Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Goni, Joaquin"'
Autor:
Nguyen, Nghi, Hou, Tao, Amico, Enrico, Zheng, Jingyi, Huang, Huajun, Kaplan, Alan D., Petri, Giovanni, Goñi, Joaquín, Kaufmann, Ralph, Zhao, Yize, Duong-Tran, Duy, Shen, Li
Higher-order properties of functional magnetic resonance imaging (fMRI) induced connectivity have been shown to unravel many exclusive topological and dynamical insights beyond pairwise interactions. Nonetheless, whether these fMRI-induced higher-ord
Externí odkaz:
http://arxiv.org/abs/2407.05060
Autor:
Duong-Tran, Duy, Nguyen, Nghi, Mu, Shizhuo, Chen, Jiong, Bao, Jingxuan, Xu, Frederick, Garai, Sumita, Cadena-Pico, Jose, Kaplan, Alan David, Chen, Tianlong, Zhao, Yize, Shen, Li, Goñi, Joaquín
In systems and network neuroscience, many common practices in brain connectomic analysis are often not properly scrutinized. One such practice is mapping a predetermined set of sub-circuits, like functional networks (FNs), onto subjects' functional c
Externí odkaz:
http://arxiv.org/abs/2406.18531
Autor:
Moghaddam, Mahdi, Dzemidzic, Mario, Guerrero, Daniel, Liu, Mintao, Alessi, Jonathan, Plawecki, Martin H., Harezlak, Jaroslaw, Kareken, David, Goñi, Joaquín
Human brain function dynamically adjusts to ever-changing stimuli from the external environment. Studies characterizing brain functional reconfiguration are nevertheless scarce. Here we present a principled mathematical framework to quantify brain fu
Externí odkaz:
http://arxiv.org/abs/2405.15905
Autor:
Abbas, Kausar, Liu, Mintao, Wang, Michael, Duong-Tran, Duy, Tipnis, Uttara, Amico, Enrico, Kaplan, Alan D., Dzemidzic, Mario, Kareken, David, Ances, Beau M., Harezlak, Jaroslaw, Goñi, Joaquín
Functional connectomes (FCs) contain pairwise estimations of functional couplings based on pairs of brain regions activity. FCs are commonly represented as correlation matrices that are symmetric positive definite (SPD) lying on or inside the SPD man
Externí odkaz:
http://arxiv.org/abs/2212.06394
Recent developments in network neuroscience have highlighted the importance of developing techniques for analyzing and modeling brain networks. A particularly powerful approach for studying complex neural systems is to formulate generative models tha
Externí odkaz:
http://arxiv.org/abs/2202.05389
Autor:
Chiêm, Benjamin, Abbas, Kausar, Amico, Enrico, Duong-Tran, Duy Anh, Crevecoeur, Frédéric, Goñi, Joaquín
Functional connectivity quantifies the statistical dependencies between the activity of brain regions, measured using neuroimaging data such as functional MRI BOLD time series. The network representation of functional connectivity, called a Functiona
Externí odkaz:
http://arxiv.org/abs/2011.10079
Autor:
Tipnis, Uttara, Abbas, Kausar, Tran, Elizabeth, Amico, Enrico, Shen, Li, Kaplan, Alan D., Goñi, Joaquín
The assessment of brain fingerprints has emerged in the recent years as an important tool to study individual differences and to infer quality of neuroimaging datasets. Studies so far have mainly focused on connectivity fingerprints between different
Externí odkaz:
http://arxiv.org/abs/2011.05212
Autor:
Abbas, Kausar, Liu, Mintao, Venkatesh, Manasij, Amico, Enrico, Kaplan, Alan David, Ventresca, Mario, Pessoa, Luiz, Harezlak, Jaroslaw, Goñi, Joaquín
Publikováno v:
Brain Connectivity, 2021
Background: Functional connectomes (FCs), have been shown to provide a reproducible individual fingerprint, which has opened the possibility of personalized medicine for neuro/psychiatric disorders. Thus, developing accurate ways to compare FCs is es
Externí odkaz:
http://arxiv.org/abs/2003.05393
Autor:
Brzyski, Damian, Hu, Xixi, Goni, Joaquin, Ances, Beau, Randolph, Timothy W., Harezlak, Jaroslaw
Classical scalar-response regression methods treat covariates as a vector and estimate a corresponding vector of regression coefficients. In medical applications, however, regressors are often in a form of multi-dimensional arrays. For example, one m
Externí odkaz:
http://arxiv.org/abs/2001.11548
Autor:
Abbas, Kausar, Amico, Enrico, Svaldi, Diana Otero, Tipnis, Uttara, Duong-Tran, Duy Anh, Liu, Mintao, Rajapandian, Meenusree, Harezlak, Jaroslaw, Ances, Beau M., Goñi, Joaquín
It has been well established that Functional Connectomes (FCs), as estimated from functional MRI (fMRI) data, have an individual fingerprint that can be used to identify an individual from a population (subject-identification). Although identificatio
Externí odkaz:
http://arxiv.org/abs/2001.06605