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Matar E, Tinazzi M, Edwards MJ, Bhatia KP. Functional Movement Disorder as a Prodromal Symptom of Parkinson's Disease-Clinical and Pathophysiological Insights. Mov Disord 2024. [PMID: 39119738 DOI: 10.1002/mds.29958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/11/2024] [Accepted: 07/16/2024] [Indexed: 08/10/2024] Open
Abstract
Functional movement disorder (FMD) is a common manifestation of functional neurological disorder. FMD can occur alongside other neurological conditions, but especially in patients with established Parkinson's disease (PD). An interesting observation emerging across cohort studies and case series is that FMD can precede the diagnosis of PD, suggesting that FMD may itself be a prodromal symptom of neurodegeneration. Such a notion would have significant clinical implications for the assessment and management of people with FMD, particularly with respect to decisions around the use of auxiliary investigations, counselling, and follow-up. In this Viewpoint we review the evidence concerning the temporal relationship between FMD and PD. We discuss the potential explanations and mechanisms for FMD as a prodromal symptom of PD, and highlight clinical considerations and important outstanding questions in the field. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Elie Matar
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, London, United Kingdom
- Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Michele Tinazzi
- Neurology Unit, Movement Disorders Division, Department of Neurosciences Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Mark J Edwards
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- Department of Neuropsychiatry, Maudsley Hospital, London, United Kingdom
| | - Kailash P Bhatia
- UCL Queen Square Institute of Neurology Department of Clinical and Movement Neurosciences, London, United Kingdom
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2
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Heng JG, Zhang J, Bonetti L, Lim WPH, Vuust P, Agres K, Chen SHA. Understanding music and aging through the lens of Bayesian inference. Neurosci Biobehav Rev 2024; 163:105768. [PMID: 38908730 DOI: 10.1016/j.neubiorev.2024.105768] [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] [Received: 01/09/2024] [Revised: 06/05/2024] [Accepted: 06/10/2024] [Indexed: 06/24/2024]
Abstract
Bayesian inference has recently gained momentum in explaining music perception and aging. A fundamental mechanism underlying Bayesian inference is the notion of prediction. This framework could explain how predictions pertaining to musical (melodic, rhythmic, harmonic) structures engender action, emotion, and learning, expanding related concepts of music research, such as musical expectancies, groove, pleasure, and tension. Moreover, a Bayesian perspective of music perception may shed new insights on the beneficial effects of music in aging. Aging could be framed as an optimization process of Bayesian inference. As predictive inferences refine over time, the reliance on consolidated priors increases, while the updating of prior models through Bayesian inference attenuates. This may affect the ability of older adults to estimate uncertainties in their environment, limiting their cognitive and behavioral repertoire. With Bayesian inference as an overarching framework, this review synthesizes the literature on predictive inferences in music and aging, and details how music could be a promising tool in preventive and rehabilitative interventions for older adults through the lens of Bayesian inference.
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Affiliation(s)
- Jiamin Gladys Heng
- School of Computer Science and Engineering, Nanyang Technological University, Singapore.
| | - Jiayi Zhang
- Interdisciplinary Graduate Program, Nanyang Technological University, Singapore; School of Social Sciences, Nanyang Technological University, Singapore; Centre for Research and Development in Learning, Nanyang Technological University, Singapore
| | - Leonardo Bonetti
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus, Aalborg, Denmark; Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, United Kingdom; Department of Psychiatry, University of Oxford, United Kingdom; Department of Psychology, University of Bologna, Italy
| | | | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music, Aarhus, Aalborg, Denmark
| | - Kat Agres
- Centre for Music and Health, National University of Singapore, Singapore; Yong Siew Toh Conservatory of Music, National University of Singapore, Singapore
| | - Shen-Hsing Annabel Chen
- School of Social Sciences, Nanyang Technological University, Singapore; Centre for Research and Development in Learning, Nanyang Technological University, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; National Institute of Education, Nanyang Technological University, Singapore.
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3
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Schoeller F, Jain A, Pizzagalli DA, Reggente N. The neurobiology of aesthetic chills: How bodily sensations shape emotional experiences. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024; 24:617-630. [PMID: 38383913 PMCID: PMC11233292 DOI: 10.3758/s13415-024-01168-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/21/2024] [Indexed: 02/23/2024]
Abstract
The phenomenon of aesthetic chills-shivers and goosebumps associated with either rewarding or threatening stimuli-offers a unique window into the brain basis of conscious reward because of their universal nature and simultaneous subjective and physical counterparts. Elucidating the neural mechanisms underlying aesthetic chills can reveal fundamental insights about emotion, consciousness, and the embodied mind. What is the precise timing and mechanism of bodily feedback in emotional experience? How are conscious feelings and motivations generated from interoceptive predictions? What is the role of uncertainty and precision signaling in shaping emotions? How does the brain distinguish and balance processing of rewards versus threats? We review neuroimaging evidence and highlight key questions for understanding how bodily sensations shape conscious feelings. This research stands to advance models of brain-body interactions shaping affect and may lead to novel nonpharmacological interventions for disorders of motivation and pleasure.
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Affiliation(s)
- Felix Schoeller
- Institute for Advanced Consciousness Studies, Santa Monica, CA, USA.
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Abhinandan Jain
- Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Nicco Reggente
- Institute for Advanced Consciousness Studies, Santa Monica, CA, USA
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Garner KG, Leow LA, Uchida A, Nolan C, Jensen O, Garrido MI, Dux PE. Assessing the influence of dopamine and mindfulness on the formation of routines in visual search. Psychophysiology 2024; 61:e14571. [PMID: 38679809 DOI: 10.1111/psyp.14571] [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: 12/04/2023] [Revised: 02/08/2024] [Accepted: 03/06/2024] [Indexed: 05/01/2024]
Abstract
Given experience in cluttered but stable visual environments, our eye-movements form stereotyped routines that sample task-relevant locations, while not mixing-up routines between similar task-settings. Both dopamine signaling and mindfulness have been posited as factors that influence the formation of such routines, yet quantification of their impact remains to be tested in healthy humans. Over two sessions, participants searched through grids of doors to find hidden targets, using a gaze-contingent display. Within each session, door scenes appeared in either one of two colors, with each color signaling a differing set of likely target locations. We derived measures for how well target locations were learned (target-accuracy), how routine were sets of eye-movements (stereotypy), and the extent of interference between the two scenes (setting-accuracy). Participants completed two sessions, where they were administered either levodopa (dopamine precursor) or placebo (vitamin C), under double-blind counterbalanced conditions. Dopamine and trait mindfulness (assessed by questionnaire) interacted to influence both target-accuracy and stereotypy. Increasing dopamine improved accuracy and reduced stereotypy for high mindfulness scorers, but induced the opposite pattern for low mindfulness scorers. Dopamine also disrupted setting-accuracy invariant to mindfulness. Our findings show that mindfulness modulates the impact of dopamine on the target-accuracy and stereotypy of eye-movement routines, whereas increasing dopamine promotes interference between task-settings, regardless of mindfulness. These findings provide a link between non-human and human models regarding the influence of dopamine on the formation of task-relevant eye-movement routines and provide novel insights into behavior-trait factors that modulate the use of experience when building adaptive repertoires.
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Affiliation(s)
- Kelly G Garner
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
| | - Li-Ann Leow
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
| | - Aya Uchida
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
| | - Christopher Nolan
- School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Ole Jensen
- Centre for Human Brain Health, University of Birmingham, Birmingham, UK
| | - Marta I Garrido
- Melbourne School of Psychological Sciences and Graeme Clark Institute for Biomedical Engineering, University of Melbourne, Melbourne, Victoria, Australia
| | - Paul E Dux
- School of Psychology, University of Queensland, Saint Lucia, Queensland, Australia
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5
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Mattioni L, Sestieri C, Perrucci MG, Spada MM, Ferri F. The role of interoceptive awareness in shaping the relationship between desire thinking and cigarette consumption. Int J Psychophysiol 2024; 201:112369. [PMID: 38768660 DOI: 10.1016/j.ijpsycho.2024.112369] [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] [Received: 01/16/2024] [Revised: 04/22/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024]
Abstract
Interoception, the ability to sense and interpret bodily sensations, has recently emerged as a crucial factor in substance use disorders, including smoking. However, the role of interoceptive awareness in tobacco use remains poorly understood. The relationship between interoceptive ability and addictive behavior is complex, and attempting to conceptualize it as a linear association is unlikely to fully capture the complexity of the mechanisms underlying cravings and urges. We hypothesized that the role played by interoceptive awareness in tobacco use is deeply linked to desire thinking, that is, the conscious and voluntary cognitive process orienting to prefigure images, information, and memories about positive target-related experiences. Desire thinking is typically observed in addiction, where it may contribute to interpreting specific bodily sensations, such as the perceived need for a cigarette. From this perspective, the physiological impact and inclination toward desire thinking contribute to a higher daily cigarette consumption, particularly in situations of low interoceptive awareness. To test this hypothesis, we assessed the physiological activation, the tendency toward desire thinking about smoking, cigarette consumption, and the interoceptive abilities of smoking volunteers. Through a moderation analysis, we showed that desire thinking about smoking predicts a higher number of cigarettes per day in individuals with lower interoceptive awareness (p < .05). These findings suggest that the relationship between desire thinking and interoceptive awareness is a fundamental component of tobacco use, highlighting the importance of taking into account the bodily feedback deriving from the cognitive representation of smoking in addiction research and therapy.
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Affiliation(s)
- Lorenzo Mattioni
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, G. d'Annunzio University, Chieti, Italy.
| | - Carlo Sestieri
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, G. d'Annunzio University, Chieti, Italy
| | - Mauro G Perrucci
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, G. d'Annunzio University, Chieti, Italy
| | | | - Francesca Ferri
- Department of Neuroscience, Imaging and Clinical Sciences - and ITAB, Institute for Advanced Biomedical Technologies, G. d'Annunzio University, Chieti, Italy
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Parvizi-Wayne D, Sandved-Smith L, Pitliya RJ, Limanowski J, Tufft MRA, Friston KJ. Forgetting ourselves in flow: an active inference account of flow states and how we experience ourselves within them. Front Psychol 2024; 15:1354719. [PMID: 38887627 PMCID: PMC11182004 DOI: 10.3389/fpsyg.2024.1354719] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/26/2024] [Indexed: 06/20/2024] Open
Abstract
Flow has been described as a state of optimal performance, experienced universally across a broad range of domains: from art to athletics, gaming to writing. However, its phenomenal characteristics can, at first glance, be puzzling. Firstly, individuals in flow supposedly report a loss of self-awareness, even though they perform in a manner which seems to evince their agency and skill. Secondly, flow states are felt to be effortless, despite the prerequisite complexity of the tasks that engender them. In this paper, we unpick these features of flow, as well as others, through the active inference framework, which posits that action and perception are forms of active Bayesian inference directed at sustained self-organisation; i.e., the minimisation of variational free energy. We propose that the phenomenology of flow is rooted in the deployment of high precision weight over (i) the expected sensory consequences of action and (ii) beliefs about how action will sequentially unfold. This computational mechanism thus draws the embodied cognitive system to minimise the ensuing (i.e., expected) free energy through the exploitation of the pragmatic affordances at hand. Furthermore, given the challenging dynamics the flow-inducing situation presents, attention must be wholly focussed on the unfolding task whilst counterfactual planning is restricted, leading to the attested loss of the sense of self-as-object. This involves the inhibition of both the sense of self as a temporally extended object and higher-order, meta-cognitive forms of self-conceptualisation. Nevertheless, we stress that self-awareness is not entirely lost in flow. Rather, it is pre-reflective and bodily. Our approach to bodily-action-centred phenomenology can be applied to similar facets of seemingly agentive experience beyond canonical flow states, providing insights into the mechanisms of so-called selfless experiences, embodied expertise and wellbeing.
