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Li Y, Li S, Hu W, Yang L, Luo W. Spatial representation of multidimensional information in emotional faces revealed by fMRI. Neuroimage 2024; 290:120578. [PMID: 38499051 DOI: 10.1016/j.neuroimage.2024.120578] [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: 08/20/2023] [Revised: 03/13/2024] [Accepted: 03/15/2024] [Indexed: 03/20/2024] Open
Abstract
Face perception is a complex process that involves highly specialized procedures and mechanisms. Investigating into face perception can help us better understand how the brain processes fine-grained, multidimensional information. This research aimed to delve deeply into how different dimensions of facial information are represented in specific brain regions or through inter-regional connections via an implicit face recognition task. To capture the representation of various facial information in the brain, we employed support vector machine decoding, functional connectivity, and model-based representational similarity analysis on fMRI data, resulting in the identification of three crucial findings. Firstly, despite the implicit nature of the task, emotions were still represented in the brain, contrasting with all other facial information. Secondly, the connection between the medial amygdala and the parahippocampal gyrus was found to be essential for the representation of facial emotion in implicit tasks. Thirdly, in implicit tasks, arousal representation occurred in the parahippocampal gyrus, while valence depended on the connection between the primary visual cortex and the parahippocampal gyrus. In conclusion, these findings dissociate the neural mechanisms of emotional valence and arousal, revealing the precise spatial patterns of multidimensional information processing in faces.
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Affiliation(s)
- Yiwen Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China; Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, PR China
| | - Shuaixia Li
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, PR China
| | - Weiyu Hu
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, PR China
| | - Lan Yang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, PR China
| | - Wenbo Luo
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian 116029, PR China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian 116029, PR China.
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Dahlén AD, Schofield A, Schiöth HB, Brooks SJ. Subliminal Emotional Faces Elicit Predominantly Right-Lateralized Amygdala Activation: A Systematic Meta-Analysis of fMRI Studies. Front Neurosci 2022; 16:868366. [PMID: 35924231 PMCID: PMC9339677 DOI: 10.3389/fnins.2022.868366] [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: 02/02/2022] [Accepted: 06/20/2022] [Indexed: 12/03/2022] Open
Abstract
Prior research suggests that conscious face processing occurs preferentially in right hemisphere occipito-parietal regions. However, less is known about brain regions associated with non-conscious processing of faces, and whether a right-hemispheric dominance persists in line with specific affective responses. We aim to review the neural responses systematically, quantitatively, and qualitatively underlying subliminal face processing. PubMed was searched for Functional Magnetic Resonance Imaging (fMRI) publications assessing subliminal emotional face stimuli up to March 2022. Activation Likelihood Estimation (ALE) meta-analyses and narrative reviews were conducted on all studies that met ALE requirements. Risk of bias was assessed using the AXIS tool. In a meta-analysis of all 22 eligible studies (merging clinical and non-clinical populations, whole brain and region of interest analyses), bilateral amygdala activation was reported in the left (x = −19.2, y = 1.5, z = −17.1) in 59% of studies, and in the right (x = 24.4, y = −1.7, z = −17.4) in 68% of studies. In a second meta-analysis of non-clinical participants only (n = 18), bilateral amygdala was again reported in the left (x = −18, y = 3.9, z = −18.4) and right (x = 22.8, y = −0.9, z = −17.4) in 56% of studies for both clusters. In a final meta-analysis of whole-brain studies only (n=14), bilateral amygdala was also reported in the left (x = −20.2, y = 2.9, z = −17.2) in 64% of studies, and right (x = 24.2, y = −0.7, z = −17.8) in 71% of studies. The findings suggest that non-consciously detected emotional faces may influence amygdala activation, especially right-lateralized (a higher percentage of convergence in studies), which are integral for pre-conscious affect and long-term memory processing.
