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Willinger D, Häberling I, Ilioska I, Berger G, Walitza S, Brem S. Weakened effective connectivity between salience network and default mode network during resting state in adolescent depression. Front Psychiatry 2024; 15:1386984. [PMID: 38638415 PMCID: PMC11024787 DOI: 10.3389/fpsyt.2024.1386984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 03/18/2024] [Indexed: 04/20/2024] Open
Abstract
Adolescent major depressive disorder (MDD) is associated with altered resting-state connectivity between the default mode network (DMN) and the salience network (SN), which are involved in self-referential processing and detecting and filtering salient stimuli, respectively. Using spectral dynamical causal modelling, we investigated the effective connectivity and input sensitivity between key nodes of these networks in 30 adolescents with MDD and 32 healthy controls while undergoing resting-state fMRI. We found that the DMN received weaker inhibition from the SN and that the medial prefrontal cortex and the anterior cingulate cortex showed reduced self-inhibition in MDD, making them more prone to external influences. Moreover, we found that selective serotonin reuptake inhibitor (SSRI) intake was associated with decreased and increased self-inhibition of the SN and DMN, respectively, in patients. Our findings suggest that adolescent MDD is characterized by a hierarchical imbalance between the DMN and the SN, which could affect the integration of emotional and self-related information. We propose that SSRIs may help restore network function by modulating excitatory/inhibitory balance in the DMN and the SN. Our study highlights the potential of prefrontal-amygdala interactions as a biomarker and a therapeutic target for adolescent depression.
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Affiliation(s)
- David Willinger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
- Department of Psychology and Psychodynamics, Karl Landsteiner University of Health Sciences, Krems an der Donau, Austria
| | - Isabelle Häberling
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Iva Ilioska
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands
| | - Gregor Berger
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
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2
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Karvelis P, Charlton CE, Allohverdi SG, Bedford P, Hauke DJ, Diaconescu AO. Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review. Netw Neurosci 2022; 6:1066-1103. [PMID: 38800454 PMCID: PMC11117101 DOI: 10.1162/netn_a_00233] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 01/14/2022] [Indexed: 05/29/2024] Open
Abstract
Major depressive disorder is a heterogeneous diagnostic category with multiple available treatments. With the goal of optimizing treatment selection, researchers are developing computational models that attempt to predict treatment response based on various pretreatment measures. In this paper, we review studies that use brain activity data to predict treatment response. Our aim is to highlight and clarify important methodological differences between various studies that relate to the incorporation of domain knowledge, specifically within two approaches delineated as data-driven and theory-driven. We argue that theory-driven generative modeling, which explicitly models information processing in the brain and thus can capture disease mechanisms, is a promising emerging approach that is only beginning to be utilized in treatment response prediction. The predictors extracted via such models could improve interpretability, which is critical for clinical decision-making. We also identify several methodological limitations across the reviewed studies and provide suggestions for addressing them. Namely, we consider problems with dichotomizing treatment outcomes, the importance of investigating more than one treatment in a given study for differential treatment response predictions, the need for a patient-centered approach for defining treatment outcomes, and finally, the use of internal and external validation methods for improving model generalizability.
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Affiliation(s)
- Povilas Karvelis
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Colleen E. Charlton
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Shona G. Allohverdi
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Peter Bedford
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
| | - Daniel J. Hauke
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
- Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | - Andreea O. Diaconescu
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- University of Toronto, Department of Psychiatry, Toronto, ON, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Department of Psychology, University of Toronto, Toronto, ON, Canada
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3
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McGovern HT, De Foe A, Biddell H, Leptourgos P, Corlett P, Bandara K, Hutchinson BT. Learned uncertainty: The free energy principle in anxiety. Front Psychol 2022; 13:943785. [PMID: 36248528 PMCID: PMC9559819 DOI: 10.3389/fpsyg.2022.943785] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 07/21/2022] [Indexed: 11/13/2022] Open
Abstract
Generalized anxiety disorder is among the world’s most prevalent psychiatric disorders and often manifests as persistent and difficult to control apprehension. Despite its prevalence, there is no integrative, formal model of how anxiety and anxiety disorders arise. Here, we offer a perspective derived from the free energy principle; one that shares similarities with established constructs such as learned helplessness. Our account is simple: anxiety can be formalized as learned uncertainty. A biological system, having had persistent uncertainty in its past, will expect uncertainty in its future, irrespective of whether uncertainty truly persists. Despite our account’s intuitive simplicity—which can be illustrated with the mere flip of a coin—it is grounded within the free energy principle and hence situates the formation of anxiety within a broader explanatory framework of biological self-organization and self-evidencing. We conclude that, through conceptualizing anxiety within a framework of working generative models, our perspective might afford novel approaches in the clinical treatment of anxiety and its key symptoms.
