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Manto M, Adamaszek M, Apps R, Carlson E, Guarque-Chabrera J, Heleven E, Kakei S, Khodakhah K, Kuo SH, Lin CYR, Joshua M, Miquel M, Mitoma H, Larry N, Péron JA, Pickford J, Schutter DJLG, Singh MK, Tan T, Tanaka H, Tsai P, Van Overwalle F, Yamashiro K. Consensus Paper: Cerebellum and Reward. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01702-0. [PMID: 38769243 DOI: 10.1007/s12311-024-01702-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/06/2024] [Indexed: 05/22/2024]
Abstract
Cerebellum is a key-structure for the modulation of motor, cognitive, social and affective functions, contributing to automatic behaviours through interactions with the cerebral cortex, basal ganglia and spinal cord. The predictive mechanisms used by the cerebellum cover not only sensorimotor functions but also reward-related tasks. Cerebellar circuits appear to encode temporal difference error and reward prediction error. From a chemical standpoint, cerebellar catecholamines modulate the rate of cerebellar-based cognitive learning, and mediate cerebellar contributions during complex behaviours. Reward processing and its associated emotions are tuned by the cerebellum which operates as a controller of adaptive homeostatic processes based on interoceptive and exteroceptive inputs. Lobules VI-VII/areas of the vermis are candidate regions for the cortico-subcortical signaling pathways associated with loss aversion and reward sensitivity, together with other nodes of the limbic circuitry. There is growing evidence that the cerebellum works as a hub of regional dysconnectivity across all mood states and that mental disorders involve the cerebellar circuitry, including mood and addiction disorders, and impaired eating behaviors where the cerebellum might be involved in longer time scales of prediction as compared to motor operations. Cerebellar patients exhibit aberrant social behaviour, showing aberrant impulsivity/compulsivity. The cerebellum is a master-piece of reward mechanisms, together with the striatum, ventral tegmental area (VTA) and prefrontal cortex (PFC). Critically, studies on reward processing reinforce our view that a fundamental role of the cerebellum is to construct internal models, perform predictions on the impact of future behaviour and compare what is predicted and what actually occurs.
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Affiliation(s)
- Mario Manto
- Service de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, 6000, Charleroi, Belgium.
- Service Des Neurosciences, Université de Mons, 7000, Mons, Belgium.
- Unité Des Ataxies Cérébelleuses, CHU-Charleroi, Service Des Neurosciences, University of Mons, 7000, Mons, Belgium.
| | - Michael Adamaszek
- Department of Clinical and Cognitive Neurorehabilitation, Klinik Bavaria Kreischa, 01731, Kreischa, Germany
| | - Richard Apps
- School of Physiology, Pharmacology & Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, BS8 1TD, UK
| | - Erik Carlson
- Department of Psychiatry and Behavioural Sciences, University of Washington, Seattle, WA, 98108, USA
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, 98108, USA
| | - Julian Guarque-Chabrera
- Área de Psicobiología, Facultat de Ciències de La Salut, Universitat Jaume I, 12071, Castellón de La Plana, Spain
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Elien Heleven
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050, Brussels, Belgium
| | - Shinji Kakei
- Department of Anatomy and Physiology, Jissen Women's University, Tokyo, 191-8510, Japan
| | - Kamran Khodakhah
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Sheng-Han Kuo
- Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Initiative of Columbia Ataxia and Tremor, Columbia University Medical Center, New York, NY, 10032, USA
| | - Chi-Ying R Lin
- Alzheimer's Disease and Memory Disorders Center, Department of Neurology, Baylor College of Medicine, Houston, 77030 TX, USA
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, 77030 TX, USA
| | - Mati Joshua
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - Marta Miquel
- Área de Psicobiología, Facultat de Ciències de La Salut, Universitat Jaume I, 12071, Castellón de La Plana, Spain
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo, 160-8402, Japan
| | - Noga Larry
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - Julie Anne Péron
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology and Educational Sciences, University of Geneva, 1205, Geneva, Switzerland
| | - Jasmine Pickford
- School of Physiology, Pharmacology & Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, BS8 1TD, UK
| | - Dennis J L G Schutter
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, The Netherlands
| | - Manpreet K Singh
- Psychiatry and Behavioral Sciences, University of California Davis, 2230 Stockton Blvd, Sacramento, CA, 95817, USA
| | - Tommy Tan
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
| | - Hirokazu Tanaka
- Faculty of Information Technology, Tokyo City University, Tokyo, 158-8557, Japan
| | - Peter Tsai
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
- Departments of Neuroscience, Pediatrics, Psychiatry, UT Southwestern Medical Center, Dallas, TX, 75235, USA
| | - Frank Van Overwalle
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050, Brussels, Belgium
| | - Kunihiko Yamashiro
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
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Kruithof ES, Klaus J, Schutter DJLG. The human cerebellum in reward anticipation and reward outcome processing: An activation likelihood estimation meta-analysis. Neurosci Biobehav Rev 2023; 149:105171. [PMID: 37060968 DOI: 10.1016/j.neubiorev.2023.105171] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 03/10/2023] [Accepted: 04/11/2023] [Indexed: 04/17/2023]
Abstract
The cerebellum generates internal prediction models and actively compares anticipated and actual outcomes in order to reach a desired end state. In this process, reward can serve as a reinforcer that shapes internal prediction models, enabling context-appropriate behavior. While the involvement of the cerebellum in reward processing has been established in animals, there is no detailed account of which cerebellar regions are involved in reward anticipation and reward outcome processing in humans. To this end, an activation likelihood estimation meta-analysis of functional neuroimaging studies was performed to investigate cerebellar functional activity patterns associated with reward anticipation and reward outcome processing in healthy adults. Results showed that reward anticipation (k=31) was associated with regional activity in the bilateral anterior lobe, bilateral lobule VI, left Crus I and the posterior vermis, while reward outcome (k=16) was associated with regional activity in the declive and left lobule VI. The findings of this meta-analysis show distinct involvement of the cerebellum in reward anticipation and reward outcome processing as part of a predictive coding routine.
