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Shoushtarian M, Esmaelpoor J, Bravo MMG, Fallon JB. Cochlear implant induced changes in cortical networks associated with tinnitus severity. J Neural Eng 2024; 21:056009. [PMID: 39178903 DOI: 10.1088/1741-2552/ad731d] [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: 02/11/2024] [Accepted: 08/23/2024] [Indexed: 08/26/2024]
Abstract
Objective.We investigated tinnitus-related cortical networks in cochlear implant users who experience tinnitus and whose perception of tinnitus changes with use of their implant. Tinnitus, the perception of unwanted sounds which are not present externally, can be a debilitating condition. In individuals with cochlear implants, use of the implant is known to modulate tinnitus, often improving symptoms but worsening them in some cases. Little is known about underlying cortical changes with use of the implant, which lead to changes in tinnitus perception. In this study we investigated whether changes in brain networks with the cochlear implant turned on and off, were associated with changes in tinnitus perception, as rated subjectively.Approach.Using functional near-infrared spectroscopy, we recorded cortical activity at rest, from 14 cochlear implant users who experienced tinnitus. Recordings were performed with the cochlear implant turned off and on. For each condition, participants rated the loudness and annoyance of their tinnitus using a visual rating scale. Changes in neural synchrony have been reported in humans and animal models of tinnitus. To assess neural synchrony, functional connectivity networks with the implant turned on and off, were compared using two network features: node strength and diversity coefficient.Main results.Changes in subjective ratings of loudness were significantly correlated with changes in node strength, averaged across occipital channels (r=-0.65, p=0.01). Changes in both loudness and annoyance were significantly correlated with changes in diversity coefficient averaged across all channels (r=-0.79,p<0.001 and r=-0.86,p<0.001). More distributed connectivity with the implant on, compared to implant off, was associated with a reduction in tinnitus loudness and annoyance.Significance.A better understanding of neural mechanisms underlying tinnitus suppression with cochlear implant use, could lead to their application as a tinnitus treatment and pave the way for effective use of other less invasive stimulation-based treatments.
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Affiliation(s)
- Mehrnaz Shoushtarian
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
| | - Jamal Esmaelpoor
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
| | | | - James B Fallon
- The Bionics Institute, East Melbourne, Victoria, Australia
- Medical Bionics Department, The University of Melbourne, Melbourne, Australia
- Department of Otolaryngology, The University of Melbourne, Melbourne, Australia
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Li X, Pang H, Bu S, Zhao M, Wang J, Liu Y, Yu H, Fan G. Stage-dependent differential impact of network communication on cognitive function across the continuum of cognitive decline in Parkinson's disease. Neurobiol Dis 2024; 199:106578. [PMID: 38925316 DOI: 10.1016/j.nbd.2024.106578] [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: 04/02/2024] [Revised: 06/04/2024] [Accepted: 06/23/2024] [Indexed: 06/28/2024] Open
Abstract
OBJECTIVE Our objective was to explore the patterns of resting-state network (RSN) connectivity alterations and investigate how the influences of individual-level network connections on cognition varied across clinical stages without assuming a constant relationship. METHODS 108 PD patients with continuum of cognitive decline (PD-NC = 46, PD-MCI = 43, PDD = 19) and 34 healthy controls (HCs) underwent resting-state functional MRI and neuropsychological tests. Independent component analysis (ICA) and graph theory analyses (GTA) were employed to explore RSN connection changes. Additionally, stage-dependent differential impact of network communication on cognitive performance were examined using sparse varying coefficient modeling. RESULTS Compared to HCs, the dorsal attention network (DAN) and dorsal sensorimotor network (dSMN) were central networks with decreased connections in PD-NC and PD-MCI stage, while the lateral visual network (LVN) emerged as a central network in patients with dementia. Additionally, connectivity of the cerebellum network (CBN) increased in the PD-NC and PD-MCI stages. GTA demonstrated decreased nodal metrics for DAN and dSMN, coupled with an increase for CBN. Moreover, the degree centrality (DC) values of DAN and dSMN exhibited a stage-dependent differential impact on cognitive performance across the continuum of cognitive decline. CONCLUSION Our findings suggest that across the progression of cognitive impairment, the LVN gradually transitions into a core node with reduced connectivity, while the enhancement of connections in CBN diminishes. Furthermore, the non-linear relationship between the DC values of RSNs and cognitive decline indicates the potential for tailored interventions targeting specific stages.
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Affiliation(s)
- Xiaolu Li
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Huize Pang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Shuting Bu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Mengwan Zhao
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Juzhou Wang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Yu Liu
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Hongmei Yu
- Department of Neurology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China.
