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Lavalley CA, Hakimi N, Taylor S, Kuplicki R, Forthman KL, Stewart JL, Paulus MP, Khalsa SS, Smith R. Transdiagnostic failure to adapt interoceptive precision estimates across affective, substance use, and eating disorders: A replication study. medRxiv 2023:2023.10.11.23296870. [PMID: 37873454 PMCID: PMC10593015 DOI: 10.1101/2023.10.11.23296870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Recent computational theories of interoception suggest that perception of bodily states rests upon an expected reliability- or precision-weighted integration of afferent signals and prior beliefs. The computational psychiatry framework further suggests that aberrant precision-weighting may lead to misestimation of bodily states, potentially hindering effective visceral regulation and promoting psychopathology. In a previous study, we fit a Bayesian computational model of perception to behavior on a heartbeat tapping task to test whether aberrant precision-weighting was associated with misestimation of bodily states. We found that, during an interoceptive perturbation designed to amplify afferent signal precision (inspiratory breath-holding), healthy individuals increased the precision-weighting assigned to ascending cardiac signals (relative to resting conditions), while individuals with symptoms of anxiety, depression, substance use disorders, and/or eating disorders did not. A second study also replicated the pattern observed in healthy participants. In this pre-registered study, we aimed to replicate our prior findings in a new transdiagnostic patient sample (N=285) similar to the one in the original study. These new results successfully replicated those found in our previous study, indicating that, transdiagnostically, patients were unable to adjust beliefs about the reliability of interoceptive signals - preventing the ability to accurately perceive changes in their bodily state. Follow-up analyses combining samples from the previous and current study (N=719) also afforded the power to identify group differences within narrower diagnostic groups and to examine predictive accuracy when logistic regression models were trained on one sample and tested on the other. Given the increased confidence in the generalizability of these effects, future studies should examine the utility of interceptive precision measures in predicting treatment outcomes or identify whether these computational mechanisms might represent novel therapeutic targets for improving visceral regulation.
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Affiliation(s)
| | - Navid Hakimi
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | - Samuel Taylor
- Laureate Institute for Brain Research, Tulsa, OK, USA
| | | | | | - Jennifer L. Stewart
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health & Natural Sciences, The University of Tulsa, Tulsa, OK
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health & Natural Sciences, The University of Tulsa, Tulsa, OK
| | - Sahib S. Khalsa
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health & Natural Sciences, The University of Tulsa, Tulsa, OK
| | - Ryan Smith
- Laureate Institute for Brain Research, Tulsa, OK, USA
- Oxley College of Health & Natural Sciences, The University of Tulsa, Tulsa, OK
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Park H, Forthman KL, Kuplicki R, Victor TA, Yeh HW, Thompson WK, Howlett JR, Guinjoan S, Paulus MP. Polygenic risk for neuroticism is associated with less efficient control in more difficult situations. Psychiatry Res Neuroimaging 2023; 335:111716. [PMID: 37717543 PMCID: PMC10841151 DOI: 10.1016/j.pscychresns.2023.111716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/26/2023] [Accepted: 09/11/2023] [Indexed: 09/19/2023]
Abstract
Neuroticism is a heritable trait and a risk factor for mental health due to its relevance to poor control of negative events. To examine the relationship between genetic propensity for neuroticism and control processing, we used the polygenic risk score (PRS) approach and a stop signal task during fMRI. We hypothesized that genetic propensity for neuroticism may moderate control processing as a function of control difficulty. PRSs for neuroticism were computed from a transdiagnostic group of individuals (n=406) who completed the stop signal task. The level of control difficulty was a function of the stop signal asynchrony: shorter asynchrony allows easier stopping whereas longer asynchrony makes stopping difficult. The relationship between PRS for neuroticism and neural activity for controlling responses was examined by the stop signal asynchrony. Although PRS for neuroticism did not relate to the overall inhibitory control, individuals with high PRS for neuroticism showed greater activity in left dorsal prefrontal cortex, middle temporal gyrus, and dorsal posterior cingulate cortex for difficult control. Thus, the genetic propensity for neuroticism affects neural processing in a difficult control context, which may help to explain why individuals with high levels of neuroticism exert poor control of negative events in difficult situations.
