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Li T, Ding Y, Zhang L, Li H, Liu F, Li P, Zhao J, Lv D, Lang B, Guo W. Potential associations between altered brain function, cognitive deficits and gene expressing profiles in bipolar disorder across three clinical stages. J Affect Disord 2025; 374:606-615. [PMID: 39832645 DOI: 10.1016/j.jad.2025.01.077] [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: 08/08/2024] [Revised: 01/14/2025] [Accepted: 01/16/2025] [Indexed: 01/22/2025]
Abstract
AIMS We aimed to determine the relationship between altered brain imaging characteristics, cognitive function and profiles of gene expression of bipolar disorder (BD). METHODS Functional magnetic resonance imaging (fMRI) was presented in three groups of BD participants (depressed, manic and euthymic) and healthy controls. Regional Homogeneity (ReHo) and region of interest based functional analysis combining with neuroimaging-transcription association analysis were utilized to investigate abnormalities and their correlation with clinical symptoms. RESULTS Our data showed that all three groups of BD patients exhibited significantly altered ReHo values whilst the bilateral precuneus/posterior cingulate cortex (PCC) and lateral occipital cortex exhibited significant increase in BD. Functional connectivity (FC) revealed distinct characteristics of the precuneus/PCC-based default mode network. ReHo values in the Precuneus/middle cingulate cortex displayed significantly negative correlations with cognition and YMRS scores. Gene enrichment analysis also revealed that ReHo values were spatially correlated with pathways including chromatin organization and innate immune response. CONCLUSION Altered ReHo values in specific brain regions may be associated with different clinical stages and increased FC in brain may potentially function as BD imaging biomarkers. The heterogeneity of gene expression was associated with altered brain imaging properties in BD, contributing to distinguishing different stages of BD from healthy individuals.
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Affiliation(s)
- Tingting Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Leyi Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Jingping Zhao
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Dongsheng Lv
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China; Center of Mental Health, Inner Mongolia Autonomous Region, Hohhot 010010, China.
| | - Bing Lang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Desdentado L, Miragall M, Llorens R, Navarro MD, Baños RM. Identifying and regulating emotions after acquired brain injury: the role of interoceptive sensibility. Front Psychol 2023; 14:1268926. [PMID: 38179500 PMCID: PMC10764614 DOI: 10.3389/fpsyg.2023.1268926] [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: 07/31/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024] Open
Abstract
Introduction Interoceptive deficits are associated with difficulties in identifying and regulating emotions. However, research on interoception after acquired brain injury (ABI) is scarce, and its relationship with emotional difficulties in this population is unknown. This study aimed to (1) examine differences in self-reported alexithymia, performance-based emotional awareness, emotion regulation, depression, and interoceptive sensibility between ABI and control individuals; and (2) analyze the role of adaptive interoceptive dimensions in these emotional processes after ABI. Methods Forty-three individuals with ABI and 42 matched control individuals completed the Multidimensional Assessment of Interoceptive Awareness-2, the Toronto Alexithymia Scale, the Levels of Emotional Awareness Scale, the Difficulties in Emotion Regulation Scale, and the Hospital Anxiety and Depression Scale. Results Compared to the control group, individuals with ABI showed reduced tendency to ignore unpleasant sensations increased severity of depressive symptoms, as well as tendencies to have greater difficulties in emotion regulation and lower emotional awareness. Additionally, interoceptive dimensions such as trusting, as well as not-distracting from and not-worrying about bodily sensations, played a relevant role in explaining lower alexithymia and difficulties in emotion regulation. Moreover, lower alexithymia and emotion dysregulation were related to less depressive symptoms. These relationships were invariant across ABI and control individuals. Discussion Although individuals with ABI may have different levels of emotional abilities compared to non-ABI individuals, the relationship patterns between interoceptive and emotional processes appear to be similar between the two groups. This study suggests the potential benefit of addressing both interoceptive and emotional difficulties in treatments targeting such prevalent sequelae of ABI as depressive symptoms.
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Affiliation(s)
- Lorena Desdentado
- Polibienestar Research Institute, University of Valencia, Valencia, Spain
- CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain
| | - Marta Miragall
- CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain
| | - Roberto Llorens
- Neurorehabilitation and Brain Research Group, Institute for Human-Centered Technology Research, Universitat Politècnica de València, Valencia, Spain
| | | | - Rosa M. Baños
- Polibienestar Research Institute, University of Valencia, Valencia, Spain
- CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Personality, Evaluation, and Psychological Treatments, University of Valencia, Valencia, Spain
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Mulder D, Aarts E, Arias Vasquez A, Bloemendaal M. A systematic review exploring the association between the human gut microbiota and brain connectivity in health and disease. Mol Psychiatry 2023; 28:5037-5061. [PMID: 37479779 PMCID: PMC11041764 DOI: 10.1038/s41380-023-02146-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 06/02/2023] [Accepted: 06/16/2023] [Indexed: 07/23/2023]
Abstract
A body of pre-clinical evidence shows how the gut microbiota influence brain functioning, including brain connectivity. Linking measures of brain connectivity to the gut microbiota can provide important mechanistic insights into the bi-directional gut-brain communication. In this systematic review, we therefore synthesized the available literature assessing this association, evaluating the degree of consistency in microbiota-connectivity associations. Following the PRISMA guidelines, a PubMed search was conducted, including studies published up to September 1, 2022. We identified 16 studies that met the inclusion criteria. Several bacterial genera, including Prevotella, Bacteroides, Ruminococcus, Blautia, and Collinsella were most frequently reported in association with brain connectivity. Additionally, connectivity of the salience (specifically the insula and anterior cingulate cortex), default mode, and frontoparietal networks were most frequently associated with the gut microbiota, both in terms of microbial diversity and composition. There was no discernible pattern in the association between microbiota and brain connectivity. Altogether, based on our synthesis, there is evidence for an association between the gut microbiota and brain connectivity. However, many findings were poorly replicated across studies, and the specificity of the association is yet unclear. The current studies show substantial inter-study heterogeneity in methodology and reporting, limiting the robustness and reproducibility of the findings and emphasizing the need to harmonize methodological approaches. To enhance comparability and replicability, future research should focus on further standardizing processing pipelines and employing data-driven multivariate analysis strategies.
