1
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Huang S, De Brigard F, Cabeza R, Davis SW. Connectivity analyses for task-based fMRI. Phys Life Rev 2024; 49:139-156. [PMID: 38728902 PMCID: PMC11116041 DOI: 10.1016/j.plrev.2024.04.012] [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: 04/25/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024]
Abstract
Functional connectivity is conventionally defined by measuring the similarity between brain signals from two regions. The technique has become widely adopted in the analysis of functional magnetic resonance imaging (fMRI) data, where it has provided cognitive neuroscientists with abundant information on how brain regions interact to support complex cognition. However, in the past decade the notion of "connectivity" has expanded in both the complexity and heterogeneity of its application to cognitive neuroscience, resulting in greater difficulty of interpretation, replication, and cross-study comparisons. In this paper, we begin with the canonical notions of functional connectivity and then introduce recent methodological developments that either estimate some alternative form of connectivity or extend the analytical framework, with the hope of bringing better clarity for cognitive neuroscience researchers.
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Affiliation(s)
- Shenyang Huang
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States.
| | - Felipe De Brigard
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States
| | - Roberto Cabeza
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, United States
| | - Simon W Davis
- Department of Psychology and Neuroscience, Duke University, Durham, NC 27708, United States; Department of Philosophy, Duke University, Durham, NC 27708, United States; Department of Neurology, Duke University School of Medicine, Durham, NC 27708, United States
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2
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Wyngaarden JB, Johnston CR, Sazhin D, Dennison JB, Zaff O, Fareri D, McCloskey M, Alloy LB, Smith DV, Jarcho JM. Corticostriatal responses to social reward are linked to trait reward sensitivity and subclinical substance use in young adults. Soc Cogn Affect Neurosci 2024; 19:nsae033. [PMID: 38779870 PMCID: PMC11182064 DOI: 10.1093/scan/nsae033] [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: 06/22/2023] [Revised: 03/14/2024] [Accepted: 05/21/2024] [Indexed: 05/25/2024] Open
Abstract
Aberrant levels of reward sensitivity have been linked to substance use disorder and are characterized by alterations in reward processing in the ventral striatum (VS). Less is known about how reward sensitivity and subclinical substance use relate to striatal function during social rewards (e.g. positive peer feedback). Testing this relation is critical for predicting risk for development of substance use disorder. In this pre-registered study, participants (N = 44) underwent fMRI while completing well-matched tasks that assess neural response to reward in social and monetary domains. Contrary to our hypotheses, aberrant reward sensitivity blunted the relationship between substance use and striatal activation during receipt of rewards, regardless of domain. Moreover, exploratory whole-brain analyses showed unique relations between substance use and social rewards in temporoparietal junction. Psychophysiological interactions demonstrated that aberrant reward sensitivity is associated with increased connectivity between the VS and ventromedial prefrontal cortex during social rewards. Finally, we found that substance use was associated with decreased connectivity between the VS and dorsomedial prefrontal cortex for social rewards, independent of reward sensitivity. These findings demonstrate nuanced relations between reward sensitivity and substance use, even among those without substance use disorder, and suggest altered reward-related engagement of cortico-VS responses as potential predictors of developing disordered behavior.
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Affiliation(s)
- James B Wyngaarden
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Camille R Johnston
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Jeff B Dennison
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Ori Zaff
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Dominic Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY 11530, USA
| | - Michael McCloskey
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Lauren B Alloy
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - David V Smith
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
| | - Johanna M Jarcho
- Department of Psychology & Neuroscience, Temple University, 1701 N 13th St Philadelphia, PA 19122, USA
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3
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Sazhin D, Wyngaarden JB, Dennison JB, Zaff O, Fareri D, McCloskey MS, Alloy LB, Jarcho JM, Smith DV. Trait Reward Sensitivity Modulates Connectivity with the Temporoparietal Junction and Anterior Insula during Strategic Decision Making. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.19.563125. [PMID: 37904967 PMCID: PMC10614961 DOI: 10.1101/2023.10.19.563125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Many decisions happen in social contexts such as negotiations, yet little is understood about how people balance fairness versus selfishness. Past investigations found that activation in brain areas involved in executive function and reward processing was associated with people offering less with no threat of rejection from their partner, compared to offering more when there was a threat of rejection. However, it remains unclear how trait reward sensitivity may modulate activation and connectivity patterns in these situations. To address this gap, we used task-based fMRI to examine the relation between reward sensitivity and the neural correlates of bargaining choices. Participants (N = 54) completed the Sensitivity to Punishment (SP)/Sensitivity to Reward (SR) Questionnaire and the Behavioral Inhibition System/Behavioral Activation System scales. Participants performed the Ultimatum and Dictator Games as proposers and exhibited strategic decisions by being fair when there was a threat of rejection, but being selfish when there was not a threat of rejection. We found that strategic decisions evoked activation in the Inferior Frontal Gyrus (IFG) and the Anterior Insula (AI). Next, we found elevated IFG connectivity with the Temporoparietal junction (TPJ) during strategic decisions. Finally, we explored whether trait reward sensitivity modulated brain responses while making strategic decisions. We found that people who scored lower in reward sensitivity made less strategic choices when they exhibited higher AI-Angular Gyrus connectivity. Taken together, our results demonstrate how trait reward sensitivity modulates neural responses to strategic decisions, potentially underscoring the importance of this factor within social and decision neuroscience.
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Affiliation(s)
- Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - James B. Wyngaarden
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jeff B. Dennison
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Ori Zaff
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Dominic Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY, USA
| | - Michael S. McCloskey
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Lauren B. Alloy
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Johanna M. Jarcho
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - David V. Smith
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
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4
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Wyngaarden JB, Johnston CR, Sazhin D, Dennison JB, Zaff O, Fareri D, McCloskey M, Alloy LB, Smith DV, Jarcho JM. Corticostriatal Responses to Social Reward are Linked to Trait Reward Sensitivity and Subclinical Substance Use in Young Adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.17.524305. [PMID: 36711485 PMCID: PMC9882176 DOI: 10.1101/2023.01.17.524305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Aberrant levels of reward sensitivity have been linked to substance use disorder and are characterized by alterations in reward processing in the ventral striatum (VS). Less is known about how reward sensitivity and subclinical substance use relate to striatal function during social rewards (e.g., positive peer feedback). Testing this relation is critical for predicting risk for development of substance use disorder. In this pre-registered study, participants (N=44) underwent fMRI while completing well-matched tasks that assess neural response to reward in social and monetary domains. Contrary to our hypotheses, aberrant reward sensitivity blunted the relationship between substance use and striatal activation during receipt of rewards, regardless of domain. Moreover, exploratory whole-brain analyses showed unique relations between substance use and social rewards in temporoparietal junction. Psychophysiological interactions demonstrated that aberrant reward sensitivity is associated with increased connectivity between the VS and ventromedial prefrontal cortex during social rewards. Finally, we found that substance use was associated with decreased connectivity between the VS and dorsomedial prefrontal cortex for social rewards, independent of reward sensitivity. These findings demonstrate nuanced relations between reward sensitivity and substance use, even among those without substance use disorder, and suggest altered reward-related engagement of cortico-VS responses as potential predictors of developing disordered behavior.
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Affiliation(s)
- James B. Wyngaarden
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Camille R. Johnston
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jeff B. Dennison
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Ori Zaff
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Dominic Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY, USA
| | - Michael McCloskey
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Lauren B. Alloy
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - David V. Smith
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Johanna M. Jarcho
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
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Turker S, Kuhnke P, Jiang Z, Hartwigsen G. Disrupted network interactions serve as a neural marker of dyslexia. Commun Biol 2023; 6:1114. [PMID: 37923809 PMCID: PMC10624919 DOI: 10.1038/s42003-023-05499-2] [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: 03/02/2023] [Accepted: 10/24/2023] [Indexed: 11/06/2023] Open
Abstract
Dyslexia, a frequent learning disorder, is characterized by severe impairments in reading and writing and hypoactivation in reading regions in the left hemisphere. Despite decades of research, it remains unclear to date if observed behavioural deficits are caused by aberrant network interactions during reading and whether differences in functional activation and connectivity are directly related to reading performance. Here we provide a comprehensive characterization of reading-related brain connectivity in adults with and without dyslexia. We find disrupted functional coupling between hypoactive reading regions, especially between the left temporo-parietal and occipito-temporal cortices, and an extensive functional disruption of the right cerebellum in adults with dyslexia. Network analyses suggest that individuals with dyslexia process written stimuli via a dorsal decoding route and show stronger reading-related interaction with the right cerebellum. Moreover, increased connectivity within networks is linked to worse reading performance in dyslexia. Collectively, our results provide strong evidence for aberrant task-related connectivity as a neural marker for dyslexia that directly impacts behavioural performance. The observed differences in activation and connectivity suggest that one effective way to alleviate reading problems in dyslexia is through modulating interactions within the reading network with neurostimulation methods.
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Affiliation(s)
- Sabrina Turker
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany.
| | - Philipp Kuhnke
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany
| | - Zhizhao Jiang
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Wilhelm Wundt Institute for Psychology, Leipzig University, 04103, Leipzig, Germany
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6
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Zaff O, Wyngaarden JB, Dennison JB, Sazhin D, Chein J, McCloskey M, Alloy LB, Jarcho JM, Smith DV, Fareri DS. Social Context and Reward Sensitivity Enhance Corticostriatal Function during Experiences of Shared Rewards. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.19.562908. [PMID: 37905048 PMCID: PMC10614966 DOI: 10.1101/2023.10.19.562908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Although prior research has demonstrated enhanced striatal response when sharing rewards with close social connections, less is known about how individual differences affect ventral striatal (VS) activation and connectivity when experiencing rewards within social contexts. Given that self-reported reward sensitivity and level of substance use have been associated with differences in VS activation, we set out to investigate whether these factors would be independently associated with enhancements to neural reward responses within social contexts. In this pre-registered study, participants (N=45) underwent fMRI while playing a card guessing game in which correct or incorrect guesses resulted in monetary gains and losses that were shared evenly with either a close friend, stranger (confederate), or non-human partner. Consistent with our prior work, we found increased VS activation when sharing rewards with a socially close peer as opposed to an out-of-network stranger. As self-reported reward sensitivity increased, the difference in VS response to rewards shared with friends and strangers decreased. We also found enhanced connectivity between the VS and temporoparietal junction when sharing rewards with close friends as opposed to strangers. Finally, exploratory analyses revealed that as reward sensitivity and sub-clinical substance use increase, the difference in VS connectivity with the right fusiform face area increases as a function of social context. These findings demonstrate that responsivity to the context of close friends may be tied to individual reward sensitivity or sub-clinical substance use habits; together these factors may inform predictions of risk for future mental health disorders.
