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Thai M, Olson EA, Nickels S, Dillon DG, Webb CA, Ren B, Killgore WDS, Rauch SL, Rosso IM, Pizzagalli DA. Neural and behavioral markers of inhibitory control predict symptom improvement during internet-delivered cognitive behavioral therapy for depression. Transl Psychiatry 2024; 14:303. [PMID: 39043642 PMCID: PMC11266709 DOI: 10.1038/s41398-024-03020-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 06/24/2024] [Accepted: 07/10/2024] [Indexed: 07/25/2024] Open
Abstract
Poor inhibitory control contributes to deficits in emotion regulation, which are often targeted by treatments for major depressive disorder (MDD), including cognitive behavioral therapy (CBT). Brain regions that contribute to inhibitory control and emotion regulation overlap; thus, inhibitory control might relate to response to CBT. In this study, we examined whether baseline inhibitory control and resting state functional connectivity (rsFC) within overlapping emotion regulation-inhibitory control regions predicted treatment response to internet-based CBT (iCBT). Participants with MDD were randomly assigned to iCBT (N = 30) or a monitored attention control (MAC) condition (N = 30). Elastic net regression was used to predict post-treatment Patient Health Questionnaire-9 (PHQ-9) scores from baseline variables, including demographic variables, PHQ-9 scores, Flanker effects (interference, sequential dependency, post-error slowing), and rsFC between the dorsal anterior cingulate cortex, bilateral anterior insula (AI), and right temporoparietal junction (TPJ). Essential prognostic predictor variables retained in the elastic net regression included treatment group, gender, Flanker interference response time (RT), right AI-TPJ rsFC, and left AI-right AI rsFC. Prescriptive predictor variables retained included interactions between treatment group and baseline PHQ-9 scores, age, gender, Flanker RT, sequential dependency effects on accuracy, post-error accuracy, right AI-TPJ rsFC, and left AI-right AI rsFC. Inhibitory control and rsFC within inhibitory control-emotion regulation regions predicted reduced symptom severity following iCBT, and these effects were stronger in the iCBT group than in the MAC group. These findings contribute to a growing literature indicating that stronger inhibitory control at baseline predicts better outcomes to psychotherapy, including iCBT.
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Affiliation(s)
- Michelle Thai
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA.
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA.
| | - Elizabeth A Olson
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Stefanie Nickels
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Daniel G Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Christian A Webb
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Boyu Ren
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- Psychiatric Biostatistics Laboratory, McLean Hospital, Belmont, MA, USA
| | - William D S Killgore
- Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, USA
| | - Scott L Rauch
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Isabelle M Rosso
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Diego A Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA
- Department of Psychiatry, Harvard Medical School, Boston, MA, USA
- McLean Imaging Center, McLean Hospital, Belmont, MA, USA
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Bagdasarov A, Roberts K, Brunet D, Michel CM, Gaffrey MS. Exploring the Association Between EEG Microstates During Resting-State and Error-Related Activity in Young Children. Brain Topogr 2024; 37:552-570. [PMID: 38141125 PMCID: PMC11199242 DOI: 10.1007/s10548-023-01030-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 12/11/2023] [Indexed: 12/24/2023]
Abstract
The error-related negativity (ERN) is a negative deflection in the electroencephalography (EEG) waveform at frontal-central scalp sites that occurs after error commission. The relationship between the ERN and broader patterns of brain activity measured across the entire scalp that support error processing during early childhood is unclear. We examined the relationship between the ERN and EEG microstates - whole-brain patterns of dynamically evolving scalp potential topographies that reflect periods of synchronized neural activity - during both a go/no-go task and resting-state in 90, 4-8-year-old children. The mean amplitude of the ERN was quantified during the -64 to 108 millisecond (ms) period of time relative to error commission, which was determined by data-driven microstate segmentation of error-related activity. We found that greater magnitude of the ERN associated with greater global explained variance (GEV; i.e., the percentage of total variance in the data explained by a given microstate) of an error-related microstate observed during the same -64 to 108 ms period (i.e., error-related microstate 3), and to greater anxiety risk as measured by parent-reported behavioral inhibition. During resting-state, six data-driven microstates were identified. Both greater magnitude of the ERN and greater GEV values of error-related microstate 3 associated with greater GEV values of resting-state microstate 4, which showed a frontal-central scalp topography. Source localization results revealed overlap between the underlying neural generators of error-related microstate 3 and resting-state microstate 4 and canonical brain networks (e.g., ventral attention) known to support the higher-order cognitive processes involved in error processing. Taken together, our results clarify how individual differences in error-related and intrinsic brain activity are related and enhance our understanding of developing brain network function and organization supporting error processing during early childhood.