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Affiliation(s)
- Danique Mulder
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
| | - Esther Aarts
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Alejandro Arias Vasquez
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
- Department of Human Genetics, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.
| | - Mirjam Bloemendaal
- Department of Psychiatry, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands
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Hoemann K. Beyond Linguistic Relativity, Emotion Concepts Illustrate How Meaning is Contextually and Individually Variable. Top Cogn Sci 2023; 15:668-675. [PMID: 37145872 DOI: 10.1111/tops.12659] [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: 02/13/2023] [Revised: 04/18/2023] [Accepted: 04/18/2023] [Indexed: 05/06/2023]
Abstract
Kemmerer describes grounded accounts of cognition and, using crosslinguistic diversity across conceptual domains, argues that these accounts entail linguistic relativity. In this comment, I extend Kemmerer's position to the domain of emotion. Emotion concepts exemplify characteristics highlighted by grounded accounts of cognition and differ by culture and language. Recent research further demonstrates considerable situation- and person-specific differences. Based on this evidence, I argue that emotion concepts carry unique implications for variation in meaning and experience, entailing a relativity that is contextual and individual in addition to linguistic. I conclude by considering what such pervasive relativity means for interpersonal understanding.
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Amiri S, Mirfazeli FS, Grafman J, Mohammadsadeghi H, Eftekhar M, Karimzad N, Mohebbi M, Nohesara S. Alternation in functional connectivity within default mode network after psychodynamic psychotherapy in borderline personality disorder. Ann Gen Psychiatry 2023; 22:18. [PMID: 37170093 PMCID: PMC10176869 DOI: 10.1186/s12991-023-00449-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/25/2023] [Indexed: 05/13/2023] Open
Abstract
BACKGROUND Borderline personality disorder (BPD) is characterized by impairments in emotion regulation, impulse control, and interpersonal and social functioning along with a deficit in emotional awareness and empathy. In this study, we investigated whether functional connectivity (FC) within the default mode network (DMN) is affected by 1-year psychodynamic psychotherapy in patients with BPD. METHODS Nine BPD patients filled out the demography, Interpersonal Reactive Index (IRI), Toronto Alexithymia Scale 20 (TAS 20), the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST), and the Borderline Evaluation Severity over Time (BEST) questionnaire. The BPD group (9F) and the control group (9F) had a mean ± SD age of 28.2 ± 5.3 years and 30.4 ± 6.1 years, respectively. BPD subjects underwent longitudinal resting-state fMRI before psychodynamic psychotherapy and then every 4 months for a year after initiating psychotherapy. FC in DMN was characterized by calculating the nodal degree, a measure of centrality in the graph theory. RESULTS The results indicated that patients with BPD present with aberrant DMN connectivity compared to healthy controls. Over a year of psychotherapy, the patients with BPD showed both FC changes (decreasing nodal degree in the dorsal anterior cingulate cortex and increasing in other cingulate cortex regions) and behavioral improvement in their symptoms and substance use. There was also a significant positive association between the decreased nodal degree in regions of the dorsal cingulate cortex and a decrease in the score of the TAS-20 indicating difficulty in identifying feelings after psychotherapy. CONCLUSION In BPD, there is altered FC within the DMN and disruption in self-processing and emotion regulation. Psychotherapy may modify the DMN connectivity and that modification is associated with positive changes in BPD emotional symptoms.
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Affiliation(s)
- Saba Amiri
- Neuroscience Research Center, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Fatemeh Sadat Mirfazeli
- Department of Psychiatry, School of Medicine, Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Jordan Grafman
- Department of Physical Medicine & Rehabilitation, Neurology, Cognitive Neurology and Alzheimer's Center, Department of Psychiatry, Feinberg School of Medicine & Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University, Chicago, IL, USA
| | - Homa Mohammadsadeghi
- Department of Psychiatry, School of Medicine, Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences (IUMS), Tehran, Iran.
| | - Mehrdad Eftekhar
- Department of Psychiatry, School of Medicine, Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Nazila Karimzad
- Iran Psychiatric Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran
| | - Maryam Mohebbi
- Islamic Azad University Science and Research Branch Qazvin, Qazvin, Iran
| | - Shabnam Nohesara
- Department of Psychiatry, School of Medicine, Mental Health Research Center, Psychosocial Health Research Institute, Iran University of Medical Sciences (IUMS), Tehran, Iran.
