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MART(Splitting-Merging Assisted Reliable)Independent Component Analysis for Extracting Accurate Brain Functional Networks

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Neuroscience Bulletin 2024年第7期40卷 905-920页

作者： Xingyu He Vince D.Calhoun Yuhui Du School of Computer and Information Technology Shanxi UniversityTaiyuan 030006China Tri-Institutional Center for Translational Research in neuroimaging and Data Science Georgia State UniversityGeorgia Institute of TechnologyEmory UniversityAtlanta 30303USA

Functional networks(FNs)hold significant promise in understanding brain *** component analysis(ICA)has been applied in estimating FNs from functional magnetic resonance imaging(fMRI).However,determining an optimal model order for ICA remains challenging,leading to criticism about the reliability of FN ***,we propose a SMART(splitting-merging assisted reliable)ICA method that automatically extracts reliable FNs by clustering independent components(ICs)obtained from multi-model-order ICA using a simplified graph while providing linkages among FNs deduced from different-model *** extend SMART ICA to multi-subject fMRI analysis,validating its effectiveness using simulated and real fMRI *** on simulated data,the method accurately estimates both group-common and group-unique components and demonstrates robustness to *** two age-matched cohorts of resting fMRI data comprising 1,950 healthy subjects,the resulting reliable group-level FNs are greatly similar between the two cohorts,and interestingly the subject-specific FNs show progressive changes while age ***,both small-scale and large-scale brain FN templates are provided as benchmarks for future *** together,SMART ICA can automatically obtain reliable FNs in analyzing multi-subject fMRI data,while also providing linkages between different FNs.

关键词： Independent component analysis Functional magnetic resonance imaging-Brain functional networks Clustering Multi-model-order

Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

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Neuroscience Bulletin 2024年第7期40卷 981-991页

作者： Haiyang Geng Pengfei Xu Andre Aleman Shaozheng Qin Yue-Jia Luo State Key laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Tianqiao and Chrissy Chen Institute for Translational ResearchShanghai 200040China Beijing Key laboratory of Applied Experimental Psychology National Demonstration Center for Experimental Psychology Education(BNU)Faculty of PsychologyBeijing Normal UniversityBeijing 100875China Center for neuroimaging Shenzhen Institute of NeuroscienceShenzhen 518107China University of Groningen Department of Biomedical Sciences of Cells and SystemsSection Cognitive NeuroscienceUniversity Medical Center GroningenGroningenThe Netherlands Institute for Neuropsychological Rehabilitation University of Health and Rehabilitation SciencesQingdao 266113China Shenzhen Key laboratory of Affective and Social Neuroscience Magnetic Resonance ImagingCenter for Brain Disorders and Cognitive SciencesShenzhen UniversityShenzhen 518060China Chinese Institute for Brain Research Beijing 102206China

Emotion and executive control are often conceptualized as two distinct modes of human brain ***,however,is known about how the dynamic organization of large-scale functional brain networks that support flexible emotion processing and executive control,especially their *** amygdala and prefrontal systems have long been thought to play crucial roles in these *** advances in human neuroimaging studies have begun to delineate functional organization principles among the large-scale brain networks underlying emotion,executive control,and their ***,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 *** 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 *** model has important implications for understanding how the dynamic organization of complex brain systems and networks empowers flexible cognitive and affective functions.

关键词： Dynamic brain network Emotion Executive control Salience network Executive control network Default mode network

PLAU plays a functional role in driving lung squamous cell carcinoma metastasis

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Genes & Diseases 2024年第2期11卷 554-557页

作者： Pengbo Ning Fuyu Du Xiaocheng Gong Jingtong Yuan Caixia Ding Xilian Zhao Wei Li School of Life Science and Technology Xidian UniversityXi'anShaanxi 710071China Engineering Research Center of Molecular & neuroimaging Ministry of EducationXi'anShaanxi 710071China Department of Medical Oncology Zhongshan HospitalFudan UniversityShanghai 200032China Department of Pathology Shaanxi Provincial Tumor HospitalXi'an Jiaotong UniversityXi'anShaanxi 710061China

The high mortality of patients with lung squamous cell carcinoma(LUSC)results from metastasis rather than primary tumors,1 whereas the molecular pathogenesis of cancer metastasis remains poorly *** encodes urokinase-type plasminogen activator(uPA)which is closely related to tumor diagnosis,treatment target,and prognosis of patients.2.3 We previously predicted that PLAU is a key gene negatively associated with overall survival by integrated multidimensional analyses of The Cancer Genome Atlas(TCGA)datasets from 504 samples of LUSC tumor tissues and 46 samples of adjacent non-tumorous lung tissues.4 However,whether the role of PLAU contributes to the metastasis of LUC remains ***,we analyzed the association between uPA levels and LUSC and found that uPA levels were associated with pathological variations in LUSC patients.

