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Ryu H, Ju U, Wallraven C. Decoding visual fatigue in a visual search task selectively manipulated via myopia-correcting lenses. Front Neurosci 2024; 18:1307688. [PMID: 38660218 PMCID: PMC11039808 DOI: 10.3389/fnins.2024.1307688] [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: 10/10/2023] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Visual fatigue resulting from sustained, high-workload visual activities can significantly impact task performance and general wellbeing. So far, however, little is known about the underlying brain networks of visual fatigue. This study aimed to identify such potential networks using a unique paradigm involving myopia-correcting lenses known to directly modulate subjectively-perceived fatigue levels. Methods A sample of N = 31 myopia participants [right eye-SE: -3.77D (SD: 2.46); left eye-SE: -3.75D (SD: 2.45)] performed a demanding visual search task with varying difficulty levels, both with and without the lenses, while undergoing fMRI scanning. There were a total of 20 trials, after each of which participants rated the perceived difficulty and their subjective visual fatigue level. We used representational similarity analysis to decode brain regions associated with fatigue and difficulty, analyzing their individual and joint decoding pattern. Results and discussion Behavioral results showed correlations between fatigue and difficulty ratings and above all a significant reduction in fatigue levels when wearing the lenses. Imaging results implicated the cuneus, lingual gyrus, middle occipital gyrus (MOG), and declive for joint fatigue and difficulty decoding. Parts of the lingual gyrus were able to selectively decode perceived difficulty. Importantly, a broader network of visual and higher-level association areas showed exclusive decodability of fatigue (culmen, middle temporal gyrus (MTG), parahippocampal gyrus, precentral gyrus, and precuneus). Our findings enhance our understanding of processing within the context of visual search, attention, and mental workload and for the first time demonstrate that it is possible to decode subjectively-perceived visual fatigue during a challenging task from imaging data. Furthermore, the study underscores the potential of myopia-correcting lenses in investigating and modulating fatigue.
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Affiliation(s)
- Hyeongsuk Ryu
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Uijong Ju
- Department of Information Display, Kyunghee University, Seoul, Republic of Korea
| | - Christian Wallraven
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
- Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea
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Voogd EJHF, Doorn N, Levers MR, Hofmeijer J, Frega M. Degree of differentiation impacts neurobiological signature and resistance to hypoxia of SH-SY5Y cells. J Neural Eng 2024; 20:066038. [PMID: 38128130 DOI: 10.1088/1741-2552/ad17f3] [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: 06/01/2023] [Accepted: 12/21/2023] [Indexed: 12/23/2023]
Abstract
Objective.SH-SY5Y cells are valuable neuronalin vitromodels for studying patho-mechanisms and treatment targets in brain disorders due to their easy maintenance, rapid expansion, and low costs. However, the use of various degrees of differentiation hampers appreciation of results and may limit the translation of findings to neurons or the brain. Here, we studied the neurobiological signatures of SH-SY5Y cells in terms of morphology, expression of neuronal markers, and functionality at various degrees of differentiation, as well as their resistance to hypoxia. We compared these to neurons derived from human induced pluripotent stem cells (hiPSCs), a well-characterized neuronalin vitromodel.Approach.We cultured SH-SY5Y cells and neurons derived from hiPSCs on glass coverslips or micro-electrode arrays. We studied expression of mature neuronal markers, electrophysiological activity, and sensitivity to hypoxia at various degrees of differentiation (one day up to three weeks) in SH-SY5Y cells. We used hiPSC derived neurons as a reference.Main results.Undifferentiated and shortly differentiated SH-SY5Y cells lacked neuronal characteristics. Expression of neuronal markers and formation of synaptic puncta increased during differentiation. Longer differentiation was associated with lower resistance to hypoxia. At three weeks of differentiation, MAP2 expression and vulnerability to hypoxia were similar to hiPSC-derived neurons, while the number of synaptic puncta and detected events were significantly lower. Our results show that at least three weeks of differentiation are necessary to obtain neurobiological signatures that are comparable to those of hiPSC-derived neurons, as well as similar sensitivities to metabolic stress. Significance.This indicates that extended differentiation protocols should be used to study neuronal characteristics and to model brain disorders with SH-SY5Y cells. We provided insights that may offer the basis for the utilization of SH-SY5Y cells as a more relevant neuronal model in the study of brain disorders.
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Affiliation(s)
- E J H F Voogd
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - N Doorn
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - M R Levers
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
| | - J Hofmeijer
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - M Frega
- Department of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, The Netherlands
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Raizen D, Bhavsar R, Keenan BT, Liu PZ, Kegelman TP, Chao HH, Vapiwala N, Rao H. Increased posterior cingulate cortex blood flow in cancer-related fatigue. Front Neurol 2023; 14:1135462. [PMID: 37576014 PMCID: PMC10413554 DOI: 10.3389/fneur.2023.1135462] [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: 12/31/2022] [Accepted: 06/30/2023] [Indexed: 08/15/2023] Open
Abstract
Fatigue is a common symptom associated with cancer treatments. Brain mechanisms underlying cancer-related fatigue (CRF) and its progression following therapy are poorly understood. Previous studies have suggested a role of the default mode network (DMN) in fatigue. In this study we used arterial spin labeling (ASL) perfusion functional magnetic resonance imaging (fMRI) and compared resting cerebral blood flow (CBF) differences in the posterior cingulate cortex (PCC), a core hub of the DMN, between 16 patients treated with radiation therapy (RAT) for prostate (9 males) or breast (7 females) cancer and 18 healthy controls (HC). Resting CBF in patients was also measured immediately after the performance of a fatiguing 20-min psychomotor vigilance task (PVT). Twelve of 16 cancer patients were further followed between 3 and 7 months after completion of the RAT (post-RAT). Patients reported elevated fatigue on RAT in comparison to post-RAT, but no change in sleepiness, suggesting that the underlying neural mechanisms of CRF progression are distinct from those regulating sleep drive progression. Compared to HC, patients showed significantly increased resting CBF in the PCC and the elevated PCC CBF persisted during the follow up visit. Post-PVT, but not pre-PVT, resting CBF changes in the PCC correlated with fatigue changes after therapy in patients with CRF, suggesting that PCC CBF following a fatiguing cognitive task may be a biomarker for CRF recovery.