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Affiliation(s)
- H. T. McGovern
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - Alexander De Foe
- School of Educational Psychology and Counselling, Monash University, Melbourne, VIC, Australia
| | - Hannah Biddell
- School of Psychology, The University of Queensland, Brisbane, QLD, Australia
| | - Pantelis Leptourgos
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Philip Corlett
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Kavindu Bandara
- School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Brendan T. Hutchinson
- Research School of Psychology, The Australian National University, Canberra, ACT, Australia
- *Correspondence: Brendan T. Hutchinson,
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4
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Rabeyron T. Psychoanalytic psychotherapies and the free energy principle. Front Hum Neurosci 2022; 16:929940. [PMID: 36016665 PMCID: PMC9395580 DOI: 10.3389/fnhum.2022.929940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022] Open
Abstract
In this paper I propose a model of the fundamental components of psychoanalytic psychotherapies that I try to explicate with contemporary theories of the Bayesian brain and the Free Energy Principle (FEP). I first show that psychoanalytic therapies require a setting (made up of several envelopes), a particular psychic state and specific processes (transference, free association, dreaming, play, reflexivity and narrativity) in order to induce psychic transformations. I then analyze how these processes of transformations operate and how they can be enlightened by the FEP. I first underline the fact that psychoanalytic therapies imply non-linear processes taking time to unfold and require a setting containing high entropy processes. More precisely, these processes are characterized by an interplay between extension and reduction of free energy. This interplay also favors the emergence of new orders of subjective experience, which occur following states of disorder, according to a certain energetic threshold allowing the modification and improvement of mental functioning. These high entropy states are also characterized by random functioning and psychic malleability which favors the exploration of subjective experience in an original manner. Overall, the approach proposed in this paper support the dialogue between psychoanalysis and other fields of research while underlining how psychoanalytical theoretical and conceptual constructs can also be useful to other disciplines, in particular the neurosciences of subjectivity.
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Affiliation(s)
- Thomas Rabeyron
- Department of Psychology (Interpsy), University of Lorraine, Nancy, France
- Department of Psychology (KPU), University of Edinburgh, Edinburgh, United Kingdom
- Institut Universitaire de France, Paris, France
- *Correspondence: Thomas Rabeyron
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5
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Paans O, Ehlen B. Action-Shapers and Their Neuro-Immunological Foundations. Front Psychol 2022; 13:917876. [PMID: 35910998 PMCID: PMC9336682 DOI: 10.3389/fpsyg.2022.917876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 06/20/2022] [Indexed: 12/05/2022] Open
Abstract
Not all our intentions translate into actions, as our capacity to act may be influenced by a variety of mental and biochemical factors. In this article, we present a comprehensive account of how neuro-immunological processes affect our intentional abilities and our capacity to act. We do so by extending the theory of thought-shapers (TTS) through the notion of action-shapers and combining this theory with the essential embodiment thesis (EE). This thesis about the mind-body relation says that human minds are necessarily and completely embodied. Action-shapers dynamically constitute the action-space of individuals, affecting their capacity to take action or to select one course of action over another. We highlight the effects and interactions of neuro-immunological effective processes in the body to demonstrate how they shape the action-space. In this article, we consider neuro-immunological effective processes that influence the gut-brain axis, chronic stress, high levels of sugar intake, the amygdala and the effects of prolonged stress. We investigate the effects of these processes on the perception and on the capacity to form intentions and act on them. We conclude the paper by providing a concise account of action-shapers, in which we attempt to summarize the line of argumentation and provide suggestions for further research.
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6
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Trapp S, Guitart-Masip M, Schröger E. A link between age, affect, and predictions? Eur J Ageing 2022; 19:945-952. [PMID: 36692760 PMCID: PMC9729523 DOI: 10.1007/s10433-022-00710-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2022] [Indexed: 01/26/2023] Open
Abstract
The prevalence of depressive symptoms decreases from late adolescence to middle age adulthood. Furthermore, despite significant losses in motor and cognitive functioning, overall emotional well-being tends to increase with age, and a bias to positive information has been observed multiple times. Several causes have been discussed for this age-related development, such as improvement in emotion regulation, less regret, and higher socioeconomic status. Here, we explore a further explanation. Our minds host mental models that generate predictions about forthcoming events to successfully interact with our physical and social environment. To keep these models faithful, the difference between the predicted and the actual event, that is, the prediction error, is computed. We argue that prediction errors are attenuated in the middle age and older mind, which, in turn, may translate to less negative affect, lower susceptibility to affective disorders, and possibly, to a bias to positive information. Our proposal is primarily linked to perceptual inferences, but may hold as well for higher-level, cognitive, and emotional forms of error processing.
