Brain connectivity最新文献_第6页

Brain Connectivity: A Journal of Clinical Neurology, Neuroscience, & Neuroimaging. 大脑连接》：临床神经学、神经科学和神经影像学杂志》（A Journal of Clinical Neurology, Neuroscience, & Neuroimaging）。

IF 3.4 3区医学

Brain connectivity Pub Date : 2024-03-01 DOI: 10.1089/brain.2024.29060.editorial

Paul Edison

引用次数: 0

Acknowledgment of Reviewers 2023. 鸣谢 2023 年审稿人。

IF 3.4 3区医学

Brain connectivity Pub Date : 2024-02-01 Epub Date: 2023-12-18 DOI: 10.1089/brain.2023.29058.ack

引用次数: 0

Attention Please! Unravelling the Link Between Brain Network Connectivity and Cognitive Attention Following Acquired Brain Injury: A Systematic Review of Structural and Functional Measures. 请注意!揭示获得性脑损伤后脑网络连接与认知注意之间的联系:结构和功能测量的系统回顾。

IF 2.4 3区医学

Brain connectivity Pub Date : 2024-02-01 Epub Date: 2024-01-09 DOI: 10.1089/brain.2023.0067

Athena Stein, Jacob R Thorstensen, Jonathan M Ho, Daniel P Ashley, Kartik K Iyer, Karen M Barlow

{"title":"Attention Please! Unravelling the Link Between Brain Network Connectivity and Cognitive Attention Following Acquired Brain Injury: A Systematic Review of Structural and Functional Measures.","authors":"Athena Stein, Jacob R Thorstensen, Jonathan M Ho, Daniel P Ashley, Kartik K Iyer, Karen M Barlow","doi":"10.1089/brain.2023.0067","DOIUrl":"10.1089/brain.2023.0067","url":null,"abstract":"Traumatic brain injury (TBI) and stroke are the most common causes of acquired brain injury (ABI), annually affecting 69 million and 15 million people, respectively. Following ABI, the relationship between brain network disruption and common cognitive issues including attention dysfunction is heterogenous. Using PRISMA guidelines, we systematically reviewed 43 studies published by February 2023 that reported correlations between attention and connectivity. Across all ages and stages of recovery, following TBI, greater attention was associated with greater structural efficiency within/between executive control network (ECN), salience network (SN), and default mode network (DMN) and greater functional connectivity (fc) within/between ECN and DMN, indicating DMN interference. Following stroke, greater attention was associated with greater structural connectivity (sc) within ECN; or greater fc within the dorsal attention network (DAN). In childhood ABI populations, decreases in structural network segregation were associated with greater attention. Longitudinal recovery from TBI was associated with normalization of DMN activity, and in stroke, normalization of DMN and DAN activity. Results improve clinical understanding of attention-related connectivity changes after ABI. Recommendations for future research include increased use of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to measure connectivity at the point of care, standardized attention and connectivity outcome measures and analysis pipelines, detailed reporting of patient symptomatology, and casual analysis of attention-related connectivity using brain stimulation.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"4-38"},"PeriodicalIF":2.4,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138450817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Feeling of Time Passing Is Associated with Recurrent Sustained Activity and Theta Rhythms Across the Cortex. 时间流逝的感觉与大脑皮层反复出现的持续活动和θ波节律有关。

IF 3.4 3区医学

Brain connectivity Pub Date : 2024-02-01 Epub Date: 2024-01-10 DOI: 10.1089/brain.2023.0010

Emma M Millon, Ali E Haddad, Han Yan M Chang, Laleh Najafizadeh, Tracey J Shors

{"title":"The Feeling of Time Passing Is Associated with Recurrent Sustained Activity and Theta Rhythms Across the Cortex.","authors":"Emma M Millon, Ali E Haddad, Han Yan M Chang, Laleh Najafizadeh, Tracey J Shors","doi":"10.1089/brain.2023.0010","DOIUrl":"10.1089/brain.2023.0010","url":null,"abstract":"Introduction: We are constantly estimating how much time has passed, and yet know little about the brain mechanisms through which this process occurs. In this pilot study, we evaluated so-called subjective time estimation with the temporal bisection task, while recording brain activity from electroencephalography (EEG). Methods: Nine adult participants were trained to distinguish between two durations of visual stimuli as either \"short\" (400 msec) or \"long\" (1600 msec). They were then presented with stimulus durations in between the long and short stimuli. EEG data from 128 electrodes were examined with a novel analytical method that identifies segments of sustained cortical activity during the task. Results: Participants tended to categorize intermediate durations as \"long\" more frequently than \"short\" and were thus experiencing time as moving faster while overestimating the amount of time passing. Their mean bisection point (during which frequency of selecting short vs. long is equal) was closer to the geometric mean of task stimuli (800 msec) rather than the arithmetic mean (1000 msec). In contrast, sustained brain activity occurred closer to the arithmetic mean. The recurrence rate of this activity was highly related to the bisection point, especially when analyzed within naturally occurring theta oscillations (4-8 Hz) (r = -0.90). Discussion: Sustained activity across the cortex within the theta range may reflect temporal durations, whereas its repeated appearance relates to the subjective feeling of time passing.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"39-47"},"PeriodicalIF":3.4,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138450818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dysregulated Salience Network Control over Default-Mode and Central-Executive Networks in Schizophrenia Revealed Using Stochastic Dynamical Causal Modeling. 利用随机动态因果建模揭示精神分裂症患者对默认模式和中枢执行网络控制失调的显著性网络。

