- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07402928
Optimistic and Pessimistic Dopamine Signals in the Human Brain: a Mapping and Modelling Study in Health and Parkinson's Disease (OPD)
The goal of this observational study is to investigate whether the healthy human brain shows a diversity of optimistic and pessimistic reward signals and whether changes in this distribution in Parkinson's disease (PD) can provide mechanistic insights into the cause of symptoms.
The main hypotheses it aims to test are:
- As shown in mice, a diversity of optimistic and pessimistic dopamine reward signals exists in the human ventral tegmental area (VTA) and the ventro-rostral basal ganglia circuit.
- Pessimistic neurons are more severely affected by neurodegeneration in PD.
Researchers will compare the diversity of optimistic and pessimistic dopamine reward signals in patients with PD and healthy participants to see if there is a skewed distribution of optimistic and pessimistic reward signals in PD. Participants will play a task probing reward- and movement related brain activity in an MRI scanner. Researchers will derive functional topographic maps of optimism/pessimism in VTA, substantia nigra pars compacta (SNc), striatum and cortical areas such as the anterior cingulate cortex (ACC).
In sub-study 1, participants will be tested on one study day where patients with PD are tested in the off-medication state (40 control participants, 40 patients with PD).
In sub-study 2, to test whether/how dopaminergic medication affects the distribution of optimism/pessimism, participants will be tested on two study days (30 control participants, 30 patients with PD). Patients with PD are tested one day in the off-medication state, another day in the on-medication state (order counterbalanced between patients with PD). Control participants are tested on two days without medication challenge to test for test-retest effects.
Study Overview
Status
Conditions
Detailed Description
The dopamine system is tasked with motivating action and driving learning and thus lies at the core of adaptive behaviour. Whereas motivation of action has consistently been found to be impaired in Parkinson's disease (PD), less is known about the potential impairments of reward-based learning in PD.
In this project, investigators use reinforcement learning (RL) as a computational framework for understanding the role of dopamine in reward-based learning in health and in PD. RL can be defined as learning based on prior experiences. A core concept of RL is the reward prediction error (RPE). An RPE is the deviation between an obtained reward and an expected reward that an agent (e.g. a person) gets in a given environment. The RPE is used to update future expectations in similar situations. Thus, RPEs are critical for the agent's ability to adapt its behavior to the environment. These RPEs are signalled by dopamine neurons in the ventral tegmental area (VTA).
Recent advancements in the study of RL in mice have fundamentally changed our understanding of dopamine's role in reward-based learning. Dabney et al. (2020) discovered with single-cell recordings how dopamine signals in the VTA systematically differ in their RPE signals. They proposed a distributional RL (distRL) model where neurons can have diverse firing patterns. Neurons can be so-called "pessimistic" neurons which expect low rewards and can be positively surprised (as expressed by increased firing rate) by rewards that are even below-average, whereas "optimistic" neurons expect high rewards and can be negatively surprised (expressed by a decreased firing rate) even by above-average rewards. It remains to be examined whether distRL also applies to the dopamine system in the healthy human brain. Furthermore, if distRL does apply to the human brain, this framework might provide mechanistic insights into the cause of a range of different symptoms in PD.
The importance of dopamine is particularly prominent in PD, a progressive neurodegenerative disease, in which the progressive loss of dopamine neurons in the midbrain causes the classical motor symptoms (referred to as parkinsonism) and contributes to non-motor disturbances, such as apathy and cognitive slowing. PD is the second most frequent age-related neurodegenerative disorder and the global burden of PD has more than doubled over the last two decades mainly as a result of increasing numbers of older people.
Dopamine neurons have been suggested to be especially vulnerable to neurotoxicity. Interactive cascades of dopamine oxidation and mitochondrial stress due to aberrant calcium signaling are thought to be main causes of neurodegeneration. In this context, distRL and its representational implementation in dopaminergic cells leads to novel hypotheses: The pessimistic dopamine neurons (which are positively "surprised" by most outcomes and increase their firing rate) are exposed to higher oxidative mitochondrial stress over their lifetime than optimistic neurons and would thus be more prone to neurodegeneration than optimistic neurons. While the prominent motor symptoms are caused by massive degeneration in the SN, neurodegeneration in the less vulnerable VTA is less extensive, but still of relevant size. Consequently, already shortly after diagnosis, reward signaling in the VTA is significantly reduced. Thus, investigators of this project hypothesize that neurodegeneration in both the SN and VTA is biased towards "pessimistic" neurons. Consequently, for most reward outcomes in an environment, there are fewer neurons responding with dopamine release to an outcome (but the same number of neurons responding with a pause in firing). This results in a reduced overall dopamine response to most events, favouring anhedonia and apathy.
