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Sato W, Kochiyama T, Uono S, Yoshikawa S, Toichi M. Direction of Amygdala-Neocortex Interaction During Dynamic Facial Expression Processing. Cereb Cortex 2017; 27:1878-1890. [PMID: 26908633 DOI: 10.1093/cercor/bhw036] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Dynamic facial expressions of emotion strongly elicit multifaceted emotional, perceptual, cognitive, and motor responses. Neuroimaging studies revealed that some subcortical (e.g., amygdala) and neocortical (e.g., superior temporal sulcus and inferior frontal gyrus) brain regions and their functional interaction were involved in processing dynamic facial expressions. However, the direction of the functional interaction between the amygdala and the neocortex remains unknown. To investigate this issue, we re-analyzed functional magnetic resonance imaging (fMRI) data from 2 studies and magnetoencephalography (MEG) data from 1 study. First, a psychophysiological interaction analysis of the fMRI data confirmed the functional interaction between the amygdala and neocortical regions. Then, dynamic causal modeling analysis was used to compare models with forward, backward, or bidirectional effective connectivity between the amygdala and neocortical networks in the fMRI and MEG data. The results consistently supported the model of effective connectivity from the amygdala to the neocortex. Further increasing time-window analysis of the MEG demonstrated that this model was valid after 200 ms from the stimulus onset. These data suggest that emotional processing in the amygdala rapidly modulates some neocortical processing, such as perception, recognition, and motor mimicry, when observing dynamic facial expressions of emotion.
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Affiliation(s)
- Wataru Sato
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine and
| | - Takanori Kochiyama
- Brain Activity Imaging Center, Advanced Telecommunications Research Institute International, Soraku-gun, Kyoto 619-0288, Japan
| | - Shota Uono
- Department of Neurodevelopmental Psychiatry, Habilitation and Rehabilitation, Graduate School of Medicine and
| | - Sakiko Yoshikawa
- Kokoro Research Center, Kyoto University, Sakyo-ku, Kyoto 606-8501, Japan
| | - Motomi Toichi
- Faculty of Human Health Science, Graduate School of Medicine, Kyoto University, Sakyo-ku, Kyoto 606-8507, Japan
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Han K, Chapman SB, Krawczyk DC. Altered Amygdala Connectivity in Individuals with Chronic Traumatic Brain Injury and Comorbid Depressive Symptoms. Front Neurol 2015; 6:231. [PMID: 26581959 PMCID: PMC4631949 DOI: 10.3389/fneur.2015.00231] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 10/19/2015] [Indexed: 01/04/2023] Open
Abstract
Depression is one of the most common psychiatric conditions in individuals with chronic traumatic brain injury (TBI). Though depression has detrimental effects in TBI and network dysfunction is a "hallmark" of TBI and depression, there have not been any prior investigations of connectivity-based neuroimaging biomarkers for comorbid depression in TBI. We utilized resting-state functional magnetic resonance imaging to identify altered amygdala connectivity in individuals with chronic TBI (8 years post-injury on average) exhibiting comorbid depressive symptoms (N = 31), relative to chronic TBI individuals having minimal depressive symptoms (N = 23). Connectivity analysis of these participant sub-groups revealed that the TBI-plus-depressive symptoms group showed relative increases in amygdala connectivity primarily in the regions that are part of the salience, somatomotor, dorsal attention, and visual networks (p voxel < 0.01, p cluster < 0.025). Relative increases in amygdala connectivity in the TBI-plus-depressive symptoms group were also observed within areas of the limbic-cortical mood-regulating circuit (the left dorsomedial and right dorsolateral prefrontal cortices and thalamus) and the brainstem. Further analysis revealed that spatially dissociable patterns of correlation between amygdala connectivity and symptom severity according to subtypes (Cognitive and Affective) of depressive symptoms (p voxel < 0.01, p cluster < 0.025). Taken together, these results suggest that amygdala connectivity may be a potentially effective neuroimaging biomarker for comorbid depressive symptoms in chronic TBI.
