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Leow LA, Bernheine L, Carroll TJ, Dux PE, Filmer HL. Dopamine Increases Accuracy and Lengthens Deliberation Time in Explicit Motor Skill Learning. eNeuro 2024; 11:ENEURO.0360-23.2023. [PMID: 38238069 PMCID: PMC10849023 DOI: 10.1523/eneuro.0360-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/23/2023] [Accepted: 11/28/2023] [Indexed: 01/23/2024] Open
Abstract
Although animal research implicates a central role for dopamine in motor skill learning, a direct causal link has yet to be established in neurotypical humans. Here, we tested if a pharmacological manipulation of dopamine alters motor learning, using a paradigm which engaged explicit, goal-directed strategies. Participants (27 females; 11 males; aged 18-29 years) first consumed either 100 mg of levodopa (n = 19), a dopamine precursor that increases dopamine availability, or placebo (n = 19). Then, during training, participants learnt the explicit strategy of aiming away from presented targets by instructed angles of varying sizes. Targets jumped mid-movement by the instructed aiming angle. Task success was thus contingent upon aiming accuracy and not speed. The effect of the dopamine manipulations on skill learning was assessed during training and after an overnight follow-up. Increasing dopamine availability at training improved aiming accuracy and lengthened reaction times, particularly for larger, more difficult aiming angles, both at training and, importantly, at follow-up, despite prominent session-by-session performance improvements in both accuracy and speed. Exogenous dopamine thus seems to result in a learnt, persistent propensity to better adhere to task goals. Results support the proposal that dopamine is important in engagement of instrumental motivation to optimize adherence to task goals, particularly when learning to execute goal-directed strategies in motor skill learning.
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Affiliation(s)
- Li-Ann Leow
- School of Psychology, The University of Queensland, St Lucia, 4072, Australia
- Centre for Sensorimotor Performance, School of Human Movement & Nutrition Sciences, St Lucia, 4067, Australia
| | - Lena Bernheine
- Centre for Sensorimotor Performance, School of Human Movement & Nutrition Sciences, St Lucia, 4067, Australia
- School of Sport Science Faculty of Sport Governance and Event Management, University of Bayreuth, 95447 Bayreuth, Germany
| | - Timothy J Carroll
- Centre for Sensorimotor Performance, School of Human Movement & Nutrition Sciences, St Lucia, 4067, Australia
| | - Paul E Dux
- School of Psychology, The University of Queensland, St Lucia, 4072, Australia
| | - Hannah L Filmer
- School of Psychology, The University of Queensland, St Lucia, 4072, Australia
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2
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Leow LA, Marcos A, Nielsen E, Sewell D, Ballard T, Dux PE, Filmer HL. Dopamine Alters the Effect of Brain Stimulation on Decision-Making. J Neurosci 2023; 43:6909-6919. [PMID: 37648451 PMCID: PMC10573748 DOI: 10.1523/jneurosci.1140-23.2023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 07/27/2023] [Accepted: 08/22/2023] [Indexed: 09/01/2023] Open
Abstract
Noninvasive brain stimulation techniques, such as transcranial direct current stimulation (tDCS), show promise in treating a range of psychiatric and neurologic conditions. However, optimization of such applications requires a better understanding of how tDCS alters cognition and behavior. Existing evidence implicates dopamine in tDCS alterations of brain activity and plasticity; however, there is as yet no causal evidence for a role of dopamine in tDCS effects on cognition and behavior. Here, in a preregistered, double-blinded study, we examined how pharmacologically manipulating dopamine altered the effect of tDCS on the speed-accuracy trade-off, which taps ubiquitous strategic operations. Cathodal tDCS was delivered over the left prefrontal cortex and the superior medial frontal cortex before participants (N = 62, 24 males, 38 females) completed a dot-motion task, making judgments on the direction of a field of moving dots under instructions to emphasize speed, accuracy, or both. We leveraged computational modeling to uncover how our interventions altered latent decisional processes driving the speed-accuracy trade-off. We show that dopamine in combination with tDCS (but not tDCS alone nor dopamine alone) not only impaired decision accuracy but also impaired discriminability, which suggests that these manipulations altered the encoding or representation of discriminative evidence. This is, to the best of our knowledge, the first direct evidence implicating dopamine in the way tDCS affects cognition and behavior.SIGNIFICANCE STATEMENT tDCS can improve cognitive and behavioral impairments in clinical conditions; however, a better understanding of its mechanisms is required to optimize future clinical applications. Here, using a pharmacological approach to manipulate brain dopamine levels in healthy adults, we demonstrate a role for dopamine in the effects of tDCS in the speed-accuracy trade-off, a strategic cognitive process ubiquitous in many contexts. In doing so, we provide direct evidence implicating dopamine in the way tDCS affects cognition and behavior.
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Affiliation(s)
- Li-Ann Leow
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - Anjeli Marcos
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - Esteban Nielsen
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - David Sewell
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - Timothy Ballard
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - Paul E Dux
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
| | - Hannah L Filmer
- School of Psychology, University of Queensland, St Lucia, Brisbane QLD 4072 Australia
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3
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Chakroun K, Wiehler A, Wagner B, Mathar D, Ganzer F, van Eimeren T, Sommer T, Peters J. Dopamine regulates decision thresholds in human reinforcement learning in males. Nat Commun 2023; 14:5369. [PMID: 37666865 PMCID: PMC10477234 DOI: 10.1038/s41467-023-41130-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 08/22/2023] [Indexed: 09/06/2023] Open
Abstract
Dopamine fundamentally contributes to reinforcement learning, but recent accounts also suggest a contribution to specific action selection mechanisms and the regulation of response vigour. Here, we examine dopaminergic mechanisms underlying human reinforcement learning and action selection via a combined pharmacological neuroimaging approach in male human volunteers (n = 31, within-subjects; Placebo, 150 mg of the dopamine precursor L-dopa, 2 mg of the D2 receptor antagonist Haloperidol). We found little credible evidence for previously reported beneficial effects of L-dopa vs. Haloperidol on learning from gains and altered neural prediction error signals, which may be partly due to differences experimental design and/or drug dosages. Reinforcement learning drift diffusion models account for learning-related changes in accuracy and response times, and reveal consistent decision threshold reductions under both drugs, in line with the idea that lower dosages of D2 receptor antagonists increase striatal DA release via an autoreceptor-mediated feedback mechanism. These results are in line with the idea that dopamine regulates decision thresholds during reinforcement learning, and may help to bridge action selection and response vigor accounts of dopamine.