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Affiliation(s)
- Sabrina Trapp
- grid.434949.70000 0001 1408 3925Macromedia University of Applied Sciences, Munich, Germany ,grid.4714.60000 0004 1937 0626Aging Research Center, Karolinska Institutet, 17165 Stockholm, Sweden
| | - Marc Guitart-Masip
- grid.4714.60000 0004 1937 0626Aging Research Center, Karolinska Institutet, 17165 Stockholm, Sweden ,grid.467087.a0000 0004 0442 1056Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden ,grid.83440.3b0000000121901201Max Planck University College London Centre for Computational Psychiatry and Ageing Research, University College London, London, WC1B 5EH UK ,grid.9647.c0000 0004 7669 9786Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, Germany
| | - Erich Schröger
- grid.4714.60000 0004 1937 0626Aging Research Center, Karolinska Institutet, 17165 Stockholm, Sweden ,grid.9647.c0000 0004 7669 9786Wilhelm Wundt Institute for Psychology, Leipzig University, Leipzig, Germany
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7
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From broken models to treatment selection: Active inference as a tool to guide clinical research and practice. CLINICAL PSYCHOLOGY IN EUROPE 2022; 4:e9697. [DOI: 10.32872/cpe.9697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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8
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Hauke G, Lohr C. Piloting the Update: The Use of Therapeutic Relationship for Change - A Free Energy Account. Front Psychol 2022; 13:842488. [PMID: 35478746 PMCID: PMC9036100 DOI: 10.3389/fpsyg.2022.842488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 03/02/2022] [Indexed: 11/13/2022] Open
Abstract
We apply the Free Energy Principle (FEP) to cognitive behavioral therapy (CBT). FEP describes the basic functioning of the brain as a predictive organ and states that any self-organizing system that is in equilibrium with its environment must minimize its free energy. Based on an internal model of the world and the self, predictions-so-called priors-are created, which are matched with the information input. The sum of prediction errors corresponds to the Free Energy, which must be minimized. Internal models can be identified with the cognitive-affective schemas of the individual that has become dysfunctional in patients. The role of CBT in this picture is to help the patient update her/his priors. They have evolved in learning history and no longer provide adaptive predictions. We discuss the process of updating in terms of the exploration-exploitation dilemma. This consists of the extent to which one relies on what one already has, i.e., whether one continues to maintain and "exploit" one's previous priors ("better safe than sorry") or whether one does explore new data that lead to an update of priors. Questioning previous priors triggers stress, which is associated with increases in Free Energy in short term. The role of therapeutic relationship is to buffer this increase in Free Energy, thereby increasing the level of perceived safety. The therapeutic relationship is represented in a dual model of affective alliance and goal attainment alliance and is aligned with FEP. Both forms of alliance support exploration and updating of priors. All aspects are illustrated with the help of a clinical case example.
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9
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Baker J, Gamer M, Rauh J, Brassen S. Placebo induced expectations of mood enhancement generate a positivity effect in emotional processing. Sci Rep 2022; 12:5345. [PMID: 35351936 PMCID: PMC8964732 DOI: 10.1038/s41598-022-09342-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 03/21/2022] [Indexed: 11/09/2022] Open
Abstract
A perceptual bias towards negative emotions is a consistent finding in mood disorders and a major target of therapeutic interventions. Placebo responses in antidepressant treatment are substantial, but it is unclear whether and how underlying expectancy effects can modulate response biases to emotional inputs. In a first attempt to approach this question, we investigated how placebo induced expectation can shape the perception of specific emotional stimuli in healthy individuals. In a controlled cross-over design, positive treatment expectations were induced by verbal instructions and a hidden training manipulation combined with an alleged oxytocin nasal spray before participants performed an emotion classification task on happy and fearful facial expressions with varying intensity. Analyses of response criterion and discrimination ability as derived from emotion-specific psychometric functions demonstrate that expectation specifically lowered participants’ threshold for identifying happy emotions in general, while they became less sensitive to subtle differences in emotional expressions. These indications of a positivity bias were directly correlated with participants’ treatment expectations as well as subjective experiences of treatment effects and went along with a significant mood enhancement. Our findings show that expectations can induce a perceptual positivity effect in healthy individuals which is probably modulated by top-down emotion regulation and which may be able to improve mood state. Clinical implications of these promising results now need to be explored in studies of expectation manipulation in patients with mood disorders.
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10
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Rappe S, Wilkinson S. Counterfactual cognition and psychosis: adding complexity to predictive processing accounts. PHILOSOPHICAL PSYCHOLOGY 2022. [DOI: 10.1080/09515089.2022.2054789] [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)
- Sofiia Rappe
- Faculty of Philosophy, Ludwig-Maximilians-Universität München, München, Germany
- Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität München, München, Germany
| | - Sam Wilkinson
- Department of Sociology, Philosophy, and Anthropology, University of Exeter, Exeter, UK
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11
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Stress and its sequelae: An active inference account of the etiological pathway from allostatic overload to depression. Neurosci Biobehav Rev 2022; 135:104590. [DOI: 10.1016/j.neubiorev.2022.104590] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 01/06/2022] [Accepted: 02/16/2022] [Indexed: 12/28/2022]
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12
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Strube A, Rose M, Fazeli S, Büchel C. Alpha-to-beta- and gamma-band activity reflect predictive coding in affective visual processing. Sci Rep 2021; 11:23492. [PMID: 34873255 PMCID: PMC8648824 DOI: 10.1038/s41598-021-02939-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 11/22/2021] [Indexed: 12/15/2022] Open
Abstract
Processing of negative affective pictures typically leads to desynchronization of alpha-to-beta frequencies (ERD) and synchronization of gamma frequencies (ERS). Given that in predictive coding higher frequencies have been associated with prediction errors, while lower frequencies have been linked to expectations, we tested the hypothesis that alpha-to-beta ERD and gamma ERS induced by aversive pictures are associated with expectations and prediction errors, respectively. We recorded EEG while volunteers were involved in a probabilistically cued affective picture task using three different negative valences to produce expectations and prediction errors. Our data show that alpha-to-beta band activity after stimulus presentation was related to the expected valence of the stimulus as predicted by a cue. The absolute mismatch of the expected and actual valence, which denotes an absolute prediction error was related to increases in alpha, beta and gamma band activity. This demonstrates that top-down predictions and bottom-up prediction errors are represented in typical spectral patterns associated with affective picture processing. This study provides direct experimental evidence that negative affective picture processing can be described by neuronal predictive coding computations.