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Affiliation(s)
- Heekyeong Park
- Department of Psychology, University of North Texas at Dallas, TX 75241, USA; Laureate Institute for Brain Research, Tulsa, OK 74136, USA.
| | | | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA
| | | | - Hung-Wen Yeh
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO 64108, USA
| | | | - Jonathon R Howlett
- Department of Psychiatry, Veterans Affairs San Diego Healthcare System, La Jolla, CA 92093, USA
| | - Salvador Guinjoan
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; Department of Psychiatry, Oklahoma University Health Sciences Center at Tulsa, OK 74107, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK 74136, USA; Department of Neuroscience, Oxley College of Health Sciences, University of Tulsa, Tulsa, OK 74119, USA
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Forthman KL, Kuplicki R, Yeh HW, Khalsa SS, Paulus MP, Guinjoan SM. Transdiagnostic behavioral and genetic contributors to repetitive negative thinking: A machine learning approach. J Psychiatr Res 2023; 162:207-213. [PMID: 37178517 DOI: 10.1016/j.jpsychires.2023.05.039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 04/25/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND Repetitive negative thinking (RNT) is a symptom that can negatively impact the treatment and course of common psychiatric disorders such as depression and anxiety. We aimed to characterize behavioral and genetic correlates of RNT to infer potential contributors to its genesis and maintenance. METHODS We applied a machine learning (ML) ensemble method to define the contribution of fear, interoceptive, reward, and cognitive variables to RNT, along with polygenic risk scores (PRS) for neuroticism, obsessive compulsive disorder (OCD), worry, insomnia, and headaches. We used the PRS and 20 principal components of the behavioral and cognitive variables to predict intensity of RNT. We employed the Tulsa-1000 study, a large database of deeply phenotyped individuals recruited between 2015 and 2018. RESULTS PRS for neuroticism was the main predictor of RNT intensity (R2=0.027,p<0.001). Behavioral variables indicative of faulty fear learning and processing, as well as aberrant interoceptive aversiveness, were significant contributors to RNT severity. Unexpectedly, we observed no contribution of reward behavior and diverse cognitive function variables. LIMITATIONS This study is an exploratory approach that must be validated with a second, independent cohort. Furthermore, this is an association study, limiting causal inference. CONCLUSIONS RNT is highly determined by genetic risk for neuroticism, a behavioral construct that confers risk to a variety of internalizing disorders, and by emotional processing and learning features, including interoceptive aversiveness. These results suggest that targeting emotional and interoceptive processing areas, which involve central autonomic network structures, could be useful in the modulation of RNT intensity.
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Affiliation(s)
- Katherine L Forthman
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA
| | - Hung-Wen Yeh
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Health Services & Outcomes Research, Children's Mercy Research Institute, 2401 Gilham Road, Kansas City, MO, 64108, USA; School of Medicine, University of Missouri-Kansas City, 2411 Holmes St, Kansas City, MO, 64108, USA
| | - Sahib S Khalsa
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Oxley College of Health Sciences, University of Tulsa, 1215 South Boulder Ave W, Tulsa, OK, 74119, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Oxley College of Health Sciences, University of Tulsa, 1215 South Boulder Ave W, Tulsa, OK, 74119, USA
| | - Salvador M Guinjoan
- Laureate Institute for Brain Research, 6655 South Yale Avenue, Tulsa, OK, 74136, USA; Department of Psychiatry, Oklahoma University Health Sciences Center, The University of Oklahoma-Tulsa, Schusterman Center, 4502 E. 41st Street, Tulsa, OK, 74135, USA.
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Park H, Forthman KL, Kuplicki R, Victor TA, Yeh HW, Thompson WK, Paulus MP. Functional magnetic resonance imaging data for the association between polygenic risk scores for neuroticism and reward-punishment processing. Data Brief 2022; 42:108014. [PMID: 35310819 PMCID: PMC8924281 DOI: 10.1016/j.dib.2022.108014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 02/25/2022] [Accepted: 02/28/2022] [Indexed: 11/03/2022] Open
Abstract
Neuroticism as a personality trait represents a heritable risk for psychiatric disorders. The polygenic risk score for neuroticism (N-PRS) is used to study genetic vulnerability to neuroticism. The current data present the association of the genetic risk for neuroticism to neural reward-punishment processing using functional magnetic resonance imaging. N-PRS was computed based on the individual's genotype information and a genome-wide association study on the UK Biobank data. While individuals performed a monetary incentive delay task, their neural activations for upcoming incentives (reward: gain, punishment: loss) were measured in blood oxygen level dependent (BOLD) signals during the delay phase. Multivariate ANCOVAs were used to analyze BOLD signals for finding the association between N-PRS and reward-punishment processing by the incentive valence (Related research article: H. Park, K.L. Forthman, R. Kuplicki, T.A. Victor, Tulsa 1000 Investigators, H.W. Yeh, W.K. Thompson, M.P. Paulus, Polygenic risk for neuroticism modulates response to gains and losses in the amygdala and caudate: evidence from a clinical cohort. J. Affect. Disord. 293 (2021) 124-132. https://doi.org/10.1016/j.jad.2021.06.016). These data can be used as reference data for future studies examining the role of the genetic propensity for personality traits in the context of psychiatric disorders.
