1
|
Qiao X, Li R, Huang H, Hong Y, Li X, Li Z, Chen S, Yang L, Ong S, Yao Y, Wang F, Zhang X, Lin KM, Xiao Y, Weng M, Zhang J. Exploring the neural mechanisms underlying cooperation and competition behavior: Insights from stereo-electroencephalography hyperscanning. iScience 2025; 28:111506. [PMID: 39898025 PMCID: PMC11787601 DOI: 10.1016/j.isci.2024.111506] [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] [Received: 07/20/2024] [Revised: 09/02/2024] [Accepted: 11/27/2024] [Indexed: 02/04/2025] Open
Abstract
Cooperation and competition are essential social behaviors in human society. This study utilized hyperscanning and stereo-electroencephalography (SEEG) to investigate intra- and inter-brain neural dynamics underlying these behaviors within the insula and inferior frontal gyrus (IFG), regions critical for executive function and mentalizing. We found distinct high-gamma responses and connectivity patterns, with a stronger influence from IFG to insula during competition and more balanced interactions during cooperation. Inter-brain synchronization shows significantly higher insula gamma synchronization during competition and higher IFG gamma synchronization during cooperation. Cross-frequency coupling suggests that these gamma synchronizations result from intra- and inter-brain interactions. Competition stems from intra-brain alpha-gamma coupling from IFG to insula and inter-brain IFG alpha synchronization, while cooperation is driven by intra-brain beta-gamma coupling from insula to IFG and inter-brain insula beta synchronization. Our findings provide insights into the neural basis of cooperation and competition, highlighting the roles of both insula and IFG.
Collapse
Affiliation(s)
- Xiaojun Qiao
- Brain Cognition and Computing Lab, National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, Hubei 430079, China
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - Rui Li
- Brain Cognition and Computing Lab, National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, Hubei 430079, China
| | - Huimin Huang
- Brain Cognition and Computing Lab, National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, Hubei 430079, China
| | - Yang Hong
- Brain Cognition and Computing Lab, National Engineering Research Center of Educational Big Data, Central China Normal University, Wuhan, Hubei 430079, China
| | - Xiaoran Li
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - Ziyue Li
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - Siyi Chen
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - Lizhi Yang
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - ShengTeng Ong
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| | - Yi Yao
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Fengpeng Wang
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Xiaobin Zhang
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Kao-Min Lin
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Yongna Xiao
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Mingxiang Weng
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen Fujian 361006, China
| | - Junsong Zhang
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian 361005, China
| |
Collapse
|
2
|
Kim K, Bae J, Lee J, Moon SA, Lee SH, Kang WS, Moon C. The Impact of Odor Category Similarity on Multimedia Experience. Exp Neurobiol 2024; 33:238-250. [PMID: 39568180 PMCID: PMC11581825 DOI: 10.5607/en24020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2024] [Revised: 10/27/2024] [Accepted: 11/14/2024] [Indexed: 11/22/2024] Open
Abstract
Although we have multiple senses, multimedia mainly targets vision and olfaction. To expand the senses impacted by multimedia, olfactory stimulation has been used to enhance the sense of reality. Odors are primarily matched with objects in scenes. However, it is impractical to select all odors that match all objects in a scene and offer them to viewers. As an alternative, offering a single odor in a category as representative of other odors belonging to that category has been suggested. However, it is unclear whether viewers' responses to videos with multiple odors (e.g., rose, lavender, and lily) from a category (e.g., flowers) are comparable. Therefore, we studied whether odors belonging to a given category could be similar in behavioral congruency and in the five frequency bands (delta, theta, alpha, beta, and gamma) of electroencephalogram (EEG) data collected while viewers watched videos. We conducted questionnaires and EEG experiments to understand the effects of similar odors belonging to categories. Our results showed that similar odors in a specific odor category were more congruent with videos than those in different odor categories. In our EEG data, the delta and theta bands were mainly clustered when odors were offered to viewers in similar categories. The theta band is known to be primarily related to the neural signals of odor information. Our studies showed that choosing odors based on odor categories in multimedia can be feasible.