Investigators of this project will use functional magnetic resonance imaging (fMRI) and derive functional maps of optimism/pessimism. During the fMRI experiment, participants will be shown different stimuli ("cards") and, upon squeezing a grip-force device, they win or lose a small amount of money each time, accumulating money as they play. The different stimuli have different probabilities of leading to a reward or loss event which participants learn through observation. Some trials are forced-choice trials with only a single stimulus available, other trials are open-choice trials where participants get to choose between stimuli and can thus affect their accumulated earnings by choosing the stimuli that they have observed to be most beneficial.
The investigators will test the following main hypotheses:
- As shown in mice, a diversity of "optimistic" and "pessimistic" dopamine reward signals exists in the human VTA and the ventro-rostral basal ganglia circuit.
- "Pessimistic" neurons are more severely affected by neurodegeneration in PD. Furthermore, investigators will explore how potential shifts in the pessimism-optimism balance might be related to cognitive and motor symptoms in PD.
In a second study-arm, investigators will also explore whether/how medication state affects the distribution of optimistic and pessimistic prediction error signals. Here, patients with PD are tested one day in the off-medication state, another day in the on-medication state (order counterbalanced between patients with PD). The pragmatic off-medication state implies that patients will not have taken their morning dose of antiparkinsonian medication before arrival. Control participants are tested on two days without medication challenge to test for test-retest effects.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: David Meder, PhD
- Phone Number: 004529892696
- Email: davidm@drcmr.dk
Study Contact Backup
- Name: Ditte H Frantzen, MSc
- Phone Number: 004542152404
- Email: dittehf@drcmr.dk
Study Locations
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Hvidovre, Denmark, 2650
- Recruiting
- Danish Research Centre for Magnetic Resonance (DRCMR), Hvidovre Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
PD PATIENTS:
Inclusion Criteria:
- At least 35 years of age.
- Clinically established or probable PD according to the Movement Disorder Society Clinical Diagnostic Criteria for Parkinson's Disease
- Akinetic-rigid type PD
- Stable antiparkinsonian medicine for 4 weeks without major side effects such as dyskinesia or on-off periods.
- Signed informed consent.
Exclusion Criteria:
- Female participants of childbearing age must not be pregnant, and they must use contraception.
- Breastfeeding.
- History of other neurologic or psychiatric disease other than depression.
- Claustrophobia, pacemakers, implanted electronic devices, metal in the body, or other contraindications for MR scans.
- Patients receiving advanced PD treatment such as duodopa pump or apomorphine pen
- Regular intake of antipsychotics and GABAergic medications (such as pregabalin and gabapentine).
- Severe depression (MDI score > 29).
- Refuse to be informed about new health-related findings that might appear through participation.
HEALTHY CONTROLS:
Inclusion criteria:
- At least 35 years of age.
- Signed informed consent.
Exclusion criteria:
- Female participants of childbearing age must not be pregnant, and they must use contraception.
- Breastfeeding.
- History of neurologic or psychiatric disease other than depression.
- Claustrophobia, pacemakers, implanted electronic devices, metal in the body, or other contraindications for MR scans.
- Regular intake of antipsychotics and GABAergic medications (such as pregabalin and gabapentine).
- Severe depression (MDI score > 29).
- Refuse to be informed about new health-related information and accidental health-related findings that might appear through participation.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Patients with Parkinson's Disease
Inclusion criteria:
Exclusion criteria:
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Healthy controls
Inclusion criteria
Exclusion criteria
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Topographic distribution of the degree of optimism or pessimism
Time Frame: Day 1 and Day 2
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The main outcome measure is the topographic distribution of the degree of optimism or pessimism of each voxel's prediction error signal across the brains' cortical and sub-cortical grey matter.
Investigators focus on the dopaminergic midbrain regions VTA/SNc and their main target region, the striatum.
In sub-study 1, this distribution will be compared between people with Parkinson's disease and healthy controls.
In sub-study 2, the change in distribution between the off- and the on-medication state in patients with PD will be compared to the test-retest change in distribution in control participants.