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Liu Y, Yu Q, Cheng L, Chen J, Gao J, Liu Y, Lin X, Wang X, Hou Z. The parcellation of cingulate cortex in neonatal period based on resting-state functional MRI. Cereb Cortex 2023; 33:2548-2558. [PMID: 35689654 DOI: 10.1093/cercor/bhac225] [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: 03/26/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 11/14/2022] Open
Abstract
The human cingulate cortex (CC) is a complex region that is characterized by heterogeneous cytoarchitecture, connectivity, and function, and it is associated with various cognitive functions. The adult CC has been divided into various subregions, and this subdivision is highly consistent with its functional differentiation. However, only a few studies have focused on the function of neonatal CC. The aim of this study was to describe the cingulate segregation and the functional connectivity of each subdivision in full-term neonates (n = 60) based on resting-state functional magnetic resonance imaging. The neonatal CC was divided into three subregions, and each subregion showed specific connectivity patterns. The anterior cingulate cortex was mainly correlated with brain regions related to the salience (affected) network and default mode network (DMN), the midcingulate cortex was related to motor areas, and the posterior cingulate cortex was coupled with DMN. Moreover, we found that the cingulate subregions showed distinct functional profiles with major brain networks, which were defined using independent component analysis, and exhibited functional lateralization. This study provided new insights into the understanding of the functional specialization of neonatal CC, and these findings may have significant clinical implications, especially in predicting neurological disorder.
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Affiliation(s)
- Yanyan Liu
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
| | - Qiaowen Yu
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250014, China
| | - Luqi Cheng
- School of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, China
| | - Jinge Chen
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
| | - Jie Gao
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
| | - Yujia Liu
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
| | - Xiangtao Lin
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250014, China
| | - Ximing Wang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250014, China
| | - Zhongyu Hou
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Jinan, Shandong 250014, China
- Department of Medical Imaging, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250014, China
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Higher emotional awareness is associated with greater domain-general reflective tendencies. Sci Rep 2022; 12:3123. [PMID: 35210517 PMCID: PMC8873306 DOI: 10.1038/s41598-022-07141-3] [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: 07/14/2021] [Accepted: 02/08/2022] [Indexed: 11/21/2022] Open
Abstract
The tendency to reflect on the emotions of self and others is a key aspect of emotional awareness (EA)—a trait widely recognized as relevant to mental health. However, the degree to which EA draws on general reflective cognition vs. specialized socio-emotional mechanisms remains unclear. Based on a synthesis of work in neuroscience and psychology, we recently proposed that EA is best understood as a learned application of domain-general cognitive processes to socio-emotional information. In this paper, we report a study in which we tested this hypothesis in 448 (125 male) individuals who completed measures of EA and both general reflective cognition and socio-emotional performance. As predicted, we observed a significant relationship between EA measures and both general reflectiveness and socio-emotional measures, with the strongest contribution from measures of the general tendency to engage in effortful, reflective cognition. This is consistent with the hypothesis that EA corresponds to the application of general reflective cognitive processes to socio-emotional signals.
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Topography of Emotions in Cerebellum as Appraised by Functional Imaging. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1378:77-86. [DOI: 10.1007/978-3-030-99550-8_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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9
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Lane RD, Smith R. Levels of Emotional Awareness: Theory and Measurement of a Socio-Emotional Skill. J Intell 2021; 9:42. [PMID: 34449662 PMCID: PMC8395748 DOI: 10.3390/jintelligence9030042] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Revised: 08/02/2021] [Accepted: 08/09/2021] [Indexed: 12/13/2022] Open
Abstract
Emotional awareness is the ability to conceptualize and describe one's own emotions and those of others. Over thirty years ago, a cognitive-developmental theory of emotional awareness patterned after Piaget's theory of cognitive development was created as well as a performance measure of this ability called the Levels of Emotional Awareness Scale (LEAS). Since then, a large number of studies have been completed in healthy volunteers and clinical populations including those with mental health or systemic medical disorders. Along the way, there have also been further refinements and adaptations of the LEAS such as the creation of a digital version in addition to further advances in the theory itself. This review aims to provide a comprehensive summary of the evolving theoretical background, measurement methods, and empirical findings with the LEAS. The LEAS is a reliable and valid measure of emotional awareness. Evidence suggests that emotional awareness facilitates better emotion self-regulation, better ability to navigate complex social situations and enjoy relationships, and better physical and mental health. This is a relatively new but promising area of research in the domain of socio-emotional skills. The paper concludes with some recommendations for future research.
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Affiliation(s)
- Richard D. Lane
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave., Tucson, AZ 85724, USA
| | - Ryan Smith
- Laureate Institute for Brain Research, 6655 South Yale Ave., Tulsa, OK 74136, USA;
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Li C, Qiao K, Mu Y, Jiang L. Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence. Front Aging Neurosci 2021; 13:605158. [PMID: 33732136 PMCID: PMC7959829 DOI: 10.3389/fnagi.2021.605158] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 02/01/2021] [Indexed: 12/13/2022] Open
Abstract
Network efficiency characterizes how information flows within a network, and it has been used to study the neural basis of cognitive intelligence in adolescence, young adults, and elderly adults, in terms of the white matter in the human brain and functional connectivity networks. However, there were few studies investigating whether the human brain at different ages exhibited different underpins of cognitive and emotional intelligence (EI) from young adults to the middle-aged group, especially in terms of the morphological similarity networks in the human brain. In this study, we used 65 datasets (aging 18–64), including sMRI and behavioral measurements, to study the associations of network efficiency with cognitive intelligence and EI in young adults and the middle-aged group. We proposed a new method of defining the human brain morphological networks using the morphological distribution similarity (including cortical volume, surface area, and thickness). Our results showed inverted age × network efficiency interactions in the relationship of surface-area network efficiency with cognitive intelligence and EI: a negative age × global efficiency (nodal efficiency) interaction in cognitive intelligence, while a positive age × global efficiency (nodal efficiency) interaction in EI. In summary, this study not only proposed a new method of morphological similarity network but also emphasized the developmental effects on the brain mechanisms of intelligence from young adult to middle-aged groups and may promote mental health study on the middle-aged group in the future.