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Affiliation(s)
- Andreas Strube
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany.
| | - Michael Rose
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Sepideh Fazeli
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
| | - Christian Büchel
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, 20246, Hamburg, Germany
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13
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Interoception abnormalities in schizophrenia: A review of preliminary evidence and an integration with Bayesian accounts of psychosis. Neurosci Biobehav Rev 2021; 132:757-773. [PMID: 34823914 DOI: 10.1016/j.neubiorev.2021.11.016] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 10/31/2021] [Accepted: 11/13/2021] [Indexed: 01/07/2023]
Abstract
Schizophrenia research has traditionally focused almost exclusively on how the brain interprets the outside world. However, our internal bodily milieu is also central to how we interpret the world and construct our reality: signals from within the body are critical for not only basic survival, but also a wide range of brain functions from basic perception, emotion, and motivation, to sense of self. In this article, we propose that interoception-the processing of bodily signals-may have implications for a wide range of clinical symptoms in schizophrenia and may thus provide key insights into illness mechanisms. We start with an overview of interoception pathways. Then we provide a review of direct and indirect findings in various interoceptive systems in schizophrenia and interpret these findings in the context of computational frameworks that model interoception as hierarchical Bayesian inference. Finally, we propose a conceptual model of how altered interoceptive inference may contribute to specific schizophrenia symptoms-negative symptoms in particular-and suggest directions for future research, including potential new avenues of treatment.
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14
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Fauvel B, Mutlu J, Piolino P. Propriété égolytique des psychédéliques et intérêts dans le traitement de la dépression. PSYCHOLOGIE FRANCAISE 2021. [DOI: 10.1016/j.psfr.2020.09.007] [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: 10/22/2022]
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15
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Jerath R, Beveridge C. Harnessing the Spatial Foundation of Mind in Breaking Vicious Cycles in Anxiety, Insomnia, and Depression: The Future of Virtual Reality Therapy Applications. Front Psychiatry 2021; 12:645289. [PMID: 34305666 PMCID: PMC8295564 DOI: 10.3389/fpsyt.2021.645289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 06/08/2021] [Indexed: 11/24/2022] Open
Abstract
Mental Illnesses, particularly anxiety, insomnia, and depression often involve vicious cycles which are self-perpetuating and can trap one into a more chronic state. For example in the case of insomnia, sympathetic overactivity, intrusive thoughts, and emotional instability due to sleep loss can perpetuate further sleep loss the next night and so on. In this article, we put forward a perspective on breaking these vicious cycles based on preeminent theories in global and spatial cognition, that the foundation of the conscious mind is a spatial coordinate system. Based on this we discuss the potential and future of virtual reality therapeutic applications which utilize massive virtual spaces along with biofeedback designed to help break perpetual cycles in depression, anxiety, and insomnia. "Massive spaces" are those which are truly expansive such as when looking to the clear night sky. These virtual realities may take the form of a night sky, fantastical cosmic scenes, or other scenes such as mountain tops. We also hope to inspire research into such a spatial foundation of mind, use of perceived massive spaces for therapy, and the integration of biofeedback into virtual therapies.
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Affiliation(s)
- Ravinder Jerath
- Charitable Medical Healthcare Foundation, Augusta, GA, United States
| | - Connor Beveridge
- Charitable Medical Healthcare Foundation, Augusta, GA, United States
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16
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Smith R, Badcock P, Friston KJ. Recent advances in the application of predictive coding and active inference models within clinical neuroscience. Psychiatry Clin Neurosci 2021; 75:3-13. [PMID: 32860285 DOI: 10.1111/pcn.13138] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/01/2020] [Accepted: 08/25/2020] [Indexed: 12/15/2022]
Abstract
Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a 'prediction machine,' in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice.
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Affiliation(s)
- Ryan Smith
- Laureate Institute for Brain Research, Oklahoma, USA
| | - Paul Badcock
- Centre for Youth Mental Health, The University of Melbourne, Victoria, Australia.,Orygen, Victoria, Australia.,Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK
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17
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Haarsma J, Harmer CJ, Tamm S. A continuum hypothesis of psychotomimetic rapid antidepressants. Brain Neurosci Adv 2021; 5:23982128211007772. [PMID: 34017922 PMCID: PMC8114748 DOI: 10.1177/23982128211007772] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 03/08/2021] [Indexed: 01/10/2023] Open
Abstract
Ketamine, classical psychedelics and sleep deprivation are associated with rapid effects on depression. Interestingly, these interventions also have common psychotomimetic actions, mirroring aspects of psychosis such as an altered sense of self, perceptual distortions and distorted thinking. This raises the question whether these interventions might be acute antidepressants through the same mechanisms that underlie some of their psychotomimetic effects. That is, perhaps some symptoms of depression can be understood as occupying the opposite end of a spectrum where elements of psychosis can be found on the other side. This review aims at reviewing the evidence underlying a proposed continuum hypothesis of psychotomimetic rapid antidepressants, suggesting that a range of psychotomimetic interventions are also acute antidepressants as well as trying to explain these common features in a hierarchical predictive coding framework, where we hypothesise that these interventions share a common mechanism by increasing the flexibility of prior expectations. Neurobiological mechanisms at play and the role of different neuromodulatory systems affected by these interventions and their role in controlling the precision of prior expectations and new sensory evidence will be reviewed. The proposed hypothesis will also be discussed in relation to other existing theories of antidepressants. We also suggest a number of novel experiments to test the hypothesis and highlight research areas that could provide further insights, in the hope to better understand the acute antidepressant properties of these interventions.