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Affiliation(s)
- Ori Zaff
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - James B. Wyngaarden
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jeffrey B. Dennison
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Daniel Sazhin
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Jason Chein
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Michael McCloskey
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Lauren B. Alloy
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Johanna M. Jarcho
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - David V. Smith
- Department of Psychology & Neuroscience, Temple University, Philadelphia, PA, USA
| | - Dominic S. Fareri
- Derner School of Psychology, Adelphi University, Garden City, NY, USA
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7
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Maliske LZ, Schurz M, Kanske P. Interactions within the social brain: Co-activation and connectivity among networks enabling empathy and Theory of Mind. Neurosci Biobehav Rev 2023; 147:105080. [PMID: 36764638 DOI: 10.1016/j.neubiorev.2023.105080] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 09/08/2022] [Accepted: 02/05/2023] [Indexed: 02/11/2023]
Abstract
Empathy and Theory of Mind (ToM) have classically been studied as separate social functions, however, recent advances demonstrate the need to investigate the two in interaction: naturalistic settings often blur the distinction of affect and cognition and demand the simultaneous processing of such different stimulus dimensions. Here, we investigate how empathy and ToM related brain networks interact in contexts wherein multiple cognitive and affective demands must be processed simultaneously. Building on the findings of a recent meta-analysis and hierarchical clustering analysis, we perform meta-analytic connectivity modeling to determine patterns of task-context specific network changes. We analyze 140 studies including classical empathy and ToM tasks, as well as complex social tasks. For studies at the intersection of empathy and ToM, neural co-activation patterns included areas typically associated with both empathy and ToM. Network integration is discussed as a means of combining mechanisms across unique behavioral domains. Such integration may enable adaptive behavior in complex, naturalistic social settings that require simultaneous processing of a multitude of different affective and cognitive information.
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Affiliation(s)
- Lara Z Maliske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Chemnitzer Straße 46, 01187 Dresden, Germany.
| | - Matthias Schurz
- Institute of Psychology and Digital Science Center, University of Innsbruck, Innrain 52, 6020 Innsbruck, Austria; Donders Institute for Brain, Cognition, & Behaviour, Radboud University, Heyendaalseweg 135, 6525 Nijmegen, Netherlands; Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, 13 Mansifield Road, Oxford OX1 3SR, United Kingdom
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Chemnitzer Straße 46, 01187 Dresden, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103 Leipzig, Germany
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8
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Lei W, Liu K, Chen G, Tolomeo S, Liu C, Peng Z, Liu B, Liang X, Huang C, Xiang B, Zhou J, Zhao F, Yu R, Chen J. Blunted reward prediction error signals in internet gaming disorder. Psychol Med 2022; 52:2124-2133. [PMID: 33143778 DOI: 10.1017/s003329172000402x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Internet gaming disorder (IGD) is a type of behavioural addictions. One of the key features of addiction is the excessive exposure to addictive objectives (e.g. drugs) reduces the sensitivity of the brain reward system to daily rewards (e.g. money). This is thought to be mediated via the signals expressed as dopaminergic reward prediction error (RPE). Emerging evidence highlights blunted RPE signals in drug addictions. However, no study has examined whether IGD also involves alterations in RPE signals that are observed in other types of addictions. METHODS To fill this gap, we used functional magnetic resonance imaging data from 45 IGD and 42 healthy controls (HCs) during a reward-related prediction-error task and utilised a psychophysiological interaction (PPI) analysis to characterise the underlying neural correlates of RPE and related functional connectivity. RESULTS Relative to HCs, IGD individuals showed impaired reinforcement learning, blunted RPE signals in multiple regions of the brain reward system, including the right caudate, left orbitofrontal cortex (OFC), and right dorsolateral prefrontal cortex (DLPFC). Moreover, the PPI analysis revealed a pattern of hyperconnectivity between the right caudate, right putamen, bilateral DLPFC, and right dorsal anterior cingulate cortex (dACC) in the IGD group. Finally, linear regression suggested that the connection between the right DLPFC and right dACC could significantly predict the variation of RPE signals in the left OFC. CONCLUSIONS These results highlight disrupted RPE signalling and hyperconnectivity between regions of the brain reward system in IGD. Reinforcement learning deficits may be crucial underlying characteristics of IGD pathophysiology.
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Affiliation(s)
- Wei Lei
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Kezhi Liu
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guangxiang Chen
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
- Radiology Department, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Serenella Tolomeo
- Department of Psychology, National University of Singapore, Singapore, Singapore
| | - Cuizhen Liu
- Department of Psychology, National University of Singapore, Singapore, Singapore
| | - Zhenlei Peng
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Boya Liu
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xuemei Liang
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Chaohua Huang
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Bo Xiang
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jia Zhou
- School of Humanities and Management Science, Southwest Medical University, Luzhou, China
| | - Fulin Zhao
- Department of Medical Imaging, Southwest Medical University, Luzhou, China
| | - Rongjun Yu
- Department of Psychology, National University of Singapore, Singapore, Singapore
| | - Jing Chen
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Laboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
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9
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Reward enhances connectivity between the ventral striatum and the default mode network. Neuroimage 2022; 258:119398. [PMID: 35724856 PMCID: PMC9343171 DOI: 10.1016/j.neuroimage.2022.119398] [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: 09/02/2021] [Revised: 05/23/2022] [Accepted: 06/16/2022] [Indexed: 11/24/2022] Open
Abstract
The default mode network (DMN) has been theorized to participate in a range of social, cognitive, and affective functions. Yet, previous accounts do not consider how the DMN contributes to other brain regions depending on psychological context, thus rendering our understanding of DMN function incomplete. We addressed this gap by applying a novel network-based psychophysiological interaction (nPPI) analysis to the reward task within the Human Connectome Project. We first focused on the task-evoked responses of the DMN and other networks involving the prefrontal cortex, including the executive control network (salience network) and the left and right frontoparietal networks. Consistent with a host of prior studies, the DMN exhibited a relative decrease in activation during the task, while the other networks exhibited a relative increase during the task. Next, we used nPPI analyses to assess whether these networks exhibit task-dependent changes in connectivity with other brain regions. Strikingly, we found that the experience of reward enhances task-dependent connectivity between the DMN and the ventral striatum, an effect that was specific to the DMN. Surprisingly, the strength of DMN-VS connectivity was correlated with personality characteristics relating to openness. Taken together, these results advance models of DMN by demonstrating how it contributes to other brain systems during task performance and how those contributions relate to individual differences.
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10
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Fareri DS, Hackett K, Tepfer LJ, Kelly V, Henninger N, Reeck C, Giovannetti T, Smith DV. Age-Related Differences in Ventral Striatal and Default Mode Network Function During Reciprocated Trust. Neuroimage 2022; 256:119267. [PMID: 35504565 PMCID: PMC9308012 DOI: 10.1016/j.neuroimage.2022.119267] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 11/04/2022] Open
Abstract
Social relationships change across the lifespan as social networks narrow and motivational priorities shift to the present. Interestingly, aging is also associated with changes in executive function, including decision-making abilities, but it remains unclear how age-related changes in both domains interact to impact financial decisions involving other people. To study this problem, we recruited 50 human participants (Nyounger = 26, ages 18–34; Nolder = 24, ages 63–80) to play an economic trust game as the investor with three partners (friend, stranger, and computer) who played the role of investee. Investors underwent functional magnetic resonance imaging (fMRI) during the trust game while investees were seated outside of the scanner. Building on our previous work with younger adults showing both enhanced striatal responses and altered default-mode network (DMN) connectivity as a function of social closeness during reciprocated trust, we predicted that these relations would exhibit age-related differences. We found that striatal responses to reciprocated trust from friends relative to strangers and computers were blunted in older adults relative to younger adults, thus supporting our primary pre-registered hypothesis regarding social closeness. We also found that older adults exhibited enhanced DMN connectivity with the temporoparietal junction (TPJ) during reciprocated trust from friends compared to computers while younger adults exhibited the opposite pattern. Taken together, these results advance our understanding of age-related differences in sensitivity to social closeness in the context of trusting others.
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Affiliation(s)
- Dominic S Fareri
- Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY, USA.
| | | | - Lindsey J Tepfer
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA
| | - Victoria Kelly
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Nicole Henninger
- Lew Klein College of Media and Communication, Temple University, Philadelphia, PA, USA
| | - Crystal Reeck
- Fox School of Business, Temple University, Philadelphia, PA, USA
| | | | - David V Smith
- Department of Psychology, Temple University, Philadelphia, PA, USA.
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11
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Distinct alterations in cerebellar connectivity with substantia nigra and ventral tegmental area in Parkinson’s disease. Sci Rep 2022; 12:3289. [PMID: 35228561 PMCID: PMC8885704 DOI: 10.1038/s41598-022-07020-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 02/04/2022] [Indexed: 12/26/2022] Open
Abstract
In Parkinson’s disease (PD), neurodegeneration of dopaminergic neurons occurs in the midbrain, specifically targeting the substantia nigra (SN), while leaving the ventral tegmental area (VTA) relatively spared in early phases of the disease. Although the SN and VTA are known to be functionally dissociable in healthy adults, it remains unclear how this dissociation is altered in PD. To examine this issue, we performed a whole-brain analysis to compare functional connectivity in PD to healthy adults using resting-state functional magnetic resonance imaging (rs-fMRI) data compiled from three independent datasets. Our analysis showed that across the sample, the SN had greater connectivity with the precuneus, anterior cingulate gyrus, and areas of the occipital cortex, partially replicating our previous work in healthy young adults. Notably, we also found that, in PD, VTA-right cerebellum connectivity was higher than SN-right cerebellum connectivity, whereas the opposite trend occurred in healthy controls. This double dissociation may reflect a compensatory role of the cerebellum in PD and could provide a potential target for future study and treatment.
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12
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Metoki A, Wang Y, Olson IR. The Social Cerebellum: A Large-Scale Investigation of Functional and Structural Specificity and Connectivity. Cereb Cortex 2022; 32:987-1003. [PMID: 34428293 PMCID: PMC8890001 DOI: 10.1093/cercor/bhab260] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/30/2021] [Accepted: 07/02/2021] [Indexed: 12/15/2022] Open
Abstract
The cerebellum has been traditionally disregarded in relation to nonmotor functions, but recent findings indicate it may be involved in language, affective processing, and social functions. Mentalizing, or Theory of Mind (ToM), is the ability to infer mental states of others and this skill relies on a distributed network of brain regions. Here, we leveraged large-scale multimodal neuroimaging data to elucidate the structural and functional role of the cerebellum in mentalizing. We used functional activations to determine whether the cerebellum has a domain-general or domain-specific functional role, and effective connectivity and probabilistic tractography to map the cerebello-cerebral mentalizing network. We found that the cerebellum is organized in a domain-specific way and that there is a left cerebellar effective and structural lateralization, with more and stronger effective connections from the left cerebellar hemisphere to the right cerebral mentalizing areas, and greater cerebello-thalamo-cortical and cortico-ponto-cerebellar streamline counts from and to the left cerebellum. Our study provides novel insights to the network organization of the cerebellum, an overlooked brain structure, and mentalizing, one of humans' most essential abilities to navigate the social world.
