1
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Knyazev GG, Savostyanov AN, Bocharov AV, Rudych PD, Saprigyn AE. Multivariate pattern analysis of cooperation and competition in constructive action. Neuropsychologia 2024; 202:108956. [PMID: 39002772 DOI: 10.1016/j.neuropsychologia.2024.108956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 06/22/2024] [Accepted: 07/10/2024] [Indexed: 07/15/2024]
Abstract
The neural underpinning of cooperative and competitive constructive activity has been investigated using mass-univariate approaches. In this study, we sought to compare the results of these approaches with the results of multivariate pattern analysis (MVPA). In particular, we wanted to test whether MVPA supports the claim made in previous studies that cooperation is associated with the activity of reward-related brain circuits. Participants were required to construct a pattern on the screen either individually or in cooperation or competition with another person during an fMRI scan. Both the MVPA classification methods and the representational similarity analysis indicated the involvement of orbitofrontal and ventromedial prefrontal areas in processes that distinguish between cooperation and competition, and activation analysis showed that these areas are more active during cooperation than during competition. However, a single trial analysis showed that the effect was reversed when only winning trials were considered. In these trials, activation of reward-related areas was higher during competition than during cooperation. Moreover, the contrast between won and lost trials in terms of reward circuits involvement was sharper under competition than under cooperation. Thus, although cooperation can be generally more rewarding than competition, it is associated with smaller difference between trials lost and trials won in terms of reward circuits activation. One may speculate that in cooperation, victory and defeat are shared with the partner and, contrary to competition, are not experienced as personal achievement or failure.
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Affiliation(s)
- G G Knyazev
- Institute of Neurosciences and Medicine, Novosibirsk, Russia.
| | - A N Savostyanov
- Institute of Neurosciences and Medicine, Novosibirsk, Russia; Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | - A V Bocharov
- Institute of Neurosciences and Medicine, Novosibirsk, Russia
| | - P D Rudych
- Institute of Neurosciences and Medicine, Novosibirsk, Russia
| | - A E Saprigyn
- Institute of Neurosciences and Medicine, Novosibirsk, Russia
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2
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Giraud M, Zapparoli L, Basso G, Petilli M, Paulesu E, Nava E. Mapping the emotional homunculus with fMRI. iScience 2024; 27:109985. [PMID: 38868180 PMCID: PMC11167434 DOI: 10.1016/j.isci.2024.109985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/02/2023] [Accepted: 05/13/2024] [Indexed: 06/14/2024] Open
Abstract
Emotions are commonly associated with bodily sensations, e.g., boiling with anger when overwhelmed with rage. Studies have shown that emotions are related to specific body parts, suggesting that somatotopically organized cortical regions that commonly respond to somatosensory and motor experiences might be involved in the generation of emotions. We used functional magnetic resonance imaging to investigate whether the subjective feelings of emotion are accompanied by the activation of somatotopically defined sensorimotor brain regions, thus aiming to reconstruct an "emotional homunculus." By defining the convergence of the brain activation patterns evoked by self-generated emotions during scanning onto a sensorimotor map created on participants' tactile and motor brain activity, we showed that all the evoked emotions activated parts of this sensorimotor map, yet with considerable overlap among different emotions. Although we could not find a highly specific segmentation of discrete emotions over sensorimotor regions, our results support an embodied experience of emotions.
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Affiliation(s)
- Michelle Giraud
- Department of Psychology, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
- Psychology Department and NeuroMi, Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Laura Zapparoli
- Psychology Department and NeuroMi, Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
- fMRI Unit, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy
| | - Gianpaolo Basso
- School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milano, Italy
| | - Marco Petilli
- Department of Psychology, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
| | - Eraldo Paulesu
- Psychology Department and NeuroMi, Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
| | - Elena Nava
- Department of Psychology, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
- Psychology Department and NeuroMi, Milan Centre for Neuroscience, University of Milano-Bicocca, Milan, Italy
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3
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Morales-Torres R, Wing EA, Deng L, Davis SW, Cabeza R. Visual Recognition Memory of Scenes Is Driven by Categorical, Not Sensory, Visual Representations. J Neurosci 2024; 44:e1479232024. [PMID: 38569925 PMCID: PMC11112637 DOI: 10.1523/jneurosci.1479-23.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 02/07/2024] [Accepted: 02/14/2024] [Indexed: 04/05/2024] Open
Abstract
When we perceive a scene, our brain processes various types of visual information simultaneously, ranging from sensory features, such as line orientations and colors, to categorical features, such as objects and their arrangements. Whereas the role of sensory and categorical visual representations in predicting subsequent memory has been studied using isolated objects, their impact on memory for complex scenes remains largely unknown. To address this gap, we conducted an fMRI study in which female and male participants encoded pictures of familiar scenes (e.g., an airport picture) and later recalled them, while rating the vividness of their visual recall. Outside the scanner, participants had to distinguish each seen scene from three similar lures (e.g., three airport pictures). We modeled the sensory and categorical visual features of multiple scenes using both early and late layers of a deep convolutional neural network. Then, we applied representational similarity analysis to determine which brain regions represented stimuli in accordance with the sensory and categorical models. We found that categorical, but not sensory, representations predicted subsequent memory. In line with the previous result, only for the categorical model, the average recognition performance of each scene exhibited a positive correlation with the average visual dissimilarity between the item in question and its respective lures. These results strongly suggest that even in memory tests that ostensibly rely solely on visual cues (such as forced-choice visual recognition with similar distractors), memory decisions for scenes may be primarily influenced by categorical rather than sensory representations.
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Affiliation(s)
| | - Erik A Wing
- Rotman Research Institute, Baycrest Health Sciences, Toronto, Ontario M6A 2E1, Canada
| | - Lifu Deng
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina 27708
| | - Simon W Davis
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina 27708
- Department of Neurology, Duke University School of Medicine, Durham, North Carolina 27708
| | - Roberto Cabeza
- Department of Psychology & Neuroscience, Duke University, Durham, North Carolina 27708
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4
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Faghel-Soubeyrand S, Richoz AR, Waeber D, Woodhams J, Caldara R, Gosselin F, Charest I. Neural computations in prosopagnosia. Cereb Cortex 2024; 34:bhae211. [PMID: 38795358 PMCID: PMC11127037 DOI: 10.1093/cercor/bhae211] [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: 12/27/2022] [Revised: 04/30/2024] [Accepted: 05/03/2024] [Indexed: 05/27/2024] Open
Abstract
We report an investigation of the neural processes involved in the processing of faces and objects of brain-lesioned patient PS, a well-documented case of pure acquired prosopagnosia. We gathered a substantial dataset of high-density electrophysiological recordings from both PS and neurotypicals. Using representational similarity analysis, we produced time-resolved brain representations in a format that facilitates direct comparisons across time points, different individuals, and computational models. To understand how the lesions in PS's ventral stream affect the temporal evolution of her brain representations, we computed the temporal generalization of her brain representations. We uncovered that PS's early brain representations exhibit an unusual similarity to later representations, implying an excessive generalization of early visual patterns. To reveal the underlying computational deficits, we correlated PS' brain representations with those of deep neural networks (DNN). We found that the computations underlying PS' brain activity bore a closer resemblance to early layers of a visual DNN than those of controls. However, the brain representations in neurotypicals became more akin to those of the later layers of the model compared to PS. We confirmed PS's deficits in high-level brain representations by demonstrating that her brain representations exhibited less similarity with those of a DNN of semantics.
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Affiliation(s)
- Simon Faghel-Soubeyrand
- Département de psychologie, Université de Montréal, 90 av. Vincent D’indy, Montreal, H2V 2S9, Canada
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Rd, Oxford OX2 6GG
| | - Anne-Raphaelle Richoz
- Département de psychologie, Université de Fribourg, RM 01 bu. C-3.117Rue P.A. de Faucigny 21700 Fribourg, Switzerland
| | - Delphine Waeber
- Département de psychologie, Université de Fribourg, RM 01 bu. C-3.117Rue P.A. de Faucigny 21700 Fribourg, Switzerland
| | - Jessica Woodhams
- School of Psychology, University of Birmingham, Hills Building, Edgbaston Park Rd, Birmingham B15 2TT, UK
| | - Roberto Caldara
- Département de psychologie, Université de Fribourg, RM 01 bu. C-3.117Rue P.A. de Faucigny 21700 Fribourg, Switzerland
| | - Frédéric Gosselin
- Département de psychologie, Université de Montréal, 90 av. Vincent D’indy, Montreal, H2V 2S9, Canada
| | - Ian Charest
- Département de psychologie, Université de Montréal, 90 av. Vincent D’indy, Montreal, H2V 2S9, Canada
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5
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Liu J, Hu X, Shen X, Song S, Zhang D. Electrophysiological representations of multivariate human emotion experience. Cogn Emot 2024; 38:378-388. [PMID: 38147431 DOI: 10.1080/02699931.2023.2297272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/14/2023] [Indexed: 12/28/2023]
Abstract
ABSTRACTDespite the fact that human daily emotions are co-occurring by nature, most neuroscience studies have primarily adopted a univariate approach to identify the neural representation of emotion (emotion experience within a single emotion category) without adequate consideration of the co-occurrence of different emotions (emotion experience across different emotion categories simultaneously). To investigate the neural representations of multivariate emotion experience, this study employed the inter-situation representational similarity analysis (RSA) method. Researchers used an EEG dataset of 78 participants who watched 28 video clips and rated their experience on eight emotion categories. The EEG-based electrophysiological representation was extracted as the power spectral density (PSD) feature per channel in the five frequency bands. The inter-situation RSA method revealed significant correlations between the multivariate emotion experience ratings and PSD features in the Alpha and Beta bands, primarily over the frontal and parietal-occipital brain regions. The study found the identified EEG representations to be reliable with sufficient situations and participants. Moreover, through a series of ablation analyses, the inter-situation RSA further demonstrated the stability and specificity of the EEG representations for multivariate emotion experience. These findings highlight the importance of adopting a multivariate perspective for a comprehensive understanding of the neural representation of human emotion experience.
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Affiliation(s)
- Jin Liu
- Department of Biomedical Engineering, Tsinghua University, Beijing, China
- Tsinghua Laboratory of Brain and Intelligence, Beijing, China
| | - Xin Hu
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, USA
| | - Xinke Shen
- Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, China
| | - Sen Song
- Department of Biomedical Engineering, Tsinghua University, Beijing, China
- Tsinghua Laboratory of Brain and Intelligence, Beijing, China
| | - Dan Zhang
- Tsinghua Laboratory of Brain and Intelligence, Beijing, China
- Department of Psychology, Tsinghua University, Beijing, People's Republic of China
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6
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Park Y, Zhang Y, Schwartz F, Iuculano T, Chang H, Menon V. Integrated number sense tutoring remediates aberrant neural representations in children with mathematical disabilities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.09.587577. [PMID: 38645139 PMCID: PMC11030345 DOI: 10.1101/2024.04.09.587577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Number sense is essential for early mathematical development but it is compromised in children with mathematical disabilities (MD). Here we investigate the impact of a personalized 4-week Integrated Number Sense (INS) tutoring program aimed at improving the connection between nonsymbolic (sets of objects) and symbolic (Arabic numerals) representations in children with MD. Utilizing neural pattern analysis, we found that INS tutoring not only improved cross-format mapping but also significantly boosted arithmetic fluency in children with MD. Critically, the tutoring normalized previously low levels of cross-format neural representations in these children to pre-tutoring levels observed in typically developing, especially in key brain regions associated with numerical cognition. Moreover, we identified distinct, 'inverted U-shaped' neurodevelopmental changes in the MD group, suggesting unique neural plasticity during mathematical skill development. Our findings highlight the effectiveness of targeted INS tutoring for remediating numerical deficits in MD, and offer a foundation for developing evidence-based educational interventions.