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Affiliation(s)
- David Raizen
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Chronobiology and Sleep Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Rupal Bhavsar
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Chronobiology and Sleep Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Brendan T. Keenan
- Division of Sleep Medicine, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Chronobiology and Sleep Institute, University of Pennsylvania, Philadelphia, PA, United States
| | - Patrick Z. Liu
- Chronobiology and Sleep Institute, University of Pennsylvania, Philadelphia, PA, United States
| | | | - Hann-Hsiang Chao
- Radiation Oncology Service, Richmond VA Medical Center, Richmond, VA, United States
- Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA, United States
| | - Neha Vapiwala
- Department of Radiation Oncology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Hengyi Rao
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
- Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior, Center for Magnetic Resonance Imaging Research, Shanghai International Studies University, Shanghai, China
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Trojsi F, Di Nardo F, D'Alvano G, Passaniti C, Sharbafshaaer M, Canale F, Russo A, Silvestro M, Lavorgna L, Cirillo M, Esposito F, Tedeschi G, Siciliano M. Cognitive, behavioral, and brain functional connectivity correlates of fatigue in amyotrophic lateral sclerosis. Brain Behav 2023; 13:e2931. [PMID: 37349911 PMCID: PMC10338806 DOI: 10.1002/brb3.2931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 02/03/2023] [Accepted: 02/14/2023] [Indexed: 06/24/2023] Open
Abstract
INTRODUCTION Fatigue is defined as a symptom of exhaustion unexplained by drug effects or psychiatric disorders and comprises two main components (i.e., central or "mental" and peripheral or "physical" components), both influencing global disability in amyotrophic lateral sclerosis (ALS). We aim at investigating the clinical correlations between "physical" and "mental" components of fatigue, measured by the Multidimensional Fatigue Inventory scale, and motor and cognitive/behavioral disability in a large sample of patients with ALS. We also investigated the correlations between these measures of fatigue and resting-state functional connectivity of brain functional magnetic resonance imaging (RS-fMRI) large-scale networks in a subset of patients. METHODS One hundred and thirty ALS patients were assessed for motor disability, cognitive and behavioral dysfunctions, fatigue, anxiety, apathy, and daytime sleepiness. Moreover, the collected clinical parameters were correlated with RS-fMRI functional connectivity changes in the large-scale brain networks of 30 ALS patients who underwent MRI. RESULTS Multivariate correlation analysis revealed that "physical" fatigue was related to anxiety and respiratory dysfunction, while "mental" fatigue was related to memory impairment and apathy. Moreover, the mental fatigue score was directly related to functional connectivity in the right and left insula (within the salience network), and inversely related to functional connectivity in the left middle temporal gyrus (within the default mode network). CONCLUSIONS Although the "physical" component of fatigue may be influenced by the disease itself, in ALS the "mental" component of fatigue correlates with cognitive and behavioral impairment, as well as with alterations of functional connectivity in extra-motor networks.
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Affiliation(s)
- Francesca Trojsi
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
- First Division of NeurologyUniversity Hospital Università degli studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Giulia D'Alvano
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Carla Passaniti
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Minoo Sharbafshaaer
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Fabrizio Canale
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Antonio Russo
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
- First Division of NeurologyUniversity Hospital Università degli studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Marcello Silvestro
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Luigi Lavorgna
- First Division of NeurologyUniversity Hospital Università degli studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Mario Cirillo
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
- First Division of NeurologyUniversity Hospital Università degli studi della Campania “Luigi Vanvitelli”NaplesItaly
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, MRI Research CenterUniversità degli Studi della Campania “Luigi Vanvitelli”NaplesItaly
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Lin FV. A Multi-Dimensional Model of Fatigue in Old Age: Implications for Brain Aging. Am J Geriatr Psychiatry 2023; 31:152-161. [PMID: 36435711 PMCID: PMC10653728 DOI: 10.1016/j.jagp.2022.10.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 10/13/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022]
Abstract
As the most reported symptom in old age, fatigue is understudied in terms of both mechanisms and measures. Population heterogeneity and methodological inconsistency makes understanding the relationship between fatigue and brain aging challenging. The present article comprehensively reviews existing conceptual and operational frameworks of fatigue, as well as mechanistic heterogeneities of fatigue that exist in the aging literature. Then, I propose a Multi-Dimensional Model of fatigue to provide theoretical cohesion to the study of fatigue in old age, along with a "fatigue circuit" addressing brain profiles across dimensions of fatigue. The potential relationships between fatigue dimensions, the fatigue circuit, and brain aging are discussed to inform the direction of future research.
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Affiliation(s)
- Feng V Lin
- Department of Psychiatry and Behavioral Sciences(FVL), Stanford University, Palo Alto, CA, 94304; Wu Tsai Neuroscience Institute, Stanford University(FVL), Palo Alto, CA, 94304.
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Liu W, Liu J, Bhavsar R, Mao T, Mamikonyan E, Raizen D, Detre JA, Weintraub D, Rao H. Perfusion Imaging of Fatigue and Time-on-Task Effects in Patients With Parkinson's Disease. Front Aging Neurosci 2022; 14:901203. [PMID: 35754969 PMCID: PMC9226473 DOI: 10.3389/fnagi.2022.901203] [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: 03/21/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Fatigue is a highly prevalent and debilitating non-motor symptom in Parkinson's disease (PD), yet its' neural mechanisms remain poorly understood. Here we combined arterial spin labeling (ASL) perfusion functional magnetic resonance imaging (fMRI) with a sustained mental workload paradigm to examine the neural correlates of fatigue and time-on-task effects in PD patients. Twenty-one PD patients were scanned at rest and during continuous performance of a 20-min psychomotor vigilance test (PVT). Time-on-task effects were measured by the reaction time changes during the PVT and by self-reported fatigue ratings before and after the PVT. PD subjects demonstrated significant time-on-task effects, including progressively slower reaction time on the PVT and increased post-PVT fatigue ratings compared to pre-PVT. Higher levels of general fatigue were associated with larger increases in mental fatigue ratings after the PVT. ASL imaging data showed increased CBF in the right middle frontal gyrus (MFG), bilateral occipital cortex, and right cerebellum during the PVT compared to rest, and decreased CBF in the right MFG at post-task rest compared to pre-task rest. The magnitude of regional CBF changes in the right MFG and right inferior parietal lobe correlated with subjective fatigue rating increases after the PVT task. These results demonstrate the utility of continuous PVT paradigm for future studies of fatigue and cognitive fatigability in patients, and support the key role of the fronto-parietal attention network in mediating fatigue in PD.
