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Grießbach E, Raßbach P, Herbort O, Cañal-Bruland R. Embodied decision biases: individually stable across different tasks? Exp Brain Res 2023; 241:1053-1064. [PMID: 36907885 PMCID: PMC10082122 DOI: 10.1007/s00221-023-06591-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/01/2023] [Indexed: 03/14/2023]
Abstract
In everyday life, action and decision-making often run in parallel. Action-based models argue that action and decision-making strongly interact and, more specifically, that action can bias decision-making. This embodied decision bias is thought to originate from changes in motor costs and/or cognitive crosstalk. Recent research confirmed embodied decision biases for different tasks including walking and manual movements. Yet, whether such biases generalize within individuals across different tasks remains to be determined. To test this, we used two different decision-making tasks that have independently been shown to reliably produce embodied decision biases. In a within-participant design, participants performed two tasks in a counterbalanced fashion: (i) a walking paradigm for which it is known that motor costs systematically influence reward decisions, and (ii) a manual movement task in which motor costs and cognitive crosstalk have been shown to impact reward decisions. In both tasks, we successfully replicated the predicted embodied decision biases. However, there was no evidence that the strength of the biases correlated between tasks. Hence, our findings do not confirm that embodied decision biases transfer between tasks. Future research is needed to examine whether this lack of transfer may be due to different causes underlying the impact of motor costs on decisions and the impact of cognitive crosstalk or task-specific differences.
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Affiliation(s)
- Eric Grießbach
- Department for the Psychology of Human Movement and Sport, Friedrich Schiller University Jena, Jena, Germany.
| | - Philipp Raßbach
- Department of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Oliver Herbort
- Department of Psychology, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Rouwen Cañal-Bruland
- Department for the Psychology of Human Movement and Sport, Friedrich Schiller University Jena, Jena, Germany.
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2
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Linchevski I, Maimon A, Golland Y, Zeharia N, Amedi A, Levit-Binnun N. Integrating mind and body: Investigating differential activation of nodes of the default mode network. Restor Neurol Neurosci 2023; 41:115-127. [PMID: 37742669 PMCID: PMC10741374 DOI: 10.3233/rnn-231334] [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] [Indexed: 09/26/2023]
Abstract
BACKGROUND The default mode network (DMN) is a large-scale brain network tightly correlated with self and self-referential processing, activated by intrinsic tasks and deactivated by externally-directed tasks. OBJECTIVE In this study, we aim to investigate the novel approach of default mode activation during progressive muscle relaxation and examine whether differential activation patterns result from the movement of different body parts. METHODS We employed neuroimaging to investigate DMN activity during simple body movements, while performing progressive muscle relaxation. We focused on differentiating the neural response between facial movements and movements of other body parts. RESULTS Our results show that the movement of different body parts led to deactivation in several DMN nodes, namely the temporal poles, hippocampus, medial prefrontal cortex (mPFC), and posterior cingulate cortex. However, facial movement induced an inverted and selective positive BOLD pattern in some of these areas precisely. Moreover, areas in the temporal poles selective for face movement showed functional connectivity not only with the hippocampus and mPFC but also with the nucleus accumbens. CONCLUSIONS Our findings suggest that both conceptual and embodied self-related processes, including body movements during progressive muscle relaxation, may be mapped onto shared brain networks. This could enhance our understanding of how practices like PMR influence DMN activity and potentially offer insights to inform therapeutic strategies that rely on mindful body movements.
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Affiliation(s)
- Inbal Linchevski
- Sagol Center for Brain and Mind, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
| | - Amber Maimon
- The Baruch Ivcher Institute for Brain, Cognition and Technology, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
- The Ruth & Meir Rosental Brain Imaging (MRI) Center, Reichman University, Herzliya, Israel
| | - Yulia Golland
- Sagol Center for Brain and Mind, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
| | - Noa Zeharia
- The Baruch Ivcher Institute for Brain, Cognition and Technology, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
| | - Amir Amedi
- The Baruch Ivcher Institute for Brain, Cognition and Technology, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
- The Ruth & Meir Rosental Brain Imaging (MRI) Center, Reichman University, Herzliya, Israel
| | - Nava Levit-Binnun
- Sagol Center for Brain and Mind, Baruch Ivcher School of Psychology, Reichman University, Herzliya, Israel
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3
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Izquierdo-Alventosa R, Inglés M, Cortés-Amador S, Gimeno-Mallench L, Sempere-Rubio N, Serra-Añó P. Effectiveness of High-Frequency Transcranial Magnetic Stimulation and Physical Exercise in Women With Fibromyalgia: A Randomized Controlled Trial. Phys Ther 2021; 101:6312574. [PMID: 34216139 DOI: 10.1093/ptj/pzab159] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 03/19/2021] [Accepted: 05/17/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Fibromyalgia (FM) is characterized by chronic widespread pain and both physical and emotional alterations, which in turn may affect the individual's quality of life. Thus, interventions aimed at treating such symptoms, without increasing fatigue, are needed. The aim of this study was to explore the effect of high-frequency transcranial magnetic stimulation (HF-TMS) and physical exercise (PE) on pain, impact of FM, physical conditioning, and emotional status in women with FM. METHODS Forty-nine women with FM were randomly allocated to: (1) a PE group (PEG, n = 16), who underwent an 8-week (two 60-minute sessions/wk) low-intensity PE program; (2) a TMS group (TMSG, n = 17) receiving a 2-week (five 20-minute sessions/wk) HF-TMS intervention; and (3) a control group (CG, n = 16). Pain (ie, perceived pain and average pressure pain threshold), perceived impact of FM (ie, overall impact, symptoms, and perceived physical function), physical conditioning (ie, endurance and functional capacity, fatigue, gait velocity, and power), and emotional status (ie, anxiety, depression, stress, and satisfaction) were assessed at baseline (T0) and after the intervention (T1, at 2 weeks for TMSG and at 8 weeks for PEG and CG). RESULTS The TMSG showed significant improvement in all studied variables after the intervention except for satisfaction, whereas the PEG showed improved average pressure pain threshold, perceived overall impact of FM and total score, endurance and functional capacity, velocity and power, anxiety, depression, and stress. In contrast, the CG showed no improvements in any variable. CONCLUSION Both PE and HF-TMS are effective in improving pain, impact of FM, physical conditioning, and emotional status in people with FM; HF-TMS achieved larger improvements in emotional status than PE. IMPACT TMS and PE have similar benefits for physical status, whereas TMS has greater benefits than PE for emotional status in women with FM.
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Affiliation(s)
- Ruth Izquierdo-Alventosa
- UBIC Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Marta Inglés
- Freshage Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Sara Cortés-Amador
- UBIC Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Lucia Gimeno-Mallench
- Freshage Research Group, Department of Physiology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Núria Sempere-Rubio
- UBIC Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
| | - Pilar Serra-Añó
- UBIC Research Group, Department of Physiotherapy, Faculty of Physiotherapy, University of Valencia, Valencia, Spain
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4
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Altered Regional Homogeneity and Functional Connectivity during Microlesion Period after Deep Brain Stimulation in Parkinson's Disease. PARKINSON'S DISEASE 2021; 2021:2711365. [PMID: 34512944 PMCID: PMC8429001 DOI: 10.1155/2021/2711365] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 08/10/2021] [Accepted: 08/23/2021] [Indexed: 11/28/2022]
Abstract
Background Patients with Parkinson's disease (PD) undergoing deep brain electrode implantation experience a temporary improvement in motor symptoms before the electrical stimulation begins. We usually call this the microlesion effect (MLE), but the mechanism behind it is not clear. Purpose This study aimed to assess the alterations in brain functions at the regional and whole-brain levels, using regional homogeneity (ReHo) and functional connectivity (FC), during the postoperative microlesion period after deep brain stimulation (DBS) in PD patients. Method Resting-state functional MRI data were collected from 27 PD patients before and after the first day of DBS and 12 healthy controls (HCs) in this study. The ReHo in combination with FC analysis was used to investigate the alterations of regional brain activity in all the subjects. Results There were increased ReHo in the basal ganglia-thalamocortical circuit (left supplementary motor area and bilateral paracentral lobule), whereas decreased ReHo in the default mode network (DMN) (left angular gyrus, bilateral precuneus), prefrontal cortex (bilateral middle frontal gyrus), and the cerebello-thalamocortical (CTC) circuit (Cerebellum_crus2/1_L) after DBS. In addition, we also found abnormal FC in the lingual gyrus, cerebellum, and DMN. Conclusion Microlesion of the thalamus caused by electrode implantation can alter the activity of the basal ganglia-thalamocortical circuit, prefrontal cortex, DMN, and CTC circuit and induce abnormal FC in the lingual gyrus, cerebellum, prefrontal cortex, and DMN among PD patients. The findings of this study contribute to the understanding of the mechanism of MLE.