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Affiliation(s)
- Chunlin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Kaini Qiao
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yan Mu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lili Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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Osimo SA, Piretti L, Ionta S, Rumiati RI, Aiello M. The neural substrates of subliminal attentional bias and reduced inhibition in individuals with a higher BMI: A VBM and resting state connectivity study. Neuroimage 2021; 229:117725. [PMID: 33484850 DOI: 10.1016/j.neuroimage.2021.117725] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 12/25/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022] Open
Abstract
Previous studies have shown that individuals with overweight and obesity may experience attentional biases and reduced inhibition toward food stimuli. However, evidence is scarce as to whether the attentional bias is present even before stimuli are consciously recognized. Moreover, it is not known whether or not differences in the underlying brain morphometry and connectivity may co-occur with attentional bias and impulsivity towards food in individuals with different BMIs. To address these questions, we asked fifty-three participants (age M = 23.2, SD = 2.9, 13 males) to perform a breaking Continuous Flash Suppression (bCFS) task to measure the speed of subliminal processing, and a Go/No-Go task to measure inhibition, using food and nonfood stimuli. We collected whole-brain structural magnetic resonance images and functional resting-state activity. A higher BMI predicted slower subliminal processing of images independently of the type of stimulus (food or nonfood, p = 0.001, εp2 = 0.17). This higher threshold of awareness is linked to lower grey matter (GM) density of key areas involved in awareness, high-level sensory integration, and reward, such as the orbitofrontal cortex [t = 4.55, p = 0.003], the right temporal areas [t = 4.18, p = 0.002], the operculum and insula [t = 4.14, p = 0.005] only in individuals with a higher BMI. In addition, individuals with a higher BMI exhibit a specific reduced inhibition to food in the Go/No-Go task [p = 0.02, εp2 = 0.02], which is associated with lower GM density in reward brain regions [orbital gyrus, t = 4.97, p = 0.005, and parietal operculum, t = 5.14, p < 0.001] and lower resting-state connectivity of the orbital gyrus to visual areas [fusiform gyrus, t = -4.64, p < 0.001 and bilateral occipital cortex, t = -4.51, p < 0.001 and t = -4.34, p < 0.001]. Therefore, a higher BMI is predictive of non food-specific slower visual subliminal processing, which is linked to morphological alterations of key areas involved in awareness, high-level sensory integration, and reward. At a late, conscious stage of visual processing a higher BMI is associated with a specific bias towards food and with lower GM density in reward brain regions. Finally, independently of BMI, volumetric variations and connectivity patterns in different brain regions are associated with variability in bCFS and Go/No-Go performances.
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Affiliation(s)
- S A Osimo
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy.
| | - L Piretti
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy; Department of Psychology and Cognitive Sciences, University of Trento, corso Bettini 84, 38068 Rovereto, Italy; Fondazione ONLUS Marica De Vincenzi, via Alessandro Manzoni, 11, 38122 Rovereto, Italy
| | - S Ionta
- Sensory-Motor Lab (SeMoLa), Department of Ophthalmology, University of Lausanne, Jules Gonin Eye Hospital, Fondation Asile des Aveugles, Av. de France 15, 1002 Lausanne, Switzerland
| | - R I Rumiati
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
| | - M Aiello
- Cognitive Neuroscience Department, SISSA, via Bonomea 265, 34136 Trieste, Italy
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Chen X, Huang Y, Xiao M, Luo YJ, Liu Y, Song S, Gao X, Chen H. Self and the brain: Self-concept mediates the effect of resting-state brain activity and connectivity on self-esteem in school-aged children. PERSONALITY AND INDIVIDUAL DIFFERENCES 2021. [DOI: 10.1016/j.paid.2020.110287] [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: 10/23/2022]
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13
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Smith R, Badcock P, Friston KJ. Recent advances in the application of predictive coding and active inference models within clinical neuroscience. Psychiatry Clin Neurosci 2021; 75:3-13. [PMID: 32860285 DOI: 10.1111/pcn.13138] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 08/01/2020] [Accepted: 08/25/2020] [Indexed: 12/15/2022]
Abstract
Research in clinical neuroscience is founded on the idea that a better understanding of brain (dys)function will improve our ability to diagnose and treat neurological and psychiatric disorders. In recent years, neuroscience has converged on the notion that the brain is a 'prediction machine,' in that it actively predicts the sensory input that it will receive if one or another course of action is chosen. These predictions are used to select actions that will (most often, and in the long run) maintain the body within the narrow range of physiological states consistent with survival. This insight has given rise to an area of clinical computational neuroscience research that focuses on characterizing neural circuit architectures that can accomplish these predictive functions, and on how the associated processes may break down or become aberrant within clinical conditions. Here, we provide a brief review of examples of recent work on the application of predictive processing models of brain function to study clinical (psychiatric) disorders, with the aim of highlighting current directions and their potential clinical utility. We offer examples of recent conceptual models, formal mathematical models, and applications of such models in empirical research in clinical populations, with a focus on making this material accessible to clinicians without expertise in computational neuroscience. In doing so, we aim to highlight the potential insights and opportunities that understanding the brain as a prediction machine may offer to clinical research and practice.
