The lecture delves into experimental design in fMRI studies, emphasizing the importance of minimal pairs and avoiding confounds. Task design considerations include balancing naturalistic stimuli with participant wakefulness, and the necessity of within-subject designs to mitigate individual variability. Baseline conditions are crucial for establishing selectivity, and the allocation of conditions to runs should account for changes in participant state over time. Blocked versus interleaved designs present trade-offs between anticipatory biases and overlapping bold responses, which can be addressed through linear modeling. The lecture also explores two-by-two factorial designs to study the effects of attention on stimulus processing, and introduces Haxby's method for decoding information from voxel patterns, challenging the notion of category-selective regions.
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