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Kim E, Yun SJ, Oh BM, Seo HG. Changes of neural coupling between cognitive and motor networks associated with dual-task performance in Parkinson's disease. Neurol Sci 2024; 45:2651-2659. [PMID: 38153677 DOI: 10.1007/s10072-023-07255-0] [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: 11/06/2023] [Accepted: 12/02/2023] [Indexed: 12/29/2023]
Abstract
BACKGOUND Although cognitive control is essential for efficient gait, the associations between cognitive and motor networks regarding gait in individuals with Parkinson's disease (PD) remain to be determined. Herein, we enrolled 28 PD and 28 controls to compare internetwork coupling among cognitive and motor networks and examine its relationship with single- and dual-task gait performance in PD. METHODS The dorsal attention network (DAN), left and right frontoparietal control networks (FPNs), sensorimotor network, and lateral motor network were identified using resting-state functional magnetic resonance imaging data. The time taken to complete a 10-m walk test during cognitive or physical dual-tasks in PD was calculated representing gait performance. RESULTS We observed that the internetwork couplings between the DAN and motor networks and between the motor networks decreased whereas those between the left FPN and DAN and motor networks increased in PD compared to controls using a permutation test. There was no significant correlation between the internetwork couplings and single- and dual-task gait performance in PD. Nevertheless, improved cognitive dual-task performance showed a positive correlation with the DAN and left FPN coupling and a negative correlation with the DAN and lateral motor network coupling in a good performance group. The opposite relationship was observed in the poor cognitive dual-task performance group. CONCLUSION Our findings suggest a neural mechanism of cognitive control on gait to compensate for reduced goal-directed attention in PD who maintain cognitive dual-task performance.
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Affiliation(s)
- Eunkyung Kim
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Seo Jung Yun
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Byung-Mo Oh
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Institute On Aging, Seoul National University, 1, Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Korea
| | - Han Gil Seo
- Department of Rehabilitation Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
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Müller-Nedebock AC, Dekker MCJ, Farrer MJ, Hattori N, Lim SY, Mellick GD, Rektorová I, Salama M, Schuh AFS, Stoessl AJ, Sue CM, Tan AH, Vidal RL, Klein C, Bardien S. Different pieces of the same puzzle: a multifaceted perspective on the complex biological basis of Parkinson's disease. NPJ Parkinsons Dis 2023; 9:110. [PMID: 37443150 DOI: 10.1038/s41531-023-00535-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/22/2023] [Indexed: 07/15/2023] Open
Abstract
The biological basis of the neurodegenerative movement disorder, Parkinson's disease (PD), is still unclear despite it being 'discovered' over 200 years ago in Western Medicine. Based on current PD knowledge, there are widely varying theories as to its pathobiology. The aim of this article was to explore some of these different theories by summarizing the viewpoints of laboratory and clinician scientists in the PD field, on the biological basis of the disease. To achieve this aim, we posed this question to thirteen "PD experts" from six continents (for global representation) and collated their personal opinions into this article. The views were varied, ranging from toxin exposure as a PD trigger, to LRRK2 as a potential root cause, to toxic alpha-synuclein being the most important etiological contributor. Notably, there was also growing recognition that the definition of PD as a single disease should be reconsidered, perhaps each with its own unique pathobiology and treatment regimen.
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Affiliation(s)
- Amica C Müller-Nedebock
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Marieke C J Dekker
- Department of Internal Medicine, Kilimanjaro Christian Medical Centre, Moshi, Tanzania
| | - Matthew J Farrer
- Norman Fixel Institute for Neurological Diseases, McKnight Brain Institute, University of Florida, Gainesville, FL, USA
| | - Nobutaka Hattori
- Research Institute of Disease of Old Age, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
- Department of Neurology, Juntendo University School of Medicine, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
- Neurodegenerative Disorders Collaborative Laboratory, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama, 351-0106, Japan
| | - Shen-Yang Lim
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- The Mah Pooi Soo & Tan Chin Nam Centre for Parkinson's & Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - George D Mellick
- Griffith Institute of Drug Discovery (GRIDD), Griffith University, Brisbane, QLD, Australia
| | - Irena Rektorová
- First Department of Neurology and International Clinical Research Center, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Applied Neuroscience Research Group, CEITEC, Masaryk University, Brno, Czech Republic
| | - Mohamed Salama
- Institute of Global Health and Human Ecology (I-GHHE), The American University in Cairo (AUC), New Cairo, 11835, Egypt
- Faculty of Medicine, Mansoura University, Dakahleya, Egypt
- Atlantic Senior Fellow for Equity in Brain Health at the Global Brain Health Institute (GBHI), Trinity College Dublin (TCD), Dublin, Ireland
| | - Artur F S Schuh
- Departamento de Farmacologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - A Jon Stoessl
- Pacific Parkinson's Research Centre, Department of Medicine (Division of Neurology), Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Carolyn M Sue
- Neuroscience Research Australia; Faculty of Medicine, University of New South Wales; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst; Department of Neurology, Prince of Wales Hospital, South Eastern Sydney Local Health District, Randwick, NSW, Australia
| | - Ai Huey Tan
- Division of Neurology, Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- The Mah Pooi Soo & Tan Chin Nam Centre for Parkinson's & Related Disorders, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Rene L Vidal
- Instituto de Neurociencia Biomédica (BNI), Facultad de Medicina, Universidad de Chile, Santiago, Chile
- Centro FONDAP de Gerociencia, Salud Mental y Metabolismo (GERO), Santiago, Chile
- Centro de Biología Integrativa, Facultad de Ciencias, Universidad Mayor, Santiago, Chile
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck and University Hospital Schleswig-Holstein, Lübeck, Germany.
| | - Soraya Bardien
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa.