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Affiliation(s)
- Karima Chakroun
- Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Antonius Wiehler
- Motivation, Brain and Behavior Lab, Paris Brain Institute (ICM), Pitié-Salpêtrière Hospital, Paris, France
| | - Ben Wagner
- Chair of Cognitive Computational Neuroscience, Technical University Dresden, Dresden, Germany
| | - David Mathar
- Department of Psychology, Biological Psychology, University of Cologne, Cologne, Germany
| | - Florian Ganzer
- Integrated Psychiatry Winterthur, Winterthur, Switzerland
| | - Thilo van Eimeren
- Multimodal Neuroimaging Group, Department of Nuclear Medicine, University Medical Center Cologne, Cologne, Germany
| | - Tobias Sommer
- Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Peters
- Institute for Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
- Department of Psychology, Biological Psychology, University of Cologne, Cologne, Germany.
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Smith PL. "Reliable organisms from unreliable components" revisited: the linear drift, linear infinitesimal variance model of decision making. Psychon Bull Rev 2023; 30:1323-1359. [PMID: 36720804 PMCID: PMC10482797 DOI: 10.3758/s13423-022-02237-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2022] [Indexed: 02/02/2023]
Abstract
Diffusion models of decision making, in which successive samples of noisy evidence are accumulated to decision criteria, provide a theoretical solution to von Neumann's (1956) problem of how to increase the reliability of neural computation in the presence of noise. I introduce and evaluate a new neurally-inspired dual diffusion model, the linear drift, linear infinitesimal variance (LDLIV) model, which embodies three features often thought to characterize neural mechanisms of decision making. The accumulating evidence is intrinsically positively-valued, saturates at high intensities, and is accumulated for each alternative separately. I present explicit integral-equation predictions for the response time distribution and choice probabilities for the LDLIV model and compare its performance on two benchmark sets of data to three other models: the standard diffusion model and two dual diffusion model composed of racing Wiener processes, one between absorbing and reflecting boundaries and one with absorbing boundaries only. The LDLIV model and the standard diffusion model performed similarly to one another, although the standard diffusion model is more parsimonious, and both performed appreciably better than the other two dual diffusion models. I argue that accumulation of noisy evidence by a diffusion process and drift rate variability are both expressions of how the cognitive system solves von Neumann's problem, by aggregating noisy representations over time and over elements of a neural population. I also argue that models that do not solve von Neumann's problem do not address the main theoretical question that historically motivated research in this area.
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Affiliation(s)
- Philip L Smith
- Melbourne School of Psychological Sciences, The University of Melbourne, Vic., Melbourne, 3010, Australia.
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5
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Langer A, Lucke-Paulig L, Gassner L, Krüger R, Weiss D, Gharabaghi A, Zach H, Maetzler W, Hobert MA. Additive Effect of Dopaminergic Medication on Gait Under Single and Dual-Tasking Is Greater Than of Deep Brain Stimulation in Advanced Parkinson Disease With Long-Duration Deep Brain Stimulation. Neuromodulation 2023; 26:364-373. [PMID: 35227581 DOI: 10.1016/j.neurom.2022.01.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 12/10/2021] [Accepted: 01/04/2022] [Indexed: 02/07/2023]
Abstract
INTRODUCTION Patients with advanced Parkinson disease (PD) often experience problems with mobility, including walking under single- (ST) and dual-tasking (DT) conditions. The effects of deep brain stimulation in the subthalamic nucleus (DBS) versus dopaminergic medication (Med) on these conditions are not well investigated. MATERIALS AND METHODS We used two ST and two DT-gait paradigms to evaluate the effect of DBS and dopaminergic medication on gait parameters in 14 PD patients (mean age 66 ± 8 years) under DBSOFF/MedON, DBSON/MedOFF, and DBSON/MedON conditions. They performed standardized 20-meter walks with convenient and fast speed. To test DT capabilities, they performed a checking-boxes and a subtraction task during fast-paced walking. Quantitative gait analysis was performed using a tri-axial accelerometer (Dynaport, McRoberts, The Netherlands). Dual-task costs (DTC) of gait parameters and secondary task performance were compared intraindividually between DBSOFF/MedON vs DBSON/MedON, and DBSON/MedOFF vs DBSON/MedON to estimate responsiveness. RESULTS Dopaminergic medication increased gait speed and cadence at convenient speed. It increased cadence and decreased number of steps at fast speed, and improved DTC of cadence during the checking boxes and DTC of cadence and number of steps during the subtraction tasks. DBS only improved DTC of cadence during the checking boxes and DTC of gait speed during the subtraction task. CONCLUSION Dopaminergic medication showed larger additional effects on temporal gait parameters under ST and DT conditions in advanced PD than DBS. These results, after confirmation in independent studies, should be considered in the medical management of advanced PD patients with gait and DT deficits.
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Affiliation(s)
- Agnes Langer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Lara Lucke-Paulig
- Center for Neurology, Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Germany; Department of Endocrinology, Diabetology and Geriatrics, Stuttgart General Hospital, Bad Cannstatt, Germany
| | - Lucia Gassner
- Department of Sport Physiology, Institute of Sports Sciences, University of Vienna, Vienna, Austria; Royal Melbourne Institute of Technology, Melbourne, Australia; HTA Austria - Austrian Institute for Health Technology Assessment GmbH, Vienna, Austria
| | - Rejko Krüger
- Center for Neurology, Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Germany; Luxembourg Institute of Health, Strassen, Luxembourg; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg; Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg
| | - Daniel Weiss
- Center for Neurology, Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Germany
| | - Alireza Gharabaghi
- Institute for Neuromodulation and Neurotechnology, Department of Neurosurgery and Neurotechnology, University Hospital Tuebingen, University of Tuebingen, Tuebingen, Germany
| | - Heidemarie Zach
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Walter Maetzler
- Center for Neurology, Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Germany; Department of Neurology, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University Kiel, Kiel, Germany
| | - Markus A Hobert
- Center for Neurology, Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tuebingen, Tuebingen, Germany; Department of Neurology, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-University Kiel, Kiel, Germany.
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6
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Dynamic control of decision and movement speed in the human basal ganglia. Nat Commun 2022; 13:7530. [PMID: 36476581 PMCID: PMC9729212 DOI: 10.1038/s41467-022-35121-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/17/2022] [Indexed: 12/12/2022] Open
Abstract
To optimally adjust our behavior to changing environments we need to both adjust the speed of our decisions and movements. Yet little is known about the extent to which these processes are controlled by common or separate mechanisms. Furthermore, while previous evidence from computational models and empirical studies suggests that the basal ganglia play an important role during adjustments of decision-making, it remains unclear how this is implemented. Leveraging the opportunity to directly access the subthalamic nucleus of the basal ganglia in humans undergoing deep brain stimulation surgery, we here combine invasive electrophysiological recordings, electrical stimulation and computational modelling of perceptual decision-making. We demonstrate that, while similarities between subthalamic control of decision- and movement speed exist, the causal contribution of the subthalamic nucleus to these processes can be disentangled. Our results show that the basal ganglia independently control the speed of decisions and movement for each hemisphere during adaptive behavior.