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Affiliation(s)
- Yunji Park
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Yuan Zhang
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Flora Schwartz
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Teresa Iuculano
- Centre National de la Recherche Scientifique & Université Paris Sorbonne, Paris 75016, France
| | - Hyesang Chang
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, 94305
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305
- Stanford Neuroscience Institute, Stanford University, Stanford, California, CA, 94305
- Symbolic Systems Program, Stanford University, Stanford, California, CA, 94305
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7
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Tamman AJF, Abdallah CG, Dunsmoor JE, Cisler JM. Neural differentiation of emotional faces as a function of interpersonal violence among adolescent girls. J Psychiatr Res 2024; 172:90-101. [PMID: 38368703 DOI: 10.1016/j.jpsychires.2024.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 01/29/2024] [Accepted: 02/02/2024] [Indexed: 02/20/2024]
Abstract
Interpersonal violence (IV) is associated with altered neural threat processing and risk for psychiatric disorder. Representational similarity analysis (RSA) is a multivariate approach examining the extent to which differences between stimuli correspond to differences in multivoxel activation patterns to these stimuli within each ROI. Using RSA, we examine overlap in neural patterns between threat and neutral faces in youth with IV. Participants were female adolescents aged 11-17 who had a history of IV exposure (n = 77) or no history of IV, psychiatric diagnoses, nor psychiatric medications (n = 37). Participants completed a facial emotion processing task during fMRI. Linear mixed models indicated that increasing hippocampal differentiation of fear and neutral faces was associated with increasing IV severity. Increased neural differentiation of these facial stimuli in the left and right hippocampus was associated with increasing physical abuse severity. Increased differentiation by the dACC correlated with increasing physical assault severity. RSA for most ROIs were not significantly associated with univariate activity, except for a positive association between amygdala RSA and activity to fear faces. Differences in statistically significant ROIs for physical assault and physical abuse may highlight distinct effects of trauma type on encoding of threat vs. neutral faces. Null associations between RSA and univariate activation in most ROIs suggest unique contributions of RSA for understanding IV compared to traditional activation. Implications include understanding mechanisms of risk in IV and trauma-specific treatment selection. Future work should replicate these findings in longitudinal studies and identify sensitive periods for neural alterations in RSA.
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Affiliation(s)
- Amanda J F Tamman
- Baylor College of Medicine, Menninger Department of Psychiatry and Behavioral Sciences, Houston, TX 77030, USA.
| | - Chadi G Abdallah
- Baylor College of Medicine, Menninger Department of Psychiatry and Behavioral Sciences, Houston, TX 77030, USA; Yale School of Medicine, New Haven, CT 06510, USA; Michael E. DeBakey VA Medical Center, Houston, TX 77030, USA; US Department of Veterans Affairs, National Center for PTSD - Clinical Neurosciences Division, VA Connecticut, West Haven, CT 06516, USA; Core for Advanced Magnetic Resonance Imaging (CAMRI), Baylor College of Medicine, Houston, TX 77030, USA
| | - Joseph E Dunsmoor
- Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712, USA; Center for Learning and Memory, Department of Neuroscience, University of Texas at Austin, Austin, TX 78712, USA; Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA
| | - Josh M Cisler
- Institute for Neuroscience, University of Texas at Austin, Austin, TX 78712, USA; Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA; Institute for Early Life Adversity Research, The University of Texas at Austin, Dell Medical School, Department of Psychiatry and Behavioral Sciences, Austin, TX 78712, USA
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8
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Nanni-Zepeda M, DeGutis J, Wu C, Rothlein D, Fan Y, Grimm S, Walter M, Esterman M, Zuberer A. Neural signatures of shared subjective affective engagement and disengagement during movie viewing. Hum Brain Mapp 2024; 45:e26622. [PMID: 38488450 DOI: 10.1002/hbm.26622] [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: 05/17/2023] [Revised: 01/10/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024] Open
Abstract
When watching a negative emotional movie, we differ from person to person in the ease with which we engage and the difficulty with which we disengage throughout a temporally evolving narrative. We investigated neural responses of emotional processing, by considering inter-individual synchronization in subjective emotional engagement and disengagement. The neural underpinnings of these shared responses are ideally studied in naturalistic scenarios like movie viewing, wherein individuals emotionally engage and disengage at their own time and pace throughout the course of a narrative. Despite the rich data that naturalistic designs can bring to the study, there is a challenge in determining time-resolved behavioral markers of subjective engagement and disengagement and their underlying neural responses. We used a within-subject cross-over design instructing 22 subjects to watch clips of either neutral or sad content while undergoing functional magnetic resonance imaging (fMRI). Participants watched the same movies a second time while continuously annotating the perceived emotional intensity, thus enabling the mapping of brain activity and emotional experience. Our analyses revealed that between-participant similarity in waxing (engagement) and waning (disengagement) of emotional intensity was directly related to the between-participant similarity in spatiotemporal patterns of brain activation during the movie(s). Similar patterns of engagement reflected common activation in the bilateral ventromedial prefrontal cortex, regions often involved in self-referenced evaluation and generation of negative emotions. Similar patterns of disengagement reflected common activation in central executive and default mode network regions often involved in top-down emotion regulation. Together this work helps to better understand cognitive and neural mechanisms underpinning engagement and disengagement from emotionally evocative narratives.
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Affiliation(s)
- Melanni Nanni-Zepeda
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
| | - Joseph DeGutis
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Charley Wu
- Human and Machine Cognition Lab, University of Tübingen, Tübingen, Germany
| | - David Rothlein
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Yan Fan
- Department Psychology and Neurosciences, Leibniz Research Centre for Working Environment and Human Factors at the TU Dortmund (IfADo), Dortmund, Germany
| | - Simone Grimm
- Berlin Institute of Health, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
- Department of Psychology, MSB Medical School Berlin, Berlin, Germany
| | - Martin Walter
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
- Clinical Affective Neuroimaging Laboratory, Otto-von-Guericke-University, Magdeburg, Germany
- Department of Behavioral Neurology, Leibniz Institute for Neurobiology, Magdeburg, Germany
| | - Michael Esterman
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts, USA
- National Center for PTSD, VA Boston Healthcare System, Boston, Massachusetts, USA
| | - Agnieszka Zuberer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
- Boston Attention and Learning Laboratory, VA Boston Healthcare System, Boston, Massachusetts, USA
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9
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Skalaban LJ, Chan I, Rapuano KM, Lin Q, Conley MI, Watts RR, Busch EL, Murty VP, Casey BJ. Representational Dissimilarity of Faces and Places during a Working Memory Task is Associated with Subsequent Recognition Memory during Development. J Cogn Neurosci 2024; 36:415-434. [PMID: 38060253 DOI: 10.1162/jocn_a_02094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Nearly 50 years of research has focused on faces as a special visual category, especially during development. Yet it remains unclear how spatial patterns of neural similarity of faces and places relate to how information processing supports subsequent recognition of items from these categories. The current study uses representational similarity analysis and functional imaging data from 9- and 10-year-old youth during an emotional n-back task from the Adolescent Brain and Cognitive Development Study 3.0 data release to relate spatial patterns of neural similarity during working memory to subsequent out-of-scanner performance on a recognition memory task. Specifically, we examine how similarities in representations within face categories (neutral, happy, and fearful faces) and representations between visual categories (faces and places) relate to subsequent recognition memory of these visual categories. Although working memory performance was higher for faces than places, subsequent recognition memory was greater for places than faces. Representational similarity analysis revealed category-specific patterns in face-and place-sensitive brain regions (fusiform gyrus, parahippocampal gyrus) compared with a nonsensitive visual region (pericalcarine cortex). Similarity within face categories and dissimilarity between face and place categories in the parahippocampus was related to better recognition of places from the n-back task. Conversely, in the fusiform, similarity within face categories and their relative dissimilarity from places was associated with better recognition of new faces, but not old faces. These findings highlight how the representational distinctiveness of visual categories influence what information is subsequently prioritized in recognition memory during development.
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Affiliation(s)
- Lena J Skalaban
- Yale University, New Haven, CT
- Temple University, Philadelphia, PA
| | | | | | - Qi Lin
- Yale University, New Haven, CT
| | | | | | | | | | - B J Casey
- Yale University, New Haven, CT
- Barnard College, Columbia University, New York, NY
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10
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Smith DV, Ludwig RM, Dennison JB, Reeck C, Fareri DS. An fMRI Dataset on Social Reward Processing and Decision Making in Younger and Older Adults. Sci Data 2024; 11:158. [PMID: 38302470 PMCID: PMC10834522 DOI: 10.1038/s41597-024-02931-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024] Open
Abstract
Behavioural and neuroimaging research has shown that older adults are less sensitive to financial losses compared to younger adults. Yet relatively less is known about age-related differences in social decisions and social reward processing. As part of a pilot study, we collected behavioural and functional magnetic resonance imaging (fMRI) data from 50 participants (Younger: N = 26, ages 18-34 years; Older: N = 24, ages 63-80 years) who completed three tasks in the scanner: an economic trust game as the investor with three partners (computer, stranger, friend) as the investee; a card-guessing task with monetary gains and losses shared with three partners (computer, stranger, friend); and an ultimatum game as responder to three anonymous proposers (computer, age-similar adults, age-dissimilar adults). We also collected B0 field maps and high-resolution structural images (T1-weighted and T2-weighted images). These data could be reused to answer questions about moment-to-moment variability in fMRI signal, representational similarity between tasks, and brain structure.
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Affiliation(s)
| | - Rita M Ludwig
- Temple University, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
| | - Jeffrey B Dennison
- Temple University, Philadelphia, PA, USA
- University of Pennsylvania, Philadelphia, PA, USA
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11
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Knyazev GG, Savostyanov AN, Bocharov AV, Saprigyn AE. Representational similarity analysis of self- versus other-processing: Effect of trait aggressiveness. Aggress Behav 2024; 50:e22125. [PMID: 38268387 DOI: 10.1002/ab.22125] [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] [Revised: 10/27/2023] [Accepted: 11/06/2023] [Indexed: 01/26/2024]
Abstract
In this study, using the self/other adjective judgment task, we aimed to explore how people perceive themselves in comparison to various other people, including friends, strangers, and those they dislike. Next, using representational similarity analysis, we sought to elucidate how these perceptual similarities and differences are represented in brain activity and how aggressiveness is related to these representations. Behavioral ratings show that, on average, people tend to consider themselves more like their friends than neutral strangers, and least like people they dislike. This pattern of similarity is positively correlated with neural representation in social and cognitive circuits of the brain and negatively correlated with neural representation in emotional centers that may represent emotional arousal associated with various social objects. Aggressiveness seems to predispose a person to a pattern of behavior that is the opposite of the average pattern, that is, a tendency to think of oneself as less like one's friends and more like one's enemies. This corresponds to an increase in the similarity of the behavioral representation with the representation in the emotional centers and a decrease in its similarity with the representation in the social and cognitive centers. This can be seen as evidence that in individuals prone to aggression, behavior in the social environment may depend to a greater extent on the representation of social objects in the emotional rather than social and cognitive brain circuits.