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Affiliation(s)
- Armen Bagdasarov
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA.
| | - Kenneth Roberts
- Duke Institute for Brain Sciences, Duke University, 308 Research Drive, Durham, NC, USA
| | - Denis Brunet
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Christoph M Michel
- Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland
- Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland
| | - Michael S Gaffrey
- Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA
- Children's Wisconsin, 9000 W. Wisconsin Avenue, Milwaukee, WI, 53226, USA
- Medical College of Wisconsin, Division of Pediatric Psychology and Developmental Medicine, Department of Pediatrics, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA
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Le TM, Oba T, Couch L, McInerney L, Li CSR. The Neural Correlates of Individual Differences in Reinforcement Learning during Pain Avoidance and Reward Seeking. eNeuro 2024; 11:ENEURO.0437-23.2024. [PMID: 38365840 PMCID: PMC10901196 DOI: 10.1523/eneuro.0437-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/31/2024] [Accepted: 02/05/2024] [Indexed: 02/18/2024] Open
Abstract
Organisms learn to gain reward and avoid punishment through action-outcome associations. Reinforcement learning (RL) offers a critical framework to understand individual differences in this associative learning by assessing learning rate, action bias, pavlovian factor (i.e., the extent to which action values are influenced by stimulus values), and subjective impact of outcomes (i.e., motivation to seek reward and avoid punishment). Nevertheless, how these individual-level metrics are represented in the brain remains unclear. The current study leveraged fMRI in healthy humans and a probabilistic learning go/no-go task to characterize the neural correlates involved in learning to seek reward and avoid pain. Behaviorally, participants showed a higher learning rate during pain avoidance relative to reward seeking. Additionally, the subjective impact of outcomes was greater for reward trials and associated with lower response randomness. Our imaging findings showed that individual differences in learning rate and performance accuracy during avoidance learning were positively associated with activities of the dorsal anterior cingulate cortex, midcingulate cortex, and postcentral gyrus. In contrast, the pavlovian factor was represented in the precentral gyrus and superior frontal gyrus (SFG) during pain avoidance and reward seeking, respectively. Individual variation of the subjective impact of outcomes was positively predicted by activation of the left posterior cingulate cortex. Finally, action bias was represented by the supplementary motor area (SMA) and pre-SMA whereas the SFG played a role in restraining this action tendency. Together, these findings highlight for the first time the neural substrates of individual differences in the computational processes during RL.