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Affiliation(s)
- Amelia D. Dahlén
- Functional Pharmacology and Neuroscience, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Aphra Schofield
- Faculty of Health, School of Psychology, Liverpool John Moores University, Liverpool, United Kingdom
| | - Helgi B. Schiöth
- Functional Pharmacology and Neuroscience, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Samantha J. Brooks
- Functional Pharmacology and Neuroscience, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Faculty of Health, School of Psychology, Liverpool John Moores University, Liverpool, United Kingdom
- Department of Psychology, School of Human and Community Development, University of Witwatersrand, Johannesburg, South Africa
- *Correspondence: Samantha J. Brooks
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3
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Qiu Z, Lei X, Becker SI, Pegna AJ. Neural activities during the Processing of unattended and unseen emotional faces: a voxel-wise Meta-analysis. Brain Imaging Behav 2022; 16:2426-2443. [PMID: 35739373 PMCID: PMC9581832 DOI: 10.1007/s11682-022-00697-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2022] [Indexed: 11/27/2022]
Abstract
Voxel-wise meta-analyses of task-evoked regional activity were conducted for healthy individuals during the unconscious processing of emotional and neutral faces with an aim to examine whether and how different experimental paradigms influenced brain activation patterns. Studies were categorized into sensory and attentional unawareness paradigms. Thirty-four fMRI studies including 883 healthy participants were identified. Across experimental paradigms, unaware emotional faces elicited stronger activation of the limbic system, striatum, inferior frontal gyrus, insula and the temporal lobe, compared to unaware neutral faces. Crucially, in attentional unawareness paradigms, unattended emotional faces elicited a right-lateralized increased activation (i.e., right amygdala, right temporal pole), suggesting a right hemisphere dominance for processing emotional faces during inattention. By contrast, in sensory unawareness paradigms, unseen emotional faces elicited increased activation of the left striatum, the left amygdala and the right middle temporal gyrus. Additionally, across paradigms, unconsciously processed positive emotions were found associated with more activation in temporal and parietal cortices whereas unconsciously processed negative emotions elicited stronger activation in subcortical regions, compared to neutral faces.
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Affiliation(s)
- Zeguo Qiu
- School of Psychology, The University of Queensland, Brisbane, 4072, Australia.
| | - Xue Lei
- School of Psychology, The University of Queensland, Brisbane, 4072, Australia
| | - Stefanie I Becker
- School of Psychology, The University of Queensland, Brisbane, 4072, Australia
| | - Alan J Pegna
- School of Psychology, The University of Queensland, Brisbane, 4072, Australia
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Jakobi B, Arias-Vasquez A, Hermans E, Vlaming P, Buitelaar J, Franke B, Hoogman M, van Rooij D. Neural Correlates of Reactive Aggression in Adult Attention-Deficit/Hyperactivity Disorder. Front Psychiatry 2022; 13:840095. [PMID: 35664483 PMCID: PMC9160326 DOI: 10.3389/fpsyt.2022.840095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Despite not being part of the core diagnostic criteria for attention-deficit/hyperactivity disorder (ADHD), emotion dysregulation is a highly prevalent and clinically important component of (adult) ADHD. Emotionally dysregulated behaviors such as reactive aggression have a significant impact on the functional outcome in ADHD. However, little is known about the mechanisms underlying reactive aggression in ADHD. In this study, we aimed to identify the neural correlates of reactive aggression as a measure of emotionally dysregulated behavior in adults with persistent ADHD during implicit emotion regulation processes. We analyzed associations of magnetic resonance imaging-based whole-brain activity during a dynamic facial expression task with levels of reactive aggression in 78 adults with and 78 adults without ADHD, and also investigated relationships of reactive aggression with symptoms and impairments. While participants with ADHD had higher reactive aggression scores than controls, the neural activation patterns of both groups to processing of emotional faces were similar. However, investigating the brain activities associated with reactive aggression in individuals with and without ADHD showed an interaction of diagnosis and reactive aggression scores. We found high levels of activity in the right insula, the hippocampus, and middle and superior frontal areas to be particularly associated with high reactive aggression scores within the ADHD group. Furthermore, the limbic activity was associated with more hyperactivity/impulsivity symptoms. These results suggest a partly differential mechanism associated with reactive aggression in ADHD as compared to controls. Emotional hyper-reactivity in the salience network as well as more effortful top-down regulation from the self-regulation network might contribute to emotionally dysregulated behavior as measured by reactive aggression.