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Cai W, Young CB, Yuan R, Lee B, Ryman S, Kim J, Yang L, Henderson VW, Poston KL, Menon V. Dopaminergic medication normalizes aberrant cognitive control circuit signalling in Parkinson's disease. Brain 2022; 145:4042-4055. [PMID: 35357463 PMCID: PMC10200291 DOI: 10.1093/brain/awac007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Revised: 12/03/2021] [Accepted: 12/10/2021] [Indexed: 08/21/2023] Open
Abstract
Dopaminergic medication is widely used to alleviate motor symptoms of Parkinson's disease, but these medications also impact cognition with significant variability across patients. It is hypothesized that dopaminergic medication impacts cognition and working memory in Parkinson's disease by modulating frontoparietal-basal ganglia cognitive control circuits, but little is known about the underlying causal signalling mechanisms and their relation to individual differences in response to dopaminergic medication. Here we use a novel state-space computational model with ultra-fast (490 ms resolution) functional MRI to investigate dynamic causal signalling in frontoparietal-basal ganglia circuits associated with working memory in 44 Parkinson's disease patients ON and OFF dopaminergic medication, as well as matched 36 healthy controls. Our analysis revealed aberrant causal signalling in frontoparietal-basal ganglia circuits in Parkinson's disease patients OFF medication. Importantly, aberrant signalling was normalized by dopaminergic medication and a novel quantitative distance measure predicted individual differences in cognitive change associated with medication in Parkinson's disease patients. These findings were specific to causal signalling measures, as no such effects were detected with conventional non-causal connectivity measures. Our analysis also identified a specific frontoparietal causal signalling pathway from right middle frontal gyrus to right posterior parietal cortex that is impaired in Parkinson's disease. Unlike in healthy controls, the strength of causal interactions in this pathway did not increase with working memory load and the strength of load-dependent causal weights was not related to individual differences in working memory task performance in Parkinson's disease patients OFF medication. However, dopaminergic medication in Parkinson's disease patients reinstated the relation with working memory performance. Our findings provide new insights into aberrant causal brain circuit dynamics during working memory and identify mechanisms by which dopaminergic medication normalizes cognitive control circuits.
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Affiliation(s)
- Weidong Cai
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Christina B Young
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Rui Yuan
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Byeongwook Lee
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Sephira Ryman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jeehyun Kim
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Laurice Yang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Victor W Henderson
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kathleen L Poston
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
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8
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Gupta A, Bansal R, Alashwal H, Kacar AS, Balci F, Moustafa AA. Neural Substrates of the Drift-Diffusion Model in Brain Disorders. Front Comput Neurosci 2022; 15:678232. [PMID: 35069160 PMCID: PMC8776710 DOI: 10.3389/fncom.2021.678232] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/25/2021] [Indexed: 12/01/2022] Open
Abstract
Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parameters on several brain areas, including the cortex and basal ganglia. Furthermore, we discuss the changes in DDM parameters due to structural and functional impairments in several clinical disorders, including Parkinson's disease, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorders, Obsessive-Compulsive Disorder (OCD), and schizophrenia. This review thus uses DDM to provide a theoretical understanding of different brain disorders.
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Affiliation(s)
- Ankur Gupta
- CNRS UMR 5293, Institut des Maladies Neurodégénératives, Université de Bordeaux, Bordeaux, France
| | - Rohini Bansal
- Department of Medical Neurobiology, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hany Alashwal
- College of Information Technology, United Arab Emirates University, Al-Ain, United Arab Emirates
- *Correspondence: Hany Alashwal
| | - Anil Safak Kacar
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Fuat Balci
- Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Ahmed A. Moustafa
- School of Psychology & Marcs Institute for Brain and Behaviour, Western Sydney University, Sydney, NSW, Australia
- School of Psychology, Faculty of Society and Design, Bond University, Robina, QLD, Australia
- Faculty of Health Sciences, Department of Human Anatomy and Physiology, University of Johannesburg, Johannesburg, South Africa
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9
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Abstract
Evidence accumulation models like the diffusion model are increasingly used by researchers to identify the contributions of sensory and decisional factors to the speed and accuracy of decision-making. Drift rates, decision criteria, and nondecision times estimated from such models provide meaningful estimates of the quality of evidence in the stimulus, the bias and caution in the decision process, and the duration of nondecision processes. Recently, Dutilh et al. (Psychonomic Bulletin & Review 26, 1051–1069, 2019) carried out a large-scale, blinded validation study of decision models using the random dot motion (RDM) task. They found that the parameters of the diffusion model were generally well recovered, but there was a pervasive failure of selective influence, such that manipulations of evidence quality, decision bias, and caution also affected estimated nondecision times. This failure casts doubt on the psychometric validity of such estimates. Here we argue that the RDM task has unusual perceptual characteristics that may be better described by a model in which drift and diffusion rates increase over time rather than turn on abruptly. We reanalyze the Dutilh et al. data using models with abrupt and continuous-onset drift and diffusion rates and find that the continuous-onset model provides a better overall fit and more meaningful parameter estimates, which accord with the known psychophysical properties of the RDM task. We argue that further selective influence studies that fail to take into account the visual properties of the evidence entering the decision process are likely to be unproductive.
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10
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Meigal AY, Tretjakova OG, Gerasimova-Meigal LI, Sayenko IV. Program of Seven 45-min Dry Immersion Sessions Improves Choice Reaction Time in Parkinson's Disease. Front Physiol 2021; 11:621198. [PMID: 33519524 PMCID: PMC7841462 DOI: 10.3389/fphys.2020.621198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Accepted: 12/11/2020] [Indexed: 01/26/2023] Open
Abstract
The study hypothesis held that in subjects with Parkinson's disease (PD), the reaction time (RT) tests of the higher cognition demand would have more readily improved under the program of analog microgravity (μG) modeled with "dry" immersion (DI). To test this hypothesis, 10 subjects with PD have passed through a program of seven DI sessions (each 45 min long) within 25-30 days, with overall μG dose 5 1/4 h. Five patients were enrolled as controls, without DI (noDI group). Simple RT (SRT), disjunctive RT (DRT), and choice RT (CRT) were assessed in four study points: before the DI program (preDI), 1 day after the DI program (postDI), 2 weeks after the DI program (DI2w), and 2 months after the DI program (DI2m). The motor time (MT) was assessed with the tapping test (TT). Additionally, signal detection time (SDT) and central processing time (CPT) were extracted from the data. Before the program of DI, the RT tests are in accordance with their cognition load: SRT (284 ± 37 ms), DRT (338 ± 38 ms), and CRT (540 ± 156 ms). In accordance with the hypothesis, CRT and DRT have improved under DI by, respectively, 20 and 8% at the study point "DI2w," whereas SRT, SDT, and MT did not change (<5% in the preDI point, p > 0.05). Thus, the program of DI provoked RT improvement specifically in the cognitively loaded tasks, in a "dose of cognition-reaction" manner. The accuracy of reaction has changed in none of the RT tests. The neurophysiologic, hormonal/neuroendocrine, behavioral, neural plasticity, and acclimation mechanisms may have contributed to such a result.