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Abstract
OBJECTIVE While Parkinson's disease is associated with impairments in many aspects of prospective cognition, no study to date has tested whether these difficulties extend to problems using episodic foresight to guide future-directed behavior. To provide the first examination of whether people with Parkinson's disease are impaired in their capacity to initiate and apply episodic foresight. METHOD People with Parkinson's disease (n = 42), and a demographically matched neurotypical comparison group (n = 42) completed a validated behavioral assessment that met strict criteria for assessing episodic foresight (Virtual Week-Foresight), as well as a broader neurocognitive and clinical test battery. RESULTS People with Parkinson's disease were significantly less likely than the comparison group to acquire items that would later allow a problem to be solved and were also less likely to subsequently use these items for problem resolution. These deficits were largely unrelated to performance on other cognitive measures or clinical characteristics of the disorder. CONCLUSIONS The ability to engage in episodic foresight in an adaptive way is compromised in Parkinson's disease. This appears to be a stable feature of the disorder, and one that is distinct from other clinical symptoms and neurocognitive deficits. It is now critical to establish exactly why these difficulties exist and how they impact on real-life functional capacity.
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Ay U, Gürvit İH. Alterations in Large-Scale Intrinsic Connectivity Networks in the Parkinson's Disease-Associated Cognitive Impairment Continuum: A Systematic Review. Noro Psikiyatr Ars 2022; 59:S57-S66. [PMID: 36578982 PMCID: PMC9767132 DOI: 10.29399/npa.28209] [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: 05/24/2022] [Accepted: 06/08/2022] [Indexed: 12/31/2022] Open
Abstract
Introduction Cognitive impairment is common in the course of Parkinson's disease (PD) and displays a continuum from subjective cognitive impairment to dementia. Illuminating the pathophysiological processes associated with the continuum may help create follow-up and new treatment approaches. In this context, large-scale intrinsic connectivity networks are widely investigated to elucidate the neural processes underlying PD and are promising as non-invasive biomarkers. This systematic review aims to examine the alterations in large-scale intrinsic connectivity networks in the continuum of PD-associated cognitive impairment. Method ScienceDirect, Web of Science, and PubMed databases were searched with the specified keywords. The studies obtained as a result of this review were investigated by the PRISMA criteria, which were taken as a basis for the systematic review and writing of meta-analyses. Results A total of 974 studies were obtained from three databases. Twenty studies were included in the systematic review based on predetermined eligibility criteria. Among the large-scale connectivity networks examined in these studies, it was found that sensory-motor networks decreased their connectivity in the continuum of PD-associated cognitive impairment, and there were conflicting results in terms of cognitive networks. Conclusion Well-designed longitudinal studies are needed to clarify the alterations in the intrinsic connectivity networks in the PD cognitive impairment continuum. In these studies, it is necessary to define the cognitive disorder groups well, to control the connectivity changes that may occur due to dopaminergic treatment, and to evaluate Parkinson's patients with subjective cognitive impairment and dementia within the continuum.
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Affiliation(s)
- Ulaş Ay
- Neuroimaging Unit, Hulusi Behçet Life Sciences Research Laboratory, Istanbul University, Istanbul, Turkey,Department of Neuroscience, Aziz Sancar Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey,Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey,Correspondence Address: Ulaş Ay, İstanbul Üniversitesi, Hulusi Behçet Yaşam Bilimleri Araştırma Laboratuvarı, Nörogörüntüleme Birimi, Turgut Özal Millet Cd, 34093, Fatih, İstanbul, Turkey • E-mail:
| | - İ. Hakan Gürvit
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Combining CRISPR-Cas9 and brain imaging to study the link from genes to molecules to networks. Proc Natl Acad Sci U S A 2022; 119:e2122552119. [PMID: 36161926 DOI: 10.1073/pnas.2122552119] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Receptors, transporters, and ion channels are important targets for therapy development in neurological diseases, but their mechanistic role in pathogenesis is often poorly understood. Gene editing and in vivo imaging approaches will help to identify the molecular and functional role of these targets and the consequence of their regional dysfunction on the whole-brain level. We combine CRISPR-Cas9 gene editing with in vivo positron emission tomography (PET) and functional MRI (fMRI) to investigate the direct link between genes, molecules, and the brain connectome. The extensive knowledge of the Slc18a2 gene encoding the vesicular monoamine transporter (VMAT2), involved in the storage and release of dopamine, makes it an excellent target for studying the gene network relationships while structurally preserving neuronal integrity and function. We edited the Slc18a2 in the substantia nigra pars compacta of adult rats and used in vivo molecular imaging besides behavioral, histological, and biochemical assessments to characterize the CRISPR-Cas9-mediated VMAT2 knockdown. Simultaneous PET/fMRI was performed to investigate molecular and functional brain alterations. We found that stage-specific adaptations of brain functional connectivity follow the selective impairment of presynaptic dopamine storage and release. Our study reveals that recruiting different brain networks is an early response to the dopaminergic dysfunction preceding neuronal cell loss. Our combinatorial approach is a tool to investigate the impact of specific genes on brain molecular and functional dynamics, which will help to develop tailored therapies for normalizing brain function.