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Affiliation(s)
- Thang M Le
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519
| | - Takeyuki Oba
- Human Informatics and Interaction Research Institute, the National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba 305-8560, Japan
| | - Luke Couch
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519
| | - Lauren McInerney
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519
| | - Chiang-Shan R Li
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut 06519
- Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut 06520
- Interdepartmental Neuroscience Program, Yale University School of Medicine, New Haven, Connecticut 06520
- Wu Tsai Institute, Yale University, New Haven, Connecticut 06510
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Laubacher C, Kral TRA, Imhoff-Smith T, Klaus DR, Goldman RI, Sachs J, Davidson RJ, Busse WW, Rosenkranz MA. Resting state functional connectivity changes following mindfulness-based stress reduction predict improvements in disease control for patients with asthma. Brain Behav Immun 2024; 115:480-493. [PMID: 37924961 PMCID: PMC10842225 DOI: 10.1016/j.bbi.2023.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 10/23/2023] [Accepted: 10/28/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND The staggering morbidity associated with chronic inflammatory diseases can be reduced by psychological interventions, including Mindfulness-Based Stress Reduction (MBSR). Proposed mechanisms for MBSR's beneficial effects include changes in salience network function. Salience network perturbations are also associated with chronic inflammation, including airway inflammation in asthma, a chronic inflammatory disease affecting approximately 10% of the population. However, no studies have examined whether MBSR-related improvements in disease control are related to changes in salience network function. METHODS Adults with asthma were randomized to 8 weeks of MBSR or a waitlist control group. Resting state functional connectivity was measured using fMRI before randomization, immediately post-intervention, and 4 months post-intervention. Using key salience network regions as seeds, we calculated group differences in change in functional connectivity over time and examined whether functional connectivity changes were associated with increased mindfulness, improved asthma control, and decreased inflammatory biomarkers. RESULTS The MBSR group showed greater increases in functional connectivity between salience network regions relative to the waitlist group. Improvements in asthma control correlated with increased functional connectivity between the salience network and regions important for attention control and emotion regulation. Improvements in inflammatory biomarkers were related to decreased functional connectivity between the salience network and other networks. CONCLUSIONS Increased resting salience network coherence and connectivity with networks that subserve attention and emotion regulation may contribute to the benefits of MBSR for patients with asthma. Understanding the neural underpinnings of MBSR-related benefits in patients is a critical step towards optimizing brain-targeted interventions for chronic inflammatory disease management.
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Affiliation(s)
- Claire Laubacher
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Tammi R A Kral
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA; Healthy Minds Innovations, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Ted Imhoff-Smith
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA
| | - Danika R Klaus
- Healthy Minds Innovations, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Robin I Goldman
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Jane Sachs
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA
| | - Richard J Davidson
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA; Healthy Minds Innovations, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA; Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd, Madison, WI 53719, USA
| | - William W Busse
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, 600 Highland Ave, Madison, WI 53792, USA
| | - Melissa A Rosenkranz
- Center for Healthy Minds, University of Wisconsin-Madison, 625 W. Washington Ave, Madison, WI 53703, USA; Department of Psychiatry, University of Wisconsin-Madison, 6001 Research Park Blvd, Madison, WI 53719, USA.
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Pagán CR, Arrotta K, Cunnignham Chilton R, Schmitter-Edgecombe M. Error monitoring in amnestic mild cognitive impairment: Cognitive correlates and relationship to measures of everyday function. Neuropsychology 2023; 37:933-942. [PMID: 36689394 PMCID: PMC10363240 DOI: 10.1037/neu0000887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