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Affiliation(s)
- Athanasia Metoki
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
- Department of Neurology,Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Yin Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
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Martin S, Saur D, Hartwigsen G. Age-Dependent Contribution of Domain-General Networks to Semantic Cognition. Cereb Cortex 2021; 32:870-890. [PMID: 34464442 PMCID: PMC8841593 DOI: 10.1093/cercor/bhab252] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/30/2021] [Accepted: 07/02/2021] [Indexed: 11/13/2022] Open
Abstract
Aging is characterized by a decline of cognitive control. In semantic cognition, this leads to the paradox that older adults usually show poorer task performance than young adults despite their greater semantic knowledge. So far, the underlying neural changes of these behavioral differences are poorly understood. In the current neuroimaging study, we investigated the interaction of domain-specific and domain-general networks during verbal semantic fluency in young and older adults. Across age groups, task processing was characterized by a strong positive integration within the multiple-demand as well as between the multiple-demand and the default mode network during semantic fluency. However, the behavioral relevance of strengthened connectivity differed between groups: While within-network functional connectivity in both networks predicted greater efficiency in semantic fluency in young adults, it was associated with slower performance in older adults. Moreover, only young adults profited from connectivity between networks for their semantic memory performance. Our results suggest that the functional coupling of usually anticorrelated networks is critical for successful task processing, independent of age, when access to semantic memory is required. Furthermore, our findings lend novel support to the notion of reduced efficiency in the aging brain due to neural dedifferentiation in semantic cognition.
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Affiliation(s)
- Sandra Martin
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.,Language & Aphasia Laboratory, Department of Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Dorothee Saur
- Language & Aphasia Laboratory, Department of Neurology, University of Leipzig Medical Center, 04103 Leipzig, Germany
| | - Gesa Hartwigsen
- Lise Meitner Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany
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14
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Tusche A, Bas LM. Neurocomputational models of altruistic decision-making and social motives: Advances, pitfalls, and future directions. WILEY INTERDISCIPLINARY REVIEWS. COGNITIVE SCIENCE 2021; 12:e1571. [PMID: 34340256 PMCID: PMC9286344 DOI: 10.1002/wcs.1571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 06/23/2021] [Accepted: 07/01/2021] [Indexed: 01/09/2023]
Abstract
This article discusses insights from computational models and social neuroscience into motivations, precursors, and mechanisms of altruistic decision-making and other-regard. We introduce theoretical and methodological tools for researchers who wish to adopt a multilevel, computational approach to study behaviors that promote others' welfare. Using examples from recent studies, we outline multiple mental and neural processes relevant to altruism. To this end, we integrate evidence from neuroimaging, psychology, economics, and formalized mathematical models. We introduce basic mechanisms-pertinent to a broad range of value-based decisions-and social emotions and cognitions commonly recruited when our decisions involve other people. Regarding the latter, we discuss how decomposing distinct facets of social processes can advance altruistic models and the development of novel, targeted interventions. We propose that an accelerated synthesis of computational approaches and social neuroscience represents a critical step towards a more comprehensive understanding of altruistic decision-making. We discuss the utility of this approach to study lifespan differences in social preference in late adulthood, a crucial future direction in aging global populations. Finally, we review potential pitfalls and recommendations for researchers interested in applying a computational approach to their research. This article is categorized under: Economics > Interactive Decision-Making Psychology > Emotion and Motivation Neuroscience > Cognition Economics > Individual Decision-Making.
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Affiliation(s)
- Anita Tusche
- Department of Psychology, Queen's University, Ontario, Kingston, Canada.,Department of Economics, Queen's University, Ontario, Kingston, Canada.,Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, California, USA
| | - Lisa M Bas
- Department of Psychology, Queen's University, Ontario, Kingston, Canada
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15
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Wang Y, Metoki A, Xia Y, Zang Y, He Y, Olson IR. A large-scale structural and functional connectome of social mentalizing. Neuroimage 2021; 236:118115. [PMID: 33933599 DOI: 10.1016/j.neuroimage.2021.118115] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 03/29/2021] [Accepted: 04/13/2021] [Indexed: 12/21/2022] Open
Abstract
Humans have a remarkable ability to infer the mind of others. This mentalizing skill relies on a distributed network of brain regions but how these regions connect and interact is not well understood. Here we leveraged large-scale multimodal neuroimaging data to elucidate the brain-wide organization and mechanisms of mentalizing processing. Key connectomic features of the mentalizing network (MTN) have been delineated in exquisite detail. We found the structural architecture of MTN is organized by two parallel subsystems and constructed redundantly by local and long-range white matter fibers. We uncovered an intrinsic functional architecture that is synchronized according to the degree of mentalizing, and its hierarchy reflects the inherent information integration order. We also examined the correspondence between the structural and functional connectivity in the network and revealed their differences in network topology, individual variance, spatial specificity, and functional specificity. Finally, we scrutinized the connectome resemblance between the default mode network and MTN and elaborated their inherent differences in dynamic patterns, laterality, and homogeneity. Overall, our study demonstrates that mentalizing processing unfolds across functionally heterogeneous regions with highly structured fiber tracts and unique hierarchical functional architecture, which make it distinguishable from the default mode network and other vicinity brain networks supporting autobiographical memory, semantic memory, self-referential, moral reasoning, and mental time travel.
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Affiliation(s)
- Yin Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Athanasia Metoki
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yunman Xia
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yinyin Zang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Yong He
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, PA, USA.
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16
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Brain responses to drug cues predict craving changes in abstinent heroin users: A preliminary study. Neuroimage 2021; 237:118169. [PMID: 34000396 DOI: 10.1016/j.neuroimage.2021.118169] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/25/2021] [Accepted: 05/12/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Loss of control over drug intake occurring in drug addiction is believed to result from disruption of reward circuits, including reduced responsiveness to natural rewards (e.g., monetary, sex) and heightened responsiveness to drug reward. Yet few studies have assessed reward deficiency and related brain responses in abstinent heroin users with opioid use disorder, and less is known whether the brain responses can predict cue-induced craving changes following by prolonged abstinence. METHOD 31 heroin users (age: 44.13±7.68 years, male: 18 (58%), duration of abstinence: 85.2 ± 52.5 days) were enrolled at a mandatory detoxification center. By employing a cue-reactivity paradigm including three types of cues (drug, sexual, neutral), brain regional activations and circuit-level functional coupling were extracted. Among the 31 heroin users, 15 were followed up longitudinally to assess cue induced craving changes in the ensuing 6 months. RESULTS One way analysis of variance results showed that heroin users have differential brain activations to the three cues (neutral, drug and sexual) in the left dorsolateral prefrontal cortex (DLPFC), insula, orbiotofrontal cortex (OFC) and the bilateral thalamus. Drug cue induced greater activations in left DLPFC, insula and OFC compared to sexual cue. The psychophysiological interactions (PPI) analysis revealed negative couplings of the left DLPFC and the left OFC, bilateral thalamus, putamen in heroin users during drug cue exposure. In the 6-month follow-up study, both drug cue induced activation of the left DLPFC and the functional coupling of the left DLPFC-bilateral thalamus at baseline was correlated with craving reductions, which were not found for sexual cues. CONCLUSION Our preliminary study provided novel evidence for the reward deficiency theory of opioid use disorder. Our findings also have clinical implications, as drug cue induced activation of the left DLPFC and functional coupling of left DLPFC-bilateral thalamus may be potential neuroimaging markers for craving changes during prolonged abstinence. Evidently, the findings in the current preliminary study should be confirmed by large sample size in the future.
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Pongpipat EE, Kennedy KM, Foster CM, Boylan MA, Rodrigue KM. Functional Connectivity Within and Between n-Back Modulated Regions: An Adult Lifespan Psychophysiological Interaction Investigation. Brain Connect 2021; 11:103-118. [PMID: 33317393 PMCID: PMC7984940 DOI: 10.1089/brain.2020.0791] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction: Working memory (WM) and its blood-oxygen-level-dependent-related parametric modulation under load decrease with age. Functional connectivity (FC) generally increases with WM load; however, how aging impacts connectivity and whether this is load-dependent, region-dependent, or associated with cognitive performance is unclear. Methods: This study examines these questions in 170 healthy adults (meanage = 52.99 ± 19.18) who completed functional magnetic resonance imaging scanning during an n-back task (0-, 2-, 3-, and 4-back). The FC was estimated by utilizing a modified generalized psychophysiological interaction approach with seeds from fronto-parietal (FP) and default mode (DM) regions that modulated to n-back difficulty. The FC analyses focused on both connectivity during WM engagement (task vs. control) and connectivity in response to increased WM load (linear slope across conditions). Each analysis utilized within- and between-region FC, predicted by age (linear or quadratic), and its associations with in- and out-of-scanner task performance. Results: Engaging in WM either generally (task vs. control) or as a function of difficulty strengthened integration within- and between-FP and DM regions. Notably, these task-sensitive functional connections were robust to the effects of age. Stronger negative FC between FP and DM regions was also associated with better WM performance in an age-dependent manner, occurring selectively in middle-aged and older adults. Discussion: These results suggest that FC is critical for engaging in cognitively demanding tasks, and its lack of sensitivity to healthy aging may provide a means to maintain cognition across the adult lifespan. Thus, this study highlights the contribution of maintenance in brain function to support working memory processing with aging.
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Affiliation(s)
- Ekarin E. Pongpipat
- Center for Vital Longevity, School of Behavioral and Brain Science, The University of Texas at Dallas, Dallas, Texas, USA
| | - Kristen M. Kennedy
- Center for Vital Longevity, School of Behavioral and Brain Science, The University of Texas at Dallas, Dallas, Texas, USA
| | - Chris M. Foster
- Center for Vital Longevity, School of Behavioral and Brain Science, The University of Texas at Dallas, Dallas, Texas, USA
| | - Maria A. Boylan
- Center for Vital Longevity, School of Behavioral and Brain Science, The University of Texas at Dallas, Dallas, Texas, USA
| | - Karen M. Rodrigue
- Center for Vital Longevity, School of Behavioral and Brain Science, The University of Texas at Dallas, Dallas, Texas, USA
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Wei X, Chen J, Zhu J, Li Q, Li W, Wang W. Functional connectivity of posterior cingulate gyrus in heroin dependents treated by methadone maintenance and protracted abstinence measures: an event-related fMRI study. Brain Imaging Behav 2021; 15:2472-2480. [PMID: 33502720 DOI: 10.1007/s11682-020-00447-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/29/2020] [Indexed: 11/29/2022]
Abstract
Protracted abstinence (PA) and Methadone maintenance treatment (MMT) are two main types of heroin addiction treatment, however, the effects of both measures on the functional connectivity (FC) of the brain in heroin dependents in the drug cue event-related response are unclear. Functional magnetic resonance imaging (fMRI) based drug cue-reactivity task has been widely used in addiction research, which may provide a new way to understand the change of brain function during a certain period of treatment. The default function network (DMN) with posterior cingulate cortex (PCC) as the core is generally involved in the process of addiction. The aim of the present study was to explore the brain response of FC in patients with heroin-dependent during PA, MMT treatment under task-fMRI. Twenty-two heroin-dependent patients during PA, 18 heroin-dependent patients during MMT and 16 healthy control (HC) individuals were included to conduct the heroin cue-reactivity task during fMRI. The MMT and PA patients' subjective craving for heroin was evaluated. The psychophysiological interaction (PPI) analysis of SPM12 was used to get FC during the task state. There was a significant difference on FC between PCC and the right medial Prefrontal Cortex (mPFC) in three groups. The post-hoc analysis showed that there was a significant difference of brain regions between the MMT and the PA group. The FC of PCC-mPFC in the MMT group was significantly stronger than that in the PA group. Compared with the PA group, the FC of the DMN in the MMT group was significantly increased under drug cue response. Therefore, PA is more beneficial for the heroin-dependent patients to lower the salience value of drug related cues, in turn to reduce relapse risks. It also reflected the important role of PCC-mPFC pathway in heroin dependents induced by heroin cues.
