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Ren L, Lv M, Wang X, Schwieter JW, Liu H. iTBS reveals the roles of domain-general cognitive control and language-specific brain regions during word formation rule learning. Cereb Cortex 2024; 34:bhae356. [PMID: 39233376 DOI: 10.1093/cercor/bhae356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 08/10/2024] [Accepted: 08/12/2024] [Indexed: 09/06/2024] Open
Abstract
Repeated exposure to word forms and meanings improves lexical knowledge acquisition. However, the roles of domain-general and language-specific brain regions during this process remain unclear. To investigate this, we applied intermittent theta burst stimulation over the domain-general (group left dorsolateral prefrontal cortex) and domain-specific (Group L IFG) brain regions, with a control group receiving sham intermittent theta burst stimulation. Intermittent theta burst stimulation effects were subsequently assessed in functional magnetic resonance imaging using an artificial word learning task which consisted of 3 learning phases. A generalized psychophysiological interaction analysis explored the whole brain functional connectivity, while dynamic causal modeling estimated causal interactions in specific brain regions modulated by intermittent theta burst stimulation during repeated exposure. Compared to sham stimulation, active intermittent theta burst stimulation improved word learning performance and reduced activation of the left insula in learning phase 2. Active intermittent theta burst stimulation over the domain-general region increased whole-brain functional connectivity and modulated effective connectivity between brain regions during repeated exposure. This effect was not observed when active intermittent theta burst stimulation was applied to the language-specific region. These findings suggest that the domain-general region plays a crucial role in word formation rule learning, with intermittent theta burst stimulation enhancing whole-brain connectivity and facilitating efficient information exchange between key brain regions during new word learning.
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Affiliation(s)
- Lanlan Ren
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
| | - Mengjie Lv
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
| | - Xiyuan Wang
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
| | - John W Schwieter
- Language Acquisition, Cognition, and Multilingualism Laboratory/Bilingualism Matters, Wilfrid Laurier University, 75 University Avenue West, Waterloo, Ontario N2L 3C5, Canada
- Department of Linguistics and Languages, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4M2, Canada
| | - Huanhuan Liu
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Liaoning Normal University, 850 Huanghe Road, Shahekou District, Liaoning Province, Dalian 116029, China
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2
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Cui J, Li G, Zhang M, Xu J, Qi H, Ji W, Wu F, Zhang Y, Jiang F, Hu Y, Zhang W, Wei X, Manza P, Volkow ND, Gao X, Wang GJ, Zhang Y. Associations between body mass index, sleep-disordered breathing, brain structure, and behavior in healthy children. Cereb Cortex 2023; 33:10087-10097. [PMID: 37522299 PMCID: PMC10656948 DOI: 10.1093/cercor/bhad267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/30/2023] [Accepted: 07/01/2023] [Indexed: 08/01/2023] Open
Abstract
Pediatric overweight/obesity can lead to sleep-disordered breathing (SDB), abnormal neurological and cognitive development, and psychiatric problems, but the associations and interactions between these factors have not been fully explored. Therefore, we investigated the associations between body mass index (BMI), SDB, psychiatric and cognitive measures, and brain morphometry in 8484 children 9-11 years old using the Adolescent Brain Cognitive Development dataset. BMI was positively associated with SDB, and both were negatively correlated with cortical thickness in lingual gyrus and lateral orbitofrontal cortex, and cortical volumes in postcentral gyrus, precentral gyrus, precuneus, superior parietal lobule, and insula. Mediation analysis showed that SDB partially mediated the effect of overweight/obesity on these brain regions. Dimensional psychopathology (including aggressive behavior and externalizing problem) and cognitive function were correlated with BMI and SDB. SDB and cortical volumes in precentral gyrus and insula mediated the correlations between BMI and externalizing problem and matrix reasoning ability. Comparisons by sex showed that obesity and SDB had a greater impact on brain measures, cognitive function, and mental health in girls than in boys. These findings suggest that preventing childhood obesity will help decrease SDB symptom burden, abnormal neurological and cognitive development, and psychiatric problems.