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Aksu S, Uslu A, İşçen P, Tülay EE, Barham H, Soyata AZ, Demirtas-Tatlidede A, Yıldız GB, Bilgiç B, Hanağası H, Woods AJ, Karamürsel S, Uyar FA. Does transcranial direct current stimulation enhance cognitive performance in Parkinson's disease mild cognitive impairment? An event-related potentials and neuropsychological assessment study. Neurol Sci 2022; 43:4029-4044. [PMID: 35322340 DOI: 10.1007/s10072-022-06020-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 03/16/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Parkinson's disease-mild cognitive impairment (PD-MCI) is garnering attention as a key interventional period for cognitive impairment. Currently, there are no approved treatments for PD-MCI and encouraging results of transcranial direct current stimulation (tDCS) combined with other interventions have been proposed, though the efficacy and neural mechanisms of tDCS alone have not been studied in PD-MCI yet. OBJECTIVES The present double-blind, randomized, sham-controlled study assessed the effects of tDCS over the dorsolateral prefrontal cortex on cognitive functions via neuropsychological and electrophysiological evaluations in individuals with PD-MCI for the first time. METHOD Twenty-six individuals with PD-MCI were administered 10 sessions of active (n = 13) or sham (n = 13) prefrontal tDCS twice a day, for 5 days. Changes were tested through a comprehensive neuropsychological battery and event-related potential recordings, which were performed before, immediately, and 1 month after the administrations. RESULTS Neuropsychological assessment showed an improvement in delayed recall and executive functions in the active group. N1 amplitudes in response to targets in the oddball test-likely indexing attention and discriminability and NoGo N2 amplitudes in the continuous performance test-likely indexing cognitive control and conflict monitoring increased in the active group. Active stimulation elicited higher benefits 1 month after the administrations. CONCLUSION The present findings substantiate the efficacy of tDCS on cognitive control and episodic memory, along with the neural underpinnings of cognitive control, highlighting its potential for therapeutic utility in PD-MCI. TRIAL REGISTRATION NCT 04,171,804. Date of registration: 21/11/2019.
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Affiliation(s)
- Serkan Aksu
- Department of Physiology, Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey.
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
- Department of Physiology, Faculty of Medicine, Muğla Sıtkı Koçman University, Muğla, Turkey.
| | - Atilla Uslu
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Pınar İşçen
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Emine Elif Tülay
- Department of Software Engineering, Faculty of Engineering, Muğla Sıtkı Koçman University, Muğla, Turkey
| | - Huzeyfe Barham
- Department of Psychiatry, Kırklareli Research and Training Hospital, Kırklareli, Turkey
| | | | | | | | - Başar Bilgiç
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Haşmet Hanağası
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Adam J Woods
- Department of Clinical and Health Psychology, Center for Cognitive Aging and Memory, McKnight Brain Institute, Cognitive Aging and Memory Clinical Translational Research Program, University of Florida, Gainesville, USA
| | - Sacit Karamürsel
- Department of Physiology, School of Medicine, Koç University, Istanbul, Turkey
| | - Fatma Aytül Uyar
- Department of Physiology, Graduate School of Health Sciences, Istanbul University, Istanbul, Turkey
- Department of Physiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Wei X, Shen Q, Litvan I, Huang M, Lee RR, Harrington DL. Internetwork Connectivity Predicts Cognitive Decline in Parkinson’s and Is Altered by Genetic Variants. Front Aging Neurosci 2022; 14:853029. [PMID: 35418853 PMCID: PMC8996114 DOI: 10.3389/fnagi.2022.853029] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 03/02/2022] [Indexed: 12/30/2022] Open
Abstract
In Parkinson’s disease (PD) functional changes in the brain occur years before significant cognitive symptoms manifest yet core large-scale networks that maintain cognition and predict future cognitive decline are poorly understood. The present study investigated internetwork functional connectivity of visual (VN), anterior and posterior default mode (aDMN, pDMN), left/right frontoparietal (LFPN, RFPN), and salience (SN) networks in 63 cognitively normal PD (PDCN) and 43 healthy controls who underwent resting-state functional MRI. The functional relevance of internetwork coupling topologies was tested by their correlations with baseline cognitive performance in each group and with 2-year cognitive changes in a PDCN subsample. To disentangle heterogeneity in neurocognitive functioning, we also studied whether α-synuclein (SNCA) and microtubule-associated protein tau (MAPT) variants alter internetwork connectivity and/or accelerate cognitive decline. We found that internetwork connectivity was largely preserved in PDCN, except for reduced pDMN-RFPN/LFPN couplings, which correlated