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Affiliation(s)
- Alexander Yu Meigal
- Laboratory of Novel Methods in Physiology, Institute of Higher Biomedical Technologies, Petrozavodsk State University, Petrozavodsk, Russia
| | - Olesya G Tretjakova
- Laboratory of Novel Methods in Physiology, Institute of Higher Biomedical Technologies, Petrozavodsk State University, Petrozavodsk, Russia
| | - Liudmila I Gerasimova-Meigal
- Laboratory of Novel Methods in Physiology, Institute of Higher Biomedical Technologies, Petrozavodsk State University, Petrozavodsk, Russia
| | - Irina V Sayenko
- State Scientific Center, "Institute of Biomedical Problems," Russian Academy of Sciences, Moscow, Russia
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11
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Bang D, Kishida KT, Lohrenz T, White JP, Laxton AW, Tatter SB, Fleming SM, Montague PR. Sub-second Dopamine and Serotonin Signaling in Human Striatum during Perceptual Decision-Making. Neuron 2020; 108:999-1010.e6. [PMID: 33049201 PMCID: PMC7736619 DOI: 10.1016/j.neuron.2020.09.015] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/30/2020] [Accepted: 09/10/2020] [Indexed: 01/16/2023]
Abstract
Recent animal research indicates that dopamine and serotonin, neuromodulators traditionally linked to appetitive and aversive processes, are also involved in sensory inference and decisions based on such inference. We tested this hypothesis in humans by monitoring sub-second striatal dopamine and serotonin signaling during a visual motion discrimination task that separates sensory uncertainty from decision difficulty in a factorial design. Caudate nucleus recordings (n = 4) revealed multi-scale encoding: in three participants, serotonin tracked sensory uncertainty, and, in one participant, both dopamine and serotonin tracked deviations from expected trial transitions within our factorial design. Putamen recordings (n = 1) supported a cognition-action separation between caudate nucleus and putamen—a striatal sub-division unique to primates—with both dopamine and serotonin tracking decision times. These first-of-their-kind observations in the human brain reveal a role for sub-second dopamine and serotonin signaling in non-reward-based aspects of cognition and action. Dopamine and serotonin are measured in human striatum during awake decision-making Serotonin tracks sensory uncertainty in caudate nucleus Dopamine and serotonin track sensory statistics in caudate nucleus Dopamine and serotonin track decision times in putamen
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Affiliation(s)
- Dan Bang
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Department of Experimental Psychology, University of Oxford, Oxford OX2 6GG, UK.
| | - Kenneth T Kishida
- Department of Physiology and Pharmacology, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA; Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
| | - Terry Lohrenz
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Jason P White
- Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA
| | - Adrian W Laxton
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen B Tatter
- Department of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Stephen M Fleming
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Department of Experimental Psychology, University College London, London WC1H 0AP, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B 5EH, UK
| | - P Read Montague
- Wellcome Centre for Human Neuroimaging, University College London, London WC1N 3AR, UK; Fralin Biomedical Research Institute at VTC, Virginia Tech, Roanoke, VA 24016, USA; Department of Physics, Virginia Tech, Blacksburg, VA 24061, USA
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12
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Feasibility and initial validation of 'HD-Mobile', a smartphone application for remote self-administration of performance-based cognitive measures in Huntington's disease. J Neurol 2020; 268:590-601. [PMID: 32880724 DOI: 10.1007/s00415-020-10169-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/29/2020] [Accepted: 08/13/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Smartphone-based cognitive assessment measures allow efficient, rapid, and convenient collection of cognitive datasets. Establishment of feasibility and validity is essential for the widespread use of this approach. We describe a novel smartphone application (HD-Mobile) that includes three performance-based cognitive tasks with four key outcome measures, for use with Huntington's disease (HD) samples. We describe known groups and concurrent validity, test-retest reliability, sensitivity, and feasibility properties of the tasks. METHODS Forty-two HD CAG-expanded participants (20 manifest, 22 premanifest) and 28 healthy controls completed HD-Mobile cognitive tasks three times across an 8-day period, on days 1, 4, and 8. A subsample of participants had pen-and-paper cognitive task data available from their most recent assessment from their participation in a separate observational longitudinal study, Enroll-HD. RESULTS Manifest-HD participants performed worse than healthy controls for three of four HD-Mobile cognitive measures, and worse than premanifest-HD participants for two of four measures. We found robust test-retest reliability for manifest-HD participants (ICC = 0.71-0.96) and with some exceptions, in premanifest-HD (ICC = 0.52-0.96) and healthy controls (0.54-0.96). Correlations between HD-Mobile and selected Enroll-HD cognitive tasks were mostly medium to strong (r = 0.36-0.68) as were correlations between HD-Mobile cognitive tasks and measures of expected disease progression and motor symptoms for the HD CAG-expanded participants (r = - 0.34 to - 0.54). CONCLUSIONS Results indicated robust known-groups, test-retest, concurrent validity, and sensitivity of HD-Mobile cognitive tasks. The study demonstrates the feasibility and utility of HD-Mobile for conducting convenient, frequent, and potentially ongoing assessment of HD samples without the need for in-person assessment.
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Ropinirole, a dopamine agonist with high D 3 affinity, reduces proactive inhibition: A double-blind, placebo-controlled study in healthy adults. Neuropharmacology 2020; 179:108278. [PMID: 32827517 PMCID: PMC7575901 DOI: 10.1016/j.neuropharm.2020.108278] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 07/26/2020] [Accepted: 08/17/2020] [Indexed: 11/23/2022]
Abstract
Response inhibition describes the cognitive processes mediating the suppression of unwanted actions. A network involving the basal ganglia mediates two forms of response inhibition: reactive and proactive inhibition. Reactive inhibition serves to abruptly stop motor activity, whereas proactive inhibition is goal-orientated and results in slowing of motor activity in anticipation of stopping. Due to its impairment in several psychiatric disorders, the neurochemistry of response inhibition has become of recent interest. Dopamine has been posed as a candidate mediator of response inhibition due to its role in functioning of the basal ganglia and the observation that patients with Parkinson's disease on dopamine agonists develop impulse control disorders. Although the effects of dopamine on reactive inhibition have been studied, substantial literature on the role of dopamine on proactive inhibition is lacking. To fill this gap, we devised a double-blind, placebo-controlled study of 1 mg ropinirole (a dopamine agonist) on response inhibition in healthy volunteers. We found that whilst reactive inhibition was unchanged, proactive inhibition was impaired when participants were on ropinirole relative to when on placebo. To investigate how ropinirole mediated this effect on proactive inhibition, we used hierarchical drift-diffusion modelling. We found that ropinirole impaired the ability to raise the decision threshold when proactive inhibition was called upon. Our results provide novel evidence that an acute dose of ropinirole selectively reduces proactive inhibition in healthy participants. These results may help explain how ropinirole induces impulse control disorders in susceptible patients with Parkinson's disease. Proactive but not reactive inhibition is impaired under the influence of ropinirole vs placebo. Ropinirole impairs the ability to raise the decision threshold when proactive inhibition is called upon. We provide novel evidence that an acute dose of ropinirole selectively reduces proactive inhibition in healthy participants.
