODUCTION Cognitive impairment is a persistent and increasingly reported symptom of patients with Parkinson's disease (PD), significantly affecting daily functioning quality. This study aims to evaluate the functional connectivity of the brain network in patients with Parkinson's disease with various severities of cognitive decline using quantitative electroencephalography (EEG) analysis. METHODS Based on the EEG recorded in the resting state, the coherence and phase lag index were calculated to evaluate functional connectivity in 108 patients with Parkinson's disease divided into three groups according to their cognitive condition: dementia due to PD (PD-D), PD and mild cognitive impairment (PD-MCI) and cognitively normal patients (PD-CogN). RESULTS It was found that there were significantly different coherence values in the PD-D group compared to PD-CogN in different frequency bands. In most cases, there was a decrease in coherence in PD-D compared to PD-CogN. The most specific changes were revealed in the theta frequency band in the temporal right-frontal left and temporal right-frontal right regions. In the alpha frequency band, the most significant decreases were shown in the occipital right-frontal left and occipital left-frontal right areas. There were also statistically significant differences in phase lag index between many areas, especially in the theta frequency range. CONCLUSIONS These findings indicate that the functional connectivity patterns of coherence and phase lag index - found in a particular frequency band and region - could become a reliable biomarker for identifying cognitive impairment and differentiating its severity in PD patients.
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Affiliation(s)
- Katarzyna Zawiślak-Fornagiel
- Department of Neurology, University Clinical Center prof. K. Gibiński of the Medical University of Silesia, 40-752, Katowice, Poland
| | - Daniel Ledwoń
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland.
| | - Monika Bugdol
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
| | - Patrycja Romaniszyn-Kania
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
| | - Andrzej Małecki
- Institute of Physiotherapy and Health Science, Academy of Physical Education in Katowice, Mikołowska 72A, 40-065, Katowice, Poland
| | - Agnieszka Gorzkowska
- Department of Neurorehabilitation, Faculty of Medical Sciences in Katowice, Medical University of Silesia, 40-752, Katowice, Poland
| | - Andrzej W Mitas
- Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800, Zabrze, Poland
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Peng S, Liu J, Liang C, Yang L, Wang G. Aquaporin-4 in glymphatic system, and its implication for central nervous system disorders. Neurobiol Dis 2023; 179:106035. [PMID: 36796590 DOI: 10.1016/j.nbd.2023.106035] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/06/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023] Open
Abstract
The clearance function is essential for maintaining brain tissue homeostasis, and the glymphatic system is the main pathway for removing brain interstitial solutes. Aquaporin-4 (AQP4) is the most abundantly expressed aquaporin in the central nervous system (CNS) and is an integral component of the glymphatic system. In recent years, many studies have shown that AQP4 affects the morbidity and recovery process of CNS disorders through the glymphatic system, and AQP4 shows notable variability in CNS disorders and is part of the pathogenesis of these diseases. Therefore, there has been considerable interest in AQP4 as a potential and promising target for regulating and improving neurological impairment. This review aims to summarize the pathophysiological role that AQP4 plays in several CNS disorders by affecting the clearance function of the glymphatic system. The findings can contribute to a better understanding of the self-regulatory functions in CNS disorders that AQP4 were involved in and provide new therapeutic alternatives for incurable debilitating neurodegenerative disorders of CNS in the future.
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Affiliation(s)
- Shasha Peng
- 56 Xinjian southern St, Department of Pharmacology, School of Basical Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Jiachen Liu
- 172 Tongzipo Rd, Xiangya Medical College of Central South University, Changsha, Hunan 410013, China
| | - Chuntian Liang
- 56 Xinjian southern St, Department of Neurology, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Lijun Yang
- 56 Xinjian southern St, Department of Pharmacology, School of Basical Medical Sciences, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Gaiqing Wang
- 56 Xinjian southern St, Department of Neurology, Shanxi Medical University, Taiyuan, Shanxi 030001, China; 146 JieFang forth Rd, Department of Neurology, SanYa Central Hospital (Hainan Third People's Hospital), Hainan Medical University, SanYa, Hainan 572000, China.
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29
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Kang YJ, Xue Y, Shin JH, Cho H. Human mini-brains for reconstituting central nervous system disorders. LAB ON A CHIP 2023; 23:964-981. [PMID: 36644973 DOI: 10.1039/d2lc00897a] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Neurological disorders in the central nervous system (CNS) are progressive and irreversible diseases leading to devastating impacts on patients' life as they cause cognitive impairment, dementia, and even loss of essential body functions. The development of effective medicines curing CNS disorders is, however, one of the most ambitious challenges due to the extremely complex functions and structures of the human brain. In this regard, there are unmet needs to develop simplified but physiopathologically-relevant brain models. Recent advances in the microfluidic techniques allow multicellular culture forming miniaturized 3D human brains by aligning parts of brain regions with specific cells serving suitable functions. In this review, we overview designs and strategies of microfluidics-based human mini-brains for reconstituting CNS disorders, particularly Alzheimer's disease (AD), Parkinson's disease (PD), traumatic brain injury (TBI), vascular dementia (VD), and environmental risk factor-driven dementia (ERFD). Afterward, the applications of the mini-brains in the area of medical science are introduced in terms of the clarification of pathogenic mechanisms and identification of promising biomarkers. We also present expanded model systems ranging from the CNS to CNS-connecting organ axes to study the entry pathways of pathological risk factors into the brain. Lastly, the advantages and potential challenges of current model systems are addressed with future perspectives.
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Affiliation(s)
- You Jung Kang
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Republic of Korea.
- Department of Biophysics, Sungkyunkwan University, Suwon, Republic of Korea
| | - Yingqi Xue
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Republic of Korea.
- Department of Biophysics, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jae Hee Shin
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Republic of Korea.
- Department of Biophysics, Sungkyunkwan University, Suwon, Republic of Korea
| | - Hansang Cho
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon, Republic of Korea.