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Affiliation(s)
- Wanting Liu
- School of Psychology, South China Normal University, Guangzhou, China,Center for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China,Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jianghong Liu
- Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, United States
| | - Rupal Bhavsar
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Tianxin Mao
- Center for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China,Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Eugenia Mamikonyan
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - David Raizen
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - John A. Detre
- Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Hengyi Rao
- Center for Magnetic Resonance Imaging Research and Key Laboratory of Applied Brain and Cognitive Sciences, School of Business and Management, Shanghai International Studies University, Shanghai, China,Center for Functional Neuroimaging, Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States,*Correspondence: Hengyi Rao,
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Hafiz R, Gandhi TK, Mishra S, Prasad A, Mahajan V, Di X, Natelson BH, Biswal BB. Higher limbic and basal ganglia volumes in surviving COVID-negative patients and the relations to fatigue. NEUROIMAGE. REPORTS 2022; 2:100095. [PMID: 35496469 PMCID: PMC9040524 DOI: 10.1016/j.ynirp.2022.100095] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 11/06/2022]
Abstract
Background Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated. Method COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. Results The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule. Conclusion Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
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Affiliation(s)
- Rakibul Hafiz
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
| | - Tapan Kumar Gandhi
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Sapna Mishra
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Alok Prasad
- Internal Medicine, Irene Hospital & Senior Consultant Medicine, Metro Heart and Super-specialty Hospital, New Delhi, India
| | - Vidur Mahajan
- Centre for Advanced Research in Imaging, Neuroscience & Genomics, Mahajan Imaging, New Delhi, India
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
| | - Benjamin H Natelson
- Pain & Fatigue Study Center, Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, 5 East 98th Street, 7th Floor, New York, NY, 10029, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ, 07102, USA
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Yuan YS, Ji M, Gan CT, Sun HM, Wang LN, Zhang KZ. Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue. J Pers Med 2022; 12:jpm12060884. [PMID: 35743669 PMCID: PMC9225138 DOI: 10.3390/jpm12060884] [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: 03/19/2022] [Revised: 05/20/2022] [Accepted: 05/24/2022] [Indexed: 02/01/2023] Open
Abstract
The characteristics of interhemispheric resting-state functional connectivity (FC) in Parkinson’s disease (PD) with fatigue remain unclear; therefore, we aimed to explore the changes in interhemispheric FC in PD patients with fatigue. Sixteen PD patients with fatigue (PDF), 16 PD patients without fatigue (PDNF) and 15 matched healthy controls (HCs) were enrolled in the retrospective cross-sectional study. We used voxel-mirrored homotopic connectivity (VMHC) to analyze the resting-state functional magnetic resonance imaging (fMRI) data of these subjects. Compared to PDNF, PDF patients had decreased VMHC values in the supramarginal gyri (SMG). Furthermore, the mean VMHC values of the SMG were negatively correlated with the mean fatigue severity scale (FSS/9) scores (r = −0.754, p = 0.001). Compared to HCs, PDF patients had decreased VMHC in the SMG and in the opercular parts of the inferior frontal gyri (IFG operc). The VMHC values in the IFG operc and middle frontal gyri (MFG) were notably decreased in PDNF patients compared with HCs. Our findings suggest that the reduced VMHC values within the bilateral SMG may be the unique imaging features of fatigue in PD, and may illuminate the neural mechanisms of fatigue in PD.
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Hafiz R, Gandhi TK, Mishra S, Prasad A, Mahajan V, Di X, Natelson BH, Biswal BB. Higher Limbic and Basal Ganglia volumes in surviving COVID-negative patients and the relations to fatigue. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022. [PMID: 34845462 DOI: 10.1101/2022.11.08.22281807v1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
BACKGROUND Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated. METHOD COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. RESULTS The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule . CONCLUSION Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
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Affiliation(s)
- Rakibul Hafiz
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA
| | - Tapan Kumar Gandhi
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Sapna Mishra
- Department of Electrical Engineering, Indian Institute of Technology (IIT), Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016, India
| | - Alok Prasad
- Internal Medicine, Irene Hospital & Senior Consultant Medicine, Metro Heart and Super-specialty Hospital, New Delhi, India
| | - Vidur Mahajan
- Centre for Advanced Research in Imaging, Neuroscience & Genomics, Mahajan Imaging, New Delhi, India
| | - Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA
| | - Benjamin H Natelson
- Director, Pain & Fatigue Study Center, Icahn School of Medicine at Mount Sinai, The Mount Sinai Hospital, 5 East 98th Street, 7th Floor, New York, NY 10029
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology (NJIT), 323 Dr Martin Luther King Jr Blvd, Newark, NJ 07102, USA
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Rönnbäck L, Johansson B. Long-Lasting Pathological Mental Fatigue After Brain Injury–A Dysfunction in Glutamate Neurotransmission? Front Behav Neurosci 2022; 15:791984. [PMID: 35173592 PMCID: PMC8841553 DOI: 10.3389/fnbeh.2021.791984] [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: 10/09/2021] [Accepted: 12/21/2021] [Indexed: 12/26/2022] Open
Abstract
Long-lasting mental or cognitive fatigue may be a disabling symptom after physically recovered skull trauma, stroke, infection, or inflammation in the central nervous system (CNS). It is difficult to go back to work and participate in familiar social activities, as typically the person is only able to remain mentally active for short periods, and if mentally exhausted, the recovery time will be disproportionally long. Mental fatigue after traumatic brain injury correlates with brain information processing speed. Information processing is energy consuming and requires widespread and specific neural signaling. Glutamate signaling is essential for information processing, including learning and memory. Low levels and the fine-tuning of extracellular glutamate are necessary to maintain a high precision in information processing. The astroglial cells are responsible for the fine-tuning of the glutamate transmission, but this capacity is attenuated by substances or conditions associated with neuro-inflammation in brain pathology. In this paper, we extend our previously presented hypothesis on the cellular mechanisms underlying mental fatigue suggesting a dysfunction in the astroglial support of the glutamate transmission. Changes in other neurotransmitters such as dopamine, serotonin, norepinephrine, GABA, and acetylcholine after brain injury are also taken into consideration.