Collapse
Affiliation(s)
- Kwangsu Kim
- Convergence Research Advanced Centre for Olfaction, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
- Smell and Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden 01307, Germany
| | - Jisub Bae
- Center for Cognition and Sociality, Institute for Basic Science (IBS), Daejeon 34126, Korea
| | - JeeWon Lee
- Department of Brain Sciences, Graduate School, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Sun Ae Moon
- Department of Brain Sciences, Graduate School, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Sang-Ho Lee
- Convergence Research Advanced Centre for Olfaction, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
- Division of Intelligent Robot, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Won-Seok Kang
- Convergence Research Advanced Centre for Olfaction, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
- Division of Intelligent Robot, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| | - Cheil Moon
- Convergence Research Advanced Centre for Olfaction, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
- Department of Brain Sciences, Graduate School, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea
| |
Collapse
|
3
|
Huang H, Li R, Qiao X, Li X, Li Z, Chen S, Yao Y, Wang F, Zhang X, Lin K, Zhang J. Attentional control influence habituation through modulation of connectivity patterns within the prefrontal cortex: Insights from stereo-EEG. Neuroimage 2024; 294:120640. [PMID: 38719154 DOI: 10.1016/j.neuroimage.2024.120640] [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: 12/03/2023] [Revised: 04/28/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024] Open
Abstract
Attentional control, guided by top-down processes, enables selective focus on pertinent information, while habituation, influenced by bottom-up factors and prior experiences, shapes cognitive responses by emphasizing stimulus relevance. These two fundamental processes collaborate to regulate cognitive behavior, with the prefrontal cortex and its subregions playing a pivotal role. Nevertheless, the intricate neural mechanisms underlying the interaction between attentional control and habituation are still a subject of ongoing exploration. To our knowledge, there is a dearth of comprehensive studies on the functional connectivity between subsystems within the prefrontal cortex during attentional control processes in both primates and humans. Utilizing stereo-electroencephalogram (SEEG) recordings during the Stroop task, we observed top-down dominance effects and corresponding connectivity patterns among the orbitofrontal cortex (OFC), the middle frontal gyrus (MFG), and the inferior frontal gyrus (IFG) during heightened attentional control. These findings highlighting the involvement of OFC in habituation through top-down attention. Our study unveils unique connectivity profiles, shedding light on the neural interplay between top-down and bottom-up attentional control processes, shaping goal-directed attention.
Collapse
Affiliation(s)
- Huimin Huang
- Brain Cognition and Computing Lab, National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, China; Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China
| | - Rui Li
- Brain Cognition and Computing Lab, National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, China
| | - Xiaojun Qiao
- Brain Cognition and Computing Lab, National Engineering Research Center for E-learning, Central China Normal University, Wuhan, Hubei, China
| | - Xiaoran Li
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China
| | - Ziyue Li
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China
| | - Siyi Chen
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China
| | - Yi Yao
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen, Fujian, China
| | - Fengpeng Wang
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen, Fujian, China
| | - Xiaobin Zhang
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen, Fujian, China
| | - Kaomin Lin
- Epilepsy Center, Xiamen Humanity Hospital, Xiamen, Fujian, China
| | - Junsong Zhang
- Brain Cognition and Intelligent Computing Lab, Department of Artificial Intelligence, School of Informatics, Xiamen University, Xiamen, Fujian, China.
| |
Collapse
|
4
|
Hong JS, Lee D, Han DH, Sim M. Development and validation of the trauma-specific emotional counting Stroop paradigm for fMRI study. J Affect Disord 2024; 350:118-124. [PMID: 38163567 DOI: 10.1016/j.jad.2023.12.081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 12/23/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The emotional-counting Stroop (ecStroop) is a cognitive task to evaluate emotional information processing. This study aimed to develop a trauma-specific ecStroop protocol for firefighters and assess its validity as a functional magnetic resonance imaging (fMRI) activation paradigm. METHODS To develop the ecStroop protocol, trauma-related words for firefighters were selected from previous studies, and general negative and neutral words were matched corresponding to the number of letters and syllables, parts of speech, and frequency in the Korean language. The negative emotional valence of whole words was investigated in 520 healthy participants. To compare brain activation between three categories, 25 healthy individuals underwent fMRI during the ecStroop task. RESULTS Eight trauma-related words, eight general negative words, and sixteen neutral words were selected by emotional valence scores. The general negative words were related to increased activation in the right inferior and middle temporal gyrus, right medial frontal gyrus, and left superior frontal gyrus compared to the neutral words. When exposed to the trauma-related words, participants' brain activation was increased in the right inferior temporal gyrus, right medial frontal gyrus, left superior temporal gyrus, and left inferior frontal gyrus as compared to when exposed to the neutral words. LIMITATIONS The fact that all participants in the phase 2 fMRI study were male could limit generalization to all genders. CONCLUSIONS These findings suggest that the ecStroop paradigm successfully activated the brain regions for emotional processing. This paradigm could be valuable in assessing the trauma-specific neural changes in firefighters.