- Department of Biophysics, Sungkyunkwan University, Suwon, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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Jung JH, Na HK, Jeong SH, Chung SJ, Yoo HS, Lee YH, Baik K, Kim SJ, Sohn YH, Lee PH. Effects of Dihydropyridines on the Motor and Cognitive Outcomes of Patients with Parkinson's Disease. Mov Disord 2023. [PMID: 36825772 DOI: 10.1002/mds.29367] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 01/24/2023] [Accepted: 02/10/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Dihydropyridines (DHPs) may have neuroprotective effects against Parkinson's disease (PD). OBJECTIVE This study investigated the effects of DHPs on nigrostriatal dopaminergic denervation and longitudinal motor and cognitive outcomes in PD. METHODS We classified 476 patients with drug-naive PD who had undergone dopamine transporter imaging into three groups. They were selected according to a prior diagnosis of hypertension and use of DHPs and were matched using propensity scores: patients without hypertension (HTN-; n = 50) and patients with hypertension treated without DHP (HTN+/DHP-; n = 50) or with DHP (HTN+/DHP+; n = 50). Multiple linear regression and linear mixed model analyses were performed to determine intergroup differences in baseline dopamine transporter availability and longitudinal changes in the levodopa-equivalent dose, respectively. Using Kaplan-Meier analyses, we compared the risks of levodopa-induced dyskinesia, wearing off, and dementia-free survival during the 5.06 years of the mean follow-up period. The Cox regression model determined the independent effects of DHPs on dementia conversion. RESULTS Dopamine transporter availability in all striatal subregions was comparable between the HTN-, HTN+/DHP-, and HTN+/DHP+ groups. The risks of levodopa-induced dyskinesia and wearing off, as well as longitudinal changes in the levodopa-equivalent dose, did not differ between the groups. The HTN+/DHP+ group had a lower risk of developing dementia than the HTN+/DHP- (Bonferroni-corrected Plog-rank = 0.036) group. The use of DHP was independently associated with a lower risk of dementia conversion after controlling for other antihypertensive drugs and confounding factors (hazard ratio, 0.242; 95% confidence interval, 0.087-0.668; P = 0.006). CONCLUSIONS DHPs may be associated with better long-term cognitive outcomes in hypertensive patients with PD. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jin Ho Jung
- Department of Neurology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea.,Dementia and Neurodegenerative Disease Research Center, Inje University, Busan, South Korea
| | - Han Kyu Na
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seong Ho Jeong
- Department of Neurology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, South Korea
| | - Seok Jong Chung
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.,Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, South Korea
| | - Han Soo Yoo
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea.,Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Yang Hyun Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Kyoungwon Baik
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Sang Jin Kim
- Department of Neurology, Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea.,Dementia and Neurodegenerative Disease Research Center, Inje University, Busan, South Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, 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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Chu Y, Hirst WD, Kordower JH. Mixed pathology as a rule, not exception: Time to reconsider disease nosology. HANDBOOK OF CLINICAL NEUROLOGY 2023; 192:57-71. [PMID: 36796948 DOI: 10.1016/b978-0-323-85538-9.00012-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
Abstract
Parkinson's disease is a progressive neurodegenerative disorder that is associated with motor and nonmotor symptoms. Accumulation of misfolded α-synuclein is considered a key pathological feature during disease initiation and progression. While clearly deemed a synucleinopathy, the development of amyloid-β plaques, tau-containing neurofibrillary tangles, and even TDP-43 protein inclusions occur within the nigrostriatal system and in other brain regions. In addition, inflammatory responses, manifested by glial reactivity, T-cell infiltration, and increased expression of inflammatory cytokines, plus other toxic mediators derived from activated glial cells, are currently recognized as prominent drivers of Parkinson's disease pathology. However, copathologies have increasingly been recognized as the rule (>90%) and not the exception, with Parkinson's disease cases on average exhibiting three different copathologies. While microinfarcts, atherosclerosis, arteriolosclerosis, and cerebral amyloid angiopathy may have an impact on disease progression, α-synuclein, amyloid-β, and TDP-43 pathology do not seem to contribute to progression.
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Affiliation(s)
- Yaping Chu
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, United States
| | - Warren D Hirst
- Neurodegenerative Diseases Research Unit, Biogen, Boston, MA, United States
| | - Jeffrey H Kordower
- ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, United States.
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Hou L, Liu J, Sun F, Huang R, Chang R, Ruan Z, Wang Y, Zhao J, Wang Q. Integrin Mac1 mediates paraquat and maneb-induced learning and memory impairments in mice through NADPH oxidase-NLRP3 inflammasome axis-dependent microglial activation. J Neuroinflammation 2023; 20:42. [PMID: 36804009 PMCID: PMC9938991 DOI: 10.1186/s12974-023-02732-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 02/13/2023] [Indexed: 02/20/2023] Open
Abstract
INTRODUCTION The mechanisms of cognitive impairments in Parkinson's disease (PD) remain unknown. Accumulating evidence revealed that brain neuroinflammatory response mediated by microglial cells contributes to cognitive deficits in neuropathological conditions and macrophage antigen complex-1 (Mac1) is a key factor in controlling microglial activation. OBJECTIVES To explore whether Mac1-mediated microglial activation participates in cognitive dysfunction in PD using paraquat and maneb-generated mouse PD model. METHODS Cognitive performance was measured in wild type and Mac1-/- mice using Morris water maze test. The role and mechanisms of NADPH oxidase (NOX)-NLRP3 inflammasome axis in Mac1-mediated microglial dysfunction, neuronal damage, synaptic degeneration and phosphorylation (Ser129) of α-synuclein were explored by immunohistochemistry, Western blot and RT-PCR. RESULTS Genetic deletion of Mac1 significantly ameliorated learning and memory impairments, neuronal damage, synaptic loss and α-synuclein phosphorylation (Ser129) caused by paraquat and maneb in mice. Subsequently, blocking Mac1 activation was found to mitigate paraquat and maneb-elicited microglial NLRP3 inflammasome activation in both in vivo and in vitro. Interestingly, stimulating activation of NOX by phorbol myristate acetate abolished the inhibitory effects of Mac1 blocking peptide RGD on paraquat and maneb-provoked NLRP3 inflammasome activation, indicating a key role of NOX in Mac1-mediated NLRP3 inflammasome activation. Furthermore, NOX1 and NOX2, two members of NOX family, and downstream PAK1 and MAPK pathways were recognized to be essential for NOX to regulate NLRP3 inflammasome activation. Finally, a NLRP3 inflammasome inhibitor glybenclamide abrogated microglial M1 activation, neurodegeneration and phosphorylation (Ser129) of α-synuclein elicited by paraquat and maneb, which were accompanied by improved cognitive capacity in mice. CONCLUSIONS Mac1 was involved in cognitive dysfunction in a mouse PD model through NOX-NLRP3 inflammasome axis-dependent microglial activation, providing a novel mechanistic basis of cognitive decline in PD.
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Affiliation(s)
- Liyan Hou
- grid.411971.b0000 0000 9558 1426Dalian Medical University Library, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China ,grid.411971.b0000 0000 9558 1426National-Local Joint Engineering Research Center for Drug-Research and Development (R & D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, 116044 China
| | - Jianing Liu
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Fuqiang Sun
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Ruixue Huang
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Rui Chang
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Zhengzheng Ruan
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Ying Wang
- grid.411971.b0000 0000 9558 1426School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044 China
| | - Jie Zhao
- National-Local Joint Engineering Research Center for Drug-Research and Development (R & D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, 116044, China.
| | - Qingshan Wang
- National-Local Joint Engineering Research Center for Drug-Research and Development (R & D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, 116044, China. .,School of Public Health, Dalian Medical University, No. 9 W. Lvshun South Road, Dalian, 116044, China.