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Affiliation(s)
- Babette Jakobi
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
- Centre for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
| | - Alejandro Arias-Vasquez
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Erno Hermans
- Centre for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Priscilla Vlaming
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Jan Buitelaar
- Centre for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Barbara Franke
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Martine Hoogman
- Department of Human Genetics, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
- Department of Psychiatry, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Medical Center, Nijmegen, Netherlands
| | - Daan van Rooij
- Centre for Cognitive Neuroimaging, Donders Institute for Brain Cognition and Behavior, Nijmegen, Netherlands
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Suarez GL, Burt SA, Gard AM, Burton J, Clark DA, Klump KL, Hyde LW. The impact of neighborhood disadvantage on amygdala reactivity: Pathways through neighborhood social processes. Dev Cogn Neurosci 2022; 54:101061. [PMID: 35042163 PMCID: PMC8777301 DOI: 10.1016/j.dcn.2022.101061] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 12/21/2021] [Accepted: 01/11/2022] [Indexed: 11/23/2022] Open
Abstract
Youth growing up in disadvantaged neighborhoods are more likely than their advantaged peers to face negative behavioral and mental health outcomes. Although studies have shown that adversity can undermine positive development via its impact on the developing brain, few studies have examined the association between neighborhood disadvantage and neural function, and no study has investigated potential social mechanisms within the neighborhood that might link neighborhood disadvantage to altered neural function. The current study evaluated the association between neighborhood disadvantage and amygdala reactivity during socioemotional face processing. We also assessed whether and which neighborhood-level social processes were related to amygdala reactivity, and whether these social processes mediated or moderated the association between neighborhood disadvantage and altered amygdala reactivity. We examined these aims in a registered report, using a sample of twins aged 7-19 years (N = 354 families, 708 twins) recruited from birth records with enrichment for neighborhood disadvantage. Twins completed a socioemotional face processing fMRI task and a sample of unrelated participants from the twins' neighborhoods were also recruited to serve as informants on neighborhood social processes. We found that neighborhood disadvantage was associated with greater right amygdala reactivity to threat, but only when neighborhood informants perceived norms in the neighborhood to be more permissive regarding general safety and management. The findings from this research add to the growing literature highlighting the influence of neighborhood disadvantage on amygdala function and the ways that supportive social processes may buffer the impact of adversity on brain function.
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Affiliation(s)
- Gabriela L Suarez
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA
| | - S Alexandra Burt
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Arianna M Gard
- Department of Psychology, Program in Neuroscience and Cognitive Neuroscience, The University of Maryland, College Park, MD 20742, USA
| | - Jared Burton
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA
| | - D Angus Clark
- Department of Psychiatry, The University of Michigan, Ann Arbor, MI 48104, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI 48824, USA
| | - Luke W Hyde
- Department of Psychology, The University of Michigan, Ann Arbor, MI 48109, USA; Survey Research Center at the Institute for Social Research, The University of Michigan, Ann Arbor, MI 48104, USA.