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Affiliation(s)
- Gennady G Knyazev
- Laboratory of Differential Psychophysiology, Institute of Neurosciences and Medicine, Novosibirsk, Russia
| | - Alexander N Savostyanov
- Laboratory of Differential Psychophysiology, Institute of Neurosciences and Medicine, Novosibirsk, Russia
- Laboratory of Psychological Genetics, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia
| | - Andrey V Bocharov
- Laboratory of Differential Psychophysiology, Institute of Neurosciences and Medicine, Novosibirsk, Russia
| | - Alexander E Saprigyn
- Laboratory of Differential Psychophysiology, Institute of Neurosciences and Medicine, Novosibirsk, Russia
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12
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Guekos A, Cole DM, Dörig M, Stämpfli P, Schibli L, Schuetz P, Schweinhardt P, Meier ML. BackWards - Unveiling the brain's topographic organization of paraspinal sensory input. Neuroimage 2023; 283:120431. [PMID: 37914091 DOI: 10.1016/j.neuroimage.2023.120431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/24/2023] [Accepted: 10/27/2023] [Indexed: 11/03/2023] Open
Abstract
Cortical reorganization and its potential pathological significance are being increasingly studied in musculoskeletal disorders such as chronic low back pain (CLBP) patients. However, detailed sensory-topographic maps of the human back are lacking, and a baseline characterization of such representations, reflecting the somatosensory organization of the healthy back, is needed before exploring potential sensory map reorganization. To this end, a novel pneumatic vibrotactile stimulation method was used to stimulate paraspinal sensory afferents, while studying their cortical representations in unprecedented detail. In 41 young healthy participants, vibrotactile stimulations at 20 Hz and 80 Hz were applied bilaterally at nine locations along the thoracolumbar axis while functional magnetic resonance imaging (fMRI) was performed. Model-based whole-brain searchlight representational similarity analysis (RSA) was used to investigate the organizational structure of brain activity patterns evoked by thoracolumbar sensory inputs. A model based on segmental distances best explained the similarity structure of brain activity patterns that were located in different areas of sensorimotor cortices, including the primary somatosensory and motor cortices and parts of the superior parietal cortex, suggesting that these brain areas process sensory input from the back in a "dermatomal" manner. The current findings provide a sound basis for testing the "cortical map reorganization theory" and its pathological relevance in CLBP.
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Affiliation(s)
- Alexandros Guekos
- Integrative Spinal Research, Department of Chiropractic Medicine, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; Decision Neuroscience Lab, Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland; Neuroscience Center Zurich (ZNZ), Zurich, Switzerland.
| | - David M Cole
- Integrative Spinal Research, Department of Chiropractic Medicine, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland
| | - Monika Dörig
- Integrative Spinal Research, Department of Chiropractic Medicine, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; School of Engineering and Architecture, Lucerne University of Applied Sciences and Arts, Horw, Switzerland
| | - Philipp Stämpfli
- Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital, University of Zurich, Switzerland; MR-Center of the Psychiatric University Hospital, Department of Child and Adolescent Psychiatry, University of Zurich, Zurich, Switzerland
| | - Louis Schibli
- Competence Center Thermal Energy Storage, Lucerne University of Applied Sciences and Art, Horw, Switzerland
| | - Philipp Schuetz
- Competence Center Thermal Energy Storage, Lucerne University of Applied Sciences and Art, Horw, Switzerland
| | - Petra Schweinhardt
- Integrative Spinal Research, Department of Chiropractic Medicine, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
| | - Michael L Meier
- Integrative Spinal Research, Department of Chiropractic Medicine, Balgrist University Hospital, University of Zurich, Zurich, Switzerland; Neuroscience Center Zurich (ZNZ), Zurich, Switzerland
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13
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Levine SM, Merz K, Keeser D, Kunz JI, Barton BB, Reinhard MA, Jobst A, Padberg F, Neukel C, Herpertz SC, Bertsch K, Musil R. Altered amygdalar emotion space in borderline personality disorder normalizes following dialectical behaviour therapy. J Psychiatry Neurosci 2023; 48:E431-E438. [PMID: 37935476 PMCID: PMC10635707 DOI: 10.1503/jpn.230085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 07/24/2023] [Accepted: 09/05/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Borderline personality disorder (BPD) is a mental health condition characterized by an inability to regulate emotions or accurately process the emotional states of others. Previous neuroimaging studies using classical univariate analyses have tied such emotion dysregulation to aberrant activity levels in the amygdala of patients with BPD. However, multivariate analyses have not yet been used to investigate how representational spaces of emotion information may be systematically altered in patients with BPD. METHODS Patients with BPD performed an emotional face matching task while undergoing MRI before and after a 10-week inpatient program of dialectical behavioural therapy. Representational similarity analysis (RSA) was applied to activity patterns (evoked by angry, fearful, neutral and surprised faces) in the amygdala and temporo-occipital fusiform gyrus of patients with BPD and in the amygdala of healthy controls. RESULTS We recruited 15 patients with BPD (8 females, 6 males, 1 transgender male) to participate in the study, and we obtained a neuroimaging data set for 25 healthy controls for a comparative analysis. The RSA of the amygdala revealed a negative bias in the underlying affective space (in that activity patterns evoked by angry, fearful and neutral faces were more similar to each other than to patterns evoked by surprised faces), which normalized after therapy. This bias-to-normalization effect was present neither in activity patterns of the temporo-occipital fusiform gyrus of patients nor in amygdalar activity patterns of healthy controls. LIMITATIONS Larger samples and additional questionnaires would help to better characterize the association between specific aspects of therapy and changes in the neural representational space. CONCLUSION Our findings suggest a more refined role for the amygdala in the pathological processing of perceived emotions and may provide new diagnostic and prognostic imaging-based markers of emotion dysregulation and personality disorders.Clinical trial registration: DRKS00019821, German Clinical Trials Register (Deutsches Register Klinischer Studien).
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Affiliation(s)
- Seth M Levine
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Katharina Merz
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Daniel Keeser
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Julia I Kunz
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Barbara B Barton
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Matthias A Reinhard
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Andrea Jobst
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Frank Padberg
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Corinne Neukel
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Sabine C Herpertz
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Katja Bertsch
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
| | - Richard Musil
- From the Department of Psychology, LMU Munich, Munich, Germany (Levine, Bertsch); the NeuroImaging Core Unit Munich (NICUM), University Hospital, LMU Munich, Munich, Germany (Levine, Merz, Keeser, Bertsch); the Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Munich, Germany (Merz, Keeser, Kunz, Barton, Reinhard, Jobst, Padberg, Musil); the Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Heidelberg, Germany (Neukel, Herpertz, Bertsch); and the German Center for Mental Health (DZPG), Munich, Germany (Padberg, Bertsch)
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Lee Y, Seo Y, Lee Y, Lee D. Dimensional emotions are represented by distinct topographical brain networks. Int J Clin Health Psychol 2023; 23:100408. [PMID: 37663040 PMCID: PMC10472247 DOI: 10.1016/j.ijchp.2023.100408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023] Open
Abstract
The ability to recognize others' facial emotions has become increasingly important after the COVID-19 pandemic, which causes stressful situations in emotion regulation. Considering the importance of emotion in maintaining a social life, emotion knowledge to perceive and label emotions of oneself and others requires an understanding of affective dimensions, such as emotional valence and emotional arousal. However, limited information is available about whether the behavioral representation of affective dimensions is similar to their neural representation. To explore the relationship between the brain and behavior in the representational geometries of affective dimensions, we constructed a behavioral paradigm in which emotional faces were categorized into geometric spaces along the valence, arousal, and valence and arousal dimensions. Moreover, we compared such representations to neural representations of the faces acquired by functional magnetic resonance imaging. We found that affective dimensions were similarly represented in the behavior and brain. Specifically, behavioral and neural representations of valence were less similar to those of arousal. We also found that valence was represented in the dorsolateral prefrontal cortex, frontal eye fields, precuneus, and early visual cortex, whereas arousal was represented in the cingulate gyrus, middle frontal gyrus, orbitofrontal cortex, fusiform gyrus, and early visual cortex. In conclusion, the current study suggests that dimensional emotions are similarly represented in the behavior and brain and are presented with differential topographical organizations in the brain.
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Affiliation(s)
| | | | - Youngju Lee
- Cognitive Science Research Group, Korea Brain Research Institute, 61 Cheomdan-ro, Dong-gu, Daegu 41062, Republic of Korea
| | - Dongha Lee
- Cognitive Science Research Group, Korea Brain Research Institute, 61 Cheomdan-ro, Dong-gu, Daegu 41062, Republic of Korea
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15
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Seiger R, Reggente N, Majid DSA, Ly R, Tadayonnejad R, Strober M, Feusner JD. Neural representations of anxiety in adolescents with anorexia nervosa: a multivariate approach. Transl Psychiatry 2023; 13:283. [PMID: 37582758 PMCID: PMC10427677 DOI: 10.1038/s41398-023-02581-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 08/02/2023] [Accepted: 08/03/2023] [Indexed: 08/17/2023] Open
Abstract
Anorexia nervosa (AN) is characterized by low body weight, fear of gaining weight, and distorted body image. Anxiety may play a role in the formation and course of the illness, especially related to situations involving food, eating, weight, and body image. To understand distributed patterns and consistency of neural responses related to anxiety, we enrolled 25 female adolescents with AN and 22 non-clinical female adolescents with mild anxiety who underwent two fMRI sessions in which they saw personalized anxiety-provoking word stimuli and neutral words. Consistency in brain response patterns across trials was determined using a multivariate representational similarity analysis (RSA) approach within anxiety circuits and in a whole-brain voxel-wise searchlight analysis. In the AN group there was higher representational similarity for anxiety-provoking compared with neutral stimuli predominantly in prefrontal regions including the frontal pole, medial prefrontal cortex, dorsolateral prefrontal cortex, and medial orbitofrontal cortex, although no significant group differences. Severity of anxiety correlated with consistency of brain responses within anxiety circuits and in cortical and subcortical regions including the frontal pole, middle frontal gyrus, orbitofrontal cortex, thalamus, lateral occipital cortex, middle temporal gyrus, and cerebellum. Higher consistency of activation in those with more severe anxiety symptoms suggests the possibility of a greater degree of conditioned brain responses evoked by personally-relevant emotional stimuli. Anxiety elicited by disorder-related stimuli may activate stereotyped, previously-learned neural responses within- and outside of classical anxiety circuits. Results have implications for understanding consistent and automatic responding to environmental stimuli that may play a role in maintenance of AN.