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Affiliation(s)
- Kihwan Han
- Center for BrainHealth®, School of Behavioral and Brain Sciences, University of Texas at Dallas , Dallas, TX , USA
| | - Sandra B Chapman
- Center for BrainHealth®, School of Behavioral and Brain Sciences, University of Texas at Dallas , Dallas, TX , USA
| | - Daniel C Krawczyk
- Center for BrainHealth®, School of Behavioral and Brain Sciences, University of Texas at Dallas , Dallas, TX , USA ; Department of Psychiatry, University of Texas Southwestern Medical Center , Dallas, TX , USA
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Law N, Smith ML, Greenberg M, Bouffet E, Taylor MD, Laughlin S, Malkin D, Liu F, Moxon-Emre I, Scantlebury N, Mabbott D. Executive function in paediatric medulloblastoma: The role of cerebrocerebellar connections. J Neuropsychol 2015; 11:174-200. [DOI: 10.1111/jnp.12082] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2014] [Revised: 06/12/2015] [Indexed: 01/18/2023]
Affiliation(s)
- Nicole Law
- Program in Neuroscience and Mental Health; Hospital for Sick Children; Toronto Ontario Canada
- Department of Psychology; Collaborative Program in Neuroscience; University of Toronto; Ontario Canada
| | - Mary Lou Smith
- Department of Psychology; Collaborative Program in Neuroscience; University of Toronto; Ontario Canada
- Department of Psychology; Hospital for Sick Children; Toronto Ontario Canada
| | - Mark Greenberg
- Pediatric Oncology Group of Ontario; Toronto Ontario Canada
- Division of Hematology/Oncology; Hospital for Sick Children; Toronto Ontario Canada
| | - Eric Bouffet
- Division of Hematology/Oncology; Hospital for Sick Children; Toronto Ontario Canada
| | - Michael D. Taylor
- Division of Neurosurgery; Arthur and Sonia Labatt Brain Tumor Research Centre; Hospital for Sick Children; Toronto Ontario Canada
- Program in Developmental and Stem Cell Biology; Hospital for Sick Children; Toronto Ontario Canada
| | - Suzanne Laughlin
- Diagnostic Imaging; Hospital for Sick Children; Toronto Ontario Canada
| | - David Malkin
- Pediatric Oncology Group of Ontario; Toronto Ontario Canada
- Division of Hematology/Oncology; Hospital for Sick Children; Toronto Ontario Canada
- Genetics and Genome Biology Program; Hospital for Sick Children; Toronto Ontario Canada
- Department of Pediatrics; University of Toronto; Ontario Canada
| | - Fang Liu
- Program in Neuroscience and Mental Health; Hospital for Sick Children; Toronto Ontario Canada
| | - Iska Moxon-Emre
- Program in Neuroscience and Mental Health; Hospital for Sick Children; Toronto Ontario Canada
- Department of Psychology; Collaborative Program in Neuroscience; University of Toronto; Ontario Canada
- Pediatric Oncology Group of Ontario; Toronto Ontario Canada
| | - Nadia Scantlebury
- Program in Neuroscience and Mental Health; Hospital for Sick Children; Toronto Ontario Canada
| | - Donald Mabbott
- Program in Neuroscience and Mental Health; Hospital for Sick Children; Toronto Ontario Canada
- Department of Psychology; Collaborative Program in Neuroscience; University of Toronto; Ontario Canada
- Division of Hematology/Oncology; Hospital for Sick Children; Toronto Ontario Canada
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Law N, Greenberg M, Bouffet E, Laughlin S, Taylor MD, Malkin D, Liu F, Moxon-Emre I, Scantlebury N, Skocic J, Mabbott D. Visualization and segmentation of reciprocal cerebrocerebellar pathways in the healthy and injured brain. Hum Brain Mapp 2015; 36:2615-28. [PMID: 25877482 DOI: 10.1002/hbm.22795] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Revised: 02/11/2015] [Accepted: 03/13/2015] [Indexed: 11/09/2022] Open
Abstract
Detailed information regarding the neuroanatomy of reciprocal cerebrocerebellar pathways is based on well-documented animal models. This knowledge has not yet been fully translated to humans, in that the structure of reciprocal cerebrocerebellar pathways connecting the cerebellum with frontal lobe has not been shown in its entirety. We investigated the impact of injury and age on cerebrocerebellar pathway microstructure using diffusion tensor imaging (DTI) and probabilistic tractography. We used medulloblastoma (MB) as an injury model due to the known impact of tumor/treatment on the cerebellum, one of the main nodes of cerebrocerebellar pathways. We delineated and segmented reciprocal cerebrocerebellar pathways connecting the