with poorer baseline global cognition. Preserved internetwork couplings also correlated with domain-specific cognition but differently for the two groups. In PDCN, stronger positive internetwork coupling topologies correlated with better cognition at baseline, suggesting a compensatory mechanism arising from less effective deployment of networks that supported cognition in healthy controls. However, stronger positive internetwork coupling topologies typically predicted greater longitudinal decline in most cognitive domains, suggesting that they were surrogate markers of neuronal vulnerability. In this regard, stronger aDMN-SN, LFPN-SN, and/or LFPN-VN connectivity predicted longitudinal decline in attention, working memory, executive functioning, and visual cognition, which is a risk factor for dementia. Coupling strengths of some internetwork topologies were altered by genetic variants. PDCN carriers of the SNCA risk allele showed amplified anticorrelations between the SN and the VN/pDMN, which supported cognition in healthy controls, but strengthened pDMN-RFPN connectivity, which maintained visual memory longitudinally. PDCN carriers of the MAPT risk allele showed greater longitudinal decline in working memory and increased VN-LFPN connectivity, which in turn predicted greater decline in visuospatial processing. Collectively, the results suggest that cognition is maintained by functional reconfiguration of large-scale internetwork communications, which are partly altered by genetic risk factors and predict future domain-specific cognitive progression.
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Affiliation(s)
- Xiangyu Wei
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Revelle College, University of California San Diego, La Jolla, CA, United States
| | - Qian Shen
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Irene Litvan
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
| | - Mingxiong Huang
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Roland R. Lee
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Radiology, University of California San Diego, La Jolla, CA, United States
| | - Deborah L. Harrington
- Research and Radiology Services, VA San Diego Healthcare System, San Diego, CA, United States
- Department of Neurosciences, University of California San Diego, La Jolla, CA, United States
- *Correspondence: Deborah L. Harrington,
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Bottino F, Lucignani M, Pasquini L, Mastrogiovanni M, Gazzellini S, Ritrovato M, Longo D, Figà-Talamanca L, Rossi Espagnet MC, Napolitano A. Spatial Stability of Functional Networks: A Measure to Assess the Robustness of Graph-Theoretical Metrics to Spatial Errors Related to Brain Parcellation. Front Neurosci 2022; 15:736524. [PMID: 35250432 PMCID: PMC8894326 DOI: 10.3389/fnins.2021.736524] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 12/28/2021] [Indexed: 12/12/2022] Open
Abstract
There is growing interest in studying human brain connectivity and in modelling the brain functional structure as a network. Brain network creation requires parcellation of the cerebral cortex to define nodes. Parcellation might be affected by possible errors due to inter- and intra-subject variability as a consequence of brain structural and physiological characteristics and shape variations related to ageing and diseases, acquisition noise, and misregistration. These errors could induce a knock-on effect on network measure variability. The aim of this study was to investigate spatial stability, a measure of functional connectivity variations induced by parcellation errors. We simulated parcellation variability with random small spatial changes and evaluated its effects on twenty-seven graph-theoretical measures. The study included subjects from three public online datasets. Two brain parcellations were performed using FreeSurfer with geometric atlases. Starting from these, 100 new parcellations were created by increasing the area of 30% of parcels, reducing the area of neighbour parcels, with a rearrangement of vertices. fMRI data were filtered with linear regression, CompCor, and motion correction. Adjacency matrices were constructed with 0.1, 0.2, 0.3, and 0.4 thresholds. Differences in spatial stability between datasets, atlases, and threshold were evaluated. The higher spatial stability resulted for Characteristic-path-length, Density, Transitivity, and Closeness-centrality, and the lower spatial stability resulted for Bonacich and Katz. Multivariate analysis showed a significant effect of atlas, datasets, and thresholds. Katz and Bonacich centrality, which was subject to larger variations, can be considered an unconventional graph measure, poorly implemented in the clinical field and not yet investigated for reliability assessment. Spatial stability (SS) is affected by threshold, and it decreases with increasing threshold for several measures. Moreover, SS seems to depend on atlas choice and scanning parameters. Our study highlights the importance of paying close attention to possible parcellation-related spatial errors, which may affect the reliability of functional connectivity measures.
