Idiosyncratic Relation Between Human Brain Activity and Behavior
Computational Neuroscience, Machine Learning and Neuroscience ePoster by Johan Nakuci
Presentation
Abstract
Human behavior is known to be idiosyncratic, yet research in neuroscience typically assumes a universal brain-behavior relationship. Here we test this assumption by estimating the level of idiosyncrasy by compare two different aspects of brain function: task- and behavior-based activation. Human subjects (N=50) perform a perceptual task with confidence inside an MRI scanner. For each subject, task-based activation strength is estimated from blocks of 8 trials. We first show that task-based activation maps are both stable within an individual (r = 0.99) and similar across people (r = 0.59). Behavior-based activation was estimated by calculating the differences between blocks with performance above and below the median reaction time (RT) and confidence (Conf), respectively. Critically, although behavior-based activation maps are also stable within an individual for reaction time (r = 0.68) and confidence (r = 0.49), they strongly diverge across people (RT: r = 0.11; Conf: r = 0.08). A computational model that jointly generates brain activity and behavior reveals that within-person factors have a 6x larger effect than group factors in determining behavior-based activations. These findings demonstrate that unlike task-based activity that is mostly similar among people, the relation between brain activity and behavioral outcomes is largely idiosyncratic.
Details
- Citation
- Johan Nakuci (2022). Idiosyncratic Relation Between Human Brain Activity and Behavior. Neuromatch 5 2022. https://doi.org/10.57736/nmc-0a92-c56a (opens in a new tab)
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