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Affiliation(s)
- Ryan Smith
- Laureate Institute for Brain Research, Oklahoma, USA
| | - Paul Badcock
- Centre for Youth Mental Health, The University of Melbourne, Victoria, Australia.,Orygen, Victoria, Australia.,Melbourne School of Psychological Sciences, The University of Melbourne, Victoria, Australia
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, UK
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Lane RD, Solms M, Weihs KL, Hishaw A, Smith R. Affective agnosia: a core affective processing deficit in the alexithymia spectrum. Biopsychosoc Med 2020. [DOI: 10.1186/s13030-020-00184-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
AbstractAffective agnosia, an impairment in knowing how one feels emotionally, has been described as an extreme deficit in the experience and expression of emotion that may confer heightened risk for adverse medical outcomes. Alexithymia, by contrast, has been proposed as an over-arching construct that includes a spectrum of deficits of varying severity, including affective agnosia at the more severe end. This perspective has been challenged by Taylor and colleagues, who argue that the concept of affective agnosia is unnecessary. We compare these two perspectives by highlighting areas of agreement, reasons for asserting the importance of the affective agnosia concept, errors in Taylor and colleagues’ critique, and measurement issues. The need for performance-based measures of the ability to mentally represent emotional states in addition to metacognitive measures is emphasized. We then draw on a previously proposed three-process model of emotional awareness that distinguishes affective response generation, conceptualization and cognitive control processes which interact to produce a variety of emotional awareness and alexithymia phenotypes - including affective agnosia. The tools for measuring these three processes, their neural substrates, the mechanisms of brain-body interactions that confer heightened risk for adverse medical outcomes, and the differential treatment implications for different kinds of deficits are described. By conceptualizing alexithymia as a spectrum of deficits, the opportunity to match specific deficit mechanisms with personalized treatment for patients will be enhanced.
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15
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Smith R, Steklis HD, Steklis NG, Weihs KL, Lane RD. The evolution and development of the uniquely human capacity for emotional awareness: A synthesis of comparative anatomical, cognitive, neurocomputational, and evolutionary psychological perspectives. Biol Psychol 2020; 154:107925. [DOI: 10.1016/j.biopsycho.2020.107925] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 06/17/2020] [Accepted: 06/23/2020] [Indexed: 01/09/2023]
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16
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An Embodied Neurocomputational Framework for Organically Integrating Biopsychosocial Processes: An Application to the Role of Social Support in Health and Disease. Psychosom Med 2020; 81:125-145. [PMID: 30520766 DOI: 10.1097/psy.0000000000000661] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Two distinct perspectives-typically referred to as the biopsychosocial and biomedical models-currently guide clinical practice. Although the role of psychosocial factors in contributing to physical and mental health outcomes is widely recognized, the biomedical model remains dominant. This is due in part to (a) the largely nonmechanistic focus of biopsychosocial research and (b) the lack of specificity it currently offers in guiding clinicians to focus on social, psychological, and/or biological factors in individual cases. In this article, our objective is to provide an evidence-based and theoretically sophisticated mechanistic model capable of organically integrating biopsychosocial processes. METHODS To construct this model, we provide a narrative review of recent advances in embodied cognition and predictive processing within computational neuroscience, which offer mechanisms for understanding individual differences in social perceptions, visceral responses, health-related behaviors, and their interactions. We also review current evidence for bidirectional influences between social support and health as a detailed illustration of the novel conceptual resources offered by our model. RESULTS When integrated, these advances highlight multiple mechanistic causal pathways between psychosocial and biological variables. CONCLUSIONS By highlighting these pathways, the resulting model has important implications motivating a more psychologically sophisticated, person-specific approach to future research and clinical application in the biopsychosocial domain. It also highlights the potential for quantitative computational modeling and the design of novel interventions. Finally, it should aid in guiding future research in a manner capable of addressing the current criticisms/limitations of the biopsychosocial model and may therefore represent an important step in bridging the gap between it and the biomedical perspective.
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17
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Feng C, Wang L, Li T, Xu P. Connectome-based individualized prediction of loneliness. Soc Cogn Affect Neurosci 2020; 14:353-365. [PMID: 30874805 PMCID: PMC6523423 DOI: 10.1093/scan/nsz020] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2018] [Revised: 02/12/2019] [Accepted: 03/12/2019] [Indexed: 12/20/2022] Open
Abstract
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness at the individual level. Here, we applied a machine-learning approach to decode loneliness from whole-brain resting-state functional connectivity (RSFC). The relationship between whole-brain RSFC and loneliness was examined in a linear predictive model. The results revealed that individual loneliness could be predicted by within- and between-network connectivity of prefrontal, limbic and temporal systems, which are involved in cognitive control, emotional processing and social perceptions and communications, respectively. Key nodes that contributed to the prediction model comprised regions previously implicated in loneliness, including the dorsolateral prefrontal cortex, lateral orbital frontal cortex, ventromedial prefrontal cortex, caudate, amygdala and temporal regions. Our findings also demonstrated that both loneliness and associated neural substrates are modulated by levels of neuroticism and extraversion. The current data-driven approach provides the first evidence on the predictive brain features of loneliness based on organizations of intrinsic brain networks. Our work represents initial efforts in the direction of making individualized prediction of loneliness that could be useful for diagnosis, prognosis and treatment.