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5
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Al Harrach M, Pretzel P, Groeschel S, Rousseau F, Dhollander T, Hertz-Pannier L, Lefevre J, Chabrier S, Dinomais M. A connectome-based approach to assess motor outcome after neonatal arterial ischemic stroke. Ann Clin Transl Neurol 2021; 8:1024-1037. [PMID: 33787079 PMCID: PMC8108427 DOI: 10.1002/acn3.51292] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 12/22/2022] Open
Abstract
Objective Studies of motor outcome after Neonatal Arterial Ischemic Stroke (NAIS) often rely on lesion mapping using MRI. However, clinical measurements indicate that motor deficit can be different than what would solely be anticipated by the lesion extent and location. Because this may be explained by the cortical disconnections between motor areas due to necrosis following the stroke, the investigation of the motor network can help in the understanding of visual inspection and outcome discrepancy. In this study, we propose to examine the structural connectivity between motor areas in NAIS patients compared to healthy controls in order to define the cortical and subcortical connections that can reflect the motor outcome. Methods Thirty healthy controls and 32 NAIS patients with and without Cerebral Palsy (CP) underwent MRI acquisition and manual assessment. The connectome of all participants was obtained from T1‐weighted and diffusion‐weighted imaging. Results Significant disconnections in the lesioned and contra‐lesioned hemispheres of patients were found. Furthermore, significant correlations were detected between the structural connectivity metric of specific motor areas and manuality assessed by the Box and Block Test (BBT) scores in patients. Interpretation Using the connectivity measures of these links, the BBT score can be estimated using a multiple linear regression model. In addition, the presence or not of CP can also be predicted using the KNN classification algorithm. According to our results, the structural connectome can be an asset in the estimation of gross manual dexterity and can help uncover structural changes between brain regions related to NAIS.
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Affiliation(s)
- Mariam Al Harrach
- Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Angers, 49000, France.,Université de Rennes 1, Laboratoire Traitement du Signal et de l'Image (LTSI), INSERM U1099, Rennes, F-35000, France
| | - Pablo Pretzel
- Experimental Paediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tübingen, Germany
| | - Samuel Groeschel
- Experimental Paediatric Neuroimaging, Department of Child Neurology, University Hospital Tübingen, Tübingen, Germany
| | | | - Thijs Dhollander
- Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia
| | - Lucie Hertz-Pannier
- UNIACT, Neurospin, Institut Joliot, CEA-Paris Saclay, Inserm U114, Université de Paris, Gif sur Yvette, F-91191, France
| | - Julien Lefevre
- Institut de Neurosciences de la Timone, UMR 7289, Aix Marseille Université, CNRS, Marseille, 13385, France
| | - Stéphane Chabrier
- INSERM, UMR1059 Sainbiose, Univ Saint-Étienne, Univ Lyon, Saint-Étienne, F-42023, France.,Paediatric Physical and Rehabilitation Medicine Department, CHU Saint-Étienne, French Centre for Paediatric Stroke, INSERM, CIC 1408, Saint-Étienne, F-42055, France
| | - Mickael Dinomais
- Université d'Angers, Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS) EA7315, Angers, 49000, France.,Département de Médecine Physique et de Réadaptions and LUNAM, CHU Angers, Angers, France
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6
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Tzvi E, Koeth F, Karabanov AN, Siebner HR, Krämer UM. Cerebellar – Premotor cortex interactions underlying visuomotor adaptation. Neuroimage 2020; 220:117142. [DOI: 10.1016/j.neuroimage.2020.117142] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 06/18/2020] [Accepted: 07/02/2020] [Indexed: 01/13/2023] Open
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7
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Hensel L, Tscherpel C, Freytag J, Ritter S, Rehme AK, Volz LJ, Eickhoff SB, Fink GR, Grefkes C. Connectivity-Related Roles of Contralesional Brain Regions for Motor Performance Early after Stroke. Cereb Cortex 2020; 31:993-1007. [DOI: 10.1093/cercor/bhaa270] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 08/22/2020] [Accepted: 08/25/2020] [Indexed: 02/07/2023] Open
Abstract
Abstract
Hemiparesis after stroke is associated with increased neural activity not only in the lesioned but also in the contralesional hemisphere. While most studies have focused on the role of contralesional primary motor cortex (M1) activity for motor performance, data on other areas within the unaffected hemisphere are scarce, especially early after stroke. We here combined functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) to elucidate the contribution of contralesional M1, dorsal premotor cortex (dPMC), and anterior intraparietal sulcus (aIPS) for the stroke-affected hand within the first 10 days after stroke. We used “online” TMS to interfere with neural activity at subject-specific fMRI coordinates while recording 3D movement kinematics. Interfering with aIPS activity improved tapping performance in patients, but not healthy controls, suggesting a maladaptive role of this region early poststroke. Analyzing effective connectivity parameters using a Lasso prediction model revealed that behavioral TMS effects were predicted by the coupling of the stimulated aIPS with dPMC and ipsilesional M1. In conclusion, we found a strong link between patterns of frontoparietal connectivity and TMS effects, indicating a detrimental influence of the contralesional aIPS on motor performance early after stroke.
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Affiliation(s)
- Lukas Hensel
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
| | - Caroline Tscherpel
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, 52428 Jülich, Germany
| | - Jana Freytag
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
| | - Stella Ritter
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
| | - Anne K Rehme
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
| | - Lukas J Volz
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
| | - Simon B Eickhoff
- Medical Faculty, Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
- Brain and Behaviour, Institute of Neuroscience and Medicine, (INM-7), Research Centre Jülich, 52428 Jülich, Germany
| | - Gereon R Fink
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, 52428 Jülich, Germany
| | - Christian Grefkes
- Faculty of Medicine and University Hospital Cologne, Department of Neurology, University of Cologne, 50931 Cologne, Germany
- Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Centre Jülich, 52428 Jülich, Germany
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8
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Gilson M, Zamora-López G, Pallarés V, Adhikari MH, Senden M, Campo AT, Mantini D, Corbetta M, Deco G, Insabato A. Model-based whole-brain effective connectivity to study distributed cognition in health and disease. Netw Neurosci 2020; 4:338-373. [PMID: 32537531 PMCID: PMC7286310 DOI: 10.1162/netn_a_00117] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 12/02/2019] [Indexed: 12/12/2022] Open
Abstract
Neuroimaging techniques are now widely used to study human cognition. The functional associations between brain areas have become a standard proxy to describe how cognitive processes are distributed across the brain network. Among the many analysis tools available, dynamic models of brain activity have been developed to overcome the limitations of original connectivity measures such as functional connectivity. This goes in line with the many efforts devoted to the assessment of directional interactions between brain areas from the observed neuroimaging activity. This opinion article provides an overview of our model-based whole-brain effective connectivity to analyze fMRI data, while discussing the pros and cons of our approach with respect to other established approaches. Our framework relies on the multivariate Ornstein-Uhlenbeck (MOU) process and is thus referred to as MOU-EC. Once tuned, the model provides a directed connectivity estimate that reflects the dynamical state of BOLD activity, which can be used to explore cognition. We illustrate this approach using two applications on task-evoked fMRI data. First, as a connectivity measure, MOU-EC can be used to extract biomarkers for task-specific brain coordination, understood as the patterns of areas exchanging information. The multivariate nature of connectivity measures raises several challenges for whole-brain analysis, for which machine-learning tools present some advantages over statistical testing. Second, we show how to interpret changes in MOU-EC connections in a collective and model-based manner, bridging with network analysis. Our framework provides a comprehensive set of tools that open exciting perspectives to study distributed cognition, as well as neuropathologies.
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Affiliation(s)
- Matthieu Gilson
- Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Gorka Zamora-López
- Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Vicente Pallarés
- Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Mohit H. Adhikari
- Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
| | - Mario Senden
- Department of Cognitive Neuroscience, University of Maastricht, Maastricht, The Netherlands
| | | | - Dante Mantini
- Neuroplasticity and Motor Control Research Group, KU Leuven, Leuven, Belgium
- Brain Imaging and Neural Dynamics Research Group, IRCCS San Camillo Hospital, Venice, Italy
| | - Maurizio Corbetta
- Department of Neuroscience, Venetian Institute of Molecular Medicine (VIMM) and Padova Neuroscience Center (PNC), University of Padua, Italy
- Department of Neurology, Radiology, and Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Gustavo Deco
- Center for Brain and Cognition and Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de la Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Andrea Insabato
- Institut de Neurosciences de la Timone, CNRS, Marseille, France
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9
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Hensel L, Hoffstaedter F, Caspers J, Michely J, Mathys C, Heller J, Eickhoff CR, Reetz K, Südmeyer M, Fink GR, Schnitzler A, Grefkes C, Eickhoff SB. Functional Connectivity Changes of Key Regions for Motor Initiation in Parkinson's Disease. Cereb Cortex 2020; 29:383-396. [PMID: 30418548 PMCID: PMC6294405 DOI: 10.1093/cercor/bhy259] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Indexed: 11/13/2022] Open
Abstract
Akinesia, a cardinal symptom of Parkinson's disease, has been linked to abnormal activation in putamen and posterior medial frontal cortex (pMFC). However, little is known whether clinical severity of akinesia is linked to dysfunctional connectivity of these regions. Using a seed-based approach, we here investigated resting-state functional connectivity (RSFC) of putamen, pMFC and primary motor cortex (M1) in 60 patients with Parkinson's disease on regular medication and 72 healthy controls. We found that in patients putamen featured decreases of connectivity for a number of cortical and subcortical areas engaged in sensorimotor and cognitive processing. In contrast, the pMFC showed reduced connectivity with a more focal cortical network involved in higher-level motor-cognition. Finally, M1 featured a selective disruption of connectivity in a network specifically connected with M1. Correlating clinical impairment with connectivity changes revealed a relationship between akinesia and reduced RSFC between pMFC and left intraparietal lobule (IPL). Together, the present study demonstrated RSFC decreases in networks for motor initiation and execution in Parkinson's disease. Moreover, results suggest a relationship between pMFC-IPL decoupling and the manifestation of akinetic symptoms.