cerebellum with frontal lobe in 38 healthy children (HC) and 34 children treated for MB, and compared pathway segment DTI measures between HC and MB and across three age cohorts: childhood, early adolescence, and late adolescence. Pathway compromise was evident for the MB group compared to HC, particularly within posterior segments (Ps<0.01). Though we found no age effect, group differences in microstructure were driven by pathway segment (posterior) and age cohort (adolescence), which may reflect the extent of injury to the posterior fossa following treatment for MB and age cohort differences in radiation treatment protocol in our sample. We have examined the microstructure of reciprocal cerebrocerebellar connections in the pediatric brain and have found that these pathways are injured in MB, a clinical population treated with surgery, radiation, and chemotherapy. Our findings support the late effects literature describing white matter injury emergence in the years following treatment for MB.
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Affiliation(s)
- Nicole Law
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Psychology, Collaborative Program in Neuroscience, University of Toronto, Toronto, Ontario, Canada.,Pediatric Oncology Group of Ontario, Toronto, Ontario, Canada
| | - Mark Greenberg
- Pediatric Oncology Group of Ontario, Toronto, Ontario, Canada.,Division of Hematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Eric Bouffet
- Division of Hematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Suzanne Laughlin
- Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Michael D Taylor
- Division of Neurosurgery, Arthur and Sonia Labatt Brain Tumor Research Centre, Hospital for Sick Children, Toronto, Ontario, Canada.,Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - David Malkin
- Pediatric Oncology Group of Ontario, Toronto, Ontario, Canada.,Division of Hematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Fang Liu
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Iska Moxon-Emre
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Psychology, Collaborative Program in Neuroscience, University of Toronto, Toronto, Ontario, Canada.,Pediatric Oncology Group of Ontario, Toronto, Ontario, Canada
| | - Nadia Scantlebury
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Jovanka Skocic
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Donald Mabbott
- Program in Neuroscience and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada.,Department of Psychology, Collaborative Program in Neuroscience, University of Toronto, Toronto, Ontario, Canada.,Division of Hematology/Oncology, Hospital for Sick Children, Toronto, Ontario, Canada
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Skouras S, Gray M, Critchley H, Koelsch S. Superficial amygdala and hippocampal activity during affective music listening observed at 3 T but not 1.5 T fMRI. Neuroimage 2014; 101:364-9. [DOI: 10.1016/j.neuroimage.2014.07.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Revised: 02/24/2014] [Accepted: 07/05/2014] [Indexed: 10/25/2022] Open
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Guo S, Kendrick KM, Zhang J, Broome M, Yu R, Liu Z, Feng J. Brain-wide functional inter-hemispheric disconnection is a potential biomarker for schizophrenia and distinguishes it from depression. Neuroimage Clin 2013; 2:818-26. [PMID: 24179833 PMCID: PMC3777798 DOI: 10.1016/j.nicl.2013.06.008] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2013] [Revised: 05/24/2013] [Accepted: 06/16/2013] [Indexed: 01/05/2023]
Abstract
Schizophrenia is associated with disconnectivity in the brain although it is still unclear whether changes within or between hemispheres are of greatest importance. In this paper, an analysis of 152 schizophrenia patients compared with 122 healthy controls was carried out. Comparisons were also made with 39 depression patients and 37 controls to examine whether brain-wide changes in inter- or intra-hemispheric functional connectivity are most associated with the disorder and can distinguish it from depression. The authors developed new techniques (first and second order symmetry) to investigate brain-wide changes in patients (45 regions per hemisphere) and their association with illness duration and symptom severity. Functional connectivity between the same regions in left- and right-hemispheres (first order symmetry) was significantly