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Camerino I, Ferreira J, Vonk JM, Kessels RPC, de Leeuw FE, Roelofs A, Copland D, Piai V. Systematic Review and Meta-Analyses of Word Production Abilities in Dysfunction of the Basal Ganglia: Stroke, Small Vessel Disease, Parkinson's Disease, and Huntington's Disease. Neuropsychol Rev 2024; 34:1-26. [PMID: 36564612 DOI: 10.1007/s11065-022-09570-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 10/13/2022] [Accepted: 11/16/2022] [Indexed: 12/25/2022]
Abstract
Clinical populations with basal ganglia pathologies may present with language production impairments, which are often described in combination with comprehension measures or attributed to motor, memory, or processing-speed problems. In this systematic review and meta-analysis, we studied word production in four (vascular and non-vascular) pathologies of the basal ganglia: stroke affecting the basal ganglia, small vessel disease, Parkinson's disease, and Huntington's disease. We compared scores of these clinical populations with those of matched cognitively unimpaired adults on four well-established production tasks, namely picture naming, category fluency, letter fluency, and past-tense verb inflection. We conducted a systematic search in PubMed and PsycINFO with terms for basal ganglia structures, basal ganglia disorders and language production tasks. A total of 114 studies were included, containing results for one or more of the tasks of interest. For each pathology and task combination, effect sizes (Hedges' g) were extracted comparing patient versus control groups. For all four populations, performance was consistently worse than that of cognitively unimpaired adults across the four language production tasks (p-values < 0.010). Given that performance in picture naming and verb inflection across all pathologies was quantified in terms of accuracy, our results suggest that production impairments cannot be fully explained by motor or processing-speed deficits. Our review shows that while language production difficulties in these clinical populations are not negligible, more evidence is necessary to determine the exact mechanism that leads to these deficits and whether this mechanism is the same across different pathologies.
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Affiliation(s)
- Ileana Camerino
- Donders Centre for Cognition, Radboud University, Nijmegen, The Netherlands
| | - João Ferreira
- Donders Centre for Cognition, Radboud University, Nijmegen, The Netherlands.
| | - Jet M Vonk
- Department of Neurology, Memory and Aging Center, University of California San Francisco (UCSF), San Francisco, CA, USA
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roy P C Kessels
- Donders Centre for Cognition, Radboud University, Nijmegen, The Netherlands
- Vincent van Gogh Institute for Psychiatry, Venray, The Netherlands
- Donders Centre for Medical Neuroscience, Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Centre for Medical Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
| | - Ardi Roelofs
- Donders Centre for Cognition, Radboud University, Nijmegen, The Netherlands
| | - David Copland
- School of Health and Rehabilitation Sciences, The University of Queensland, Saint Lucia, QLD, Australia
- Queensland Aphasia Research Centre, The University of Queensland, Herston, QLD, Australia
| | - Vitória Piai
- Donders Centre for Cognition, Radboud University, Nijmegen, The Netherlands
- Donders Centre for Medical Neuroscience, Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands
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Zhang L, Vashisht H, Nethra A, Slattery B, Ward T. Differences in Learning and Persistency Characterizing Behavior in Chronic Pain for the Iowa Gambling Task: Web-Based Laboratory-in-the-Field Study. J Med Internet Res 2022; 24:e26307. [PMID: 35384855 PMCID: PMC9021953 DOI: 10.2196/26307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 04/14/2021] [Accepted: 12/27/2021] [Indexed: 11/20/2022] Open
Abstract
Background Chronic pain is a significant worldwide health problem. It has been reported that people with chronic pain experience decision-making impairments, but these findings have been based on conventional laboratory experiments to date. In such experiments, researchers have extensive control of conditions and can more precisely eliminate potential confounds. In contrast, there is much less known regarding how chronic pain affects decision-making captured via laboratory-in-the-field experiments. Although such settings can introduce more experimental uncertainty, collecting data in more ecologically valid contexts can better characterize the real-world impact of chronic pain. Objective We aim to quantify decision-making differences between individuals with chronic pain and healthy controls in a laboratory-in-the-field environment by taking advantage of internet technologies and social media. Methods A cross-sectional design with independent groups was used. A convenience sample