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Affiliation(s)
- Lukas Hensel
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Institute of Neuroscience and Medicine, (INM-3: Cognitive Neuroscience), Research Centre Jülich, Jülich, Germany
| | - Felix Hoffstaedter
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
| | - Julian Caspers
- Institute of Neuroscience and Medicine, (INM1: Structural and Functional Organization of the Brain), Research Centre Jülich, Jülich, Germany.,Department of Diagnostic and Interventional Radiology, University Düsseldorf, Medical Faculty, Düsseldorf, Germany
| | - Jochen Michely
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Christian Mathys
- Department of Diagnostic and Interventional Radiology, University Du¨sseldorf, Medical Faculty, Düsseldorf, Germany
| | - Julia Heller
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Centre Jülich, Jülich, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine, (INM1: Structural and Functional Organization of the Brain), Research Centre Jülich, Jülich, Germany.,Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN Institute Molecular Neuroscience and Neuroimaging, Research Centre Jülich, Jülich, Germany
| | - Martin Südmeyer
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany.,Medical Faculty, Department of Neurology, Center for Movement Disorders and Neuromodulation, Heinrich Heine University, Düsseldorf, Germany
| | - Gereon R Fink
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Institute of Neuroscience and Medicine, (INM-3: Cognitive Neuroscience), Research Centre Jülich, Jülich, Germany
| | - Alfons Schnitzler
- Medical Faculty, Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, Düsseldorf, Germany.,Medical Faculty, Department of Neurology, Center for Movement Disorders and Neuromodulation, Heinrich Heine University, Düsseldorf, Germany
| | - Christian Grefkes
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Institute of Neuroscience and Medicine, (INM-3: Cognitive Neuroscience), Research Centre Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany
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10
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Wolpe N, Hezemans FH, Rowe JB. Alien limb syndrome: A Bayesian account of unwanted actions. Cortex 2020; 127:29-41. [PMID: 32155475 PMCID: PMC7212084 DOI: 10.1016/j.cortex.2020.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 12/06/2019] [Accepted: 02/04/2020] [Indexed: 11/13/2022]
Abstract
An alien limb is a debilitating disorder of volitional control. The core feature of alien limb is the performance of simple or complex semi-purposeful movements which the patient reports to be unintentional or unwanted, or occasionally in opposition to their intentions. Theories of the mechanism of alien limb phenomena have emphasised the role of disinhibition in the brain, and exaggerated action ‘affordances’. However, despite advances in cognitive neuroscience research and a large public and media interest, there has been no unifying computational and anatomical account of the cause of alien limb movements. Here, we extend Bayesian brain principles to propose that alien limb is a disorder of ‘predictive processing’ in hierarchical sensorimotor brain networks. Specifically, we suggest that alien limb results from predictions about action outcomes that are afforded unduly high precision. The principal mechanism for this abnormally high precision is an impairment in the relay of input from medial regions, predominantly the supplementary motor area (SMA), which modulate the precision of lateral brain regions encoding the predicted action outcomes. We discuss potential implications of this model for future research and treatment of alien limb.
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Affiliation(s)
- Noham Wolpe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
| | - Frank H Hezemans
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK
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11
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Behroozmand R, Johari K. Pathological attenuation of the right prefrontal cortex activity predicts speech and limb motor timing disorder in Parkinson’s disease. Behav Brain Res 2019; 369:111939. [DOI: 10.1016/j.bbr.2019.111939] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 05/06/2019] [Accepted: 05/06/2019] [Indexed: 10/26/2022]
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12
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Using Dual-Site Transcranial Magnetic Stimulation to Probe Connectivity between the Dorsolateral Prefrontal Cortex and Ipsilateral Primary Motor Cortex in Humans. Brain Sci 2019; 9:brainsci9080177. [PMID: 31357468 PMCID: PMC6721325 DOI: 10.3390/brainsci9080177] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2019] [Revised: 07/23/2019] [Accepted: 07/24/2019] [Indexed: 11/27/2022] Open
Abstract
Dual-site transcranial magnetic stimulation to the primary motor cortex (M1) and dorsolateral prefrontal cortex (DLPFC) can be used to probe functional connectivity between these regions. The purpose of this study was to characterize the effect of DLPFC stimulation on ipsilateral M1 excitability while participants were at rest and contracting the left- and right-hand first dorsal interosseous muscle. Twelve participants were tested in two separate sessions at varying inter-stimulus intervals (ISI: 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, and 20 ms) at two different conditioning stimulus intensities (80% and 120% of resting motor threshold). No significant effect on ipsilateral M1 excitability was found when applying a conditioning stimulus over DLPFC at any specific inter-stimulus interval or intensity in either the left or right hemisphere. Our findings suggest neither causal inhibitory nor faciliatory influences of DLPFC on ipsilateral M1 activity while participants were at rest or when performing an isometric contraction in the target hand muscle.
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Meder D, Herz DM, Rowe JB, Lehéricy S, Siebner HR. The role of dopamine in the brain - lessons learned from Parkinson's disease. Neuroimage 2019; 190:79-93. [DOI: 10.1016/j.neuroimage.2018.11.021] [Citation(s) in RCA: 78] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 10/25/2018] [Accepted: 11/16/2018] [Indexed: 11/30/2022] Open
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14
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Spiegelhalder K, Baglioni C, Regen W, Kyle SD, Nissen C, Hennig J, Doerr JP, Feige B, Riemann D. Brain Reactivity and Selective Attention to Sleep-Related Words in Patients With Chronic Insomnia. Behav Sleep Med 2018; 16:587-600. [PMID: 27967237 DOI: 10.1080/15402002.2016.1253014] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVE/BACKGROUND Sleep-related attentional bias has been suggested to represent an important factor for the maintenance of chronic insomnia. However, little is known about potentially underlying psychological mechanisms such as threat or craving. As these are associated with distinguishable brain activation patterns, we performed a functional neuroimaging study. PARTICIPANTS/METHODS Functional magnetic resonance imaging was used to investigate brain reactivity to sleep-related words in 20 patients with primary insomnia according to DSM-IV criteria and 35 good sleeper controls according to Research Diagnostic Criteria. In addition, an emotional Stroop task was performed in all participants outside the scanner to investigate sleep-related attentional bias. RESULTS Contrary to the hypotheses, patients with chronic insomnia did not differ from good sleeper controls in terms of threat- or craving-related brain reactivity to sleep-related words. In addition, the emotional Stroop task did not reveal any significant group difference in sleep-related attentional bias. Exploratory analyses did not show any significant correlations between brain reactivity/selective attention to sleep-related words and questionnaire scores/PSG parameters. CONCLUSIONS The results from the present study call into question that attentional bias to sleep-related stimuli is a core feature of chronic insomnia. Future studies may use pictorial stimuli and larger sample sizes for investigating sleep-related information processing in insomnia.
