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Zhao Z, Lu J, Wu J. Fiber Tractography-Based Cortical Language Mapping for Speech Output. World Neurosurg 2023; 175:151-152. [PMID: 37105893 DOI: 10.1016/j.wneu.2023.03.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Affiliation(s)
- Zehao Zhao
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China
| | - Junfeng Lu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China
| | - Jinsong Wu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China
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Yuan B, Xie H, Wang Z, Xu Y, Zhang H, Liu J, Chen L, Li C, Tan S, Lin Z, Hu X, Gu T, Lu J, Liu D, Wu J. The domain-separation language network dynamics in resting state support its flexible functional segregation and integration during language and speech processing. Neuroimage 2023; 274:120132. [PMID: 37105337 DOI: 10.1016/j.neuroimage.2023.120132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 04/05/2023] [Accepted: 04/21/2023] [Indexed: 04/29/2023] Open
Abstract
Modern linguistic theories and network science propose that language and speech processing are organized into hierarchical, segregated large-scale subnetworks, with a core of dorsal (phonological) stream and ventral (semantic) stream. The two streams are asymmetrically recruited in receptive and expressive language or speech tasks, which showed flexible functional segregation and integration. We hypothesized that the functional segregation of the two streams was supported by the underlying network segregation. A dynamic conditional correlation approach was employed to construct framewise time-varying language networks and k-means clustering was employed to investigate the temporal-reoccurring patterns. We found that the framewise language network dynamics in resting state were robustly clustered into four states, which dynamically reconfigured following a domain-separation manner. Spatially, the hub distributions of the first three states highly resembled the neurobiology of speech perception and lexical-phonological processing, speech production, and semantic processing, respectively. The fourth state was characterized by the weakest functional connectivity and was regarded as a baseline state. Temporally, the first three states appeared exclusively in limited time bins (∼15%), and most of the time (> 55%), state 4 was dominant. Machine learning-based dFC-linguistics prediction analyses showed that dFCs of the four states significantly predicted individual linguistic performance. These findings suggest a domain-separation manner of language network dynamics in resting state, which forms a dynamic "meta-network" framework to support flexible functional segregation and integration during language and speech processing.
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Affiliation(s)
- Binke Yuan
- Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University), Ministry of Education, China; Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China.
| | - Hui Xie
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Department of Psychology, The University of Hong Kong, Hong Kong, China
| | - Zhihao Wang
- CNRS - Centre d'Economie de la Sorbonne, Panthéon-Sorbonne University, France
| | - Yangwen Xu
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento 38123, Italy
| | - Hanqing Zhang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Jiaxuan Liu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Lifeng Chen
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Chaoqun Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Shiyao Tan
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Zonghui Lin
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Xin Hu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Tianyi Gu
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Junfeng Lu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Dongqiang Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, China; Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Province, Dalian, PR China.
| | - Jinsong Wu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China; Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
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Cheng S, Qiu X, Li S, Mo L, Xu F, Zhang D. Different Roles of the Left and Right Ventrolateral Prefrontal Cortex in Cognitive Reappraisal: An Online Transcranial Magnetic Stimulation Study. Front Hum Neurosci 2022; 16:928077. [PMID: 35754771 PMCID: PMC9226322 DOI: 10.3389/fnhum.2022.928077] [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: 04/25/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
The ventrolateral prefrontal cortex (VLPFC) plays a pivotal role in cognitive reappraisal. Previous studies suggested a functional asymmetry of the bilateral VLPFC, but the evidence is still insufficient during cognitive reappraisal. In this study, we conducted an online single-pulse transcranial magnetic stimulation (spTMS) to investigate the causal and distinct roles of the left and right VLPFC in reappraisal. Participants were instructed to reappraise (down-regulate) or attend to pictures depicting social exclusion scenarios while the spTMS was applied over the left or right VLPFC of the participants’ brains. The results showed that spTMS of either the left or the right VLPFC would increase reappraisal difficulty. Meanwhile, the outcome of reappraisal (measured by self-reported negative feelings) significantly deteriorated when the right (but not the left) VLPFC was temporally interrupted by spTMS, while the verbal fluency during oral reporting of the reappraisal strategy was significantly reduced when the left VLPFC was interrupted by spTMS. Taken together, these findings provide causal evidence for the involvement of left and right VLPFC with distinct roles: while the left VLPFC is responsible for the linguistic especially semantic process of generating and selecting appraisals according to the goal of emotion regulation, the right VLPFC plays a critical role in inhibiting inappropriate negative emotions and thoughts generated by the effective scenarios. These findings deepen our understanding of the neurocognitive mechanism of emotion regulation.