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Evidence accumulation during perceptual decisions in humans varies as a function of dorsal frontoparietal organization. Nat Hum Behav 2020; 4:844-855. [PMID: 32313233 DOI: 10.1038/s41562-020-0863-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Accepted: 03/16/2020] [Indexed: 11/08/2022]
Abstract
Animal neurophysiological studies have identified neural signals within dorsal frontoparietal areas that trace a perceptual decision by accumulating sensory evidence over time and trigger action upon reaching a threshold. Although analogous accumulation-to-bound signals are identifiable on extracranial human electroencephalography, their cortical origins remain unknown. Here neural metrics of human evidence accumulation, predictive of the speed of perceptual reports, were isolated using electroencephalography and related to dorsal frontoparietal network (dFPN) connectivity using diffusion and resting-state functional magnetic resonance imaging. The build-up rate of evidence accumulation mediated the relationship between the white matter macrostructure of dFPN pathways and the efficiency of perceptual reports. This association between steeper build-up rates of evidence accumulation and the dFPN was recapitulated in the resting-state networks. Stronger connectivity between dFPN regions is thus associated with faster evidence accumulation and speeded perceptual decisions. Our findings identify an integrated network for perceptual decisions that may be targeted for neurorehabilitation in cognitive disorders.
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15
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Fundarò C, Cavalieri C, Pinna GD, Giardini A, Mancini F, Casale R. Upper Limb Interactive Weightless Technology-Aided Intervention and Assessment Picks Out Motor Skills Improvement in Parkinson's Disease: A Pilot Study. Front Neurol 2020; 11:40. [PMID: 32117009 PMCID: PMC7033477 DOI: 10.3389/fneur.2020.00040] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 01/13/2020] [Indexed: 11/18/2022] Open
Abstract
Background: In Parkinson's disease, reaching movements are conditioned by motor planning and execution deficiency. Recently, rehabilitation, aided by high technological devices, was employed for Parkinson's disease. Objective: We aimed to (1) investigate the changes in the upper limb motor performances in a sample of a patient with Parkinson's disease after a weightless training, with a passive exoskeleton, in an augmented-feedback environment; (2) highlight differences by motor parameters (performance, speed, and movement accuracy) and by type of movement (simple or complex); and (3) evaluate movement improvements by UPDRS II–III. Methods: Observational pilot study. Twenty right-handed patients with Parkinson's disease, Hohen and Yahr 2, Mini Mental State Examination ≥24 were evaluated. All patients underwent 5 day/week sessions for 4 weeks, 30 min for each arm; the training was performed with 12 exercises (single and multi-joints, horizontal and vertical movements). All the patients were assessed by UPDRS II–III and the evaluation tests provided by the device's software: a simple movement, the vertical capture, and a complex movement, the horizontal capture. For each test, we analyzed reached target percentage, movement execution time, and accuracy. Results: After training, a significant improvement of accuracy and speed for simple movement on the dominant arm, of reached targets and speed for complex movement on both sides were shown. UPDRS II and III improved significantly after training. Conclusions: In our study, a motor training aided by a high technological device improves motor parameters and highlights differences between the type of movement (simple or complex) and movement parameters (speed and accuracy) in a sample of patients with Parkinson's disease.
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Affiliation(s)
- Cira Fundarò
- Neurophysiopathology Unit, Istituti Clinici Scientifici Maugeri, IRCSS, Montescano, Italy
| | - Carlo Cavalieri
- Neuromotory Rehabilitation Unit 1, Istituti Clinici Scientifici Maugeri, IRCSS, Montescano, Italy
| | - Gian Domenico Pinna
- Department of Biomedical Engineering, Istituti Clinici Scientifici Maugeri, IRCSS, Montescano, Italy
| | - Anna Giardini
- Psychology Unit, Istituti Clinici Scientifici Maugeri, IRCSS, Montescano, Italy
| | - Francesca Mancini
- U. O. Neurologia-Stroke Unit e Laboratorio di Neuroscienze, Istituto Auxologico, IRCCS, Milan, Italy
| | - Roberto Casale
- OPUSMedica PC&R, Persons, Care and Research, Piacenza, Italy
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Buelow MT, Jungers MK, Chadwick KR. Manipulating the decision making process: Influencing a “gut” reaction. J Clin Exp Neuropsychol 2019; 41:1097-1113. [DOI: 10.1080/13803395.2019.1662374] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Melissa T. Buelow
- Department of Psychology, The Ohio State University, Newark, OH, USA
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17
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Gómez-González J, Martín-Casas P, Cano-de-la-Cuerda R. Effects of auditory cues on gait initiation and turning in patients with Parkinson's disease. NEUROLOGÍA (ENGLISH EDITION) 2019. [DOI: 10.1016/j.nrleng.2018.10.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
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18
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Gómez-González J, Martín-Casas P, Cano-de-la-Cuerda R. Efectos de los estímulos auditivos en la fase de iniciación de la marcha y de giro en pacientes con enfermedad de Parkinson. Neurologia 2019; 34:396-407. [DOI: 10.1016/j.nrl.2016.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Revised: 10/05/2016] [Accepted: 10/13/2016] [Indexed: 10/20/2022] Open
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19
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Dopamine substitution alters effective connectivity of cortical prefrontal, premotor, and motor regions during complex bimanual finger movements in Parkinson's disease. Neuroimage 2019; 190:118-132. [DOI: 10.1016/j.neuroimage.2018.04.030] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 03/23/2018] [Accepted: 04/12/2018] [Indexed: 01/31/2023] Open
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20