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Affiliation(s)
- Xuan Wei
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China.,Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No.95, Yong An Road, Xicheng District, Beijing, 100050, China
| | - Jiajie Chen
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China
| | - Jia Zhu
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China
| | - Qiang Li
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China.
| | - Wei Li
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China.
| | - Wei Wang
- Department of Radiology, Tangdu Hospital, Air Force Medical University, 569 Xinsi Road, BaQiao District, Xi'an, 710038, Shaanxi, China
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19
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Fennema D, O'Daly O, Barker GJ, Moll J, Zahn R. Internal reliability of blame-related functional MRI measures in major depressive disorder. NEUROIMAGE: CLINICAL 2021; 32:102901. [PMID: 34911203 PMCID: PMC8640114 DOI: 10.1016/j.nicl.2021.102901] [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: 05/18/2021] [Revised: 10/14/2021] [Accepted: 11/26/2021] [Indexed: 11/02/2022] Open
Abstract
Self-blame-related fMRI measures were previously validated in depressive disorders. Reproducibility and internal consistency as a measure of reliability were examined. Whilst simple fMRI measures exhibited fair reliability, complex measures did not. Yet, complex measures showed reproducible clinical validity at the group level. Connectivity measures, that balance reliability and validity better, are needed.
Background Methods Results Conclusions
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20
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Sazhin D, Frazier AM, Haynes CR, Johnston CR, Chat IKY, Dennison JB, Bart CP, McCloskey ME, Chein JM, Fareri DS, Alloy LB, Jarcho JM, Smith DV. The Role of Social Reward and Corticostriatal Connectivity in Substance Use. JOURNAL OF PSYCHIATRY AND BRAIN SCIENCE 2020; 5:e200024. [PMID: 33215046 PMCID: PMC7673297 DOI: 10.20900/jpbs.20200024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
This report describes an ongoing R03 grant that explores the links between trait reward sensitivity, substance use, and neural responses to social and nonsocial reward. Although previous research has shown that trait reward sensitivity and neural responses to reward are linked to substance use, whether this relationship is impacted by how people process social stimuli remains unclear. We are investigating these questions via a neuroimaging study with college-aged participants, using individual difference measures that examine the relation between substance use, social context, and trait reward sensitivity with tasks that measure reward anticipation, strategic behavior, social reward consumption, and the influence of social context on reward processing. We predict that substance use will be tied to distinct patterns of striatal dysfunction. Specifically, reward hyposensitive individuals will exhibit blunted striatal responses to social and non-social reward and enhanced connectivity with the orbitofrontal cortex; in contrast, reward hypersensitive individuals will exhibit enhanced striatal responses to social and non-social reward and blunted connectivity with the orbitofrontal cortex. We also will examine the relation between self-reported reward sensitivity, substance use, and striatal responses to social reward and social context. We predict that individuals reporting the highest levels of substance use will show exaggerated striatal responses to social reward and social context, independent of self-reported reward sensitivity. Examining corticostriatal responses to reward processing will help characterize the relation between reward sensitivity, social context and substance use while providing a foundation for understanding risk factors and isolating neurocognitive mechanisms that may be targeted to increase the efficacy of interventions.
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Affiliation(s)
- Daniel Sazhin
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | | | - Caleb R. Haynes
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | | | - Iris Ka-Yi Chat
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | | | - Corinne P. Bart
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | | | - Jason M. Chein
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Dominic S. Fareri
- Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY 11530, USA
| | - Lauren B. Alloy
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - Johanna M. Jarcho
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
| | - David V. Smith
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
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21
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Functional parcellation of the default mode network: a large-scale meta-analysis. Sci Rep 2020; 10:16096. [PMID: 32999307 PMCID: PMC7528067 DOI: 10.1038/s41598-020-72317-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 08/19/2020] [Indexed: 11/08/2022] Open
Abstract
The default mode network (DMN) consists of several regions that selectively interact to support distinct domains of cognition. Of the various sites that partake in DMN function, the posterior cingulate cortex (PCC), temporal parietal junction (TPJ), and medial prefrontal cortex (MPFC) are frequently identified as key contributors. Yet, it remains unclear whether these subcomponents of the DMN make unique contributions to specific cognitive processes and health conditions. To address this issue, we applied a meta-analytic parcellation approach used in prior work. This approach used the Neurosynth database and classification methods to quantify the association between PCC, TPJ, and MPFC activation and specific topics related to cognition and health (e.g., decision making and smoking). Our analyses replicated prior observations that the PCC, TPJ, and MPFC collectively support multiple cognitive functions such as decision making, memory, and awareness. To gain insight into the functional organization of each region, we parceled each region based on its coactivation pattern with the rest of the brain. This analysis indicated that each region could be further subdivided into functionally distinct subcomponents. Taken together, we further delineate DMN function by demonstrating the relative strengths of association among subcomponents across a range of cognitive processes and health conditions. A continued attentiveness to the specialization within the DMN allows future work to consider the nuances in sub-regional contributions necessary for healthy cognition, as well as create the potential for more targeted treatment protocols in various health conditions.
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Abstract
This report describes the protocol for an ongoing project funded by the National Institutes of Health (R01MH108155) that is focused on effects of childhood maltreatment (MALTX) on neurocircuitry changes associated with adolescent major depressive disorder (MDD). Extant clinical and neuroimaging literature on MDD is reviewed, which has relied on heterogeneous samples that do not parse out the unique contribution of MALTX on neurobiological changes in MDD. Employing a 2 × 2 study design (controls with no MALTX or MDD, MALTX only, MDD only, and MDD + MALTX), and based on a cohesive theoretical model that incorporates behavioral, cognitive and neurobiological domains, we describe the multi-modal neuroimaging techniques used to test whether structural and functional alterations in the fronto-limbic and fronto-striatal circuits associated with adolescent MDD are moderated by MALTX. We hypothesize that MDD + MALTX youth will show alterations in the fronto-limbic circuit, with reduced connectivity between the amygdala (AMG) and the prefrontal cortex (PFC), as the AMG is sensitive to stress/threat during development. Participants with MDD will exhibit increased functional connectivity between the AMG and PFC due to self-referential negative emotions. Lastly, MDD + MALTX will only show changes in motivational/anticipatory aspects of the fronto-striatal circuit, and MDD will exhibit changes in motivational and consummatory/outcome aspects of reward-processing. Our goal is to identify distinct neural substrates associated with MDD due to MALTX compared to other causes, as these markers could be used to more effectively predict treatment outcome, index treatment response, and facilitate alternative treatments for adolescents who do not respond well to traditional approaches.
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23
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Huang YA, Dupont P, Van de Vliet L, Jastorff J, Peeters R, Theys T, van Loon J, Van Paesschen W, Van den Stock J, Vandenbulcke M. Network level characteristics in the emotion recognition network after unilateral temporal lobe surgery. Eur J Neurosci 2020; 52:3470-3484. [PMID: 32618060 DOI: 10.1111/ejn.14849] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 05/12/2020] [Accepted: 05/27/2020] [Indexed: 02/06/2023]
Abstract
The human amygdala is considered a key region for successful emotion recognition. We recently reported that temporal lobe surgery (TLS), including resection of the amygdala, does not affect emotion recognition performance (Journal of Neuroscience, 2018, 38, 9263). In the present study, we investigate the neural basis of this preserved function at the network level. We use generalized psychophysiological interaction and graph theory indices to investigate network level characteristics of the emotion recognition network in TLS patients and healthy controls. Based on conflicting emotion processing theories, we anticipated two possible outcomes: a substantial increase of the non-amygdalar connections of the emotion recognition network to compensate functionally for the loss of the amygdala, in line with basic emotion theory versus only minor changes in network level properties as predicted by psychological construction theory. We defined the emotion recognition network in the total sample and investigated group differences on five network level indices (i.e. characteristic path length, global efficiency, clustering coefficient, local efficiency and small-worldness). The results did not reveal a significant increase in the left or right temporal lobectomy group (compared to the control group) in any of the graph measures, indicating that preserved behavioural emotion recognition in TLS is not associated with a massive connectivity increase between non-amygdalar nodes at network level. We conclude that the emotion recognition network is robust and functionally able to compensate for structural damage without substantial global reorganization, in line with a psychological construction theory.
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Affiliation(s)
- Yun-An Huang
- Department of Neurosciences, Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Patrick Dupont
- Department of Neurosciences, Laboratory for Cognitive Neurology, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Laura Van de Vliet
- Department of Neurosciences, Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Jan Jastorff
- Department of Neurosciences, Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Ron Peeters
- Department of Imaging & Pathology, Radiology, KU Leuven, Leuven, Belgium
| | - Tom Theys
- Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Johannes van Loon
- Department of Neurosciences, Research Group Experimental Neurosurgery and Neuroanatomy, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Wim Van Paesschen
- Department of Neurosciences, Research Group Experimental Neurology, Laboratory for Epilepsy Research, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Jan Van den Stock
- Department of Neurosciences, Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Department of Neurosciences, Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium.,Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium
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24
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Di X, Biswal BB. Toward Task Connectomics: Examining Whole-Brain Task Modulated Connectivity in Different Task Domains. Cereb Cortex 2020; 29:1572-1583. [PMID: 29931116 DOI: 10.1093/cercor/bhy055] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 02/16/2018] [Indexed: 11/12/2022] Open
Abstract
Human brain anatomical and resting-state functional connectivity have been comprehensively portrayed using MRI, which are termed anatomical and functional connectomes. A systematic examination of tasks modulated whole brain functional connectivity, which we term as task connectome, is still lacking. We analyzed 6 block-designed and 1 event-related designed functional MRI data, and examined whole-brain task modulated connectivity in various task domains, including emotion, reward, language, relation, social cognition, working memory, and inhibition. By using psychophysiological interaction between pairs of regions from the whole brain, we identified statistically significant task modulated connectivity in 4 tasks between their experimental and respective control conditions. Task modulated connectivity was found not only between regions that were activated during the task but also regions that were not activated or deactivated, suggesting a broader involvement of brain regions in a task than indicated by simple regional activations. Decreased functional connectivity was observed in all the 4 tasks and sometimes reduced connectivity was even between regions that were both activated during the task. This suggests that brain regions that are activated together do not necessarily work together. The current study demonstrates the comprehensive task connectomes of 4 tasks, and suggested complex relationships between regional activations and connectivity changes.