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Affiliation(s)
- Chunliang Feng
- Guangdong Provincial Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Li Wang
- Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China
| | - Ting Li
- Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China
| | - Pengfei Xu
- Shenzhen Key Laboratory of Affective and Social Neuroscience, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen, China.,Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen, China.,Department of Neuroscience, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Smith R, Parr T, Friston KJ. Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning. Front Psychol 2019; 10:2844. [PMID: 31920873 PMCID: PMC6931387 DOI: 10.3389/fpsyg.2019.02844] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/02/2019] [Indexed: 01/08/2023] Open
Abstract
The ability to conceptualize and understand one's own affective states and responses - or "Emotional awareness" (EA) - is reduced in multiple psychiatric populations; it is also positively correlated with a range of adaptive cognitive and emotional traits. While a growing body of work has investigated the neurocognitive basis of EA, the neurocomputational processes underlying this ability have received limited attention. Here, we present a formal Active Inference (AI) model of emotion conceptualization that can simulate the neurocomputational (Bayesian) processes associated with learning about emotion concepts and inferring the emotions one is feeling in a given moment. We validate the model and inherent constructs by showing (i) it can successfully acquire a repertoire of emotion concepts in its "childhood", as well as (ii) acquire new emotion concepts in synthetic "adulthood," and (iii) that these learning processes depend on early experiences, environmental stability, and habitual patterns of selective attention. These results offer a proof of principle that cognitive-emotional processes can be modeled formally, and highlight the potential for both theoretical and empirical extensions of this line of research on emotion and emotional disorders.
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Affiliation(s)
- Ryan Smith
- Laureate Institute for Brain Research, Tulsa, OK, United States
| | - Thomas Parr
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
| | - Karl J. Friston
- Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
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19
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Resting-State Functional Magnetic Resonance Imaging for Brain Tumor Surgical Planning: Feasibility in Clinical Setting. World Neurosurg 2019; 131:356-363. [DOI: 10.1016/j.wneu.2019.07.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Revised: 07/01/2019] [Accepted: 07/02/2019] [Indexed: 12/24/2022]
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20
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Biased Competition Favoring Physical Over Emotional Pain: A Possible Explanation for the Link Between Early Adversity and Chronic Pain. Psychosom Med 2019; 80:880-890. [PMID: 30222711 DOI: 10.1097/psy.0000000000000640] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Early adversity predisposes to chronic pain, but a mechanistic explanation is lacking. Survivors of early adversity with chronic pain often seem impaired in their ability to be aware of, understand, and express distressing emotions such as anger and fear in social contexts. In this context, it has been proposed that pain may at times serve as a "psychic regulator" by preventing awareness of more intolerable emotions. METHOD This narrative review builds on the premise that physical pain and emotional pain are conscious experiences that can compete for selective attention. We highlight mechanisms whereby the consequences of early adversity may put emotional pain at a competitive disadvantage. A case history, supportive research findings, and an evidence-based neurobiological model are presented. RESULTS Arising from abuse or neglect in childhood, impairments in the adult capacity to attend to and/or conceptualize the emotional meaning of felt distress may be associated with impaired engagement of the default network and impaired top-down modulation of affective response generation processes. Persistent and poorly conceptualized affective distress may be associated with reduced emotion regulation ability, reduced vagal tone, increased inflammation, and amplified nociceptive signals. Attention to physical pain may be reinforced by the temporary reduction in negative emotions that it causes. CONCLUSIONS These processes jointly promote biased competition favoring attention to physical pain and away from one's own emotions. They may constitute an unintentional analog of the phenomenon of self-injury in patients with borderline personality disorder in whom the intentional infliction of physical pain serves to downregulate intense emotional distress. Attending to, expressing, and understanding previously unacknowledged psychological distress unrelated to pain may facilitate recovery from chronic pain after early adversity. Mechanistic studies that can validate this clinically derived neurobiological hypothesis are urgently needed.
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21
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Dan HD, Zhou FQ, Huang X, Xing YQ, Shen Y. Altered intra- and inter-regional functional connectivity of the visual cortex in individuals with peripheral vision loss due to retinitis pigmentosa. Vision Res 2019; 159:68-75. [PMID: 30904614 DOI: 10.1016/j.visres.2019.02.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 02/04/2019] [Accepted: 02/27/2019] [Indexed: 01/05/2023]
Abstract
This study investigated changes in intra- and inter-regional functional connectivity (FC) in individuals with retinitis pigmentosa (RP) by using regional homogeneity (ReHo) and FC methods. Sixteen RP individuals and 14 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging scans (fMRI). A combined ReHo and FC method was conducted to evaluate synchronization of brain activity. Compared with HCs, RP individuals had significantly lower ReHo values in the bilateral lingual gyrus/cerebellum posterior lobe (LGG/CPL). In FC analysis, the RP group showed decreased positive FC relative to the HC group, from bilateral LGG/CPL to bilateral LGG/cuneus (CUN) and to left postcentral gyrus (PosCG). In contrast, the RP group showed increased negative FC relative to the HC group, from bilateral LGG/CPL to bilateral thalamus, and decreased negative FC from bilateral LGG/CPL to right middle frontal gyrus (MFG), and to left inferior parietal lobule (IPL). Moreover, ReHo values of the bilateral LGG/CPL showed negative correlations with the duration of RP. FC values of the bilateral LGG/CPL-left IPL showed negative correlations with best-corrected visual acuity (BCVA) of the right eye and left eye in RP individuals. Our results reveal reduced synchronicity of neural activity changes in the primary visual area in RP individuals. Moreover, RP individuals showed intrinsic visual network disconnection and reorganization of the retino-thalamocortical pathway and dorsal visual stream, suggesting impaired visuospatial and stereoscopic vision.
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Affiliation(s)
- Han-Dong Dan
- Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Fu-Qing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Medical Imaging Research Institute, Nanchang 330006, Jiangxi, China
| | - Xin Huang
- Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Yi-Qiao Xing
- Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China
| | - Yin Shen
- Eye Center, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China.