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Affiliation(s)
- Darius Parvizi-Wayne
- Department of Experimental Psychology, University College London, London, United Kingdom
| | - Lars Sandved-Smith
- Monash Centre for Consciousness and Contemplative Studies, Monash University, Clayton, VIC, Australia
| | - Riddhi J. Pitliya
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
- VERSES AI Research Lab, Los Angeles, CA, United States
| | - Jakub Limanowski
- Institute of Psychology, University of Greifswald, Greifswald, Germany
| | - Miles R. A. Tufft
- Department of Experimental Psychology, University College London, London, United Kingdom
| | - Karl J. Friston
- VERSES AI Research Lab, Los Angeles, CA, United States
- Queen Square Institute of Neurology, University College London, London, United Kingdom
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Fermin ASR, Sasaoka T, Maekawa T, Ono K, Chan HL, Yamawaki S. Insula-cortico-subcortical networks predict interoceptive awareness and stress resilience. Asian J Psychiatr 2024; 95:103991. [PMID: 38484483 DOI: 10.1016/j.ajp.2024.103991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/25/2024] [Accepted: 02/28/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Interoception, the neural sensing of visceral signals, and interoceptive awareness (IA), the conscious perception of interoception, are crucial for life survival functions and mental health. Resilience, the capacity to overcome adversity, has been associated with reduced interoceptive disturbances. Here, we sought evidence for our Insula Modular Active Control (IMAC) model that suggest that the insula, a brain region specialized in the processing of interoceptive information, realizes IA and contributes to resilience and mental health via cortico-subcortical connections. METHODS 64 healthy participants (32 females; ages 18-34 years) answered questionnaires that assess IA and resilience. Mental health was evaluated with the Beck Depression Inventory II that assesses depressive mood. Participants also underwent a 15 minute resting-state functional resonance imaging session. Pearson correlations and mediation analyses were used to investigate the relationship between IA and resilience and their contributions to depressive mood. We then performed insula seed-based functional connectivity analyzes to identify insula networks involved in IA, resilience and depressive mood. RESULTS We first demonstrated that resilience mediates the relationship between IA and depressive mood. Second, shared and distinct intra-insula, insula-cortical and insula-subcortical networks were associated with IA, resilience and also predicted the degree of experienced depressive mood. Third, while resilience was associated with stronger insula-precuneus, insula-cerebellum and insula-prefrontal networks, IA was linked with stronger intra-insula, insula-striatum and insula-motor networks. CONCLUSIONS Our findings help understand the roles of insula-cortico-subcortical networks in IA and resilience. These results also highlight the potential use of insula networks as biomarkers for depression prediction.
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Affiliation(s)
- Alan S R Fermin
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan.
| | - Takafumi Sasaoka
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Toru Maekawa
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Kentaro Ono
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Hui-Ling Chan
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Shigeto Yamawaki
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
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White B, Clark A, Miller M. Digital Being: social media and the predictive mind. Neurosci Conscious 2024; 2024:niae008. [PMID: 38504826 PMCID: PMC10949958 DOI: 10.1093/nc/niae008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 12/27/2023] [Accepted: 02/22/2024] [Indexed: 03/21/2024] Open
Abstract
Social media is implicated today in an array of mental health concerns. While concerns around social media have become mainstream, little is known about the specific cognitive mechanisms underlying the correlations seen in these studies or why we find it so hard to stop engaging with these platforms when things obviously begin to deteriorate for us. New advances in computational neuroscience, however, are now poised to shed light on this matter. In this paper, we approach the phenomenon of social media addiction through the lens of the active inference framework. According to this framework, predictive agents like us use a 'generative model' of the world to predict our own incoming sense data and act to minimize any discrepancy between the prediction and incoming signal (prediction error). In order to live well and be able to act effectively to minimize prediction error, it is vital that agents like us have a generative model, which not only accurately reflects the regularities of our complex environment but is also flexible and dynamic and able to stay accurate in volatile and turbulent circumstances. In this paper, we propose that some social media platforms are a spectacularly effective way of warping an agent's generative model and of arresting the model's ability to flexibly track and adapt to changes in the environment. We go on to investigate cases of digital tech, which do not have these adverse effects and suggest-based on the active inference framework-some ways to understand why some forms of digital technology pose these risks, while others do not.
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Affiliation(s)
- Ben White
- School of Media, Arts and Humanities, University of Sussex, Arts A07, Brighton BN1 9RH, United Kingdom
| | - Andy Clark
- School of Media, Arts and Humanities, University of Sussex, Arts A07, Brighton BN1 9RH, United Kingdom
- Department of Philosophy, Macquarie University, Macquarie University Wallumattagal Campus Macquarie Park, Sydney, NSW 2109, Australia
| | - Mark Miller
- Monash Centre for Consciousness and Contemplative Studies, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia
- Psychology Department, University of Toronto, 100 St. George Street, 4th Floor, Sidney Smith Hall, Toronto, ON M5S 3G3, Canada
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Sladky R, Kargl D, Haubensak W, Lamm C. An active inference perspective for the amygdala complex. Trends Cogn Sci 2024; 28:223-236. [PMID: 38103984 DOI: 10.1016/j.tics.2023.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/14/2023] [Accepted: 11/16/2023] [Indexed: 12/19/2023]
Abstract
The amygdala is a heterogeneous network of subcortical nuclei with central importance in cognitive and clinical neuroscience. Various experimental designs in human psychology and animal model research have mapped multiple conceptual frameworks (e.g., valence/salience and decision making) to ever more refined amygdala circuitry. However, these predominantly bottom up-driven accounts often rely on interpretations tailored to a specific phenomenon, thus preventing comprehensive and integrative theories. We argue here that an active inference model of amygdala function could unify these fractionated approaches into an overarching framework for clearer empirical predictions and mechanistic interpretations. This framework embeds top-down predictive models, informed by prior knowledge and belief updating, within a dynamical system distributed across amygdala circuits in which self-regulation is implemented by continuously tracking environmental and homeostatic demands.
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Affiliation(s)
- Ronald Sladky
- Social, Cognitive, and Affective Neuroscience Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria; Vienna Cognitive Science Hub, University of Vienna, 1010 Vienna, Austria.
| | - Dominic Kargl
- Department of Neuronal Cell Biology, Center for Brain Research, Medical University of Vienna, Spitalgasse 4, 1090 Vienna, Austria
| | - Wulf Haubensak
- Department of Neuronal Cell Biology, Center for Brain Research, Medical University of Vienna, Spitalgasse 4, 1090 Vienna, Austria; Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Campus Vienna Biocenter 1, 1030 Vienna, Austria
| | - Claus Lamm
- Social, Cognitive, and Affective Neuroscience Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria; Vienna Cognitive Science Hub, University of Vienna, 1010 Vienna, Austria
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Sadibolova R, DiMarco EK, Jiang A, Maas B, Tatter SB, Laxton A, Kishida KT, Terhune DB. Sub-second and multi-second dopamine dynamics underlie variability in human time perception. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.09.24302276. [PMID: 38370629 PMCID: PMC10871373 DOI: 10.1101/2024.02.09.24302276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Timing behaviour and the perception of time are fundamental to cognitive and emotional processes in humans. In non-human model organisms, the neuromodulator dopamine has been associated with variations in timing behaviour, but the connection between variations in dopamine levels and the human experience of time has not been directly assessed. Here, we report how dopamine levels in human striatum, measured with sub-second temporal resolution during awake deep brain stimulation surgery, relate to participants' perceptual judgements of time intervals. Fast, phasic, dopaminergic signals were associated with underestimation of temporal intervals, whereas slower, tonic, decreases in dopamine were associated with poorer temporal precision. Our findings suggest a delicate and complex role for the dynamics and tone of dopaminergic signals in the conscious experience of time in humans.
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Affiliation(s)
- Renata Sadibolova
- Department of Psychology, Goldsmiths, University of London; London SE14 6NW, UK
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London; London SE5 8AB, UK
- School of Psychology, University of Roehampton; London SW15 4JD, UK
| | - Emily K. DiMarco
- Neuroscience Graduate Program, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Department of Translational Neuroscience, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Angela Jiang
- Department of Translational Neuroscience, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Benjamin Maas
- Department of Translational Neuroscience, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Virginia Tech – Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Department of Biomedical Engineering, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Stephen B. Tatter
- Department of Neurosurgery, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Adrian Laxton
- Department of Neurosurgery, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Kenneth T. Kishida
- Neuroscience Graduate Program, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Department of Translational Neuroscience, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Virginia Tech – Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Department of Biomedical Engineering, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
- Department of Neurosurgery, Wake Forest School of Medicine; Winston-Salem, NC, 27157, USA
| | - Devin B. Terhune
- Department of Psychology, Goldsmiths, University of London; London SE14 6NW, UK
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London; London SE5 8AB, UK
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Krupnik V, Danilova N. To be or not to be: The active inference of suicide. Neurosci Biobehav Rev 2024; 157:105531. [PMID: 38176631 DOI: 10.1016/j.neubiorev.2023.105531] [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] [Received: 09/12/2023] [Revised: 12/27/2023] [Accepted: 12/29/2023] [Indexed: 01/06/2024]
Abstract
Suicide presents an apparent paradox as a behavior whose motivation is not obvious since its outcome is non-existence and cannot be experienced. To address this paradox, we propose to frame suicide in the integrated theory of stress and active inference. We present an active inference-based cognitive model of suicide as a type of stress response hanging in cognitive balance between predicting self-preservation and self-destruction. In it, self-efficacy emerges as a meta-cognitive regulator that can bias the model toward either survival or suicide. The model suggests conditions under which cognitive homeostasis can override physiological homeostasis in motivating self-destruction. We also present a model proto-suicidal behavior, programmed cell death (apoptosis), in active inference terms to illustrate how an active inference model of self-destruction can be embodied in molecular mechanisms and to offer a hypothesis on another puzzle of suicide: why only humans among brain-endowed animals are known to practice it.
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Affiliation(s)
- Valery Krupnik
- Department of Mental Health, Naval Hospital Camp Pendleton, Camp Pendleton, CA, USA.
| | - Nadia Danilova
- Department of Cell Biology, UCLA (retired), Los Angeles, CA, USA
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12
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Krupnik V. I like therefore I can, and I can therefore I like: the role of self-efficacy and affect in active inference of allostasis. Front Neural Circuits 2024; 18:1283372. [PMID: 38322807 PMCID: PMC10839114 DOI: 10.3389/fncir.2024.1283372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 01/02/2024] [Indexed: 02/08/2024] Open
Abstract
Active inference (AIF) is a theory of the behavior of information-processing open dynamic systems. It describes them as generative models (GM) generating inferences on the causes of sensory input they receive from their environment. Based on these inferences, GMs generate predictions about sensory input. The discrepancy between a prediction and the actual input results in prediction error. GMs then execute action policies predicted to minimize the prediction error. The free-energy principle provides a rationale for AIF by stipulating that information-processing open systems must constantly minimize their free energy (through suppressing the cumulative prediction error) to avoid decay. The theory of homeostasis and allostasis has a similar logic. Homeostatic set points are expectations of living organisms. Discrepancies between set points and actual states generate stress. For optimal functioning, organisms avoid stress by preserving homeostasis. Theories of AIF and homeostasis have recently converged, with AIF providing a formal account for homeo- and allostasis. In this paper, we present bacterial chemotaxis as molecular AIF, where mutual constraints by extero- and interoception play an essential role in controlling bacterial behavior supporting homeostasis. Extending this insight to the brain, we propose a conceptual model of the brain homeostatic GM, in which we suggest partition of the brain GM into cognitive and physiological homeostatic GMs. We outline their mutual regulation as well as their integration based on the free-energy principle. From this analysis, affect and self-efficacy emerge as the main regulators of the cognitive homeostatic GM. We suggest fatigue and depression as target neurocognitive phenomena for studying the neural mechanisms of such regulation.