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Affiliation(s)
- Jianqi Cui
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Guanya Li
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Minmin Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Jiayu Xu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Haowen Qi
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Weibin Ji
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Feifei Wu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yaqi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Fukun Jiang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Yang Hu
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Wenchao Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
| | - Xiaorong Wei
- Kindergarten, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Xinbo Gao
- Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
- Chongqing Institute for Brain, Guangyang Bay Laboratory, Chongqing 400064, China
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, Bethesda, MD 20892, USA
| | - Yi Zhang
- Center for Brain Imaging, School of Life Science and Technology, Xidian University & Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, Xi'an, Shaanxi 710126, China
- International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China
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Medvediev VV, Oleksenko NP, Pichkur LD, Verbovska SA, Savosko SI, Draguntsova NG, Lontkovskyi YA, Vaslovych VV, Tsymbalyuk VI. Implantation Effect of a Fibrin Matrix Associated with Mesenchymal Wharton’s Jelly Stromal Cells on the Course of an Experimental Spinal Cord Injury. CYTOL GENET+ 2023. [DOI: 10.3103/s0095452723010073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
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4
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Amidzadeh Z, Yasami‐Khiabani S, Rahimi H, Bonakdar S, Shams D, Habibi‐Anbouhi M, Golkar M, Shokrgozar MA. Enhancement of keratinocyte growth factor potential in inducing adipose‐derived stem cells differentiation into keratinocytes by collagen‐targeting. J Cell Mol Med 2022; 26:5929-5942. [DOI: 10.1111/jcmm.17619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 10/17/2022] [Accepted: 10/28/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Zahra Amidzadeh
- National Cell Bank of Iran Pasteur Institute of Iran Tehran Iran
- Department of Parasitology Pasteur Institute of Iran Tehran Iran
| | | | - Hamzeh Rahimi
- Department of Molecular Medicine, Biotechnology Research Center Pasteur Institute of Iran Tehran Iran
| | - Shahin Bonakdar
- National Cell Bank of Iran Pasteur Institute of Iran Tehran Iran
| | - Davoud Shams
- National Cell Bank of Iran Pasteur Institute of Iran Tehran Iran
| | | | - Majid Golkar
- Department of Parasitology Pasteur Institute of Iran Tehran Iran
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5
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Medvediev VV, Oleksenko NP, Pichkur LD, Verbovska SA, Savosko SI, Draguntsova NG, Lontkovskiy YA, Vaslovych VV, Tsymbalyuk VI. Effect of Implantation of a Fibrin Matrix Associated with Neonatal Brain Cells on the Course of an Experimental Spinal Cord Injury. CYTOL GENET+ 2022. [DOI: 10.3103/s0095452722020086] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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6
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Borger A, Stadlmayr S, Haertinger M, Semmler L, Supper P, Millesi F, Radtke C. How miRNAs Regulate Schwann Cells during Peripheral Nerve Regeneration-A Systemic Review. Int J Mol Sci 2022; 23:3440. [PMID: 35408800 PMCID: PMC8999002 DOI: 10.3390/ijms23073440] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/16/2022] [Accepted: 03/18/2022] [Indexed: 01/18/2023] Open
Abstract
A growing body of studies indicate that small noncoding RNAs, especially microRNAs (miRNA), play a crucial role in response to peripheral nerve injuries. During Wallerian degeneration and regeneration processes, they orchestrate several pathways, in particular the MAPK, AKT, and EGR2 (KROX20) pathways. Certain miRNAs show specific expression profiles upon a nerve lesion correlating with the subsequent nerve regeneration stages such as dedifferentiation and with migration of Schwann cells, uptake of debris, neurite outgrowth and finally remyelination of regenerated axons. This review highlights (a) the specific expression profiles of miRNAs upon a nerve lesion and (b) how miRNAs regulate nerve regeneration by acting on distinct pathways and linked proteins. Shedding light on the role of miRNAs associated with peripheral nerve regeneration will help researchers to better understand the molecular mechanisms and deliver targets for precision medicine.