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Béreau M, Castrioto A, Lhommée E, Maillet A, Gérazime A, Bichon A, Pélissier P, Schmitt E, Klinger H, Longato N, Fraix V, Benatru I, Durif F, Azulay JP, Moro E, Broussolle E, Tranchant C, Anheim M, Thobois S, Krack P. Fatigue in de novo Parkinson's Disease: Expanding the Neuropsychiatric Triad? JOURNAL OF PARKINSON'S DISEASE 2022; 12:1329-1337. [PMID: 35253781 DOI: 10.3233/jpd-213116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND Fatigue is a frequent and troublesome symptom present from the early stages of Parkinson's disease (PD). OBJECTIVE To examine the relationship between fatigue and the neuropsychiatric triad, which includes apathy, depression, and anxiety, in de novo PD. METHODS We performed a cross-sectional study including 197 patients with de novo PD and assessed fatigue using the Parkinson's Disease Fatigue Scale (PDFS-16). We evaluated motor status using the Unified Parkinson's Disease Rating Scale (UPDRS) part III score and evaluated neuropsychiatric status using the Ardouin Scale of Behavior in Parkinson's Disease (ASBPD). We carried out univariate and multivariate analyses to model association between motor signs, non-motor signs, and fatigue risk. RESULTS Frequency of fatigue (28.9%) was of the same order of magnitude as that of apathy. PD patients with fatigue reported a lower quality of life than patients without fatigue (p < 0.0001). The ASBPD showed that patients with fatigue had higher scores for depressed mood (p < 0.0001), anxiety (p < 0.0001), and apathy (p < 0.0001). In the univariate analysis, fatigue score was positively correlated with apathy, depression, anxiety, and the neuropsychiatric triad as a whole, and to a lesser extent with female sex, hyperemotivity, and the UPDRS part III score. In the multivariate analysis, after adjusting for sex and motor status, the fatigue score remained significantly correlated with apathy (OR = 11.17 [4.33-28.78], p < 0.0001) and depression (OR = 4.28 [1.39-13.12], p = 0.01), but not with anxiety (OR = 0.94 [0.34-2.58], p = 0.9). CONCLUSION We propose that the neuropsychiatric triad could be expanded to include fatigue.
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Affiliation(s)
- Matthieu Béreau
- Department of Neurology, University Hospital of Besançon, Besançon, France
- Laboratoire de Recherches Intégratives en Neurosciences et Psychologie Cognitive - UR LINC, Université Bourgogne Franche-Comté, Besançon, France
- NS-PARK/FCRIN Network, France
| | - Anna Castrioto
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Eugénie Lhommée
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Audrey Maillet
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Aurélie Gérazime
- Unité de Méthodologie, CIC INSERM 1431, CHRU de Besançon, Besançon, France
| | - Amélie Bichon
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Pierre Pélissier
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuelle Schmitt
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Hélène Klinger
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Nadine Longato
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Valérie Fraix
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Isabelle Benatru
- Department of Neurology, University Hospital of Poitiers, Poitiers, France
- INSERM, CHU de Poitiers, University of Poitiers, Centre d'Investigation Clinique CIC1402, Poitiers, France
| | - Franck Durif
- Neurology Department, Université Clermont Auvergne, EA7280 NPsy-Sydo, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Jean-Philippe Azulay
- Movement Disorders Unit, Neurology Department, University Hospital of Marseille, Marseille, France
| | - Elena Moro
- University Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Movement Disorders Unit, Grenoble Institut Neurosciences, Grenoble, France
| | - Emmanuel Broussolle
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Christine Tranchant
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
| | - Mathieu Anheim
- Service de Neurologie, Hôpitaux Universitaires de Strasbourg, Strasbourg, France
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), INSERM-U964/CNRS-UMR7104/Université de Strasbourg, Illkirch, France
- Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Strasbourg, France
| | - Stéphane Thobois
- NS-PARK/FCRIN Network, France
- Movement Disorders Unit, Neurology Department, Hospices Civils de Lyon, University Lyon, Lyon, France
- Faculté de Médecine Lyon Sud, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Bron, France
| | - Paul Krack
- Movement Disorders Center, Department of Neurology, University Hospital of Bern, Bern, Switzerland
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12
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Hafiz R, Gandhi TK, Mishra S, Prasad A, Mahajan V, Di X, Natelson BH, Biswal BB. Higher Limbic and Basal Ganglia volumes in surviving COVID-negative patients and the relations to fatigue.. [PMID: 34845462 PMCID: PMC8629206 DOI: 10.1101/2021.11.23.21266761] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background: Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among ‘long-COVID’ patients. How morphometry in each group relate to work-related fatigue need to be investigated. Method: COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. Results: The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule. Conclusion: Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.
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13
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George DD, Baer NK, Berliner JM, Jones J, Kluger BM. What Fatigue Means to Persons Living with Parkinson's Disease? A Qualitative Study. Mov Disord Clin Pract 2021; 8:919-924. [PMID: 34405099 PMCID: PMC8354068 DOI: 10.1002/mdc3.13270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/01/2021] [Accepted: 06/05/2021] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Fatigue is one of the most prevalent non-motor symptoms of Parkinson's disease (PD). Research is hampered by imprecise terminology and the lack of case definition criteria. OBJECTIVES To elicit the experiences of persons living with PD-related fatigue and provide ecological validation for case definition criteria. METHODS Qualitative interviews were conducted with 22 individuals and 4 focus groups, and analyzed using an inductive qualitative method. RESULTS Six core themes emerged: (i) difficulty initiating and completing important tasks; (ii) desire for others to understand their fatigue experience; (iii) heterogeneity of experiences and descriptions of fatigue; (iv) complex relationships with other non-motor symptoms; (v) variable self-management strategies; and (vi) general alignment with proposed case definition criteria. CONCLUSIONS PD-related fatigue impacts function, is subjectively distinguishable from other non-motor symptoms, has heterogeneous descriptions, and may be mitigated by various self-management strategies. Proposed case definition criteria appear ecologically valid and warrant further optimization and testing.
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Affiliation(s)
- Derek D. George
- Department of Neurology, School of MedicineUniversity of Colorado‐Anschutz Medical CampusAuroraColoradoUSA
| | - Nicholas K. Baer
- Department of Neurology, School of MedicineUniversity of Colorado‐Anschutz Medical CampusAuroraColoradoUSA
| | - Jean M. Berliner
- Rehabilitation Sciences ProgramSchool of Medicine, University of Colorado‐Anschutz Medical CampusAuroraColoradoUSA
| | - Jacqueline Jones
- College of NursingUniversity of Colorado‐Anschutz Medical CampusAuroraColoradoUSA
| | - Benzi M. Kluger
- Departments of Neurology and MedicineSchool of Medicine, University of Rochester Medical CenterRochesterNew YorkUSA
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14
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Abstract
The last decade has seen the emergence of new theoretical frameworks to explain pathological fatigue, a much neglected, yet highly significant symptom across a wide range of diseases. While the new models of fatigue provide new hypotheses to test, they also raise a number of questions. The primary purpose of this essay is to examine the predictions of three recently proposed models of fatigue, the overlap and differences between them, and the evidence from diseases that may lend support to the models of fatigue. I also present expansions for the sensory attenuation model of fatigue. Further questions examined here are the following: What are the neural substrates of fatigue? How can sensory attenuation, which underpins agency also explain fatigue? Are fatigue and agency related?