of 45 participants was recruited through social media: 20 (44%) participants who self-reported living with chronic pain, and 25 (56%) people with no pain or who were living with pain for <6 months acting as controls. All participants completed a self-report questionnaire assessing their pain experiences and a neuropsychological task measuring their decision-making (ie, the Iowa Gambling Task) in their web browser at a time and location of their choice without supervision. Results Standard behavioral analysis revealed no differences in learning strategies between the 2 groups, although qualitative differences could be observed in the learning curves. However, computational modeling revealed that individuals with chronic pain were quicker to update their behavior than healthy controls, which reflected their increased learning rate (95% highest–posterior-density interval [HDI] 0.66-0.99) when fitted to the Values-Plus-Perseverance model. This result was further validated and extended on the Outcome-Representation Learning model as higher differences (95% HDI 0.16-0.47) between the reward and punishment learning rates were observed when fitted to this model, indicating that individuals with chronic pain were more sensitive to rewards. It was also found that they were less persistent in their choices during the Iowa Gambling Task compared with controls, a fact reflected by their decreased outcome perseverance (95% HDI −4.38 to −0.21) when fitted using the Outcome-Representation Learning model. Moreover, correlation analysis revealed that the estimated parameters had predictive value for the self-reported pain experiences, suggesting that the altered cognitive parameters could be potential candidates for inclusion in chronic pain assessments. Conclusions We found that individuals with chronic pain were more driven by rewards and less consistent when making decisions in our laboratory-in-the-field experiment. In this case study, it was demonstrated that, compared with standard statistical summaries of behavioral performance, computational approaches offered superior ability to resolve, understand, and explain the differences in decision-making behavior in the context of chronic pain outside the laboratory.
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Affiliation(s)
- Lili Zhang
- School of Computing, Dublin City University, Dublin, Ireland.,Insight Science Foundation Ireland Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
| | | | - Alekhya Nethra
- School of Computing, Dublin City University, Dublin, Ireland
| | - Brian Slattery
- School of Psychology, Dublin City University, Dublin, Ireland
| | - Tomas Ward
- School of Computing, Dublin City University, Dublin, Ireland.,Insight Science Foundation Ireland Research Centre for Data Analytics, Dublin City University, Dublin, Ireland
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3
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Decision Making Under Uncertainty In Parkinson’s Disease With Rem Sleep Behavior Disorder. Sleep Med 2022; 90:214-221. [DOI: 10.1016/j.sleep.2022.01.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 01/13/2022] [Accepted: 01/30/2022] [Indexed: 11/18/2022]
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Colautti L, Iannello P, Silveri MC, Antonietti A. Decision making in Parkinson's disease: An analysis of the studies using the Iowa Gambling Task. Eur J Neurosci 2021; 54:7513-7549. [PMID: 34655122 PMCID: PMC9299644 DOI: 10.1111/ejn.15497] [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: 05/10/2021] [Revised: 10/02/2021] [Accepted: 10/11/2021] [Indexed: 12/21/2022]
Abstract
In Parkinson's disease (PD) impairments in decision making can occur, in particular because of the tendency toward risky and rewarding options. The Iowa Gambling Task has been widely used to investigate decision processes involving these options. The task assesses the ability to manage risk and to learn from feedback. The present paper aims at critically examining those studies in which this task has been administered to PD patients, in order to understand possible anomalies in patients' decision processes and which variables are responsible for that. A meta‐analysis has been conducted as well. Features of the task, sociodemographic and clinical aspects (including daily drugs intake), cognitive conditions and emotional disorders of the patients have been taken into account. Neural correlates of decision‐making competences were considered. It emerged that PD patients show a trend of preference toward risky choices, probably due to an impairment in anticipating the unrewarding consequences or to an insensitiveness to punishment. The possible role played by dopamine medications in decision making under uncertain conditions, affecting basal ganglia and structures involved in the limbic loop, was discussed. Attention has been focused on some aspects that need to be investigated in further research, in order to delve into this issue and promote patients' quality of life.