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Affiliation(s)
- René Seiger
- General Adult Psychiatry and Health Systems, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Nicco Reggente
- Institute for Advanced Consciousness Studies, Santa Monica, CA, USA
| | - D S-Adnan Majid
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Ronald Ly
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Reza Tadayonnejad
- Division of Neuromodulation, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Michael Strober
- Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA
| | - Jamie D Feusner
- General Adult Psychiatry and Health Systems, Centre for Addiction and Mental Health, Toronto, ON, Canada.
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
- Department of Women's and Children's Health, Karolinska Hospital, Karolinska Institutet, Stockholm, Sweden.
- Department of Psychiatry, University of Toronto, Toronto, Canada.
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16
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Jiang H, Huang C, Li Z, Wang Q, Liang W, Zhou A. Conflict Experience Regulates the Neural Encoding of Cognitive Conflict. Brain Sci 2023; 13:880. [PMID: 37371360 DOI: 10.3390/brainsci13060880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 05/17/2023] [Accepted: 05/25/2023] [Indexed: 06/29/2023] Open
Abstract
Cognitive control is adaptive in that it rapidly adjusts attention in response to changing contexts and shifting goals. Research provides evidence that cognitive control can rapidly adjust attention to focus on task-relevant information based on prior conflict experience. Neural encoding of goal-related information is critical for goal-directed behaviour; however, the empirical evidence on how conflict experience affects the encoding of cognitive conflict in the brain is rather weak. In the present fMRI study, a Stroop task with different proportions of incongruent trial was used to investigate the neural encoding of cognitive conflict in the environment with changing conflict experience. The results showed that the anterior cingulate cortex, dorsolateral prefrontal cortex, and intraparietal sulcus played a pivotal role in the neural encoding of cognitive conflict. The classification in anterior cingulate cortex was significantly above chance in the high-proportion, moderate-proportion, and low-proportion conflict conditions conducted separately, suggesting that neural encoding of cognitive conflict in this region was not altered based on proportion of conflict. The dorsolateral prefrontal cortex and intraparietal sulcus showed significant above-chance classification in the moderate-proportion and low-proportion conflict conditions, but not in the high-proportion conflict condition. These findings provide direct evidence that conflict experience modulates the neural encoding of cognitive conflict.
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Affiliation(s)
- Hui Jiang
- School of Psychology, Northwest Normal University, Lanzhou 730070, China
| | - Chaozheng Huang
- School of Judicial Police, Gansu University of Political Science and Law, Lanzhou 730070, China
| | - Zekai Li
- School of Psychology, Northwest Normal University, Lanzhou 730070, China
| | - Qiuyun Wang
- School of Psychology, Northwest Normal University, Lanzhou 730070, China
| | - Weisong Liang
- School of Psychology, Northwest Normal University, Lanzhou 730070, China
| | - Aibao Zhou
- School of Psychology, Northwest Normal University, Lanzhou 730070, China
- School of Judicial Police, Gansu University of Political Science and Law, Lanzhou 730070, China
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17
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Xu Q, Hu J, Qin Y, Li G, Zhang X, Li P. Intention affects fairness processing: Evidence from behavior and representational similarity analysis of event-related potential signals. Hum Brain Mapp 2023; 44:2451-2464. [PMID: 36749642 PMCID: PMC10028638 DOI: 10.1002/hbm.26223] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 01/11/2023] [Accepted: 01/21/2023] [Indexed: 02/08/2023] Open
Abstract
In an ultimatum game, the responder must decide between pursuing self-interest and insisting on fairness, and these choices are affected by the intentions of the proposer. However, the time course of this social decision-making process is unclear. Representational similarity analysis (RSA) is a useful technique for linking brain activity with rich behavioral data sets. In this study, electroencephalography (EEG) was used to measure the time course of neural responses to proposed allocation schemes with different intentions. Twenty-eight participants played an ultimatum game as responders. They had to choose between accepting and rejecting the fair or unfair money allocation schemes of proposers. The schemes were offered based on the proposer's selfish intention (monetary gain), altruistic intention (donation to charity), or ambiguous intention (unknown to the responder). We used a spatiotemporal RSA and inter-subject RSA (IS-RSA) to explore the connections between event-related potentials (ERPs) after offer presentation and intention presentation with four types of behavioral data (acceptance, response time, fairness ratings, and pleasantness ratings). The spatiotemporal RSA results revealed that only response time variation was linked with the difference in ERPs at 432-592 ms after offer presentation on the posterior parietal and prefrontal regions. Meanwhile, the IS-RSA results found a significant association between inter-individual differences in response time and differences in ERP activity at 596-812 ms after the presentation of ambiguous intention, particularly in the prefrontal region. This study expands the intention-based reciprocal model to the third-party context and demonstrates that brain activity can represent response time differences in social decision-making.
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Affiliation(s)
- Qiang Xu
- Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China
| | - Jiali Hu
- Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China
| | - Yi Qin
- Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China
| | - Guojie Li
- Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China
| | - Xukai Zhang
- Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Peng Li
- Brain Function and Psychological Science Research Center, Shenzhen University, Shenzhen, China
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18
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Li Z, Dong Q, Hu B, Wu H. Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability. Hum Brain Mapp 2023; 44:3343-3358. [PMID: 37051692 PMCID: PMC10171537 DOI: 10.1002/hbm.26285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 02/01/2023] [Accepted: 03/08/2023] [Indexed: 04/14/2023] Open
Abstract
Mentalising ability, indexed as the ability to understand others' beliefs, feelings, intentions, thoughts and traits, is a pivotal and fundamental component of human social cognition. However, considering the multifaceted nature of mentalising ability, little research has focused on characterising individual differences in different mentalising components. And even less research has been devoted to investigating how the variance in the structural and functional patterns of the amygdala and hippocampus, two vital subcortical regions of the "social brain", are related to inter-individual variability in mentalising ability. Here, as a first step toward filling these gaps, we exploited inter-subject representational similarity analysis (IS-RSA) to assess relationships between amygdala and hippocampal morphometry (surface-based multivariate morphometry statistics, MMS), connectivity (resting-state functional connectivity, rs-FC) and mentalising ability (interactive mentalisation questionnaire [IMQ] scores) across the participants ( N = 24 $$ N=24 $$ ). In IS-RSA, we proposed a novel pipeline, that is, computing patching and pooling operations-based surface distance (CPP-SD), to obtain a decent representation for high-dimensional MMS data. On this basis, we found significant correlations (i.e., second-order isomorphisms) between these three distinct modalities, indicating that a trinity existed in idiosyncratic patterns of brain morphometry, connectivity and mentalising ability. Notably, a region-related mentalising specificity emerged from these associations: self-self and self-other mentalisation are more related to the hippocampus, while other-self mentalisation shows a closer link with the amygdala. Furthermore, by utilising the dyadic regression analysis, we observed significant interactions such that subject pairs with similar morphometry had even greater mentalising similarity if they were also similar in rs-FC. Altogether, we demonstrated the feasibility and illustrated the promise of using IS-RSA to study individual differences, deepening our understanding of how individual brains give rise to their mentalising abilities.
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Affiliation(s)
- Zhaoning Li
- Centre for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, China
| | - Qunxi Dong
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Bin Hu
- School of Medical Technology, Beijing Institute of Technology, Beijing, China
| | - Haiyan Wu
- Centre for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, China
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González-García I, Visser M. A Semantic Cognition Contribution to Mood and Anxiety Disorder Pathophysiology. Healthcare (Basel) 2023; 11:healthcare11060821. [PMID: 36981478 PMCID: PMC10047953 DOI: 10.3390/healthcare11060821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/17/2023] [Accepted: 03/02/2023] [Indexed: 03/14/2023] Open
Abstract
Over the last two decades, the functional role of the bilateral anterior temporal lobes (bATLs) has been receiving more attention. They have been associated with semantics and social concept processing, and are regarded as a core region for depression. In the past, the role of the ATL has often been overlooked in semantic models based on functional magnetic resonance imaging (fMRI) due to geometric distortions in the BOLD signal. However, previous work has unequivocally associated the bATLs with these higher-order cognitive functions following advances in neuroimaging techniques to overcome the geometric distortions. At the same time, the importance of the neural basis of conceptual knowledge in understanding mood disorders became apparent. Theoretical models of the neural basis of mood and anxiety disorders have been classically studied from the emotion perspective, without concentrating on conceptual processing. However, recent work suggests that the ATL, a brain region underlying conceptual knowledge, plays an essential role in mood and anxiety disorders. Patients with anxiety and depression often cope with self-blaming biases and guilt. The theory is that in order to experience guilt, the brain needs to access the related conceptual information via the ATL. This narrative review describes how aberrant interactions of the ATL with the fronto–limbic emotional system could underlie mood and anxiety disorders.
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Chen ZS, Wilson MA. How our understanding of memory replay evolves. J Neurophysiol 2023; 129:552-580. [PMID: 36752404 PMCID: PMC9988534 DOI: 10.1152/jn.00454.2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/20/2023] [Accepted: 01/20/2023] [Indexed: 02/09/2023] Open
Abstract
Memory reactivations and replay, widely reported in the hippocampus and cortex across species, have been implicated in memory consolidation, planning, and spatial and skill learning. Technological advances in electrophysiology, calcium imaging, and human neuroimaging techniques have enabled neuroscientists to measure large-scale neural activity with increasing spatiotemporal resolution and have provided opportunities for developing robust analytic methods to identify memory replay. In this article, we first review a large body of historically important and representative memory replay studies from the animal and human literature. We then discuss our current understanding of memory replay functions in learning, planning, and memory consolidation and further discuss the progress in computational modeling that has contributed to these improvements. Next, we review past and present analytic methods for replay analyses and discuss their limitations and challenges. Finally, looking ahead, we discuss some promising analytic methods for detecting nonstereotypical, behaviorally nondecodable structures from large-scale neural recordings. We argue that seamless integration of multisite recordings, real-time replay decoding, and closed-loop manipulation experiments will be essential for delineating the role of memory replay in a wide range of cognitive and motor functions.