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Affiliation(s)
- Anton Borger
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Sarah Stadlmayr
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Maximilian Haertinger
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Lorenz Semmler
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Paul Supper
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Flavia Millesi
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
| | - Christine Radtke
- Department of Plastic, Reconstructive and Aesthetic Surgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria; (A.B.); (S.S.); (M.H.); (L.S.); (P.S.); (F.M.)
- Austrian Cluster for Tissue Regeneration, 1090 Vienna, Austria
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7
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Ji T, Li X, Chen J, Ren X, Mei L, Qiu Y, Zhang J, Wang S, Xu Z, Li H, Zheng L, Peng Y, Liu Y, Ni X, Tai J, Liu J. Brain function in children with obstructive sleep apnea: a resting-state fMRI study. Sleep 2021; 44:6155746. [PMID: 33675225 DOI: 10.1093/sleep/zsab047] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 02/16/2021] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVE To explore the neural difference between children with obstructive sleep apnea (OSA) and healthy controls, together with the relation between this difference and cognitive dysfunction of children with OSA. METHODS Twenty children with OSA (7.2 ± 3.1 years, apnea hypopnea index (AHI): 16.5 ± 16.6 events/h) and 29 healthy controls (7.7 ± 2.8 years, AHI: 1.7 ± 1.2 events/h) were recruited and matched with age, gender, and handedness. All children underwent resting-state fMRI (rs-fMRI) and T1-wighted imaging. Some children were sedated for MRI scanning. We compared amplitude of low frequency fluctuation (ALFF) and regional homogeneity (ReHo) of children with OSA with those of healthy controls. During resting-state, the former reflects the intensity of the spontaneous neural activities, whereas the latter reflects temporal similarity of the spontaneous neural activities within a local brain region. Pearson correlation analysis was performed between these features of rs-fMRI and cognitive scores among children with OSA. RESULTS Compared with controls, children with OSA showed decreased ALFF in the left angular gyrus but increased ALFF in the right insula, and decreased ReHo in the left medial superior frontal gyrus, right lingual gyrus, and left precuneus. Additionally, among children with OSA, the ReHo value in the right lingual gyrus was negatively correlated with FIQ and VIQ, whereas that in the left medial superior frontal gyrus was positively correlated with VIQ. CONCLUSIONS Children with OSA presented abnormal neural activities in some brain regions and impaired cognitive functions with the former possibly being the neural mechanism of the latter.
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Affiliation(s)
- Tingting Ji
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xiaodan Li
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Jun Chen
- Beijing Engineering Research Center of Pediatric Surgery, Engineering and Translational Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xuemin Ren
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medical Science and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the, People's Republic of China, Beijing, China
| | - Lin Mei
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yue Qiu
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Jie Zhang
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Shengcai Wang
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Zhifei Xu
- Department of Respiratory Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.,Department of Sleep Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Hongbin Li
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Li Zheng
- Department of Sleep Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yun Peng
- Department of Radiology, Imaging Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yue Liu
- Department of Radiology, Imaging Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xin Ni
- Department of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.,Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Head and Neck Surgery, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Jun Tai
- Department of Otorhinolaryngology, Children's Hospital, Capital Institute of Pediatrics, Beijing, China
| | - Jiangang Liu
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medical Science and Engineering, Beihang University, Beijing, China.,Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the, People's Republic of China, Beijing, China