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Affiliation(s)
- Laura Colautti
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
| | - Paola Iannello
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
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Li D, Zhang F, Wang L, Zhang Y, Yang T, Wang K, Zhu C. Decision making under ambiguity and risk in adolescent-onset schizophrenia. BMC Psychiatry 2021; 21:230. [PMID: 33947364 PMCID: PMC8094464 DOI: 10.1186/s12888-021-03230-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 04/20/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Numerous studies have identified impaired decision making (DM) under both ambiguity and risk in adult patients with schizophrenia. However, the assessment of DM in patients with adolescent-onset schizophrenia (AOS) has been challenging as a result of the instability and heterogeneity of manifestations. The Iowa Gambling Task (IGT) and Game of Dice Task (GDT), which are frequently used to evaluate DM respectively under ambiguity and risk, are sensitive to adolescents and neuropsychiatric patients. Our research intended to examine the performance of DM in a relatively large sample of patients with AOS using the above-mentioned two tasks. We also aimed to take a closer look at the relationship between DM and symptom severity of schizophrenia. METHODS We compared the performance of DM in 71 patients with AOS and 53 well-matched healthy controls using IGT for DM under ambiguity and GDT for DM under risk through net scores, total scores and feedback ration. Neuropsychological tests were conducted in all participants. Clinical symptoms were evaluated by using Positive and Negative Syndrome Scale (PANSS) in 71 patients with AOS. Pearson's correlation revealed the relationship among total score of DM and clinical and neuropsychological data. RESULTS Compared to healthy controls, patients with AOS failed to show learning effect and had a significant difference on the 5th block in IGT and conducted more disadvantageous choices as well as exhibited worse negative feedback rate in GDT. Apart from DM impairment under risk, diminished DM abilities under ambiguity were found related to poor executive function in AOS in the present study. CONCLUSIONS Our findings unveiled the abnormal pattern of DM in AOS, mainly reflected under the risky condition, extending the knowledge on the performance of DM under ambiguity and risk in AOS. Inefficient DM under risk may account for the lagging impulse control and the combined effects of developmental disease. In addition, our study demonstrated that the performance on IGT was related to executive function in AOS.
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Affiliation(s)
- Dandan Li
- grid.412679.f0000 0004 1771 3402Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022 China ,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022 China ,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022 China ,grid.186775.a0000 0000 9490 772XSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022 China
| | - Fengyan Zhang
- grid.33199.310000 0004 0368 7223Children’s Rehabilitation Department, Wuhan Mental Health Center, Wuhan, 430012 China
| | - Lu Wang
- grid.412679.f0000 0004 1771 3402Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022 China
| | - Yifan Zhang
- grid.186775.a0000 0000 9490 772XSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022 China
| | - Tingting Yang
- grid.186775.a0000 0000 9490 772XSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022 China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China. .,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230022, China.
| | - Chunyan Zhu
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China. .,School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230022, China.
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6
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Salvatore MF, Soto I, Alphonso H, Cunningham R, James R, Nejtek VA. Is there a Neurobiological Rationale for the Utility of the Iowa Gambling Task in Parkinson's Disease? JOURNAL OF PARKINSONS DISEASE 2021; 11:405-419. [PMID: 33361612 PMCID: PMC8150623 DOI: 10.3233/jpd-202449] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Up to 23% of newly diagnosed, non-demented, Parkinson’s disease (PD) patients experience deficits in executive functioning (EF). In fact, EF deficits may occur up to 39-months prior to the onset of motor decline. Optimal EF requires working memory, attention, cognitive flexibility, and response inhibition underlying appropriate decision-making. The capacity for making strategic decisions requires inhibiting imprudent decisions and are associated with noradrenergic and dopaminergic signaling in prefrontal and orbitofrontal cortex. Catecholaminergic dysfunction and the loss of noradrenergic and dopaminergic cell bodies early in PD progression in the aforementioned cortical areas likely contribute to EF deficits resulting in non-strategic decision-making. Thus, detecting these deficits early in the disease process could help identify a significant portion of individuals with PD pathology (14–60%) before frank motor impairment. A task to evaluate EF in the domain of non-strategic decision-making might be useful to indicate the moderate loss of catecholamines that occurs early in PD pathology prior to motor decline and cognitive impairment. In this review, we focus on the potential utility of the Iowa Gambling Task (IGT) for this purpose, given significant overlap between in loss of dopaminergic and noradrenergic cells bodies in early PD and the deficits in catecholamine function associated with decreased EF. As such, given the loss of catecholamines already well-underway after PD diagnosis, we evaluate the potential utility of the IGT to identify the risk of therapeutic non-compliance and a potential companion approach to detect PD in premotor stages.