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Affiliation(s)
- Kai Spiegelhalder
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Chiara Baglioni
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Wolfram Regen
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Simon D Kyle
- b Sleep and Circadian Neuroscience Institute (SCNi), Nuffield Department of Clinical Neuroscience , University of Oxford , Oxford , England
| | - Christoph Nissen
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Jürgen Hennig
- c Department of Diagnostic Radiology , Medical Center of the University of Freiburg , Freiburg , Germany
| | - John-Peter Doerr
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Bernd Feige
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
| | - Dieter Riemann
- a Clinic for Psychiatry and Psychotherapy , Medical Center of the University of Freiburg , Freiburg , Germany
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15
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Behroozmand R, Johari K. Sensorimotor Impairment of Speech and Hand Movement Timing Processing in Parkinson’s Disease. J Mot Behav 2018; 51:561-571. [DOI: 10.1080/00222895.2018.1528204] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Roozbeh Behroozmand
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, University of South Carolina, SC 29028, Columbia
| | - Karim Johari
- Speech Neuroscience Lab, Department of Communication Sciences and Disorders, University of South Carolina, SC 29028, Columbia
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16
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Ji GJ, Hu P, Liu TT, Li Y, Chen X, Zhu C, Tian Y, Chen X, Wang K. Functional Connectivity of the Corticobasal Ganglia-Thalamocortical Network in Parkinson Disease: A Systematic Review and Meta-Analysis with Cross-Validation. Radiology 2018; 287:973-982. [PMID: 29514016 DOI: 10.1148/radiol.2018172183] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2024]
Abstract
Purpose To quantitatively summarize the functional connectivity (FC) feature of the corticobasal ganglia-thalamocortical (CBTC) network in patients with Parkinson disease (PD) by means of a meta-analysis with cross-validation. Materials and Methods For this prospective study, a systematic literature search in the PubMed and EMBASE databases was performed for resting-state functional magnetic resonance (MR) imaging studies of PD published between January 2000 and May 2017. Then, a coordinate-based meta-analysis was conducted by Effect Size-Signed Differential Mapping. A cross-validation analysis was performed by using an independent resting-state functional MR imaging data set that contained 25 patients with PD and 19 age-, sex-, and education-matched healthy control participants. Two-sample t test was performed on FC maps between PD and control groups. Results Thirty studies with 854 patients with PD and 831 control participants were included in this meta-analysis. The main meta-analysis found increased FC in the left pre- and postcentral gyrus in patients with PD compared with healthy control participants (z = 2.6; P < .001). The abnormality of the postcentral gyrus was further confirmed by subgroup meta-analyses on medication-naive (n = 25; z = 2.2; P < .001) and medication-off (n = 11; z = 1.5; P < .001) experiments, which suggested that the finding was unaffected by medication. The abnormality of the postcentral gyrus was cross-validated by the independent data set (t = 5.0; P < .05), which suggested a high reproducibility and generalizability. Conclusion This meta-analysis emphasizes the left postcentral gyrus as a critical region in PD, which may become a potential target for clinical intervention. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Gong-Jun Ji
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Panpan Hu
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Ting-Ting Liu
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Ying Li
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Xingui Chen
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Chunyan Zhu
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Yanghua Tian
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Xianwen Chen
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
| | - Kai Wang
- From the Department of Medical Psychology, Chaohu Clinical Medical College, Anhui Medical University, 81 Meishan Rd, Hefei, Anhui 230032, China (G.J.J., C.Z., K.W.); Collaborative Innovation Centre of Neuropsychiatric Disorder and Mental Health, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China (G.J.J., P.H., Xingui Chen, C.Z., Y.T., K.W.); and Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China (P.H., T.T.L., Y.L., Xingui Chen, Y.T., Xianwen Chen, K.W.)
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Ibáñez A, Zimerman M, Sedeño L, Lori N, Rapacioli M, Cardona JF, Suarez DMA, Herrera E, García AM, Manes F. Early bilateral and massive compromise of the frontal lobes. NEUROIMAGE-CLINICAL 2018; 18:543-552. [PMID: 29845003 PMCID: PMC5964834 DOI: 10.1016/j.nicl.2018.02.026] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 01/29/2018] [Accepted: 02/26/2018] [Indexed: 12/20/2022]
Abstract
The frontal lobes are one of the most complex brain structures involved in both domain-general and specific functions. The goal of this work was to assess the anatomical and cognitive affectations from a unique case with massive bilateral frontal affectation. We report the case of GC, an eight-year old child with nearly complete affectation of bilateral frontal structures and spared temporal, parietal, occipital, and cerebellar regions. We performed behavioral, neuropsychological, and imaging (MRI, DTI, fMRI) evaluations. Neurological and neuropsychological examinations revealed a mixed pattern of affected (executive control/abstraction capacity) and considerably preserved (consciousness, language, memory, spatial orientation, and socio-emotional) functions. Both structural (DTI) and functional (fMRI) connectivity evidenced abnormal anterior connections of the amygdala and parietal networks. In addition, brain structural connectivity analysis revealed almost complete loss of frontal connections, with atypical temporo-posterior pathways. Similarly, functional connectivity showed an aberrant frontoparietal network and relative preservation of the posterior part of the default mode network and the visual network. We discuss this multilevel pattern of behavioral, structural, and functional connectivity results. With its unique pattern of compromised and preserved structures and functions, this exceptional case offers new constraints and challenges for neurocognitive theories.
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Affiliation(s)
- Agustín Ibáñez
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Universidad Autónoma del Caribe, Barranquilla, Colombia; Center for Social and Cognitive Neuroscience (CSCN), School of Psychology, Universidad Adolfo Ibáñez, Santiago, Chile; Centre of Excellence in Cognition and its Disorders, Australian Research Council (ACR), Sydney, Australia.
| | - Máximo Zimerman
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
| | - Lucas Sedeño
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Nicolas Lori
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; Laboratory of Neuroimaging and Neuroscience (LANEN), Institute of Translational and Cognitive Neuroscience (INCyT), INECO Foundation, Rosario, Argentina
| | - Melina Rapacioli
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Juan F Cardona
- Instituto de Psicología, Universidad del Valle, Cali, Colombia
| | | | - Eduar Herrera
- Departamento de Estudios Psicológicos, Universidad ICESI, Cali, Colombia
| | - Adolfo M García
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina; National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina; Faculty of Education, National University of Cuyo (UNCuyo), Mendoza, Argentina
| | - Facundo Manes
- Institute of Cognitive and Translational Neuroscience (INCyT), INECO Foundation, Favaloro University, Buenos Aires, Argentina
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18
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The Neuropsychology of Movement and Movement Disorders: Neuroanatomical and Cognitive Considerations. J Int Neuropsychol Soc 2017; 23:768-777. [PMID: 29198273 DOI: 10.1017/s1355617717000698] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
This paper highlights major developments over the past two to three decades in the neuropsychology of movement and its disorders. We focus on studies in healthy individuals and patients, which have identified cognitive contributions to movement control and animal work that has delineated the neural circuitry that makes these interactions possible. We cover advances in three major areas: (1) the neuroanatomical aspects of the "motor" system with an emphasis on multiple parallel circuits that include cortical, corticostriate, and corticocerebellar connections; (2) behavioral paradigms that have enabled an appreciation of the cognitive influences on the preparation and execution of movement; and (3) hemispheric differences (exemplified by limb praxis, motor sequencing, and motor learning). Finally, we discuss the clinical implications of this work, and make suggestions for future research in this area. (JINS, 2017, 23, 768-777).
