日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Arousal state alters brain network switching and moderates cognitive task performance

唤醒状态会改变大脑网络切换并调节认知任务表现。

Kundert-Obando, Kimberly; Pourmotabbed, Haatef; Kaur, Kamalpreet; Wang, Shiyu; Lagandara, Juan Gomez; Goodale, Sarah E; Martin, Caroline; Morgan, Victoria L; Englot, Dario J; Uddin, Lucina Q; Rubinov, Mikail; Chang, Catie

Astrocyte-induced internal state transitions reshape brainwide sensory, integrative, and motor computations

星形胶质细胞诱导的内部状态转变重塑全脑感觉、整合和运动计算

Lim, Jing-Xuan; Wei, Ziqiang; Narayan, Sujatha; Zhang, Yan; Hasseman, Jeremy P; Kolb, Ilya; Zheng, Jihong; Sheikhattar, Alireza; Mi, Xuelong; Zheng, Wei; Yang, Xueying; Beriashvili, Mariam; Fleishman, Greg; Wee, Caroline L; de Zeeuw, Chris; Yu, Guoqiang; Babadi, Behtash; Rubinov, Mikail; Looger, Loren L; Bergles, Dwight E; Fitzgerald, James E; Ahrens, Misha B

Imaging cellular activity simultaneously across all organs of a vertebrate reveals body-wide circuits.

同时对脊椎动物所有器官的细胞活动进行成像,可以揭示遍布全身的神经回路

Ruetten Virginia M S, Zheng Wei, Siwanowicz Igor, Mensh Brett D, Eddison Mark, Hu Amy, Chi Yunfeng, Lemire Andrew L, Guo Caiying, Kadobianskyi Mykola, Renz Marc, Lelek-Greskovic Sara, He Yisheng, Close Kari, Ihrke Gudrun, Dev Aparna, Petruncio Alyson, Wan Yinan, Engert Florian, Fishman Mark C, Judkewitz Benjamin, Rubinov Mikail, Keller Philipp J, Satou Chie, Yu Guoqiang, Tillberg Paul W, Sahani Maneesh, Ahrens Misha B

Distinctions between brain structure, complexity, and function. Comment on "Does the brain behave like a (complex) network? I. Dynamics" by Papo and Buldú

大脑结构、复杂性和功能之间的区别。评述 Papo 和 Buldú 的文章“大脑的行为是否像一个(复杂的)网络?I. 动力学”。

Rubinov, Mikail

Integration of estimated regional gene expression with neuroimaging and clinical phenotypes at biobank scale

在生物样本库规模上整合估计的区域基因表达、神经影像和临床表型。

Hoang, Nhung; Sardaripour, Neda; Ramey, Grace D; Schilling, Kurt; Liao, Emily; Chen, Yiting; Park, Jee Hyun; Bledsoe, Xavier; Landman, Bennett A; Gamazon, Eric R; Benton, Mary Lauren; Capra, John A; Rubinov, Mikail

Time-resolved correlation of distributed brain activity tracks E-I balance and accounts for diverse scale-free phenomena

时间分辨的分布式脑活动相关性能够追踪情绪智力平衡,并解释多种无标度现象。

Nanda, Aditya; Johnson, Graham W; Mu, Yu; Ahrens, Misha B; Chang, Catie; Englot, Dario J; Breakspear, Michael; Rubinov, Mikail

Unbiased and efficient sampling of timeseries reveals redundancy of brain network and gradient structure

对时间序列进行无偏且高效的采样揭示了大脑网络和梯度结构的冗余性

Nanda, Aditya; Rubinov, Mikail

A brainstem integrator for self-location memory and positional homeostasis in zebrafish

斑马鱼脑干中负责自我定位记忆和位置稳态的整合器

Yang, En; Zwart, Maarten F; James, Ben; Rubinov, Mikail; Wei, Ziqiang; Narayan, Sujatha; Vladimirov, Nikita; Mensh, Brett D; Fitzgerald, James E; Ahrens, Misha B

Network connectivity in primary generalized tonic-clonic seizures

原发性全身强直-阵挛性癫痫发作中的网络连接性

McGuinness, Ian; Abou-Khalil, Bassel; Rubinov, Mikail; Gallagher, Martin J

Correspondence between evoked and intrinsic functional brain network configurations

诱发和内在功能性脑网络配置之间的对应关系

Bolt, Taylor; Nomi, Jason S; Rubinov, Mikail; Uddin, Lucina Q