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Affiliation(s)
- Valery Krupnik
- Department of Mental Health, Naval Hospital Camp Pendleton, Camp Pendleton, Oceanside, CA, United States
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13
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Luu P, Tucker DM, Friston K. From active affordance to active inference: vertical integration of cognition in the cerebral cortex through dual subcortical control systems. Cereb Cortex 2024; 34:bhad458. [PMID: 38044461 DOI: 10.1093/cercor/bhad458] [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: 07/17/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 12/05/2023] Open
Abstract
In previous papers, we proposed that the dorsal attention system's top-down control is regulated by the dorsal division of the limbic system, providing a feedforward or impulsive form of control generating expectancies during active inference. In contrast, we proposed that the ventral attention system is regulated by the ventral limbic division, regulating feedback constraints and error-correction for active inference within the neocortical hierarchy. Here, we propose that these forms of cognitive control reflect vertical integration of subcortical arousal control systems that evolved for specific forms of behavior control. The feedforward impetus to action is regulated by phasic arousal, mediated by lemnothalamic projections from the reticular activating system of the lower brainstem, and then elaborated by the hippocampus and dorsal limbic division. In contrast, feedback constraint-based on environmental requirements-is regulated by the tonic activation furnished by collothalamic projections from the midbrain arousal control centers, and then sustained and elaborated by the amygdala, basal ganglia, and ventral limbic division. In an evolutionary-developmental analysis, understanding these differing forms of active affordance-for arousal and motor control within the subcortical vertebrate neuraxis-may help explain the evolution of active inference regulating the cognition of expectancy and error-correction within the mammalian 6-layered neocortex.
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Affiliation(s)
- Phan Luu
- Brain Electrophysiology Laboratory Company, Riverfront Research Park, 1776 Millrace Dr., Eugene, OR 97403, United States
- Department of Psychology, University of Oregon, Eugene, OR 97403, United States
| | - Don M Tucker
- Brain Electrophysiology Laboratory Company, Riverfront Research Park, 1776 Millrace Dr., Eugene, OR 97403, United States
- Department of Psychology, University of Oregon, Eugene, OR 97403, United States
| | - Karl Friston
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London WC1N 3AR, United Kingdom
- VERSES AI Research Lab, Los Angeles, CA 90016, USA
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14
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Pando-Naude V, Matthews TE, Højlund A, Jakobsen S, Østergaard K, Johnsen E, Garza-Villarreal EA, Witek MAG, Penhune V, Vuust P. Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms. Eur J Neurosci 2024; 59:101-118. [PMID: 37724707 DOI: 10.1111/ejn.16128] [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: 03/30/2023] [Revised: 07/12/2023] [Accepted: 08/08/2023] [Indexed: 09/21/2023]
Abstract
The pleasurable urge to move to music (PLUMM) activates motor and reward areas of the brain and is thought to be driven by predictive processes. Dopamine in motor and limbic networks is implicated in beat-based timing and music-induced pleasure, suggesting a central role of basal ganglia (BG) dopaminergic systems in PLUMM. This study tested this hypothesis by comparing PLUMM in participants with Parkinson's disease (PD), age-matched controls, and young controls. Participants listened to musical sequences with varying rhythmic and harmonic complexity (low, medium and high), and rated their experienced pleasure and urge to move to the rhythm. In line with previous results, healthy younger participants showed an inverted U-shaped relationship between rhythmic complexity and ratings, with preference for medium complexity rhythms, while age-matched controls showed a similar, but weaker, inverted U-shaped response. Conversely, PD showed a significantly flattened response for both the urge to move and pleasure. Crucially, this flattened response could not be attributed to differences in rhythm discrimination and did not reflect an overall decrease in ratings. For harmonic complexity, PD showed a negative linear pattern for both the urge to move and pleasure while healthy age-matched controls showed the same pattern for pleasure and an inverted U for the urge to move. This contrasts with the pattern observed in young healthy controls in previous studies, suggesting that both healthy aging and PD also influence affective responses to harmonic complexity. Together, these results support the role of dopamine within cortico-striatal circuits in the predictive processes that form the link between the perceptual processing of rhythmic patterns and the affective and motor responses to rhythmic music.
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Affiliation(s)
- Victor Pando-Naude
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Tomas Edward Matthews
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Andreas Højlund
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University, Aarhus, Denmark
| | - Sebastian Jakobsen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University, Aarhus, Denmark
| | - Karen Østergaard
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
- Sano, Private Hospital, Aarhus, Denmark
| | - Erik Johnsen
- Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Eduardo A Garza-Villarreal
- Instituto de Neurobiología, Universidad Nacional Autónoma de México (UNAM), Juriquilla, Querétaro, Mexico
| | - Maria A G Witek
- Department of Music School of Languages, Cultures, Art History and Music, University of Birmingham, Birmingham, UK
| | - Virginia Penhune
- Department of Psychology, Concordia University, Montreal, Quebec, Canada
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
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15
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Abstract
BACKGROUND AND HYPOTHESIS The neurocomputational framework of predictive processing (PP) provides a promising approach to explaining delusions, a key symptom of psychotic disorders. According to PP, the brain makes inferences about the world by weighing prior beliefs against the available sensory data. Mismatches between prior beliefs and sensory data result in prediction errors that may update the brain's model of the world. Psychosis has been associated with reduced weighting of priors relative to the sensory data. However, delusional beliefs are highly resistant to change, suggesting increased rather than decreased weighting of priors. We propose that this "delusion paradox" can be resolved within a hierarchical PP model: Reduced weighting of prior beliefs at low hierarchical levels may be compensated by an increased influence of higher-order beliefs represented at high hierarchical levels, including delusional beliefs. This may sculpt perceptual processing into conformity with delusions and foster their resistance to contradictory evidence. STUDY DESIGN We review several lines of experimental evidence on low- and high-level processes, and their neurocognitive underpinnings in delusion-related phenotypes and link them to predicted processing. STUDY RESULTS The reviewed evidence supports the notion of decreased weighting of low-level priors and increased weighting of high-level priors, in both delusional and delusion-prone individuals. Moreover, we highlight the role of prefrontal cortex as a neural basis for the increased weighting of high-level prior beliefs and discuss possible clinical implications of the proposed hierarchical predictive-processing model. CONCLUSIONS Our review suggests the delusion paradox can be resolved within a hierarchical PP model.
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Affiliation(s)
- Predrag Petrovic
- Center for Psychiatry Research (CPF), Center for Cognitive and Computational Neuropsychiatry (CCNP), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Philipp Sterzer
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
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16
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Wilkinson CS, Luján MÁ, Hales C, Costa KM, Fiore VG, Knackstedt LA, Kober H. Listening to the Data: Computational Approaches to Addiction and Learning. J Neurosci 2023; 43:7547-7553. [PMID: 37940590 PMCID: PMC10634572 DOI: 10.1523/jneurosci.1415-23.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 11/10/2023] Open
Abstract
Computational approaches hold great promise for identifying novel treatment targets and creating translational therapeutics for substance use disorders. From circuitries underlying decision-making to computationally derived neural markers of drug-cue reactivity, this review is a summary of the approaches to data presented at our 2023 Society for Neuroscience Mini-Symposium. Here, we highlight data- and hypothesis-driven computational approaches that recently afforded advancements in addiction and learning neuroscience. First, we discuss the value of hypothesis-driven algorithmic modeling approaches, which integrate behavioral, neural, and cognitive outputs to refine hypothesis testing. Then, we review the advantages of data-driven dimensionality reduction and machine learning methods for uncovering novel predictor variables and elucidating relationships in high-dimensional data. Overall, this review highlights recent breakthroughs in cognitive mapping, model-based analysis of behavior/risky decision-making, patterns of drug taking, relapse, and neuromarker discovery, and showcases the benefits of novel modeling techniques, across both preclinical and clinical data.
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Affiliation(s)
| | - Miguel Á Luján
- Department of Neurobiology, University of Maryland, School of Medicine, Baltimore, Maryland 21201
| | - Claire Hales
- Department of Psychology, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Kauê M Costa
- National Institute on Drug Abuse Intramural Research Program, Baltimore, Maryland 21224
| | - Vincenzo G Fiore
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, New York 10029
| | - Lori A Knackstedt
- Department of Psychology, University of Florida, Gainesville, Florida 32611
| | - Hedy Kober
- Departments of Psychiatry, Psychology, and Neuroscience, Yale University, New Haven, Connecticut 06511
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17
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Bowman H, Collins DJ, Nayak AK, Cruse D. Is predictive coding falsifiable? Neurosci Biobehav Rev 2023; 154:105404. [PMID: 37748661 DOI: 10.1016/j.neubiorev.2023.105404] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 09/27/2023]
Abstract
Predictive-coding has justifiably become a highly influential theory in Neuroscience. However, the possibility of its unfalsifiability has been raised. We argue that if predictive-coding were unfalsifiable, it would be a problem, but there are patterns of behavioural and neuroimaging data that would stand against predictive-coding. Contra (vanilla) predictive patterns are those in which the more expected stimulus generates the largest evoked-response. However, basic formulations of predictive-coding mandate that an expected stimulus should generate little, if any, prediction error and thus little, if any, evoked-response. It has, though, been argued that contra (vanilla) predictive patterns can be obtained if precision is higher for expected stimuli. Certainly, using precision, one can increase the amplitude of an evoked-response, turning a predictive into a contra (vanilla) predictive pattern. We demonstrate that, while this is true, it does not present an absolute barrier to falsification. This is because increasing precision also reduces latency and increases the frequency of the response. These properties can be used to determine whether precision-weighting in predictive-coding justifiably explains a contra (vanilla) predictive pattern, ensuring that predictive-coding is falsifiable.
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Affiliation(s)
- H Bowman
- School of Computing, University of Kent, UK; School of Psychology, University of Birmingham, UK; Wellcome Centre for Human Neuroimaging, UCL, UK.
| | | | - A K Nayak
- School of Psychology, University of Birmingham, UK
| | - D Cruse
- School of Psychology, University of Birmingham, UK
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18
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Garcea FE, Buxbaum LJ. Mechanisms and neuroanatomy of response selection in tool and non-tool action tasks: Evidence from left-hemisphere stroke. Cortex 2023; 167:335-350. [PMID: 37598647 PMCID: PMC10543550 DOI: 10.1016/j.cortex.2023.06.012] [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: 11/30/2022] [Revised: 04/19/2023] [Accepted: 06/18/2023] [Indexed: 08/22/2023]
Abstract
The ability to select between potential actions is central to the complex process of tool use. After left hemisphere stroke, individuals with limb apraxia make more hand action errors when gesturing the use of tools with conflicting hand actions for grasping-to-move and use (e.g., screwdriver) relative to tools that are grasped-to-move and used with the same hand action (e.g., hammer). Prior research indicates that this grasp-use interference effect is driven by abnormalities in the competitive action selection process. The goal of this project was to determine whether common mechanisms and neural substrates support the competitive selection of task-appropriate responses in both tool and non-tool domains. If so, the grasp-use interference effect in a tool use gesturing task should be correlated with response interference effects in the classic Eriksen flanker and Simon tasks, and at least partly overlapping neural regions should subserve the 3 tasks. Sixty-four left hemisphere stroke survivors (33 with apraxia) participated in the tool- and non-tool interference tasks and underwent T1 anatomical MRI. There were robust grasp-use interference effects (grasp-use conflict test) and response interference effects (Eriksen flanker and Simon tasks), but these effects were not correlated. Lesion-symptom mapping analyses showed that lesions to the left inferior parietal lobule, ventral premotor cortex, and insula were associated with grasp-use interference. Lesions to the left inferior parietal lobule, postcentral gyrus, insula, caudate, and putamen were associated with response interference in the Eriksen flanker task. Lesions to the left caudate and putamen were also associated with response interference in the Simon task. Our results suggest that the selection of hand posture for tool use is mediated by distinct cognitive mechanisms and partly distinct neuroanatomic substrates from those mapping a stimulus to an appropriate motor response in non-tool domains.