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Affiliation(s)
- Michael F Salvatore
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Isabel Soto
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Helene Alphonso
- John Peter Smith Health Network, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Rebecca Cunningham
- College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Rachael James
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Vicki A Nejtek
- Institute for Healthy Aging, University of North Texas Health Science Center, Fort Worth, TX, USA
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7
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Marín-Lahoz J, Martínez-Horta S, Sampedro F, Pagonabarraga J, Horta-Barba A, Bejr-Kasem H, Botí MÁ, Fernández-Bobadilla R, Pascual-Sedano B, Pérez-Pérez J, Aracil-Bolaños I, Gironell A, Gómez-Ansón B, Kulisevsky J. Measuring impulsivity in Parkinson's disease: a correlational and structural neuroimaging study using different tests. Eur J Neurol 2020; 27:1478-1486. [PMID: 32250513 DOI: 10.1111/ene.14235] [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: 06/05/2019] [Accepted: 03/12/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Impulsivity is an aspect of personality and a major component of multiple neuropsychiatric conditions. In Parkinson's disease, it has been associated with the expression of impulse control disorders, a highly prevalent non-motor complication. Even though multiple tests of impulsivity have been used in this context, the impact of test choice has not been addressed. The aim was to evaluate whether different impulsivity measures in Parkinson's disease share substantial inter-scale and anatomical correlations or rather mirror different underlying phenomena. METHODS In a consecutive sample of 89 Parkinson's disease patients without impulse control disorders, four common tests were evaluated assessing different aspects of impulsivity: impulsiveness trait, decisions under implicit risk with and without losses, and delay discounting. Correlations among test scores were analysed and each score was used as a regressor in a set of grey matter volume (GMV) voxel-based morphometry analyses to explore their brain structural correlates. RESULTS No significant correlations were found between the different impulsivity tests. Furthermore, their structural brain correlates were divergent. Impulsiveness trait appeared to be associated with lower GMV in dorsal-lateral prefrontal cortices, implicit risk (with losses) with higher GMV in the left nucleus accumbens and lower left insular GMV, implicit risk (without losses) with higher GMV in the left lingual gyrus and lower GMV in the gyri recti and delay discounting with higher GMV in the left nucleus accumbens. CONCLUSIONS In Parkinson's disease, different impulsivity measures reflect very dissimilar behavioural and brain structural correlates. Our results suggest that parkinsonian impulsivity is not a unitary phenomenon but rather a heterogeneous entity.
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Affiliation(s)
- J Marín-Lahoz
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - S Martínez-Horta
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - F Sampedro
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - J Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - A Horta-Barba
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - H Bejr-Kasem
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - M Á Botí
- Universitat Oberta de Catalunya, Barcelona, Spain.,Asociació Catalana per al Parkinson, Barcelona, Spain
| | | | - B Pascual-Sedano
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Universitat Oberta de Catalunya, Barcelona, Spain
| | - J Pérez-Pérez
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - I Aracil-Bolaños
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - A Gironell
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - B Gómez-Ansón
- Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Neuroradiology Unit, Radiology Department, Sant Pau Hospital, Barcelona, Spain
| | - J Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d´Investigacions Biomèdiques-Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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8
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Hlavatá P, Linhartová P, Šumec R, Filip P, Světlák M, Baláž M, Kašpárek T, Bareš M. Behavioral and Neuroanatomical Account of Impulsivity in Parkinson's Disease. Front Neurol 2020; 10:1338. [PMID: 31998210 PMCID: PMC6965152 DOI: 10.3389/fneur.2019.01338] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 12/03/2019] [Indexed: 12/12/2022] Open
Abstract
Impulse control disorder (ICD) is a major non-motor complication of Parkinson's disease (PD) with often devastating consequences for patients' quality of life. In this study, we aimed to characterize the phenotype of impulsivity in PD and its neuroanatomical correlates. Methods: Thirty-seven PD patients (15 patients with ICD, 22 patients without ICD) and 36 healthy controls underwent a neuropsychological battery. The test battery consisted of anxiety and depression scales, self-report measures of impulsivity (Barratt scale and UPPS-P), behavioral measures of impulsive action (Go/No-Go task, Stop signal task) and impulsive choice (Delay discounting, Iowa gambling task), and measures of cognitive abilities (working memory, attention, executive function). Patients and controls underwent structural MRI scanning. Results: Patients with ICD had significantly higher levels of self-reported impulsivity (Barratt scale and Lack of perseverance from UPPS-P) in comparison with healthy controls and non-impulsive PD patients, but they performed similarly in behavioral tasks, except for the Iowa gambling task. In this task, patients with ICD made significantly less risky decisions than patients without ICD and healthy controls. Patients without ICD did not differ from healthy controls in self-reported impulsivity or behavioral measurements. Both patient groups were more anxious and depressive than healthy controls. MRI scanning revealed structural differences in cortical areas related to impulse control in both patient groups. Patients without ICD had lower volumes and cortical thickness of bilateral inferior frontal gyrus. Patients with ICD had higher volumes of right caudal anterior cingulate and rostral middle frontal cortex. Conclusions: Despite the presence of ICD as confirmed by both clinical follow-up and self-reported impulsivity scales and supported by structural differences in various neural nodes related to inhibitory control and reward processing, patients with ICD performed no worse than healthy controls in various behavioral tasks previously hypothesized as robust impulsivity measures. These results call for caution against impetuous interpretation of behavioral tests, since various factors may and will influence the ultimate outcomes, be it the lack of sensitivity in specific, limited ICD subtypes, excessive caution of ICD patients during testing due to previous negative experience rendering simplistic tasks insufficient, or other, as of now unknown aspects, calling for further research.