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Atkinson-Clement C, Cavazzini É, Zénon A, Witjas T, Fluchère F, Azulay JP, Baunez C, Eusebio A. Effects of subthalamic nucleus stimulation and levodopa on decision-making in Parkinson's disease. Mov Disord 2019; 34:377-385. [PMID: 30681186 DOI: 10.1002/mds.27625] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2018] [Revised: 10/26/2018] [Accepted: 11/30/2018] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Parkinson's disease (PD) is frequently associated with behavioral disorders, particularly within the spectrum of motivated behaviors such as apathy or impulsivity. Both pharmacological and neurosurgical treatments have an impact on these impairments. However, there still is controversy as to whether subthalamic nucleus deep brain stimulation (STN-DBS) can cause or reduce impulsive behaviors. OBJECTIVES We aimed to identify the influence of functional surgery on decision-making processes in PD. METHODS We studied 13 PD patients and 13 healthy controls. The experimental task involved squeezing a dynamometer with variable force to obtain rewards of various values under four conditions: without treatment, with l-dopa or subthalamic stimulation alone, and with both l-dopa and subthalamic stimulation. Statistical analyses consisted of generalized linear mixed models including treatment condition, reward value, level of effort, and their interactions. We analyzed acceptance rate (the percentage of accepted trials), decision time, and force applied. RESULTS Comparatively to controls, patients without treatment exhibited lower acceptance rate and force applied. Patients under l-dopa alone did not exhibit increased acceptance rate. With subthalamic stimulation, either with or without added l-dopa, all measures were improved so that patients' behaviors were undistinguishable from healthy controls'. CONCLUSIONS Our study shows that l-dopa administration does not fully restore cost-benefit decision-making processes, whereas STN-DBS fully normalizes patients' behaviors. These findings suggest that dopamine is partly involved in cost-benefit valuation, and that STN-DBS can have a beneficial effect on motivated behaviors in PD and may improve certain forms of impulsive behaviors. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Cyril Atkinson-Clement
- Aix Marseille Université, CNRS, LPL, Aix-en-Provence, France.,Aix Marseille Université, CNRS, INT, Inst Neurosci Timone, Marseille, France
| | | | - Alexandre Zénon
- Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium.,INCIA, Université de Bordeaux, CNRS UMR5287, Bordeaux, France
| | - Tatiana Witjas
- Aix Marseille Université, CNRS, INT, Inst Neurosci Timone, Marseille, France.,Aix Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France
| | - Frédérique Fluchère
- Aix Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France.,Aix Marseille Université, CNRS, LNC, Marseille, France
| | - Jean-Philippe Azulay
- Aix Marseille Université, CNRS, INT, Inst Neurosci Timone, Marseille, France.,Aix Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France
| | - Christelle Baunez
- Aix Marseille Université, CNRS, INT, Inst Neurosci Timone, Marseille, France
| | - Alexandre Eusebio
- Aix Marseille Université, CNRS, INT, Inst Neurosci Timone, Marseille, France.,Aix Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France
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21
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Kjær SW, Damholdt MF, Callesen MB. A systematic review of decision-making impairments in Parkinson’s Disease: Dopaminergic medication and methodological variability. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.baga.2018.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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22
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O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci 2018; 41:838-852. [PMID: 30007746 PMCID: PMC6215147 DOI: 10.1016/j.tins.2018.06.005] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Revised: 06/12/2018] [Accepted: 06/13/2018] [Indexed: 12/22/2022]
Abstract
Sequential sampling models have provided a dominant theoretical framework guiding computational and neurophysiological investigations of perceptual decision-making. While these models share the basic principle that decisions are formed by accumulating sensory evidence to a bound, they come in many forms that can make similar predictions of choice behaviour despite invoking fundamentally different mechanisms. The identification of neural signals that reflect some of the core computations underpinning decision formation offers new avenues for empirically testing and refining key model assumptions. Here, we highlight recent efforts to explore these avenues and, in so doing, consider the conceptual and methodological challenges that arise when seeking to infer decision computations from complex neural data.
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Affiliation(s)
- Redmond G O'Connell
- Trinity College Institute of Neuroscience and School of Psychology, Trinity College Dublin, Ireland.
| | - Michael N Shadlen
- Howard Hughes Medical Institute and Department of Neuroscience, Columbia University, New York, NY 10032, USA; Zuckerman Mind Brain Behaviour Institute and Kavli Institute for Brain Science, Columbia University, New York, NY 10032, USA
| | - KongFatt Wong-Lin
- Intelligent Systems Research Centre, University of Ulster, Magee Campus, Northland Road, Derry, BT48 7JL, UK
| | - Simon P Kelly
- School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland.
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23
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Fernandez L, Huys R, Issartel J, Azulay JP, Eusebio A. Movement Speed-Accuracy Trade-Off in Parkinson's Disease. Front Neurol 2018; 9:897. [PMID: 30405521 PMCID: PMC6208126 DOI: 10.3389/fneur.2018.00897] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Accepted: 10/03/2018] [Indexed: 11/24/2022] Open
Abstract
Patients with Parkinson's disease (PD) often have difficulties generating rhythmic movements, and also difficulties on movement adjustments to accuracy constraints. In the reciprocal aiming task, maintaining a high accuracy comes with the cost of diminished movement speed, whereas increasing movement speed disrupts end-point accuracy, a phenomenon well known as the speed-accuracy trade-off. The aim of this study was to examine how PD impacts speed-accuracy trade-off during rhythmic aiming movements by studying the structural kinematic movement organization and to determine the influence of dopamine replacement therapy on continuous movement speed and accuracy. Eighteen patients with advanced idiopathic Parkinson's disease performed a reciprocal aiming task, where the difficulty of the task was manipulated through target width. All patients were tested in two different sessions: ON-medication and OFF-medication state. A control group composed of healthy age-matched participants was also included in the study. The following variables were used for the analyses: Movement time, Error rate, effective target width, and Performance Index. Percentage of acceleration time and percentage of non-linearity were completed with kinematics patterns description using Rayleigh-Duffing model. Both groups traded off speed against accuracy as the constraints pertaining to the latter increased. The trade-off was more pronounced with the PD patients. Dopamine therapy allowed the PD patients to move faster, but at the cost of movement accuracy. Surprisingly, the structural kinematic organization did not differ across group nor across medication condition. These results suggest that PD patients, when involved in a reciprocal aiming task, are able to produce rhythmic movements. PD patients' overall slowing down seems to reflect a global adaptation to the disease in the absence of a structurally altered kinematic organization.
