Block Design
Block designs are the most straightforward fNIRS paradigms to implement. Compared to other fNIRS paradigms, block designs possess the highest signal-to-noise, statistical power, and maximal time efficiency. A typical block design consists of reoccurring blocks of tasks (>=10 s) and rest periods.Each block is a sum of stimuli, happening one after the other.
This design relies on the assumptionthat the hemodynamic response adds linearly. The duration of the rest period should let the stimulus-evoked hemodynamic response to build up and return to the baseline level.
Considerations for Block Design
1. Allowing time for response to drop to baseline, without allowing baseline for baseline wander
-Typically, return to baseline occurs 15-20 seconds after the offset of the task. Baseline wander can occur when the participant is left ~30 seconds or more, potentially resulting in uncontrolled neural activation.
2. Mayer wave oscillations: Blood vessel frequencies
-Mayer Wave Oscillationshave a frequency of ~0.1 Hz (10 s). This can overlap with stimuli presentation in a block design.
3. Block duration
-Longer trials are difficult mentally for subjects
-The linearity assumption of the General Linear Model (a common fNIRS analysis method) is violated when saturation takes place. As such, blocks over 60s are not recommended.
4. Addressing subject anticipation
-With the same taskrepeatedly, the subject maylearn to anticipate the stimuli, resulting in reduced hemodynamic activation –e.g. a go/no go task doesn’t lend itself well to a block design study.
Event-Related Designs
In an event related design, each task is presented individually for a short amount of time –e.g. 3s. In this way, tasks can be more randomized, rather than being blocked together by condition.
Like block design, event related design also relies on the assumption that the hemodynamic response adds linearly – but the analysis is more complex, as the response to two or more different stimuli can occur simultaneously, and must be able to be distinguished from one another during analysis (as inthe general linear model).
Considerations for Event-Related Designs
1.Time between events
-For an event-related design to be effective the time between two successive stimuli should be at least 2 seconds (not faster than 0.5 Hz).
2.Data analysis
-Analysis of the data is significantly more complex and dependent on accurate modelling of the HRF.
-A jittered duration (varied) rest period can increase the statistical power –e.g. 2s, 4s, 6s
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