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Affiliation(s)
- Pavlína Hlavatá
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia.,Behavioral and Social Neuroscience Research Group, CEITEC-Central European Institute of Technology, Masaryk University, Brno, Czechia
| | - Pavla Linhartová
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Rastislav Šumec
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Pavel Filip
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Miroslav Světlák
- Faculty of Medicine, Institute of Psychology and Psychosomatics, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Marek Baláž
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia
| | - Tomáš Kašpárek
- Department of Psychiatry, Faculty of Medicine, Masaryk University Brno and University Hospital, Brno, Czechia
| | - Martin Bareš
- First Department of Neurology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital, Brno, Czechia.,Department of Neurology, School of Medicine, University of Minnesota, Minneapolis, MN, United States
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9
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Paz-Alonso PM, Navalpotro-Gomez I, Boddy P, Dacosta-Aguayo R, Delgado-Alvarado M, Quiroga-Varela A, Jimenez-Urbieta H, Carreiras M, Rodriguez-Oroz MC. Functional inhibitory control dynamics in impulse control disorders in Parkinson's disease. Mov Disord 2019; 35:316-325. [PMID: 31710401 DOI: 10.1002/mds.27885] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 09/02/2019] [Accepted: 09/13/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Impulse control disorders related to alterations in the mesocorticolimbic dopamine network occur in Parkinson's disease (PD). Our objective was to investigate the functional neural substrates of reward processing and inhibitory control in these patients. METHODS Eighteen PD patients with impulse control disorders, 17 without this complication, and 18 healthy controls performed a version of the Iowa Gambling Task during functional magnetic resonance scanning under 3 conditions: positive, negative, and mixed feedback. Whole-brain contrasts, regions of interest, time courses, functional connectivity analyses, and brain-behavior associations were examined. RESULTS PD patients with impulse control disorders exhibited hyperactivation in subcortical and cortical regions typically associated with reward processing and inhibitory control compared with their PD and healthy control counterparts. Time-course analyses revealed that only PD patients with impulse control disorders exhibited stronger signal intensity during the initial versus final periods of the negative-feedback condition in bilateral insula, and right ventral striatum. Interestingly, hyperactivation of all the examined right-lateralized frontostriatal areas during negative feedback was positively associated with impulse control disorder severity. Importantly, positive associations between impulse control disorder severity and regional activations in the right insula and right inferior frontal gyrus, but not the right subthalamic nucleus, were mediated by functional connectivity with the right ventral striatum. CONCLUSIONS During a reward-based task, PD patients with impulse control disorders showed hyperactivation in a right-lateralized network of regions including the subthalamic nucleus that was strongly associated with impulse control disorder severity. In these patients, the right ventral striatum in particular played a critical role in modulating the functional dynamics of right-lateralized inhibitory-control frontal regions when facing penalties. © 2019 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Pedro M Paz-Alonso
- BCBL. Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
| | - I Navalpotro-Gomez
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain.,Servei de Neurologia, Hospital del Mar, Parc de Salut Mar-IMIM, Barcelona, Spain
| | - P Boddy
- BCBL. Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
| | - R Dacosta-Aguayo
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain
| | - M Delgado-Alvarado
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain.,Neurology Department, Sierrallana Hospital, Torrelavega, Spain.,IDIVAL, Valdecilla Biomedical Research Institute, Santander, Spain.,Biomedical Research Networking Center for Mental Health (CIBERSAM), Madrid, Spain
| | - A Quiroga-Varela
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain.,Neuroscience Area, Center for Applied Medical Research (CIMA), Universidad de Navarra, Pamplona, Spain
| | - H Jimenez-Urbieta
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain
| | - M Carreiras
- BCBL. Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain.,Ikerbasque (Basque Foundation for Science), Bilbao, Spain
| | - Maria C Rodriguez-Oroz