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19
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Pläschke RN, Cieslik EC, Müller VI, Hoffstaedter F, Plachti A, Varikuti DP, Goosses M, Latz A, Caspers S, Jockwitz C, Moebus S, Gruber O, Eickhoff CR, Reetz K, Heller J, Südmeyer M, Mathys C, Caspers J, Grefkes C, Kalenscher T, Langner R, Eickhoff SB. On the integrity of functional brain networks in schizophrenia, Parkinson's disease, and advanced age: Evidence from connectivity-based single-subject classification. Hum Brain Mapp 2017; 38:5845-5858. [PMID: 28876500 DOI: 10.1002/hbm.23763] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Revised: 07/06/2017] [Accepted: 07/30/2017] [Indexed: 01/10/2023] Open
Abstract
Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and, for any given network, between groups. Separate support vector machine classifications of 86 SCZ patients, 80 PD patients, and 95 older adults relative to their matched healthy/young controls, respectively, were performed on functional connectivity in 12 task-based, meta-analytically defined networks using 25 replications of a nested 10-fold cross-validation scheme. Classification performance of the various networks clearly differed between conditions, as those networks that best classified one disease were usually non-informative for the other. For SCZ, but not PD, emotion-processing, empathy, and cognitive action control networks distinguished patients most accurately from controls. For PD, but not SCZ, networks subserving autobiographical or semantic memory, motor execution, and theory-of-mind cognition yielded the best classifications. In contrast, young-old classification was excellent based on all networks and outperformed both clinical classifications. Our pattern-classification approach captured associations between clinical and developmental conditions and functional network integrity with a higher level of specificity than did previous whole-brain analyses. Taken together, our results support resting-state connectivity as a marker of functional dysregulation in specific networks known to be affected by SCZ and PD, while suggesting that aging affects network integrity in a more global way. Hum Brain Mapp 38:5845-5858, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Rachel N Pläschke
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Edna C Cieslik
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Veronika I Müller
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Felix Hoffstaedter
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Anna Plachti
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Deepthi P Varikuti
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Mareike Goosses
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Anne Latz
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Susanne Moebus
- Center for Urban Epidemiology, University of Duisburg-Essen, Essen, Germany
| | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Kathrin Reetz
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Julia Heller
- JARA-BRAIN, Jülich-Aachen Research Alliance, Jülich, Germany.,JARA-BRAIN Institute of Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Martin Südmeyer
- Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Center for Movement Disorders and Neuromodulation, Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Mathys
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Julian Caspers
- Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany.,Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian Grefkes
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine, Cognitive Neurology Group (INM-3), Research Centre Jülich, Jülich, Germany
| | - Tobias Kalenscher
- Comparative Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Robert Langner
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, Brain & Behavior (INM-7), Research Centre Jülich, Jülich, Germany.,Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,Institute of Neuroscience and Medicine, (INM-1), Research Centre Jülich, Jülich, Germany
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20
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Siniscalchi A. Use of RS-fMRI in Fabry disease. Neurology 2017; 88:1784-1785. [DOI: 10.1212/wnl.0000000000003925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Cocozza S, Pisani A, Olivo G, Saccà F, Ugga L, Riccio E, Migliaccio S, Brescia Morra V, Brunetti A, Quarantelli M, Tedeschi E. Alterations of functional connectivity of the motor cortex in Fabry disease. Neurology 2017; 88:1822-1829. [DOI: 10.1212/wnl.0000000000003913] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 01/20/2017] [Indexed: 11/15/2022] Open
Abstract
Objective:To evaluate the presence of functional connectivity (FC) alterations of the motor circuits in patients with Fabry disease (FD) and their possible correlation with clinical variables with a resting-state (RS) fMRI analysis.Methods:In our cross-sectional study, 32 patients with FD with genetically confirmed classic diagnosis of FD (12 men, mean age 43.3 ± 12.2 years) were enrolled along with 35 healthy controls (HCs) of comparable age and sex (14 men, mean age 42.1 ± 14.5 years). RS-fMRI data were analyzed with a seed-based approach, with 2 different seeds for right and left motor cortex. Patients with FD underwent a clinical examination for the assessment of different motor functions. Correlations with clinical variables were probed with the Spearman correlation coefficient.Results:A reduction of FC was found in patients with FD compared to HCs between both motor cortices and 2 clusters encompassing, for each side, the caudate and lenticular nucleus (p < 5 × 10−4 and p < 10−8 for right and left motor cortex, respectively) and between the left motor cortex and dentate nuclei (p = 0.01) and Crus 1 in the right cerebellar hemisphere (p = 0.001). No significant results emerged in tests for possible correlations of FC with clinical scores.Conclusions:An alteration of the corticostriatal pathway is present in FD, in line with the recently suggested subclinical involvement of motor circuits in this disease. These results shed new light on the pattern of cerebral involvement in FD.
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Skipper JI, Devlin JT, Lametti DR. The hearing ear is always found close to the speaking tongue: Review of the role of the motor system in speech perception. BRAIN AND LANGUAGE 2017; 164:77-105. [PMID: 27821280 DOI: 10.1016/j.bandl.2016.10.004] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2016] [Accepted: 10/24/2016] [Indexed: 06/06/2023]
Abstract
Does "the motor system" play "a role" in speech perception? If so, where, how, and when? We conducted a systematic review that addresses these questions using both qualitative and quantitative methods. The qualitative review of behavioural, computational modelling, non-human animal, brain damage/disorder, electrical stimulation/recording, and neuroimaging research suggests that distributed brain regions involved in producing speech play specific, dynamic, and contextually determined roles in speech perception. The quantitative review employed region and network based neuroimaging meta-analyses and a novel text mining method to describe relative contributions of nodes in distributed brain networks. Supporting the qualitative review, results show a specific functional correspondence between regions involved in non-linguistic movement of the articulators, covertly and overtly producing speech, and the perception of both nonword and word sounds. This distributed set of cortical and subcortical speech production regions are ubiquitously active and form multiple networks whose topologies dynamically change with listening context. Results are inconsistent with motor and acoustic only models of speech perception and classical and contemporary dual-stream models of the organization of language and the brain. Instead, results are more consistent with complex network models in which multiple speech production related networks and subnetworks dynamically self-organize to constrain interpretation of indeterminant acoustic patterns as listening context requires.
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Affiliation(s)
- Jeremy I Skipper
- Experimental Psychology, University College London, United Kingdom.
| | - Joseph T Devlin
- Experimental Psychology, University College London, United Kingdom
| | - Daniel R Lametti
- Experimental Psychology, University College London, United Kingdom; Department of Experimental Psychology, University of Oxford, United Kingdom
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Wolpe N, Ingram JN, Tsvetanov KA, Geerligs L, Kievit RA, Henson RN, Wolpert DM, Rowe JB. Ageing increases reliance on sensorimotor prediction through structural and functional differences in frontostriatal circuits. Nat Commun 2016; 7:13034. [PMID: 27694879 PMCID: PMC5063954 DOI: 10.1038/ncomms13034] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Accepted: 08/29/2016] [Indexed: 02/02/2023] Open
Abstract
The control of voluntary movement changes markedly with age. A critical component of motor control is the integration of sensory information with predictions of the consequences of action, arising from internal models of movement. This leads to sensorimotor attenuation-a reduction in the perceived intensity of sensations from self-generated compared with external actions. Here we show that sensorimotor attenuation occurs in 98% of adults in a population-based cohort (n=325; 18-88 years; the Cambridge Centre for Ageing and Neuroscience). Importantly, attenuation increases with age, in proportion to reduced sensory sensitivity. This effect is associated with differences in the structure and functional connectivity of the pre-supplementary motor area (pre-SMA), assessed with magnetic resonance imaging. The results suggest that ageing alters the balance between the sensorium and predictive models, mediated by the pre-SMA and its connectivity in frontostriatal circuits. This shift may contribute to the motor and cognitive changes observed with age.
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Affiliation(s)
- Noham Wolpe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK,Medical Research Council Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK,
| | - James N. Ingram
- Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
| | - Kamen A. Tsvetanov
- Centre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK
| | - Linda Geerligs
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK
| | - Rogier A. Kievit
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK
| | - Richard N. Henson
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK
| | - Daniel M. Wolpert
- Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
| | | | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge CB2 0SZ, UK,Medical Research Council Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK,Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK
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24
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Herz DM, Haagensen BN, Nielsen SH, Madsen KH, Løkkegaard A, Siebner HR. Resting-state connectivity predicts levodopa-induced dyskinesias in Parkinson's disease. Mov Disord 2016; 31:521-9. [PMID: 26954295 PMCID: PMC5069605 DOI: 10.1002/mds.26540] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2015] [Revised: 11/17/2015] [Accepted: 12/13/2015] [Indexed: 12/02/2022] Open
Abstract
Background Levodopa‐induced dyskinesias are a common side effect of dopaminergic therapy in PD, but their neural correlates remain poorly understood. Objectives This study examines whether dyskinesias are associated with abnormal dopaminergic modulation of resting‐state cortico‐striatal connectivity. Methods Twelve PD patients with peak‐of‐dose dyskinesias and 12 patients without dyskinesias were withdrawn from dopaminergic medication. All patients received a single dose of fast‐acting soluble levodopa and then underwent resting‐state functional magnetic resonance imaging before any dyskinesias emerged. Levodopa‐induced modulation of cortico‐striatal resting‐state connectivity was assessed between the putamen and the following 3 cortical regions of interest: supplementary motor area, primary sensorimotor cortex, and right inferior frontal gyrus. These functional connectivity measures were entered into a linear support vector classifier to predict whether an individual patient would develop dyskinesias after levodopa intake. Linear regression analysis was applied to test which connectivity measures would predict dyskinesia severity. Results Dopaminergic modulation of resting‐state connectivity between the putamen and primary sensorimotor cortex in the most affected hemisphere predicted whether patients would develop dyskinesias with a specificity of 100% and a sensitivity of 91% (P < .0001). Modulation of resting‐state connectivity between the supplementary motor area and putamen predicted interindividual differences in dyskinesia severity (R2 = 0.627, P = .004). Resting‐state connectivity between the right inferior frontal gyrus and putamen neither predicted dyskinesia status nor dyskinesia severity. Conclusions The results corroborate the notion that altered dopaminergic modulation of cortico‐striatal connectivity plays a key role in the pathophysiology of dyskinesias in PD. © 2016 International Parkinson and Movement Disorder Society
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Affiliation(s)
- Damian M Herz
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
| | - Brian N Haagensen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Silas H Nielsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Kristoffer H Madsen
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
| | - Annemette Løkkegaard
- Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.,Department of Neurology, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
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25
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fMRI in Neurodegenerative Diseases: From Scientific Insights to Clinical Applications. NEUROMETHODS 2016. [DOI: 10.1007/978-1-4939-5611-1_23] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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26
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Ciurleo R, Bonanno L, Di Lorenzo G, Bramanti P, Marino S. Metabolic changes in de novo Parkinson's disease after dopaminergic therapy: A proton magnetic resonance spectroscopy study. Neurosci Lett 2015; 599:55-60. [PMID: 26007705 DOI: 10.1016/j.neulet.2015.05.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Revised: 05/14/2015] [Accepted: 05/21/2015] [Indexed: 01/26/2023]
Abstract
The aim of this study was to assess metabolic changes in the motor cortex in de novo Parkinson's disease (PD) patients before and after therapy with ropinirole. Twenty de novo drug-naïve PD patients and 15 healthy controls underwent conventional magnetic resonance imaging and proton magnetic resonance spectroscopy imaging ((1)H-MRSI). The resonance intensities of N-acetylaspartate (NAA) and choline (Cho) were normalized for the resonance intensities of creatine (Cr). At baseline, lower NAA/Cr and NAA/Cho ratios and higher Cho/Cr ratios were found in the motor cortex of PD patients compared with controls (p<0.001). Ten months after ropinirole treatment, PD patients showed a significant clinical improvement in the UPDRS motor sub-scores (p<0.001) and an increase of NAA/Cr and NAA/Cho ratios (p<0.006 and p=0.01, respectively). A highly significant correlation between NAA/Cr and NAA/Cho ratios and UPDRS motor sub-scores was observed (r=-0.981 and r=-0.983, respectively). We could argue that the ropinirole efficacy to improve the motor performances is the result of partial restoration of neuronal functions, due to the increase of NAA in motor cortex.