OBJECTIVE Accurate error monitoring is important for successful completion of everyday tasks and compensatory strategy use. This study examined how error awareness is impacted in amnestic mild cognitive impairment (aMCI) compared to cognitively healthy older adults (HOA). Cognitive correlates of error monitoring and relation to objective and self-reported measurement of everyday function were also evaluated. METHOD Twenty-four individuals with aMCI and 24 cognitively HOAs completed standardized cognitive measures (domains: attention, working memory, executive functioning, memory, language, visuospatial abilities); a computerized go-no-go paradigm task that evaluated error monitoring; a naturalistic, performance-based measure of everyday functioning (day-out-task; DOT); and self- and informant-report measures of everyday dysexecutive difficulties (DEX). RESULTS Participants with aMCI demonstrated significantly poorer error monitoring as compared to the HOA group (Cohen's d = 1.02). Working memory and executive functioning were significantly related to error monitoring for both groups. After accounting for age and global cognitive status, hierarchical regressions revealed error monitoring significantly predicted DOT total time (but not accuracy) as well as both self- and informant-report DEX scores. CONCLUSIONS Compared to HOAs, individuals with aMCI exhibited poorer conscious error awareness. Better error monitoring was associated with higher working memory and executive functioning abilities and predicted better everyday functioning. If individuals with aMCI experience difficulties recognizing performance inaccuracies, they will be unable to correct their errors, leading to mistakes in everyday task completion and difficulty implementing appropriate compensatory strategies. Findings suggest that error monitoring may be a potential target for intervention with individuals with aMCI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Affiliation(s)
- Carolyn R. Pagán
- Department of Psychology, Washington State University, Pullman, WA, USA
| | - Kayela Arrotta
- Neurological Institute, Cleveland Clinic, Cleveland, OH, USA
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Han S, Gao J, Hu J, Ye Y, Huang H, Liu J, Liu M, Ai H, Qiu J, Luo Y, Xu P. Disruptions of salience network during uncertain anticipation of conflict control in anxiety. Asian J Psychiatr 2023; 88:103721. [PMID: 37562270 DOI: 10.1016/j.ajp.2023.103721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/20/2023] [Accepted: 08/01/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND Anxiety has been characterized by disrupted processing of conflict control, while little is known about anticipatory processing of conflicts in anxiety. Anticipation is the key factor in both anxiety and cognitive control, especially under uncertain conditions. The current study therefore examined neurocomputational mechanisms of uncertain anticipation of conflict control in anxiety. METHODS Twenty-six participants with high-trait anxiety and twenty-nine low-trait anxiety participants completed a cue-flanker task with functional magnetic resonance imaging. The hierarchical drift diffusion model (HDDM) was used to measure the cognitive computations during the task. To identify the neurocomputational mechanism of anticipatory control in anxiety, mediation analysis and dynamic causal modelling (DCM) analysis were conducted to examine the relationship between functional connectivity of brain networks and the parameters of HDDM. RESULTS We found influences of regulatory signals from the dorsolateral prefrontal cortex to dorsal anterior cingulate cortex on decision threshold in low-trait anxiety (LTA), but not in high-trait anxiety (HTA), especially for the condition with uncertain cues. The results indicate deficient top-down anticipatory control of upcoming conflicts in anxious individuals. DCM and HDDM analyses revealed that lower decision threshold was associated with higher intrinsic connectivity of salience network (SN) in anxious individuals, suggesting that dysfunctional SN disrupts anticipation of conflict control under uncertainty in anxiety. CONCLUSIONS Our results suggest hyperfunction of the SN underlies the deficient information accumulation during uncertain anticipation of upcoming conflicts in anxiety. Our findings shed new light on the mechanisms of anticipation processing and the psychopathology of anxiety.
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Affiliation(s)
- Shangfeng Han
- Department of Psychology and Center for Brain and Cognitive Sciences, School of Education, Guangzhou University, Guangzhou, China; Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jie Gao
- School of Psychology, Chengdu Medical College, Chengdu, China
| | - Jie Hu
- School of Psychology, Chengdu Medical College, Chengdu, China
| | - Yanghua Ye
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Huiya Huang
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jing Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Mingfang Liu
- Community Health Service Center of Beijing Normal University, China
| | - Hui Ai
- Institute of Applied Psychology, Tianjin University, Tianjin, China; Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Jianyin Qiu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yuejia Luo
- School of Psychology, Chengdu Medical College, Chengdu, China; Institute for Neuropsychological Rehabilitation, University of Health and Rehabilitation Sciences, Qingdao, China.
| | - Pengfei Xu
- The State Key Lab of Cognitive and Learning, Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing, China; Center for Emotion and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China.