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Caminiti SP, Boccalini C, Nicastro N, Garibotto V, Perani D. Sex differences in brain metabolic connectivity architecture in probable dementia with Lewy bodies. Neurobiol Aging 2023; 126:14-24. [PMID: 36905876 DOI: 10.1016/j.neurobiolaging.2023.02.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/23/2023] [Accepted: 02/10/2023] [Indexed: 02/19/2023]
Abstract
We investigated how sex modulates metabolic connectivity alterations in probable dementia with Lewy bodies (pDLB). We included 131 pDLB patients (males/females: 58/73) and similarly aged healthy controls (HC) (male/female: 59/75) with available (18)F-fluorodeoxyglucose positron emission tomography (FDG-PET) scans. We assessed (1) sex differences in the whole-brain connectivity, identifying pathological hubs, (2) connectivity alterations in functional pathways of the neurotransmitter systems, (3) Resting State Networks (RSNs) integrity. Both pDLBM (males) and pDLBF (females) shared dysfunctional hubs in the insula, Rolandic operculum, and inferior parietal lobule, but the pDLBM group showed more severe and diffuse whole-brain connectivity alterations. Neurotransmitters connectivity analysis revealed common alterations in dopaminergic and noradrenergic pathways. Sex differences emerged particularly in the Ch4-perisylvian division, with pDLBM showing more severe alterations than pDLBF. The RSNs analysis showed no sex differences, with decreased connectivity strength in the primary visual, posterior default mode, and attention networks in both groups. Extensive connectivity changes characterize both males and females in the dementia stage, with a major vulnerability of cholinergic neurotransmitter systems in males, possibly contributing to the observed different clinical phenotypes.
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Affiliation(s)
- Silvia Paola Caminiti
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cecilia Boccalini
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Nicolas Nicastro
- Division of Neurorehabilitation, Department of Clinical Neurosciences, Geneva University Hospitals, Geneva, Switzerland; Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Valentina Garibotto
- Laboratory of Neuroimaging and Innovative Molecular Tracers (NIMTlab), Geneva University Neurocenter and Faculty of Medicine, University of Geneva, Geneva, Switzerland; Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospitals, Geneva, Switzerland; Center for Biomedical Imaging (CIBM), Geneva, Switzerland
| | - Daniela Perani
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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The Increase of Theta Power and Decrease of Alpha/Theta Ratio as a Manifestation of Cognitive Impairment in Parkinson's Disease. J Clin Med 2023; 12:jcm12041569. [PMID: 36836103 PMCID: PMC9965386 DOI: 10.3390/jcm12041569] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/18/2023] Open
Abstract
In this study, we aim to assess and examine cognitive functions in Parkinson's Disease patients using EEG recordings, with a central focus on characteristics associated with a cognitive decline. Based on neuropsychological evaluation using Mini-Mental State Examination, Montreal Cognitive Assessment, and Addenbrooke's Cognitive Examination-III, 98 participants were divided into three cognitive groups. All the particpants of the study underwent EEG recordings with spectral analysis. The results revealed an increase in the absolute theta power in patients with Parkinson's disease dementia (PD-D) compared to cognitively normal status (PD-CogN, p=0.00997) and a decrease in global relative beta power in PD-D compared to PD-CogN (p=0.0413). An increase in theta relative power in the left temporal region (p=0.0262), left occipital region (p=0.0109), and right occipital region (p=0.0221) were observed in PD-D compared to PD-N. The global alpha/theta ratio and global power spectral ratio significantly decreased in PD-D compared to PD-N (p = 0.001). In conclusion, the increase in relative theta power and the decrease in relative beta power are characteristic changes in EEG recordings in PD patients with cognitive impairment. Identifying these changes can be a useful biomarker and a complementary tool in the neuropsychological diagnosis of cognitive impairment in Parkinson's Disease.
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Mantovani E, Zucchella C, Argyriou AA, Tamburin S. Treatment for cognitive and neuropsychiatric non-motor symptoms in Parkinson's disease: current evidence and future perspectives. Expert Rev Neurother 2023; 23:25-43. [PMID: 36701529 DOI: 10.1080/14737175.2023.2173576] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Non-motor symptoms (NMS) affect patients with Parkinson's disease (PD) from the prodromal to the advanced stages. NMS phenotypes greatly vary and have a huge impact on patients' and caregivers' quality of life (QoL). The management of cognitive and neuropsychiatric NMS remains an unmet need. AREAS COVERED The authors, herein, review the dopaminergic and non-dopaminergic pathogenesis, clinical features, assessment, and pharmacological and non-pharmacological treatments of cognitive and neuropsychiatric NMS in PD. They discuss the current evidence and report the findings of an overview of ongoing trials on pharmacological and selected non-pharmacological strategies. EXPERT OPINION The treatment of cognitive and neuropsychiatric NMS in PD is poorly explored, and therapeutic options are unsatisfactory. Pharmacological treatment of cognitive NMS is based on symptomatic active principles used in Alzheimer's disease. Dopamine agonists, selective serotonin, and serotonin-norepinephrine reuptake inhibitors have some evidence on PD-related depression. Clozapine, quetiapine, and pimavanserin may be considered for psychosis in PD. Evidence on the treatment of other neuropsychiatric NMS is limited or lacking. Addressing pathophysiological and clinical issues, which hamper solid evidence on the treatment of cognitive and neuropsychiatric NMS, may reduce the impact on QoL for PD patients and their caregivers.
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Affiliation(s)
- Elisa Mantovani
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Chiara Zucchella
- Section of Neurology, Department of Neurosciences, Verona University Hospital, Verona, Italy
| | - Andreas A Argyriou
- Department of Neurology, "Agios Andreas" State General Hospital of Patras, Patras, Greece
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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36
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Yoo SW, Ha S, Oh YS, Ryu DW, Yoo JY, Lee KS, Kim JS. Caudate-anchored cognitive connectivity pursuant to orthostatic hypotension in early Parkinson's disease. Sci Rep 2022; 12:22161. [PMID: 36550284 PMCID: PMC9780335 DOI: 10.1038/s41598-022-26811-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022] Open
Abstract
18F-Florbetaben is a tracer used to evaluate the metabolic activity of and amyloid accumulation in the brain when measured in early- and late-phase, respectively. The metabolism of neural substrates could be viewed as a network and might be an important factor in cognition. Orthostatic hypotension (OH) might play an indirect moderating role in cognition, and its latent influence could modify the inherent cognitive network. This study aimed to identify changes of cognitive connectivity according to orthostatic stress in patients with early Parkinson's disease (PD). This study included 104 early PD patients who were evaluated with a head-up tilt-test and18F-Florbetaben positron emission tomography (PET). Cognition was assessed with a comprehensive neuropsychological battery that gauged attention/working memory, language, visuospatial, memory, and executive functions. PET images were analyzed visually for amyloid deposits, and early-phase images were normalized to obtain standardized uptake ratios (SUVRs) of pre-specified subregions relevant to specific cognitive domains. The caudate nucleus was referenced and paired to these pre-specified regions. The correlations between SUVRs of these regions were assessed and stratified according to presence of orthostatic hypotension. Among the patients studied, 22 (21.2%) participants had orthostatic hypotension. Nineteen patients (18.3%) were positive for amyloid-β accumulation upon visual analysis. Moderate correlations between the caudate and pre-specified subregions were observed (Spearman's rho, range [0.331-0.545]). Cognition did not differ, but the patterns of correlation were altered when the disease was stratified by presence of orthostatic stress. In conclusion, cognition in early PD responds to hemodynamic stress by adapting its neural connections between regions relevant to cognitive functions.