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Affiliation(s)
- Zhe Sage Chen
- Department of Psychiatry, New York University Grossman School of Medicine, New York, New York, United States
- Department of Neuroscience and Physiology, New York University Grossman School of Medicine, New York, New York, United States
- Neuroscience Institute, New York University Grossman School of Medicine, New York, New York, United States
- Department of Biomedical Engineering, New York University Tandon School of Engineering, Brooklyn, New York, United States
| | - Matthew A Wilson
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
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21
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Kim JH, De Asis-Cruz J, Cook KM, Limperopoulos C. Gestational age-related changes in the fetal functional connectome: in utero evidence for the global signal. Cereb Cortex 2023; 33:2302-2314. [PMID: 35641159 PMCID: PMC9977380 DOI: 10.1093/cercor/bhac209] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/06/2022] [Accepted: 05/06/2022] [Indexed: 11/13/2022] Open
Abstract
The human brain begins to develop in the third gestational week and rapidly grows and matures over the course of pregnancy. Compared to fetal structural neurodevelopment, less is known about emerging functional connectivity in utero. Here, we investigated gestational age (GA)-associated in vivo changes in functional brain connectivity during the second and third trimesters in a large dataset of 110 resting-state functional magnetic resonance imaging scans from a cohort of 95 healthy fetuses. Using representational similarity analysis, a multivariate analytical technique that reveals pair-wise similarity in high-order space, we showed that intersubject similarity of fetal functional connectome patterns was strongly related to between-subject GA differences (r = 0.28, P < 0.01) and that GA sensitivity of functional connectome was lateralized, especially at the frontal area. Our analysis also revealed a subnetwork of connections that were critical for predicting age (mean absolute error = 2.72 weeks); functional connectome patterns of individual fetuses reliably predicted their GA (r = 0.51, P < 0.001). Lastly, we identified the primary principal brain network that tracked fetal brain maturity. The main network showed a global synchronization pattern resembling global signal in the adult brain.
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Affiliation(s)
- Jung-Hoon Kim
- Developing Brain Institue, Children’s National Hospital, 111 Michigan Avenue, N.W., Washington, DC, 20010, USA
| | - Josepheen De Asis-Cruz
- Developing Brain Institue, Children’s National Hospital, 111 Michigan Avenue, N.W., Washington, DC, 20010, USA
| | - Kevin M Cook
- Developing Brain Institue, Children’s National Hospital, 111 Michigan Avenue, N.W., Washington, DC, 20010, USA
| | - Catherine Limperopoulos
- Corresponding author: Developing Brain Institute, Children’s National, 111 Michigan Ave. N.W., Washington D.C. 20010.
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22
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Li HX, Lu B, Wang YW, Li XY, Chen X, Yan CG. Neural representations of self-generated thought during think-aloud fMRI. Neuroimage 2023; 265:119775. [PMID: 36455761 DOI: 10.1016/j.neuroimage.2022.119775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 11/24/2022] [Accepted: 11/27/2022] [Indexed: 11/29/2022] Open
Abstract
Is the brain at rest during the so-called resting state? Ongoing experiences in the resting state vary in unobserved and uncontrolled ways across time, individuals, and populations. However, the role of self-generated thoughts in resting-state fMRI remains largely unexplored. In this study, we collected real-time self-generated thoughts during "resting-state" fMRI scans via the think-aloud method (i.e., think-aloud fMRI), which required participants to report whatever they were currently thinking. We first investigated brain activation patterns during a think-aloud condition and found that significantly activated brain areas included all brain regions required for speech. We then calculated the relationship between divergence in thought content and brain activation during think-aloud and found that divergence in thought content was associated with many brain regions. Finally, we explored the neural representation of self-generated thoughts by performing representational similarity analysis (RSA) at three neural scales: a voxel-wise whole-brain searchlight level, a region-level whole-brain analysis using the Schaefer 400-parcels, and at the systems level using the Yeo seven-networks. We found that "resting-state" self-generated thoughts were distributed across a wide range of brain regions involving all seven Yeo networks. This study highlights the value of considering ongoing experiences during resting-state fMRI and providing preliminary methodological support for think-aloud fMRI.
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Affiliation(s)
- Hui-Xian Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Bin Lu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Yu-Wei Wang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xue-Ying Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Xiao Chen
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China; International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
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23
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Decomposing Neural Representational Patterns of Discriminatory and Hedonic Information during Somatosensory Stimulation. eNeuro 2023; 10:ENEURO.0274-22.2022. [PMID: 36549914 PMCID: PMC9829099 DOI: 10.1523/eneuro.0274-22.2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 12/06/2022] [Accepted: 12/07/2022] [Indexed: 12/24/2022] Open
Abstract
The ability to interrogate specific representations in the brain, determining how, and where, difference sources of information are instantiated can provide invaluable insight into neural functioning. Pattern component modeling (PCM) is a recent analytic technique for human neuroimaging that allows the decomposition of representational patterns in brain into contributing subcomponents. In the current study, we present a novel PCM variant that tracks the contribution of prespecified representational patterns to brain representation across areas, thus allowing hypothesis-guided employment of the technique. We apply this technique to investigate the contributions of hedonic and nonhedonic information to the neural representation of tactile experience. We applied aversive pressure (AP) and appetitive brush (AB) to stimulate distinct peripheral nerve pathways for tactile information (C-/CT-fibers, respectively) while patients underwent functional magnetic resonance imaging (fMRI) scanning. We performed representational similarity analyses (RSAs) with pattern component modeling to dissociate how discriminatory versus hedonic tactile information contributes to population code representations in the human brain. Results demonstrated that information about appetitive and aversive tactile sensation is represented separately from nonhedonic tactile information across cortical structures. This also demonstrates the potential of new hypothesis-guided PCM variants to help delineate how information is instantiated in the brain.
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24
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Watanabe R, Kim Y, Kuruma H, Takahashi H. Imitation encourages empathic capacity toward other individuals with physical disabilities. Neuroimage 2022; 264:119710. [PMID: 36283544 DOI: 10.1016/j.neuroimage.2022.119710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 10/20/2022] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
Abstract
Many people have difficulty empathizing with others who have dissimilar characteristics, such as physical disabilities. We hypothesized that people with no disabilities imitating the movements of individuals with disabilities could improve the empathic capacity toward their difficulties. To evaluate this hypothesis, we used functional magnetic resonance imaging to measure the neural activity patterns of 26 healthy participants while they felt the difficulties of individuals with hemiplegia by adopting their perspective. The participants initially either imitated or observed hemiplegic hand movements shown in video clips. Subsequently, the videos were rewatched and their difficulties were rated. Analysis of the subjective rating scores indicated that after imitating the hemiplegic movements, the participants felt into the difficulties of hemiplegia better than if they simply observed them. The cross-validation approach of multivoxel pattern analyses demonstrated that the information regarding the effect of imitation on empathizing with the difficulties was represented in specific activation patterns of brain regions involved in the mirror neuron system and cognitive empathy by comparing to other conditions that did not contain the information. The cross-classification approach detected distinct activation patterns in the brain regions involved in affective and cognitive empathy, commonly while imitating the hemiplegic movements and subsequently feeling them. This indicated that the common representation related to these two types of empathy existed between imitating and feeling the hemiplegic movements. Furthermore, representational similarity analysis revealed that activity patterns in the anterior cingulate cortex linked to affective empathy tuned to the subjective assessment of hemiplegic movements. Our findings indicate that imitating the movements of individuals with hemiplegia triggered the affective empathic response and improved the cognitive empathic response toward them. The affective empathic response also linked the subjective assessment to the difficulties of hemiplegia, which was especially modulated by the experience of imitation. Imitating the movements of individuals with disabilities likely encourages empathic capacity from both affective and cognitive aspects, resulting in people with no disabilities precisely feeling what they are feeling.
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Affiliation(s)
- Rui Watanabe
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University, 1-5-45 Yusima, Bunkyo-ku, Tokyo 113-8549, Japan; Department of Physical Therapy Science, Division of Human Health Science, Graduate School of Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa-ku, Tokyo 116-8551, Japan.
| | - Yuri Kim
- Department of Diagnistics and Theraputics for brain Diseases, Molecular Neuroscience Research Center, Shiga University of Medical Science, Setatsukinowacho, Otsu, Shiga 520-2121 Japan
| | - Hironobu Kuruma
- Department of Physical Therapy Science, Division of Human Health Science, Graduate School of Tokyo Metropolitan University, 7-2-10 Higashiogu, Arakawa-ku, Tokyo 116-8551, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences Tokyo Medical and Dental University, 1-5-45 Yusima, Bunkyo-ku, Tokyo 113-8549, Japan
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25
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Pimpini L, Kochs S, Franssen S, van den Hurk J, Valente G, Roebroeck A, Jansen A, Roefs A. More complex than you might think: Neural representations of food reward value in obesity. Appetite 2022; 178:106164. [PMID: 35863505 DOI: 10.1016/j.appet.2022.106164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 07/01/2022] [Accepted: 07/08/2022] [Indexed: 01/22/2023]
Abstract
Obesity reached pandemic proportions and weight-loss treatments are mostly ineffective. The level of brain activity in the reward circuitry is proposed to be proportionate to the reward value of food stimuli, and stronger in people with obesity. However, empirical evidence is inconsistent. This may be due to the double-sided nature of high caloric palatable foods: at once highly palatable and high in calories (unhealthy). This study hypothesizes that, viewing high caloric palatable foods, a hedonic attentional focus compared to a health and a neutral attentional focus elicits more activity in reward-related brain regions, mostly in people with obesity. Moreover, caloric content and food palatability can be decoded from multivoxel patterns of activity most accurately in people with obesity and in the corresponding attentional focus. During one fMRI-session, attentional focus (hedonic, health, neutral) was manipulated using a one-back task with individually tailored food stimuli in 32 healthy-weight people and 29 people with obesity. Univariate analyses (p < 0.05, FWE-corrected) showed that brain activity was not different for palatable vs. unpalatable foods, nor for high vs. low caloric foods. Instead, this was higher in the hedonic compared to the health and neutral attentional focus. Multivariate analyses (MVPA) (p < 0.05, FDR-corrected) showed that palatability and caloric content could be decoded above chance level, independently of either BMI or attentional focus. Thus, brain activity to visual food stimuli is neither proportionate to the reward value (palatability and/or caloric content), nor significantly moderated by BMI. Instead, it depends on people's attentional focus, and may reflect motivational salience. Furthermore, food palatability and caloric content are represented as patterns of brain activity, independently of BMI and attentional focus. So, food reward value is reflected in patterns, not levels, of brain activity.