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Grant JE, Daws R, Hampshire A, Chamberlain SR. An fMRI Pilot Study of Cognitive Flexibility in Trichotillomania. J Neuropsychiatry Clin Neurosci 2018; 30:318-324. [PMID: 30141727 PMCID: PMC6276993 DOI: 10.1176/appi.neuropsych.18030038] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Trichotillomania is a relatively common psychiatric condition, although its neurobiological basis is unknown. Abnormalities of flexible responding have been implicated in the pathophysiology of obsessive-compulsive disorder and thus may be relevant in trichotillomania. The purpose of this study was to probe reversal learning and attentional set-shifting in trichotillomania. Twelve adults with trichotillomania and 13 matched healthy control subjects undertook a functional MRI task of cognitive flexibility. Group-level activation maps for extradimensional and reversal switches were independently parcellated into discrete regions of interest using a custom watershed algorithm. Activation magnitudes were extracted from each region of interest and study subject and compared at the group level. Reversal events evoked the expected patterns of insula and parietal regions and activity in the frontal dorsal cortex extending anterior to the frontal poles, whereas extradimensional shifts evoked the expected frontal dorsolateral and parietal pattern of activity. Trichotillomania was associated with significantly increased right middle frontal and reduced right occipital cortex activation during reversal and set-shifting. Elevated frontal activation coupled with reduced activation in more posterior brain regions was identified. These pilot data suggest potentially important neural dysfunction associated with trichotillomania.
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Affiliation(s)
- Jon E Grant
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago (JEG); the Department of Medicine, Computational, Cognitive, and Clinical Neuroimaging Lab, Imperial College, London (RD, AH); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (SRC); and Cambridge and Peterborough NHS Foundation Trust, London (SRC)
| | - Richard Daws
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago (JEG); the Department of Medicine, Computational, Cognitive, and Clinical Neuroimaging Lab, Imperial College, London (RD, AH); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (SRC); and Cambridge and Peterborough NHS Foundation Trust, London (SRC)
| | - Adam Hampshire
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago (JEG); the Department of Medicine, Computational, Cognitive, and Clinical Neuroimaging Lab, Imperial College, London (RD, AH); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (SRC); and Cambridge and Peterborough NHS Foundation Trust, London (SRC)
| | - Samuel R Chamberlain
- From the Department of Psychiatry and Behavioral Neuroscience, University of Chicago (JEG); the Department of Medicine, Computational, Cognitive, and Clinical Neuroimaging Lab, Imperial College, London (RD, AH); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (SRC); and Cambridge and Peterborough NHS Foundation Trust, London (SRC)
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7
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Gard AM, Waller R, Swartz JR, Shaw DS, Forbes EE, Hyde LW. Amygdala functional connectivity during socioemotional processing prospectively predicts increases in internalizing symptoms in a sample of low-income, urban, young men. Neuroimage 2018; 178:562-573. [PMID: 29860084 DOI: 10.1016/j.neuroimage.2018.05.079] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 05/17/2018] [Accepted: 05/31/2018] [Indexed: 12/01/2022] Open
Abstract
Functional connectivity between the amygdala and the prefrontal cortex is critical for socioemotional processing, particularly during face processing. Though processing others' emotions is important for a myriad of complex social behaviors, more research is needed to understand how different types of emotional facial expressions differentially elicit connectivity of the amygdala with widespread neural regions. Moreover, though prior studies have reported cross-sectional associations between altered amygdala-prefrontal cortex functional connectivity and internalizing symptoms (e.g., depression, anxiety), few studies have examined whether amygdala functional connectivity is prospectively related to changes in these symptoms, with little work focusing on low-income men living in stressful contexts. The current study used psycho-physiological interaction analyses at the within-subjects level to examine how amygdala connectivity differed while participants viewed fearful, angry, and neutral faces. We used structural equation modeling at the between-subjects level, using extracted parameter estimates, to test whether amygdala connectivity during face processing predicted increases in internalizing psychopathology over time, controlling for earlier symptoms. An urban sample of 167 young men from low-income families was employed. Results indicated that negative connectivity between the amygdala and prefrontal regions was modulated by emotional face type. Neuronal activity in the cingulate and frontal cortices was connected to amygdala reactivity during fearful and neutral, but not angry, face processing. Moreover, weaker left amygdala-left middle frontal gyrus negative connectivity when viewing fearful faces and stronger right amygdala-left inferior frontal gyrus negative connectivity when viewing neutral faces at age 20 both predicted increases in internalizing behaviors from age 20 to age 22. Our findings show that amygdala-prefrontal cortex connectivity can predict the persistence of internalizing symptoms among high-risk participants over time but suggest that these patterns may differ depending on the emotional stimuli examined.