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Affiliation(s)
- Sang-Won Yoo
- grid.411947.e0000 0004 0470 4224Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seunggyun Ha
- grid.411947.e0000 0004 0470 4224Division of Nuclear Medicine, Department of Radiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yoon-Sang Oh
- grid.411947.e0000 0004 0470 4224Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Dong-Woo Ryu
- grid.411947.e0000 0004 0470 4224Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Ji-Yeon Yoo
- grid.411947.e0000 0004 0470 4224Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kwang-Soo Lee
- grid.411947.e0000 0004 0470 4224Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Joong-Seok Kim
- grid.414966.80000 0004 0647 5752Department of Neurology, College of Medicine, The Catholic University of Korea, Seoul St. Mary’s Hospital, 222 Banpo-daero, Seocho-gu, Seoul, 06591 Republic of Korea
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Pooladgar P, Sakhabakhsh M, Taghva A, Soleiman-Meigooni S. Donepezil Beyond Alzheimer's Disease? A Narrative Review of Therapeutic Potentials of Donepezil in Different Diseases. IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH : IJPR 2022; 21:e128408. [PMID: 36942075 PMCID: PMC10024338 DOI: 10.5812/ijpr-128408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/25/2022] [Accepted: 08/01/2022] [Indexed: 11/16/2022]
Abstract
Donepezil hydrochloride is an acetylcholine esterase inhibitor studied and approved to treat Alzheimer's disease (AD). However, this drug can have positive therapeutic potential in treating different conditions, including various neurodegenerative disorders such as other types of dementia, multiple sclerosis, Parkinson's disease, psychiatric and mood disorders, and even infectious diseases. Hence, this study reviewed the therapeutic potential of this drug in treating Alzheimer's and other diseases by reviewing the articles from databases including Web of Science, Scopus, PubMed, Cochrane, and Science Direct. It was shown that donepezil could affect the pathophysiology of these diseases via mechanisms such as increasing the concentration of acetylcholine, modulating local and systemic inflammatory processes, affecting acetylcholine receptors like nicotinic and muscarinic receptors, and activating various cellular signaling via receptors like sigma-1 receptors. Despite many therapeutic potentials, this drug has not yet been approved for treating non-Alzheimer's diseases, and more comprehensive studies are needed.
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Affiliation(s)
- Parham Pooladgar
- Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Sakhabakhsh
- Head of Department of Neurology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran
| | - Arsia Taghva
- Department of Psychiatry, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran
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Yang S, Hwang HS, Zhu BH, Chen J, Enkhzaya G, Wang ZJ, Kim ES, Kim NY. Evaluating the Alterations Induced by Virtual Reality in Cerebral Small-World Networks Using Graph Theory Analysis with Electroencephalography. Brain Sci 2022; 12:brainsci12121630. [PMID: 36552090 PMCID: PMC9776076 DOI: 10.3390/brainsci12121630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 11/13/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022] Open
Abstract
Virtual reality (VR), a rapidly evolving technology that simulates three-dimensional virtual environments for users, has been proven to activate brain functions. However, the continuous alteration pattern of the functional small-world network in response to comprehensive three-dimensional stimulation rather than realistic two-dimensional media stimuli requires further exploration. Here, we aimed to validate the effect of VR on the pathways and network parameters of a small-world organization and interpret its mechanism of action. Fourteen healthy volunteers were selected to complete missions in an immersive VR game. The changes in the functional network in six different frequency categories were analyzed using graph theory with electroencephalography data measured during the pre-, VR, and post-VR stages. The mutual information matrix revealed that interactions between the frontal and posterior areas and those within the frontal and occipital lobes were strengthened. Subsequently, the betweenness centrality (BC) analysis indicated more robust and extensive pathways among hubs. Furthermore, a specific lateralized channel (O1 or O2) increment in the BC was observed. Moreover, the network parameters improved simultaneously in local segregation, global segregation, and global integration. The overall topological improvements of small-world organizations were in high-frequency bands and exhibited some degree of sustainability.
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Affiliation(s)
- Shan Yang
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- NDAC Center, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Hyeon-Sik Hwang
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Bao-Hua Zhu
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- NDAC Center, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Jian Chen
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- NDAC Center, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Ganbold Enkhzaya
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- NDAC Center, Kwangwoon University, Seoul 01897, Republic of Korea
| | - Zhi-Ji Wang
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- Department of Pediatrics, Severance Children’s Hospital, Yonsei University, Seoul 03722, Republic of Korea
- Correspondence: (Z.-J.W.); (E.-S.K.); (N.-Y.K.)
| | - Eun-Seong Kim
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- WAVEPIA Co., Ltd., 557, Dongtangiheung-ro, Hwaseong-si 18469, Republic of Korea
- Correspondence: (Z.-J.W.); (E.-S.K.); (N.-Y.K.)
| | - Nam-Young Kim
- RFIC Center, Department of Electronic Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
- NDAC Center, Kwangwoon University, Seoul 01897, Republic of Korea
- Correspondence: (Z.-J.W.); (E.-S.K.); (N.-Y.K.)
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Zhang YR, Xu W, Zhang W, Wang HF, Ou YN, Qu Y, Shen XN, Chen SD, Wu KM, Zhao QH, Zhang HN, Sun L, Dong Q, Tan L, Feng L, Zhang C, Evangelou E, Smith AD, Yu JT. Modifiable risk factors for incident dementia and cognitive impairment: An umbrella review of evidence. J Affect Disord 2022; 314:160-167. [PMID: 35863541 DOI: 10.1016/j.jad.2022.07.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/04/2022] [Accepted: 07/05/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Dementia and cognitive impairment can be attributed to genetic and modifiable factors. Considerable evidence emerged in modifiable factors and urgently requires standardized evaluation. We conducted an umbrella review to evaluate the strength and validity of the existing evidence. METHODS We searched PubMed, Embase, CINAHL and Cochrane Database of Systematic Reviews to identify relevant systematic reviews and meta-analyses of prospective studies regarding the associations of dementia and cognitive impairment with modifiable factors. For each association, we analyzed the summary effect size, 95 % confidence interval, 95 % prediction interval, heterogeneity, small study effect and excess significance bias. Mendelian randomization studies were descriptively reviewed further exploring the causality of the associations. RESULTS In total, 12,015 articles were identified, of which 118 eligible studies yielded 243 unique associations. Convincing evidence was found for associations of dementia and cognitive impairment with early-life education, midlife to late-life plasma glucose, BMI, atrial fibrillation, benzodiazepine use, and gait speed. Suggestive to highly suggestive evidence was found for that of midlife to late-life blood pressure, homocysteine, cerebrovascular diseases, hearing impairment, respiratory illness, anemia, smoking, alcohol consumption, diet, sleep, physical activity and social engagement. Among convincing evidence, Mendelian randomization studies verified causal relationships of education and plasma glucose with Alzheimer's disease. LIMITATIONS Low quality of the studies included. CONCLUSIONS Modifiable risk factors identified in this study, especially those with high-level evidence, should be considered in dementia prevention. Our results support a valuable rationale for future experimental designs to establish further evidence for the associations in larger populations.