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Day 1 and Day 2
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Movement Disorder Society - Unified Parkinson's Disease Rating Scale (MDS-UPDRS)
Time Frame: Day 1 and Day 2
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MDS-UPDRS total score (sum of all 4 sub-scores listed below, range 0-260; higher score = worse outcome) and all four sub-scores. Sub-scores include: Part l subscore: Non-Motor Aspects of Experiences of Daily Living (nM-EDL; range 0-52; higher score = worse outcome); Part ll sub-score: motor experiences of daily living (M-EDL; range 0-52; higher score = worse outcome); Part lll sub-score: motor examination (range 0-132; higher score = worse outcome); Part lV sub-score: motor complications (range 0-24; higher score = worse outcome). |
Day 1 and Day 2
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Major Depression Inventory (MDI)
Time Frame: Day 1 and Day 2
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Major Depression Inventory (MDI) total score (range 0-50; higher score = worse outcome)
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Day 1 and Day 2
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Montreal Cognitive Assessment (MoCA)
Time Frame: PD patients: ON-medication (Day 1 or Day 2, counterbalanced). Healthy controls: Day 1.
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Montreal Cognitive Assessment (MoCA) total score (range 0-30; higher score = better outcome) and sub-scores. Sub-scores include: Visuospatial/executive (range 0-5; higher score = better outcome); Naming (range 0-3; higher score = better outcome); Attention (range 0-6; higher score = better outcome); Language (range 0-3; higher score = better outcome); Abstraction (range 0-2; higher score = better outcome); Delayed recall (range 0-5; higher score = better outcome); Orientation (range 0-6; higher score = better outcome). Additionally, Memory Index Score (range 0-15; higher score = better outcome) is also examined. |
PD patients: ON-medication (Day 1 or Day 2, counterbalanced). Healthy controls: Day 1.
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Apathy Scale (AS)
Time Frame: Day 1 and Day 2
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Apathy Scale (AS) total score (range 0-42; higher score = worse outcome)
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Day 1 and Day 2
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Lille Apathy Rating Scale (LARS)
Time Frame: Day 1 and Day 2
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Lille Apathy Rating Scale (LARS) total score (range -36-36; higher score = worse outcome), sub-scores and factoral sub-scores.
Sub-scores include: everyday productivity (EP); interests (INT); initiative (INI); novelty seeking (NS); motivation (M); emotional responses (ER); concern (C); social life (SL); self awareness (SA).
Factorial sub-scores include: intellectual curiosity (IC); emotion (E); action initiation (AI); self awareness (SA).
All sub-scores and factorial sub-scores have a range -4-4 and a higher score means worse outcome.
|
Day 1 and Day 2
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Edinburgh Handedness Inventory (EHI)
Time Frame: PD patients: ON-medication (Day 1 or Day 2, counterbalanced). Healthy controls: Day 1.
|
Edinburgh Handedness Inventory (EHI) handedness category (L, R, A) and Laterality Quotient (range -100-100; less than -40 means left-handed (L), -40 to 40 means ambidextrous (A), greater than 40 means right-handed (R)).
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PD patients: ON-medication (Day 1 or Day 2, counterbalanced). Healthy controls: Day 1.
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Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease - Rating Scale (QUIP-RS)
Time Frame: Day 1 and Day 2
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Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease - Rating Scale (QUIP-RS) total score (range 0-112; higher score = worse outcome), total impulsive-compulsive disorder (ICD) score (range 0-64; higher score = worse outcome) and six sub-scores.
Sub-scores include: sub-score A: Gambling (range 0-16; higher score = worse outcome), sub-score B: Sex (range 0-16; higher score = worse outcome), sub-score C: Buying (range 0-16; higher score = worse outcome), sub-score D: Eating (range 0-16; higher score = worse outcome), sub-score E: Hobbyism-Punding (range 0-32; higher score = worse outcome) and sub-score F: PD-Medication Use (range 0-16; higher score = worse outcome).
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Day 1 and Day 2
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Snaith-Hamilton Pleasure Scale (SHAPS)
Time Frame: Day 1 and Day 2
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Snaith-Hamilton Pleasure Scale (SHAPS) total score (range 0-14; higher score = worse outcome)
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Day 1 and Day 2
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Temporal Experience of Pleasure Scale (TEPS)
Time Frame: Day 1 and Day 2
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Temporal Experience of Pleasure Scale (TEPS) total score (range 18-108; higher score = better outcome) and two sub-scores.
Sub-scores include: Anticipatory (ANT; range 10-60; higher score = better outcome) and consummatory (CON; range 8-48; higher score = better outcome).
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Day 1 and Day 2
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Paired Associates Learning (PAL) from Cambridge Neuropsychological Testing Automated Battery (CANTAB), Total errors adjusted
Time Frame: Day 1 and Day 2
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Total errors adjusted (for expected errors on attempts that were not reached).