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Affiliation(s)
- Francesca Bottino
- Medical Physics Department, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | - Martina Lucignani
- Medical Physics Department, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | - Luca Pasquini
- Neuroradiology Unit, NESMOS Department, Sant’Andrea Hospital, La Sapienza University, Rome, Italy
- Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | | | - Simone Gazzellini
- Neuroscience and Neurorehabilitation Department, Bambino Gesù Children’s Hospital – IRCCS, Rome, Italy
| | - Matteo Ritrovato
- Health Technology and Safety Research Unit, Bambino Gesù Children’s Hospital – IRCCS, Rome, Italy
| | - Daniela Longo
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Lorenzo Figà-Talamanca
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
| | - Maria Camilla Rossi Espagnet
- Neuroradiology Unit, Imaging Department, Bambino Gesù Children’s Hospital, IRCCS, Rome, Italy
- NESMOS, Neuroradiology Department, S. Andrea Hospital Sapienza Rome University, Rome, Italy
| | - Antonio Napolitano
- Medical Physics Department, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
- *Correspondence: Antonio Napolitano,
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11
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Mitterová K, Klobušiaková P, Šejnoha Minsterová A, Kropáčová S, Balážová Z, Točík J, Vaculíková P, Skotáková A, Grmela R, Rektorová I. Impact of cognitive reserve on dance intervention-induced changes in brain plasticity. Sci Rep 2021; 11:18527. [PMID: 34535714 PMCID: PMC8448766 DOI: 10.1038/s41598-021-97323-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 08/10/2021] [Indexed: 02/08/2023] Open
Abstract
Dance is a complex sensorimotor activity with positive effects on physical fitness, cognition, and brain plasticity in the aging population. We explored whether individual levels of cognitive reserve (CR) proxied by education moderate dance intervention (DI)-induced plasticity assessed by resting-state functional connectivity (rs-FC) changes of the sensorimotor network (SMN), and between the dorsal attention network (DAN) and anterior default mode network (aDMN). Our cohort consisted of 99 subjects, randomly assigned to either a DI group who underwent a 6-month intervention (n = 49, Mage = 69.02 ± 5.40) or a control group (n = 50, Mage = 69.37 ± 6.10). Moderation analyses revealed that CR moderated DI-induced increase of the SMN rs-FC with significant changes observed in participants with ≥ 15 years of education (b = 0.05, t(62) = 3.17, p = 0.002). Only DI alone was a significant predictor of the DAN-aDMN crosstalk change (b = 0.06, t(64) = 2.16, p = 0.035). The rs-FC increase in the SMN was correlated with an improved physical fitness measure, and changes in the DAN-aDMN connectivity were linked to better performance on figural fluency. Consistent with the passive CR hypothesis, we observed that CR correlated only with baseline behavioral scores, not their change.
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Affiliation(s)
- Kristína Mitterová
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Faculty of Medicine, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Patrícia Klobušiaková
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Faculty of Medicine, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,Surgeon General Office of the Slovak Armed Forces, Ul. generála Miloša Vesela 21, 03401 Ružomberok, Slovak Republic
| | - Alžběta Šejnoha Minsterová
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Faculty of Medicine, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Sylvie Kropáčová
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Zuzana Balážová
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Faculty of Medicine, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Jaroslav Točík
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Faculty of Medicine, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Pavlína Vaculíková
- grid.10267.320000 0001 2194 0956Department of Gymnastics and Combatives, Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Alena Skotáková
- grid.10267.320000 0001 2194 0956Department of Gymnastics and Combatives, Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Roman Grmela
- grid.10267.320000 0001 2194 0956Department of Health Promotion, Faculty of Sports Studies, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic
| | - Irena Rektorová
- grid.10267.320000 0001 2194 0956Applied Neuroscience Research Group, Central European Institute of Technology, Masaryk University, Kamenice 5, 62500 Brno, Czech Republic ,grid.412752.70000 0004 0608 7557First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne’s University Hospital, Pekařská 664/53, 65691 Brno, Czech Republic
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Formaggio E, Rubega M, Rupil J, Antonini A, Masiero S, Toffolo GM, Del Felice A. Reduced Effective Connectivity in the Motor Cortex in Parkinson's Disease. Brain Sci 2021; 11:brainsci11091200. [PMID: 34573222 PMCID: PMC8466840 DOI: 10.3390/brainsci11091200] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/06/2021] [Accepted: 09/09/2021] [Indexed: 11/16/2022] Open
Abstract
Fast rhythms excess is a hallmark of Parkinson’s Disease (PD). To implement innovative, non-pharmacological, neurostimulation interventions to restore cortical-cortical interactions, we need to understand the neurophysiological mechanisms underlying these phenomena. Here, we investigated effective connectivity on source-level resting-state electroencephalography (EEG) signals in 15 PD participants and 10 healthy controls. First, we fitted multivariate auto-regressive models to the EEG source waveforms. Second, we estimated causal connections using Granger Causality, which provide information on connections’ strength and directionality. Lastly, we sought significant differences connectivity patterns between the two populations characterizing the network graph features—i.e., global efficiency and node strength. Causal brain networks in PD show overall poorer and weaker connections compared to controls quantified as a reduction of global efficiency. Motor areas appear almost isolated, with a strongly impoverished information flow particularly from parietal and occipital cortices. This striking isolation of motor areas may reflect an impaired sensory-motor integration in PD. The identification of defective nodes/edges in PD network may be a biomarker of disease and a potential target for future interventional trials.