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Conte S, Richards JE, Fox NA, Valadez EA, McSweeney M, Tan E, Pine DS, Winkler AM, Liuzzi L, Cardinale EM, White LK, Buzzell GA. Multimodal study of the neural sources of error monitoring in adolescents and adults. Psychophysiology 2023; 60:e14336. [PMID: 37212619 PMCID: PMC10524909 DOI: 10.1111/psyp.14336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/16/2023] [Accepted: 05/01/2023] [Indexed: 05/23/2023]
Abstract
The ability to monitor performance during a goal-directed behavior differs among children and adults in ways that can be measured with several tasks and techniques. As well, recent work has shown that individual differences in error monitoring moderate temperamental risk for anxiety and that this moderation changes with age. We investigated age differences in neural responses linked to performance monitoring using a multimodal approach. The approach combined functional MRI and source localization of event-related potentials (ERPs) in 12-year-old, 15-year-old, and adult participants. Neural generators of two components related to performance and error monitoring, the N2 and ERN, lay within specific areas of fMRI clusters. Whereas correlates of the N2 component appeared similar across age groups, age-related differences manifested in the location of the generators of the ERN component. The dorsal anterior cingulate cortex (dACC) was the predominant source location for the 12-year-old group; this area manifested posteriorly for the 15-year-old and adult groups. A fMRI-based ROI analysis confirmed this pattern of activity. These results suggest that changes in the underlying neural mechanisms are related to developmental changes in performance monitoring.
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Affiliation(s)
- Stefania Conte
- Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - John E Richards
- Department of Psychology, University of South Carolina, Columbia, South Carolina, USA
| | - Nathan A Fox
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA
| | - Emilio A Valadez
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA
| | - Marco McSweeney
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA
| | - Enda Tan
- Department of Human Development and Quantitative Methodology, University of Maryland, College Park, Maryland, USA
| | - Daniel S Pine
- National Institute of Mental Health, Emotion and Development Branch, Bethesda, Maryland, USA
| | - Anderson M Winkler
- National Institute of Mental Health, Emotion and Development Branch, Bethesda, Maryland, USA
| | - Lucrezia Liuzzi
- National Institute of Mental Health, Emotion and Development Branch, Bethesda, Maryland, USA
| | - Elise M Cardinale
- National Institute of Mental Health, Emotion and Development Branch, Bethesda, Maryland, USA
| | - Lauren K White
- Lifespan Brain Institute of the Children's Hospital of Philadelphia and Penn Medicine, Philadelphia, Pennsylvania, USA
| | - George A Buzzell
- Florida International University and the Center for Children and Families, Miami, Florida, USA
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Bagdasarov A, Roberts K, Brunet D, Michel CM, Gaffrey MS. Exploring the association between EEG microstates during resting-state and error-related activity in young children. RESEARCH SQUARE 2023:rs.3.rs-2865543. [PMID: 37205415 PMCID: PMC10187414 DOI: 10.21203/rs.3.rs-2865543/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The error-related negativity (ERN) is a negative deflection in the electroencephalography (EEG) waveform at frontal-central scalp sites that occurs after error commission. The relationship between the ERN and broader patterns of brain activity measured across the entire scalp that support error processing during early childhood is unclear. We examined the relationship between the ERN and EEG microstates - whole-brain patterns of dynamically evolving scalp potential topographies that reflect periods of synchronized neural activity - during both a go/no-go task and resting-state in 90, 4-8-year-old children. The mean amplitude of the ERN was quantified during the - 64 to 108 millisecond (ms) period of time relative to error commission, which was determined by data-driven microstate segmentation of error-related activity. We found that greater magnitude of the ERN associated with greater global explained variance (GEV; i.e., the percentage of total variance in the data explained by a given microstate) of an error-related microstate observed during the same - 64 to 108 ms period (i.e., error-related microstate 3), and to greater parent-report-measured anxiety risk. During resting-state, six data-driven microstates were identified. Both greater magnitude of the ERN and greater GEV values of error-related microstate 3 associated with greater GEV values of resting-state microstate 4, which showed a frontal-central scalp topography. Source localization results revealed overlap between the underlying neural generators of error-related microstate 3 and resting-state microstate 4 and canonical brain networks (e.g., ventral attention) known to support the higher-order cognitive processes involved in error processing. Taken together, our results clarify how individual differences in error-related and intrinsic brain activity are related and enhance our understanding of developing brain network function and organization supporting error processing during early childhood.