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Affiliation(s)
- Ya-Ru Zhang
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Xu
- Department of Neurology, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, China
| | - Wei Zhang
- The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China
| | - Hui-Fu Wang
- Department of Neurology, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, China
| | - Ya-Nan Ou
- Department of Neurology, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, China
| | - Yi Qu
- Department of Neurology, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, China
| | - Xue-Ning Shen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shi-Dong Chen
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kai-Min Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qian-Hua Zhao
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hai-Ning Zhang
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun, China
| | - Li Sun
- Department of Neurology and Neuroscience Center, First Hospital of Jilin University, Changchun, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lan Tan
- Department of Neurology, Qingdao Municipal Hospital Group, Qingdao University, Qingdao, China
| | - Lei Feng
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Can Zhang
- Genetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Evangelos Evangelou
- Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - A David Smith
- Department of Pharmacology, University of Oxford, Oxford OX1 3QT, UK
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, China.
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Arighi A, Arcaro M, Fumagalli GG, Carandini T, Pietroboni AM, Sacchi L, Fenoglio C, Serpente M, Sorrentino F, Isgrò G, Turkheimer F, Scarpini E, Galimberti D. Aquaporin-4 cerebrospinal fluid levels are higher in neurodegenerative dementia: looking at glymphatic system dysregulation. Alzheimers Res Ther 2022; 14:135. [PMID: 36115967 PMCID: PMC9482276 DOI: 10.1186/s13195-022-01077-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 09/04/2022] [Indexed: 01/15/2023]
Abstract
Aquaporin-4 (AQP4) is a channel protein that plays a fundamental role in glymphatic system, a newly described pathway for fluid exchange in the central nervous system, as well as a central figure in a fascinating new theory for the pathophysiology of neurodegenerative diseases such as Alzheimer’s disease (AD) and frontotemporal dementia (FTD). In this study, cerebrospinal fluid (CSF) concentration of AQP4, amyloid-β, total tau and P-tau were determined in 103 CSF samples from patients affected by neurodegenerative dementias (AD and FTD) or psychiatric diseases and 21 controls. Significantly higher levels of AQP4 were found in AD and FTD patients compared to subjects not affected by neurodegenerative diseases, and a significant, positive correlation between AQP4 and total tau levels was found. This evidence may pave the way for future studies focused on the role of this channel protein in the clinical assessment of the glymphatic function and degree of neurodegeneration.
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Mihaescu AS, Valli M, Uribe C, Diez-Cirarda M, Masellis M, Graff-Guerrero A, Strafella AP. Beta amyloid deposition and cognitive decline in Parkinson's disease: a study of the PPMI cohort. Mol Brain 2022; 15:79. [PMID: 36100909 PMCID: PMC9472347 DOI: 10.1186/s13041-022-00964-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 08/25/2022] [Indexed: 11/10/2022] Open
Abstract
The accumulation of beta amyloid in the brain has a complex and poorly understood impact on the progression of Parkinson's disease pathology and much controversy remains regarding its role, specifically in cognitive decline symptoms. Some studies have found increased beta amyloid burden is associated with worsening cognitive impairment in Parkinson's disease, especially in cases where dementia occurs, while other studies failed to replicate this finding. To better understand this relationship, we examined a cohort of 25 idiopathic Parkinson's disease patients and 30 healthy controls from the Parkinson's Progression Marker Initiative database. These participants underwent [18F]Florbetaben positron emission tomography scans to quantify beta amyloid deposition in 20 cortical regions. We then analyzed this beta amyloid data alongside the longitudinal Montreal Cognitive Assessment scores across 3 years to see how participant's baseline beta amyloid levels affected their cognitive scores prospectively. The first analysis we performed with these data was a hierarchical cluster analysis to help identify brain regions that shared similarity. We found that beta amyloid clusters differently in Parkinson's disease patients compared to healthy controls. In the Parkinson's disease group, increased beta amyloid burden in cluster 2 was associated with worse cognitive ability, compared to deposition in clusters 1 or 3. We also performed a stepwise linear regression where we found an adjusted R2 of 0.495 (49.5%) in a model explaining the Parkinson's disease group's Montreal Cognitive Assessment score 1-year post-scan, encompassing the left gyrus rectus, the left anterior cingulate cortex, and the right parietal cortex. Taken together, these results suggest regional beta amyloid deposition alone has a moderate effect on predicting future cognitive decline in Parkinson's disease patients. The patchwork effect of beta amyloid deposition on cognitive ability may be part of what separates cognitive impairment from cognitive sparing in Parkinson's disease. Thus, we suggest it would be more useful to measure beta amyloid burden in specific brain regions rather than using a whole-brain global beta amyloid composite score and use this information as a tool for determining which Parkinson's disease patients are most at risk for future cognitive decline.
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Affiliation(s)
- Alexander S Mihaescu
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. .,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada. .,Institute of Medical Science, University of Toronto, Toronto, ON, Canada.
| | - Mikaeel Valli
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Carme Uribe
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada
| | - Maria Diez-Cirarda
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada.,Neurodegenerative Diseases Group, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
| | - Mario Masellis
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada.,LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, University of Toronto, Toronto, ON, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Ariel Graff-Guerrero
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Antonio P Strafella
- Brain Health Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada. .,Krembil Brain Institute, University Health Network, University of Toronto, Toronto, ON, Canada. .,Institute of Medical Science, University of Toronto, Toronto, ON, Canada. .,Morton and Gloria Shulman Movement Disorder Unit & Edmond J. Safra Program in Parkinson Disease, Neurology Division, Department of Medicine, Toronto Western Hospital, University Health Network, University of Toronto, Toronto, ON, Canada.
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Chen H, Xu E, Zhou F, Li Q, Zeng J, Mei S, Xing Y. Impaired dynamic cerebral autoregulation: A potential mechanism of orthostatic hypotension and dementia in Parkinson’s disease. Front Aging Neurosci 2022; 14:927009. [PMID: 36158547 PMCID: PMC9492951 DOI: 10.3389/fnagi.2022.927009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 08/08/2022] [Indexed: 12/05/2022] Open
Abstract
Background Orthostatic hypotension (OH) and cognitive impairment are common non-motor symptoms of Parkinson’s disease (PD). This study aimed to investigate whether impaired dynamic cerebral autoregulation (dCA) is associated with OH and Parkinson’s disease dementia (PDD), and analyze the related risk factors in patients with PDD. Materials and methods We enrolled 89 patients with PD and 20 age- and sex-matched healthy controls (HCs). Cognition and different cognitive domains were assessed by the Montreal Cognitive Assessment scale. Non-invasive continuous beat-to-beat blood pressure and cerebral blood flow velocity were assessed using a servo-controlled finger plethysmograph and transcranial Doppler, respectively. dCA was examined using supine and orthostatic changes with transfer function analysis to derive the autoregulatory parameters of phase, gain, and coherence. Logistic regression analysis was performed to determine the risk factors for PDD. Results We found that 21 (23.6%) patients with PD had OH. These patients showed worse cognitive performance in specific cognitive tasks, such as language and orientation. The patients with OH also had poorer dCA; the very low frequency (VLF) phase in two different postures was lower than that in patients without OH as well as HCs (both P < 0.05). And the normalized gain in the VLF and low frequency (LF) in standing position was higher in PD patients with and without OH than in HCs. PDD patients also had significantly higher LF normalized gain when standing than patients without dementia (P = 0.015), indicating impaired dCA. LF normalized gain in standing (odds ratio: 3.756, 95% confidence interval: 1.241–11.367) and education were significantly associated with PDD. Conclusion Diminished dCA may represent a potential mechanism for OH and cognitive impairment and low educational level might be a significant factor contributing to the increased risk of PDD.