Collapse
Affiliation(s)
- Ji Sun Hong
- Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea
| | - Dayoung Lee
- National Center for Disaster and Trauma, National Center for Mental Health, Seoul, Republic of Korea
| | - Doug Hyun Han
- Department of Psychiatry, College of Medicine, Chung-Ang University, Seoul, Republic of Korea.
| | - Minyoung Sim
- National Center for Disaster and Trauma, National Center for Mental Health, Seoul, Republic of Korea.
| |
Collapse
|
5
|
Peterson M, Braga RM, Floris DL, Nielsen JA. Evidence for a Compensatory Relationship between Left- and Right-Lateralized Brain Networks. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.08.570817. [PMID: 38106130 PMCID: PMC10723397 DOI: 10.1101/2023.12.08.570817] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The two hemispheres of the human brain are functionally asymmetric. At the network level, the language network exhibits left-hemisphere lateralization. While this asymmetry is widely replicated, the extent to which other functional networks demonstrate lateralization remains a subject of Investigation. Additionally, it is unknown how the lateralization of one functional network may affect the lateralization of other networks within individuals. We quantified lateralization for each of 17 networks by computing the relative surface area on the left and right cerebral hemispheres. After examining the ecological, convergent, and external validity and test-retest reliability of this surface area-based measure of lateralization, we addressed two hypotheses across multiple datasets (Human Connectome Project = 553, Human Connectome Project-Development = 343, Natural Scenes Dataset = 8). First, we hypothesized that networks associated with language, visuospatial attention, and executive control would show the greatest lateralization. Second, we hypothesized that relationships between lateralized networks would follow a dependent relationship such that greater left-lateralization of a network would be associated with greater right-lateralization of a different network within individuals, and that this pattern would be systematic across individuals. A language network was among the three networks identified as being significantly left-lateralized, and attention and executive control networks were among the five networks identified as being significantly right-lateralized. Next, correlation matrices, an exploratory factor analysis, and confirmatory factor analyses were used to test the second hypothesis and examine the organization of lateralized networks. We found general support for a dependent relationship between highly left- and right-lateralized networks, meaning that across subjects, greater left lateralization of a given network (such as a language network) was linked to greater right lateralization of another network (such as a ventral attention/salience network) and vice versa. These results further our understanding of brain organization at the macro-scale network level in individuals, carrying specific relevance for neurodevelopmental conditions characterized by disruptions in lateralization such as autism and schizophrenia.
Collapse
Affiliation(s)
- Madeline Peterson
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
| | - Rodrigo M. Braga
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Dorothea L. Floris
- Methods of Plasticity Research, Department of Psychology, University of Zurich, Zurich, Switzerland
- Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands
| | - Jared A. Nielsen
- Department of Psychology, Brigham Young University, Provo, UT, 84602, USA
- Neuroscience Center, Brigham Young University, Provo, UT, 84604, USA
| |
Collapse
|
6
|
Gao C, Uchitomi H, Miyake Y. Influence of Multimodal Emotional Stimulations on Brain Activity: An Electroencephalographic Study. SENSORS (BASEL, SWITZERLAND) 2023; 23:4801. [PMID: 37430714 PMCID: PMC10221168 DOI: 10.3390/s23104801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 05/05/2023] [Accepted: 05/12/2023] [Indexed: 07/12/2023]
Abstract
This study aimed to reveal the influence of emotional valence and sensory modality on neural activity in response to multimodal emotional stimuli using scalp EEG. In this study, 20 healthy participants completed the emotional multimodal stimulation experiment for three stimulus modalities (audio, visual, and audio-visual), all of which are from the same video source with two emotional components (pleasure or unpleasure), and EEG data were collected using six experimental conditions and one resting state. We analyzed power spectral density (PSD) and event-related potential (ERP) components in response to multimodal emotional stimuli, for spectral and temporal analysis. PSD results showed that the single modality (audio only/visual only) emotional stimulation PSD differed from multi-modality (audio-visual) in a wide brain and band range due to the changes in modality and not from the changes in emotional degree. The most pronounced N200-to-P300 potential shifts occurred in monomodal rather than multimodal emotional stimulations. This study suggests that emotional saliency and sensory processing efficiency perform a significant role in shaping neural activity during multimodal emotional stimulation, with the sensory modality being more influential in PSD. These findings contribute to our understanding of the neural mechanisms involved in multimodal emotional stimulation.