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Affiliation(s)
| | - Raoul Huys
- Université de Toulouse, UMR 5549 CERCO (Centre de Recherche Cerveau et Cognition), UPS, CNRS, Toulouse, France
| | - Johann Issartel
- Multisensory Motor Learning Lab, School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Jean-Philippe Azulay
- Aix-Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France
| | - Alexandre Eusebio
- Aix-Marseille Université, APHM, CHU Timone, Department of Neurology and Movement Disorders, Marseille, France.,Aix-Marseille Université, CNRS, UMR 7289, Institut de Neurosciences de la Timone, Marseille, France
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24
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Mechanisms Underlying Decision-Making as Revealed by Deep-Brain Stimulation in Patients with Parkinson's Disease. Curr Biol 2018; 28:1169-1178.e6. [PMID: 29606416 PMCID: PMC5912902 DOI: 10.1016/j.cub.2018.02.057] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 01/30/2018] [Accepted: 02/21/2018] [Indexed: 01/10/2023]
Abstract
To optimally balance opposing demands of speed and accuracy during decision-making, we must flexibly adapt how much evidence we require before making a choice. Such adjustments in decision thresholds have been linked to the subthalamic nucleus (STN), and therapeutic STN deep-brain stimulation (DBS) has been shown to interfere with this function. Here, we performed continuous as well as closed-loop DBS of the STN while Parkinson’s disease patients performed a perceptual decision-making task. Closed-loop STN DBS allowed temporally patterned STN stimulation and simultaneous recordings of STN activity. This revealed that DBS only affected patients’ ability to adjust decision thresholds if applied in a specific temporally confined time window during deliberation. Only stimulation in that window diminished the normal slowing of response times that occurred on difficult trials when DBS was turned off. Furthermore, DBS eliminated a relative, time-specific increase in STN beta oscillations and compromised its functional relationship with trial-by-trial adjustments in decision thresholds. Together, these results provide causal evidence that the STN is involved in adjusting decision thresholds in distinct, time-limited processing windows during deliberation. We performed temporally patterned stimulation of the subthalamic nucleus in humans During stimulation, Parkinson’s patients performed a perceptual decision-making task Stimulation effects on behavior were confined to a short window during deliberation Here, stimulation affected changes in decision thresholds during difficult decisions
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25
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Perugini A, Basso MA. Perceptual decisions based on previously learned information are independent of dopaminergic tone. J Neurophysiol 2018; 119:849-861. [PMID: 29167328 DOI: 10.1152/jn.00761.2017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Both cognitive and motor symptoms in people with Parkinson's disease (PD) arise from either too little or too much dopamine (DA). Akinesia stems from DA neuronal cell loss, and dyskinesia often stems from an overdose of DA medication. Cognitive behaviors typically associated with frontal cortical function, such as working memory and task switching, are also affected by too little or too much DA in PD. Whether motor and cognitive circuits overlap in PD is unknown. In this article, we show that whereas motor performance improves in people with PD when on dopaminergic medication compared with off medication, perceptual decision-making based on previously learned information (priors) remains impaired whether on or off medications. To rule out effects of long-term DA treatment and dopaminergic neuronal loss such as occur in PD, we also tested a group of people with dopa-unresponsive focal dystonia, a disease that involves the basal ganglia, like PD, but has motor symptoms that are insensitive to dopamine treatment and is not thought to involve frontal cortical DA circuits, unlike PD. We found that people with focal dystonia showed intact perceptual decision-making performance but impaired use of priors in perceptual decision-making, similar to people with PD. Together, the results show a dissociation between motor and cognitive performance in people with PD and reveal a novel cognitive impairment, independent of sensory and motor impairment, in people with focal dystonia. The combined results from people with PD and people with focal dystonia provide mechanistic insights into the role of basal ganglia non-dopaminergic circuits in perceptual decision-making based on priors.
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Affiliation(s)
- Alessandra Perugini
- Joaquin Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences, Department of Neurobiology, and The Semel Institute for Neuroscience and Human Behavior and the Brain Research Institute, David Geffen School of Medicine, University of California , Los Angeles, California
| | - Michele A Basso
- Joaquin Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences, Department of Neurobiology, and The Semel Institute for Neuroscience and Human Behavior and the Brain Research Institute, David Geffen School of Medicine, University of California , Los Angeles, California
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26
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Dopaminergic medication shifts the balance between going and stopping in Parkinson's disease. Neuropsychologia 2018; 109:262-269. [DOI: 10.1016/j.neuropsychologia.2017.12.032] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 12/12/2017] [Accepted: 12/17/2017] [Indexed: 11/17/2022]
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27
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Herz DM, Tan H, Brittain JS, Fischer P, Cheeran B, Green AL, FitzGerald J, Aziz TZ, Ashkan K, Little S, Foltynie T, Limousin P, Zrinzo L, Bogacz R, Brown P. Distinct mechanisms mediate speed-accuracy adjustments in cortico-subthalamic networks. eLife 2017; 6. [PMID: 28137358 PMCID: PMC5287713 DOI: 10.7554/elife.21481] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 01/15/2017] [Indexed: 01/29/2023] Open
Abstract
Optimal decision-making requires balancing fast but error-prone and more accurate but slower decisions through adjustments of decision thresholds. Here, we demonstrate two distinct correlates of such speed-accuracy adjustments by recording subthalamic nucleus (STN) activity and electroencephalography in 11 Parkinson’s disease patients during a perceptual decision-making task; STN low-frequency oscillatory (LFO) activity (2–8 Hz), coupled to activity at prefrontal electrode Fz, and STN beta activity (13–30 Hz) coupled to electrodes C3/C4 close to motor cortex. These two correlates differed not only in their cortical topography and spectral characteristics but also in the relative timing of recruitment and in their precise relationship with decision thresholds. Increases of STN LFO power preceding the response predicted increased thresholds only after accuracy instructions, while cue-induced reductions of STN beta power decreased thresholds irrespective of instructions. These findings indicate that distinct neural mechanisms determine whether a decision will be made in haste or with caution. DOI:http://dx.doi.org/10.7554/eLife.21481.001 In everyday decisions, we have to balance how quickly we need to make a decision with how accurate we want our decision to be. For example, if you plan your next holiday you might want to make sure that you pick the best destination without caring too much about the time it takes to arrive at that decision. On the other hand, in your lunch break you might want to quickly choose between the different meals on the menu to make sure you are back at work on time, even though you might overlook a dish that you would have preferred. This effect – that decisions we make in haste are more likely to be suboptimal than slower, more deliberate decisions – is known as the speed-accuracy trade-off. One theory suggests that the activity of a brain area termed the subthalamic nucleus reflects whether people will prioritize speed or accuracy during decision-making. This area is seated deep inside the brain, meaning that it is normally difficult to record its activity. Herz et al. have now recorded the activity of the subthalamic nucleus in individuals with Parkinson’s disease who underwent brain surgery as part of their treatment. When these individuals switched between fast and cautious decision-making, the activity in the subthalamic nucleus changed, as did its relationship with the activity seen in other brain areas. Furthermore, these activity changes predicted how much information participants acquired before committing to a choice. Deep brain stimulation of the subthalamic nucleus is now a standard treatment for Parkinson’s disease. It will be important to assess whether this treatment affects the changes in subthalamic activity that are related to decision-making, and whether this affects whether an individual is more likely to make fast or accurate decisions. DOI:http://dx.doi.org/10.7554/eLife.21481.002
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Affiliation(s)
- Damian M Herz
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Huiling Tan
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - John-Stuart Brittain
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Petra Fischer
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Binith Cheeran
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Alexander L Green
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - James FitzGerald
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Tipu Z Aziz
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Keyoumars Ashkan
- Department of Neurosurgery, King's College Hospital, London, United Kingdom
| | - Simon Little
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Thomas Foltynie
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Patricia Limousin
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, London, United Kingdom
| | - Rafal Bogacz
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Peter Brown
- Medical Research Council Brain Network Dynamics Unit at the University of Oxford, Oxford, United Kingdom.,Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
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Perugini A, Ditterich J, Basso MA. Patients with Parkinson's Disease Show Impaired Use of Priors in Conditions of Sensory Uncertainty. Curr Biol 2016; 26:1902-10. [PMID: 27322000 PMCID: PMC5633083 DOI: 10.1016/j.cub.2016.05.039] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2016] [Revised: 04/05/2016] [Accepted: 05/16/2016] [Indexed: 11/25/2022]
Abstract
Perceptual decisions arise after considering the available sensory evidence [1]. When sensory information is unreliable, a good strategy is to rely on previous experience in similar situations to guide decisions [2-6]. It is well known that patients with Parkinson's disease (PD) are impaired at value-based decision-making [7-11]. How patients combine past experience and sensory information to make perceptual decisions is unknown. We developed a novel, perceptual decision-making task and manipulated the statistics of the sensory stimuli presented to patients with PD and healthy participants to determine the influence of past experience on decision-making. We show that patients with PD are impaired at combining previously learned information with current sensory information to guide decisions. We modeled the results using the drift-diffusion model (DDM) and found that the impairment corresponds to a failure in adjusting the amount of sensory evidence needed to make a decision. Our modeling results also show that two complementary mechanisms operate to implement a bias when two sets of priors are learned concurrently. Asymmetric decision threshold adjustments, as reflected by changes in the starting point of evidence accumulation, are responsible for a general choice bias, whereas the adjustment of a dynamic bias that develops over the course of a trial, as reflected by a drift-rate offset, provides the stimulus-specific component of the prior. A proper interplay between these two processes is required to implement a bias based on concurrent, stimulus-specific priors in decision-making. We show here that patients with PD are impaired in these across-trial decision threshold adjustments.