- BCBL. Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain.,CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain.,Neuroscience Area, Center for Applied Medical Research (CIMA), Universidad de Navarra, Pamplona, Spain.,Ikerbasque (Basque Foundation for Science), Bilbao, Spain.,Department of Neurology, Clínica Universidad de Navarra, Universidad de Navarra, Pamplona, Spain
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10
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Navalpotro-Gomez I, Dacosta-Aguayo R, Molinet-Dronda F, Martin-Bastida A, Botas-Peñin A, Jimenez-Urbieta H, Delgado-Alvarado M, Gago B, Quiroga-Varela A, Rodriguez-Oroz MC. Nigrostriatal dopamine transporter availability, and its metabolic and clinical correlates in Parkinson's disease patients with impulse control disorders. Eur J Nucl Med Mol Imaging 2019; 46:2065-2076. [PMID: 31273436 DOI: 10.1007/s00259-019-04396-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Accepted: 06/10/2019] [Indexed: 01/11/2023]
Abstract
PURPOSE Previous studies in patients with Parkinson's disease (PD) and impulse control disorders (ICDs) have produced heterogeneous results regarding striatal dopamine transporter (DaT) binding and activity in the mesocorticolimbic network. Our aim here was to study the relationship between striatal DaT availability and cortical metabolism, as well as motor, behavioural and cognitive features of PD patients with ICD. METHODS In a group of PD patients with ICD (PD-ICD, n = 16) and 16 matched PD patients without ICD (PD-noICD, n = 16), DaT single-photon emission computed tomography (SPECT) imaging (DaTSCAN) was used to study DaT availability in predefined striatal volumes of interest (VOIs): putamen, caudate nucleus and ventral striatum (VS). In addition, the specific association of striatal DaT binding with cortical limbic and associative metabolic activity was evaluated by 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) in PD-ICD patients and investigated using statistical parametric mapping (SPM8). Finally, associations between DaT availability and motor, behavioural and cognitive features were assessed. RESULTS PD-ICD patients had a significantly lower DaT density in the VS than PD-noICD patients, which was inversely associated with ICD severity. Lower DaT availability in the VS was associated with lower FDG uptake in several cortical areas belonging to the limbic and associative circuits, and in other regions involved in reward and inhibition processes (p < 0.0001 uncorrected; k > 50 voxels). No significant results were observed using a higher conservative threshold (p < 0.05; FDR corrected). PD-ICD patients also displayed impairment in interference and attentional Stroop Task execution, and more anxiety, all associated with reduced DaT availability in the VS and caudate nucleus. CONCLUSIONS ICDs in PD patients are related to reduced DaT binding in the VS, which accounts for dysfunction in a complex cortico-subcortical network that involves areas of the mesolimbic and mesocortical systems, being associated with reward evaluation, salience attribution and inhibitory control processes.
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Affiliation(s)
- I Navalpotro-Gomez
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain
| | - R Dacosta-Aguayo
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain
| | - F Molinet-Dronda
- MicroPET Research Unit, Center for Applied Medical Research, Universidad de Navarra, Pamplona, Spain
| | - A Martin-Bastida
- Department of Neurology, Clínica Universidad de Navarra, Universidad de Navarra, Pamplona, Spain
| | - A Botas-Peñin
- Department of Biomedical Engineering, Tecnun, Universidad de Navarra, Pamplona, Spain
| | - H Jimenez-Urbieta
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain
| | - M Delgado-Alvarado
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain.,Neurology Department, Sierrallana Hospital, Torrelavega, Spain
| | - B Gago
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain
| | - A Quiroga-Varela
- Neurodegenerative Disorders Area, Biodonostia Health Research Institute, San Sebastian, Spain.,Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain.,Neuroscience Area, Center for Applied Medical Research (CIMA), Universidad de Navarra, Pamplona, Spain
| | - Maria C Rodriguez-Oroz
- Network Center for Biomedical Research in Neurodegenerative Diseases, CIBERNED, Madrid, Spain. .,Department of Neurology, Clínica Universidad de Navarra, Universidad de Navarra, Pamplona, Spain. .,Neuroscience Area, Center for Applied Medical Research (CIMA), Universidad de Navarra, Pamplona, Spain. .,Ikerbasque (Basque Foundation of Science), Bilbao, Spain. .,Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain.
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