Collapse
Affiliation(s)
- Chenguang Gao
- Department of Computer Science, Tokyo Institute of Technology, Yokohama 226-8502, Japan; (H.U.); (Y.M.)
| | | | | |
Collapse
|
7
|
Elliott MV, Esmail SAS, Weiner KS, Johnson SL. Neuroanatomical Correlates of Emotion-Related Impulsivity. Biol Psychiatry 2023; 93:566-574. [PMID: 36244800 PMCID: PMC9898470 DOI: 10.1016/j.biopsych.2022.07.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Emotion-related impulsivity (ERI) refers to chronically poor self-control during periods of strong emotion. ERI robustly predicts psychiatric disorders and related problems, yet its neuroanatomical correlates are largely unknown. We tested whether local brain morphometry in targeted brain regions that integrate emotion and control could explain ERI severity. METHODS One hundred twenty-two adults (ages 18-55 years) with internalizing or externalizing psychopathology completed a structural magnetic resonance imaging (MRI) scan, the Three-Factor Impulsivity Index, and the Structured Clinical Interview for DSM-5. The Three-Factor Impulsivity Index measures two types of ERI and a third type of impulsivity not linked to emotion. Cortical reconstruction yielded cortical thickness and local gyrification measurements. We evaluated whether morphometry in the orbitofrontal cortex (OFC), insula, amygdala, and nucleus accumbens was associated with ERI severity. Hypotheses and analyses were preregistered. RESULTS Lower cortical gyrification in the right lateral OFC was associated with high ERI severity in a full, preregistered model. Separate examinations of local gyrification and cortical thickness also showed a positive association between gyrification in the left lateral OFC and ERI. An integrated measure of hemispheric imbalance in lateral OFC gyrification (right < left) correlated with ERI severity. These findings were specific to ERI and did not appear with non-emotion-related impulsivity. CONCLUSIONS Local gyrification in the lateral OFC is associated with ERI severity. The current findings fit with existing theories of OFC function, strengthen the connections between the transdiagnostic literature in psychiatry and neuroscience, and may guide future treatment development.
Collapse
Affiliation(s)
- Matthew V Elliott
- Department of Psychology, University of California at Berkeley, Berkeley, California.
| | - Serajh A S Esmail
- Department of Psychology, University of California at Berkeley, Berkeley, California
| | - Kevin S Weiner
- Department of Psychology, University of California at Berkeley, Berkeley, California; Helen Wills Neuroscience Institute, University of California at Berkeley, Berkeley, California
| | - Sheri L Johnson
- Department of Psychology, University of California at Berkeley, Berkeley, California
| |
Collapse
|
8
|
Jääskeläinen IP, Kosonogov V. Perspective taking in the human brain: complementary evidence from neuroimaging studies with media-based naturalistic stimuli and artificial controlled paradigms. Front Hum Neurosci 2023; 17:1051934. [PMID: 36875238 PMCID: PMC9975546 DOI: 10.3389/fnhum.2023.1051934] [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: 09/23/2022] [Accepted: 02/27/2023] [Indexed: 02/17/2023] Open
Abstract
Perception and interpretation of various types of events and information in life crucially depend on one's perspective. A specific perspective can be explicitly adopted, for example, via instructing an experimental subject, implicitly via a priori information given to subjects, and by subjects' personality traits or cultural background. The neural basis of perspective taking has been addressed in a number of recent neuroimaging studies, some of which have used movies and narratives as media-based stimuli to pursue a holistic understanding of the phenomenon under ecologically valid conditions. Results across these studies suggest that the human brain flexibly adapts to support the information-processing needs of different perspectives, however, also that inferior temporal-occipital areas and posterior-medial parietal areas are engaged across different perspectives. These findings are complemented by studies that have investigated specific aspects of perspective taking with highly controlled experimental designs. They have disclosed involvement of the temporoparietal junction in visual perspective taking and the importance of the affective component of the pain matrix when empathizing with others' pain. Identification with the protagonists also seems to matter, as dorsomedial vs. ventromedial prefrontal areas are recruited when the protagonist is dissimilar vs. similar to self. Finally, as a translational aspect, perspective taking can, under certain conditions, serve as an effective emotion regulation technique, wherein lateral and medial regions of the prefrontal cortex seem to support reappraisal processes. Together, findings from studies with media-based stimuli and more traditional paradigms complement each other to gain a comprehensive understanding of the neural basis of perspective taking.