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Affiliation(s)
- Hongxiu Chen
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Erhe Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Fubo Zhou
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Qiuping Li
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Jingrong Zeng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shanshan Mei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yingqi Xing
- Department of Vascular Ultrasonography, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Diagnostic Center of Vascular Ultrasound, Beijing, China
- Center of Vascular Ultrasonography, Beijing Institute of Brain Disorders, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
- *Correspondence: Yingqi Xing,
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Effects of square-stepping exercise on executive function in individuals with Parkinson's disease: A randomized controlled pilot study. Geriatr Nurs 2022; 47:273-279. [DOI: 10.1016/j.gerinurse.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 08/08/2022] [Accepted: 08/08/2022] [Indexed: 11/15/2022]
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Bagarinao E, Kawabata K, Watanabe H, Hara K, Ohdake R, Ogura A, Masuda M, Kato T, Maesawa S, Katsuno M, Sobue G. Connectivity impairment of cerebellar and sensorimotor connector hubs in Parkinson’s disease. Brain Commun 2022; 4:fcac214. [PMID: 36072644 PMCID: PMC9438962 DOI: 10.1093/braincomms/fcac214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 05/25/2022] [Accepted: 08/19/2022] [Indexed: 11/13/2022] Open
Abstract
Abstract
Cognitive and movement processes involved integration of several large-scale brain networks. Central to these integrative processes are connector hubs, brain regions characterized by strong connections with multiple networks. Growing evidence suggests that many neurodegenerative and psychiatric disorders are associated with connector hub dysfunctions. Using a network metric called functional connectivity overlap ratio, we investigated connector hub alterations in Parkinson’s disease. Resting-state functional MRI data from 99 patients (male/female = 44/55) and 99 age- and sex-matched healthy controls (male/female = 39/60) participating in our cross-sectional study were used in the analysis. We have identified two sets of connector hubs, mainly located in the sensorimotor cortex and cerebellum, with significant connectivity alterations with multiple resting-state networks. Sensorimotor connector hubs have impaired connections primarily with primary processing (sensorimotor, visual), visuospatial, and basal ganglia networks, whereas cerebellar connector hubs have impaired connections with basal ganglia and executive control networks. These connectivity alterations correlated with patients’ motor symptoms. Specifically, values of the functional connectivity overlap ratio of the cerebellar connector hubs were associated with tremor score, whereas that of the sensorimotor connector hubs with postural instability and gait disturbance score, suggesting potential association of each set of connector hubs with the disorder’s two predominant forms, the akinesia/rigidity and resting tremor subtypes. In addition, values of the functional connectivity overlap ratio of the sensorimotor connector hubs were highly predictive in classifying patients from controls with an accuracy of 75.76%. These findings suggest that, together with the basal ganglia, cerebellar and sensorimotor connector hubs are significantly involved in Parkinson’s disease with their connectivity dysfunction potentially driving the clinical manifestations typically observed in this disorder.
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Affiliation(s)
- Epifanio Bagarinao
- Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 461–8673 Japan
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
| | - Kazuya Kawabata
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Hirohisa Watanabe
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
- Department of Neurology, Fujita Health University School of Medicine , Toyoake, Aichi, 470-1192 Japan
| | - Kazuhiro Hara
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Reiko Ohdake
- Department of Neurology, Fujita Health University School of Medicine , Toyoake, Aichi, 470-1192 Japan
| | - Aya Ogura
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Michihito Masuda
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Toshiyasu Kato
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Satoshi Maesawa
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
- Department of Neurosurgery, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Masahisa Katsuno
- Department of Neurology, Nagoya University Graduate School of Medicine , Nagoya, Aichi, 466-8550 Japan
| | - Gen Sobue
- Brain & Mind Research Center, Nagoya University , Nagoya, Aichi, 466–8550 Japan
- Aichi Medical University , Nagakute, Aichi, 480-1195 Japan
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Byun JI, Cha KS, Kim M, Lee WJ, Lee HS, Sunwoo JS, Shin JW, Kim TJ, Jun JS, Kim HJ, Shin WC, Schenck CH, Lee SK, Jung KY. Association of Nucleus Basalis of Meynert Functional Connectivity and Cognition in Idiopathic Rapid-Eye-Movement Sleep Behavior Disorder. J Clin Neurol 2022; 18:562-570. [PMID: 36062774 PMCID: PMC9444555 DOI: 10.3988/jcn.2022.18.5.562] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 01/10/2022] [Accepted: 01/10/2022] [Indexed: 11/17/2022] Open
Abstract
Background and Purpose Cognitive impairments are common in isolated rapid-eye-movement sleep behavior disorder (iRBD), in which the cholinergic system may play an important role. This study aimed to characterize the cortical cholinergic activity using resting-state functional connectivity (FC) of the nucleus basalis of Meynert (NBM) according to the cognitive status of iRBD patients. Methods In this cross-sectional study, 33 patients with polysomnography-confirmed iRBD and 20 controls underwent neuropsychological evaluations and resting-state functional magnetic resonance imaging. Thirteen of the iRBD patients had mild cognitive impairment (iRBD-MCI), and the others were age-matched patients with normal cognition (iRBD-NC). The seed-to-voxel NBM–cortical FC was compared among the patients with iRBD-MCI, patients with iRBD-NC, and controls. Correlations between average values of significant clusters and cognitive function scores were calculated in the patients with iRBD. Results There were group differences in the FC of the NBM with the left lateral occipital cortex and lingual gyrus (adjusted for age, sex, and education level). The strength of FC was lower in the iRBD-MCI group than in the iRBD-NC and control groups (each post-hoc p<0.001). The average NBM–lateral occipital cortex FC was positively correlated with the memory-domain score in iRBD patients. Conclusions The results obtained in this study support that cortical cholinergic activity is impaired in iRBD patients with MCI. FC between NBM and posterior regions may play a central role in the cognitive function of these patients.