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Affiliation(s)
- Xin Di
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Bharat B Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
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25
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Fareri DS, Smith DV, Delgado MR. The influence of relationship closeness on default-mode network connectivity during social interactions. Soc Cogn Affect Neurosci 2020; 15:261-271. [PMID: 32232362 PMCID: PMC7235957 DOI: 10.1093/scan/nsaa031] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 01/07/2020] [Accepted: 03/06/2020] [Indexed: 01/05/2023] Open
Abstract
Reciprocated trust plays a critical role in forming and maintaining relationships, and has consistently been shown to implicate neural circuits involved in reward-related processing and social cognition. Less is known about neural network connectivity during social interactions involving trust, however, particularly as a function of closeness between an investor and a trustee. We examined network reactivity and connectivity in participants who played an economic trust game with close friends, strangers and a computer. Network reactivity analyses showed enhanced activation of the default-mode network (DMN) to social relative to non-social outcomes. A novel network psychophysiological interaction (nPPI) analysis revealed enhanced connectivity between the DMN and the superior frontal gyrus and superior parietal lobule when experiencing reciprocated vs violated trust from friends relative to strangers. Such connectivity tracked with differences in self-reported social closeness with these partners. Interestingly, reactivity of the executive control network (ECN), involved in decision processes, demonstrated no social vs non-social preference, and ECN-ventral striatum connectivity did not track social closeness. Taken together, these novel findings suggest that DMN interacts with components of attention and control networks to signal the relative importance of positive experiences with close others vs strangers.
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Affiliation(s)
- Dominic S Fareri
- Gordon F. Derner School of Psychology, Adelphi University, Garden City, NY 11530, USA
| | - David V Smith
- Department of Psychology, Temple University, Philadelphia, PA 19122, USA
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26
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Wang Y, Metoki A, Smith DV, Medaglia JD, Zang Y, Benear S, Popal H, Lin Y, Olson IR. Multimodal mapping of the face connectome. Nat Hum Behav 2020; 4:397-411. [PMID: 31988441 PMCID: PMC7167350 DOI: 10.1038/s41562-019-0811-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 12/09/2019] [Indexed: 01/13/2023]
Abstract
Face processing supports our ability to recognize friend from foe, form tribes and understand the emotional implications of changes in facial musculature. This skill relies on a distributed network of brain regions, but how these regions interact is poorly understood. Here we integrate anatomical and functional connectivity measurements with behavioural assays to create a global model of the face connectome. We dissect key features, such as the network topology and fibre composition. We propose a neurocognitive model with three core streams; face processing along these streams occurs in a parallel and reciprocal manner. Although long-range fibre paths are important, the face network is dominated by short-range fibres. Finally, we provide evidence that the well-known right lateralization of face processing arises from imbalanced intra- and interhemispheric connections. In summary, the face network relies on dynamic communication across highly structured fibre tracts, enabling coherent face processing that underpins behaviour and cognition.
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Affiliation(s)
- Yin Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Athanasia Metoki
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - David V Smith
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - John D Medaglia
- Department of Psychology, Drexel University, Philadelphia, PA, USA
- Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yinyin Zang
- School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing, China
| | - Susan Benear
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Haroon Popal
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Ying Lin
- Department of Psychology, Temple University, Philadelphia, PA, USA
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, PA, USA.
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27
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Abstract
We report on the ongoing R21 project “Social Reward Learning in Schizophrenia”. Impairments in social cognition are a hallmark of schizophrenia. However, little work has been done on social reward learning deficits in schizophrenia. The overall goal of the project is to assess social reward learning in schizophrenia. A probabilistic reward learning (PRL) task is being used in the MRI scanner to evaluate reward learning to negative and positive social feedback. Monetary reward learning is used as a comparison to assess specificity. Behavioral outcomes and brain areas, included those involved in reward, are assessed in patients with schizophrenia or schizoaffective disorder and controls. It is also critical to determine whether decreased expected value (EV) of social stimuli and/or reward prediction error (RPE) learning underlie social reward learning deficits to inform potential treatment pathways. Our central hypothesis is that the pattern of social learning deficits is an extension of a more general reward learning impairment in schizophrenia and that social reward learning deficits critically contribute to deficits in social motivation and pleasure. We hypothesize that people with schizophrenia will show impaired behavioral social reward learning compared to controls, as well as decreased ventromedial prefrontal cortex (vmPFC) EV signaling at time of choice and decreased striatal RPE signaling at time of outcome, with potentially greater impairment to positive than negative feedback. The grant is in its second year. It is hoped that this innovative approach may lead to novel and more targeted treatment approaches for social cognitive impairments, using cognitive remediation and/or brain stimulation.
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28
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Sung D, Park B, Kim SY, Kim BN, Park S, Jung KI, Kim J, Park MH. Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population. Sci Rep 2020; 10:3853. [PMID: 32123208 PMCID: PMC7051958 DOI: 10.1038/s41598-020-60692-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 02/11/2020] [Indexed: 11/12/2022] Open
Abstract
Although sleep disturbances are highly prevalent in adolescents, neuroimaging evidence on the effects of sleep disturbances on their developing brains remains limited. Therefore, we explored gray matter volumes (GMVs) at the whole-brain level and investigated their relationship to sleep disturbances in a sample of Korean adolescents in the general population. We recruited participants from one middle school and high school. All participants and their legal guardians gave informed consent before participating in our study. We used component 5 of the Pittsburgh Sleep Quality Index to measure sleep disturbances and conducted a voxel-based morphometry-DARTEL procedure to measure GMVs. We performed partial correlation analyses to examine whether the GMVs were associated with sleep disturbances. A total of 56 adolescents participated in this study. Our results revealed that GMVs in multiple global regions were negatively correlated with sleep disturbances. Moreover, most of these identified regions belong to large-scale brain networks categorized by functional neuroimaging studies. We found an association between regional GMVs in multiple global regions involved in large-scale networks and the severity of sleep disturbances in the adolescent population. Based on this evidence and previous neuroimaging evidence, we suggest that structural alterations in the networks may be linked to sleep disturbances.
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Affiliation(s)
- Dajung Sung
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea
- Office of Biostatistics, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea
| | - Shin-Young Kim
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Bung-Nyun Kim
- Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Subin Park
- Department of Research Planning, National Center for Mental Health, Seoul, Republic of Korea
| | - Kyu-In Jung
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Jungjin Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Min-Hyeon Park
- Department of Psychiatry, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
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29
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Concurrent amygdalar and ventromedial prefrontal cortical responses during emotion processing: a meta-analysis of the effects of valence of emotion and passive exposure versus active regulation. Brain Struct Funct 2019; 225:345-363. [PMID: 31863185 DOI: 10.1007/s00429-019-02007-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 12/09/2019] [Indexed: 01/04/2023]
Abstract
Anatomically interconnected, the ventromedial prefrontal cortex (vmPFC) and amygdala interact in emotion processing. However, no meta-analyses have focused on studies that reported concurrent vmPFC and amygdala activities. With activation likelihood estimation (ALE) we examined 100 experiments that reported concurrent vmPFC and amygdala activities, and distinguished responses to positive vs. negative emotions and to passive exposure to vs. active regulation of emotions. We also investigated whole-brain experiments for other regional activities. ALE and contrast analyses identified convergent anterior and posterior vmPFC response to passive positive and negative emotions, respectively, and a subregion in between to mixed emotions. A smaller area in the posterior ventral vmPFC is specifically involved in regulation of negative emotion. Whereas bilateral amygdala was involved during emotional exposure, only the left amygdala showed convergent activities during active regulation of negative emotions. Whole-brain analysis showed convergent activity in left ventral striatum for passive exposure to positive emotions and downregulation of negative emotions, and in the posterior cingulate cortex and ventral precuneus for passive exposure to negative emotions. These findings highlight contrasting, valence-specific subregional vmPFC as well as other regional responses during passive exposure to emotions. The findings also suggest that hyperactivation of the vmPFC is associated with diminished right amygdala activities during regulation of negative emotions. Together, the findings extend the literature by specifying the roles of subregional vmPFC and amygdala activities in emotion processing.
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30
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Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit. Transl Psychiatry 2019; 9:293. [PMID: 31712555 PMCID: PMC6848107 DOI: 10.1038/s41398-019-0644-x] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 08/08/2019] [Indexed: 01/01/2023] Open
Abstract
Many neuroimaging studies have investigated reward processing dysfunction in major depressive disorder. These studies have led to the common idea that major depressive disorder is associated with blunted responses within the reward circuit, particularly in the ventral striatum. Yet, the link between major depressive disorder and reward-related responses in other regions remains inconclusive, thus limiting our understanding of the pathophysiology of major depressive disorder. To address this issue, we performed a coordinate-based meta-analysis of 41 whole-brain neuroimaging studies encompassing reward-related responses from a total of 794 patients with major depressive disorder and 803 healthy controls. Our findings argue against the common idea that major depressive disorder is primarily linked to deficits within the reward system. Instead, our results demonstrate that major depressive disorder is associated with opposing abnormalities in the reward circuit: hypo-responses in the ventral striatum and hyper-responses in the orbitofrontal cortex. The current findings suggest that dysregulated corticostriatal connectivity may underlie reward-processing abnormalities in major depressive disorder, providing an empirical foundation for a more refined understanding of abnormalities in the reward circuitry in major depressive disorder.
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31
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Gao C, Weber CE, Shinkareva SV. The brain basis of audiovisual affective processing: Evidence from a coordinate-based activation likelihood estimation meta-analysis. Cortex 2019; 120:66-77. [DOI: 10.1016/j.cortex.2019.05.016] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 05/03/2019] [Accepted: 05/28/2019] [Indexed: 01/19/2023]
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32
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Functional network connectivity changes in children with attention‐deficit hyperactivity disorder: A resting‐state fMRI study. Int J Dev Neurosci 2019; 78:1-6. [DOI: 10.1016/j.ijdevneu.2019.07.003] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Revised: 06/18/2019] [Accepted: 07/08/2019] [Indexed: 10/26/2022] Open
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33
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Kurtz-David V, Persitz D, Webb R, Levy DJ. The neural computation of inconsistent choice behavior. Nat Commun 2019; 10:1583. [PMID: 30952855 PMCID: PMC6450930 DOI: 10.1038/s41467-019-09343-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 02/05/2019] [Indexed: 01/08/2023] Open
Abstract
Humans are often inconsistent (irrational) when choosing among simple bundles of goods, even without any particular changes to framing or context. However, the neural computations that give rise to such inconsistencies are still unknown. Similar to sensory perception and motor output, we propose that a substantial component of inconsistent behavior is due to variability in the neural computation of value. Here, we develop a novel index that measures the severity of inconsistency of each choice, enabling us to directly trace its neural correlates. We find that the BOLD signal in the vmPFC, ACC, and PCC is correlated with the severity of inconsistency on each trial and with the subjective value of the chosen alternative. This suggests that deviations from rational choice arise in the regions responsible for value computation. We offer a computational model of how variability in value computation is a source of inconsistent choices.