关键词： metastasis lung squamous

Research progresses of resting-state functional MRI in mild cognitive impairment and Alzheimer's disease

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中国医学影像技术 2024年第8期40卷 1254-1257页

作者： DUAN Huanqin LI Linqin QIU Lihua Department of Radiology the Affiliated Hospital of North Sichuan Medical CollegeNanchong 637000China Department of Medical Imaging Center Second People's Hospital of YibinYibin 644000China School of Medical and Life Sciences Chengdu University of Traditional Chinese MedicineChengdu 611137China neuroimaging Big Data Research Center Clinical Medical Research and Transformation CenterSecond People's Hospital of YibinYibin 644000China

Alzheimer's disease(AD)is a prevalent neurodegenerative disease characterized by cognitive decline in the early *** cognitive impairment(MCI)is considered as an intermediate stage between normal aging and *** recent years,studies related to resting-state functional MRI(rs-fMRI)indicated that the occurrence and development process of MCI and AD might be closely linked to spontaneous brain activity and alterations in functional connectivity among brain regions,and rs-fMRI could provide important reference for specific diagnosis and early treatment of MCI and *** research progresses of rs-fMRI for MCI and AD were reviewed in this article.

关键词： Alzheimer disease cognition disorders magnetic resonance imaging

Ketamine use disorder:preclinical,clinical,and neuroimaging evidence to support proposed mechanisms of actions

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Intelligent Medicine 2022年第2期2卷 61-68页

作者： Leah Vines Diana Sotelo Allison Johnson Evan Dennis Peter Manza Nora D.Volkow Gene-Jack Wang laboratory of neuroimaging National Institute on Alcohol Abuse and AlcoholismNational Institutes of Health10 Center DrRm B2L124BethesdaMarylandUnited States

Ketamine,a noncompetitive N-methyl-D-aspartate(NMDA)receptor antagonist,has been exclusively used as an anesthetic in medicine and has led to new insights into the pathophysiology of neuropsychiatric *** studies have shown that low subanesthetic doses of ketamine produce antidepressant effects for individuals with ***,its use as a treatment for psychiatric disorders has been limited due to its reinforcing effects and high potential for diversion and *** studies have focused on understanding the molecular mechanisms underlying ketamine’s antidepressant effects,but a precise mechanism had yet to be *** we review different hypotheses for ketamine’s mechanism of action including the direct inhibition and disinhibition of NMDA receptors,aminomethylphosphonic acid receptors(AMPAR)activation,and heightened activation of monoaminergic *** proposed mechanisms are not mutually exclusive,and their combined influence may exert the observed structural and functional neural *** term use of ketamine induces brain structural,functional impairments,and neurodevelopmental effects in both rodents and *** misuse has increased rapidly in the past 20 years and is one of the most common addictive drugs used in *** proposed mechanisms of action and supporting neuroimaging data allow for the development of tools to identify‘biotypes’of ketamine use disorder(KUD)using machine learning approaches,which could inform intervention and treatment.

关键词： Ketamine neuroimaging N-methyl-D-aspartate Dopamine Serotonin Glutamatergic Gamma-aminobutyric acid

Functional near-infrared spectroscopy in non-invasive neuromodulation

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Neural Regeneration Research 2024年第7期19卷 1517-1522页

作者： Congcong Huo Gongcheng Xu Hui Xie Tiandi Chen Guangjian Shao Jue Wang Wenhao Li Daifa Wang Zengyong Li Beijing Advanced Innovation Center for Biomedical Engineering Key Laboratory for Biomechanics and Mechanobiology of Ministry of EducationSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Beijing Key laboratory of Rehabilitation Technical Aids for Old-Age Disability National Research Center for Rehabilitation Technical AidsBeijingChina School of Mechatronic Engineering and Automation Foshan UniversityFoshanGuangdong ProvinceChina School of Rehabilitation Engineering Beijing College of Social AdministrationBeijingChina Key laboratory of Neuro-functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs BeijingChina

Non-invasive cerebral neuromodulation technologies are essential for the reorganization of cerebral neural networks,which have been widely applied in the field of central neurological diseases,such as stroke,Parkinson’s disease,and mental *** significant advances have been made in neuromodulation technologies,the identification of optimal neurostimulation paramete rs including the co rtical target,duration,and inhibition or excitation pattern is still limited due to the lack of guidance for neural *** r,the neural mechanism unde rlying neuromodulation for improved behavioral performance remains poorly ***,advancements in neuroimaging have provided insight into neuromodulation *** near-infrared spectroscopy,as a novel non-invasive optical brain imaging method,can detect brain activity by measuring cerebral hemodynamics with the advantages of portability,high motion tole rance,and anti-electromagnetic *** functional near-infra red spectroscopy with neuromodulation technologies offe rs an opportunity to monitor the cortical response,provide realtime feedbac k,and establish a closed-loop strategy integrating evaluation,feedbac k,and intervention for neurostimulation,which provides a theoretical basis for development of individualized precise neuro *** aimed to summarize the advantages of functional near-infra red spectroscopy and provide an ove rview of the current research on functional near-infrared spectroscopy in transcranial magnetic stimulation,transcranial electrical stimulation,neurofeedback,and braincomputer ***,the future perspectives and directions for the application of functional near-infrared spectroscopy in neuromodulation are *** conclusion,functional near-infrared spectroscopy combined with neuromodulation may promote the optimization of central pellral reorganization to achieve better functional recovery form central nervous system