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Affiliation(s)
- Frank E Garcea
- Department of Neurosurgery, University of Rochester Medical Center, Rochester, NY, USA; Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, USA; Del Monte Institute for Neuroscience, University of Rochester Medical Center, Rochester, NY, USA.
| | - Laurel J Buxbaum
- Moss Rehabilitation Research Institute, Elkins Park, PA, USA; Department of Rehabilitation Medicine, Jefferson University, Philadelphia, PA, USA
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19
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Laukkonen RE, Webb M, Salvi C, Tangen JM, Slagter HA, Schooler JW. Insight and the selection of ideas. Neurosci Biobehav Rev 2023; 153:105363. [PMID: 37598874 DOI: 10.1016/j.neubiorev.2023.105363] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 06/19/2023] [Accepted: 08/15/2023] [Indexed: 08/22/2023]
Abstract
Perhaps it is no accident that insight moments accompany some of humanity's most important discoveries in science, medicine, and art. Here we propose that feelings of insight play a central role in (heuristically) selecting an idea from the stream of consciousness by capturing attention and eliciting a sense of intuitive confidence permitting fast action under uncertainty. The mechanisms underlying this Eureka heuristic are explained within an active inference framework. First, implicit restructuring via Bayesian reduction leads to a higher-order prediction error (i.e., the content of insight). Second, dopaminergic precision-weighting of the prediction error accounts for the intuitive confidence, pleasure, and attentional capture (i.e., the feeling of insight). This insight as precision account is consistent with the phenomenology, accuracy, and neural unfolding of insight, as well as its effects on belief and decision-making. We conclude by reflecting on dangers of the Eureka Heuristic, including the arising and entrenchment of false beliefs and the vulnerability of insights under psychoactive substances and misinformation.
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20
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Fermin AS, Sasaoka T, Maekawa T, Chan HL, Machizawa MG, Okada G, Okamoto Y, Yamawaki S. Insula neuroanatomical networks predict interoceptive awareness. Heliyon 2023; 9:e18307. [PMID: 37520943 PMCID: PMC10374932 DOI: 10.1016/j.heliyon.2023.e18307] [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: 10/12/2022] [Revised: 07/05/2023] [Accepted: 07/13/2023] [Indexed: 08/01/2023] Open
Abstract
Interoceptive awareness (IA), the subjective and conscious perception of visceral and physiological signals from the body, has been associated with functions of cortical and subcortical neural systems involved in emotion control, mood and anxiety disorders. We recently hypothesized that IA and its contributions to mental health are realized by a brain interoception network (BIN) linking brain regions that receive ascending interoceptive information from the brainstem, such as the amygdala, insula and anterior cingulate cortex (ACC). However, little evidence exists to support this hypothesis. In order to test this hypothesis, we used a publicly available dataset that contained both anatomical neuroimaging data and an objective measure of IA assessed with a heartbeat detection task. Whole-brain Voxel-Based Morphometry (VBM) was used to investigate the association of IA with gray matter volume (GMV) and the structural covariance network (SCN) of the amygdala, insula and ACC. The relationship between IA and mental health was investigated with questionnaires that assessed depressive symptoms and anxiety. We found a positive correlation between IA and state anxiety, but not with depressive symptoms. In the VBM analysis, only the GMV of the left anterior insula showed a positive association with IA. A similar association was observed between the parcellated GMV of the left dorsal agranular insula, located in the anterior insula, and IA. The SCN linking the right dorsal agranular insula with the left dorsal agranular insula and left hyper-granular insula were positively correlated with IA. No association between GMV or SCN and depressive symptoms or anxiety were observed. These findings revealed a previously unknown association between IA, insula volume and intra-insula SCNs. These results may support development of non-invasive neuroimaging interventions, e.g., neurofeedback, seeking to improve IA and to prevent development of mental health problems, such anxiety disorders.
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Affiliation(s)
- Alan S.R. Fermin
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Takafumi Sasaoka
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Toru Maekawa
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Hui-Ling Chan
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Maro G. Machizawa
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Yasumasa Okamoto
- Department of Psychiatry and Neurosciences, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
| | - Shigeto Yamawaki
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, 734-8553, Hiroshima city, Hiroshima, Japan
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21
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Mikus N, Eisenegger C, Mathys C, Clark L, Müller U, Robbins TW, Lamm C, Naef M. Blocking D2/D3 dopamine receptors in male participants increases volatility of beliefs when learning to trust others. Nat Commun 2023; 14:4049. [PMID: 37422466 PMCID: PMC10329681 DOI: 10.1038/s41467-023-39823-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 06/29/2023] [Indexed: 07/10/2023] Open
Abstract
The ability to learn about other people is crucial for human social functioning. Dopamine has been proposed to regulate the precision of beliefs, but direct behavioural evidence of this is lacking. In this study, we investigate how a high dose of the D2/D3 dopamine receptor antagonist sulpiride impacts learning about other people's prosocial attitudes in a repeated Trust game. Using a Bayesian model of belief updating, we show that in a sample of 76 male participants sulpiride increases the volatility of beliefs, which leads to higher precision weights on prediction errors. This effect is driven by participants with genetically conferred higher dopamine availability (Taq1a polymorphism) and remains even after controlling for working memory performance. Higher precision weights are reflected in higher reciprocal behaviour in the repeated Trust game but not in single-round Trust games. Our data provide evidence that the D2 receptors are pivotal in regulating prediction error-driven belief updating in a social context.
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Affiliation(s)
- Nace Mikus
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
- Interacting Minds Centre, Aarhus University, Aarhus, Denmark.
| | - Christoph Eisenegger
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
- Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, UK
| | - Christoph Mathys
- Interacting Minds Centre, Aarhus University, Aarhus, Denmark
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland
- Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
| | - Luke Clark
- Centre for Gambling Research at UBC, Department of Psychology, University of British, Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Ulrich Müller
- Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, UK
- Adult Neurodevelopmental Services, Health & Community Services, Government of Jersey, St Helier, Jersey
| | - Trevor W Robbins
- Behavioural and Clinical Neuroscience Institute and Department of Psychology, University of Cambridge, Cambridge, UK
| | - Claus Lamm
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
| | - Michael Naef
- Department of Economics, University of Durham, Durham, UK.
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22
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Kato A, Shimomura K, Ognibene D, Parvaz MA, Berner LA, Morita K, Fiore VG. Computational models of behavioral addictions: State of the art and future directions. Addict Behav 2023; 140:107595. [PMID: 36621045 DOI: 10.1016/j.addbeh.2022.107595] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 11/23/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
Non-pharmacological behavioral addictions, such as pathological gambling, videogaming, social networking, or internet use, are becoming major public health concerns. It is not yet clear how behavioral addictions could share many major neurobiological and behavioral characteristics with substance use disorders, despite the absence of direct pharmacological influences. A deeper understanding of the neurocognitive mechanisms of addictive behavior is needed, and computational modeling could be one promising approach to explain intricately entwined cognitive and neural dynamics. This review describes computational models of addiction based on reinforcement learning algorithms, Bayesian inference, and biophysical neural simulations. We discuss whether computational frameworks originally conceived to explain maladaptive behavior in substance use disorders can be effectively extended to non-substance-related behavioral addictions. Moreover, we introduce recent studies on behavioral addictions that exemplify the possibility of such extension and propose future directions.
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Affiliation(s)
- Ayaka Kato
- RIKEN Center for Brain Science, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan; Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo 153-8902, Japan
| | - Kanji Shimomura
- Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo 113-0033, Japan
| | - Dimitri Ognibene
- Department of Psychology, Università degli Studi Milano-Bicocca, Milan, Italy; School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK
| | - Muhammad A Parvaz
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Laura A Berner
- Center of Excellence in Eating and Weight Disorders, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Computational Psychiatry, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kenji Morita
- Physical and Health Education, Graduate School of Education, The University of Tokyo, Tokyo 113-0033, Japan; International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo 113-0033, Japan
| | - Vincenzo G Fiore
- Center for Computational Psychiatry, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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23
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França TFA, Pompeia S. Reappraising the role of dopamine in adolescent risk-taking behavior. Neurosci Biobehav Rev 2023; 147:105085. [PMID: 36773751 DOI: 10.1016/j.neubiorev.2023.105085] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/30/2023] [Accepted: 02/07/2023] [Indexed: 02/12/2023]
Abstract
Adolescence is characterized by increased risk-taking, which is often ascribed to developmental changes in dopaminergic signaling. Popular models propose that these behaviors are caused by dopamine-induced hypersensitivity to rewards, which overrides adolescents' immature self-control mechanisms. However, these models are often based on oversimplified notions about the workings and functions of dopamine. Here we discuss the relationship between changes in the dopaminergic system and adolescent behavior in light of current theories/models about the functions of dopamine. We show that dopamine is linked to learning, adaptive decision-making under uncertainty, and increased motivation to work for rewards. Thus, changes in the dopaminergic system contribute to the maturation of cognitive control through various mechanisms, contrary to the false dichotomy between reward processing and self-control. Finally, we note that dopamine interacts with a number of other neuromodulator systems, which also change during adolescence, but that have been largely ignored in the field of adolescent development. A full understanding of adolescent behavior will require these neurochemicals and their interactions with dopamine to be taken into account.
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Affiliation(s)
- Thiago F A França
- Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia. São Paulo - SP, Brasil
| | - Sabine Pompeia
- Universidade Federal de São Paulo. Escola Paulista de Medicina. Departamento de Psicobiologia. São Paulo - SP, Brasil.
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24
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From fear of falling to choking under pressure: A predictive processing perspective of disrupted motor control under anxiety. Neurosci Biobehav Rev 2023; 148:105115. [PMID: 36906243 DOI: 10.1016/j.neubiorev.2023.105115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/11/2023]
Abstract
Under the Predictive Processing Framework, perception is guided by internal models that map the probabilistic relationship between sensory states and their causes. Predictive processing has contributed to a new understanding of both emotional states and motor control but is yet to be fully applied to their interaction during the breakdown of motor movements under heightened anxiety or threat. We bring together literature on anxiety and motor control to propose that predictive processing provides a unifying principle for understanding motor breakdowns as a disruption to the neuromodulatory control mechanisms that regulate the interactions of top-down predictions and bottom-up sensory signals. We illustrate this account using examples from disrupted balance and gait in populations who are anxious/fearful of falling, as well as 'choking' in elite sport. This approach can explain both rigid and inflexible movement strategies, as well as highly variable and imprecise action and conscious movement processing, and may also unite the apparently opposing self-focus and distraction approaches to choking. We generate predictions to guide future work and propose practical recommendations.