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Affiliation(s)
- Heekyeong Park
- Laureate Institute for Brain Research, Tulsa, OK, USA.,University of North Texas at Dallas, Dallas, TX, USA
| | | | | | | | | | - Hung-Wen Yeh
- Laureate Institute for Brain Research, Tulsa, OK, USA.,Children's Mercy Hospital, Kansas City, MO, USA
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Park H, Forthman KL, Kuplicki R, Victor TA, Yeh HW, Thompson WK, Paulus MP. Polygenic risk for neuroticism moderates response to gains and losses in amygdala and caudate: Evidence from a clinical cohort. J Affect Disord 2021; 293:124-132. [PMID: 34186230 PMCID: PMC8411869 DOI: 10.1016/j.jad.2021.06.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 05/06/2021] [Accepted: 06/13/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Neuroticism is a heritable trait that contributes to the vulnerability to depression. We used polygenic risk scores (PRS) to examine genetic vulnerability to neuroticism and its associations with reward/punishment processing in a clinical sample with mood, anxiety, and substance use disorders. It was hypothesized that higher PRS for neuroticism is associated with attenuated neural responses to reward/punishment. METHOD Four hundred sixty-nine participants were genotyped and their PRSs for neuroticism were computed. Associations between PRS for neuroticism and anticipatory processing of monetary incentives were examined using functional magnetic resonance imaging. RESULTS Individuals with higher PRS for neuroticism showed less anticipatory activation in the left amygdala and caudate region to incentives regardless of incentive valence. Further, these individuals exhibited altered sensitivity to gain/loss processing in the right anterior insula. Higher PRSs for neuroticism were also associated with reduced processing of gains in the precuneus. LIMITATIONS The study population consisted of a transdiagnostic sample with dysfunctions in positive and negative valence processing. PRS for neuroticism may be correlated with current clinical symptoms due to the vulnerability to psychiatric disorders. CONCLUSIONS Greater genetic loading for neuroticism was associated with attenuated anticipatory responsiveness in reward/punishment processing with altered sensitivity to valences. Thus, a higher genetic risk for neuroticism may limit the degree to which positive and/or negative outcomes influence the current mood state, which may contribute to the development of positive and negative affective dysfunctions in individuals with mood, anxiety, and addictive disorders.
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Affiliation(s)
| | | | | | | | | | - Hung-Wen Yeh
- Laureate Institute for Brain Research, Tulsa, OK, USA,Children’s Mercy Hospital, Kansas City, MO
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Smith R, Feinstein JS, Kuplicki R, Forthman KL, Stewart JL, Paulus MP, Khalsa SS. Perceptual insensitivity to the modulation of interoceptive signals in depression, anxiety, and substance use disorders. Sci Rep 2021; 11:2108. [PMID: 33483527 PMCID: PMC7822872 DOI: 10.1038/s41598-021-81307-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 12/28/2020] [Indexed: 01/18/2023] Open
Abstract
This study employed a series of heartbeat perception tasks to assess the hypothesis that cardiac interoceptive processing in individuals with depression/anxiety (N = 221), and substance use disorders (N = 136) is less flexible than that of healthy individuals (N = 53) in the context of physiological perturbation. Cardiac interoception was assessed via heartbeat tapping when: (1) guessing was allowed; (2) guessing was not allowed; and (3) experiencing an interoceptive perturbation (inspiratory breath hold) expected to amplify cardiac sensation. Healthy participants showed performance improvements across the three conditions, whereas those with depression/anxiety and/or substance use disorder showed minimal improvement. Machine learning analyses suggested that individual differences in these improvements were negatively related to anxiety sensitivity, but explained relatively little variance in performance. These results reveal a perceptual insensitivity to the modulation of interoceptive signals that was evident across several common psychiatric disorders, suggesting that interoceptive deficits in the realm of psychopathology manifest most prominently during states of homeostatic perturbation.
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Affiliation(s)
- Ryan Smith
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA
| | - Justin S Feinstein
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA
| | | | - Jennifer L Stewart
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Martin P Paulus
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA
| | - Sahib S Khalsa
- Laureate Institute for Brain Research, 6655 S Yale Ave, Tulsa, OK, 74136, USA.