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Gao J, Gu L, Min X, Lin P, Li C, Zhang Q, Rao N. Brain Fingerprinting and Lie Detection: A Study of Dynamic Functional Connectivity Patterns of Deception Using EEG Phase Synchrony Analysis. IEEE J Biomed Health Inform 2021; 26:600-613. [PMID: 34232900 DOI: 10.1109/jbhi.2021.3095415] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This study investigated the brain functional connectivity (FC) patterns related to lie detection (LD) tasks with the purpose of analyzing the underlying cognitive processes and mechanisms in deception. Using the guilty knowledge test protocol, 30 subjects were divided randomly into guilty and innocent groups, and their electroencephalogram (EEG) signals were recorded on 32 electrodes. Phase synchrony of EEG was analyzed between different brain regions. A few-trials-based relative phase synchrony (FTRPS) measure was proposed to avoid the false synchronization that occurs due to volume conduction. FTRPS values with a significantly statistical difference between two groups were employed to construct FC patterns of deception, and the FTRPS values from the FC networks were extracted as the features for the training and testing of the support vector machine. Finally, four more intuitive brain fingerprinting graphs (BFG) on delta, theta, alpha and beta bands were respectively proposed. The experimental results reveal that deceptive responses elicited greater oscillatory synchronization than truthful responses between different brain regions, which plays an important role in executing lying tasks. The functional connectivity in the BFG are mainly implicated in the visuo-spatial imagery, bottom-top attention and memory systems, work memory and episodic encoding, and top-down attention and inhibition processing. These may, in part, underlie the mechanism of communication between different brain cortices during lying. High classification accuracy demonstrates the validation of BFG to identify deception behavior, and suggests that the proposed FTRPS could be a sensitive measure for LD in the real application.
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9
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Valera-Bermejo JM, De Marco M, Mitolo M, McGeown WJ, Venneri A. Neuroanatomical and cognitive correlates of domain-specific anosognosia in early Alzheimer's disease. Cortex 2020; 129:236-246. [DOI: 10.1016/j.cortex.2020.04.026] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/27/2020] [Accepted: 04/28/2020] [Indexed: 02/08/2023]
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10
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Liu C, Jin Z, Ge X, Zhang Y, Xu H. Decellularized Annulus Fibrosus Matrix/Chitosan Hybrid Hydrogels with Basic Fibroblast Growth Factor for Annulus Fibrosus Tissue Engineering. Tissue Eng Part A 2019; 25:1605-1613. [PMID: 30929614 PMCID: PMC6919252 DOI: 10.1089/ten.tea.2018.0297] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
Low back pain caused by degenerative disc disease affects many people worldwide and brings huge economical burden. Thus, attentions have focused on annulus fibrosus (AF) tissue engineering for treatment of intervertebral disc degeneration. To engineer a functional replacement for the AF, it is important to fabricate scaffolds that mimic the structural and mechanical properties of native tissue. AF-derived stem cells are promising seed cells for AF tissue engineering due to their tissue specificity. In the present study, decellularized AF matrix (DAFM)/chitosan hybrid hydrogels were fabricated using genipin as a crosslinker. AF stem cells were cultured on hydrogel scaffolds with or without basic fibroblast growth factor (bFGF), and cell proliferation, morphology, gene expression, and AF tissue synthesis were examined. Overall, more collagen-I, collagen-II, and aggrecan were secreted by AF stem cells grown on hydrogels with bFGF compared to those without. These results support the application of DAFM/chitosan hybrid hydrogels as an appropriate candidate for AF tissue engineering. Furthermore, incorporation of bFGF into hydrogels promoted AF-related tissue synthesis.
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Affiliation(s)
- Chen Liu
- Department of Orthopaedics, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Zhongxing Jin
- Department of Orthopaedics, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Xin Ge
- Department of Orthopaedics, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Yu Zhang
- Department of Orthopaedics, Yijishan Hospital of Wannan Medical College, Wuhu, China
| | - Hongguang Xu
- Department of Orthopaedics, Yijishan Hospital of Wannan Medical College, Wuhu, China
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Yu S, Liu H, Li K, Qin Z, Qin X, Zhu P, Li Z. Rapid characterization of the absorbed constituents in rat serum after oral administration and action mechanism of Naozhenning granule using LC–MS and network pharmacology. J Pharm Biomed Anal 2019; 166:281-290. [DOI: 10.1016/j.jpba.2019.01.020] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 12/01/2018] [Accepted: 01/12/2019] [Indexed: 12/20/2022]
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