Uploaded December 2025 | Updated September 2026, 3 hours ago
As fNIRS technology advances, researchers increasingly explore high-density (HD) optode arrangements for their potential to improve signal quality and spatial precision. But does a denser array always lead to better data—and if so, in what ways?
In this webinar, the speaker discusses her recent publication titled "High-density multidistance fNIRS enhances detection of brain activity during a word-color Stroop task" which presents a direct comparison of a HD and sparse array in both channel and image space during a dual-condition Stroop task. The talk covers experimental design, data processing, statistical comparison of array performance, and shared resources (array layouts, Stroop paradigm, and datasets), offering practical guidance for selecting array configurations based on study goals and cognitive load.
Key findings include the HD array's overall superior detection, localization, suitability for image reconstruction - while also demonstrating that sparse arrays remain effective for detecting strong activation patterns in channel space, underscoring that the optimal array design depends on both the research question and level of analysis.
As fNIRS technology advances, researchers increasingly explore high-density (HD) optode arrangements for their potential to improve signal quality and spatial precision. But does a denser array always lead to better data—and if so, in what ways?
In this webinar, the speaker discusses her recent publication titled "High-density multidistance fNIRS enhances detection of brain activity during a word-color Stroop task" which presents a direct comparison of a HD and sparse array in both channel and image space during a dual-condition Stroop task. The talk covers experimental design, data processing, statistical comparison of array performance, and shared resources (array layouts, Stroop paradigm, and datasets), offering practical guidance for selecting array configurations based on study goals and cognitive load.
Key findings include the HD array's overall superior detection, localization, suitability for image reconstruction - while also demonstrating that sparse arrays remain effective for detecting strong activation patterns in channel space, underscoring that the optimal array design depends on both the research question and level of analysis.