关键词： brain-computer interface cerebral neural networks functional near-infrared spectroscopy neural circuit neurofeedback neurological diseases neuromodulation non-invasive brain stimulation transcranial electrical stimulation transcranial electrical stimulation

Multimodal Fusion of Brain Imaging Data: Methods and Applications

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Machine Intelligence Research 2024年第1期21卷 136-152页

作者： Na Luo Weiyang Shi Zhengyi Yang Ming Song Tianzi Jiang Brainnetome Center and National laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Center for Excellence in Brain Science and Intelligence Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Research Center for Augmented Intelligence Zhejiang LaboratoryHangzhou 311100China

neuroimaging data typically include multiple modalities,such as structural or functional magnetic resonance imaging,dif-fusion tensor imaging,and positron emission tomography,which provide multiple views for observing and analyzing the *** lever-age the complementary representations of different modalities,multimodal fusion is consequently needed to dig out both inter-modality and intra-modality *** the exploited rich information,it is becoming popular to combine multiple modality data to ex-plore the structural and functional characteristics of the brain in both health and disease *** this paper,we first review a wide spectrum of advanced machine learning methodologies for fusing multimodal brain imaging data,broadly categorized into unsupervised and supervised learning *** by this,some representative applications are discussed,including how they help to under-stand the brain arealization,how they improve the prediction of behavioral phenotypes and brain aging,and how they accelerate the biomarker exploration of brain ***,we discuss some exciting emerging trends and important future ***,we intend to offer a comprehensive overview of brain imaging fusion methods and their successful applications,along with the chal-lenges imposed by multi-scale and big data,which arises an urgent demand on developing new models and platforms.

关键词： Multimodal fusion supervised learning unsupervised learning brain atlas cognition brain disorders

Brain Impairment in Chronic Schizophrenia Patients with Depressive Symptoms Differs from Brain Impairment in Chronic Depression Patients with Psychotic Symptoms

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Chinese Medical Journal 2018年第5期131卷 620-621页

作者： Feng Ji Ce Chen Min Chen Li-Na Wang Jie Li Choan-Jun Zhuo Psychiatric neuroimaging laboratory Tianjin Anding Hospital Tianjin Mental Health Center Tianjin 300222 China

Numerous studies have identified many specific structural alterations in the brains of patients with schizophrenia and depression. Schizophrenia is associated with gray matter volume （GMV） impairment in certain key brain regions, which progresses in the first 2-3 years after the first episode of schizophrenic symptoms,m Schizophrenia has also been shown to be associated with concurrent white matter （WM） alterations. The fasciculus uncinatus and arcuate fasciculus have been proposed to be a part of the quality index for schizophrenia.12j Similar to schizophrenia, major depressive disorder （MDD） is associated with a GMV reduction and aberrant WM. GMV reductions in the bilateral middle temporal gyrus left ventral medial prefrontal gyrus, left lingual gyms, and dorsal medial prefrontal gyrus have been correlated with the severity of the depressive symptoms. Schizophrenic and depressive symptoms usually coexist in schizophrenia and MDD. In this pilot study, we compared the GMV and WM differences in the brains of chronic schizophrenia patients with depressive symptoms with those of chronic depression patients with psychotic symptoms.

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Impaired brain white matter and functional networks in healthy individuals with auditory verbal hallucinations

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Chinese Medical Journal 2019年第5期132卷 606-608页

作者： Xiao-Dong Lin De-Guo Jiang Lang-Lang Cheng Ce Chen Chong-Guang Lin Chuan-Jun Zhuo Department of Psychiatry Psychiatric-Neuroimaging-Genetics Laboratory Wenzhou seventh People's Hospital WenzhouZhejiang 325000China Department of Psychiatric-neuroimaging-Genetics and Comorbidity laboratory Tianjin Mental Health Centre Tianjin Anding HospitalTianjin 300222China

To the Editor:Auditory verbal hallucinations (AVHs) are experienced concomitantly with various neuropsychiatric diagnoses including schizophrenia,bipolar disorder,major depression disorder,post-traumatic stress disord... 详细信息

关键词： brain white matter functional networks auditory verbal hallucinations