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Affiliation(s)
- Leonardo Pimpini
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
| | - Sarah Kochs
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Sieske Franssen
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Job van den Hurk
- Scannexus, Maastricht, Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Giancarlo Valente
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | - Anita Jansen
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Anne Roefs
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
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26
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Golec-Staśkiewicz K, Pluta A, Wojciechowski J, Okruszek Ł, Haman M, Wysocka J, Wolak T. Does the TPJ fit it all? Representational similarity analysis of different forms of mentalizing. Soc Neurosci 2022; 17:428-440. [DOI: 10.1080/17470919.2022.2138536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Affiliation(s)
| | - Agnieszka Pluta
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
- Bioimaging Research Center, Institute of Physiology and Pathology of Hearing, World Hearing Center, Kajetany, Poland
| | - Jakub Wojciechowski
- Bioimaging Research Center, Institute of Physiology and Pathology of Hearing, World Hearing Center, Kajetany, Poland
- Laboratory of Emotions Neurobiology, Nencki Institute of Experimental Biology, Warsaw, Poland
| | - Łukasz Okruszek
- Social Neuroscience Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Maciej Haman
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| | - Joanna Wysocka
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
| | - Tomasz Wolak
- Faculty of Psychology, University of Warsaw, Warsaw, Poland
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27
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Lockwood PL, Wittmann MK, Nili H, Matsumoto-Ryan M, Abdurahman A, Cutler J, Husain M, Apps MAJ. Distinct neural representations for prosocial and self-benefiting effort. Curr Biol 2022; 32:4172-4185.e7. [PMID: 36029773 PMCID: PMC9616728 DOI: 10.1016/j.cub.2022.08.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/13/2022] [Accepted: 08/07/2022] [Indexed: 01/09/2023]
Abstract
Prosocial behaviors-actions that benefit others-are central to individual and societal well-being. Although the mechanisms underlying the financial and moral costs of prosocial behaviors are increasingly understood, this work has often ignored a key influence on behavior: effort. Many prosocial acts are effortful, and people are averse to the costs of exerting them. However, how the brain encodes effort costs when actions benefit others is unknown. During fMRI, participants completed a decision-making task where they chose in each trial whether to "work" and exert force (30%-70% of maximum grip strength) or "rest" (no effort) for rewards (2-10 credits). Crucially, on separate trials, they made these decisions either to benefit another person or themselves. We used a combination of multivariate representational similarity analysis and model-based univariate analysis to reveal how the costs of prosocial and self-benefiting efforts are processed. Strikingly, we identified a unique neural signature of effort in the anterior cingulate gyrus (ACCg) for prosocial acts, both when choosing to help others and when exerting force to benefit them. This pattern was absent for self-benefiting behaviors. Moreover, stronger, specific representations of prosocial effort in the ACCg were linked to higher levels of empathy and higher subsequent exerted force to benefit others. In contrast, the ventral tegmental area and ventral insula represented value preferentially when choosing for oneself and not for prosocial acts. These findings advance our understanding of the neural mechanisms of prosocial behavior, highlighting the critical role that effort has in the brain circuits that guide helping others.
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Affiliation(s)
- Patricia L Lockwood
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, FMRIB Building, Headington, Oxford OX3 9DU, UK; Christ Church, University of Oxford, St Aldate's, Oxford OX1 1DP, UK.
| | - Marco K Wittmann
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, FMRIB Building, Headington, Oxford OX3 9DU, UK; Department of Experimental Psychology, University College London, 26 Bedford Way, London WC1H 0AP, UK; Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, Russell Square House 10-12 Russell Square, London WC1B 5EH, UK
| | - Hamed Nili
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, FMRIB Building, Headington, Oxford OX3 9DU, UK; Department of Excellence for Neural Information Processing, Center for Molecular Neurobiology (ZMNH), University Medical Center Hamburg-Eppendorf (UKE), Martinistraße 52, 20251 Hamburg, Germany
| | - Mona Matsumoto-Ryan
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK
| | - Ayat Abdurahman
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK; Wellcome Centre for Integrative Neuroimaging, University of Oxford, John Radcliffe Hospital, FMRIB Building, Headington, Oxford OX3 9DU, UK; Department of Psychology, University of Cambridge, Downing Place, Cambridge CB2 3EB, UK
| | - Jo Cutler
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK
| | - Masud Husain
- Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford OX3 9DU, UK
| | - Matthew A J Apps
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, UK; Department of Experimental Psychology, University of Oxford, Anna Watts Building, Woodstock Road, Oxford OX2 6GG, UK; Christ Church, University of Oxford, St Aldate's, Oxford OX1 1DP, UK
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28
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Depow GJ, Lin H, Inzlicht M. Cognitive effort for self, strangers, and charities. Sci Rep 2022; 12:15009. [PMID: 36056071 PMCID: PMC9440104 DOI: 10.1038/s41598-022-19163-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Accepted: 08/25/2022] [Indexed: 01/10/2023] Open
Abstract
Effort is aversive and often avoided, even when earning benefits for oneself. Yet, people sometimes work hard for others. How do people decide who is worth their effort? Prior work shows people avoid physical effort for strangers relative to themselves, but invest more physical effort for charity. Here, we find that people avoid cognitive effort for others relative to themselves, even when the cause is a personally meaningful charity. In two studies, participants repeatedly decided whether to invest cognitive effort to gain financial rewards for themselves and others. In Study 1, participants (N = 51; 150 choices) were less willing to invest cognitive effort for a charity than themselves. In Study 2, participants (N = 47; 225 choices) were more willing to work cognitively for a charity than an intragroup stranger, but again preferred cognitive exertion that benefited themselves. Computational modeling suggests that, unlike prior physical effort findings, cognitive effort discounted the subjective value of rewards linearly. Exploratory machine learning analyses suggest that people who represented others more similarly to themselves were more willing to invest effort on their behalf, opening up new avenues for future research.
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Affiliation(s)
- Gregory J Depow
- Department of Psychology, University of Toronto, 1265 Military Trail, Scarborough, ON, M1C 1A4, Canada.
| | - Hause Lin
- Hill/Levene Schools of Business, University of Regina, Regina, Canada
- Sloan School of Management, Massachusetts Institute of Technology, Cambridge, USA
| | - Michael Inzlicht
- Department of Psychology, University of Toronto, 1265 Military Trail, Scarborough, ON, M1C 1A4, Canada
- Rotman School of Management, University of Toronto, Toronto, Canada
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29
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Yang T, Yu X, Ma N, Zhang Y, Li H. Deep representation-based transfer learning for deep neural networks. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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30
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Benear SL, Horwath EA, Cowan E, Camacho MC, Ngo CT, Newcombe NS, Olson IR, Perlman SB, Murty VP. Children show adult-like hippocampal pattern similarity for familiar but not novel events. Brain Res 2022; 1791:147991. [PMID: 35772567 PMCID: PMC10103636 DOI: 10.1016/j.brainres.2022.147991] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/20/2022] [Indexed: 11/02/2022]
Abstract
The ability to detect differences among similar events in our lives is a crucial aspect of successful episodic memory performance, which develops across early childhood. The neural substrate of this ability is supported by operations in the medial temporal lobe (MTL). Here, we used representational similarity analysis (RSA) to measure neural pattern similarity in hippocampus, perirhinal cortex, and parahippocampal cortex for 4- to 10-year-old children and adults during naturalistic viewing of clips from the same compared to different movies. Further, we assessed the role of prior exposure to individual movie clips on pattern similarity in the MTL. In both age groups, neural pattern similarity in hippocampus was lower for clips drawn from the same movies compared to those drawn from different movies, suggesting that related content activates processes focused on keeping representations with shared content distinct. However, children showed this only for movies with which they had prior exposures, whereas adults showed the effect regardless of any prior exposures to the movies. These findings suggest that children require repeated exposure to stimuli to show adult-like MTL functioning in distinguishing among similar events.
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Affiliation(s)
- Susan L Benear
- Department of Psychology, Temple University, Philadelphia, USA
| | | | - Emily Cowan
- Department of Psychology, Temple University, Philadelphia, USA
| | - M Catalina Camacho
- Department of Psychiatry, Washington University of St. Louis, St. Louis, USA
| | - Chi T Ngo
- Max Planck Institute for Human Development, Berlin, Germany
| | - Nora S Newcombe
- Department of Psychology, Temple University, Philadelphia, USA
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, USA
| | - Susan B Perlman
- Department of Psychiatry, Washington University of St. Louis, St. Louis, USA
| | - Vishnu P Murty
- Department of Psychology, Temple University, Philadelphia, USA.
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31
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Yue Q, Martin RC. Phonological Working Memory Representations in the Left Inferior Parietal Lobe in the Face of Distraction and Neural Stimulation. Front Hum Neurosci 2022; 16:890483. [PMID: 35814962 PMCID: PMC9259857 DOI: 10.3389/fnhum.2022.890483] [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: 03/06/2022] [Accepted: 05/30/2022] [Indexed: 11/21/2022] Open
Abstract
The neural basis of phonological working memory (WM) was investigated through an examination of the effects of irrelevant speech distractors and disruptive neural stimulation from transcranial magnetic stimulation (TMS). Embedded processes models argue that the same regions involved in speech perception are used to support phonological WM whereas buffer models assume that a region separate from speech perception regions is used to support WM. Thus, according to the embedded processes approach but not the buffer approach, irrelevant speech and TMS to the speech perception region should disrupt the decoding of phonological WM representations. According to the buffer account, decoding of WM items should be possible in the buffer region despite distraction and should be disrupted with TMS to this region. Experiment 1 used fMRI and representational similarity analyses (RSA) with a delayed recognition memory paradigm using nonword stimuli. Results showed that decoding of memory items in the speech perception regions (superior temporal gyrus, STG) was possible in the absence of distractors. However, the decoding evidence in the left STG was susceptible to interference from distractors presented during the delay period whereas decoding in the proposed buffer region (supramarginal gyrus, SMG) persisted. Experiment 2 examined the causal roles of the speech processing region and the buffer region in phonological WM performance using TMS. TMS to the SMG during the early delay period caused a disruption in recognition performance for the memory nonwords, whereas stimulations at the STG and an occipital control region did not affect WM performance. Taken together, results from the two experiments are consistent with predictions of a buffer model of phonological WM, pointing to a critical role of the left SMG in maintaining phonological representations.
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Affiliation(s)
- Qiuhai Yue
- Department of Psychological Sciences, Rice University, Houston, TX, United States
- Department of Psychology, Vanderbilt University, Nashville, TN, United States
- *Correspondence: Qiuhai Yue Randi C. Martin
| | - Randi C. Martin
- Department of Psychological Sciences, Rice University, Houston, TX, United States
- *Correspondence: Qiuhai Yue Randi C. Martin
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32
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Ueda R. Neural Processing of Facial Attractiveness and Romantic Love: An Overview and Suggestions for Future Empirical Studies. Front Psychol 2022; 13:896514. [PMID: 35774950 PMCID: PMC9239166 DOI: 10.3389/fpsyg.2022.896514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/25/2022] [Indexed: 11/25/2022] Open
Abstract
Romantic love is universally observed in human communities, and the manner in which a person chooses a long-term romantic partner has been a central question in studies on close relationships. Numerous empirical psychological studies have demonstrated that facial attractiveness greatly impacts initial romantic attraction. This close link was further investigated by neuroimaging studies showing that both viewing attractive faces and having romantic thoughts recruit the reward system. However, it remains unclear how our brains integrate perceived facial attractiveness into initial romantic attraction. In addition, it remains unclear how our brains shape a persistent attraction to a particular person through interactions; this persistent attraction is hypothesized to contribute to a long-term relationship. After reviewing related studies, I introduce methodologies that could help address these questions.