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Affiliation(s)
- Eline S Kruithof
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands.
| | - Jana Klaus
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands
| | - Dennis J L G Schutter
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, the Netherlands
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Siciliano L, Olivito G, Lupo M, Urbini N, Gragnani A, Saettoni M, Delle Chiaie R, Leggio M. The role of the cerebellum in sequencing and predicting social and non-social events in patients with bipolar disorder. Front Cell Neurosci 2023; 17:1095157. [PMID: 36874211 PMCID: PMC9974833 DOI: 10.3389/fncel.2023.1095157] [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: 11/10/2022] [Accepted: 01/31/2023] [Indexed: 02/17/2023] Open
Abstract
Introduction Advances in the operational mode of the cerebellum indicate a role in sequencing and predicting non-social and social events, crucial for individuals to optimize high-order functions, such as Theory of Mind (ToM). ToM deficits have been described in patients with remitted bipolar disorders (BD). The literature on BD patients' pathophysiology reports cerebellar alterations; however, sequential abilities have never been investigated and no study has previously focused on prediction abilities, which are needed to properly interpret events and to adapt to changes. Methods To address this gap, we compared the performance of BD patients in the euthymic phase with healthy controls using two tests that require predictive processing: a ToM test that require implicit sequential processing and a test that explicitly assesses sequential abilities in non-ToM functions. Additionally, patterns of cerebellar gray matter (GM) alterations were compared between BD patients and controls using voxel-based morphometry. Results Impaired ToM and sequential skills were detected in BD patients, specifically when tasks required a greater predictive load. Behavioral performances might be consistent with patterns of GM reduction in cerebellar lobules Crus I-II, which are involved in advanced human functions. Discussion These results highlight the importance of deepening the cerebellar role in sequential and prediction abilities in patients with BD.
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Affiliation(s)
- Libera Siciliano
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Ataxia Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Giusy Olivito
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Ataxia Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Michela Lupo
- Servizio di Tutela della Salute Mentale e Riabilitazione dell'Età Evolutiva ASL, Rome, Italy
| | - Nicole Urbini
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Ataxia Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy
| | - Andrea Gragnani
- Scuola di Psicoterapia Cognitiva SPC, Grosseto, Italy.,Associazione Psicologia Cognitiva (APC)/Scuola di Psicoterapia Cognitiva (SPC), Rome, Italy
| | - Marco Saettoni
- Scuola di Psicoterapia Cognitiva SPC, Grosseto, Italy.,Unità Funzionale Salute Mentale Adulti ASL Toscana Nord-Ovest Valle del Serchio, Pisa, Italy
| | - Roberto Delle Chiaie
- Department of Neuroscience and Mental Health-Policlinico Umberto I Hospital, Sapienza University of Rome, Rome, Italy
| | - Maria Leggio
- Department of Psychology, Sapienza University of Rome, Rome, Italy.,Ataxia Laboratory, Fondazione Santa Lucia IRCCS, Rome, Italy
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Stoyanov D, Khorev V, Paunova R, Kandilarova S, Simeonova D, Badarin A, Hramov A, Kurkin S. Resting-State Functional Connectivity Impairment in Patients with Major Depressive Episode. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14045. [PMID: 36360924 PMCID: PMC9656256 DOI: 10.3390/ijerph192114045] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/14/2022] [Accepted: 10/25/2022] [Indexed: 06/16/2023]
Abstract
AIM This study aims to develop new approaches to characterize brain networks to potentially contribute to a better understanding of mechanisms involved in depression. METHOD AND SUBJECTS We recruited 90 subjects: 49 healthy controls (HC) and 41 patients with a major depressive episode (MDE). All subjects underwent clinical evaluation and functional resting-state MRI. The data were processed investigating functional connectivity network measures across the two groups using Brain Connectivity Toolbox. The statistical inferences were developed at a functional network level, using a false discovery rate method. Linear discriminant analysis was used to differentiate between the two groups. RESULTS AND DISCUSSION Significant differences in functional connectivity (FC) between depressed patients vs. healthy controls was demonstrated, with brain regions including the lingual gyrus, cerebellum, midcingulate cortex and thalamus more prominent in healthy subjects as compared to depression where the orbitofrontal cortex emerged as a key node. Linear discriminant analysis demonstrated that full-connectivity matrices were the most precise in differentiating between depression vs. health subjects. CONCLUSION The study provides supportive evidence for impaired functional connectivity networks in MDE patients.
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Affiliation(s)
- Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University Plovdiv, 4002 Plovdiv, Bulgaria
| | - Vladimir Khorev
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University Plovdiv, 4002 Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University Plovdiv, 4002 Plovdiv, Bulgaria
| | - Denitsa Simeonova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University Plovdiv, 4002 Plovdiv, Bulgaria
| | - Artem Badarin
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia
- Neuroscience Research Institute, Samara State Medical University, 443001 Samara, Russia
| | - Alexander Hramov
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia
- Neuroscience Research Institute, Samara State Medical University, 443001 Samara, Russia
| | - Semen Kurkin
- Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, 236041 Kaliningrad, Russia
- Neuroscience Research Institute, Samara State Medical University, 443001 Samara, Russia
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