IF 2.4 3区医学

Brain connectivity Pub Date : 2024-02-01 Epub Date: 2024-02-05 DOI: 10.1089/brain.2023.0054

Deepa S Thakuri, Puskar Bhattarai, Dean F Wong, Ganesh B Chand

{"title":"Dysregulated Salience Network Control over Default-Mode and Central-Executive Networks in Schizophrenia Revealed Using Stochastic Dynamical Causal Modeling.","authors":"Deepa S Thakuri, Puskar Bhattarai, Dean F Wong, Ganesh B Chand","doi":"10.1089/brain.2023.0054","DOIUrl":"10.1089/brain.2023.0054","url":null,"abstract":"Introduction: Neuroimaging studies suggest that the human brain consists of intrinsically organized, large-scale neural networks. Among these networks, the interplay among the default-mode network (DMN), salience network (SN), and central-executive network (CEN) has been widely used to understand the functional interaction patterns in health and disease. This triple network model suggests that the SN causally controls over the DMN and CEN in healthy individuals. This interaction is often referred to as SN's dynamic regulating mechanism. However, such interactions are not well understood in individuals with schizophrenia. Methods: In this study, we leveraged resting-state functional magnetic resonance imaging data from schizophrenia (n = 67) and healthy controls (n = 81) and evaluated the directional functional interactions among DMN, SN, and CEN using stochastic dynamical causal modeling methodology. Results: In healthy controls, our analyses replicated previous findings that SN regulates DMN and CEN activities (Mann-Whitney U test; p < 10-8). In schizophrenia, however, our analyses revealed a disrupted SN-based controlling mechanism over the DMN and CEN (Mann-Whitney U test; p < 10-16). Conclusions: These results indicate that the disrupted controlling mechanism of SN over the other two neural networks may be a candidate neuroimaging phenotype in schizophrenia.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"70-79"},"PeriodicalIF":2.4,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10890948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139073347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brain Connectivity: A Journal of Clinical Neurology, Neuroscience, & Neuroimaging. 大脑连接》：临床神经学、神经科学和神经影像学杂志》（A Journal of Clinical Neurology, Neuroscience, & Neuroimaging）。

IF 3.4 3区医学

Brain connectivity Pub Date : 2024-02-01 DOI: 10.1089/brain.2024.29059.editorial

Paul Edison

引用次数: 0

Language First, Cognition Later: Different Trajectories of Subcomponents of the Future-Reading Network in Processing Narratives from Kindergarten to Adolescence. 先语言，后认知：从幼儿园到青春期，未来阅读网络子组件在处理叙事时的不同轨迹。

IF 3.4 3区医学

Brain connectivity Pub Date : 2024-02-01 Epub Date: 2024-01-24 DOI: 10.1089/brain.2023.0012

Tzipi Horowitz-Kraus, Raya Meri, Scott K Holland, Rola Farah, Tamara Rohana, Narmeen Haj

{"title":"Language First, Cognition Later: Different Trajectories of Subcomponents of the Future-Reading Network in Processing Narratives from Kindergarten to Adolescence.","authors":"Tzipi Horowitz-Kraus, Raya Meri, Scott K Holland, Rola Farah, Tamara Rohana, Narmeen Haj","doi":"10.1089/brain.2023.0012","DOIUrl":"10.1089/brain.2023.0012","url":null,"abstract":"Narrative comprehension is a linguistic ability that emerges early in life and has a critical role in language development, reading acquisition, and comprehension. According to the Simple View of Reading model, reading is acquired through word decoding and linguistic comprehension. Here, within and between networks, functional connectivity in several brain networks supporting both language and reading abilities was examined from prereading to proficient reading age in 32 healthy children, ages 5-18 years, scanned annually while listening to stories over 12 years. Functional connectivity changes within and between the networks were assessed and compared between the years using hierarchical linear regression and were related to reading abilities. At prereading age, the networks related to basic language processing accounted for 32.5% of the variation of reading ability at reading age (at 12-14 years) (R2 = 0.325, p = 0.05). At age 17, more complex cognitive networks were involved and accounted for 97.4% of the variation in reading ability (R2 = 0.974, p = 0.022). Overall, networks composing the future-reading network are highly involved in processing narratives along development; however, networks related to semantic, phonological, and syntactic processing predict reading ability earlier in life, and more complex networks predict reading proficiency later in life.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"60-69"},"PeriodicalIF":3.4,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10890959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139541385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acknowledgment of Reviewers 2023. 鸣谢 2023 年审稿人。

IF 3.4 3区医学

Brain connectivity Pub Date : 2023-12-18 DOI: 10.1089/brain.2023.29058.ack

引用次数: 0

Acknowledgment of Reviewers 2023. 鸣谢 2023 年审稿人。

IF 3.4 3区医学

Brain connectivity Pub Date : 2023-12-13 DOI: 10.1089/jicm.2023.29127.ack

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Differential Effect of Global Signal Regression Between Awake and Anesthetized Conditions in Mice. 小鼠在清醒和麻醉状态下全局信号回归的差异效应

IF 3.4 3区医学

Brain connectivity Pub Date : 2023-12-08 DOI: 10.1089/brain.2023.0032

Da Wang, Hui Li, Mengyang Xu, Binshi Bo, Mengchao Pei, Zhifeng Liang, Garth J. Thompson

引用次数: 0