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Affiliation(s)
- Si Cheng
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.,School of Psychology, Shenzhen University, Shenzhen, China
| | - Xiufu Qiu
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Sijin Li
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Licheng Mo
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Feng Xu
- Shenzhen Yingchi Technology Co., Ltd., Shenzhen, China
| | - Dandan Zhang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.,Shenzhen-Hong Kong Institute of Brain Science, Shenzhen, China
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Yuan B, Zhang N, Gong F, Wang X, Yan J, Lu J, Wu J. Longitudinal assessment of network reorganizations and language recovery in postoperative patients with glioma. Brain Commun 2022; 4:fcac046. [PMID: 35415604 PMCID: PMC8994117 DOI: 10.1093/braincomms/fcac046] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 12/13/2021] [Accepted: 04/02/2022] [Indexed: 12/22/2022] Open
Abstract
For patients with glioma located in or adjacent to the linguistic eloquent cortex, awake surgery with an emphasis on the preservation of language function is preferred. However, the brain network basis of postoperative linguistic functional outcomes remains largely unknown. In this work, 34 patients with left cerebral gliomas who underwent awake surgery were assessed for language function and resting-state network properties before and after surgery. We found that there were 28 patients whose language function returned to at least 80% of the baseline scores within 3 months after surgery or to 85% within 6 months after surgery. For these patients, the spontaneous recovery of language function synchronized with changes within the language and cognitive control networks, but not with other networks. Specifically, compared with baseline values, language functions and global network properties were the worst within 1 month after surgery and gradually recovered within 6 months after surgery. The recovery of connections was tumour location dependent and was attributed to both ipsihemispheric and interhemispheric connections. In contrast, for six patients whose language function did not recover well, severe network disruptions were observed before surgery and persisted into the chronic phase. This study suggests the synchronization of functional network normalization and spontaneous language recovery in postoperative patients with glioma.
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Affiliation(s)
- Binke Yuan
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Nan Zhang
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fangyuan Gong
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xindi Wang
- National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
- Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China
- IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jing Yan
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Junfeng Lu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
| | - Jinsong Wu
- Glioma Surgery Division, Neurologic Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
- Brain Function Laboratory, Neurosurgical Institute of Fudan University, Shanghai, China
- Shanghai Key Laboratory of Brain Function Restoration and Neural Regeneration, Shanghai, China
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Lorca-Puls DL, Gajardo-Vidal A, Green DW, Price CJ. Reply: Broca's area: why was neurosurgery neglected for so long when seeking to re-establish the scientific truth? and Where is the speech production area? Evidence from direct cortical electrical stimulation mapping. Brain 2021; 144:e62. [PMID: 34403480 PMCID: PMC8370393 DOI: 10.1093/brain/awab177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 04/25/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Diego L Lorca-Puls
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
- Department of Speech, Language and Hearing Sciences, Faculty of Medicine, Universidad de Concepcion, Concepcion, Chile
| | - Andrea Gajardo-Vidal
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
- Faculty of Health Sciences, Universidad del Desarrollo, Concepcion, Chile
| | - David W Green
- Department of Experimental Psychology, University College London, London, UK
| | - Cathy J Price
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, London, UK
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