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Affiliation(s)
| | - Lilla Bonanno
- IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy
| | | | | | - Silvia Marino
- IRCCS Centro Neurolesi Bonino-Pulejo, Messina, Italy; Department of Biomedical Sciences and Morphological and Functional Imaging, University of Messina, Messina, Italy.
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27
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Learning-induced autonomy of sensorimotor systems. Nat Neurosci 2015; 18:744-51. [PMID: 25849989 DOI: 10.1038/nn.3993] [Citation(s) in RCA: 382] [Impact Index Per Article: 38.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Accepted: 03/11/2015] [Indexed: 12/24/2022]
Abstract
Distributed networks of brain areas interact with one another in a time-varying fashion to enable complex cognitive and sensorimotor functions. Here we used new network-analysis algorithms to test the recruitment and integration of large-scale functional neural circuitry during learning. Using functional magnetic resonance imaging data acquired from healthy human participants, we investigated changes in the architecture of functional connectivity patterns that promote learning from initial training through mastery of a simple motor skill. Our results show that learning induces an autonomy of sensorimotor systems and that the release of cognitive control hubs in frontal and cingulate cortices predicts individual differences in the rate of learning on other days of practice. Our general statistical approach is applicable across other cognitive domains and provides a key to understanding time-resolved interactions between distributed neural circuits that enable task performance.
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28
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Cohen Kadosh R. Modulating and enhancing cognition using brain stimulation: Science and fiction. JOURNAL OF COGNITIVE PSYCHOLOGY 2015. [DOI: 10.1080/20445911.2014.996569] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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29
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Michely J, Volz LJ, Barbe MT, Hoffstaedter F, Viswanathan S, Timmermann L, Eickhoff SB, Fink GR, Grefkes C. Dopaminergic modulation of motor network dynamics in Parkinson's disease. Brain 2015; 138:664-78. [PMID: 25567321 PMCID: PMC4339773 DOI: 10.1093/brain/awu381] [Citation(s) in RCA: 94] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Using connectivity analyses based on functional MRI, Michely et al. investigate dopaminergic modulation of neural network dynamics involved in motor control in Parkinson’s disease. The findings provide insights into the pathophysiology underlying bradykinesia and deficits in executive function, and help to explain why dopaminergic treatments have a greater effect on the former. Although characteristic motor symptoms of Parkinson’s disease such as bradykinesia typically improve under dopaminergic medication, deficits in higher motor control are less responsive. We here investigated the dopaminergic modulation of network dynamics underlying basic motor performance, i.e. finger tapping, and higher motor control, i.e. internally and externally cued movement preparation and selection. Twelve patients, assessed ON and OFF medication, and 12 age-matched healthy subjects underwent functional magnetic resonance imaging. Dynamic causal modelling was used to assess effective connectivity in a motor network comprising cortical and subcortical regions. In particular, we investigated whether impairments in basic and higher motor control, and the effects induced by dopaminergic treatment are due to connectivity changes in (i) the mesial premotor loop comprising the supplementary motor area; (ii) the lateral premotor loop comprising lateral premotor cortex; and (iii) cortico-subcortical interactions. At the behavioural level, we observed a marked slowing of movement preparation and selection when patients were internally as opposed to externally cued. Preserved performance during external cueing was associated with enhanced connectivity between prefrontal cortex and lateral premotor cortex OFF medication, compatible with a context-dependent compensatory role of the lateral premotor loop in the hypodopaminergic state. Dopaminergic medication significantly improved finger tapping speed in patients, which correlated with a drug-induced coupling increase of prefrontal cortex with the supplementary motor area, i.e. the mesial premotor loop. In addition, only in the finger tapping condition, patients ON medication showed enhanced excitatory influences exerted by cortical premotor regions and the thalamus upon the putamen. In conclusion, the amelioration of bradykinesia by dopaminergic medication seems to be driven by enhanced connectivity within the mesial premotor loop and cortico-striatal interactions. In contrast, medication did not improve internal motor control deficits concurrent to missing effects at the connectivity level. This differential effect of dopaminergic medication on the network dynamics underlying motor control provides new insights into the clinical finding that in Parkinson’s disease dopaminergic drugs especially impact on bradykinesia but less on executive functions.
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Affiliation(s)
- Jochen Michely
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 2 Max Planck Institute for Neurological Research, Gleueler Str. 50, 50931 Cologne, Germany
| | - Lukas J Volz
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 2 Max Planck Institute for Neurological Research, Gleueler Str. 50, 50931 Cologne, Germany
| | - Michael T Barbe
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany
| | - Felix Hoffstaedter
- 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany 4 Department of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Shivakumar Viswanathan
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany
| | - Lars Timmermann
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany
| | - Simon B Eickhoff
- 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany 4 Department of Clinical Neuroscience and Medical Psychology, Heinrich Heine University, 40225 Düsseldorf, Germany
| | - Gereon R Fink
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany
| | - Christian Grefkes
- 1 Department of Neurology, Cologne University Hospital, Kerpener Str. 62, 50937 Cologne, Germany 2 Max Planck Institute for Neurological Research, Gleueler Str. 50, 50931 Cologne, Germany 3 Institute of Neuroscience and Medicine (INM-1, INM-3), Research Centre Jülich, 52425 Jülich, Germany
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Wolpe N, Rowe JB. Beyond the "urge to move": objective measures for the study of agency in the post-Libet era. Front Hum Neurosci 2014; 8:450. [PMID: 24999325 PMCID: PMC4064703 DOI: 10.3389/fnhum.2014.00450] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2014] [Accepted: 06/03/2014] [Indexed: 02/02/2023] Open
Abstract
The investigation of human volition is a longstanding endeavor from both philosophers and researchers. Yet because of the major challenges associated with capturing voluntary movements in an ecologically relevant state in the research environment, it is only in recent years that human agency has grown as a field of cognitive neuroscience. In particular, the seminal work of Libet et al. (1983) paved the way for a neuroscientific approach to agency. Over the past decade, new objective paradigms have been developed to study agency, drawing upon emerging concepts from cognitive and computational neuroscience. These include the chronometric approach of Libet's study which is embedded in the "intentional binding" paradigm, optimal motor control theory and most recent insights from active inference theory. Here we review these principal methods and their application to the study of agency in health and the insights gained from their application to neurological and psychiatric disorders. We show that the neuropsychological paradigms that are based upon these new approaches have key advantages over traditional experimental designs. We propose that these advantages, coupled with advances in neuroimaging, create a powerful set of tools for understanding human agency and its neurobiological basis.