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Affiliation(s)
- Joost Haarsma
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Catherine J Harmer
- Department of Psychiatry and Oxford Health NHS Foundation Trust, Warneford Hospital, University of Oxford, Oxford, UK
| | - Sandra Tamm
- Department of Psychiatry and Oxford Health NHS Foundation Trust, Warneford Hospital, University of Oxford, Oxford, UK
- Stress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
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Hobson JA, Gott JA, Friston KJ. Minds and Brains, Sleep and Psychiatry. PSYCHIATRIC RESEARCH AND CLINICAL PRACTICE 2020; 3:12-28. [PMID: 35174319 PMCID: PMC8834904 DOI: 10.1176/appi.prcp.20200023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/14/2020] [Indexed: 11/30/2022] Open
Abstract
Objective This article offers a philosophical thesis for psychiatric disorders that rests upon some simple truths about the mind and brain. Specifically, it asks whether the dual aspect monism—that emerges from sleep research and theoretical neurobiology—can be applied to pathophysiology and psychopathology in psychiatry. Methods Our starting point is that the mind and brain are emergent aspects of the same (neuronal) dynamics; namely, the brain–mind. Our endpoint is that synaptic dysconnection syndromes inherit the same dual aspect; namely, aberrant inference or belief updating on the one hand, and a failure of neuromodulatory synaptic gain control on the other. We start with some basic considerations from sleep research that integrate the phenomenology of dreaming with the neurophysiology of sleep. Results We then leverage this treatment by treating the brain as an organ of inference. Our particular focus is on the role of precision (i.e., the representation of uncertainty) in belief updating and the accompanying synaptic mechanisms. Conclusions Finally, we suggest a dual aspect approach—based upon belief updating (i.e., mind processes) and its neurophysiological implementation (i.e., brain processes)—has a wide explanatory compass for psychiatry and various movement disorders. This approach identifies the kind of pathophysiology that underwrites psychopathology—and points to certain psychotherapeutic and psychopharmacological targets, which may stand in mechanistic relation to each other. The ‘mind’ emerges from Bayesian belief updating in the ‘brain’ Psychopathology can be read as aberrant belief updating. Aberrant belief updating follows from any neuromodulatory synaptopathy
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Affiliation(s)
- J. Allan Hobson
- Division of Sleep Medicine Harvard Medical School Boston Massachusetts
| | - Jarrod A. Gott
- Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen
| | - Karl J. Friston
- The Wellcome Centre for Human Neuroimaging University College London London
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Pike AC, Printzlau FAB, von Lautz AH, Harmer CJ, Stokes MG, Noonan MP. Attentional Control in Subclinical Anxiety and Depression: Depression Symptoms Are Associated With Deficits in Target Facilitation, Not Distractor Inhibition. Front Psychol 2020; 11:1660. [PMID: 32793049 PMCID: PMC7387660 DOI: 10.3389/fpsyg.2020.01660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/18/2020] [Indexed: 11/13/2022] Open
Abstract
Mood and anxiety disorders are associated with deficits in attentional control involving emotive and non-emotive stimuli. Current theories focus on impaired attentional inhibition of distracting stimuli in producing these deficits. However, standard attention tasks struggle to separate distractor inhibition from target facilitation. Here, we investigate whether distractor inhibition underlies these deficits using neutral stimuli in a behavioral task specifically designed to tease apart these two attentional processes. Healthy participants performed a four-location Posner cueing paradigm and completed self-report questionnaires measuring depressive symptoms and trait anxiety. Using regression analyses, we found no relationship between distractor inhibition and mood symptoms or trait anxiety. However, we find a relationship between target facilitation and depression. Specifically, higher depressive symptoms were associated with reduced target facilitation in a task-version in which the target location repeated over a block of trials. We suggest this may relate to findings previously linking depression with deficits in predictive coding in clinical populations.