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Affiliation(s)
- Ryuhei Ueda
- Institute for the Future of Human Society, Kyoto University, Kyoto, Japan
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Osaka, Japan
- *Correspondence: Ryuhei Ueda,
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33
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Morawetz C, Berboth S, Kohn N, Jackson PL, Jauniaux J. Reappraisal and empathic perspective-taking - More alike than meets the eyes. Neuroimage 2022; 255:119194. [PMID: 35413444 DOI: 10.1016/j.neuroimage.2022.119194] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 03/02/2022] [Accepted: 04/06/2022] [Indexed: 01/10/2023] Open
Abstract
Emotion regulation and empathy represent highly intertwined psychological processes sharing common conceptual ground. Despite the wealth of research in these fields, the joint and distinct functional nature and topological features of these constructs have not yet been investigated using the same experimental approach. This study investigated the common and distinct neural correlates of emotion regulation and empathy using a meta-analytic approach. The regions that were jointly activated were then characterized using meta-analytic connectivity modeling and functional decoding of metadata terms. The results revealed convergent activity within the ventrolateral and dorsomedial prefrontal cortex as well as temporal regions. The functional decoding analysis demonstrated that emotion regulation and empathy were related to highly similar executive and internally oriented processes. This synthesis underlining strong functional and neuronal correspondence between emotion regulation and empathy could (i) facilitate greater integration of these two separate lines of literature, (ii) accelerate progress toward elucidating the neural mechanisms that support social cognition, and (iii) push forward the development of a common theoretical framework for these psychological processes essential to human social interactions.
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Affiliation(s)
| | - Stella Berboth
- Institute of Psychology, University of Innsbruck, Austria
| | - Nils Kohn
- Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Netherlands
| | | | - Josiane Jauniaux
- Faculty of Medicine and Health Sciences, Sherbrooke University, Sherbrooke, Canada
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Hevia-Orozco JC, Reyes-Aguilar A, Hernández-Pérez R, González-Santos L, Pasaye EH, Barrios FA. Personality Traits Induce Different Brain Patterns When Processing Social and Valence Information. Front Psychol 2022; 12:782754. [PMID: 35153905 PMCID: PMC8833229 DOI: 10.3389/fpsyg.2021.782754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/28/2021] [Indexed: 11/28/2022] Open
Abstract
This paper shows the brain correlates of Cloninger’s personality model during the presentation of social scenarios under positive or negative valence situations. Social scenarios were constructed when participants played the Dictator game with two confederates that had two opposites roles as the cooperator (Coop) and non-cooperator (NoCoop). Later the same day during a fMRI scanning session, participants read negative (Neg) and positive (Pos) situations that happened to confederates in the past. Participants were asked to think “how do you think those people felt during that situation?” A dissimilarity matrix between stimuli were obtained from fMRI results. Results shown that Harm Avoidance trait people make use of right middle frontal gyrus and left superior frontal gyrus to discriminate between Coop and NoCoop. Cooperation as a trait makes use of the right superior temporal gyrus and the right precuneus to discriminate between Coop and NoCoop in positive social scenarios. Finally, Self-directedness trait people make use of the right inferior parietal lobe to discriminate between Coop and NoCoop in negative social scenarios and the right precuneus to discriminate between Coop and Strangers. An intuitive link between discrimination findings and behavioral patterns of those personality traits is proposed.
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Affiliation(s)
- Jorge Carlos Hevia-Orozco
- Escuela de Psicología, Universidad Anáhuac Mayab, Mérida, Mexico
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Azalea Reyes-Aguilar
- Facultad de Psicología, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Raúl Hernández-Pérez
- Department of Ethology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary
| | - Leopoldo González-Santos
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Erick H Pasaye
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
| | - Fernando A Barrios
- Instituto de Neurobiología, Universidad Nacional Autónoma de México, Santiago de Querétaro, Mexico
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35
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Yatziv T, Vancor EA, Bunderson M, Rutherford HJV. Maternal perinatal anxiety and neural responding to infant affective signals: Insights, challenges, and a road map for neuroimaging research. Neurosci Biobehav Rev 2021; 131:387-399. [PMID: 34563563 DOI: 10.1016/j.neubiorev.2021.09.043] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 09/02/2021] [Accepted: 09/22/2021] [Indexed: 11/28/2022]
Abstract
Anxiety symptoms are common among women during pregnancy and the postpartum period, potentially having detrimental effects on both mother and child's well-being. Perinatal maternal anxiety interferes with a core facet of adaptive caregiving: mothers' sensitive responsiveness to infant affective communicative 'cues.' This review summarizes the current research on the neural correlates of maternal processing of infant cues in the presence of perinatal anxiety, outlines its limitations, and offers next steps to advance future research. Functional neuroimaging studies examining the neural circuitry involved in, and electrophysiological studies examining the temporal dynamics of, processing infant cues during pregnancy and postpartum are reviewed. Studies have generally indicated mixed findings, although emerging themes suggest that anxiety may be implicated in several stages of processing infant cues- detection, interpretation, and reaction- contingent upon cue valence. Limitations include inconsistent designs, lack of differentiation between anxiety and depression symptoms, and limited consideration of parenting-specific (versus domain-general) anxiety. Future studies should incorporate longitudinal investigation of multiple levels of analysis spanning neural, cognitive, and observed aspects of sensitive caregiving.
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Sawalha J, Yousefnezhad M, Selvitella AM, Cao B, Greenshaw AJ, Greiner R. Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces. Sci Rep 2021; 11:16723. [PMID: 34408203 PMCID: PMC8373898 DOI: 10.1038/s41598-021-95987-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 07/23/2021] [Indexed: 12/30/2022] Open
Abstract
A prominent cognitive aspect of anxiety is dysregulation of emotional interpretation of facial expressions, associated with neural activity from the amygdala and prefrontal cortex. We report machine learning analysis of fMRI results supporting a key role for a third area, the temporal pole (TP) for childhood anxiety in this context. This finding is based on differential fMRI responses to emotional faces (angry versus fearful faces) in children with one or more of generalized anxiety, separation anxiety, and social phobia (n = 22) compared with matched controls (n = 23). In our machine learning (Adaptive Boosting) model, the right TP distinguished anxious from control children (accuracy = 81%). Involvement of the TP as significant for neurocognitive aspects of pediatric anxiety is a novel finding worthy of further investigation.
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Affiliation(s)
- Jeffrey Sawalha
- Department of Psychiatry, University of Alberta, Alberta, Canada.,Department of Computing Science, University of Alberta, Alberta, Canada.,Alberta Machine Intelligence Institute (Amii), Alberta, Canada
| | - Muhammad Yousefnezhad
- Department of Psychiatry, University of Alberta, Alberta, Canada.,Department of Computing Science, University of Alberta, Alberta, Canada.,Alberta Machine Intelligence Institute (Amii), Alberta, Canada
| | - Alessandro M Selvitella
- Department of Mathematical Sciences, Purdue University, Fort Wayne, United States.,eScience Institute, University of Washington, Seattle, WA, USA
| | - Bo Cao
- Department of Psychiatry, University of Alberta, Alberta, Canada
| | | | - Russell Greiner
- Department of Psychiatry, University of Alberta, Alberta, Canada. .,Department of Computing Science, University of Alberta, Alberta, Canada. .,Alberta Machine Intelligence Institute (Amii), Alberta, Canada.
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37
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Brooks JA, Stolier RM, Freeman JB. Computational approaches to the neuroscience of social perception. Soc Cogn Affect Neurosci 2021; 16:827-837. [PMID: 32986115 PMCID: PMC8343569 DOI: 10.1093/scan/nsaa127] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 07/23/2020] [Accepted: 09/09/2020] [Indexed: 11/14/2022] Open
Abstract
Across multiple domains of social perception-including social categorization, emotion perception, impression formation and mentalizing-multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) data has permitted a more detailed understanding of how social information is processed and represented in the brain. As in other neuroimaging fields, the neuroscientific study of social perception initially relied on broad structure-function associations derived from univariate fMRI analysis to map neural regions involved in these processes. In this review, we trace the ways that social neuroscience studies using MVPA have built on these neuroanatomical associations to better characterize the computational relevance of different brain regions, and discuss how MVPA allows explicit tests of the correspondence between psychological models and the neural representation of social information. We also describe current and future advances in methodological approaches to multivariate fMRI data and their theoretical value for the neuroscience of social perception.
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Affiliation(s)
- Jeffrey A Brooks
- Department of Psychology, New York University, New York, NY, USA
| | - Ryan M Stolier
- Columbia University, 1190 Amsterdam Ave., New York, NY 10027, USA
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Mitchell WJ, Tepfer LJ, Henninger NM, Perlman SB, Murty VP, Helion C. Developmental Differences in Affective Representation Between Prefrontal and Subcortical Structures. Soc Cogn Affect Neurosci 2021; 17:nsab093. [PMID: 34331538 PMCID: PMC8881632 DOI: 10.1093/scan/nsab093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 06/16/2021] [Accepted: 07/30/2021] [Indexed: 01/09/2023] Open
Abstract
Developmental studies have identified differences in prefrontal and subcortical affective structures between children and adults, which correspond with observed cognitive and behavioral maturations from relatively simplistic emotional experiences and expressions to more nuanced, complex ones. However, developmental changes in the neural representation of emotions have not yet been well explored. It stands to reason that adults and children may demonstrate observable differences in the representation of affect within key neurological structures implicated in affective cognition. Forty-five participants (25 children; 20 adults) passively viewed positive, negative, and neutral clips from popular films while undergoing functional magnetic resonance imaging (fMRI). Using representational similarity analysis (RSA) to measure variability in neural pattern similarity, we found developmental differences between children and adults in the amygdala, nucleus accumbens (NAcc), and ventromedial prefrontal cortex (vmPFC), such that children generated less pattern similarity within subcortical structures relative to the vmPFC; a phenomenon not replicated among their older counterparts. Furthermore, children generated valence-specific differences in representational patterns across regions; these valence-specific patterns were not found in adults. These results may suggest that affective representations grow increasingly dissimilar over development as individuals mature from visceral affective responses to more evaluative analyses.
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Affiliation(s)
- William J Mitchell
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
| | - Lindsey J Tepfer
- Department of Psychological and Brain Sciences, Moore Hall, Dartmouth College, Hanover, NH 03755, USA
| | - Nicole M Henninger
- Klein College of Media and Communication, Annenberg Hall, Temple University, Philadelphia, PA 19122, USA
| | - Susan B Perlman
- Department of Psychiatry, Washington University of St Louis, St Louis, MO 63110, USA
| | - Vishnu P Murty
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
| | - Chelsea Helion
- Department of Psychology, Weiss Hall, Temple University, Philadelphia, PA 19122, USA
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Kim J, Kim H. Neural Representation in mPFC Reveals Hidden Selfish Motivation in White Lies. J Neurosci 2021; 41:5937-5946. [PMID: 34059555 PMCID: PMC8265801 DOI: 10.1523/jneurosci.0088-21.2021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 04/10/2021] [Accepted: 04/16/2021] [Indexed: 11/25/2022] Open
Abstract
Identifying true motivation for Pareto lies, which are mutually beneficial for both the liar and others, can be challenging because different covert motivations can lead to identical overt behavior. In this study, we adopted a brain-fingerprinting approach, combining both univariate and multivariate analyses to estimate individual measures of selfish motivation in Pareto lies by the degree of multivoxel neural representation in the mPFC for Pareto lies conforming with those for selfish versus altruistic lies in human participants of either sex. An increase in selfish motivation for Pareto lies was associated with higher mean-level activity in both ventral and rostral mPFC. The former showed an increased pattern similarity to selfish lies, and the latter showed a decreased pattern similarity to altruistic lies. Higher ventral mPFC pattern similarity predicted faster response time in Pareto lies. Our findings demonstrated that hidden selfish motivation in white lies can be revealed by neural representation in the mPFC.SIGNIFICANCE STATEMENT True motivation for dishonesty serving both self and others cannot be accurately discerned from observed behaviors. Here we showed that fMRI combining both univariate and multivariate analyses can be effectively used to reveal hidden selfish motivation of Pareto lies serving both self and others. The present study suggests that selfish motivation for prosocial dishonesty is encoded primarily by increased activity of the ventromedial and the rostromedial prefrontal cortex, representing intuitive self-serving valuation and strategic switching of motivation depending on beneficiary of dishonesty, respectively.