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25
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Manrique HM, Walker MJ. To copy or not to copy? That is the question! From chimpanzees to the foundation of human technological culture. Phys Life Rev 2023; 45:6-24. [PMID: 36931123 DOI: 10.1016/j.plrev.2023.02.005] [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: 02/27/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023]
Abstract
A prerequisite for copying innovative behaviour faithfully is the capacity of observers' brains, regarded as 'hierarchically mechanistic minds', to overcome cognitive 'surprisal' (see 2.), by maximising the evidence for their internal models, through active inference. Unlike modern humans, chimpanzees and other great apes show considerable limitations in their ability, or 'Zone of Bounded Surprisal', to overcome cognitive surprisal induced by innovative or unorthodox behaviour that rarely, therefore, is copied precisely or accurately. Most can copy adequately what is within their phenotypically habitual behavioural repertoire, in which technology plays scant part. Widespread intra- and intergenerational social transmission of complex technological innovations is not a hall-mark of great-ape taxa. 3 Ma, precursors of the genus Homo made stone artefacts, and stone-flaking likely was habitual before 2 Ma. After that time, early Homo erectus has left traces of technological innovations, though faithful copying of these and their intra- and intergenerational social transmission were rare before 1 Ma. This likely owed to a cerebral infrastructure of interconnected neuronal systems more limited than ours. Brains were smaller in size than ours, and cerebral neuronal systems ceased to develop when early Homo erectus attained full adult maturity by the mid-teen years, whereas its development continues until our mid-twenties nowadays. Pleistocene Homo underwent remarkable evolutionary adaptation of neurobiological propensities, and cerebral aspects are discussed that, it is proposed here, plausibly, were fundamental for faithful copying, which underpinned social transmission of technologies, cumulative learning, and culture. Here, observers' responses to an innovation are more important for ensuring its transmission than is an innovator's production of it, because, by themselves, the minimal cognitive prerequisites that are needed for encoding and assimilating innovations are insufficient for practical outcomes to accumulate and spread intra- and intergenerationally.
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Affiliation(s)
- Héctor M Manrique
- Departamento de Psicología y Sociología, Universidad de Zaragoza, Campus Universitario de Teruel, 44003, Teruel, Spain.
| | - Michael J Walker
- Departamento de Zoología y Antropología Física, Facultad de Biología, Universidad de Murcia, Campus Universitario de Espinardo Edificio 20, 30100 Murcia, Spain.
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Era V, Candidi M, Pezzetta R, Pulcini C, D'Antonio S, Zabberoni S, Peppe A, Costa A, Taglieri S, Carlesimo GA, Aglioti SM. The dopaminergic system supports flexible and rewarding dyadic motor interactive behaviour in Parkinson's Disease. Soc Cogn Affect Neurosci 2023; 18:6604233. [PMID: 35674339 PMCID: PMC9949502 DOI: 10.1093/scan/nsac040] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/21/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
Studies indicate that the dopaminergic system (DAS) supports individual flexible behaviour. While flexibility is quintessential to effective dyadic motor interactions, whether DAS mediates adaptations of one's own motor behaviour to that of a partner is not known. Here, we asked patients with Parkinson's Disease (PD) to synchronize their grasping movements with those of a virtual partner in conditions that did (Interactive) or did not (Cued) require to predict and adapt to its actions. PD performed the task during daily antiparkinsonian treatment ('On' condition) or after drug-withdrawal ('Off' condition). A group of healthy individuals also served as control group. In the Interactive condition, PDs performed better and found the interaction more enjoyable when in 'On' than in 'Off' condition. Crucially, PD performance in the 'On' condition did not differ from that of healthy controls. This pattern of results hints at the key role of the DAS in supporting the flexible adaptation of one's own actions to the partner's during motor interactions.
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Affiliation(s)
- Vanessa Era
- Department of Psychology, Sapienza University, Rome, 00185, Italy.,IRCCS Fondazione Santa Lucia, Rome, 00179, Italy
| | - Matteo Candidi
- Department of Psychology, Sapienza University, Rome, 00185, Italy.,IRCCS Fondazione Santa Lucia, Rome, 00179, Italy
| | | | - Claudia Pulcini
- Department of Psychology, Sapienza University, Rome, 00185, Italy
| | - Sara D'Antonio
- Department of Psychology, Sapienza University, Rome, 00185, Italy
| | | | | | - Alberto Costa
- IRCCS Fondazione Santa Lucia, Rome, 00179, Italy.,Niccolò Cusano University, Rome, 00166, Italy
| | - Sara Taglieri
- IRCCS Fondazione Santa Lucia, Rome, 00179, Italy.,Niccolò Cusano University, Rome, 00166, Italy
| | | | - Salvatore Maria Aglioti
- IRCCS Fondazione Santa Lucia, Rome, 00179, Italy.,Center for Life Nano- and Neuro-Science, Istituto Italiano di Tecnologia, and Sapienza University Rome, Rome, 00161, Italy
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Li SC, Fitzek FHP. Digitally embodied lifespan neurocognitive development and Tactile Internet: Transdisciplinary challenges and opportunities. Front Hum Neurosci 2023; 17:1116501. [PMID: 36845878 PMCID: PMC9950571 DOI: 10.3389/fnhum.2023.1116501] [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: 12/05/2022] [Accepted: 01/26/2023] [Indexed: 02/12/2023] Open
Abstract
Mechanisms underlying perceptual processing and inference undergo substantial changes across the lifespan. If utilized properly, technologies could support and buffer the relatively more limited neurocognitive functions in the still developing or aging brains. Over the past decade, a new type of digital communication infrastructure, known as the "Tactile Internet (TI)," is emerging in the fields of telecommunication, sensor and actuator technologies and machine learning. A key aim of the TI is to enable humans to experience and interact with remote and virtual environments through digitalized multimodal sensory signals that also include the haptic (tactile and kinesthetic) sense. Besides their applied focus, such technologies may offer new opportunities for the research tapping into mechanisms of digitally embodied perception and cognition as well as how they may differ across age cohorts. However, there are challenges in translating empirical findings and theories about neurocognitive mechanisms of perception and lifespan development into the day-to-day practices of engineering research and technological development. On the one hand, the capacity and efficiency of digital communication are affected by signal transmission noise according to Shannon's (1949) Information Theory. On the other hand, neurotransmitters, which have been postulated as means that regulate the signal-to-noise ratio of neural information processing (e.g., Servan-Schreiber et al., 1990), decline substantially during aging. Thus, here we highlight neuronal gain control of perceptual processing and perceptual inference to illustrate potential interfaces for developing age-adjusted technologies to enable plausible multisensory digital embodiments for perceptual and cognitive interactions in remote or virtual environments.
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Affiliation(s)
- Shu-Chen Li
- Chair of Lifespan Developmental Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany,Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany,*Correspondence: Shu-Chen Li,
| | - Frank H. P. Fitzek
- Centre for Tactile Internet With Human-in-the-Loop, Technische Universität Dresden, Dresden, Germany,Deutsche Telekom Chair of Communication Networks, Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
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28
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D’Amelio A, Patania S, Bursic S, Cuculo V, Boccignone G. Using Gaze for Behavioural Biometrics. SENSORS (BASEL, SWITZERLAND) 2023; 23:1262. [PMID: 36772302 PMCID: PMC9920149 DOI: 10.3390/s23031262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/15/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
A principled approach to the analysis of eye movements for behavioural biometrics is laid down. The approach grounds in foraging theory, which provides a sound basis to capture the uniqueness of individual eye movement behaviour. We propose a composite Ornstein-Uhlenbeck process for quantifying the exploration/exploitation signature characterising the foraging eye behaviour. The relevant parameters of the composite model, inferred from eye-tracking data via Bayesian analysis, are shown to yield a suitable feature set for biometric identification; the latter is eventually accomplished via a classical classification technique. A proof of concept of the method is provided by measuring its identification performance on a publicly available dataset. Data and code for reproducing the analyses are made available. Overall, we argue that the approach offers a fresh view on either the analyses of eye-tracking data and prospective applications in this field.
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Affiliation(s)
- Alessandro D’Amelio
- PHuSe Lab, Department of Computer Science, University of Milano Statale, Via Celoria 18, 20133 Milan, Italy
| | - Sabrina Patania
- PHuSe Lab, Department of Computer Science, University of Milano Statale, Via Celoria 18, 20133 Milan, Italy
| | - Sathya Bursic
- PHuSe Lab, Department of Computer Science, University of Milano Statale, Via Celoria 18, 20133 Milan, Italy
- Department of Psychology, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
| | - Vittorio Cuculo
- PHuSe Lab, Department of Computer Science, University of Milano Statale, Via Celoria 18, 20133 Milan, Italy
| | - Giuseppe Boccignone
- PHuSe Lab, Department of Computer Science, University of Milano Statale, Via Celoria 18, 20133 Milan, Italy
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Combined EEG and immersive virtual reality unveil dopaminergic modulation of error monitoring in Parkinson's Disease. NPJ Parkinsons Dis 2023; 9:3. [PMID: 36639384 PMCID: PMC9839679 DOI: 10.1038/s41531-022-00441-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 12/20/2022] [Indexed: 01/15/2023] Open
Abstract
Detecting errors in your own and others' actions is associated with discrepancies between intended and expected outcomes. The processing of salient events is associated with dopamine release, the balance of which is altered in Parkinson's disease (PD). Errors in observed actions trigger various electrocortical indices (e.g. mid-frontal theta, error-related delta, and error positivity [oPe]). However, the impact of dopamine depletion to observed errors in the same individual remains unclear. Healthy controls (HCs) and PD patients observed ecological reach-to-grasp-a-glass actions performed by a virtual arm from a first-person perspective. PD patients were tested under their dopaminergic medication (on-condition) and after dopaminergic withdrawal (off-condition). Analyses of oPe, delta, and theta-power increases indicate that while the formers were elicited after incorrect vs. correct actions in all groups, the latter were observed in on-condition but altered in off-condition PD. Therefore, different EEG error signatures may index the activity of distinct mechanisms, and error-related theta power is selectively modulated by dopamine depletion. Our findings may facilitate discovering dopamine-related biomarkers for error-monitoring dysfunctions that may have crucial theoretical and clinical implications.
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Chamberlin DE. The Active Inference Model of Coherence Therapy. Front Hum Neurosci 2023; 16:955558. [PMID: 36684841 PMCID: PMC9845783 DOI: 10.3389/fnhum.2022.955558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023] Open
Abstract
Coherence Therapy is an empirically derived experiential psychotherapy based on Psychological Constructivism. Symptoms are viewed as necessary output from an implicit model of the world. The therapist curates experiences and directs attention toward discovering the model. Rendered explicit, the model is juxtaposed with contradictory knowledge driving memory re-consolidation with resolution of the symptom. The Bayesian Brain views perception and action as inferential processes. Prior beliefs are combined in a generative model to explain the hidden causes of sensations through a process of Active Inference. Prior beliefs that are poor fits to the real world are suboptimal. Suboptimal priors with optimal inference produce Bayes Optimal Pathology with behavioral symptoms. The Active Inference Model of Coherence Therapy posits that Coherence Therapy is a dyadic act of therapist guided Active Inference that renders the (probable) hidden causes of a client's behavior conscious. The therapist's sustained attention on the goal of inference helps to overcome memory control bias against retrieval of the affectively charged suboptimal prior. Serial experiences cue memory retrieval and re-instantiation of the physiological/affective state that necessitates production of the symptom in a particular context. As this process continues there is a break in modularity with assimilation into broader networks of experience. Typically, the symptom produced by optimal inference with the suboptimal prior is experienced as unnecessary/inappropriate when taken out of the particular context. The implicit construct has been re-represented and rendered consciously accessible, by a more complex but more accurate model in which the symptom is necessary in some contexts but not others. There is an experience of agency and control in symptom creation, accompanied by the spontaneous production of context appropriate behavior. The capacity for inference has been restored. The Active Inference Model of Coherence Therapy provides a framework for Coherence Therapy as a computational process which can serve as the basis for new therapeutic interventions and experimental designs integrating biological, cognitive, behavioral, and environmental factors.