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Affiliation(s)
- Alexandra C. Pike
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Institute of Cognitive Neuroscience, University College London, London, United Kingdom
| | | | | | - Catherine J. Harmer
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Oxford Health National Health Service Foundation Trust, Warneford Hospital, Oxford, United Kingdom
| | - Mark G. Stokes
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
| | - MaryAnn P. Noonan
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
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20
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Krupnik V. Trauma or Drama: A Predictive Processing Perspective on the Continuum of Stress. Front Psychol 2020; 11:1248. [PMID: 32714230 PMCID: PMC7344261 DOI: 10.3389/fpsyg.2020.01248] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 05/13/2020] [Indexed: 02/01/2023] Open
Abstract
The notion of psychological trauma has been liberally used both in clinical literature and general discourse. However, no consensus exists on its exact meaning and definition. Whereas traditionally trauma has been mostly associated with criterion A of acute and posttraumatic stress disorders (PTSDs) as defined in the Diagnostic and Statistical Manual of Mental Disorders, many researchers find this definition too constraining and not accounting for the complexity and many aspects of trauma. This touched off a quest for a broader more accommodating trauma concept, and a dimensional view of trauma with PTSD as its extreme manifestation has been suggested. The dimensional view also has its detractors arguing that "conceptual bracket creep" may undermine the category's utility. Both categorical and dimensional views mostly rely on trauma's clinical phenomenology and lack a unified theoretical basis. In an attempt to reconcile this contradiction, a hybrid categorical-dimensional model of trauma based on the general theory of stress has been recently proposed (Krupnik, 2019). Herein, I explore the categorical boundary of the trauma concept, as posited by the model, within the predictive processing framework (PPF). I integrate the PPF view with the theory of stress. In conclusion, I briefly discuss how the proposed model of trauma may guide clinical practice.
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Affiliation(s)
- Valery Krupnik
- Department of Mental Health, Naval Hospital Camp Pendleton, Camp Pendleton, CA, United States
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21
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Ho JT, Preller KH, Lenggenhager B. Neuropharmacological modulation of the aberrant bodily self through psychedelics. Neurosci Biobehav Rev 2020; 108:526-541. [DOI: 10.1016/j.neubiorev.2019.12.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 11/18/2019] [Accepted: 12/04/2019] [Indexed: 12/13/2022]
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22
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Smith R, Lane RD, Parr T, Friston KJ. Neurocomputational mechanisms underlying emotional awareness: Insights afforded by deep active inference and their potential clinical relevance. Neurosci Biobehav Rev 2019; 107:473-491. [DOI: 10.1016/j.neubiorev.2019.09.002] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 08/30/2019] [Accepted: 09/02/2019] [Indexed: 12/22/2022]
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23
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Badcock PB, Friston KJ, Ramstead MJD, Ploeger A, Hohwy J. The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2019; 19:1319-1351. [PMID: 31115833 PMCID: PMC6861365 DOI: 10.3758/s13415-019-00721-3] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The purpose of this review was to integrate leading paradigms in psychology and neuroscience with a theory of the embodied, situated human brain, called the Hierarchically Mechanistic Mind (HMM). The HMM describes the brain as a complex adaptive system that functions to minimize the entropy of our sensory and physical states via action-perception cycles generated by hierarchical neural dynamics. First, we review the extant literature on the hierarchical structure of the brain. Next, we derive the HMM from a broader evolutionary systems theory that explains neural structure and function in terms of dynamic interactions across four nested levels of biological causation (i.e., adaptation, phylogeny, ontogeny, and mechanism). We then describe how the HMM aligns with a global brain theory in neuroscience called the free-energy principle, leveraging this theory to mathematically formulate neural dynamics across hierarchical spatiotemporal scales. We conclude by exploring the implications of the HMM for psychological inquiry.
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Affiliation(s)
- Paul B Badcock
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia.
- Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
- Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia.
| | - Karl J Friston
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Maxwell J D Ramstead
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
- Department of Philosophy, McGill University, Montreal, QC, Canada
- Division of Social and Transcultural Psychiatry, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Annemie Ploeger
- Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Jakob Hohwy
- Cognition & Philosophy Lab, Monash University, Clayton, VIC, Australia
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24
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Carhart-Harris RL, Friston KJ. REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics. Pharmacol Rev 2019; 71:316-344. [PMID: 31221820 PMCID: PMC6588209 DOI: 10.1124/pr.118.017160] [Citation(s) in RCA: 349] [Impact Index Per Article: 69.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
This paper formulates the action of psychedelics by integrating the free-energy principle and entropic brain hypothesis. We call this formulation relaxed beliefs under psychedelics (REBUS) and the anarchic brain, founded on the principle that-via their entropic effect on spontaneous cortical activity-psychedelics work to relax the precision of high-level priors or beliefs, thereby liberating bottom-up information flow, particularly via intrinsic sources such as the limbic system. We assemble evidence for this model and show how it can explain a broad range of phenomena associated with the psychedelic experience. With regard to their potential therapeutic use, we propose that psychedelics work to relax the precision weighting of pathologically overweighted priors underpinning various expressions of mental illness. We propose that this process entails an increased sensitization of high-level priors to bottom-up signaling (stemming from intrinsic sources), and that this heightened sensitivity enables the potential revision and deweighting of overweighted priors. We end by discussing further implications of the model, such as that psychedelics can bring about the revision of other heavily weighted high-level priors, not directly related to mental health, such as those underlying partisan and/or overly-confident political, religious, and/or philosophical perspectives. SIGNIFICANCE STATEMENT: Psychedelics are capturing interest, with efforts underway to bring psilocybin therapy to marketing authorisation and legal access within a decade, spearheaded by the findings of a series of phase 2 trials. In this climate, a compelling unified model of how psychedelics alter brain function to alter consciousness would have appeal. Towards this end, we have sought to integrate a leading model of global brain function, hierarchical predictive coding, with an often-cited model of the acute action of psychedelics, the entropic brain hypothesis. The resulting synthesis states that psychedelics work to relax high-level priors, sensitising them to liberated bottom-up information flow, which, with the right intention, care provision and context, can help guide and cultivate the revision of entrenched pathological priors.