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Affiliation(s)
- Vered Kurtz-David
- Coller School of Management, Tel Aviv University, 55 Haim Levanon street, Ramat Aviv, Tel Aviv-Yafo, Israel, 6997801
| | - Dotan Persitz
- Coller School of Management, Tel Aviv University, 55 Haim Levanon street, Ramat Aviv, Tel Aviv-Yafo, Israel, 6997801
| | - Ryan Webb
- Rotman School of Management, University of Toronto, 105 St George St, Toronto, ON, M5S 3E6, Canada.,Department of Economics, University of Toronto, 50 St George St, Toronto, ON, M5S 3G7, Canada
| | - Dino J Levy
- Coller School of Management, Tel Aviv University, 55 Haim Levanon street, Ramat Aviv, Tel Aviv-Yafo, Israel, 6997801. .,Sagol School of Neuroscience, Tel Aviv University, 55 Haim Levanon street, Ramat Aviv, Tel Aviv-Yafo, Israel, 6997801.
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34
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Scult MA, Fresco DM, Gunning FM, Liston C, Seeley SH, García E, Mennin DS. Changes in Functional Connectivity Following Treatment With Emotion Regulation Therapy. Front Behav Neurosci 2019; 13:10. [PMID: 30778290 PMCID: PMC6369363 DOI: 10.3389/fnbeh.2019.00010] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 01/15/2019] [Indexed: 12/21/2022] Open
Abstract
Emotion regulation therapy (ERT) is an efficacious treatment for distress disorders (i.e., depression and anxiety), predicated on a conceptual model wherein difficult to treat distress arises from intense emotionality (e.g., neuroticism, dispositional negativity) and is prolonged by negative self-referentiality (e.g., worry, rumination). Individuals with distress disorders exhibit disruptions in two corresponding brain networks including the salience network (SN) reflecting emotion/motivation and the default mode network (DMN) reflecting self-referentiality. Using resting-state functional connectivity (rsFC) analyses, seeded with primary regions in each of these networks, we investigated whether ERT was associated with theoretically consistent changes across nodes of these networks and whether these changes related to improvements in clinical outcomes. This study examined 21 generalized anxiety disorder (GAD) patients [with and without major depressive disorder (MDD)] drawn from a larger intervention trial (Renna et al., 2018a), who completed resting state fMRI scans before and after receiving 16 sessions of ERT. We utilized seed-based connectivity analysis with seeds in the posterior cingulate cortex (PCC), right anterior insula, and right posterior insula, to investigate whether ERT was associated with changes in connectivity of nodes of the DMN and SN networks to regions across the brain. Findings revealed statistically significant treatment linked changes in both the DMN and SN network nodes, and these changes were associated with clinical improvement corresponding to medium effect sizes. The results are discussed in light of a nuanced understanding of the role of connectivity changes in GAD and MDD, and begin to provide neural network support for the hypothesized treatment model predicated by ERT.
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Affiliation(s)
- Matthew A Scult
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States.,Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - David M Fresco
- Department of Psychological Science, Kent State University, Kent, OH, United States.,Department of Psychiatry, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Faith M Gunning
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States
| | - Conor Liston
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States.,Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
| | - Saren H Seeley
- Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Emmanuel García
- The Graduate Center, City College of New York, City University of New York (CUNY), New York, NY, United States.,Hunter College, City University of New York, New York, NY, United States
| | - Douglas S Mennin
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, United States
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35
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Scult MA, Fresco DM, Gunning FM, Liston C, Seeley SH, García E, Mennin DS. Changes in Functional Connectivity Following Treatment With Emotion Regulation Therapy. Front Behav Neurosci 2019; 13:10. [PMID: 30778290 DOI: 10.3389/fnbeh.2019.00010/bibtex] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Accepted: 01/15/2019] [Indexed: 05/20/2023] Open
Abstract
Emotion regulation therapy (ERT) is an efficacious treatment for distress disorders (i.e., depression and anxiety), predicated on a conceptual model wherein difficult to treat distress arises from intense emotionality (e.g., neuroticism, dispositional negativity) and is prolonged by negative self-referentiality (e.g., worry, rumination). Individuals with distress disorders exhibit disruptions in two corresponding brain networks including the salience network (SN) reflecting emotion/motivation and the default mode network (DMN) reflecting self-referentiality. Using resting-state functional connectivity (rsFC) analyses, seeded with primary regions in each of these networks, we investigated whether ERT was associated with theoretically consistent changes across nodes of these networks and whether these changes related to improvements in clinical outcomes. This study examined 21 generalized anxiety disorder (GAD) patients [with and without major depressive disorder (MDD)] drawn from a larger intervention trial (Renna et al., 2018a), who completed resting state fMRI scans before and after receiving 16 sessions of ERT. We utilized seed-based connectivity analysis with seeds in the posterior cingulate cortex (PCC), right anterior insula, and right posterior insula, to investigate whether ERT was associated with changes in connectivity of nodes of the DMN and SN networks to regions across the brain. Findings revealed statistically significant treatment linked changes in both the DMN and SN network nodes, and these changes were associated with clinical improvement corresponding to medium effect sizes. The results are discussed in light of a nuanced understanding of the role of connectivity changes in GAD and MDD, and begin to provide neural network support for the hypothesized treatment model predicated by ERT.
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Affiliation(s)
- Matthew A Scult
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States
- Department of Psychology & Neuroscience, Duke University, Durham, NC, United States
| | - David M Fresco
- Department of Psychological Science, Kent State University, Kent, OH, United States
- Department of Psychiatry, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Faith M Gunning
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States
| | - Conor Liston
- Department of Psychiatry, Weill Cornell Medicine, New York, NY, United States
- Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, United States
| | - Saren H Seeley
- Department of Psychology, University of Arizona, Tucson, AZ, United States
| | - Emmanuel García
- The Graduate Center, City College of New York, City University of New York (CUNY), New York, NY, United States
- Hunter College, City University of New York, New York, NY, United States
| | - Douglas S Mennin
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, United States
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36
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Parro C, Dixon ML, Christoff K. The neural basis of motivational influences on cognitive control. Hum Brain Mapp 2018; 39:5097-5111. [PMID: 30120846 DOI: 10.1002/hbm.24348] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Revised: 07/16/2018] [Accepted: 07/30/2018] [Indexed: 12/22/2022] Open
Abstract
Cognitive control mechanisms support the deliberate regulation of thought and behavior based on current goals. Recent work suggests that motivational incentives improve cognitive control and has begun to elucidate critical neural substrates. We conducted a quantitative meta-analysis of neuroimaging studies of motivated cognitive control using activation likelihood estimation (ALE) and Neurosynth to delineate the brain regions that are consistently activated across studies. The analysis included studies that investigated changes in brain activation during cognitive control tasks when reward incentives were present versus absent. The ALE analysis revealed consistent recruitment in regions associated with the frontoparietal control network including the inferior frontal sulcus and intraparietal sulcus, as well as regions associated with the salience network including the anterior insula and anterior mid-cingulate cortex. As a complementary analysis, we performed a large-scale exploratory meta-analysis using Neurosynth to identify regions that are recruited in studies using of the terms cognitive control and incentive. This analysis replicated the ALE results and also identified the rostrolateral prefrontal cortex, caudate nucleus, nucleus accumbens, medial thalamus, inferior frontal junction, premotor cortex, and hippocampus. Finally, we separately compared recruitment during cue and target periods, which tap into proactive engagement of rule-outcome associations, and the mobilization of appropriate viscero-motor states to execute a response, respectively. We found that largely distinct sets of brain regions are recruited during cue and target periods. Altogether, these findings suggest that flexible interactions between frontoparietal, salience, and dopaminergic midbrain-striatal networks may allow control demands to be precisely tailored based on expected value.
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Affiliation(s)
- Cameron Parro
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matthew L Dixon
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kalina Christoff
- Department of Psychology, University of British Columbia, Vancouver, British Columbia, Canada.,Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
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37
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Diehl MM, Lempert KM, Parr AC, Ballard I, Steele VR, Smith DV. Toward an integrative perspective on the neural mechanisms underlying persistent maladaptive behaviors. Eur J Neurosci 2018; 48:1870-1883. [PMID: 30044022 PMCID: PMC6113118 DOI: 10.1111/ejn.14083] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Revised: 06/13/2018] [Accepted: 06/26/2018] [Indexed: 01/29/2023]
Affiliation(s)
- Maria M. Diehl
- Department of Psychiatry, University of Puerto Rico School of Medicine, San Juan, PR 00936
| | - Karolina M. Lempert
- Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104
| | - Ashley C. Parr
- Centre for Neuroscience Studies, Queen’s University, Kingston, Ontario
| | - Ian Ballard
- Neurosciences Graduate Training Program, Stanford University, Stanford, CA 94305
| | - Vaughn R. Steele
- Neuroimaging Research Branch, National Institute on Drug Abuse, Intramural Research Program, National Institutes of Health, Baltimore, MD, USA
| | - David V. Smith
- Department of Psychology, Temple University, Philadelphia, PA 19122
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38
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Facing temptation: The neural correlates of gambling availability during sports picture exposure. COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2018; 18:718-729. [PMID: 29700724 DOI: 10.3758/s13415-018-0599-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Nowadays, sports betting has become increasingly available and easy to engage in. Here we examined the neural responses to stimuli that represent sporting events available for betting as compared to sporting events without a gambling opportunity. We used a cue exposure task in which football (soccer) fans (N = 42) viewed cues depicting scheduled football games that would occur shortly after the scanning session. In the "betting" condition, participants were instructed to choose, at the end of each block, the game (and the team) they wanted to bet on. In the "watching" condition, participants chose the game they would prefer to watch. After the scanning session, participants completed posttask rating questionnaires assessing, for each cue, their level of confidence about the team they believed would win and how much they would enjoy watching the game. We found that stimuli representing sport events available for betting elicited higher fronto-striatal activation, as well as higher insular cortex activity and functional connectivity, than sport events without a gambling opportunity. Moreover, games rated with more confidence towards the winning team resulted in greater brain activations within regions involved in affective decision-making (ventromedial prefrontal cortex), cognitive inhibitory control (medial and superior frontal gyri) and reward processing (ventral and dorsal striatum). Altogether, these novel findings offer a sensible simulation of how the high availability of sports betting in today's environment impacts on the reward and cognitive control systems. Future studies are needed to extend the present findings to a sample of football fans that includes a samilar proportion of female and male participants.