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Day 1 and Day 2
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Paired Associates Learning (PAL) from Cambridge Neuropsychological Testing Automated Battery (CANTAB), Mean errors to success
Time Frame: Day 1 and Day 2
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Mean errors to success (number of trials required to locate the pattern(s) correctly).
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Day 1 and Day 2
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Paired Associates Learning (PAL) from Cambridge Neuropsychological Testing Automated Battery (CANTAB), First attempt memory score
Time Frame: Day 1 and Day 2
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First attempt memory score (number of times a pattern was correctly recalled on the first attempt).
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Day 1 and Day 2
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Paired Associates Learning (PAL) from Cambridge Neuropsychological Testing Automated Battery (CANTAB), Number of patterns reached
Time Frame: Day 1 and Day 2
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Number of patterns reached (number of patterns on the last problem being reached).
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Day 1 and Day 2
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Neural activity (BOLD response)
Time Frame: Day 1 and Day 2
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Beyond the primary outcome measure (topographic distribution of the degree of optimism/pessimism of prediction error signals), other neural responses to experimental events (motor responses, contrasts between neural responses to winning vs. losing money) will be explored.
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Day 1 and Day 2
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Response time
Time Frame: Day 1 and Day 2
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Time from stimulus presentation to response during fMRI task
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Day 1 and Day 2
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Grip force
Time Frame: Day 1 and Day 2
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Maximally achieved grip force during responses
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Day 1 and Day 2
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Response vigor
Time Frame: Day 1 and Day 2
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Maximally achieved vigor ("yank"/slope) of each grip response
|
Day 1 and Day 2
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: David Meder, PhD, Danish Research Centre for Magnetic Resonance (DRCMR), Hvidovre Hospital
Publications and helpful links
General Publications
- Schultz W, Dayan P, Montague PR. A neural substrate of prediction and reward. Science. 1997 Mar 14;275(5306):1593-9. doi: 10.1126/science.275.5306.1593.
- Surmeier DJ, Graves SM, Shen W. Dopaminergic modulation of striatal networks in health and Parkinson's disease. Curr Opin Neurobiol. 2014 Dec;29:109-17. doi: 10.1016/j.conb.2014.07.008. Epub 2014 Jul 22.
- Sulzer D. Multiple hit hypotheses for dopamine neuron loss in Parkinson's disease. Trends Neurosci. 2007 May;30(5):244-50. doi: 10.1016/j.tins.2007.03.009. Epub 2007 Apr 5.
- Bezprozvanny I. Calcium signaling and neurodegenerative diseases. Trends Mol Med. 2009 Mar;15(3):89-100. doi: 10.1016/j.molmed.2009.01.001. Epub 2009 Feb 21.
- GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 2018 Nov;17(11):939-953. doi: 10.1016/S1474-4422(18)30295-3. Epub 2018 Oct 1.
- Sierra M, Carnicella S, Strafella AP, Bichon A, Lhommee E, Castrioto A, Chabardes S, Thobois S, Krack P. Apathy and Impulse Control Disorders: Yin & Yang of Dopamine Dependent Behaviors. J Parkinsons Dis. 2015;5(3):625-36. doi: 10.3233/JPD-150535.
- Obeso JA, Marin C, Rodriguez-Oroz C, Blesa J, Benitez-Temino B, Mena-Segovia J, Rodriguez M, Olanow CW. The basal ganglia in Parkinson's disease: current concepts and unexplained observations. Ann Neurol. 2008 Dec;64 Suppl 2:S30-46. doi: 10.1002/ana.21481.
- Dabney W, Kurth-Nelson Z, Uchida N, Starkweather CK, Hassabis D, Munos R, Botvinick M. A distributional code for value in dopamine-based reinforcement learning. Nature. 2020 Jan;577(7792):671-675. doi: 10.1038/s41586-019-1924-6. Epub 2020 Jan 15.
- Meder D, Herz DM, Rowe JB, Lehericy S, Siebner HR. The role of dopamine in the brain - lessons learned from Parkinson's disease. Neuroimage. 2019 Apr 15;190:79-93. doi: 10.1016/j.neuroimage.2018.11.021. Epub 2018 Nov 20.
- Stauffer WR. The biological and behavioral computations that influence dopamine responses. Curr Opin Neurobiol. 2018 Apr;49:123-131. doi: 10.1016/j.conb.2018.02.005. Epub 2018 Mar 2.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- H-24084004
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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