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Wu X, Shi L, Wei D, Qiu J. Brain connection pattern under interoceptive attention state predict interoceptive intensity and subjective anxiety feeling. Hum Brain Mapp 2019; 40:1760-1773. [PMID: 30536788 PMCID: PMC6865411 DOI: 10.1002/hbm.24488] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 10/13/2018] [Accepted: 10/31/2018] [Indexed: 01/04/2023] Open
Abstract
Interoception involves the processing of a variety of different types of information ascending from the body. Accumulating evidence has indicated that interoception plays a fundamental role in cognitive and emotional processes, such as anxiety, but how different functional connectivity patterns contribute to emotions and visceral feelings during an interoceptive attention state is still unclear. In the present study, an interoceptive attention task was performed during functional magnetic resonance imaging of healthy subjects, and the participants' subjective ratings of the intensity of interoception and feelings of anxiety were recorded. Several network nodes were selected, based on previous studies, to construct task-dependent functional connectivity patterns, which were processed by support vector regression to predict the corresponding feeling scores. The results showed that for interoception, the cingulo-opercular task control network provided the greatest contribution, whereas the most important feature for anxiety was the connections between the sensorimotor area (SSM) and the salience network (SN). There existed four overlapping connections between the two predictions: two negative connections between the default mode network (DMN) and the SSM, one negative connection between the DMN and the SN, and one positive connection between the ventral attention network and the SN; this overlap might suggest common bodily attention processing that is involved in both interoception and anxiety. This study remediates the lack of network-level biomarkers of interoception and provides a reference at the level of the brain for further understanding anxiety from an interoceptive perspective.
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Affiliation(s)
- Xinran Wu
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- School of PsychologySouthwest University (SWU)ChongqingChina
| | - Liang Shi
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- School of PsychologySouthwest University (SWU)ChongqingChina
| | - Dongtao Wei
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- School of PsychologySouthwest University (SWU)ChongqingChina
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- School of PsychologySouthwest University (SWU)ChongqingChina
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Resting-state functional connectivity as a biomarker of aggression in mild traumatic brain injury. Neuroreport 2019; 29:1413-1417. [PMID: 30204638 DOI: 10.1097/wnr.0000000000001127] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Mild traumatic brain injury (mTBI) can alter the structure of the brain and result in a range of symptoms, including elevated aggression. Neurological damage associated with mTBI is traditionally viewed as transient, yet a growing number of studies suggest long-lasting psychological and neurological changes following mTBI. However, research examining the neural basis of emotion processing in the chronic stage of mTBI recovery remains sparse. In the current study, we utilized resting state functional MRI to explore the association between default mode network connectivity and aggression in 17 healthy controls and 17 adults at least 6 months post-mTBI. The association between within-network connectivity and aggression was examined using general linear models, controlling for the effects of depression. Increased connectivity between the right hippocampus and midcingulate cortex was associated with elevated aggression in adults with mTBI, but not in healthy controls. The results provide evidence for a link between intrinsic functional network disruptions and the manifestation of postconcussive symptoms within chronic stages of recovery following mTBI. These findings expand upon the current research, providing evidence for the use of resting state functional connectivity as a potential biomarker of postconcussive aggression in chronic mTBI.
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Smith R, Kaszniak AW, Katsanis J, Lane RD, Nielsen L. The importance of identifying underlying process abnormalities in alexithymia: Implications of the three-process model and a single case study illustration. Conscious Cogn 2019; 68:33-46. [DOI: 10.1016/j.concog.2018.12.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 12/14/2018] [Accepted: 12/19/2018] [Indexed: 11/28/2022]
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Smith R, Sanova A, Alkozei A, Lane RD, Killgore WDS. Higher levels of trait emotional awareness are associated with more efficient global information integration throughout the brain: a graph-theoretic analysis of resting state functional connectivity. Soc Cogn Affect Neurosci 2019; 13:665-675. [PMID: 29931125 PMCID: PMC6121141 DOI: 10.1093/scan/nsy047] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Accepted: 06/18/2018] [Indexed: 12/25/2022] Open
Abstract
Previous studies have suggested that trait differences in emotional awareness (tEA) are clinically relevant, and associated with differences in neural structure/function. While multiple leading theories suggest that conscious awareness requires widespread information integration across the brain, no study has yet tested the hypothesis that higher tEA corresponds to more efficient brain-wide information exchange. Twenty-six healthy volunteers (13 females) underwent a resting state functional magnetic resonance imaging scan, and completed the Levels of Emotional Awareness Scale (LEAS; a measure of tEA) and the Wechsler Abbreviated Scale of Intelligence (WASI-II; a measure of general intelligence quotient [IQ]). Using a whole-brain (functionally defined) region of interest (ROI) atlas, we computed several graph theory metrics to assess the efficiency of brain-wide information exchange. After statistically controlling for differences in age, gender and IQ, we first observed a significant relationship between higher LEAS scores and greater average degree (i.e. overall whole-brain network density). When controlling for average degree, we found that higher LEAS scores were also associated with shorter average path lengths across the collective network of all included ROIs. These results jointly suggest that individuals with higher tEA display more efficient global information exchange throughout the brain. This is consistent with the idea that conscious awareness requires global accessibility of represented information.
