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Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control 被引量:2
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作者 Haiyang Geng Pengfei Xu +2 位作者 andre aleman Shaozheng Qin Yue-Jia Luo 《Neuroscience Bulletin》 SCIE CAS CSCD 2024年第7期981-991,共11页
Emotion and executive control are often conceptualized as two distinct modes of human brain functioning.Little,however,is known about how the dynamic organization of large-scale functional brain networks that support ... Emotion and executive control are often conceptualized as two distinct modes of human brain functioning.Little,however,is known about how the dynamic organization of large-scale functional brain networks that support flexible emotion processing and executive control,especially their interactions.The amygdala and prefrontal systems have long been thought to play crucial roles in these processes.Recent advances in human neuroimaging studies have begun to delineate functional organization principles among the large-scale brain networks underlying emotion,executive control,and their interactions.Here,we propose a dynamic brain network model to account for interactive competition between emotion and executive control by reviewing recent resting-state and task-related neuroimaging studies using network-based approaches.In this model,dynamic interactions among the executive control network,the salience network,the default mode network,and sensorimotor networks enable dynamic processes of emotion and support flexible executive control of multiple processes;neural oscillations across multiple frequency bands and the locus coeruleus−norepinephrine pathway serve as communicational mechanisms underlying dynamic synergy among large-scale functional brain networks.This model has important implications for understanding how the dynamic organization of complex brain systems and networks empowers flexible cognitive and affective functions. 展开更多
关键词 Dynamic brain network EMOTION Executive control Salience network Executive control network Default mode network
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Joint Multi-modal Parcellation of the Human Striatum:Functions and Clinical Relevance 被引量:1
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作者 Xiaojin Liu Simon B.Eickhoff +14 位作者 Felix Hoffstaedter Sarah Genon Svenja Caspers Kathrin Reetz Imis Dogan Claudia R.Eickhoff Ji Chen Julian Caspers Niels Reuter Christian Mathys andre aleman Renaud Jardri Valentin Riedl Iris E.Sommer Kaustubh R.Patil 《Neuroscience Bulletin》 SCIE CAS CSCD 2020年第10期1123-1136,共14页
The human striatum is essential for both lowand high-level functions and has been implicated in the pathophysiology of various prevalent disorders,including Parkinson's disease(PD)and schizophrenia(SCZ).It is know... The human striatum is essential for both lowand high-level functions and has been implicated in the pathophysiology of various prevalent disorders,including Parkinson's disease(PD)and schizophrenia(SCZ).It is known to consist of structurally and functionally divergent subdivisions.However,previous parcellations are based on a single neuroimaging modality,leaving the extent of the multi-modal organization of the striatum unknown.Here,we investigated the organization of the striatum across three modalities—resting-state functional connectivity,probabilistic diffusion tractography,and structural covariance—to provide a holistic convergent view of its structure and function.We found convergent clusters in the dorsal,dorsolateral,rostral,ventral,and caudal striatum.Functional characterization revealed the anterior striatum to be mainly associated with cognitive and emotional functions,while the caudal striatum was related to action execution.Interestingly,significant structural atrophy in the rostral and ventral striatum was common to both PD and SCZ,but atrophy in the dorsolateral striatum was specifically attributable to PD.Our study revealed a cross-modal convergent organization of the striatum,representing a fundamental topographical model that can be useful for investigating structural and functional variability in aging and in clinical conditions. 展开更多
关键词 STRIATUM MULTI-MODAL Connectivity-based parcellation Convergent clusters Voxel-based morphometry Parkinson's disease SCHIZOPHRENIA
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