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Affiliation(s)
- Annapoorna Kuppuswamy
- Department of Clinical and Movement Neuroscience, Institute of Neurology, University College London, London, UK
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15
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Lu ZH, Chen YK, Fu XL, Liu YL, Qu JF, Xiao WM. Global cortical atrophy may be associated with fatigue in patients with parkinson's disease. J Clin Neurosci 2020; 79:172-177. [PMID: 33070891 DOI: 10.1016/j.jocn.2020.07.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/11/2020] [Accepted: 07/02/2020] [Indexed: 01/01/2023]
Abstract
PURPOSE Fatigue has been recognized as a common non-motor problem in patients with Parkinson's disease (PD). The determination of the clinical correlates of fatigue in PD patients is necessary. The purpose of this study was to explore the risk factors related to the severity of fatigue in PD. PATIENTS AND METHODS In this study, 141 patients with PD were recruited. All patients were evaluated comprehensively, including motor function, fatigue severity scale (FSS), cognition and psychiatric status. Brain magnetic resonance imaging (MRI) examinations were performed to assess the severity of white matter hyperintensities, and the presence of silent lacunes, medial temporal lobe atrophy (MTLA), and global cortical atrophy (GCA). The crude associations of variables with FSS were examined using Pearson (nor-mally distributed) or Spearman correlation (categorical or non-normal distributed) analyses. Multiple linear regression analysis was performed to find the correlates of fatigue severity in PD patients. RESULTS In the whole sample, with FSS as the dependent variable in a linear regression model, Hamilton Depression Rating Scale (HAM-D), GCA, female sex were significant correlates of FSS, accounting for 24% of the variance of it. When subjects with depression (HAM-D ≥ 35) were excluded, HAM-D, GCA, female sex remained significant correlates of FSS, accounting for 22% of the variance of FSS. There is no correlation between white matter hyperintensities and FSS. CONCLUSION GCA may be an important correlate of the fatigue severity commonly observed in PD patients.
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Affiliation(s)
- Zhi-Hao Lu
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China; Graduate School, Guangdong Medical University, Zhanjiang, Guangdong Province, China
| | - Yang-Kun Chen
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China.
| | - Xiao-Li Fu
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China
| | - Yong-Lin Liu
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China
| | - Jian-Feng Qu
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China
| | - Wei-Min Xiao
- Department of Neurology, the Affiliated Dongguan Hospital, South Medical University (Dongguan People's Hospital), Dongguan, Guangdong Province, China
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16
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Supplementary motor area functional connectivity in “drug-naïve” Parkinson’s disease patients with fatigue. J Neural Transm (Vienna) 2020; 127:1133-1142. [DOI: 10.1007/s00702-020-02219-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 06/16/2020] [Indexed: 02/07/2023]
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17
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Kang SY, Bang M, Hong JY, Oh J, Kim JS, Han YM, Chang SK, Lee SA, Yoon U, Shin NY. Neural and dopaminergic correlates of fatigue in Parkinson's disease. J Neural Transm (Vienna) 2020; 127:301-309. [PMID: 31894419 DOI: 10.1007/s00702-019-02130-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 12/19/2019] [Indexed: 11/25/2022]
Abstract
Fatigue is one of the most common non-motor symptoms in Parkinson's disease (PD). Despite its clinical importance, there are few studies on the cause or mechanism of fatigue. Our aim was to find brain areas related to fatigue and to explore the association between striatal dopaminergic dysfunction and fatigue. We consecutively screened forty-seven patients with de novo PD from 2012 to 2017 and enrolled 32 patients. The gray matter volumes, white matter tracts, and striatal dopaminergic activity between PD without fatigue and with fatigue were compared. The correlation between fatigue and striatal dopaminergic activity was also analyzed. Our data did not show any significant difference in gray matter volume between PD without fatigue and with fatigue (familywise error [FWE] corrected p > 0.05) but revealed significantly higher mean fractional anisotropy (FA) values for all analyzed white matter tracts in PD with fatigue (false discovery rate [FDR] corrected p < 0.05), except left cingulum-hippocampus (CH), right superior longitudinal fasciculus, and right longitudinal fasciculus temporal part (FDR corrected p > 0.06); lower mean diffusivity (MD) values for all analyzed white matter tracts in PD with fatigue (FDR corrected p < 0.05), except in the left CH and uncinate fasciculus (FDR corrected p > 0.05). The mean radial diffusivity (RD) values, except for the left CH (FDR corrected p = 0.0576), were also significantly lower (FDR corrected p < 0.05). There was no difference in dopaminergic deficits between PD without fatigue and PD with fatigue (p > 0.50). The alteration of the white matter tract may reflect the degree of fatigue in PD. This is not true of the gray matter and striatal dopaminergic activity. These results show the possibility that white matter changes can be used as a biomarker for fatigue.
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Affiliation(s)
- Suk Yun Kang
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, 7, Keunjaebong-gil, Hwaseong, Gyeonggi-do, 18450, Republic of Korea.
| | - Mirim Bang
- Department of Radiology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Jing Yong Hong
- Department of Neurology, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Jungsu Oh
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Jae Seung Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - You Mie Han
- Department of Nuclear Medicine, Dongtan Sacred Heart Hospital, College of Medicine, Hallym University, Hwaseong, Republic of Korea
| | - Suk Ki Chang
- Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea
| | - Seun Ah Lee
- Department of Radiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea
| | - Uicheul Yoon
- Department of Biomedical Engineering, College of Health and Medical Science, Catholic University of Daegu, Gyeongsan, Republic of Korea
| | - Na-Young Shin
- Department of Radiology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
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18
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Chu JS, Liu TH, Wang KL, Han CL, Liu YP, Michitomo S, Zhang JG, Fang T, Meng FG. The Metabolic Activity of Caudate and Prefrontal Cortex Negatively Correlates with the Severity of Idiopathic Parkinson's Disease. Aging Dis 2019; 10:847-853. [PMID: 31440389 PMCID: PMC6675526 DOI: 10.14336/ad.2018.0814] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2018] [Accepted: 08/14/2018] [Indexed: 01/04/2023] Open
Abstract
Positron emission tomography (PET) scan with tracer [18F]-fluorodeoxy-glucose (18F-FDG) is widely used to measure the glucose metabolism in neurodegenerative disease such as Idiopathic Parkinson’s disease (IPD). Previous studies using 18F-FDG PET mainly focused on the motor or non-motor symptoms but not the severity of IPD. In this study, we aimed to determine the metabolic patterns of 18F-FDG in different stages of IPD defined by Hoehn and Yahr rating scale (H-Y rating scale) and to identify regions in the brain that play critical roles in disease progression. Fifty IPD patients were included in this study. They were 29 men and 21 women (mean±SD, age 57.7±11.1 years, disease duration 4.0±3.8 years, H-Y 2.2±1.1). Twenty healthy individuals were included as normal controls. Following 18F-FDG PET scan, image analysis was performed using Statistical Parametric Mapping (SPM) and Resting-State fMRI Data Analysis Toolkit (REST). The metabolic feature of IPD and regions-of-interests (ROIs) were determined. Correlation analysis between ROIs and H-Y stage was performed. SPM analysis demonstrated a significant hypometabolic activity in bilateral putamen, caudate and anterior cingulate as well as left parietal lobe, prefrontal cortex in IPD patients. In contrast, hypermetabolism was observed in the cerebellum and vermis. There was a negative correlation (p=0.007, r=-0.412) between H-Y stage and caudate metabolic activity. Moreover, the prefrontal area also showed a negative correlation with H-Y (P=0.033, r=-0.334). Thus, the uptake of FDG in caudate and prefrontal cortex can potentially be used as a surrogate marker to evaluate the severity of IPD.