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Affiliation(s)
- Arianna M Gard
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Rebecca Waller
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Johnna R Swartz
- Department of Human Ecology, University of California, Davis, Davis, CA, USA
| | - Daniel S Shaw
- Department of Psychology, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erika E Forbes
- Department of Psychology, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA; Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Luke W Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA; Center for Human Growth and Development & Survey Research Center of the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
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M Schaller U, Rauh R. What Difference Does It Make? Implicit, Explicit and Complex Social Cognition in Autism Spectrum Disorders. J Autism Dev Disord 2017; 47:961-979. [PMID: 28083780 DOI: 10.1007/s10803-016-3008-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
We tested social cognition abilities of adolescents with autism spectrum disorders (ASD) and neurotypically developed peers (NTD). A multi-faceted test-battery including facial emotion categorization (FEC), classical false belief tasks (FBT), and complex social cognition (SC), yielded significantly lower accuracy rates for FEC and complex SC tasks in ASD, but no significant differences in performance concerning FBT. A significant correlation between age and performance in a FEC task and in a complex task was found only in ASD. We propose that dynamic and/or fragmented FEC tasks can elicit deficits in implicit processing of facial emotion more efficiently. The difficulties of ASD in solving complex SC tasks can be ascribed to deficits in the acquisition and application of social schemata.
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Affiliation(s)
- Ulrich M Schaller
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hauptstrasse 8, 79104, Freiburg, Germany.
| | - Reinhold Rauh
- Department of Child and Adolescent Psychiatry, Psychotherapy, and Psychosomatics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Hauptstrasse 8, 79104, Freiburg, Germany
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9
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Zhang B, Lin P, Shi H, Öngür D, Auerbach RP, Wang X, Yao S, Wang X. Mapping anhedonia-specific dysfunction in a transdiagnostic approach: an ALE meta-analysis. Brain Imaging Behav 2017; 10:920-39. [PMID: 26487590 PMCID: PMC4838562 DOI: 10.1007/s11682-015-9457-6] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Anhedonia is a prominent symptom in neuropsychiatric disorders, most markedly in major depressive disorder (MDD) and schizophrenia (SZ). Emerging evidence indicates an overlap in the neural substrates of anhedonia between MDD and SZ, which supported a transdiagnostic approach. Therefore, we used activation likelihood estimation (ALE) meta-analysis of functional magnetic resonance imaging studies in MDD and SZ to examine the neural bases of three subdomains of anhedonia: consummatory anhedonia, anticipatory anhedonia and emotional processing. ALE analysis focused specifically on MDD or SZ was used later to dissociate specific anhedonia-related neurobiological impairments from potential disease general impairments. ALE results revealed that consummatory anhedonia was associated with decreased activation in ventral basal ganglia areas, while anticipatory anhedonia was associated with more substrates in frontal-striatal networks except the ventral striatum, which included the dorsal anterior cingulate, middle frontal gyrus and medial frontal gyrus. MDD and SZ patients showed similar neurobiological impairments in anticipatory and consummatory anhedonia, but differences in the emotional experience task, which may also involve affective/mood general processing. These results support that anhedonia is characterized by alterations in reward processing and relies on frontal-striatal brain circuitry. The transdiagnostic approach is a promising way to reveal the overall neurobiological framework that contributes to anhedonia and could help to improve targeted treatment strategies.