- Oxley College of Health Sciences, University of Tulsa, Tulsa, OK, USA.
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Smith R, Kuplicki R, Feinstein J, Forthman KL, Stewart JL, Paulus MP, Khalsa SS. A Bayesian computational model reveals a failure to adapt interoceptive precision estimates across depression, anxiety, eating, and substance use disorders. PLoS Comput Biol 2020; 16:e1008484. [PMID: 33315893 PMCID: PMC7769623 DOI: 10.1371/journal.pcbi.1008484] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/28/2020] [Accepted: 10/31/2020] [Indexed: 12/16/2022] Open
Abstract
Recent neurocomputational theories have hypothesized that abnormalities in prior beliefs and/or the precision-weighting of afferent interoceptive signals may facilitate the transdiagnostic emergence of psychopathology. Specifically, it has been suggested that, in certain psychiatric disorders, interoceptive processing mechanisms either over-weight prior beliefs or under-weight signals from the viscera (or both), leading to a failure to accurately update beliefs about the body. However, this has not been directly tested empirically. To evaluate the potential roles of prior beliefs and interoceptive precision in this context, we fit a Bayesian computational model to behavior in a transdiagnostic patient sample during an interoceptive awareness (heartbeat tapping) task. Modelling revealed that, during an interoceptive perturbation condition (inspiratory breath-holding during heartbeat tapping), healthy individuals (N = 52) assigned greater precision to ascending cardiac signals than individuals with symptoms of anxiety (N = 15), depression (N = 69), co-morbid depression/anxiety (N = 153), substance use disorders (N = 131), and eating disorders (N = 14)-who failed to increase their precision estimates from resting levels. In contrast, we did not find strong evidence for differences in prior beliefs. These results provide the first empirical computational modeling evidence of a selective dysfunction in adaptive interoceptive processing in psychiatric conditions, and lay the groundwork for future studies examining how reduced interoceptive precision influences visceral regulation and interoceptively-guided decision-making.
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Affiliation(s)
- Ryan Smith
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
| | - Justin Feinstein
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma, United States of America
| | | | - Jennifer L. Stewart
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma, United States of America
| | - Martin P. Paulus
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma, United States of America
| | | | - Sahib S. Khalsa
- Laureate Institute for Brain Research, Tulsa, Oklahoma, United States of America
- Oxley College of Health Sciences, The University of Tulsa, Tulsa, Oklahoma, United States of America
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Feng C, Forthman KL, Kuplicki R, Yeh HW, Stewart JL, Paulus MP. Neighborhood affluence is not associated with positive and negative valence processing in adults with mood and anxiety disorders: A Bayesian inference approach. Neuroimage Clin 2019; 22:101738. [PMID: 30870735 PMCID: PMC6416773 DOI: 10.1016/j.nicl.2019.101738] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/09/2019] [Accepted: 02/27/2019] [Indexed: 10/27/2022]
Abstract
Survey-based studies show that neighborhood disadvantage is associated with community reported mental health problems. However, fewer studies have examined whether neighborhood characteristics have measurable impact on mental health status of individuals in general and whether neighborhood characteristics impact positive/negative valence processing at both behavioral and brain levels. This study addressed these questions by investigating effects of census-based neighborhood affluence on self-reported symptoms, brain functions, and structures associated with positive/negative valence processing in a sample of individuals with mood and anxiety disorders (n = 262). Employing a Bayesian inference approach, our investigation demonstrates that neighborhood affluence fails to be associated with positive/negative valence processing measured across multiple modalities, with the only effects of neighborhood affluence identified in trait anxiety scores. These findings highlight that while community-based relationships between neighborhood characteristics and mental health problems are strong, it is much less clear that these characteristics have a measurable impact on the individual.
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Affiliation(s)
- Chunliang Feng
- Laureate Institute for Brain Research, Tulsa, OK, United States of America
| | - Katherine L Forthman
- Laureate Institute for Brain Research, Tulsa, OK, United States of America; University of Tulsa, Tulsa, OK, United States of America
| | - Rayus Kuplicki
- Laureate Institute for Brain Research, Tulsa, OK, United States of America
| | - Hung-Wen Yeh
- Laureate Institute for Brain Research, Tulsa, OK, United States of America
| | - Jennifer L Stewart
- Laureate Institute for Brain Research, Tulsa, OK, United States of America
| | - Martin P Paulus
- Laureate Institute for Brain Research, Tulsa, OK, United States of America.
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