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Affiliation(s)
- Emanuela Formaggio
- Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Gustiniani 3, 35128 Padova, Italy; (E.F.); (S.M.); (A.D.F.)
| | - Maria Rubega
- Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Gustiniani 3, 35128 Padova, Italy; (E.F.); (S.M.); (A.D.F.)
- Correspondence:
| | - Jessica Rupil
- Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131 Padova, Italy; (J.R.); (G.M.T.)
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, Study Centre on Neurodegeneration (CESNE), Department of Neuroscience, University of Padova, Via Giustiniani 5, 35121 Padova, Italy;
- Padova Neuroscience Center, University of Padova, Via Orus, 35128 Padova, Italy
| | - Stefano Masiero
- Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Gustiniani 3, 35128 Padova, Italy; (E.F.); (S.M.); (A.D.F.)
- Padova Neuroscience Center, University of Padova, Via Orus, 35128 Padova, Italy
| | - Gianna Maria Toffolo
- Department of Information Engineering, University of Padova, Via Gradenigo 6/A, 35131 Padova, Italy; (J.R.); (G.M.T.)
| | - Alessandra Del Felice
- Department of Neuroscience, Section of Rehabilitation, University of Padova, Via Gustiniani 3, 35128 Padova, Italy; (E.F.); (S.M.); (A.D.F.)
- Padova Neuroscience Center, University of Padova, Via Orus, 35128 Padova, Italy
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Zarifkar P, Kim J, La C, Zhang K, YorkWilliams S, Levine TF, Tian L, Borghammer P, Poston KL. Cognitive impairment in Parkinson's disease is associated with Default Mode Network subsystem connectivity and cerebrospinal fluid Aβ. Parkinsonism Relat Disord 2021; 83:71-78. [PMID: 33484978 DOI: 10.1016/j.parkreldis.2021.01.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 12/22/2020] [Accepted: 01/04/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION To identify clinically implementable biomarkers of cognitive impairment in Parkinson's Disease (PD) derived from resting state-functional MRI (rs-fMRI) and CSF protein analysis. METHODS In this single-center longitudinal cohort study, we analyzed rs-fMRI and CSF biomarkers from 50 PD patients (23 cognitively normal, 18 mild cognitive impairment, 9 dementia) and 19 controls, who completed comprehensive neuropsychological testing. A subgroup of participants returned for follow-up cognitive assessments three years later. From rs-fMRI, we studied the connectivity within two distinct Default Mode Network subsystems: left-to-right hippocampus (LHC-RHC) and medial prefrontal cortex-to-posterior cingulate cortex (mPFC-PCC). We used regression analyses to determine whether imaging (LHC-RHC, mPFC-PCC), clinical (CSF Aβ-42:40, disease duration), and demographic (age, sex, education) variables were associated with global and domain-specific cognitive impairments. RESULTS LHC-RHC (F3,67 = 3.41,p=0.023) and CSF Aβ-42:40 (χ2(3) = 8.77,p = 0.033) were reduced across more cognitively impaired PD groups. Notably, LHC-RHC connectivity was significantly associated with all global and domain-specific cognitive impairments (attention/executive, episodic memory, visuospatial, and language) at the baseline visit. In an exploratory longitudinal analysis, mPFC-PCC was associated with future global and episodic memory impairment. CONCLUSION We used biomarker techniques that are readily available in clinical and research facilities to shed light on the pathophysiologic basis of cognitive impairment in PD. Our findings suggest that there is a functionally distinct role of the hippocampal subsystem within the DMN resting state network, and that intrinsic connectivity between the hippocampi is critically related to a broad range of cognitive functions in PD.
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Affiliation(s)
- Pardis Zarifkar
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA; Department of Nuclear Medicine and PET, Aarhus University Hospital, Denmark.
| | - Jeehyun Kim
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
| | - Christian La
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
| | - Kai Zhang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
| | - Sophie YorkWilliams
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA; Department of Psychology and Neuroscience, University of Colorado, Boulder, CO, 80309, USA.
| | - Taylor F Levine
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA; Department of Psychological & Brain Sciences, Washington University, 1 Brookings Drive, St. Louis, MO, 63130, USA.
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, 150 Governor's Lane, Stanford, CA, 94305, USA.
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Denmark.