Collapse
Affiliation(s)
- Iiro P Jääskeläinen
- Brain and Mind Laboratory, Department of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland
| | - Vladimir Kosonogov
- International Laboratory of Social Neurobiology, Institute of Cognitive Neuroscience, HSE University, Moscow, Russia
| |
Collapse
|
9
|
Sonkusare S, Qiong D, Zhao Y, Liu W, Yang R, Mandali A, Manssuer L, Zhang C, Cao C, Sun B, Zhan S, Voon V. Frequency dependent emotion differentiation and directional coupling in amygdala, orbitofrontal and medial prefrontal cortex network with intracranial recordings. Mol Psychiatry 2022; 28:1636-1646. [PMID: 36460724 DOI: 10.1038/s41380-022-01883-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 11/04/2022] [Accepted: 11/10/2022] [Indexed: 12/04/2022]
Abstract
The amygdala, orbitofrontal cortex (OFC) and medial prefrontal cortex (mPFC) form a crucial part of the emotion circuit, yet their emotion induced responses and interactions have been poorly investigated with direct intracranial recordings. Such high-fidelity signals can uncover precise spectral dynamics and frequency differences in valence processing allowing novel insights on neuromodulation. Here, leveraging the unique spatio-temporal advantages of intracranial electroencephalography (iEEG) from a cohort of 35 patients with intractable epilepsy (with 71 contacts in amygdala, 31 in OFC and 43 in mPFC), we assessed the spectral dynamics and interactions between the amygdala, OFC and mPFC during an emotional picture viewing task. Task induced activity showed greater broadband gamma activity in the negative condition compared to positive condition in all the three regions. Similarly, beta activity was increased in the negative condition in the amygdala and OFC while decreased in mPFC. Furthermore, beta activity of amygdala showed significant negative association with valence ratings. Critically, model-based computational analyses revealed unidirectional connectivity from mPFC to the amygdala and bidirectional communication between OFC-amygdala and OFC-mPFC. Our findings provide direct neurophysiological evidence for a much-posited model of top-down influence of mPFC over amygdala and a bidirectional influence between OFC and the amygdala. Altogether, in a relatively large sample size with human intracranial neuronal recordings, we highlight valence-dependent spectral dynamics and dyadic coupling within the amygdala-mPFC-OFC network with implications for potential targeted neuromodulation in emotion processing.
Collapse
Affiliation(s)
- Saurabh Sonkusare
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Ding Qiong
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Yijie Zhao
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.,Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Ministry of Education, Shanghai, China
| | - Wei Liu
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruoqi Yang
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Alekhya Mandali
- Department of Psychiatry, University of Cambridge, Cambridge, UK.,Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,MRC Brain Network Dynamics Unit, University of Oxford, Oxford, UK
| | - Luis Manssuer
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, University of Cambridge, Cambridge, UK.,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Chencheng Zhang
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Cao
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bomin Sun
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shikun Zhan
- Department of Neurosurgery, Centre for Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, UK. .,Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
| |
Collapse
|
10
|
Right Hemisphere Dominance for Unconscious Emotionally Salient Stimuli. Brain Sci 2021; 11:brainsci11070823. [PMID: 34206214 PMCID: PMC8301990 DOI: 10.3390/brainsci11070823] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 06/13/2021] [Accepted: 06/18/2021] [Indexed: 12/30/2022] Open
Abstract
The present review will focus on evidence demonstrating the prioritization in visual processing of fear-related signals in the absence of awareness. Evidence in hemianopic patients without any form of blindsight or affective blindsight in classical terms will be presented, demonstrating that fearful faces, via a subcortical colliculo-pulvinar-amygdala pathway, have a privileged unconscious visual processing and facilitate responses towards visual stimuli in the intact visual field. Interestingly, this fear-specific implicit visual processing in hemianopics has only been observed after lesions to the visual cortices in the left hemisphere, while no effect was found in patients with damage to the right hemisphere. This suggests that the subcortical route for emotional processing in the right hemisphere might provide a pivotal contribution to the implicit processing of fear, in line with evidence showing enhanced right amygdala activity and increased connectivity in the right colliculo-pulvinar-amygdala pathway for unconscious fear-conditioned stimuli and subliminal fearful faces. These findings will be discussed within a theoretical framework that considers the amygdala as an integral component of a constant and continuous vigilance system, which is preferentially invoked with stimuli signaling ambiguous environmental situations of biological relevance, such as fearful faces.