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Affiliation(s)
- Jung-Ick Byun
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Korea
| | - Kwang Su Cha
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea
| | - Woo-Jin Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Han Sang Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jun-Sang Sunwoo
- Department of Neurology, Kangbuk Samsung Hospital, Seoul, Korea
| | - Jung-Won Shin
- Department of Neurology, CHA University, CHA Bundang Medical Center, Seongnam, Korea
| | - Tae-Joon Kim
- Department of Neurology, Ajou University School of Medicine, Suwon, Korea
| | - Jin-Sun Jun
- Department of Neurology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Han-Joon Kim
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Won Chul Shin
- Department of Neurology, Kyung Hee University Hospital at Gangdong, Kyung Hee University College of Medicine, Seoul, Korea
| | - Carlos H Schenck
- Minnesota Regional Sleep Disorders Center, and Department of Psychiatry, Hennepin County Medical Center and University of Minnesota Medical School, Minneapolis, MN, USA
| | - Sang Kun Lee
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
| | - Ki-Young Jung
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
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Zhu Y, Yang B, Zhou C, Gao C, Hu Y, Yin WF, Yin K, Zhu Y, Jiang G, Ren H, Pang A, Yang X. Cortical atrophy is associated with cognitive impairment in Parkinson's disease: a combined analysis of cortical thickness and functional connectivity. Brain Imaging Behav 2022; 16:2586-2600. [PMID: 36044168 DOI: 10.1007/s11682-022-00714-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/28/2022] [Accepted: 08/07/2022] [Indexed: 11/30/2022]
Abstract
We aimed to perform a combined analysis of cortical thickness and functional connectivity to explore their association with cognitive impairment in Parkinson's disease (PD). A total of 53 PD and 15 healthy control subjects were enrolled. PD patients were divided into PD with normal cognition (PD-NC, n = 25), PD with mild cognitive impairment (PD-MCI, n = 11), and PD with dementia (PDD, n = 17). In some analyses, the PD-MCI and PDD groups were aggregated to represent "PD patients with cognitive impairment". Cognitive status was assessed with the Mini-Mental State Examination (MMSE). Anatomical magnetic resonance imaging and resting-state functional connectivity analysis were performed in all subjects. First, surface-based morphometry measurements of cortical thickness and voxels with cortical thickness reduction were detected. Then, regions showing reduced thickness were analyzed for changes in resting-state functional connectivity in PD involving cognitive impairment. Our results showed that, compared with PD-NC, patients with cognitive impairment showed decreased cortical thickness in the left superior temporal, left lingual, right insula, and right fusiform regions. PD-MCI patients showed these alterations in the right lingual region. Widespread cortical thinning was detected in PDD subjects, including the left superior temporal, left fusiform, right insula, and right fusiform areas. We found that cortical thinning in the left superior temporal, left fusiform, and right temporal pole regions positively correlated with MMSE score. In the resting-state functional connectivity analysis, we found a decrease in functional connectivity between the cortical atrophic brain areas mentioned above and cognition-related brain networks, as well as an increase in functional connectivity between those region and the cerebellum. Alterations in cortical thickness may result in a dysfunction of resting-state functional connectivity, contributing to cognitive decline in patients with PD. However, it is more probable that the relation between structure and FC would be bidirectional,and needs more research to explore in PD cognitve decline.
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Affiliation(s)
- Yongyun Zhu
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Baiyuan Yang
- Department of Neurology, Seventh People's Hospital of Chengdu, 690041, Chengdu, Sichuan Province, P.R. China
| | - Chuanbin Zhou
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Chao Gao
- Department of medical imaging, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Yanfei Hu
- Department of medical imaging, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Wei Fang Yin
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Kangfu Yin
- Department of Neurology, Qujing City First People's Hospital, 655099, Qujing, Yunnan Province, P.R. China
| | - Yangfan Zhu
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Guoliang Jiang
- Department of neurosurgery, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Hui Ren
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China
| | - Ailan Pang
- Department of Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China.
| | - Xinglong Yang
- Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China. .,Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 650032, Kunming, Yunnan Province, P.R. China.
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Kang M, An JR, Li H, Zhuang W, Heo R, Park S, Mun SY, Park M, Seo MS, Han ET, Han JH, Chun W, Park WS. Blockade of voltage-dependent K+ channels by benztropine, a muscarinic acetylcholine receptor inhibitor, in coronary arterial smooth muscle cells. Toxicol Sci 2022; 189:260-267. [PMID: 35944222 DOI: 10.1093/toxsci/kfac083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
We investigated the effect of the acetylcholine muscarinic receptor inhibitor benztropine on voltage-dependent K+ (Kv) channels in rabbit coronary arterial smooth muscle cells. Benztropine inhibited Kv currents in a concentration-dependent manner, with an apparent IC50 value of 6.11 ± 0.80 μM and Hill coefficient of 0.62 ± 0.03. Benztropine shifted the steady-state activation curves toward a more positive potential, and the steady-state inactivation curves toward a more negative potential, suggesting that benztropine inhibited Kv channels by affecting the channel voltage sensor. Train pulse (1 or 2 Hz)-induced Kv currents were effectively reduced by the benztropine treatment. Furthermore, recovery time constants of Kv current inactivation increased significantly in response to benztropine. These results suggest that benztropine inhibited vascular Kv channels in a use (state)-dependent manner. The inhibitory effect of benztropine was canceled by pretreatment with the Kv 1.5 inhibitor, but there was no obvious change after pretreatment with Kv 2.1 or Kv7 inhibitors. In conclusion, benztropine inhibited the Kv current in a concentration- and use (state)-dependent manner. Inhibition of the Kv channels by benztropine primarily involved the Kv1.5 subtype. Restrictions are required when using benztropine to patients with vascular disease.