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Affiliation(s)
- Noham Wolpe
- Department of Clinical Neurosciences, University of CambridgeCambridge, UK
- Medical Research Council, Cognition and Brain Sciences UnitCambridge, UK
| | - James B. Rowe
- Department of Clinical Neurosciences, University of CambridgeCambridge, UK
- Medical Research Council, Cognition and Brain Sciences UnitCambridge, UK
- Behavioural and Clinical Neuroscience Institute, University of CambridgeCambridge, UK
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31
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Kiyama S, Kunimi M, Iidaka T, Nakai T. Distant functional connectivity for bimanual finger coordination declines with aging: an fMRI and SEM exploration. Front Hum Neurosci 2014; 8:251. [PMID: 24795606 PMCID: PMC4007017 DOI: 10.3389/fnhum.2014.00251] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2013] [Accepted: 04/04/2014] [Indexed: 11/13/2022] Open
Abstract
Although bimanual finger coordination is known to decline with aging, it still remains unclear how exactly the neural substrates underlying the coordination differ between young and elderly adults. The present study focused on: (1) characterization of the functional connectivity within the motor association cortex which is required for successful bimanual finger coordination, and (2) to elucidate upon its age-related decline. To address these objectives, we utilized functional magnetic resonance imaging (fMRI) in combination with structural equation modeling (SEM). This allowed us to compare functional connectivity models between young and elderly age groups during a visually guided bimanual finger movement task using both stable in-phase and complex anti-phase modes. Our SEM exploration of functional connectivity revealed significant age-related differences in connections surrounding the PMd in the dominant hemisphere. In the young group who generally displayed accurate behavior, the SEM model for the anti-phase mode exhibited significant connections from the dominant PMd to the non-dominant SPL, and from the dominant PMd to the dominant S1. However, the model for the elderly group's anti-phase mode in which task performance dropped, did not exhibit significant connections within the aforementioned regions. These results suggest that: (1) the dominant PMd acts as an intermediary to invoke intense intra- and inter-hemispheric connectivity with distant regions among the higher motor areas including the dominant S1 and the non-dominant SPL in order to achieve successful bimanual finger coordination, and (2) the distant connectivity among the higher motor areas declines with aging, whereas the local connectivity within the bilateral M1 is enhanced for the complex anti-phase mode. The latter may underlie the elderly's decreased performance in the complex anti-phase mode of the bimanual finger movement task.
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Affiliation(s)
- Sachiko Kiyama
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
| | - Mitsunobu Kunimi
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
| | - Tetsuya Iidaka
- Department of Psychiatry, Graduate School of Medicine, Nagoya University Nagoya, Japan
| | - Toshiharu Nakai
- Neuroimaging and Informatics Lab, National Center for Geriatrics and Gerontology Ohbu, Japan
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Siebner HR, Strafella AP, Rowe JB. The white elephant revived: a new marriage between PET and MRI: comment to Cumming: "PET neuroimaging: the white elephant packs his trunk?". Neuroimage 2014; 84:1104-6. [PMID: 24084070 DOI: 10.1016/j.neuroimage.2013.09.052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Revised: 09/17/2013] [Accepted: 09/22/2013] [Indexed: 02/05/2023] Open
Affiliation(s)
- Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
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Wang Z, Myers KG, Guo Y, Ocampo MA, Pang RD, Jakowec MW, Holschneider DP. Functional reorganization of motor and limbic circuits after exercise training in a rat model of bilateral parkinsonism. PLoS One 2013; 8:e80058. [PMID: 24278239 PMCID: PMC3836982 DOI: 10.1371/journal.pone.0080058] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2013] [Accepted: 10/09/2013] [Indexed: 01/30/2023] Open
Abstract
Exercise training is widely used for neurorehabilitation of Parkinson's disease (PD). However, little is known about the functional reorganization of the injured brain after long-term aerobic exercise. We examined the effects of 4 weeks of forced running wheel exercise in a rat model of dopaminergic deafferentation (bilateral, dorsal striatal 6-hydroxydopamine lesions). One week after training, cerebral perfusion was mapped during treadmill walking or at rest using [(14)C]-iodoantipyrine autoradiography. Regional cerebral blood flow-related tissue radioactivity (rCBF) was analyzed in three-dimensionally reconstructed brains by statistical parametric mapping. In non-exercised rats, lesions resulted in persistent motor deficits. Compared to sham-lesioned rats, lesioned rats showed altered functional brain activation during walking, including: 1. hypoactivation of the striatum and motor cortex; 2. hyperactivation of non-lesioned areas in the basal ganglia-thalamocortical circuit; 3. functional recruitment of the red nucleus, superior colliculus and somatosensory cortex; 4. hyperactivation of the ventrolateral thalamus, cerebellar vermis and deep nuclei, suggesting recruitment of the cerebellar-thalamocortical circuit; 5. hyperactivation of limbic areas (amygdala, hippocampus, ventral striatum, septum, raphe, insula). These findings show remarkable similarities to imaging findings reported in PD patients. Exercise progressively improved motor deficits in lesioned rats, while increasing activation in dorsal striatum and rostral secondary motor cortex, attenuating a hyperemia of the zona incerta and eliciting a functional reorganization of regions participating in the cerebellar-thalamocortical circuit. Both lesions and exercise increased activation in mesolimbic areas (amygdala, hippocampus, ventral striatum, laterodorsal tegmental n., ventral pallidum), as well as in related paralimbic regions (septum, raphe, insula). Exercise, but not lesioning, resulted in decreases in rCBF in the medial prefrontal cortex (cingulate, prelimbic, infralimbic). Our results in this PD rat model uniquely highlight the breadth of functional reorganizations in motor and limbic circuits following lesion and long-term, aerobic exercise, and provide a framework for understanding the neural substrates underlying exercise-based neurorehabilitation.
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Affiliation(s)
- Zhuo Wang
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Kalisa G. Myers
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Yumei Guo
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Marco A. Ocampo
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Raina D. Pang
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
| | - Michael W. Jakowec
- Department of Neurology, University of Southern California, Los Angeles, California, United States of America
| | - Daniel P. Holschneider
- Department of Psychiatry and Behavioral Sciences, University of Southern California, Los Angeles, California, United States of America
- Department of Neurology, University of Southern California, Los Angeles, California, United States of America
- Department of Cell and Neurobiology, University of Southern California, Los Angeles, California, United States of America
- Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America
- * E-mail:
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Abstract
The neurobiological basis of psychogenic movement disorders (PMDs) has been elusive, and they remain difficult to treat. In the last few years, functional neuroimaging studies have provided insight into their pathophysiology and neural correlates. Here, we review the various methodological approaches that have been used in both clinical and research practice to address neural correlates of functional disorders. We then review the dominant hypotheses generated from the literature on psychogenic paralysis. Overall, these studies emphasize abnormalities in the prefrontal and anterior cingulate cortices. Recently, functional neuroimaging has been used to specifically examine PMDs. These studies have addressed a major point of controversy: whether higher frontal brain areas are directly responsible for inhibiting motor areas or whether they reflect modulation by attentional and/or emotional processes. In addition to elucidating the mechanism and cause, recent work has also explored the lack of agency that characterizes PMDs. We describe the results and implications of the results of these imaging studies and discuss possible interpretations.
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Affiliation(s)
- Arpan R. Mehta
- Division of Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - James B. Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
- Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
- Behavioural and Clinical Neuroscience Institute, Cambridge, UK
| | - Anette E. Schrag
- Institute of Neurology, Royal Free Campus, University College London, London, UK
- UCL Institute of Neurology, University College London, Royal Free Campus, Clinical Neurosciences, Rowland Hill Street, London, NW3 2PF UK
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Herz DM, Eickhoff SB, Løkkegaard A, Siebner HR. Functional neuroimaging of motor control in Parkinson's disease: a meta-analysis. Hum Brain Mapp 2013; 35:3227-37. [PMID: 24123553 DOI: 10.1002/hbm.22397] [Citation(s) in RCA: 131] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2013] [Revised: 08/07/2013] [Accepted: 08/13/2013] [Indexed: 12/13/2022] Open
Abstract
Functional neuroimaging has been widely used to study the activation patterns of the motor network in patients with Parkinson's disease (PD), but these studies have yielded conflicting results. This meta-analysis of previous neuroimaging studies was performed to identify patterns of abnormal movement-related activation in PD that were consistent across studies. We applied activation likelihood estimation (ALE) of functional neuroimaging studies probing motor function in patients with PD. The meta-analysis encompassed data from 283 patients with PD reported in 24 functional neuroimaging studies and yielded consistent alterations in neural activity in patients with PD. Differences in cortical activation between PD patients and healthy controls converged in a left-lateralized fronto-parietal network comprising the presupplementary motor area, primary motor cortex, inferior parietal cortex, and superior parietal lobule. Both, increases as well as decreases in motor cortical activity, which were related to differences in movement timing and selection in the applied motor tasks, were reported in these cortical areas. In the basal ganglia, PD patients expressed a decrease of motor activation in the posterior motor putamen, which improved with dopaminergic medication. The likelihood of detecting a decrease in putaminal activity increased with motor impairment. This reduced motor activation of the posterior putamen across previous neuroimaging studies indicates that nigrostriatal dopaminergic denervation affects neural processing in the denervated striatal motor territory. In contrast, fronto-parietal motor areas display both increases as well as decreases in movement related activation. This points to a more complex relationship between altered cortical physiology and nigrostriatal dopaminergic denervation in PD.