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Affiliation(s)
- Bei Zhang
- Medical Psychological Institute, The Second Xiangya Hospital of Central South University, 139 Renmin (M) Road, Changsha, Hunan, 410011, People's Republic of China
| | - Pan Lin
- Key Laboratory of Biomedical Information Engineering of Education Ministry, Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an, Shanxi, 710049, People's Republic of China
| | - Huqing Shi
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, People's Republic of China
| | - Dost Öngür
- Harvard Medical School and McLean Hospital, 115 Mill Street, Belmont, MA, 02478, USA
| | - Randy P Auerbach
- Harvard Medical School and McLean Hospital, 115 Mill Street, Belmont, MA, 02478, USA
| | - Xiaosheng Wang
- Department of Anatomy and Neurobiology, Xiangya School of Medicine, Central South University, Changsha, 410013, People's Republic of China
| | - Shuqiao Yao
- Medical Psychological Institute, The Second Xiangya Hospital of Central South University, 139 Renmin (M) Road, Changsha, Hunan, 410011, People's Republic of China
| | - Xiang Wang
- Medical Psychological Institute, The Second Xiangya Hospital of Central South University, 139 Renmin (M) Road, Changsha, Hunan, 410011, People's Republic of China.
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Alcalá-López D, Smallwood J, Jefferies E, Van Overwalle F, Vogeley K, Mars RB, Turetsky BI, Laird AR, Fox PT, Eickhoff SB, Bzdok D. Computing the Social Brain Connectome Across Systems and States. Cereb Cortex 2017; 28:2207-2232. [DOI: 10.1093/cercor/bhx121] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 04/27/2017] [Indexed: 11/14/2022] Open
Affiliation(s)
- Daniel Alcalá-López
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Jonathan Smallwood
- Department of Psychology, York Neuroimaging Centre, University of York, Hesslington, York, UK
| | - Elizabeth Jefferies
- Department of Psychology, York Neuroimaging Centre, University of York, Hesslington, York, UK
| | | | - Kai Vogeley
- Department of Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany
| | - Rogier B Mars
- Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EZ Nijmegen, The Netherlands
| | - Bruce I Turetsky
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Simon B Eickhoff
- Medical Faculty, Institute for Systems Neuroscience, Heinrich-Heine University, Düsseldorf, Germany
- Institute for Neuroscience and Medicine (INM-7, Brain & Behavior), Research Center Jülich, Jülich, Germany
| | - Danilo Bzdok
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- Parietal Team, INRIA, Neurospin, bat 145, CEA Saclay, Gif-sur-Yvette, France
- JARA, Translational Brain Medicine, Aachen, Germany
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11
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Shi H, Wang X, Yi J, Zhu X, Zhang X, Yang J, Yao S. Default mode network alterations during implicit emotional faces processing in first-episode, treatment-naive major depression patients. Front Psychol 2015; 6:1198. [PMID: 26322003 PMCID: PMC4533249 DOI: 10.3389/fpsyg.2015.01198] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Accepted: 07/28/2015] [Indexed: 11/13/2022] Open
Abstract
Previous studies have focused on resting-state default mode network (DMN) alterations in the development and maintenance of depression; however, only a few studies have addressed DMN changes during task-related processing and their results are inconsistent. Therefore, we explored DMN patterns in young adult patients with first-episode, treatment-naïve major depressive disorder (MDD) performing an implicit emotional processing task. Patients with MDD (N = 29) and healthy controls (N = 33) were subjected to functional magnetic resonance imaging (fMRI) at rest and while performing a gender judgment task. Group independent component analysis (ICA) was used to identify DMN component under task state for both groups. The DMN of participants with MDD had decreased functional connectivity in bilateral prefrontal areas compared to controls. Right prefrontal gyrus connectivity for MDD patients correlated negatively with scores on maladaptive scales of the Cognitive Emotion Regulation Questionnaire (CERQ). Our findings suggest that depressed people have altered DMN patterns during implicit emotional processing, which might be related to impaired internal monitoring and emotional regulation ability.