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31
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A Reinforcement Meta-Learning framework of executive function and information demand. Neural Netw 2023; 157:103-113. [DOI: 10.1016/j.neunet.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 09/05/2022] [Accepted: 10/06/2022] [Indexed: 11/09/2022]
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Rounis E, Binkofski F. Limb Apraxias: The Influence of Higher Order Perceptual and Semantic Deficits in Motor Recovery After Stroke. Stroke 2023; 54:30-43. [PMID: 36542070 DOI: 10.1161/strokeaha.122.037948] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Stroke is a leading cause of disability worldwide. Limb apraxia is a group of higher order motor disorders associated with greater disability and dependence after stroke. Original neuropsychology studies distinguished separate brain pathways involved in perception and action, known as the dual stream hypothesis. This framework has allowed a better understanding of the deficits identified in Limb Apraxia. In this review, we propose a hierarchical organization of this disorder, in which a distinction can be made between several visuomotor pathways that lead to purposeful actions. Based on this, executive apraxias (such as limb kinetic apraxia) cause deficits in executing fine motor hand skills, and intermediate apraxias (such as optic ataxia and tactile apraxia) cause deficits in reaching to grasp and manipulating objects in space. These disorders usually affect the contralesional limb. A further set of disorders collectively known as limb apraxias include deficits in gesture imitation, pantomime, gesture recognition, and object use. These deficits are due to deficits in integrating perceptual and semantic information to generate complex movements. Limb apraxias are usually caused by left-hemisphere lesions in right-handed stroke patients, affecting both limbs. The anterior- to posterior-axis of brain areas are disrupted depending on the increasing involvement of perceptual and semantic processes with each condition. Lower-level executive apraxias are linked to lesions in the frontal lobe and the basal ganglia, while intermediate apraxias are linked to lesions in dorso-dorsal subdivisions of the dorsal fronto-parietal networks. Limb apraxias can be caused by lesions in both dorsal and ventral subdivisions including the ventro-dorsal stream and a third visuomotor pathway, involved in body schema and social cognition. Rehabilitation of these disorders with behavioral therapies has aimed to either restore perceptuo-semantic deficits or compensate to overcome these deficits. Further studies are required to better stratify patients, using modern neurophysiology and neuroimaging techniques, to provide targeted and personalized therapies for these disorders in the future.
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Affiliation(s)
- Elisabeth Rounis
- Chelsea and Westminster NHS Foundation Trust, West Middlesex University Hospital, Isleworth, United Kingdom (E.R.).,MRC Cognition and Brain Sciences Unit, University of Cambridge, United Kingdom (E.R.).,Department of Brain Sciences, Faculty of Medicine, Imperial College London, United Kingdom (E.R.)
| | - Ferdinand Binkofski
- Division for Clinical Cognitive Sciences, Department of Neurology, University Hospital RWTH Aachen, Germany (F.B.).,Institute for Neuroscience and Medicine (INM-4), Research Center Juelich GmbH, Germany (F.B.).,Juelich Aachen Research Alliance - JARA, Germany (F.B.)
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33
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Rounis E, Buccino G, Binkofski F. Parietal control of hand movement. HANDBOOK OF CLINICAL NEUROLOGY 2023; 195:127-133. [PMID: 37562866 DOI: 10.1016/b978-0-323-98818-6.00029-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
The parietal lobe has been implicated in the sensorimotor control and integration that supports the skillful use of our hands to reach for, grasp, and manipulate objects in the environment. This area is involved in several circuits within the classic subdivisions of the dorsal stream. Recently, the dorsal stream has been further divided into a "dorso-dorsal" and a "ventro-dorsal" streams. The ventro-dorsal stream is regarded as functionally linked to object manipulation. The dorso-dorsal stream is proposed to subserve reaching and online control of actions. Affordances indicate action possibilities characterized by object properties the environment provides. Affordances are likely represented by the dorsal stream. They code structural object properties that can elicit actions. A further subdivision of affordances into "stable" and "variable" allows an understanding of the neuronal mechanisms underlying object manipulation. Whereas stable affordances emerge from slow processing of visual information based on knowledge of object properties from previous experiences and object interaction, variable affordances emerge from fast online processing of visual information during actual object interaction, within a changing environment. The relevance of the dorsal stream subdivisions in this context is that the dorso-dorsal stream is associated with coding of variable affordances, while that of the dorso-ventral stream is implicated in action representations elicited by stable affordances. A greater interaction between these and ventral stream perceptual and semantic representations allows the parietal control of hand movement. An understanding of these networks is likely to underlie recovery from complex deficits described in limb apraxias.
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Affiliation(s)
- Elisabeth Rounis
- Chelsea and Westminster NHS Foundation Trust, West Middlesex University Hospital, Isleworth, United Kingdom; Department of Brain Sciences, Faculty of Medicine, Imperial College, London, United Kingdom
| | - Giovanni Buccino
- Division of Neuroscience, University Vita Salute San Raffaele and IRCCS San Raffaele, Milan, Italy
| | - Ferdinand Binkofski
- Division of Clinical Cognitive Sciences, Medical Faculty of the RWTH Aachen University, Aachen, Germany.
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34
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Trempler I, Binder E, Reuter M, Plieger T, Standke I, Mecklenbrauck F, Meinert S, Forstner AJ, Nöthen MM, Rietschel M, Stürmer S, Dannlowski U, Tittgemeyer M, Lencer R, Fink GR, Schubotz RI. Effects of DRD2/ANKK1 and COMT Val158Met polymorphisms on stabilization against and adaptation to unexpected events. Cereb Cortex 2022; 32:5698-5715. [PMID: 35235645 DOI: 10.1093/cercor/bhac046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 01/19/2022] [Accepted: 01/20/2022] [Indexed: 01/25/2023] Open
Abstract
Genetic variations affecting dopaminergic neuromodulation such as the DRD2/ANKK1 and the COMT Val158Met polymorphisms contribute to goal-directed behavior that requires a balance between stabilization and updating of current states and behaviors. Dopamine is also thought to be relevant for encoding of surprise signals to sensory input and adaptive learning. A link between goal-directed behavior and learning from surprise is therefore plausible. In the present fMRI study, we investigated whether DRD2 and COMT polymorphisms are related to behavioral responses and neural signals in the caudate nucleus and dlPFC during updating or stabilizing internal models of predictable digit sequences. To-be-detected switches between sequences and to-be-ignored digit omissions within a sequence varied by information-theoretic quantities of surprise and entropy. We found that A1 noncarriers and Val-carriers showed a lower response threshold along with increased caudate and dlPFC activation to surprising switches compared with A1-carriers and Met-homozygotes, whose dlPFC activity increased with decreasing switch surprise. In contrast, there were overall smaller differences in behavioral and neural modulation by drift surprise. Our results suggest that the impact of dopamine-relevant polymorphisms in the flexibility-stability trade-off may result in part from the role of dopamine in encoding the weight afforded to events requiring updating or stabilization.
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Affiliation(s)
- Ima Trempler
- Department of Psychology, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioural Neuroscience, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany
| | - Ellen Binder
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, Cologne D50937, Germany
| | - Martin Reuter
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, Bonn D53111, Germany.,Laboratory of Neurogenetics, Center for Economics and Neuroscience, University of Bonn, Am Hofgarten 8, Bonn D53113, Germany
| | - Thomas Plieger
- Department of Psychology, University of Bonn, Kaiser-Karl-Ring 9, Bonn D53111, Germany.,Laboratory of Neurogenetics, Center for Economics and Neuroscience, University of Bonn, Am Hofgarten 8, Bonn D53113, Germany
| | - Isabel Standke
- Institute for Translational Psychiatry, University of Muenster, Albert-Schweitzer-Str. 11, Muenster D48149, Germany
| | - Falko Mecklenbrauck
- Department of Psychology, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioural Neuroscience, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Muenster, Albert-Schweitzer-Str. 11, Muenster D48149, Germany.,Institute for Translational Neuroscience, University of Muenster, Albert-Schweitzer-Str. 11, Muenster D48149, Germany
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Sigmund-Freud-Str. 25, Bonn D53127, Germany.,Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Wilhelm-Johnen-Str., Juelich D52428, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Sigmund-Freud-Str. 25, Bonn D53127, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, J5, Mannheim D68159, Germany
| | - Sophie Stürmer
- Department of Psychiatry, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, Cologne D50937, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Muenster, Albert-Schweitzer-Str. 11, Muenster D48149, Germany
| | - Marc Tittgemeyer
- Translational Neurocircuitry Group, Max-Planck-Institute for Metabolism Research, Gleueler Str. 50, Cologne D50931, Germany.,Cluster of Excellence in Cellular Stress Responses in Aging-associated Diseases (CECAD), Joseph-Stelzmann-Str. 26, Cologne D50931, Germany
| | - Rebekka Lencer
- Institute for Translational Psychiatry, University of Muenster, Albert-Schweitzer-Str. 11, Muenster D48149, Germany.,Department of Psychiatry and Psychotherapy, University of Luebeck, Ratzeburger Allee 160, Luebeck, D23538, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, Cologne D50937, Germany.,Institute of Neuroscience and Medicine (INM3), Research Centre Juelich, Wilhelm-Johnen-Str., Juelich D52428, Germany
| | - Ricarda I Schubotz
- Department of Psychology, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany.,Otto-Creutzfeldt-Center for Cognitive and Behavioural Neuroscience, University of Muenster, Fliednerstr. 21, Muenster D48149, Germany.,Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, Cologne D50937, Germany
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Pio-Lopez L, Kuchling F, Tung A, Pezzulo G, Levin M. Active inference, morphogenesis, and computational psychiatry. Front Comput Neurosci 2022; 16:988977. [PMID: 36507307 PMCID: PMC9731232 DOI: 10.3389/fncom.2022.988977] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 10/17/2022] [Indexed: 11/26/2022] Open
Abstract
Active inference is a leading theory in neuroscience that provides a simple and neuro-biologically plausible account of how action and perception are coupled in producing (Bayes) optimal behavior; and has been recently used to explain a variety of psychopathological conditions. In parallel, morphogenesis has been described as the behavior of a (non-neural) cellular collective intelligence solving problems in anatomical morphospace. In this article, we establish a link between the domains of cell biology and neuroscience, by analyzing disorders of morphogenesis as disorders of (active) inference. The aim of this article is three-fold. We want to: (i) reveal a connection between disorders of morphogenesis and disorders of active inference as apparent in psychopathological conditions; (ii) show how disorders of morphogenesis can be simulated using active inference; (iii) suggest that active inference can shed light on developmental defects or aberrant morphogenetic processes, seen as disorders of information processing, and perhaps suggesting novel intervention and repair strategies. We present four simulations illustrating application of these ideas to cellular behavior during morphogenesis. Three of the simulations show that the same forms of aberrant active inference (e.g., deficits of sensory attenuation and low sensory precision) that have been used to explain psychopathological conditions (e.g., schizophrenia and autism) also produce familiar disorders of development and morphogenesis when implemented at the level of the collective behavior of a group of cells. The fourth simulation involves two cells with too high precision, in which we show that the reduction of concentration signaling and sensitivity to the signals of other cells treats the development defect. Finally, we present the results of an experimental test of one of the model's predictions in early Xenopus laevis embryos: thioridazine (a dopamine antagonist that may reduce sensory precision in biological systems) induced developmental (anatomical) defects as predicted. The use of conceptual and empirical tools from neuroscience to understand the morphogenetic behavior of pre-neural agents offers the possibility of new approaches in regenerative medicine and evolutionary developmental biology.