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Affiliation(s)
- Jun-Sheng Chu
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ting-Hong Liu
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China.,4Department of Neurosurgery, Beijing Children's hospital, Capital Medical University, Beijing, China
| | - Kai-Liang Wang
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Chun-Lei Han
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Yun-Peng Liu
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Shimabukuro Michitomo
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China
| | - Jian-Guo Zhang
- 1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China
| | - Tie Fang
- 4Department of Neurosurgery, Beijing Children's hospital, Capital Medical University, Beijing, China
| | - Fan-Gang Meng
- 2Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.,3Beijing Key Laboratory of Neurostimulation, Beijing, China
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19
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Peralta C, Biafore F, Depetris TS, Bastianello M. Recent Advancement and Clinical Implications of 18FDG-PET in Parkinson's Disease, Atypical Parkinsonisms, and Other Movement Disorders. Curr Neurol Neurosci Rep 2019; 19:56. [PMID: 31256288 DOI: 10.1007/s11910-019-0966-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
PURPOSE OF REVIEW The molecular imaging field has been very instrumental in identifying the multiple network interactions that compose the human brain. The cerebral glucose metabolism is associated with neural function. 18F-fluoro-deoxyglucose-PET (FDG-PET) studies reflect brain metabolism in a pattern-specific manner. This article reviews FDG-PET studies in Parkinson's disease (PD), atypical parkinsonism (AP), Huntington's disease (HD), and dystonia. RECENT FINDINGS The metabolic pattern of PD, disease progression, non-motor symptoms such as fatigue, depression, apathy, impulse control disorders, and cognitive impairment, and the risk of progression to dementia have been identified with FDG-PET studies. In prodromal PD, the REM sleep behavior disorder-related covariance pattern has been described. In AP, FDG-PET studies have demonstrated to be superior to D2/D3 SPECT in differentiating PD from AP. The metabolic patterns of HD and dystonia have also been described. FDG-PET studies are an excellent tool to identify patterns of brain metabolism.
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Affiliation(s)
- Cecilia Peralta
- Department of Neurology, CEMIC University Hospital, Elias Galván 4102, C1431FWO, Buenos Aires, Argentina.
| | - Federico Biafore
- Department of Biostatistics, School of Science and Technology, National University of San Martín, Campus Miguelete, 25 de Mayo y Francia, Buenos Aires, Argentina
| | - Tamara Soto Depetris
- Department of Neurology, CEMIC University Hospital, Elias Galván 4102, C1431FWO, Buenos Aires, Argentina
| | - Maria Bastianello
- Department of Molecular and Metabolic Imaging, CEMIC University Hospital, Elias Galván, 4102, Buenos Aires, Argentina
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20
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Network imaging biomarkers: insights and clinical applications in Parkinson's disease. Lancet Neurol 2019; 17:629-640. [PMID: 29914708 DOI: 10.1016/s1474-4422(18)30169-8] [Citation(s) in RCA: 114] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 04/13/2018] [Accepted: 04/25/2018] [Indexed: 12/14/2022]
Abstract
Parkinson's disease presents several practical challenges: it can be difficult to distinguish from atypical parkinsonian syndromes, clinical ratings can be insensitive as markers of disease progression, and its non-motor manifestations are not readily assessed in animal models. These challenges, along with others, are beginning to be addressed by innovative imaging methods to characterise Parkinson's disease-specific functional networks across the whole brain and measure their expression in each patient. These signatures can help improve differential diagnosis, guide selection of patients for clinical trials, and quantify treatment responses and placebo effects in individual patients. The primary Parkinson's disease-related metabolic pattern has been replicated in multiple patient populations and used as an outcome measure in clinical trials. It can also be used as a predictor of near-term phenoconversion in prodromal syndromes, such as rapid eye movement sleep behaviour disorder. Functional network imaging holds great promise for future clinical use in the management of neurodegenerative disorders.
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21
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Prell T, Witte OW, Grosskreutz J. Biomarkers for Dementia, Fatigue, and Depression in Parkinson's Disease. Front Neurol 2019; 10:195. [PMID: 30906277 PMCID: PMC6418014 DOI: 10.3389/fneur.2019.00195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/15/2019] [Indexed: 12/26/2022] Open
Abstract
Parkinson's disease is a common multisystem neurodegenerative disorder characterized by typical motor and non-motor symptoms. There is an urgent need for biomarkers for assessment of disease severity, complications and prognosis. In addition, biomarkers reporting the underlying pathophysiology assist in understanding the disease and developing neuroprotective therapies. Ultimately, biomarkers could be used to develop a more efficient personalized approach for clinical trials and treatment strategies. With the goal to improve quality of life in Parkinson's disease it is essential to understand and objectively monitor non-motor symptoms. This narrative review provides an overview of recent developments of biomarkers (biofluid samples and imaging) for three common neuropsychological syndromes in Parkinson's disease: dementia, fatigue, and depression.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Julian Grosskreutz
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
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22
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Strafella AP, Bohnen NI, Pavese N, Vaillancourt DE, van Eimeren T, Politis M, Tessitore A, Ghadery C, Lewis S. Imaging Markers of Progression in Parkinson's Disease. Mov Disord Clin Pract 2018; 5:586-596. [PMID: 30637278 DOI: 10.1002/mdc3.12673] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/22/2018] [Accepted: 07/30/2018] [Indexed: 12/12/2022] Open
Abstract
Background Parkinson's disease (PD) is the second-most common neurodegenerative disorder after Alzheimer's disease; however, to date, there is no approved treatment that stops or slows down disease progression. Over the past decades, neuroimaging studies, including molecular imaging and MRI are trying to provide insights into the mechanisms underlying PD. Methods This work utilized a literature review. Results It is now becoming clear that these imaging modalities can provide biomarkers that can objectively detect brain changes related to PD and monitor these changes as the disease progresses, and these biomarkers are required to establish a breakthrough in neuroprotective or disease-modifying therapeutics. Conclusions Here, we provide a review of recent observations deriving from PET, single-positron emission tomography, and MRI studies exploring PD and other parkinsonian disorders.
