{"id":2008,"date":"2023-11-07T15:55:08","date_gmt":"2023-11-07T06:55:08","guid":{"rendered":"https:\/\/bicr.atr.jp\/cbi\/?page_id=2008"},"modified":"2023-11-13T15:51:54","modified_gmt":"2023-11-13T06:51:54","slug":"software","status":"publish","type":"page","link":"https:\/\/bicr.atr.jp\/cbi\/software\/?lang=en","title":{"rendered":"Software and Datasets"},"content":{"rendered":"<h3>Software<\/h3>\n<ul>\n<li><a href=\"http:\/\/vbmeg.atr.jp\/?lang=en\">VBMEG<\/a><br \/>\nEstimate and visualize brain activities from MEG and\/or EEG data. It can use various prior information on brain activities to improve their estimation accuracy. It can also visualize signal flows across brain regions.<\/li>\n<\/ul>\n<ul>\n<li><a href=\"https:\/\/bicr.atr.jp\/cbi\/sparse_estimation\/index.html\">Sparase Estimation Toolbox<\/a><br \/>\nBuild a classification or regression model by automatically discarding non-relevant brain activities.<\/li>\n<\/ul>\n<ul>\n<li><a href=\"https:\/\/bicr.atr.jp\/~takeda\/STeP.html\">SpatioTemporal Pattern estimation (STeP) toolbox<\/a><br \/>\nEstimate repetitive spatiotemporal patterns from resting-state brain activity data<\/li>\n<\/ul>\n<ul>\n<li><a href=\"https:\/\/bicr.atr.jp\/~takeda\/CWE.html\">Common Waveform Estimation (CWE) toolbox<\/a><br \/>\nEstimate waveforms common across trials from trial data<\/li>\n<\/ul>\n<ul>\n<li><a id=\"sorm\" href=\"https:\/\/bicr.atr.jp\/\/~takeda\/SORM.html\">Sensor array Optimization based on Resolution Matrix (SORM) toolbox<\/a><br \/>\nDesign a sensor array of optically pumped magnetometers for accurately estimating the brain activity at target regions<\/li>\n<\/ul>\n<h3>Datasets<\/h3>\n<ul>\n<li><a href=\"https:\/\/bicr-resource.atr.jp\/mulds\/\">MULTI-DIMENSIONAL SAMPLING OF INDIVIDUAL BRAINS (MULDS): Multi-modal and multi-task human brain imaging dataset<\/a><br \/>\n\u2013 5 subjects<br \/>\n\u2013 Measurements: MEG+EEG, fMRI, NIRS(whole-head), T1-MRI, T2-MRI, diffusion MRI<br \/>\n\u2013 Tasks: resting, face, language, audio-visual<\/li>\n<\/ul>\n<ul>\n<li><a href=\"https:\/\/vbmeg.atr.jp\/nictitaku209\/\">OPM-MEG, SQUID-MEG, and EEG (OSE) dataset<\/a><br \/>\nThe \u201cOPM-MEG, SQUID-MEG, and EEG (OSE)\u201d dataset aims to disseminate a new type of magnetoencephalography (MEG) device, an optically pumped magnetometer (OPM), which enables a wearable MEG measurement system. This dataset provides OPM-MEG, SQUID-MEG, and electroencephalography (EEG) data. Using this dataset, you can test the source imaging from the OPM-MEG data and compare the results with those from the conventional SQUID-MEG and EEG data.<br \/>\n&#8211; 5 subjects<br \/>\n&#8211; Measurements: OPM-MEG, SQUID-MEG, EEG, and T1-weighted image (T1)<br \/>\n&#8211; Tasks: Motor, Auditory, Somatosensory, and Resting-state<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Software VBMEG Estimate and visualize brain activities from MEG and\/or EEG data. It can use various prior info [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":6,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2008","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/2008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/comments?post=2008"}],"version-history":[{"count":8,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/2008\/revisions"}],"predecessor-version":[{"id":2048,"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/pages\/2008\/revisions\/2048"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/cbi\/wp-json\/wp\/v2\/media?parent=2008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}