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Affiliation(s)
- Léo Pio-Lopez
- Allen Discovery Center, Tufts University, Medford, MA, United States
| | - Franz Kuchling
- Allen Discovery Center, Tufts University, Medford, MA, United States
| | - Angela Tung
- Allen Discovery Center, Tufts University, Medford, MA, United States
| | - Giovanni Pezzulo
- Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy
| | - Michael Levin
- Allen Discovery Center, Tufts University, Medford, MA, United States,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, United States,*Correspondence: Michael Levin
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36
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Gershman SJ, Burke T. Mental control of uncertainty. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2022:10.3758/s13415-022-01034-8. [PMID: 36168079 DOI: 10.3758/s13415-022-01034-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/01/2022] [Indexed: 06/16/2023]
Abstract
Can you reduce uncertainty by thinking? Intuition suggests that this happens through the elusive process of attention: if we expend mental effort, we can increase the reliability of our sensory data. Models based on "rational inattention" formalize this idea in terms of a trade-off between the costs and benefits of attention. This paper surveys the origin of these models in economics, their connection to rate-distortion theory, and some of their recent applications to psychology and neuroscience. We also report new data from a numerosity judgment task in which we manipulate performance incentives. Consistent with rational inattention, people are able to improve performance on this task when incentivized, in part by increasing the reliability of their sensory data.
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Affiliation(s)
- Samuel J Gershman
- Department of Psychology and Center for Brain Science, Harvard University, MA, Cambridge, USA.
| | - Taylor Burke
- Department of Psychology and Center for Brain Science, Harvard University, MA, Cambridge, USA
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Spee BTM, Sladky R, Fingerhut J, Laciny A, Kraus C, Carls-Diamante S, Brücke C, Pelowski M, Treven M. Repeating patterns: Predictive processing suggests an aesthetic learning role of the basal ganglia in repetitive stereotyped behaviors. Front Psychol 2022; 13:930293. [PMID: 36160532 PMCID: PMC9497189 DOI: 10.3389/fpsyg.2022.930293] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
Recurrent, unvarying, and seemingly purposeless patterns of action and cognition are part of normal development, but also feature prominently in several neuropsychiatric conditions. Repetitive stereotyped behaviors (RSBs) can be viewed as exaggerated forms of learned habits and frequently correlate with alterations in motor, limbic, and associative basal ganglia circuits. However, it is still unclear how altered basal ganglia feedback signals actually relate to the phenomenological variability of RSBs. Why do behaviorally overlapping phenomena sometimes require different treatment approaches−for example, sensory shielding strategies versus exposure therapy for autism and obsessive-compulsive disorder, respectively? Certain clues may be found in recent models of basal ganglia function that extend well beyond action selection and motivational control, and have implications for sensorimotor integration, prediction, learning under uncertainty, as well as aesthetic learning. In this paper, we systematically compare three exemplary conditions with basal ganglia involvement, obsessive-compulsive disorder, Parkinson’s disease, and autism spectrum conditions, to gain a new understanding of RSBs. We integrate clinical observations and neuroanatomical and neurophysiological alterations with accounts employing the predictive processing framework. Based on this review, we suggest that basal ganglia feedback plays a central role in preconditioning cortical networks to anticipate self-generated, movement-related perception. In this way, basal ganglia feedback appears ideally situated to adjust the salience of sensory signals through precision weighting of (external) new sensory information, relative to the precision of (internal) predictions based on prior generated models. Accordingly, behavioral policies may preferentially rely on new data versus existing knowledge, in a spectrum spanning between novelty and stability. RSBs may then represent compensatory or reactive responses, respectively, at the opposite ends of this spectrum. This view places an important role of aesthetic learning on basal ganglia feedback, may account for observed changes in creativity and aesthetic experience in basal ganglia disorders, is empirically testable, and may inform creative art therapies in conditions characterized by stereotyped behaviors.
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Affiliation(s)
- Blanca T. M. Spee
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
- Department of Neurology, Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center, Nijmegen, Netherlands
| | - Ronald Sladky
- Social, Cognitive and Affective Neuroscience Unit, Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria
| | - Joerg Fingerhut
- Berlin School of Mind and Brain, Department of Philosophy, Humboldt-Universität zu Berlin, Berlin, Germany
- Faculty of Philosophy, Philosophy of Science and Religious Studies, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Alice Laciny
- Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria
| | - Christoph Kraus
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Medical Neuroscience Cluster, Medical University of Vienna, Vienna, Austria
| | | | - Christof Brücke
- Medical Neuroscience Cluster, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Matthew Pelowski
- Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria
- Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Marco Treven
- Konrad Lorenz Institute for Evolution and Cognition Research, Klosterneuburg, Austria
- Medical Neuroscience Cluster, Medical University of Vienna, Vienna, Austria
- Department of Neurology, Medical University of Vienna, Vienna, Austria
- *Correspondence: Marco Treven,
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38
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Tsfasman M, Philippsen A, Mazzola C, Thill S, Sciutti A, Nagai Y. The world seems different in a social context: A neural network analysis of human experimental data. PLoS One 2022; 17:e0273643. [PMID: 36040911 PMCID: PMC9426934 DOI: 10.1371/journal.pone.0273643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 08/13/2022] [Indexed: 11/28/2022] Open
Abstract
Human perception and behavior are affected by the situational context, in particular during social interactions. A recent study demonstrated that humans perceive visual stimuli differently depending on whether they do the task by themselves or together with a robot. Specifically, it was found that the central tendency effect is stronger in social than in non-social task settings. The particular nature of such behavioral changes induced by social interaction, and their underlying cognitive processes in the human brain are, however, still not well understood. In this paper, we address this question by training an artificial neural network inspired by the predictive coding theory on the above behavioral data set. Using this computational model, we investigate whether the change in behavior that was caused by the situational context in the human experiment could be explained by continuous modifications of a parameter expressing how strongly sensory and prior information affect perception. We demonstrate that it is possible to replicate human behavioral data in both individual and social task settings by modifying the precision of prior and sensory signals, indicating that social and non-social task settings might in fact exist on a continuum. At the same time, an analysis of the neural activation traces of the trained networks provides evidence that information is coded in fundamentally different ways in the network in the individual and in the social conditions. Our results emphasize the importance of computational replications of behavioral data for generating hypotheses on the underlying cognitive mechanisms of shared perception and may provide inspiration for follow-up studies in the field of neuroscience.
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Affiliation(s)
- Maria Tsfasman
- Interactive Intelligence Group, Delft University of Technology, Delft, Netherlands
- Artificial Intelligence Department, Radboud University, Nijmegen, Netherlands
- * E-mail:
| | - Anja Philippsen
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan
| | - Carlo Mazzola
- Robotics, Brain and Cognitive Sciences Unit, Istituto Italiano di Tecnologia, Genova, Italy
- DIBRIS, Università di Genova, Genova, Italy
| | - Serge Thill
- Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands
| | - Alessandra Sciutti
- Cognitive Architecture for Collaborative Technologies Unit, Istituto Italiano di Tecnologia, Genova, Italy
| | - Yukie Nagai
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo, Tokyo, Japan
- Institute for AI and Beyond, The University of Tokyo, Tokyo, Japan
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Köksal Ersöz E, Chossat P, Krupa M, Lavigne F. Dynamic branching in a neural network model for probabilistic prediction of sequences. J Comput Neurosci 2022; 50:537-557. [PMID: 35948839 DOI: 10.1007/s10827-022-00830-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 07/11/2022] [Accepted: 07/13/2022] [Indexed: 10/15/2022]
Abstract
An important function of the brain is to predict which stimulus is likely to occur based on the perceived cues. The present research studied the branching behavior of a computational network model of populations of excitatory and inhibitory neurons, both analytically and through simulations. Results show how synaptic efficacy, retroactive inhibition and short-term synaptic depression determine the dynamics of selection between different branches predicting sequences of stimuli of different probabilities. Further results show that changes in the probability of the different predictions depend on variations of neuronal gain. Such variations allow the network to optimize the probability of its predictions to changing probabilities of the sequences without changing synaptic efficacy.
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Affiliation(s)
- Elif Köksal Ersöz
- Univ Rennes, INSERM, LTSI - UMR 1099, Campus Beaulieu, Rennes, F-35000, France. .,Project Team MathNeuro, INRIA-CNRS-UNS, 2004 route des Lucioles-BP 93, Sophia Antipolis, 06902, France.
| | - Pascal Chossat
- Project Team MathNeuro, INRIA-CNRS-UNS, 2004 route des Lucioles-BP 93, Sophia Antipolis, 06902, France.,Université Côte d'Azur, Laboratoire Jean-Alexandre Dieudonné, Campus Valrose, Nice, 06300, France
| | - Martin Krupa
- Project Team MathNeuro, INRIA-CNRS-UNS, 2004 route des Lucioles-BP 93, Sophia Antipolis, 06902, France.,Université Côte d'Azur, Laboratoire Jean-Alexandre Dieudonné, Campus Valrose, Nice, 06300, France
| | - Frédéric Lavigne
- Université Côte d'Azur, CNRS-BCL, Campus Saint Jean d'Angely, Nice, 06300, France
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40
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Dissociable effects of attention and expectation on perceptual sensitivity to action-outcomes. Conscious Cogn 2022; 103:103374. [PMID: 35872405 DOI: 10.1016/j.concog.2022.103374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 02/18/2022] [Accepted: 06/28/2022] [Indexed: 11/23/2022]
Abstract
Self-generated sensations evoke attenuated neural response - physiological attenuation - and is perceived with less intensity - perceptual attenuation. This phenomenon is referred as sensory attenuation and is proposed to reflect the silencing of predicted sensations. The present study aimed to investigate the independent contribution of expectation and attention on sensory attenuation. The expectation associated with the stimulus feature and the focus of attention was manipulated independently by orthogonal cues. We found pronounced sensory attenuation at the unattended location when the stimulus was self-generated (Experiment 1). When the stimulus was externally-generated (Experiment 2), sensory attenuation was observed at the attended location. Sensory attenuation of expected action-outcome was not observed when the attention cue was uninformative (Experiment 3A). The findings corroborate the claim from Bayesian models that attention mediates sensory attenuation. The results also highlight the paradoxes in Bayesian proposals of perception-action interaction.
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41
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Vogel DHV. The Temporality of Aberrant Salience and Schizophrenia. Front Integr Neurosci 2022; 16:925716. [PMID: 35898443 PMCID: PMC9309519 DOI: 10.3389/fnint.2022.925716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/21/2022] [Indexed: 11/25/2022] Open
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42
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5-HT and α-m-5-HT attenuate excitatory synaptic transmissions onto the lateral amygdala principal neurons via presynaptic 5-HT1B receptors. Biochem Biophys Res Commun 2022; 624:28-34. [DOI: 10.1016/j.bbrc.2022.07.076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 06/27/2022] [Accepted: 07/19/2022] [Indexed: 11/17/2022]
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43
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Maselli A, Lanillos P, Pezzulo G. Active inference unifies intentional and conflict-resolution imperatives of motor control. PLoS Comput Biol 2022; 18:e1010095. [PMID: 35714105 PMCID: PMC9205531 DOI: 10.1371/journal.pcbi.1010095] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/11/2022] [Indexed: 11/19/2022] Open
Abstract
The field of motor control has long focused on the achievement of external goals through action (e.g., reaching and grasping objects). However, recent studies in conditions of multisensory conflict, such as when a subject experiences the rubber hand illusion or embodies an avatar in virtual reality, reveal the presence of unconscious movements that are not goal-directed, but rather aim at resolving multisensory conflicts; for example, by aligning the position of a person’s arm with that of an embodied avatar. This second, conflict-resolution imperative of movement control did not emerge in classical studies of motor adaptation and online corrections, which did not allow movements to reduce the conflicts; and has been largely ignored so far in formal theories. Here, we propose a model of movement control grounded in the theory of active inference that integrates intentional and conflict-resolution imperatives. We present three simulations showing that the active inference model is able to characterize movements guided by the intention to achieve an external goal, by the necessity to resolve multisensory conflict, or both. Furthermore, our simulations reveal a fundamental difference between the (active) inference underlying intentional and conflict-resolution imperatives by showing that it is driven by two different (model and sensory) kinds of prediction errors. Finally, our simulations show that when movement is only guided by conflict resolution, the model incorrectly infers that is velocity is zero, as if it was not moving. This result suggests a novel speculative explanation for the fact that people are unaware of their subtle compensatory movements to avoid multisensory conflict. Furthermore, it can potentially help shed light on deficits of motor awareness that arise in psychopathological conditions.