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Affiliation(s)
- Ryan Smith
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Anna Sanova
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Anna Alkozei
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
| | - Richard D Lane
- Department of Psychiatry, University of Arizona, Tucson, AZ, USA
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The role of anterior and midcingulate cortex in emotional awareness: A domain-general processing perspective. HANDBOOK OF CLINICAL NEUROLOGY 2019; 166:89-101. [DOI: 10.1016/b978-0-444-64196-0.00006-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Smith R, Killgore WD, Alkozei A, Lane RD. A neuro-cognitive process model of emotional intelligence. Biol Psychol 2018; 139:131-151. [DOI: 10.1016/j.biopsycho.2018.10.012] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 05/28/2018] [Accepted: 10/19/2018] [Indexed: 01/10/2023]
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Smith R, Lane RD, Sanova A, Alkozei A, Smith C, Killgore WDS. Common and Unique Neural Systems Underlying the Working Memory Maintenance of Emotional vs. Bodily Reactions to Affective Stimuli: The Moderating Role of Trait Emotional Awareness. Front Hum Neurosci 2018; 12:370. [PMID: 30279652 PMCID: PMC6153922 DOI: 10.3389/fnhum.2018.00370] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 08/29/2018] [Indexed: 11/13/2022] Open
Abstract
Many leading theories suggest that the neural processes underlying the experience of one's own emotional reactions partially overlap with those underlying bodily perception (i.e., interoception, somatosensation, and proprioception). However, the goal-directed maintenance of one's own emotions in working memory (EWM) has not yet been compared to WM maintenance of one's own bodily reactions (BWM). In this study, we contrasted WM maintenance of emotional vs. bodily reactions to affective stimuli in 26 healthy individuals while they underwent functional magnetic resonance imaging. Specifically, we examined the a priori hypothesis that individual differences in trait emotional awareness (tEA) would lead to greater differences between these two WM conditions within medial prefrontal cortex (MPFC). We observed that MPFC activation during EWM (relative to BWM) was positively associated with tEA. Whole-brain analyses otherwise suggested considerable similarity in the neural activation patterns associated with EWM and BWM. In conjunction with previous literature, our findings not only support a central role of body state representation/maintenance in EWM, but also suggest greater engagement of MPFC-mediated conceptualization processes during EWM in those with higher tEA.
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Affiliation(s)
- Ryan Smith
- Department of Psychiatry, University of Arizona, Tucson, AZ, United States
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Individual differences in aesthetic engagement are reflected in resting-state fMRI connectivity: Implications for stress resilience. Neuroimage 2018; 179:156-165. [PMID: 29908310 DOI: 10.1016/j.neuroimage.2018.06.042] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 06/12/2018] [Indexed: 10/28/2022] Open
Abstract
OBJECTIVE Individual differences in aesthetic engagement-the propensity to be moved by art, nature, and beauty-are associated with positive health outcomes, as well as stress resilience. The purpose of the current study was to identify potential neural substrate mechanisms underlying individual differences in aesthetic engagement and reported proneness to aesthetic chill. METHODS Data from the Human Connectome Project (HCP) 1200 Subjects Release were utilized. Resting-state fMRI connectivity was extracted for 361 regions in the brain including cortical, subcortical and cerebellar regions for each participant, using participant-specific segmentation and parcellation of subcortical gray matter nuclei and a network-based statistics analytical approach. The Aesthetic Interests subcluster of the Openness to Experience scale (NEO-Five Factor Inventory; NEO-FFI) was used to characterize individual differences in aesthetic engagement and chill. RESULTS Participants reporting higher aesthetic engagement, particularly proneness to aesthetic chill responses, exhibited significantly higher connectivity between the default network and sensory and motor cortices, higher connectivity between the ventral default and salience networks, and decreased connectivity between the cerebellum and somatomotor cortex. CONCLUSIONS Current findings suggest that greater integration of the default mode network, involving processing of internal narrative, with neural representations of sensory perception and salience detection may be a mechanism underlying individual differences in aesthetic engagement. Thus, these individual differences may reflect general integration of environmental perception with internal emotional experience, which in turn may facilitate comfort with novelty, self-regulation, and positive adaptation to potentially stressful experiences.
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Smith R, Lane RD, Alkozei A, Bao J, Smith C, Sanova A, Nettles M, Killgore WDS. The role of medial prefrontal cortex in the working memory maintenance of one's own emotional responses. Sci Rep 2018; 8:3460. [PMID: 29472625 PMCID: PMC5823866 DOI: 10.1038/s41598-018-21896-8] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Accepted: 02/13/2018] [Indexed: 11/11/2022] Open
Abstract
The role of medial prefrontal cortex (MPFC) in maintaining emotional information within working memory (WM) remains insufficiently investigated – with some studies suggesting this process activates MPFC and others suggesting its activity is suppressed. To reconcile these different results, we asked 26 healthy participants to complete a WM task involving the maintenance of emotional content (EWM), visual content (VWM), or no content (“rest”) after exposure to emotion-provoking images. We also assessed individual differences in emotional awareness (EA). We observed that dorsal MPFC was more active during EWM than VWM; further, relative to the rest condition, both of these WM conditions involved suppression of ventral MPFC. We also observed that the dorsal anterior cingulate subregion of dorsal MPFC was positively associated with EA. We discuss how these results may be able to reconcile the findings of previous EWM studies, and extend understanding of the relationship between MPFC, EA, and WM.
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Affiliation(s)
- Ryan Smith
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States.
| | - Richard D Lane
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - Anna Alkozei
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - Jennifer Bao
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - Courtney Smith
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - Anna Sanova
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - Matthew Nettles
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
| | - William D S Killgore
- Department of Psychiatry, University of Arizona, 1501 N. Campbell Ave, Tucson, AZ, 85724-5002, United States
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Smith R, Bajaj S, Dailey NS, Alkozei A, Smith C, Sanova A, Lane RD, Killgore WD. Greater cortical thickness within the limbic visceromotor network predicts higher levels of trait emotional awareness. Conscious Cogn 2018; 57:54-61. [DOI: 10.1016/j.concog.2017.11.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2017] [Revised: 09/11/2017] [Accepted: 11/13/2017] [Indexed: 11/29/2022]
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