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Affiliation(s)
- Huqing Shi
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China ; Department of Psychology, Shanghai Normal University , Shanghai, China
| | - Xiang Wang
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China ; National Technology Institute of Psychiatry, Central South University , Changsha, China
| | - Jinyao Yi
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China ; National Technology Institute of Psychiatry, Central South University , Changsha, China
| | - Xiongzhao Zhu
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China ; National Technology Institute of Psychiatry, Central South University , Changsha, China
| | - Xiaocui Zhang
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China
| | - Juan Yang
- Department of Psychology, Hainan Medical College , Haikou, China
| | - Shuqiao Yao
- Medical Psychological Institute, Second Xiangya Hospital, Central South University , Changsha, China ; National Technology Institute of Psychiatry, Central South University , Changsha, China
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Laird AR, Riedel MC, Sutherland MT, Eickhoff SB, Ray KL, Uecker AM, Fox PM, Turner JA, Fox PT. Neural architecture underlying classification of face perception paradigms. Neuroimage 2015; 119:70-80. [PMID: 26093327 DOI: 10.1016/j.neuroimage.2015.06.044] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2015] [Revised: 05/27/2015] [Accepted: 06/02/2015] [Indexed: 10/23/2022] Open
Abstract
We present a novel strategy for deriving a classification system of functional neuroimaging paradigms that relies on hierarchical clustering of experiments archived in the BrainMap database. The goal of our proof-of-concept application was to examine the underlying neural architecture of the face perception literature from a meta-analytic perspective, as these studies include a wide range of tasks. Task-based results exhibiting similar activation patterns were grouped as similar, while tasks activating different brain networks were classified as functionally distinct. We identified four sub-classes of face tasks: (1) Visuospatial Attention and Visuomotor Coordination to Faces, (2) Perception and Recognition of Faces, (3) Social Processing and Episodic Recall of Faces, and (4) Face Naming and Lexical Retrieval. Interpretation of these sub-classes supports an extension of a well-known model of face perception to include a core system for visual analysis and extended systems for personal information, emotion, and salience processing. Overall, these results demonstrate that a large-scale data mining approach can inform the evolution of theoretical cognitive models by probing the range of behavioral manipulations across experimental tasks.
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Affiliation(s)
- Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA; Department of Psychology, Florida International University, Miami, FL, USA.
| | - Michael C Riedel
- Department of Physics, Florida International University, Miami, FL, USA; Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | | | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Research Center Jülich, Jülich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Dusseldorf, Germany
| | - Kimberly L Ray
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Angela M Uecker
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - P Mickle Fox
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA
| | - Jessica A Turner
- Department of Psychology and Neuroscience, Georgia State University, Atlanta, GA, USA
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center San Antonio, San Antonio, TX, USA; Research Service, South Texas Veterans Administration Medical Center, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong
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Psychophysical "blinding" methods reveal a functional hierarchy of unconscious visual processing. Conscious Cogn 2015; 35:234-50. [PMID: 25704454 DOI: 10.1016/j.concog.2015.01.012] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 01/16/2015] [Accepted: 01/20/2015] [Indexed: 11/22/2022]
Abstract
Numerous non-invasive experimental "blinding" methods exist for suppressing the phenomenal awareness of visual stimuli. Not all of these suppressive methods occur at, and thus index, the same level of unconscious visual processing. This suggests that a functional hierarchy of unconscious visual processing can in principle be established. The empirical results of extant studies that have used a number of different methods and additional reasonable theoretical considerations suggest the following tentative hierarchy. At the highest levels in this hierarchy is unconscious processing indexed by object-substitution masking. The functional levels indexed by crowding, the attentional blink (and other attentional blinding methods), backward pattern masking, metacontrast masking, continuous flash suppression, sandwich masking, and single-flash interocular suppression, fall at progressively lower levels, while unconscious processing at the lowest levels is indexed by eye-based binocular-rivalry suppression. Although unconscious processing levels indexed by additional blinding methods is yet to be determined, a tentative placement at lower levels in the hierarchy is also given for unconscious processing indexed by Troxler fading and adaptation-induced blindness, and at higher levels in the hierarchy indexed by attentional blinding effects in addition to the level indexed by the attentional blink. The full mapping of levels in the functional hierarchy onto cortical activation sites and levels is yet to be determined. The existence of such a hierarchy bears importantly on the search for, and the distinctions between, neural correlates of conscious and unconscious vision.
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