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Affiliation(s)
- Antonio P Strafella
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Nico I Bohnen
- Department of Radiology & Neurology University of Michigan Ann Arbor Michigan USA.,Veterans Administration Ann Arbor Healthcare System Ann Arbor Michigan USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research University of Michigan Ann Arbor Michigan USA
| | - Nicola Pavese
- Newcastle Magnetic Resonance Centre & Positron Emission Tomography Centre Newcastle University, Campus for Ageing & Vitality Newcastle upon Tyne United Kingdom
| | - David E Vaillancourt
- Applied Physiology and Kinesiology, Biomedical Engineering, and Neurology University of Florida Gainesville Florida USA
| | - Thilo van Eimeren
- Department of Nuclear Medicine and Department of Neurology University of Cologne Cologne Germany.,Institute for Cognitive Neuroscience, Jülich Research Centre Jülich Germany.,German Center for Neurodegenerative Diseases (DZNE) Bonn-Cologne Bonn Germany
| | - Marios Politis
- Neurodegeneration Imaging Group (NIG), Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London London United Kingdom
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences-MRI Research Center SUN-FISM University of Campania "Luigi Vanvitelli" Naples Italy
| | - Christine Ghadery
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Simon Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre University of Sydney Sydney NSW Australia
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23
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Prell T. Structural and Functional Brain Patterns of Non-Motor Syndromes in Parkinson's Disease. Front Neurol 2018; 9:138. [PMID: 29593637 PMCID: PMC5858029 DOI: 10.3389/fneur.2018.00138] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 02/26/2018] [Indexed: 11/26/2022] Open
Abstract
Parkinson’s disease (PD) is a common, progressive and multisystem neurodegenerative disorder characterized by motor and non-motor symptoms. Advanced magnetic resonance imaging, positron emission tomography, and functional magnetic resonance imaging can render the view toward understanding the neural basis of these non-motor syndromes, as they help to understand the underlying pathophysiological abnormalities. This review provides an up-to-date description of structural and functional brain alterations in patients with PD with cognitive deficits, visual hallucinations, fatigue, impulsive behavior disorders, sleep disorders, and pain.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany
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24
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Zhang L, Li T, Yuan Y, Tong Q, Jiang S, Wang M, Wang J, Ding J, Xu Q, Zhang K. Brain metabolic correlates of fatigue in Parkinson's disease: a PET study. Int J Neurosci 2017; 128:330-336. [PMID: 28918694 DOI: 10.1080/00207454.2017.1381093] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE The neural bases of fatigue in Parkinson's disease (PD) remain uncertain. We aimed to assess the brain metabolic correlates of fatigue in patients with PD. PATIENTS AND METHODS Twenty-seven PD patients without clinically relevant depression (17-item Hamilton Depression Rating Scale (HAMD) score ≥ 14), apathy (Apathy Scale (AS) score ≥ 14) and excessive daytime somnolence (Epworth Sleepiness Scale (ESS) score ≥ 10) were evaluated with Fatigue Severity Scale (FSS). Each patient had an F-18 fluorodeoxyglucose positron emission tomography (FDG-PET) scan. Motor symptoms were measured with the Unified Parkinson's Disease Rating Scale motor part. Levodopa equivalent daily dose for each patient was also calculated. The PET images were analyzed using statistical parametric mapping software. We introduced the age, educational level, HAMD scores, AS scores and ESS scores as covariates. RESULTS High FSS scores were associated with brain hypermetabolism in areas including the right middle temporal gyrus (Brodmann area (BA) 37) and left middle occipital gyrus (BA 19). Increased FSS scores correlated with hypometabolism in regions such as the right precuneus (BA 23), left inferior frontal gyrus (BA 45) and left superior frontal gyrus (orbital part, BA 11). CONCLUSION This study demonstrates that brain areas including frontal, temporal and parietal regions indicative of emotion, motivation and cognitive functions are involved in fatigue in PD patients.
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Affiliation(s)
- Li Zhang
- a Department of Neurology , Wuxi People's Hospital of Nanjing Medical University , Wuxi , China
| | - Tiannv Li
- b Department of Nuclear Medicine , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Yongsheng Yuan
- c Department of Neurology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Qing Tong
- d Department of Neurology , The Affiliated Hospital of Xuzhou Medical College , Xuzhou , China
| | - Siming Jiang
- c Department of Neurology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Min Wang
- e Department of Radiology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Jianwei Wang
- e Department of Radiology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Jian Ding
- c Department of Neurology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Qinrong Xu
- c Department of Neurology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
| | - Kezhong Zhang
- c Department of Neurology , The First Affiliated Hospital of Nanjing Medical University , Nanjing , China
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25
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Jellinger KA. Neuropathology of Nonmotor Symptoms of Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:13-62. [PMID: 28802920 DOI: 10.1016/bs.irn.2017.05.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Parkinson's disease (PD), a multiorgan neurodegenerative disorder associated with α-synuclein deposits throughout the nervous system and many organs, is clinically characterized by motor and nonmotor features, many of the latter antedating motor dysfunctions by 20 or more years. The causes of the nonmotor manifestations such as olfactory, autonomic, sensory, neuropsychiatric, visuospatial, sleep, and other disorders are unlikely to be related to single lesions. They are mediated by the involvement of both dopaminergic and nondopaminergic systems, and diverse structures outside the nigrostriatal system that is mainly responsible for the motor features of PD. The nonmotor alterations appear in early/prodromal stages of the disease and its further progression, suggesting a topographical and chronological spread of the lesions. This lends further support for the notion that PD is a multiorgan proteinopathy, although the exact relationship between presymptomatic and later developing nonmotor features of PD and neuropathology awaits further elucidation.