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39
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King DR, de Chastelaine M, Rugg MD. Recollection-related increases in functional connectivity across the healthy adult lifespan. Neurobiol Aging 2018; 62:1-19. [PMID: 29101898 PMCID: PMC5753578 DOI: 10.1016/j.neurobiolaging.2017.09.026] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Revised: 09/20/2017] [Accepted: 09/23/2017] [Indexed: 12/24/2022]
Abstract
In young adults, recollection-sensitive brain regions exhibit enhanced connectivity with a widely distributed set of other regions during successful versus unsuccessful recollection, and the magnitude of connectivity change correlates with individual differences in recollection accuracy. Here, we examined whether recollection-related changes in connectivity and their relationship with performance varied across samples of young, middle-aged, and older adults. Psychophysiological interaction analyses identified recollection-related increases in connectivity both with recollection-sensitive seed regions and among regions distributed throughout the whole brain. The seed-based approach failed to identify age-related differences in recollection-related connectivity change. However, the whole-brain analysis revealed a number of age-related effects. Numerous pairs of regions exhibited a main effect of age on connectivity change, mostly due to decreased change with increasing age. After controlling for recollection accuracy, however, these effects of age were for the most part no longer significant, and those effects that were detected now reflected age-related increases in connectivity change. A subset of pairs of regions also exhibited an age by performance interaction, driven mostly by a weaker relationship between connectivity change and recollection accuracy with increasing age. We conjecture that these effects reflect age-related differences in neuromodulation.
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Affiliation(s)
- Danielle R King
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA.
| | - Marianne de Chastelaine
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
| | - Michael D Rugg
- Center for Vital Longevity and School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX, USA
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40
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Fujiwara J, Usui N, Eifuku S, Iijima T, Taira M, Tsutsui KI, Tobler PN. Ventrolateral Prefrontal Cortex Updates Chosen Value According to Choice Set Size. J Cogn Neurosci 2017; 30:307-318. [PMID: 29131745 DOI: 10.1162/jocn_a_01207] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Having chosen an item typically increases the subjective value of the chosen item, and people generally enjoy making choices from larger choice sets. However, having too many items to choose from can reduce the value of chosen items-for example, because of conflict or choice difficulty. In this study, we investigated the effects of choice set size on behavioral and neural value updating (revaluation) of the chosen item. In the scanner, participants selected items from choice sets of various sizes (one, two, four, or eight items). After they chose an item, participants rerated the chosen item, and we quantified revaluation by taking the difference of postchoice minus prechoice ratings. Revaluation of chosen items increased up to choice sets of four alternatives but then decreased again for items chosen from choice sets of eight alternatives, revealing both a linear and a quadratic effect of choice set size. At the time of postchoice rating, activation of the ventrolateral pFC (VLPFC) reflected the influence of choice set size on parametric revaluation, without significant relation to either prechoice or postchoice ratings tested separately. Additional analyses revealed relations of choice set size to anterior cingulate and insula activity during actual choice and increased coupling of both regions to revaluation-related VLPFC during postchoice rating. These data suggest that the VLPFC plays a central role in a network that relates choice set size to updating the value of chosen items and integrates choice overload with value-enhancing effects of larger choice sets.
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Affiliation(s)
- Juri Fujiwara
- University of Zurich.,Tohoku University.,Fukushima Medical University.,Tokyo Medical and Dental University
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41
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Large-Scale Network Coupling with the Fusiform Cortex Facilitates Future Social Motivation. eNeuro 2017; 4:eN-NWR-0084-17. [PMID: 29034316 PMCID: PMC5635486 DOI: 10.1523/eneuro.0084-17.2017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Revised: 09/20/2017] [Accepted: 09/26/2017] [Indexed: 11/21/2022] Open
Abstract
Large-scale functional networks, as identified through the coordinated activity of spatially distributed brain regions, have become central objects of study in neuroscience because of their contributions to many processing domains. Yet, it remains unclear how these domain-general networks interact with focal brain regions to coordinate thought and action. Here, we investigated how the default-mode network (DMN) and executive control network (ECN), two networks associated with goal-directed behavior, shape task performance through their coupling with other cortical regions several seconds in advance of behavior. We measured these networks' connectivity during an adaptation of the monetary incentive delay (MID) response-time task in which human participants viewed social and nonsocial images (i.e., pictures of faces and landscapes, respectively) while brain activity was measured using fMRI. We found that participants displayed slower reaction times (RTs) subsequent to social trials relative to nonsocial trials. To examine the neural mechanisms driving this subsequent-RT effect, we integrated independent components analysis (ICA) and a network-based psychophysiological interaction (nPPI) analysis; this allowed us to investigate task-related changes in network coupling that preceded the observed trial-to-trial variation in RT. Strikingly, when subjects viewed social rewards, an area of the fusiform gyrus (FG) consistent with the functionally-defined fusiform face area (FFA) exhibited increased coupling with the ECN (relative to the DMN), and the relative magnitude of coupling tracked the slowing of RT on the following trial. These results demonstrate how large-scale, domain-general networks can interact with focal, domain-specific cortical regions to orchestrate subsequent behavior.
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42
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Zhang J, Qian S, Jiang Q, Gong G, Liu K, Li B, Yin Y, Sun G. Thalamocortical neural responses during hyperthermia: a resting-state functional MRI study. Int J Hyperthermia 2017; 34:891-899. [PMID: 28927330 DOI: 10.1080/02656736.2017.1382014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
The neural responses during hyperthermia, once thought of as simple physiological processes (e.g. thermal sensation and regulation), have now been recognised involving more cognitive processes, which would be of high importance to the management of those occupations during heavy heat exposure. Previous studies have demonstrated altered activity in localised subcortical clusters for thermal sensation and regulation, as well as cortical-cortical activity for behavioural tasks during hyperthermia. However, the involvement of cortical-subcortical activity during hyperthermia has not been investigated. In this study, we performed exploratory analyses comparing thalamocortical functional connectivity during whole body hyperthermic condition for an hour at 50 °C and normothermic condition at 25 °C. We found weakened functional connectivity of cortical fronto-polar/anterior cingulate cortex and prefrontal areas with the corresponding thalamic nuclei during hyperthermic versus normothermic comparisons. On the contrary, the motor/premotor, somatosensory and temporal cortical subdivisions showed increased connectivity with thalamic nuclei during hyperthermia. Thalamocortical connectivity changes in the prefrontal were identified to be correlated with the behavioural reaction time during psychomotor vigilance test after controlling for physiological variables. These distinct thalamocortical pathway alterations might reflect physiologically thermal sensation and regulation, as well as psychologically neural behaviour changes underlying cortical-subcortical activity during hyperthermia.
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Affiliation(s)
- Jing Zhang
- a Institute of Biomedical Sciences , School of Physics and Electronics, Shandong Normal University , Jinan , Shandong , People's Republic of China.,b Department of Radiation Oncology , Shandong Cancer Hospital and Institute , Jinan , Shandong , People's Republic of China.,c Shandong Province Key Laboratory of Medical Physics and Image Processing Technology , Jinan , Shandong , People's Republic of China
| | - Shaowen Qian
- d Department of Medical Imaging , Jinan Military General Hospital , Jinan , Shandong , People's Republic of China
| | - Qingjun Jiang
- d Department of Medical Imaging , Jinan Military General Hospital , Jinan , Shandong , People's Republic of China
| | - Guanzhong Gong
- b Department of Radiation Oncology , Shandong Cancer Hospital and Institute , Jinan , Shandong , People's Republic of China
| | - Kai Liu
- d Department of Medical Imaging , Jinan Military General Hospital , Jinan , Shandong , People's Republic of China
| | - Bo Li
- d Department of Medical Imaging , Jinan Military General Hospital , Jinan , Shandong , People's Republic of China
| | - Yong Yin
- b Department of Radiation Oncology , Shandong Cancer Hospital and Institute , Jinan , Shandong , People's Republic of China
| | - Gang Sun
- d Department of Medical Imaging , Jinan Military General Hospital , Jinan , Shandong , People's Republic of China
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43
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Abstract
Mature moral judgments rely both on a perpetrator’s intent to cause harm, and also on the actual harm caused–even when unintended. Much prior research asks how intent information is represented neurally, but little asks how even unintended harms influence judgment. We interrogate the psychological and neural basis of this process, focusing especially on the role of empathy for the victim of a harmful act. Using fMRI, we found that the ‘empathy for pain’ network was involved in encoding harmful outcomes and integrating harmfulness information for different types of moral judgments, and individual differences in the extent to which this network was active during encoding and integration of harmfulness information determined severity of moral judgments. Additionally, activity in the network was down-regulated for acceptability, but not blame, judgments for accidental harm condition, suggesting that these two types of moral evaluations are neurobiologically dissociable. These results support a model of “empathic blame”, whereby the perceived suffering of a victim colors moral judgment of an accidental harmdoer.
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44
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Yuan K, Yu D, Bi Y, Wang R, Li M, Zhang Y, Dong M, Zhai J, Li Y, Lu X, Tian J. The left dorsolateral prefrontal cortex and caudate pathway: New evidence for cue-induced craving of smokers. Hum Brain Mapp 2017; 38:4644-4656. [PMID: 28653791 DOI: 10.1002/hbm.23690] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2017] [Revised: 06/05/2017] [Accepted: 06/09/2017] [Indexed: 01/17/2023] Open
Abstract
Although the activation of the prefrontal cortex (PFC) and the striatum had been found in smoking cue induced craving task, whether and how the functional interactions and white matter integrity between these brain regions contribute to craving processing during smoking cue exposure remains unknown. Twenty-five young male smokers and 26 age- and gender-matched nonsmokers participated in the smoking cue-reactivity task. Craving related brain activation was extracted and psychophysiological interactions (PPI) analysis was used to specify the PFC-efferent pathways contributed to smoking cue-induced craving. Diffusion tensor imaging (DTI) and probabilistic tractography was used to explore whether the fiber connectivity strength facilitated functional coupling of the circuit with the smoking cue-induced craving. The PPI analysis revealed the negative functional coupling of the left dorsolateral prefrontal cortex (DLPFC) and the caudate during smoking cue induced craving task, which positively correlated with the craving score. Neither significant activation nor functional connectivity in smoking cue exposure task was detected in nonsmokers. DTI analyses revealed that fiber tract integrity negatively correlated with functional coupling in the DLPFC-caudate pathway and activation of the caudate induced by smoking cue in smokers. Moreover, the relationship between the fiber connectivity integrity of the left DLPFC-caudate and smoking cue induced caudate activation can be fully mediated by functional coupling strength of this circuit in smokers. The present study highlighted the left DLPFC-caudate pathway in smoking cue-induced craving in smokers, which may reflect top-down prefrontal modulation of striatal reward processing in smoking cue induced craving processing. Hum Brain Mapp 38:4644-4656, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Kai Yuan
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education.,School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Dahua Yu
- School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yanzhi Bi
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Ruonan Wang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Min Li
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Yajuan Zhang
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Minghao Dong
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education
| | - Jinquan Zhai
- Department of Medical Imaging, The First Affiliated Hospital of Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Yangding Li
- Guangxi Key Laboratory of Multi-Source Information Mining and Security, Guangxi Normal University, Guilin, People's Republic of China
| | - Xiaoqi Lu
- School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia, 014010, People's Republic of China
| | - Jie Tian
- School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710071, People's Republic of China.,Engineering Research Center of Molecular and Neuro Imaging Ministry of Education.,Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, People's Republic of China
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45
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Tottenham N, Gabard-Durnam LJ. The developing amygdala: a student of the world and a teacher of the cortex. Curr Opin Psychol 2017; 17:55-60. [PMID: 28950973 DOI: 10.1016/j.copsyc.2017.06.012] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 06/05/2017] [Indexed: 12/27/2022]
Abstract
Amygdala and prefrontal cortex (PFC) function subserving emotional behavior has largely been examined from the perspective of their adult roles, with a tremendous focus on the regulatory influence of the PFC over amygdala activity. Here we consider the circuit's function in its developmental context, when maximal learning about emotion and incentives from the environment is necessary. We argue that during development the amygdala exhibits an overwhelming influence over the developmental destiny of circuitry function, and the amygdala's learning and experiential history are conveyed to the cortex to modulate subsequent PFC development. We present recent findings on the different developmental trajectories of the amygdala and PFC, their functional connectivity, and the timing of environmental influences as evidence supporting our position.