Collapse
|
11
|
Panico F, De Marco S, Sagliano L, D'Olimpio F, Grossi D, Trojano L. Brain hemodynamic response in Examiner-Examinee dyads during spatial short-term memory task: an fNIRS study. Exp Brain Res 2021; 239:1607-1616. [PMID: 33751169 PMCID: PMC8144143 DOI: 10.1007/s00221-021-06073-0] [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: 06/09/2020] [Accepted: 02/23/2021] [Indexed: 12/20/2022]
Abstract
The Corsi Block-Tapping test (CBT) is a measure of spatial working memory (WM) in clinical practice, requiring an examinee to reproduce sequences of cubes tapped by an examiner. CBT implies complementary behaviors in the examiners and the examinees, as they have to attend a precise turn taking. Previous studies demonstrated that the Prefrontal Cortex (PFC) is activated during CBT, but scarce evidence is available on the neural correlates of CBT in the real setting. We assessed PFC activity in dyads of examiner–examinee participants while completing the real version of CBT, during conditions of increasing and exceeding workload. This procedure allowed to investigate whether brain activity in the dyads is coordinated. Results in the examinees showed that PFC activity was higher when the workload approached or reached participants’ spatial WM span, and lower during workload conditions that were largely below or above their span. Interestingly, findings in the examiners paralleled the ones in the examinees, as examiners’ brain activity increased and decreased in a similar way as the examinees’ one. In the examiners, higher left-hemisphere activity was observed suggesting the likely activation of non-spatial WM processes. Data support a bell-shaped relationship between cognitive load and brain activity, and provide original insights on the cognitive processes activated in the examiner during CBT.
Collapse
Affiliation(s)
- Francesco Panico
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy.
| | - Stefania De Marco
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Laura Sagliano
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Francesca D'Olimpio
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Dario Grossi
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| | - Luigi Trojano
- Department of Psychology, University of Campania "Luigi Vanvitelli", Viale Ellittico 31, 81100, Caserta, Italy
| |
Collapse
|
12
|
Movies and narratives as naturalistic stimuli in neuroimaging. Neuroimage 2020; 224:117445. [PMID: 33059053 PMCID: PMC7805386 DOI: 10.1016/j.neuroimage.2020.117445] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 10/06/2020] [Accepted: 10/09/2020] [Indexed: 01/06/2023] Open
Abstract
Using movies and narratives as naturalistic stimuli in human neuroimaging studies has yielded significant advances in understanding of cognitive and emotional functions. The relevant literature was reviewed, with emphasis on how the use of naturalistic stimuli has helped advance scientific understanding of human memory, attention, language, emotions, and social cognition in ways that would have been difficult otherwise. These advances include discovering a cortical hierarchy of temporal receptive windows, which supports processing of dynamic information that accumulates over several time scales, such as immediate reactions vs. slowly emerging patterns in social interactions. Naturalistic stimuli have also helped elucidate how the hippocampus supports segmentation and memorization of events in day-to-day life and have afforded insights into attentional brain mechanisms underlying our ability to adopt specific perspectives during natural viewing. Further, neuroimaging studies with naturalistic stimuli have revealed the role of the default-mode network in narrative-processing and in social cognition. Finally, by robustly eliciting genuine emotions, these stimuli have helped elucidate the brain basis of both basic and social emotions apparently manifested as highly overlapping yet distinguishable patterns of brain activity.
Collapse
|