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Affiliation(s)
- R L Carhart-Harris
- Centre for Psychedelic Research, Division of Brain Sciences, Imperial College London, London, United Kingdom (R.L.C.-H.); and Institute of Neurology, Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom (K.J.F.)
| | - K J Friston
- Centre for Psychedelic Research, Division of Brain Sciences, Imperial College London, London, United Kingdom (R.L.C.-H.); and Institute of Neurology, Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom (K.J.F.)
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25
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Brinkman L, Dotsch R, Zondergeld J, Koevoets MGJC, Aarts H, van Haren NEM. Visualizing mental representations in schizophrenia patients: A reverse correlation approach. SCHIZOPHRENIA RESEARCH-COGNITION 2019; 17:100138. [PMID: 31008060 PMCID: PMC6454059 DOI: 10.1016/j.scog.2019.100138] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/11/2019] [Accepted: 03/13/2019] [Indexed: 12/04/2022]
Abstract
Schizophrenia patients have difficulties recognizing emotional states from faces, in particular those with negative valence, with severe consequences for daily life. What do these patients see in their minds eye, when they think of a face expressing a particular emotion or trait? The content of such mental representations can shed light into the nature of their deficits, but are usually inaccessible. For the first time, we explored the applicability of reverse correlation, which has been successfully used to visualize mental representations in healthy populations, to visualize mental representations in schizophrenia patients. We investigated mental representations of trustworthy faces, a primary dimension of social face evaluation that is highly correlated with valence. Patients (n = 23) and healthy controls (n = 34) classified images of noise-distorted faces as ‘trustworthy’, ‘untrustworthy’ or ‘neutral’. We visualized their mental representations of these concepts by averaging the noise patterns based on their classifications. These visualizations were then rated on trustworthiness by an independent sample of participants. Patients were able to perform the reverse correlation task, with response times and biases similar to those of healthy controls, and the obtained images vividly reflected the respective constructs of interest. However, there were no significant differences between the ratings of the visualizations of patients and controls. Conclusion: These novel findings provide a proof of principle that the reverse correlation technique can be applied to investigate mental representations in schizophrenia patients.
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Affiliation(s)
- Loek Brinkman
- department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Ron Dotsch
- department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Jelmer Zondergeld
- department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Martijn G J C Koevoets
- University Medical Centre Utrecht Brain Centre, dept of Psychiatry, Utrecht, The Netherlands
| | - Henk Aarts
- department of Psychology, Utrecht University, Utrecht, the Netherlands
| | - Neeltje E M van Haren
- University Medical Centre Utrecht Brain Centre, dept of Psychiatry, Utrecht, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, the Netherlands
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26
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Clark JE, Watson S, Friston KJ. What is mood? A computational perspective. Psychol Med 2018; 48:2277-2284. [PMID: 29478431 PMCID: PMC6340107 DOI: 10.1017/s0033291718000430] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 01/08/2018] [Accepted: 02/01/2018] [Indexed: 12/25/2022]
Abstract
The neurobiological understanding of mood, and by extension mood disorders, remains elusive despite decades of research implicating several neuromodulator systems. This review considers a new approach based on existing theories of functional brain organisation. The free energy principle (a.k.a. active inference), and its instantiation in the Bayesian brain, offers a complete and simple formulation of mood. It has been proposed that emotions reflect the precision of - or certainty about - the predicted sensorimotor/interoceptive consequences of action. By extending this reasoning, in a hierarchical setting, we suggest mood states act as (hyper) priors over uncertainty (i.e. emotions). Here, we consider the same computational pathology in the proprioceptive and interoceptive (behavioural and autonomic) domain in order to furnish an explanation for mood disorders. This formulation reconciles several strands of research at multiple levels of enquiry.
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Affiliation(s)
| | - Stuart Watson
- Newcastle University, Newcastle Upon Tyne, UK
- Northumberland Tyne and Wear NHS Foundation Trust, Newcastle Upon Tyne, UK
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27
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Prosser A, Friston KJ, Bakker N, Parr T. A Bayesian Account of Psychopathy: A Model of Lacks Remorse and Self-Aggrandizing. COMPUTATIONAL PSYCHIATRY (CAMBRIDGE, MASS.) 2018; 2:92-140. [PMID: 30381799 PMCID: PMC6184370 DOI: 10.1162/cpsy_a_00016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/02/2017] [Accepted: 04/27/2018] [Indexed: 12/28/2022]
Abstract
This article proposes a formal model that integrates cognitive and psychodynamic psychotherapeutic models of psychopathy to show how two major psychopathic traits called lacks remorse and self-aggrandizing can be understood as a form of abnormal Bayesian inference about the self. This model draws on the predictive coding (i.e., active inference) framework, a neurobiologically plausible explanatory framework for message passing in the brain that is formalized in terms of hierarchical Bayesian inference. In summary, this model proposes that these two cardinal psychopathic traits reflect entrenched maladaptive Bayesian inferences about the self, which defend against the experience of deep-seated, self-related negative emotions, specifically shame and worthlessness. Support for the model in extant research on the neurobiology of psychopathy and quantitative simulations are provided. Finally, we offer a preliminary overview of a novel treatment for psychopathy that rests on our Bayesian formulation.