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Affiliation(s)
- Damian M Herz
- Danish Research Center for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
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Rotation-independent representations for haptic movements. Sci Rep 2013; 3:2595. [PMID: 24005481 PMCID: PMC3763250 DOI: 10.1038/srep02595] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2012] [Accepted: 08/21/2013] [Indexed: 02/04/2023] Open
Abstract
The existence of a common mechanism for visual and haptic representations has been reported in object perception. In contrast, representations of movements might be more specific to modalities. Referring to the vertical axis is natural for visual representations whereas a fixed reference axis might be inappropriate for haptic movements and thus also inappropriate for its representations in the brain. The present study found that visual and haptic movement representations are processed independently. A psychophysical experiment examining mental rotation revealed the well-known effect of rotation angle for visual representations whereas no such effect was found for haptic representations. We also found no interference between processes for visual and haptic movements in an experiment where different stimuli were presented simultaneously through visual and haptic modalities. These results strongly suggest that (1) there are separate representations of visual and haptic movements, and (2) the haptic process has a rotation-independent representation.
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Abstract
Yawning is contagious. However, little research has been done to elucidate the neuronal representation of this phenomenon. Our study objective was to test the hypothesis that the human mirror neuron system (MNS) is activated by visually perceived yawning. We used functional magnetic resonance imaging to assess brain activity during contagious yawning (CY). Signal-dependent changes in blood oxygen levels were compared when subjects viewed videotapes of yawning faces as opposed to faces with a neutral expression. In response to yawning, subjects showed unilateral activation of their Brodmann's area 9 (BA 9) portion of the right inferior frontal gyrus, a region of the MNS. In this way, two individuals could share physiological and associated emotional states based on perceived motor patterns. This is one component of empathy (motor empathy) that underlies the development of cognitive empathy. The BA 9 is reportedly active in tasks requiring mentalizing abilities. Our results emphasize the connection between the MNS and higher cognitive empathic functions, including mentalizing. We conclude that CY is based on a functional substrate of empathy.
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Herz DM, Florin E, Christensen MS, Reck C, Barbe MT, Tscheuschler MK, Tittgemeyer M, Siebner HR, Timmermann L. Dopamine replacement modulates oscillatory coupling between premotor and motor cortical areas in Parkinson's disease. Cereb Cortex 2013; 24:2873-83. [PMID: 23733911 PMCID: PMC4193459 DOI: 10.1093/cercor/bht140] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Efficient neural communication between premotor and motor cortical areas is critical for manual motor control. Here, we used high-density electroencephalography to study cortical connectivity in patients with Parkinson's disease (PD) and age-matched healthy controls while they performed repetitive movements of the right index finger at maximal repetition rate. Multiple source beamformer analysis and dynamic causal modeling were used to assess oscillatory coupling between the lateral premotor cortex (lPM), supplementary motor area (SMA), and primary motor cortex (M1) in the contralateral hemisphere. Elderly healthy controls showed task-related modulation in connections from lPM to SMA and M1, mainly within the γ-band (>30 Hz). Nonmedicated PD patients also showed task-related γ-γ coupling from lPM to M1, but γ coupling from lPM to SMA was absent. Levodopa reinstated physiological γ-γ coupling from lPM to SMA and significantly strengthened coupling in the feedback connection from M1 to lPM expressed as β-β as well as θ-β coupling. Enhancement in cross-frequency θ-β coupling from M1 to lPM was correlated with levodopa-induced improvement in motor function. The results show that PD is associated with an altered neural communication between premotor and motor cortical areas, which can be modulated by dopamine replacement.
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Affiliation(s)
- Damian Marc Herz
- Department of Neurology, University Hospital Cologne, Cologne, Germany, Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Esther Florin
- Department of Neurology, University Hospital Cologne, Cologne, Germany, Cognitive Neurology Section, Institute of Neurosciences and Medicine (INM-3), Research Centre Juelich, Juelich, Germany, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Mark Schram Christensen
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, Department of Nutrition, Exercise and Sports, Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark and
| | - Christiane Reck
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Michael Thomas Barbe
- Department of Neurology, University Hospital Cologne, Cologne, Germany, Cognitive Neurology Section, Institute of Neurosciences and Medicine (INM-3), Research Centre Juelich, Juelich, Germany
| | | | - Marc Tittgemeyer
- Max Planck Institute for Neurological Research, Cologne, Germany
| | - Hartwig Roman Siebner
- Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Lars Timmermann
- Department of Neurology, University Hospital Cologne, Cologne, Germany
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Schrag AE, Mehta AR, Bhatia KP, Brown RJ, Frackowiak RSJ, Trimble MR, Ward NS, Rowe JB. The functional neuroimaging correlates of psychogenic versus organic dystonia. Brain 2013; 136:770-81. [PMID: 23436503 PMCID: PMC3580272 DOI: 10.1093/brain/awt008] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
The neurobiological basis of psychogenic movement disorders remains poorly understood and the management of these conditions difficult. Functional neuroimaging studies have provided some insight into the pathophysiology of disorders implicating particularly the prefrontal cortex, but there are no studies on psychogenic dystonia, and comparisons with findings in organic counterparts are rare. To understand the pathophysiology of these disorders better, we compared the similarities and differences in functional neuroimaging of patients with psychogenic dystonia and genetically determined dystonia, and tested hypotheses on the role of the prefrontal cortex in functional neurological disorders. Patients with psychogenic (n = 6) or organic (n = 5, DYT1 gene mutation positive) dystonia of the right leg, and matched healthy control subjects (n = 6) underwent positron emission tomography of regional cerebral blood flow. Participants were studied during rest, during fixed posturing of the right leg and during paced ankle movements. Continuous surface electromyography and footplate manometry monitored task performance. Averaging regional cerebral blood flow across all tasks, the organic dystonia group showed abnormal increases in the primary motor cortex and thalamus compared with controls, with decreases in the cerebellum. In contrast, the psychogenic dystonia group showed the opposite pattern, with abnormally increased blood flow in the cerebellum and basal ganglia, with decreases in the primary motor cortex. Comparing organic dystonia with psychogenic dystonia revealed significantly greater regional blood flow in the primary motor cortex, whereas psychogenic dystonia was associated with significantly greater blood flow in the cerebellum and basal ganglia (all P < 0.05, family-wise whole-brain corrected). Group × task interactions were also examined. During movement, compared with rest, there was abnormal activation in the right dorsolateral prefrontal cortex that was common to both organic and psychogenic dystonia groups (compared with control subjects, P < 0.05, family-wise small-volume correction). These data show a cortical–subcortical differentiation between organic and psychogenic dystonia in terms of regional blood flow, both at rest and during active motor tasks. The pathological prefrontal cortical activation was confirmed in, but was not specific to, psychogenic dystonia. This suggests that psychogenic and organic dystonia have different cortical and subcortical pathophysiology, while a derangement in mechanisms of motor attention may be a feature of both conditions.
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Affiliation(s)
- Anette E Schrag
- UCL Institute of Neurology, University College London, Royal Free campus, Clinical Neurosciences, Rowland Hill Street, London, NW3 2PF, UK.
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Cameron IGM, Brien DC, Links K, Robichaud S, Ryan JD, Munoz DP, Chow TW. Changes to saccade behaviors in Parkinson's disease following dancing and observation of dancing. Front Neurol 2013; 4:22. [PMID: 23483834 PMCID: PMC3593609 DOI: 10.3389/fneur.2013.00022] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2012] [Accepted: 02/14/2013] [Indexed: 11/30/2022] Open
Abstract
Background: The traditional view of Parkinson’s disease (PD) as a motor disorder only treated by dopaminergic medications is now shifting to include non-pharmacologic interventions. We have noticed that patients with PD obtain an immediate, short-lasting benefit to mobility by the end of a dance class, suggesting some mechanism by which dancing reduces bradykinetic symptoms. We have also found that patients with PD are unimpaired at initiating highly automatic eye movements to visual stimuli (pro-saccades) but are impaired at generating willful eye movements away from visual stimuli (anti-saccades). We hypothesized that the mechanisms by which a dance class improves movement initiation may generalize to the brain networks impacted in PD (frontal lobe and basal ganglia, BG), and thus could be assessed objectively by measuring eye movements, which rely on the same neural circuitry. Methods: Participants with PD performed pro- and anti-saccades before, and after, a dance class. “Before” and “after” saccade performance measurements were compared. These measurements were then contrasted with a control condition (observing a dance class in a video), and with older and younger adult populations, who rested for an hour between measurements. Results: We found an improvement in anti-saccade performance following the observation of dance (but not following dancing), but we found a detriment in pro-saccade performance following dancing. Conclusion: We suggest that observation of dance induced plasticity changes in frontal-BG networks that are important for executive control. Dancing, in contrast, increased voluntary movement signals that benefited mobility, but interfered with the automaticity of efficient pro-saccade execution.
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Affiliation(s)
- Ian G M Cameron
- Helen Wills Neuroscience Institute, University of California Berkeley Berkeley, CA, USA ; Centre for Neuroscience Studies, Queen's University Kingston, ON, Canada
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