Parsing state mindfulness effects on neurobehavioral markers of cognitive control: A within-subject comparison of focused attention and open monitoring
Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how...
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Published in | Cognitive, affective, & behavioral neuroscience Vol. 24; no. 3; pp. 527 - 551 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
New York
Springer US
01.06.2024
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 1530-7026 1531-135X 1531-135X |
DOI | 10.3758/s13415-024-01167-y |
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Abstract | Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how mindfulness influences core cognitive functions. The purpose of the current study is to provide an initial “proof-of-concept” demonstration of a new research strategy and methodological approach designed to address previous limitations. Specifically, we implemented a novel fully within-subject state induction protocol to elucidate the neurobehavioral influence of discrete mindfulness states—focused attention (FA) and open monitoring (OM), compared against an active control—on well-established behavioral and ERP indices of executive attention and error monitoring assessed during the Eriksen flanker task. Bayesian mixed modeling was used to test preregistered hypotheses pertaining to FA and OM effects on flanker interference, the stimulus-locked P3, and the response-locked ERN and Pe. Results yielded strong but unexpected evidence that OM selectively produced a more cautious and intentional response style, characterized by higher accuracy, slower RTs, and reduced P3 amplitude. Follow-up exploratory analyses revealed that trait mindfulness moderated the influence of OM, such that individuals with greater trait mindfulness responded more cautiously and exhibited higher trial accuracy and smaller P3s. Neither FA nor OM modulated the ERN or Pe. Taken together, our findings support the promise of our approach, demonstrating that theoretically distinct mindfulness states are functionally dissociable among mindfulness-naive participants and that interactive variability associated with different operational facets of mindfulness (i.e., state vs. trait) can be modeled directly. |
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AbstractList | The past two decades in particular have witnessed an explosion of investigative scholarship aimed at discerning mindfulness effects on cognitive functioning, including at least five meta-analyses released on the topic in the past 3 years alone (Cásedas et al., 2020; Gill et al., 2020; Im, 2021; Whitfield et al., 2022; Yakobi et al., 2021), in addition to several recent narrative reviews (Gallant, 2016; Lao et al., 2016; Leyland et al., 2018; Prakash, 2021). [...]our own group recently contributed a prescriptive review (Lin, Tang et al., 2022), proposing a novel taxonomic framework and accompanying research strategy to accelerate progress within this domain. [...]it should be mentioned that although the focus is to probe state mindfulness effects on cognition, it is the intent of our group to continue highlighting the other features and applications of our approach. [...]future work will build offthe current paper to investigate other topical domains of mindfulness outside of its influence on cognitive functioning, including the use of more advanced research designs that incrementally extend the foundation covered here. [...]oversaturation of these methods pigeonholes investigation of mindfulness to that of trait mindfulness and mindfulness training, insulating investigation of mindfulness effects on cognition to select designs that fall within those operational boundaries. Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how mindfulness influences core cognitive functions. The purpose of the current study is to provide an initial "proof-of-concept" demonstration of a new research strategy and methodological approach designed to address previous limitations. Specifically, we implemented a novel fully within-subject state induction protocol to elucidate the neurobehavioral influence of discrete mindfulness states-focused attention (FA) and open monitoring (OM), compared against an active control-on well-established behavioral and ERP indices of executive attention and error monitoring assessed during the Eriksen flanker task. Bayesian mixed modeling was used to test preregistered hypotheses pertaining to FA and OM effects on flanker interference, the stimulus-locked P3, and the response-locked ERN and Pe. Results yielded strong but unexpected evidence that OM selectively produced a more cautious and intentional response style, characterized by higher accuracy, slower RTs, and reduced P3 amplitude. Follow-up exploratory analyses revealed that trait mindfulness moderated the influence of OM, such that individuals with greater trait mindfulness responded more cautiously and exhibited higher trial accuracy and smaller P3s. Neither FA nor OM modulated the ERN or Pe. Taken together, our findings support the promise of our approach, demonstrating that theoretically distinct mindfulness states are functionally dissociable among mindfulness-naive participants and that interactive variability associated with different operational facets of mindfulness (i.e., state vs. trait) can be modeled directly. Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how mindfulness influences core cognitive functions. The aim of the current study is to provide an initial “proof-of-concept” demonstration of a new research strategy and methodological approach designed to address prior limitations. Specifically, we implemented a novel fully within-subject state induction protocol to elucidate the neurobehavioral influence of discrete mindfulness states—focused attention (FA) and open monitoring (OM), compared against an active control—on well-established behavioral and ERP indices of executive attention and error monitoring assessed during the Eriksen flanker task. Bayesian mixed modeling was used to test pre-registered hypotheses pertaining to FA and OM effects on flanker interference, the stimulus-locked P3, and the response-locked ERN and Pe. Results yielded strong but unexpected evidence that OM selectively produced a more cautious and intentional response style, characterized by higher accuracy, slower RTs, and reduced P3 amplitude. Follow-up exploratory analyses revealed that trait mindfulness moderated the influence of OM, such that individuals with greater trait mindfulness responded more cautiously and exhibited higher trial accuracy and smaller P3s. Neither FA nor OM modulated the ERN or Pe. Taken together, our findings support the promise of our approach, demonstrating that theoretically distinct mindfulness states are functionally dissociable among mindfulness-naive participants, and that interactive variability associated with different operational facets of mindfulness (i.e., state vs. trait), can be modeled directly. Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how mindfulness influences core cognitive functions. The purpose of the current study is to provide an initial "proof-of-concept" demonstration of a new research strategy and methodological approach designed to address previous limitations. Specifically, we implemented a novel fully within-subject state induction protocol to elucidate the neurobehavioral influence of discrete mindfulness states-focused attention (FA) and open monitoring (OM), compared against an active control-on well-established behavioral and ERP indices of executive attention and error monitoring assessed during the Eriksen flanker task. Bayesian mixed modeling was used to test preregistered hypotheses pertaining to FA and OM effects on flanker interference, the stimulus-locked P3, and the response-locked ERN and Pe. Results yielded strong but unexpected evidence that OM selectively produced a more cautious and intentional response style, characterized by higher accuracy, slower RTs, and reduced P3 amplitude. Follow-up exploratory analyses revealed that trait mindfulness moderated the influence of OM, such that individuals with greater trait mindfulness responded more cautiously and exhibited higher trial accuracy and smaller P3s. Neither FA nor OM modulated the ERN or Pe. Taken together, our findings support the promise of our approach, demonstrating that theoretically distinct mindfulness states are functionally dissociable among mindfulness-naive participants and that interactive variability associated with different operational facets of mindfulness (i.e., state vs. trait) can be modeled directly.Over the past two decades, scientific interest in understanding the relationship between mindfulness and cognition has accelerated. However, despite considerable investigative efforts, pervasive methodological inconsistencies within the literature preclude a thorough understanding of whether or how mindfulness influences core cognitive functions. The purpose of the current study is to provide an initial "proof-of-concept" demonstration of a new research strategy and methodological approach designed to address previous limitations. Specifically, we implemented a novel fully within-subject state induction protocol to elucidate the neurobehavioral influence of discrete mindfulness states-focused attention (FA) and open monitoring (OM), compared against an active control-on well-established behavioral and ERP indices of executive attention and error monitoring assessed during the Eriksen flanker task. Bayesian mixed modeling was used to test preregistered hypotheses pertaining to FA and OM effects on flanker interference, the stimulus-locked P3, and the response-locked ERN and Pe. Results yielded strong but unexpected evidence that OM selectively produced a more cautious and intentional response style, characterized by higher accuracy, slower RTs, and reduced P3 amplitude. Follow-up exploratory analyses revealed that trait mindfulness moderated the influence of OM, such that individuals with greater trait mindfulness responded more cautiously and exhibited higher trial accuracy and smaller P3s. Neither FA nor OM modulated the ERN or Pe. Taken together, our findings support the promise of our approach, demonstrating that theoretically distinct mindfulness states are functionally dissociable among mindfulness-naive participants and that interactive variability associated with different operational facets of mindfulness (i.e., state vs. trait) can be modeled directly. |
Author | White, Marne L. Braver, Todd S. Viravan, Natee Lin, Yanli |
AuthorAffiliation | 2 Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand 1 Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA |
AuthorAffiliation_xml | – name: 2 Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand – name: 1 Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, Missouri, USA |
Author_xml | – sequence: 1 givenname: Yanli surname: Lin fullname: Lin, Yanli email: lyanli@wustl.edu organization: Department of Psychological and Brain Sciences, Washington University in St. Louis – sequence: 2 givenname: Marne L. surname: White fullname: White, Marne L. organization: Department of Psychological and Brain Sciences, Washington University in St. Louis – sequence: 3 givenname: Natee surname: Viravan fullname: Viravan, Natee organization: Department of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University – sequence: 4 givenname: Todd S. surname: Braver fullname: Braver, Todd S. organization: Department of Psychological and Brain Sciences, Washington University in St. Louis |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38351398$$D View this record in MEDLINE/PubMed |
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SubjectTerms | Adolescent Adult Attention - physiology Bayes Theorem Behavioral Science and Psychology Brain - physiology Cognition & reasoning Cognition - physiology Cognitive Psychology Design Electroencephalography - methods Evoked Potentials - physiology Executive Function - physiology Female Humans Hypotheses Influence Investigations Male Mindfulness Mindfulness - methods Neuropsychological Tests Neurosciences Psychology Psychomotor Performance - physiology Reaction Time - physiology Research Article Research design Taxonomy Young Adult |
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Title | Parsing state mindfulness effects on neurobehavioral markers of cognitive control: A within-subject comparison of focused attention and open monitoring |
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