Title |
BASCO: a toolbox for task-related functional connectivity
|
---|---|
Published in |
Frontiers in Systems Neuroscience, September 2015
|
DOI | 10.3389/fnsys.2015.00126 |
Pubmed ID | |
Authors |
Martin Göttlich, Frederike Beyer, Ulrike M. Krämer |
Abstract |
BASCO (BetA Series COrrelation) is a user-friendly MATLAB toolbox with a graphical user interface (GUI) which allows investigating functional connectivity in event-related functional magnetic resonance imaging (fMRI) data. Connectivity analyses extend and compliment univariate activation analyses since the actual interaction between brain regions involved in a task can be explored. BASCO supports seed-based functional connectivity as well as brain network analyses. Although there are a multitude of advanced toolboxes for investigating resting-state functional connectivity, BASCO is the first toolbox for evaluating task-related whole-brain functional connectivity employing a large number of network nodes. Thus, BASCO allows investigating task-specific rather than resting-state networks. Here, we summarize the main features of the toolbox and describe the methods and algorithms. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 38% |
Germany | 1 | 13% |
Unknown | 4 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Scientists | 3 | 38% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Hungary | 1 | <1% |
Germany | 1 | <1% |
Switzerland | 1 | <1% |
Hong Kong | 1 | <1% |
Austria | 1 | <1% |
United States | 1 | <1% |
Unknown | 126 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 32% |
Researcher | 26 | 20% |
Student > Master | 17 | 13% |
Professor > Associate Professor | 6 | 5% |
Student > Doctoral Student | 6 | 5% |
Other | 21 | 16% |
Unknown | 14 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 39 | 30% |
Psychology | 34 | 26% |
Agricultural and Biological Sciences | 6 | 5% |
Physics and Astronomy | 6 | 5% |
Engineering | 5 | 4% |
Other | 16 | 12% |
Unknown | 26 | 20% |