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26
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Peterson AC, Zhang S, Hu S, Chao HH, Li CSR. The Effects of Age, from Young to Middle Adulthood, and Gender on Resting State Functional Connectivity of the Dopaminergic Midbrain. Front Hum Neurosci 2017; 11:52. [PMID: 28223929 PMCID: PMC5293810 DOI: 10.3389/fnhum.2017.00052] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 01/24/2017] [Indexed: 01/31/2023] Open
Abstract
Dysfunction of the dopaminergic ventral tegmental area (VTA) and substantia nigra pars compacta (SNc) is implicated in psychiatric disorders including attention-deficit/ hyperactivity disorder (ADHD), addiction, schizophrenia and movement disorders such as Parkinson's disease (PD). Although the prevalence of these disorders varies by age and sex, the underlying neural mechanism is not well understood. The objective of this study was to delineate the distinct resting state functional connectivity (rsFC) of the VTA and SNc and examine the effects of age, from young to middle-adulthood, and sex on the rsFC of these two dopaminergic structures in a data set of 250 healthy adults (18-49 years of age, 104 men). Using blood oxygenation level dependent (BOLD) signals, we correlated the time course of the VTA and SNc to the time courses of all other brain voxels. At a corrected threshold, paired t-test showed stronger VTA connectivity to bilateral angular gyrus and superior/middle and orbital frontal regions and stronger SNc connectivity to the insula, thalamus, parahippocampal gyrus (PHG) and amygdala. Compared to women, men showed a stronger VTA/SNc connectivity to the left posterior orbital gyrus. In linear regressions, men but not women showed age-related changes in VTA/SNc connectivity to a number of cortical and cerebellar regions. Supporting shared but also distinct cerebral rsFC of the VTA and SNc and gender differences in age-related changes from young and middle adulthood in VTA/SNc connectivity, these new findings help advance our understanding of the neural bases of many neuropsychiatric illnesses that implicate the dopaminergic systems.
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Affiliation(s)
- Andrew C Peterson
- Frank H. Netter MD School of Medicine at Quinnipiac University North Haven, CT, USA
| | - Sheng Zhang
- Department of Psychiatry, Yale University School of Medicine New Haven, CT, USA
| | - Sien Hu
- Department of Psychiatry, Yale University School of Medicine New Haven, CT, USA
| | - Herta H Chao
- Department of Internal Medicine, Yale University School of MedicineNew Haven, CT, USA; Veterans Administration Medical CenterWest Haven, CT, USA
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of MedicineNew Haven, CT, USA; Department of Neuroscience, Yale University School of MedicineNew Haven, CT, USA; Interdepartmental Neuroscience Program, Yale University School of MedicineNew Haven, CT, USA
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27
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Strafella AP, Bohnen NI, Perlmutter JS, Eidelberg D, Pavese N, Van Eimeren T, Piccini P, Politis M, Thobois S, Ceravolo R, Higuchi M, Kaasinen V, Masellis M, Peralta MC, Obeso I, Pineda-Pardo JÁ, Cilia R, Ballanger B, Niethammer M, Stoessl JA. Molecular imaging to track Parkinson's disease and atypical parkinsonisms: New imaging frontiers. Mov Disord 2017; 32:181-192. [DOI: 10.1002/mds.26907] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 11/21/2016] [Accepted: 11/27/2016] [Indexed: 12/23/2022] Open
Affiliation(s)
- Antonio P. Strafella
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Div/Dept. Medicine, Toronto Western Hospital, UHN; Krembil Research Institute, UHN; Research Imaging Centre, Campbell Family Mental Health Research Institute, CAMH; University of Toronto; Ontario Canada
| | - Nicolaas I. Bohnen
- University of Michigan & Veterans Administration Medical Center; Ann Arbor Michigan USA
| | - Joel S. Perlmutter
- Neurology, Radiology, Neuroscience, Physical Therapy & Occupational Therapy; Washington University in St. Louis; St. Louis Missouri USA
| | - David Eidelberg
- Center for Neurosciences; The Feinstein Institute for Medical Research; Manhasset New York USA
| | - Nicola Pavese
- Newcastle Magnetic Resonance Centre & Positron Emission Tomography Centre; Newcastle University; Campus for Ageing & Vitality Newcastle upon Tyne United Kingdom
| | - Thilo Van Eimeren
- Multimodal Neuroimaging Group-Department of Nuclear Medicine Department of Neurology-University of Cologne; Institute of Neuroscience and Medicine, Jülich Research Center, German Center for Neurodegenerative Diseases (DZNE); Germany
| | - Paola Piccini
- Neurology Imaging Unit, Centre of Neuroinflammation and Neurodegeneration, Division of Brain Sciences, Hammersmith Campus; Imperial College London; United Kingdom
| | - Marios Politis
- Neurodegeneration Imaging Group, Department of Basic and Clinical Neuroscience, Institute of Psychiatry; Psychology and Neuroscience, King's College London; London United Kingdom
| | - Stephane Thobois
- Hospices Civils de Lyon, Hopital Neurologique Pierre Wertheimer; Université Lyon 1; CNRS, Centre de Neurosciences Cognitives; UMR 5229 Lyon France
| | - Roberto Ceravolo
- Department of Clinical and Experimental Medicine, Movement Disorders and Parkinson Center; University of Pisa; Italy
| | - Makoto Higuchi
- National Institute of Radiological Sciences; National Institutes for Quantum and Radiological Science and Technology; Chiba Japan
| | - Valtteri Kaasinen
- Division of Clinical Neurosciences, Turku University Hospital; Department of Neurology; University of Turku; Turku PET Centre, University of Turku; Turku Finland
| | - Mario Masellis
- Cognitive & Movement Disorders Clinic, Sunnybrook Health Sciences Centre; Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute; University of Toronto; Toronto Ontario Canada
| | - M. Cecilia Peralta
- Movement Disorder and Parkinson's Disease Program; CEMIC University Hospital; Buenos Aires Argentina
| | - Ignacio Obeso
- Centro Integral de Neurociencias (CINAC), Hospitales Madrid Puerta del Sur & Centro de Investigación Biomédica en Red; Enfermedades Neurodegenerativas (CIBERNED); Madrid Spain
| | - Jose Ángel Pineda-Pardo
- Centro Integral de Neurociencias (CINAC), Hospitales Madrid Puerta del Sur & Centro de Investigación Biomédica en Red; Enfermedades Neurodegenerativas (CIBERNED); Madrid Spain
| | - Roberto Cilia
- Parkinson Institute; ASST Gaetano Pini-CTO; Milan Italy
| | - Benedicte Ballanger
- INSERM, U1028; CNRS, UMR5292; Lyon Neuroscience Research Center, Neuroplasticity & Neuropathology of Olfactory Perception Team; University Lyon; France
| | - Martin Niethammer
- Center for Neurosciences; The Feinstein Institute for Medical Research; Manhasset New York USA
| | - Jon A. Stoessl
- Pacific Parkinson's Research Centre & National Parkinson Foundation Centre of Excellence; University of British Columbia & Vancouver Coastal Health; Vancouver British Columbia Canada
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28
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Kluger BM. Fatigue in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:743-768. [DOI: 10.1016/bs.irn.2017.05.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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