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Affiliation(s)
- Aaron Prosser
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, Canada
| | - Karl J. Friston
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
| | - Nathan Bakker
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Thomas Parr
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
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28
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Williams D. Hierarchical Bayesian models of delusion. Conscious Cogn 2018; 61:129-147. [DOI: 10.1016/j.concog.2018.03.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Revised: 02/20/2018] [Accepted: 03/03/2018] [Indexed: 11/28/2022]
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29
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Fernández RS, Pedreira ME, Boccia MM. Does reconsolidation occur in natural settings? Memory reconsolidation and anxiety disorders. Clin Psychol Rev 2017; 57:45-58. [DOI: 10.1016/j.cpr.2017.08.004] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 07/28/2017] [Accepted: 08/07/2017] [Indexed: 12/11/2022]
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30
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Badcock PB, Davey CG, Whittle S, Allen NB, Friston KJ. The Depressed Brain: An Evolutionary Systems Theory. Trends Cogn Sci 2017; 21:182-194. [DOI: 10.1016/j.tics.2017.01.005] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 01/03/2017] [Accepted: 01/05/2017] [Indexed: 01/01/2023]
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31
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Krawczyk MC, Fernández RS, Pedreira ME, Boccia MM. Toward a better understanding on the role of prediction error on memory processes: From bench to clinic. Neurobiol Learn Mem 2016; 142:13-20. [PMID: 28017817 DOI: 10.1016/j.nlm.2016.12.011] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 12/14/2016] [Accepted: 12/16/2016] [Indexed: 10/20/2022]
Abstract
Experimental psychology defines Prediction Error (PE) as a mismatch between expected and current events. It represents a unifier concept within the memory field, as it is the driving force of memory acquisition and updating. Prediction error induces updating of consolidated memories in strength or content by memory reconsolidation. This process has two different neurobiological phases, which involves the destabilization (labilization) of a consolidated memory followed by its restabilization. The aim of this work is to emphasize the functional role of PE on the neurobiology of learning and memory, integrating and discussing different research areas: behavioral, neurobiological, computational and clinical psychiatry.
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Affiliation(s)
- María C Krawczyk
- Laboratorio de Neurofarmacología de los Procesos de Memoria, Cátedra de Farmacología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 956, 5(to)piso, Buenos Aires, Argentina.
| | - Rodrigo S Fernández
- Laboratorio de Neurobiología de la Memoria, Departamento de Fisiología y Biología Molecular y Celular, IFIBYNE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina. Pab. II, 2(do)piso, Buenos Aires, Argentina.
| | - María E Pedreira
- Laboratorio de Neurobiología de la Memoria, Departamento de Fisiología y Biología Molecular y Celular, IFIBYNE-CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Argentina. Pab. II, 2(do)piso, Buenos Aires, Argentina.
| | - Mariano M Boccia
- Laboratorio de Neurofarmacología de los Procesos de Memoria, Cátedra de Farmacología, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 956, 5(to)piso, Buenos Aires, Argentina.
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Petro LS, Muckli L. The laminar integration of sensory inputs with feedback signals in human cortex. Brain Cogn 2016; 112:54-57. [PMID: 27814926 PMCID: PMC5312781 DOI: 10.1016/j.bandc.2016.06.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Revised: 06/23/2016] [Accepted: 06/24/2016] [Indexed: 11/25/2022]
Abstract
Understanding how the cortex integrates feedback and feedforward signals is central to understanding brain function. The data-driven framework of apical amplification which is hypothesized to have a central role in cognition is highlighted. Human neuroimaging data provides evidence for layer-specific cortical feedback relevant for theories of predictive feedback.
The cortex constitutes the largest area of the human brain. Yet we have only a basic understanding of how the cortex performs one vital function: the integration of sensory signals (carried by feedforward pathways) with internal representations (carried by feedback pathways). A multi-scale, multi-species approach is essential for understanding the site of integration, computational mechanism and functional role of this processing. To improve our knowledge we must rely on brain imaging with improved spatial and temporal resolution and paradigms which can measure internal processes in the human brain, and on the bridging of disciplines in order to characterize this processing at cellular and circuit levels. We highlight apical amplification as one potential mechanism for integrating feedforward and feedback inputs within pyramidal neurons in the rodent brain. We reflect on the challenges and progress in applying this model neuronal process to the study of human cognition. We conclude that cortical-layer specific measures in humans will be an essential contribution for better understanding the landscape of information in cortical feedback, helping to bridge the explanatory gap.
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Affiliation(s)
- Lucy S Petro
- Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, Scotland, United Kingdom.
| | - Lars Muckli
- Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow, 58 Hillhead Street, Glasgow G12 8QB, Scotland, United Kingdom.
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