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Affiliation(s)
- Minji Kang
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Jin Ryeol An
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Hongliang Li
- Institute of Translational Medicine, Medical College, Jiangsu Key laboratory of integrated traditional Chinese and Western Medicine for prevention and treatment of Senile Diseases, Yangzhou University, Yangzhou, 225001, PR China
| | - Wenwen Zhuang
- Institute of Translational Medicine, Medical College, Jiangsu Key laboratory of integrated traditional Chinese and Western Medicine for prevention and treatment of Senile Diseases, Yangzhou University, Yangzhou, 225001, PR China
| | - Ryeon Heo
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Seojin Park
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Seo-Yeong Mun
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Minju Park
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Mi Seon Seo
- Department of Physiology, Konkuk University School of Medicine, Chungju, 27478, South Korea
| | - Eun-Taek Han
- Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Jin-Hee Han
- Department of Medical Environmental Biology and Tropical Medicine, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Wanjoo Chun
- Department of Pharmacology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
| | - Won Sun Park
- Department of Physiology, Kangwon National University School of Medicine, Chuncheon, 24341, South Korea
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Chronic Cerebral Hypoperfusion Aggravates Parkinson’s Disease Dementia-Like Symptoms and Pathology in 6-OHDA-Lesioned Rat through Interfering with Sphingolipid Metabolism. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:5392966. [PMID: 35979400 PMCID: PMC9377946 DOI: 10.1155/2022/5392966] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022]
Abstract
Chronic cerebral hypoperfusion (CCH) is a cardinal risk factor for Parkinson's disease dementia (PDD), but this potential causality lacks mechanistic evidence. We selected bilateral common carotid artery occlusion (BCCAO) to simulate chronic cerebral hypoperfusion in the rat model of PD induced by typical neurotoxin 6-hydroxy dopamine (6-OHDA). Four weeks after unilateral injection of 6-OHDA into the medial forebrain bundle, rats underwent BCCAO. Male Sprague-Dawley rats were divided into five groups of ten, including sham, PD+BCCAO 2 weeks, PD+BCCAO 1 week, PD, and BCCAO 2 weeks. Then, open field test (OFT) and Morris water maze test (MWM) were used to assess the PDD-like symptoms in rats. Also, the pathological manifestations and mechanisms of BCCAO impairing cognitive functions have been explored via hematoxylin-eosin staining, Nissl staining, immunohistochemistry, immunofluorescence, RNA sequencing analysis, lipidomics, and quantitative real-time polymerase chain reaction. In this study, we found that CCH could aggravate PDD-like cognitive symptoms (i.e., learning memory and spatial cognition) and PDD-like pathology (higher expression of α-Syn and Aβ in prefrontal cortex and striatum). Moreover, a potential relationship between differentially expressed mRNAs and lipid metabolism was revealed by RNA sequencing analysis. Lipidomics showed that CCH could affect the intensity of 5 lipids, including sphingomyelin (SM 9:0;2O/26:2; SM 8:1;2O/25:0; and SM 8:0;2O/28:4), cardiolipin, lysophosphatidylcholine, cholesteryl ester, and triacylglycerol. Interestingly, the KEGG pathway analysis of both RNA sequencing analysis and lipidomics suggested that CCH leaded to learning impairment by affecting sphingolipid metabolism. Finally, we found that CCH disrupts the sphingolipid metabolism by affecting the mRNA expression of SMPD1 and SMS2, leading to the accumulation of sphingomyelin in the prefrontal cortex. In summary, CCH, an independent exacerbating reason for impairment in learning and memory within the pathopoiesis of PD, aggravates Parkinson's disease dementia-like symptoms and pathology in 6-OHDA-lesioned rat through interfering with sphingolipid metabolism.
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Yang X, Li Z, Bai L, Shen X, Wang F, Han X, Zhang R, Li Z, Zhang J, Dong M, Wang Y, Cao T, Zhao S, Chu C, Liu C, Zhu X. Association of Plasma and Electroencephalography Markers With Motor Subtypes of Parkinson’s Disease. Front Aging Neurosci 2022; 14:911221. [PMID: 35903537 PMCID: PMC9314775 DOI: 10.3389/fnagi.2022.911221] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Accepted: 06/16/2022] [Indexed: 11/30/2022] Open
Abstract
Objective The aim of this study was to investigate the correlations of plasma neurodegenerative proteins and electroencephalography (EEG) dynamic functional network (DFN) parameters with disease progression in early Parkinson’s disease (PD) with different motor subtypes, including tremor-dominant (TD) and postural instability and gait disorder (PIGD). Methods In our study, 33 patients with PD (21 TD and 12 PIGD) and 33 healthy controls (HCs) were enrolled. Plasma neurofilament light chain (NfL), α-synuclein (α-syn), total-tau (t-tau), β-amyloid 42 (Aβ42), and β-amyloid 40 (Aβ40) levels were measured using an ultrasensitive single-molecule array (Simoa) immunoassay. All the patients with PD underwent EEG quantified by DFN analysis. The motor and non-motor performances were evaluated by a series of clinical assessments. Subsequently, a correlation analysis of plasma biomarkers and EEG measures with clinical scales was conducted. Results In the TD group, plasma NfL exhibited a significant association with MDS-UPDRS III and Montreal Cognitive Assessment (MoCA). A higher Aβ42/40 level was significantly related to a decrease in Hamilton Depression Rating Scale (HAMD) and Hamilton Anxiety Rating Scale (HAMA) in the PIGD group. In terms of the correlation between EEG characteristic parameters and clinical outcomes, trapping time (TT) delta was positively correlated with MDS-UPDRS III and MoCA scores in the TD group, especially in the prefrontal and frontal regions. For other non-motor symptoms, there were significant direct associations of kPLI theta with HAMD and HAMA, especially in the prefrontal region, and kPLI gamma was particularly correlated with Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire (RBDSQ) scores in the prefrontal, frontal, and parietal regions in the TD group. Furthermore, there was a significant positive correlation between plasma t-tau and kPLI, and pairwise correlations were found among plasma NfL, theta TT, and MoCA scores in the TD group. Conclusion These results provide evidence that plasma neurodegenerative proteins and EEG measures have great potential in predicting the disease progression of PD subtypes, especially for the TD subtype. A combination of these two kinds of markers may have a superposition effect on monitoring and estimating the prognosis of PD subtypes and deserves further research in larger, follow-up PD cohorts.
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Affiliation(s)
- Xiaoxia Yang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhen Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Lipeng Bai
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiao Shen
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Fei Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoxuan Han
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Rui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhuo Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinghui Zhang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Mengmeng Dong
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yanlin Wang
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Tingyu Cao
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Shujun Zhao
- National Health Commission Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute Endocrinology, Tianjin Medical University, Tianjin, China
| | - Chunguang Chu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- *Correspondence: Chunguang Chu,
| | - Chen Liu
- School of Electrical and Information Engineering, Tianjin University, Tianjin, China
- Chen Liu,
| | - Xiaodong Zhu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
- Xiaodong Zhu,
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Brak IV, Filimonova E, Zakhariya O, Khasanov R, Stepanyan I. Transcranial Current Stimulation as a Tool of Neuromodulation of Cognitive Functions in Parkinson’s Disease. Front Neurosci 2022; 16:781488. [PMID: 35903808 PMCID: PMC9314857 DOI: 10.3389/fnins.2022.781488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 04/28/2022] [Indexed: 11/13/2022] Open
Abstract
Decrease in cognitive function is one of the most common causes of poor life quality and early disability in patients with Parkinson’s disease (PD). Existing methods of treatment are aimed at both correction of motor and non-motor symptoms. Methods of adjuvant therapy (or complementary therapy) for maintaining cognitive functions in patients with PD are of interest. A promising subject of research in this regard is the method of transcranial electric current stimulation (tES). Here we reviewed the current understanding of the pathogenesis of cognitive impairment in PD and of the effects of transcranial direct current stimulation and transcranial alternating current stimulation on the cognitive function of patients with PD-MCI (Parkinson’s Disease–Mild Cognitive Impairment).
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Affiliation(s)
- Ivan V. Brak
- Laboratory of Comprehensive Problems of Risk Assessment to Population and Workers’ Health, Federal State Budgetary Scientific Institution “Izmerov Research Institute of Occupational Health”, Moscow, Russia
- “Engiwiki” Scientific and Engineering Projects Laboratory, Department of Information Technologies, Novosibirsk State University, Novosibirsk, Russia
- *Correspondence: Ivan V. Brak,
| | | | - Oleg Zakhariya
- Faculty of Philosophy, Lomonosov Moscow State University, Moscow, Russia
| | - Rustam Khasanov
- Faculty of Philosophy, Lomonosov Moscow State University, Moscow, Russia
- Independent Researcher, Novosibirsk, Russia
| | - Ivan Stepanyan
- Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia
- Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia
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