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Affiliation(s)
- Nim Tottenham
- Columbia University, Department of Psychology, 1190 Amsterdam Avenue, New York, NY 10027, USA.
| | - Laurel J Gabard-Durnam
- Harvard University/Boston Children's Hospital, Division of Developmental Medicine, 300 Longwood Ave, Boston, MA 02115, USA
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46
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Alcalá-López D, Smallwood J, Jefferies E, Van Overwalle F, Vogeley K, Mars RB, Turetsky BI, Laird AR, Fox PT, Eickhoff SB, Bzdok D. Computing the Social Brain Connectome Across Systems and States. Cereb Cortex 2017; 28:2207-2232. [DOI: 10.1093/cercor/bhx121] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 04/27/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Daniel Alcalá-López
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Jonathan Smallwood
- Department of Psychology, York Neuroimaging Centre, University of York, Hesslington, York, UK
| | - Elizabeth Jefferies
- Department of Psychology, York Neuroimaging Centre, University of York, Hesslington, York, UK
| | | | - Kai Vogeley
- Department of Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - Rogier B Mars
- Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EZ Nijmegen, The Netherlands
| | - Bruce I Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Simon B Eickhoff
- Medical Faculty, Institute for Systems Neuroscience, Heinrich-Heine University, Düsseldorf, Germany
- Institute for Neuroscience and Medicine (INM-7, Brain & Behavior), Research Center Jülich, Jülich, Germany
| | - Danilo Bzdok
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Parietal Team, INRIA, Neurospin, bat 145, CEA Saclay, Gif-sur-Yvette, France
- JARA, Translational Brain Medicine, Aachen, Germany
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47
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Dynamic Changes in Amygdala Psychophysiological Connectivity Reveal Distinct Neural Networks for Facial Expressions of Basic Emotions. Sci Rep 2017; 7:45260. [PMID: 28345642 PMCID: PMC5366904 DOI: 10.1038/srep45260] [Citation(s) in RCA: 105] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 02/23/2017] [Indexed: 12/12/2022] Open
Abstract
The quest to characterize the neural signature distinctive of different basic emotions has recently come under renewed scrutiny. Here we investigated whether facial expressions of different basic emotions modulate the functional connectivity of the amygdala with the rest of the brain. To this end, we presented seventeen healthy participants (8 females) with facial expressions of anger, disgust, fear, happiness, sadness and emotional neutrality and analyzed amygdala's psychophysiological interaction (PPI). In fact, PPI can reveal how inter-regional amygdala communications change dynamically depending on perception of various emotional expressions to recruit different brain networks, compared to the functional interactions it entertains during perception of neutral expressions. We found that for each emotion the amygdala recruited a distinctive and spatially distributed set of structures to interact with. These changes in amygdala connectional patters characterize the dynamic signature prototypical of individual emotion processing, and seemingly represent a neural mechanism that serves to implement the distinctive influence that each emotion exerts on perceptual, cognitive, and motor responses. Besides these differences, all emotions enhanced amygdala functional integration with premotor cortices compared to neutral faces. The present findings thus concur to reconceptualise the structure-function relation between brain-emotion from the traditional one-to-one mapping toward a network-based and dynamic perspective.
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48
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Cho C, Smith DV, Delgado MR. Reward Sensitivity Enhances Ventrolateral Prefrontal Cortex Activation during Free Choice. Front Neurosci 2016; 10:529. [PMID: 27917106 PMCID: PMC5114280 DOI: 10.3389/fnins.2016.00529] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Accepted: 10/31/2016] [Indexed: 01/28/2023] Open
Abstract
Expressing one's preference via choice can be rewarding, particularly when decisions are voluntarily made as opposed to being forced. An open question is whether engaging in choices involving rewards recruits distinct neural systems as a function of sensitivity to reward. Reward sensitivity is a trait partly influenced by the mesolimbic dopamine system, which can impact an individual's neural and behavioral response to reward cues. Here, we investigated how reward sensitivity contributes to neural activity associated with free and forced choices. Participants underwent a simple decision-making task, which presented free- or forced-choice trials in the scanner. Each trial presented two cues (i.e., points or information) that led to monetary reward at the end of the task. In free-choice trials, participants were offered the opportunity to choose between different reward cues (e.g., points vs. information), whereas forced-choice trials forced individuals to choose within a given reward cue (e.g., information vs. information, or points vs. points). We found enhanced ventrolateral prefrontal cortex (VLPFC) activation during free choice compared to forced choice in individuals with high reward sensitivity scores. Next, using the VLPFC as a seed, we conducted a PPI analysis to identify brain regions that enhance connectivity with the VLPFC during free choice. Our PPI analyses on free vs. forced choice revealed increased VLPFC connectivity with the posterior cingulate and precentral gyrus in reward sensitive individuals. These findings suggest reward sensitivity may recruit attentional control processes during free choice potentially supporting goal-directed behavior and action selection.
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Affiliation(s)
- Catherine Cho
- Department of Psychology, Rutgers University Newark, NJ, USA
| | - David V Smith
- Department of Psychology, Temple University Philadelphia, PA, USA
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49
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Zhao J, Liu J, Jiang X, Zhou G, Chen G, Ding XP, Fu G, Lee K. Linking Resting-State Networks in the Prefrontal Cortex to Executive Function: A Functional Near Infrared Spectroscopy Study. Front Neurosci 2016; 10:452. [PMID: 27774047 PMCID: PMC5054000 DOI: 10.3389/fnins.2016.00452] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2016] [Accepted: 09/20/2016] [Indexed: 12/05/2022] Open
Abstract
Executive function (EF) plays vital roles in our everyday adaptation to the ever-changing environment. However, limited existing studies have linked EF to the resting-state brain activity. The functional connectivity in the resting state between the sub-regions of the brain can reveal the intrinsic neural mechanisms involved in cognitive processing of EF without disturbance from external stimuli. The present study investigated the relations between the behavioral executive function (EF) scores and the resting-state functional network topological properties in the Prefrontal Cortex (PFC). We constructed complex brain functional networks in the PFC from 90 healthy young adults using functional near infrared spectroscopy (fNIRS). We calculated the correlations between the typical network topological properties (regional topological properties and global topological properties) and the scores of both the Total EF and components of EF measured by computer-based Cambridge Neuropsychological Test Automated Battery (CANTAB). We found that the Total EF scores were positively correlated with regional properties in the right dorsal superior frontal gyrus (SFG), whereas the opposite pattern was found in the right triangular inferior frontal gyrus (IFG). Different EF components were related to different regional properties in various PFC areas, such as planning in the right middle frontal gyrus (MFG), working memory mainly in the right MFG and triangular IFG, short-term memory in the left dorsal SFG, and task switch in the right MFG. In contrast, there were no significant findings for global topological properties. Our findings suggested that the PFC plays an important role in individuals' behavioral performance in the executive function tasks. Further, the resting-state functional network can reveal the intrinsic neural mechanisms involved in behavioral EF abilities.
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Affiliation(s)
- Jia Zhao
- School of Computer and Information Technology, Beijing Jiaotong University Beijing, China
| | - Jiangang Liu
- School of Computer and Information Technology, Beijing Jiaotong UniversityBeijing, China; Department of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada
| | - Xin Jiang
- Department of Computer Science, University College London London, UK
| | - Guifei Zhou
- School of Computer and Information Technology, Beijing Jiaotong University Beijing, China
| | - Guowei Chen
- Department of Psychology, Hangzhou Normal UniversityHangzhou, China; Department of Psychology, Zhejiang Normal UniversityJinhua, China
| | - Xiao P Ding
- Department of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada; Department of Psychology, National University of SingaporeSingapore, Singapore
| | - Genyue Fu
- Department of Psychology, Hangzhou Normal UniversityHangzhou, China; Department of Psychology, Zhejiang Normal UniversityJinhua, China
| | - Kang Lee
- Department of Applied Psychology and Human Development, Dr. Eric Jackman Institute of Child Study, University of TorontoToronto, ON, Canada; Department of Psychology, Zhejiang Normal UniversityJinhua, China
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50
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Smith DV, Delgado MR. Meta-analysis of psychophysiological interactions: Revisiting cluster-level thresholding and sample sizes. Hum Brain Mapp 2016; 38:588-591. [PMID: 27543687 DOI: 10.1002/hbm.23354] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 08/09/2016] [Indexed: 01/26/2023] Open
Abstract
Within the neuroimaging community, coordinate based meta-analyses (CBMAs) are essential for aggregating findings across studies and testing whether those studies report similar anatomical locations. This approach has been predominantly applied to studies that focus on whether activation of a brain region is associated with a given psychological process. In a recent paper, we used CBMA to examine a distinct set of studies-that is, those focusing on whether connectivity between brain regions is modulated by a given psychological process (Smith et al. [2016]: Hum Brain Mapp 37:2904-2917). Specifically, we reviewed 284 studies examining brain connectivity with psychophysiological interactions (PPI). Our meta-analytic results indicated that PPI yields connectivity patterns that are consistent across studies and that can be specific for a given psychological process and seed region. After publication of our findings, we learned that the analysis software we used to conduct our CBMAs (GingerALE v2.3.3) contained an implementation error that led to results that were more liberal than intended. Here, we comment on the impact of this implementation error on the results of our paper, new recommendations for sample sizes in CBMAs, and the importance of communication between software users and developers. We show that our key claims are supported in a reanalysis and that our results are robust to new guidelines on sample sizes. Hum Brain Mapp 38:588-591, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- David V Smith
- Department of Psychology, Temple University, Philadelphia, Pennsylvania, 19122
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