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Affiliation(s)
- JuYoung Kim
- Laboratory of Social and Decision Neuroscience and School of Psychology, Korea University, Seoul, 02841, Republic of Korea
| | - Hackjin Kim
- Laboratory of Social and Decision Neuroscience and School of Psychology, Korea University, Seoul, 02841, Republic of Korea
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40
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Parkinson C. Computational methods in social neuroscience: recent advances, new tools and future directions. Soc Cogn Affect Neurosci 2021; 16:739-744. [PMID: 34101815 PMCID: PMC8343570 DOI: 10.1093/scan/nsab073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Accepted: 06/07/2021] [Indexed: 11/30/2022] Open
Abstract
Recent years have seen a surge of exciting developments in the computational tools available to social neuroscientists. This paper highlights and synthesizes recent advances that have been enabled by the application of such tools, as well as methodological innovations likely to be of interest and utility to social neuroscientists, but that have been concentrated in other sub-fields. Papers in this special issue are emphasized—many of which contain instructive materials (e.g. tutorials and code) for researchers new to the highlighted methods. These include approaches for modeling social decisions, characterizing multivariate neural response patterns at varying spatial scales, using decoded neurofeedback to draw causal links between specific neural response patterns and psychological and behavioral phenomena, examining time-varying patterns of connectivity between brain regions, and characterizing the social networks in which social thought and behavior unfold in everyday life. By combining computational methods for characterizing participants’ rich social environments—at the levels of stimuli, paradigms and the webs of social relationships that surround people—with those for capturing the psychological processes that undergird social behavior and the wealth of information contained in neuroimaging datasets, social neuroscientists can gain new insights into how people create, understand and navigate their complex social worlds.
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Affiliation(s)
- Carolyn Parkinson
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
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41
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Abstract
Strong foundational skills in mathematical problem solving, acquired in early childhood, are critical not only for success in the science, technology, engineering, and mathematical (STEM) fields but also for quantitative reasoning in everyday life. The acquisition of mathematical skills relies on protracted interactive specialization of functional brain networks across development. Using a systems neuroscience approach, this review synthesizes emerging perspectives on neurodevelopmental pathways of mathematical learning, highlighting the functional brain architecture that supports these processes and sources of heterogeneity in mathematical skill acquisition. We identify the core neural building blocks of numerical cognition, anchored in the posterior parietal and ventral temporal-occipital cortices, and describe how memory and cognitive control systems, anchored in the medial temporal lobe and prefrontal cortex, help scaffold mathematical skill development. We highlight how interactive specialization of functional circuits influences mathematical learning across different stages of development. Functional and structural brain integrity and plasticity associated with math learning can be examined using an individual differences approach to better understand sources of heterogeneity in learning, including cognitive, affective, motivational, and sociocultural factors. Our review emphasizes the dynamic role of neurodevelopmental processes in mathematical learning and cognitive development more generally.
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Affiliation(s)
- Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Stanford Neuroscience Institute, Stanford University School of Medicine, Stanford, California, USA
- Symbolic Systems Program, Stanford University School of Medicine, Stanford, California, USA
| | - Hyesang Chang
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA
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42
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Hu Y, Hu C, Derrington E, Corgnet B, Qu C, Dreher JC. Neural basis of corruption in power-holders. eLife 2021; 10:63922. [PMID: 33759762 PMCID: PMC7990503 DOI: 10.7554/elife.63922] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 03/09/2021] [Indexed: 11/27/2022] Open
Abstract
Corruption often involves bribery, when a briber suborns a power-holder to gain advantages usually at a cost of moral transgression. Despite its wide presence in human societies, the neurocomputational basis of bribery remains elusive. Here, using model-based fMRI, we investigated the neural substrates of how a power-holder decides to accept or reject a bribe. Power-holders considered two types of moral cost brought by taking bribes: the cost of conniving with a fraudulent briber, encoded in the anterior insula, and the harm brought to a third party, represented in the right temporoparietal junction. These moral costs were integrated into a value signal in the ventromedial prefrontal cortex. The dorsolateral prefrontal cortex was selectively engaged to guide anti-corrupt behaviors when a third party would be harmed. Multivariate and connectivity analyses further explored how these neural processes depend on individual differences. These findings advance our understanding of the neurocomputational mechanisms underlying corrupt behaviors.
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Affiliation(s)
- Yang Hu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.,Laboratory of Neuroeconomics, Institut des Sciences Cognitives Marc Jeannerod, CNRS, Lyon, France
| | - Chen Hu
- Motivation, Brain & Behavior (MBB) Team, Institut du Cerveau et Moelle Epiniere, Hôpital de la Pitié-Salpêtrière, Paris, France.,Sorbonne Université, Paris, France
| | - Edmund Derrington
- Laboratory of Neuroeconomics, Institut des Sciences Cognitives Marc Jeannerod, CNRS, Lyon, France.,Université Claude Bernard Lyon 1, Lyon, France
| | | | - Chen Qu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Jean-Claude Dreher
- Laboratory of Neuroeconomics, Institut des Sciences Cognitives Marc Jeannerod, CNRS, Lyon, France.,Université Claude Bernard Lyon 1, Lyon, France
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Yue Q, Martin RC. Maintaining verbal short-term memory representations in non-perceptual parietal regions. Cortex 2021; 138:72-89. [PMID: 33677329 DOI: 10.1016/j.cortex.2021.01.020] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 11/09/2020] [Accepted: 01/27/2021] [Indexed: 12/13/2022]
Abstract
Buffer accounts of verbal short-term memory (STM) assume dedicated buffers for maintaining different types of information (e.g., phonological, visual) whereas embedded processes accounts argue against the existence of buffers and claim that STM consists of the activated portion of long-term memory (LTM). We addressed this debate by determining whether STM recruits the same neural substrate as LTM, or whether additional regions are involved in short-term storage. Using fMRI with representational similarity analysis (RSA), we examined the representational correspondence of multi-voxel neural activation patterns with the theoretical predictions for the maintenance of both phonological and semantic codes in STM. We found that during the delay period of a phonological STM task, phonological representations could be decoded in the left supramarginal gyrus (SMG) but not the superior temporal gyrus (STG), a speech processing region, for word stimuli. Whereas the pattern in the SMG was specific to phonology, a different region in the left angular gyrus showed RSA decoding evidence for the retention of either phonological or semantic codes, depending on the task context. Taken together, the results provide clear support for a dedicated buffer account of phonological STM, although evidence for a semantic buffer is equivocal.
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Affiliation(s)
- Qiuhai Yue
- Department of Psychological Sciences, Rice University, Houston, TX 77005, USA; Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.
| | - Randi C Martin
- Department of Psychological Sciences, Rice University, Houston, TX 77005, USA.
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44
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Levine SM, Schwarzbach JV. Individualizing Representational Similarity Analysis. Front Psychiatry 2021; 12:729457. [PMID: 34707520 PMCID: PMC8542717 DOI: 10.3389/fpsyt.2021.729457] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 09/10/2021] [Indexed: 11/13/2022] Open
Abstract
Representational similarity analysis (RSA) is a popular multivariate analysis technique in cognitive neuroscience that uses functional neuroimaging to investigate the informational content encoded in brain activity. As RSA is increasingly being used to investigate more clinically-geared questions, the focus of such translational studies turns toward the importance of individual differences and their optimization within the experimental design. In this perspective, we focus on two design aspects: applying individual vs. averaged behavioral dissimilarity matrices to multiple participants' neuroimaging data and ensuring the congruency between tasks when measuring behavioral and neural representational spaces. Incorporating these methods permits the detection of individual differences in representational spaces and yields a better-defined transfer of information from representational spaces onto multivoxel patterns. Such design adaptations are prerequisites for optimal translation of RSA to the field of precision psychiatry.
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Affiliation(s)
- Seth M Levine
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Jens V Schwarzbach
- Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany
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45
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Right Temporoparietal Junction Underlies Avoidance of Moral Transgression in Autism Spectrum Disorder. J Neurosci 2020; 41:1699-1715. [PMID: 33158960 DOI: 10.1523/jneurosci.1237-20.2020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 11/21/2022] Open
Abstract
Autism spectrum disorder (ASD) is characterized by a core difference in theory-of-mind (ToM) ability, which extends to alterations in moral judgment and decision-making. Although the function of the right temporoparietal junction (rTPJ), a key neural marker of ToM and morality, is known to be atypical in autistic individuals, the neurocomputational mechanisms underlying its specific changes in moral decision-making remain unclear. Here, we addressed this question by using a novel fMRI task together with computational modeling and representational similarity analysis (RSA). ASD participants and healthy control subjects (HCs) decided in public or private whether to incur a personal cost for funding a morally good cause (Good Context) or receive a personal gain for benefiting a morally bad cause (Bad Context). Compared with HC, individuals with ASD were much more likely to reject the opportunity to earn ill gotten money by supporting a bad cause than were HCs. Computational modeling revealed that this resulted from heavily weighing benefits for themselves and the bad cause, suggesting that ASD participants apply a rule of refusing to serve a bad cause because they evaluate the negative consequences of their actions more severely. Moreover, RSA revealed a reduced rTPJ representation of the information specific to moral contexts in ASD participants. Together, these findings indicate the contribution of rTPJ in representing information concerning moral rules and provide new insights for the neurobiological basis underpinning moral behaviors illustrated by a specific difference of rTPJ in ASD participants.SIGNIFICANCE STATEMENT Previous investigations have found an altered pattern of moral behaviors in individuals with autism spectrum disorder (ASD), which is closely associated with functional changes in the right temporoparietal junction (rTPJ). However, the specific neurocomputational mechanisms at play that drive the altered function of the rTPJ in moral decision-making remain unclear. Here, we show that ASD individuals are more inflexible when following a moral rule although an immoral action can benefit themselves, and experience an increased concern about their ill-gotten gains and the moral cost. Moreover, a selectively reduced rTPJ representation of information concerning moral rules was observed in ASD participants. These findings deepen our understanding of the neurobiological roots that underlie atypical moral behaviors in ASD individuals.
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46
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Integration and differentiation of hippocampal memory traces. Neurosci Biobehav Rev 2020; 118:196-208. [DOI: 10.1016/j.neubiorev.2020.07.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 07/11/2020] [Accepted: 07/20/2020] [Indexed: 11/23/2022]
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