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Affiliation(s)
- Antonella Maselli
- Institute of Cognitive Sciences and Technology, National Research Council (CNR), Rome, Italy
| | - Pablo Lanillos
- Donders Institute for Brain, Cognition and Behaviour, Artificial Intelligence Department, Radboud University, Nijmegen, The Netherlands
| | - Giovanni Pezzulo
- Institute of Cognitive Sciences and Technology, National Research Council (CNR), Rome, Italy
- * E-mail:
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44
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Corlett PR, Mollick JA, Kober H. Meta-analysis of human prediction error for incentives, perception, cognition, and action. Neuropsychopharmacology 2022; 47:1339-1349. [PMID: 35017672 PMCID: PMC9117315 DOI: 10.1038/s41386-021-01264-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 12/30/2022]
Abstract
Prediction errors (PEs) are a keystone for computational neuroscience. Their association with midbrain neural firing has been confirmed across species and has inspired the construction of artificial intelligence that can outperform humans. However, there is still much to learn. Here, we leverage the wealth of human PE data acquired in the functional neuroimaging setting in service of a deeper understanding, using an MKDA (multi-level kernel-based density) meta-analysis. Studies were identified with Google Scholar, and we included studies with healthy adult participants that reported activation coordinates corresponding to PEs published between 1999-2018. Across 264 PE studies that have focused on reward, punishment, action, cognition, and perception, consistent with domain-general theoretical models of prediction error we found midbrain PE signals during cognitive and reward learning tasks, and an insula PE signal for perceptual, social, cognitive, and reward prediction errors. There was evidence for domain-specific error signals--in the visual hierarchy during visual perception, and the dorsomedial prefrontal cortex during social inference. We assessed bias following prior neuroimaging meta-analyses and used family-wise error correction for multiple comparisons. This organization of computation by region will be invaluable in building and testing mechanistic models of cognitive function and dysfunction in machines, humans, and other animals. Limitations include small sample sizes and ROI masking in some included studies, which we addressed by weighting each study by sample size, and directly comparing whole brain vs. ROI-based results.
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Affiliation(s)
| | | | - Hedy Kober
- Department of Psychiatry, Yale University, New Haven, CT, USA.
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45
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Fermin ASR, Friston K, Yamawaki S. An insula hierarchical network architecture for active interoceptive inference. ROYAL SOCIETY OPEN SCIENCE 2022; 9:220226. [PMID: 35774133 PMCID: PMC9240682 DOI: 10.1098/rsos.220226] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 06/09/2022] [Indexed: 05/05/2023]
Abstract
In the brain, the insular cortex receives a vast amount of interoceptive information, ascending through deep brain structures, from multiple visceral organs. The unique hierarchical and modular architecture of the insula suggests specialization for processing interoceptive afferents. Yet, the biological significance of the insula's neuroanatomical architecture, in relation to deep brain structures, remains obscure. In this opinion piece, we propose the Insula Hierarchical Modular Adaptive Interoception Control (IMAC) model to suggest that insula modules (granular, dysgranular and agranular), forming parallel networks with the prefrontal cortex and striatum, are specialized to form higher order interoceptive representations. These interoceptive representations are recruited in a context-dependent manner to support habitual, model-based and exploratory control of visceral organs and physiological processes. We discuss how insula interoceptive representations may give rise to conscious feelings that best explain lower order deep brain interoceptive representations, and how the insula may serve to defend the body and mind against pathological depression.
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Affiliation(s)
- Alan S. R. Fermin
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Karl Friston
- The Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, England
| | - Shigeto Yamawaki
- Center for Brain, Mind and Kansei Sciences Research, Hiroshima University, Hiroshima, Japan
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46
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Constant A, Clark A, Kirchhoff M, Friston KJ. Extended active inference: Constructing predictive cognition beyond skulls. MIND & LANGUAGE 2022; 37:373-394. [PMID: 35875359 PMCID: PMC9292365 DOI: 10.1111/mila.12330] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 10/07/2019] [Accepted: 11/19/2019] [Indexed: 05/17/2023]
Abstract
Cognitive niche construction is the process whereby organisms create and maintain cause-effect models of their niche as guides for fitness influencing behavior. Extended mind theory claims that cognitive processes extend beyond the brain to include predictable states of the world. Active inference and predictive processing in cognitive science assume that organisms embody predictive (i.e., generative) models of the world optimized by standard cognitive functions (e.g., perception, action, learning). This paper presents an active inference formulation that views cognitive niche construction as a cognitive function aimed at optimizing organisms' generative models. We call that process of optimization extended active inference.
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Affiliation(s)
- Axel Constant
- Charles Perkins CentreThe University of SydneySydneyNew South WalesAustralia
- Culture, Mind, and Brain ProgramMcGill UniversityMontrealQuebecCanada
- Wellcome Centre for Human NeuroimagingUniversity College LondonLondonUK
| | - Andy Clark
- Department of PhilosophyThe University of SussexBrightonUK
- Department of InformaticsThe University of SussexBrightonUK
- Department of PhilosophyMacquarie UniversitySydneyNew South WalesAustralia
| | - Michael Kirchhoff
- Department of PhilosophyUniversity of WollongongWollongongNew South WalesAustralia
| | - Karl J. Friston
- Culture, Mind, and Brain ProgramMcGill UniversityMontrealQuebecCanada
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47
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Hezemans FH, Wolpe N, O’Callaghan C, Ye R, Rua C, Jones PS, Murley AG, Holland N, Regenthal R, Tsvetanov KA, Barker RA, Williams-Gray CH, Robbins TW, Passamonti L, Rowe JB. Noradrenergic deficits contribute to apathy in Parkinson's disease through the precision of expected outcomes. PLoS Comput Biol 2022; 18:e1010079. [PMID: 35533200 PMCID: PMC9119485 DOI: 10.1371/journal.pcbi.1010079] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 05/19/2022] [Accepted: 04/05/2022] [Indexed: 02/06/2023] Open
Abstract
Apathy is a debilitating feature of many neuropsychiatric diseases, that is typically described as a reduction of goal-directed behaviour. Despite its prevalence and prognostic importance, the mechanisms underlying apathy remain controversial. Degeneration of the locus coeruleus-noradrenaline system is known to contribute to motivational deficits, including apathy. In healthy people, noradrenaline has been implicated in signalling the uncertainty of expectations about the environment. We proposed that noradrenergic deficits contribute to apathy by modulating the relative weighting of prior beliefs about action outcomes. We tested this hypothesis in the clinical context of Parkinson's disease, given its associations with apathy and noradrenergic dysfunction. Participants with mild-to-moderate Parkinson's disease (N = 17) completed a randomised double-blind, placebo-controlled, crossover study with 40 mg of the noradrenaline reuptake inhibitor atomoxetine. Prior weighting was inferred from psychophysical analysis of performance in an effort-based visuomotor task, and was confirmed as negatively correlated with apathy. Locus coeruleus integrity was assessed in vivo using magnetisation transfer imaging at ultra-high field 7T. The effect of atomoxetine depended on locus coeruleus integrity: participants with a more degenerate locus coeruleus showed a greater increase in prior weighting on atomoxetine versus placebo. The results indicate a contribution of the noradrenergic system to apathy and potential benefit from noradrenergic treatment of people with Parkinson's disease, subject to stratification according to locus coeruleus integrity. More broadly, these results reconcile emerging predictive processing accounts of the role of noradrenaline in goal-directed behaviour with the clinical symptom of apathy and its potential pharmacological treatment.
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Affiliation(s)
- Frank H. Hezemans
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Noham Wolpe
- Department of Physical Therapy, The Stanley Steyer School of Health Professions, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Claire O’Callaghan
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Brain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Rong Ye
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
| | - Catarina Rua
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
| | - P. Simon Jones
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
| | - Alexander G. Murley
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
| | - Negin Holland
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
| | - Ralf Regenthal
- Division of Clinical Pharmacology, Rudolf-Boehm-Institute for Pharmacology and Toxicology, University of Leipzig, Leipzig, Germany
| | - Kamen A. Tsvetanov
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Roger A. Barker
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Wellcome–MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
| | - Caroline H. Williams-Gray
- John van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Trevor W. Robbins
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Luca Passamonti
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
- Istituto di Bioimmagini e Fisiologia Molecolare, Consiglio Nazionale delle Ricerche, Milan, Italy
| | - James B. Rowe
- MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, United Kingdom
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48
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Tison R. The fanciest sort of intentionality: Active inference, mindshaping and linguistic content. PHILOSOPHICAL PSYCHOLOGY 2022. [DOI: 10.1080/09515089.2022.2062315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Remi Tison
- Department of Philosophy, UQAM, Montreal, Québec, Canada
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49
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Kinley I, Amlung M, Becker S. Pathologies of precision: A Bayesian account of goals, habits, and episodic foresight in addiction. Brain Cogn 2022; 158:105843. [DOI: 10.1016/j.bandc.2022.105843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/02/2022] [Accepted: 01/08/2022] [Indexed: 12/20/2022]
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50
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Levin M. Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Minds. Front Syst Neurosci 2022; 16:768201. [PMID: 35401131 PMCID: PMC8988303 DOI: 10.3389/fnsys.2022.768201] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/24/2022] [Indexed: 12/11/2022] Open
Abstract
Synthetic biology and bioengineering provide the opportunity to create novel embodied cognitive systems (otherwise known as minds) in a very wide variety of chimeric architectures combining evolved and designed material and software. These advances are disrupting familiar concepts in the philosophy of mind, and require new ways of thinking about and comparing truly diverse intelligences, whose composition and origin are not like any of the available natural model species. In this Perspective, I introduce TAME-Technological Approach to Mind Everywhere-a framework for understanding and manipulating cognition in unconventional substrates. TAME formalizes a non-binary (continuous), empirically-based approach to strongly embodied agency. TAME provides a natural way to think about animal sentience as an instance of collective intelligence of cell groups, arising from dynamics that manifest in similar ways in numerous other substrates. When applied to regenerating/developmental systems, TAME suggests a perspective on morphogenesis as an example of basal cognition. The deep symmetry between problem-solving in anatomical, physiological, transcriptional, and 3D (traditional behavioral) spaces drives specific hypotheses by which cognitive capacities can increase during evolution. An important medium exploited by evolution for joining active subunits into greater agents is developmental bioelectricity, implemented by pre-neural use of ion channels and gap junctions to scale up cell-level feedback loops into anatomical homeostasis. This architecture of multi-scale competency of biological systems has important implications for plasticity of bodies and minds, greatly potentiating evolvability. Considering classical and recent data from the perspectives of computational science, evolutionary biology, and basal cognition, reveals a rich research program with many implications for cognitive science, evolutionary biology, regenerative medicine, and artificial intelligence.
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Affiliation(s)
- Michael Levin
- Allen Discovery Center at Tufts University, Medford, MA, United States
- Wyss Institute for Biologically Inspired Engineering at Harvard University, Cambridge, MA, United States
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