Independent component analysis of high-resolution imaging data identifies distinct functional domains

NeuroImage ◽  
2007 ◽  
Vol 34 (1) ◽  
pp. 94-108 ◽  
Author(s):  
Jürgen Reidl ◽  
Jens Starke ◽  
David B. Omer ◽  
Amiram Grinvald ◽  
Hartwig Spors
Keyword(s):  
High Resolution ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Functional Domains ◽  
High Resolution Imaging ◽  
Imaging Data ◽  
Resolution Imaging

scholarly journals NIRS-ICA: A MATLAB Toolbox for Independent Component Analysis Applied in fNIRS Studies

2021 ◽  
Vol 15 ◽  
Author(s):  
Yang Zhao ◽  
Pei-Pei Sun ◽  
Fu-Lun Tan ◽  
Xin Hou ◽  
Chao-Zhe Zhu
Keyword(s):  
Independent Component Analysis ◽  
Neuronal Activity ◽  
Near Infrared ◽  
Component Analysis ◽  
Independent Component ◽  
Imaging Data ◽  
Matlab Toolbox ◽  
Functional Near Infrared Spectroscopy ◽  
Source Selection ◽  
Brain Imaging Data

Independent component analysis (ICA) is a multivariate approach that has been widely used in analyzing brain imaging data. In the field of functional near-infrared spectroscopy (fNIRS), its promising effectiveness has been shown in both removing noise and extracting neuronal activity-related sources. The application of ICA remains challenging due to its complexity in usage, and an easy-to-use toolbox dedicated to ICA processing is still lacking in the fNIRS community. In this study, we propose NIRS-ICA, an open-source MATLAB toolbox to ease the difficulty of ICA application for fNIRS studies. NIRS-ICA incorporates commonly used ICA algorithms for source separation, user-friendly GUI, and quantitative evaluation metrics assisting source selection, which facilitate both removing noise and extracting neuronal activity-related sources. The options used in the processing can also be reported easily, which promotes using ICA in a more reproducible way. The proposed toolbox is validated and demonstrated based on both simulative and real fNIRS datasets. We expect the release of the toolbox will extent the application for ICA in the fNIRS community.

scholarly journals Archival VLT/NaCo multiplicity investigation of exoplanet host stars

2018 ◽  
Vol 620 ◽  
pp. A102 ◽  
Author(s):  
J. Dietrich ◽  
C. Ginski
Keyword(s):  
High Resolution ◽  
Detection Limits ◽  
Indirect Detection ◽  
Detection Methods ◽  
High Resolution Imaging ◽  
Imaging Data ◽  
Primary Star ◽  
Resolution Imaging ◽  
Background Object ◽  
Host Stars

Context. The influence of stellar multiplicity on planet formation is not yet well determined. Most planets are found using indirect detection methods via the small radial velocity or photometric variations of the primary star. These indirect detection methods are not sensitive to wide stellar companions. High-resolution imaging is thus needed to identify potential (sub)stellar companions to these stars. Aims. In this study we aim to determine the (sub)stellar multiplicity status of exoplanet host stars, that were not previously investigated for stellar multiplicity in the literature. For systems with non-detections we provide detailed detection limits to make them accessible for further statistical analysis. Methods. For this purpose we have employed previously unpublished high-resolution imaging data taken with VLT/NACO in a wide variety of different scientific programs and publicly accessible in the ESO archive. We used astrometric and theoretical population synthesis to determine whether detected companion candidates are likely to be bound or are merely chance-projected background objects. Results. We provide detailed detection limits for 39 systems and investigate 29 previously unknown companion candidates around five systems. In addition, we show for the first time that the previously known companion candidate around HD 204313 is likely a background object. By comparison with secondary epochs of 2MASS data we show that the companion candidates around GJ 176 and HD 40307, as well as two of the sources around HD 85390, are likely background objects. For HD 113538 and HD 190984, as well as multiple further companion candidates around HD 85390, further observational data is required to test common proper motion of the companion candidates.

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