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The questionable validity of attention bias variability: Evidence from two conceptually unrelated cognitive tasks. JOURNAL OF AFFECTIVE DISORDERS REPORTS 2022; 10:100411. [PMID: 36684713 PMCID: PMC9851093 DOI: 10.1016/j.jadr.2022.100411] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Background Attention bias variability is thought to measure fluctuations in attention towards and away from threat-related information and is elevated in affective disorders. However, recent evidence suggests that attention bias variability may quantify general reaction time variability rather than attention bias behavior per se. Methods The current study calculated "attention bias variability" from two conceptually unrelated cognitive tasks: the dot-probe task (measuring attentional bias) and the arrow flanker task (measuring cognitive control). Results Attention bias variability measures were correlated across these unrelated tasks. Yet, when general reaction time variability was controlled, attention bias variability across tasks was no longer correlated. In addition, the reliability of attention bias variability measures decreased when controlling for general reaction time variability. Finally, although attention bias variability calculated from the dot-probe task initially correlated with anxious symptoms, this association was no longer significant when controlling for general reaction time variability. Limitations Our sample was comprised of high trait anxious individuals. Replication in clinical samples is warranted. Conclusions These findings collectively provide strong empirical evidence that attention bias variability is not a valid measure of attention-related behavior, but reflective of general reaction time variability more broadly.
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No change in electrocortical measures of performance monitoring in high trait anxious individuals following multi-session attention bias modification training. NEUROIMAGE: REPORTS 2021. [DOI: 10.1016/j.ynirp.2021.100067] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Strand N, Fang L, Carlson JM. Sex Differences in Anxiety: An Investigation of the Moderating Role of Sex in Performance Monitoring and Attentional Bias to Threat in High Trait Anxious Individuals. Front Hum Neurosci 2021; 15:627589. [PMID: 34093149 PMCID: PMC8172782 DOI: 10.3389/fnhum.2021.627589] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 04/23/2021] [Indexed: 01/04/2023] Open
Abstract
Anxiety disorders are more predominant in women than men, however there is a lack of understanding as to what neurocognitive mechanisms drive this sex difference. Recent investigation has found a potential moderating role of sex in the relationship between anxiety and the error related negativity (ERN)—a component of error-monitoring that is prevalent in high anxiety individuals—such that females display a positive relationship between anxiety/worry and ERN amplitude. We strove to further explore the influence of sex on the relationship between trait anxiety and performance monitoring, specifically with ERN, as well as extend this work to include another hallmark of anxiety, attentional bias to threat. To meet this end, participants performed the flanker and dot-probe tasks, respectively. We did not find a significant difference in the relationship between attention bias scores and anxiety for female vs. males participants. Furthermore, ΔERN amplitudes were greater in males compared to females, and males had more positive CRN amplitudes than females. There were no significant associations between ERN or ΔERN with anxiety in both male and female participants. However, there was a significant relationship between CRN amplitudes and trait anxiety in male but not female participants. Given these results, the effect of sex on the relationship between components of performance monitoring—namely the CRN and ERN—and anxiety may be more nuanced than the current understanding. Our study was limited to detecting medium to large sized moderation effects. Our findings may be important for future meta-analysis on sex differences in anxiety.
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Affiliation(s)
- Natalie Strand
- Department of Psychological Science, Northern Michigan University, Marquette, MI, United States
| | - Lin Fang
- Department of Psychological Science, Northern Michigan University, Marquette, MI, United States
| | - Joshua M Carlson
- Department of Psychological Science, Northern Michigan University, Marquette, MI, United States
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