reduced as was that between the same pairs of regions in the left- and right-hemispheres (second order symmetry) or using all possible inter-hemispheric connections in schizophrenia patients. By contrast, no significant changes were found for brain-wide intra-hemispheric links. First order symmetry changes correlated significantly with positive and negative symptom severity for functional connections linked via the anterior commissure and negative symptoms for those linked via the corpus callosum. Support vector machine analysis revealed that inter-hemispheric symmetry changes had 73-81% accuracy in discriminating schizophrenia patients and either healthy controls or depressed patients. In conclusion, reduced brain-wide inter-hemispheric functional connectivity occurs in schizophrenia, is associated with symptom severity, and can discriminate schizophrenia patients from depressed ones or healthy controls. Brain-wide changes in inter-hemispheric connections may therefore provide a useful potential biomarker for schizophrenia.
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Affiliation(s)
- Shuixia Guo
- College of Mathematics and Computer Science, Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), Hunan Normal University, Changsha, Hunan 410081, PR China
| | - Keith M. Kendrick
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, PR China
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, PR China
| | - Jie Zhang
- Centre for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai 200433, PR China
| | - Matthew Broome
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
| | - Rongjun Yu
- School of Psychology and Center for Studies of Psychological Application, South China Normal University, Guangzhou, PR China
| | - Zhening Liu
- Institute of Mental Health, Second Xiangya Hospital, Central South University, Changsha 410011, PR China
| | - Jianfeng Feng
- Centre for Computational Systems Biology, School of Mathematical Sciences, Fudan University, Shanghai 200433, PR China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
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Hervé PY, Razafimandimby A, Vigneau M, Mazoyer B, Tzourio-Mazoyer N. Disentangling the brain networks supporting affective speech comprehension. Neuroimage 2012; 61:1255-67. [PMID: 22507230 DOI: 10.1016/j.neuroimage.2012.03.073] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2011] [Revised: 01/30/2012] [Accepted: 03/18/2012] [Indexed: 11/27/2022] Open
Abstract
Areas involved in social cognition, such as the medial prefrontal cortex (mPFC) and the left temporo-parietal junction (TPJ) appear to be active during the classification of sentences according to emotional criteria (happy, angry or sad, [Beaucousin et al., 2007]). These two regions are frequently co-activated in studies about theory of mind (ToM). To confirm that these regions constitute a coherent network during affective speech comprehension, new event-related functional magnetic resonance imaging data were acquired, using the emotional and grammatical-person sentence classification tasks on a larger sample of 51 participants. The comparison of the emotional and grammatical tasks confirmed the previous findings. Functional connectivity analyses established a clear demarcation between a "Medial" network, including the mPFC and TPJ regions, and a bilateral "Language" network, which gathered inferior frontal and temporal areas. These findings suggest that emotional speech comprehension results from interactions between language, ToM and emotion processing networks. The language network, active during both tasks, would be involved in the extraction of lexical and prosodic emotional cues, while the medial network, active only during the emotional task, would drive the making of inferences about the sentences' emotional content, based on their meanings. The left and right amygdalae displayed a stronger response during the emotional condition, but were seldom correlated with the other regions, and thus formed a third entity. Finally, distinct regions belonging to the Language and Medial networks were found in the left angular gyrus, where these two systems could interface.
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Affiliation(s)
- Pierre-Yves Hervé
- Univ. Bordeaux, Groupe d'Imagerie Neurofonctionnelle, UMR 5296, F-33000 Bordeaux, France.
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