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Gaze and arrows automatically trigger attentional shifts. Neuroimaging studies have identified a commonality in the spatial distribution of the neural activation involved in such attentional shifts. However, it remains unknown whether these activations occur with common temporal profiles. To investigate this issue, magnetoencephalography (MEG) was used to evaluate neural activation involved in attentional shifts induced by gaze and arrows. MEG source reconstruction analyses revealed that the superior temporal sulcus and the inferior frontal gyrus were commonly activated after 200ms, in response to directional versus non-directional cues. Regression analyses further revealed that the magnitude of brain activity in these areas and in the bilateral occipital cortex was positively related to the effect of attentional shift on reaction times under both the gaze and the arrow conditions. The results also revealed that some brain regions were activated specifically in response to directional versus non-directional gaze or arrow cues at the 350-400ms time window. These results suggest that the neural mechanisms underlying attentional shifts induced by gaze and arrows share commonalities in their spatial distributions and temporal profiles, with some spatial differences at later time stages.
Pubmed ID: 25064015 RIS Download
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Software package for analysis of brain imaging data sequences. Sequences can be a series of images from different cohorts, or time-series from same subject. Current release is designed for analysis of fMRI, PET, SPECT, EEG and MEG.
View all literature mentionsInteractive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5 and higher under Linux, Unix, Windows, and Mac OS X (Matlab 7+ recommended). EEGLAB provides an interactive graphic user interface (GUI) allowing users to flexibly and interactively process their high-density EEG and other dynamic brain data using independent component analysis (ICA) and/or time/frequency analysis (TFA), as well as standard averaging methods. EEGLAB also incorporates extensive tutorial and help windows, plus a command history function that eases users'' transition from GUI-based data exploration to building and running batch or custom data analysis scripts. EEGLAB offers a wealth of methods for visualizing and modeling event-related brain dynamics, both at the level of individual EEGLAB ''datasets'' and/or across a collection of datasets brought together in an EEGLAB ''studyset.'' For experienced Matlab users, EEGLAB offers a structured programming environment for storing, accessing, measuring, manipulating and visualizing event-related EEG data. For creative research programmers and methods developers, EEGLAB offers an extensible, open-source platform through which they can share new methods with the world research community by publishing EEGLAB ''plug-in'' functions that appear automatically in the EEGLAB menu of users who download them. For example, novel EEGLAB plug-ins might be built and released to ''pick peaks'' in ERP or time/frequency results, or to perform specialized import/export, data visualization, or inverse source modeling of EEG, MEG, and/or ECOG data. EEGLAB Features * Graphic user interface * Multiformat data importing * High-density data scrolling * Defined EEG data structure * Open source plug-in facility * Interactive plotting functions * Semi-automated artifact removal * ICA & time/frequency transforms * Many advanced plug-in toolboxes * Event & channel location handling * Forward/inverse head/source modeling
View all literature mentionsSoftware for image processing, analysis, and editing. The software includes features such as touch capabilities, a customizable toolbar, 2D and 3D image merging, and Cloud access and options.
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