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA; Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
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14
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Liguori S, Moretti A, Palomba A, Paoletta M, Gimigliano F, De Micco R, Siciliano M, Tessitore A, Iolascon G. Non-motor impairments affect walking kinematics in Parkinson disease patients: A cross-sectional study. NeuroRehabilitation 2021; 49:481-489. [PMID: 34420985 PMCID: PMC8673525 DOI: 10.3233/nre-210146] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/27/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND In patients with Parkinson disease (PD), severe postural and gait impairments are rarely observed in early stage of disease and non-motor symptoms (NMS) are often overlooked. OBJECTIVE This observational study aimed to characterize the impact of non-motor impairments on walking kinematics in early stages PD patients, and to assess the differences of gait parameters and NMS between PD patients with and without mild cognitive impairment (MCI). METHODS Twenty-six patients with Modified Hoehn and Yahr Scale score≤2 were evaluated for NMS using Kings Parkinson's Pain Scale, Parkinson Fatigue Severity scale, Parkinson Anxiety Scale, Beck Depression Inventory and Epworth Sleepiness Scale, kinematic parameters through an inertial sensor and cognitive performance by a comprehensive neuropsychological battery. RESULTS Fatigue had a moderate negative correlation with step cadence, and a moderate to strong positive correlation with gait duration, Timed Up and Go (TUG) and TUG Dual Task (p < 0.01). Pain showed positive moderate correlation with gait duration (p < 0.01). Twelve patients resulted affected by MCI and reported significantly worse scores in gait duration, pain and fatigue (p < 0.05). According to cognitive z scores, PD-MCI group showed a moderate negative correlation between visuospatial abilities and fatigue (p < 0.05). CONCLUSIONS NMS significantly affect walking kinematics whereas a limited role of cognitive status on motor performance occur in the early PD stages.
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Affiliation(s)
- Sara Liguori
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Antimo Moretti
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Angela Palomba
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Marco Paoletta
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Francesca Gimigliano
- Department of Mental and Physical Health and Preventive Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Rosa De Micco
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
- Neuropsychology Laboratory, Department of Psychology, University of Campania “Luigi Vanvitelli”, Caserta, Italy
| | - Alessandro Tessitore
- Department of Advanced Medical and Surgical Sciences, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Giovanni Iolascon
- Department of Medical and Surgical Specialties and Dentistry, University of Campania “Luigi Vanvitelli”, Naples, Italy
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15
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Sejnoha Minsterova A, Klobusiakova P, Pies A, Galaz Z, Mekyska J, Novakova L, Nemcova Elfmarkova N, Rektorova I. Patterns of diffusion kurtosis changes in Parkinson's disease subtypes. Parkinsonism Relat Disord 2020; 81:96-102. [DOI: 10.1016/j.parkreldis.2020.10.032] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 10/15/2020] [Accepted: 10/17/2020] [Indexed: 01/10/2023]
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Somatic symptoms disorders in Parkinson's disease are related to default mode and salience network dysfunction. NEUROIMAGE-CLINICAL 2019; 23:101932. [PMID: 31491814 PMCID: PMC6658828 DOI: 10.1016/j.nicl.2019.101932] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 06/11/2019] [Accepted: 07/13/2019] [Indexed: 01/27/2023]
Abstract
Background Somatic Symptoms Disorder (SSD) has been shown to have a clinically very high prevalence in Parkinson's Disease (PD) with frequencies ranging from 7.0% to 66.7%, higher than in the general population (10%- 25%). SSD has been associated with dysfunction in Default Mode and Salience network. Aim With the present study we aim to verify by means of resting state functional MRI whether possible specific abnormalities in the activation and functional connectivity of the default mode network (DMN) and salience network in cognitively intact PD patients may be more prominent in PD patients with somatic symptoms (SSD-PD) as compared with patients without SSD (PD). Methods Eighteen SSD-PD patients (61% male), 18 PD patients (83% male) and 22 healthy age-matched subjects (59% male) were enrolled in the study and underwent resting state functional MRI. Results fractional amplitude of low-frequency fluctuation (fALFF) showed reduced activity in bilateral lateral parietal cortex and in left anterior insula in both SSD-PD and PD compared to control group. Functional connectivity (FC) values in the DMN areas and between DMN and salience network areas were found to be lower in SSD-PD than in control group and PD. No significant correlation was found between fMRI results and demographic and clinical variables, excluding the effect of possible confounders on fMRI results. The present study, showing reduced activity in bilateral parietal areas and in the left anterior insula as compared to healthy controls, suggests a dysfunction of the DMN and salience network in PD, either with or without SSD. The FC reduction within DMN areas and between DMN and salience network areas in SSD-PD patients suggests a role of dysfunctional connectivity in the resting state network of patients with SSD. Reduced activity in parietal areas and in anterior insula in Parkinson's Disease. Functional connectivity is lower in Parkinson's disease with somatic symptoms. Somatic Symptoms in PD are related to default mode and salience network alterations.
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