An fMRI meta-analysis of the role of the striatum in everyday-life vs laboratory-developed habits

Guida, Pasqualina; Michiels, Mario; Redgrave, Peter; Luque, David; Obeso, Ignacio

doi:10.1016/j.neubiorev.2022.104826

Cited by 7 publications

(3 citation statements)

References 194 publications

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“…These regions included activations in the bilateral nucleus accumbens and putamen, the ACC, the mPFC, and the right caudate nucleus, which are in accordance with our hypothesis and the literature (7,20,23,24,46,(54)(55)(56)(57), confirming the contributions of these regions to model-free RPE processing. Left caudate was not associated with model-free RPE in our study, as also reported by Guida and colleagues (58), indicating fewer and less strong activations in the left caudate for habitual activities in everyday-life.…”

Section: Discussionsupporting

confidence: 88%

Altered model-based prediction error signalling in the medial prefrontal cortex in patients with obsessive-compulsive disorder: An fMRI study

Sen,

Koch,

Schmitz-Koep

et al. 2024

Preprint

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BackgroundCompared to healthy individuals, patients with obsessive-compulsive disorder (OCD) are found to rely more on model-free decision-making strategies which may underlie symptom expression. It is, however, unclear whether these behavioural differences are represented in neural alterations of model-free and model-based decision-making when tested simultaneously.MethodsWe investigated the neural signatures of 22 OCD patients and 22 matched controls who completed a two-step Markov decision-making task during functional MRI scanning. We used hierarchical Bayesian modelling and Bayesian statistics to examine model-based and model-free decision-making behaviours. Parametric regressors were employed for model-free and model-based reward prediction errors to inform neural reward presentation, which we analysed using a Bayesian Multilevel Modeling (BML) approach. Associations between significant activations and symptoms as well as cognitive scores were explored using Bayesian linear regression.ResultsWhile controls received significantly more rewards and were significantly less stochastic compared to patients, both groups similarly relied on model-free decision-making strategies. Importantly, our group comparison of neural reward prediction error responses showed greater activation for model-based reward prediction error in the medial prefrontal cortex (mPFC) in OCD patients compared to controls, but no differences for model-free reward prediction error processing. Increased mPFC activity was associated with lower depressive symptoms but not with other clinical or cognitive scores.ConclusionThese findings support the notion that OCD is associated with a bias towards habitual behaviour, which may be expressed through altered mPFC activity underlying goal-directed behaviour. Tackling the hyperactivity on the mPFC may provide a new target for optimised treatment and interventions.

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Section: Discussionsupporting

confidence: 88%

Altered model-based prediction error signalling in the medial prefrontal cortex in patients with obsessive-compulsive disorder: An fMRI study

Sen,

Koch,

Schmitz-Koep

et al. 2024

Preprint

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“…The brain efficiently shifts neural responses from multiple brain areas needed when making decisions, illustrated in Fig. 2 , to the central area of the brain [ 90 – 92 ]. This area in part transmits the refinement of habitual actions.…”

Section: Main Textmentioning

confidence: 99%

Temperament impact on eating disorder symptoms and habit formation: a novel model to inform treatment

Hill

2024

J Eat Disord

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Background Temperament has long been described as the biological dimension of personality. Due to advancing brain-imaging technology, our understanding of temperament has deepened and transformed over the last 25 years. Temperament combines genetic, neurobiological and trait research. Temperament has been included peripherally in some eating disorder (ED) treatment approaches but has been ignored by most. Temperament fills a fundamental treatment gap by clarifying who is more vulnerable to develop ED and why some individuals are susceptible to specific ED symptoms while others are not. In addition, temperament targets possible treatment solutions. Main text There is a need for a novel model that incorporates and explores the role of temperament in ED treatment intervention. This paper is a metaphoric temperament model to inform treatment intervention. It describes how temperament traits influences new decisions which impact new behavioural responses. In turn, it neurobiologically tracks how and why the brain efficiently transforms new decisions into new habits. This model integrates both temperament and habit research to explore (a) what temperament is; (b) how new decisions develop into habits neurobiologically; (c) that the brain wires destructive symptoms into habits in the same way that it wires healthy/productive behaviours into habits; (d) traits that trigger ED symptoms are the same traits that influence productive behaviours; and in regard to treatment implications (e) when treatment structure and intervention target client temperaments, the potential for new healthy “trait-syntonic” habits could develop. Conclusions This paper introduces a metaphoric model that synthesizes and integrates temperament neurobiological and trait findings with ED symptoms, habits, and client trait-based solutions. The model synthesizes and integrates different research domains to establish a brain-based foundation to inform treatment intervention. The model targets clients’ temperament traits as central collections of innate self-expressions that could be utilized as tools to redirect client trait-syntonic ED responses into trait-syntonic productive outcomes. The brain bases of temperament and habit formation serve as a biological foundation for ED treatment intervention.

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“…Empirical validation that sequential tasks rely on habit learning comes from recent meta‐analyses of neural activation studies (Guida et al, 2022; Patterson & Knowton, 2018). The habit‐related sensorimotor network , especially the posterior dorsal putamen , supplementary motor area , and cerebellum , became activated when participants had extensively practiced motor‐sequence‐learning tasks.…”

Section: How Habits Guide Respondingmentioning

confidence: 99%

Measuring context–response associations that drive habits

Labrecque,

Lee,

Wood

2023

J Exper Analysis Behavior

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People achieve important life outcomes of health, financial security, and productivity by repeating operant behavior. To identify whether such operants reflect goal pursuit or habit, the present research introduces a new paradigm that yields objective measures of learning and controls for the motivations of goal pursuit. In two experiments, participants practiced a sequential task of making sushi and then completed a test of the strength of cue–response (habit) associations in memory. Finally, they repeated the sushi task without instructions while under cognitive load (designed to impede deliberation about goals). As predicted, greater task practice yielded stronger cue–response associations, which in turn promoted task success. Practice did not improve performance by enhancing goal intentions or other task motivations. We conclude that repetition facilitates performance by creating mental associations that automatically activate practiced, habitual responses upon perception of recurring context cues.

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An fMRI meta-analysis of the role of the striatum in everyday-life vs laboratory-developed habits

Cited by 7 publications

References 194 publications

Altered model-based prediction error signalling in the medial prefrontal cortex in patients with obsessive-compulsive disorder: An fMRI study

Altered model-based prediction error signalling in the medial prefrontal cortex in patients with obsessive-compulsive disorder: An fMRI study

Temperament impact on eating disorder symptoms and habit formation: a novel model to inform treatment

Measuring context–response associations that drive habits

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