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Affiliation(s)
- Alessandra Perugini
- The Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences, Department of Neurobiology, Semel Institute for Neuroscience and Human Behavior, Brain Research Institute, David Geffen School of Medicine at University of California, Los Angeles, 635 Charles Young Drive, Box 957332, Los Angeles, CA 90095, USA
| | - Jochen Ditterich
- Center for Neuroscience and Department of Neurobiology, Physiology, and Behavior, University of California, Davis, 1544 Newton Court, Davis, CA 95618, USA
| | - Michele A Basso
- The Fuster Laboratory of Cognitive Neuroscience, Department of Psychiatry and Biobehavioral Sciences, Department of Neurobiology, Semel Institute for Neuroscience and Human Behavior, Brain Research Institute, David Geffen School of Medicine at University of California, Los Angeles, 635 Charles Young Drive, Box 957332, Los Angeles, CA 90095, USA.
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Subthalamic nucleus deep brain stimulation induces impulsive action when patients with Parkinson's disease act under speed pressure. Exp Brain Res 2016; 234:1837-1848. [PMID: 26892884 PMCID: PMC4893074 DOI: 10.1007/s00221-016-4577-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Accepted: 01/28/2016] [Indexed: 12/19/2022]
Abstract
The subthalamic nucleus (STN) is proposed to modulate response thresholds and speed–accuracy trade-offs. In situations of conflict, the STN is considered to raise response thresholds, allowing time for the accumulation of information to occur before a response is selected. Conversely, speed pressure is thought to reduce the activity of the STN and lower response thresholds, resulting in fast, errorful responses. In Parkinson’s disease (PD), subthalamic nucleus deep brain stimulation (STN-DBS) reduces the activity of the nucleus and improves motor symptoms. We predicted that the combined effects of STN stimulation and speed pressure would lower STN activity and lead to fast, errorful responses, hence resulting in impulsive action. We used the motion discrimination ‘moving-dots’ task to assess speed–accuracy trade-offs, under both speed and accuracy instructions. We assessed 12 patients with PD and bilateral STN-DBS and 12 age-matched healthy controls. Participants completed the task twice, and the patients completed it once with STN-DBS on and once with STN-DBS off, with order counterbalanced. We found that STN stimulation was associated with significantly faster reaction times but more errors under speed instructions. Application of the drift diffusion model showed that stimulation resulted in lower response thresholds when acting under speed pressure. These findings support the involvement of the STN in the modulation of speed–accuracy trade-offs and establish for the first time that speed pressure alone, even in the absence of conflict, can result in STN stimulation inducing impulsive action in PD.
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Georgiev D, Dirnberger G, Wilkinson L, Limousin P, Jahanshahi M. In Parkinson's disease on a probabilistic Go/NoGo task deep brain stimulation of the subthalamic nucleus only interferes with withholding of the most prepotent responses. Exp Brain Res 2016; 234:1133-43. [PMID: 26758720 PMCID: PMC4785203 DOI: 10.1007/s00221-015-4531-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Accepted: 12/12/2015] [Indexed: 01/31/2023]
Abstract
The evidence on the impact of subthalamic nucleus deep brain stimulation (STN-DBS) on action restraint on Go/NoGO reaction time (RT) tasks in Parkinson’s disease (PD) is inconsistent; with some studies reporting no effect and others finding that STN stimulation interferes with withholding of responses and results in more commission errors relative to STN-DBS off. We used a task in which the probability of Go stimuli varied from 100 % (simple RT task) to 80, 50 and 20 % (probabilistic Go/NoGo RT task), thus altering the prepotency of the response and the difficulty in withholding it on NoGo trials. Twenty PD patients with STN-DBS, ten unoperated PD patients and ten healthy controls participated in the study. All participants were tested twice; the order of on versus off stimulation for STN-DBS PD patients was counterbalanced. Both STN-DBS and unoperated PD patients were tested on medication. The results indicated that STN-DBS selectively decreased discriminability when the response was most prepotent (high—80 %, as compared to low Go probability trials—50 and 20 %). Movement times were faster with STN stimulation than with DBS off across different Go probability levels. There was neither an overall nor a selective effect of STN-DBS on RTs depending on the level of Go probability. Furthermore, compared to healthy controls, both STN-DBS and unoperated PD patients were more prone to making anticipatory errors; which was not influenced by STN stimulation. The results provide evidence for ‘load-dependent’ effects of STN stimulation on action restraint as a function of the prepotency of the Go response.
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Affiliation(s)
- Dejan Georgiev
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, 33 Queen Square, London, WC1N 3BG, UK
| | - Georg Dirnberger
- Department of Clinical Neuroscience, Danube University, Dr.-Karl-Dorrek-Straße 30, 3500, Krems, Austria
| | - Leonora Wilkinson
- Behavioural Neurology Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, 10 Centre Dr., MSC 1440, Bethesda, MD, 20892-1440, USA
| | - Patricia Limousin
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, 33 Queen Square, London, WC1N 3BG, UK
| | - Marjan Jahanshahi
- Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, 33 Queen Square, London, WC1N 3BG, UK.
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