Perceptual decision making is one of the most basic forms of cognition, for it is how sensory input is mapped to specific behavior. Substantial effort has focused on uncovering the constituent cortical networks involved in this early form of cognition using both single and multi-unit recordings in primates and, more recently, functional neuroimaging in humans. These neuroimaging studies, typically utilizing functional magnetic resonance imaging (fMRI), have identified areas in frontal, parietal, and thalamic cortex in which metabolic activity correlates with decision related variables. However, decision making is a dynamic process, and the localized activations found with fMRI must be a part of cortical networks defined by the relative timing of these activations and their causality. The overall goal of this project is to couple high temporal resolution, single-trial analysis of electroencephalography (EEG) with simultaneously acquired fMRI to infer the constituent cortical networks of perceptual decision making in the human brain.
Specific aims are 1) to replicate and systematically expand upon our prior results showing neural components correlate with task-relevant decision making variables, but for the case of EEG acquired simultaneously with fMRI, 2) to link trial-to-trial variability of EEG components, identified for perceptual decision making, with spatial area simultaneously imaged with fMRI, and 3) to extend our perceptual decision making paradigm from brief stimulus presentation to prolonged and dynamic stimuli and use single-trial analysis of simultaneous EEG/fMRI to differentiate cortical networks involved in evidence accumulation. This project will significantly advance our understanding of decision making in the human brain by providing a more precise cortical network "diagram" which could be used to better compare differences observed between primate and human data. Finally, this research could lead to a better understanding of cortical processing underlying basic cognitive deficits, linking spatial and temporal changes in activations to specific neurological diseases and disease states.
In this project we will use state-of-the art neuroimaging to map the neural networks underlying decision making in the human brain. This project will both shed light on basic neuroscience questions related to decision making in humans as well as lead to a better understanding of cognitive deficits and neurological disease in which decision making is affected.
|Ratcliff, Roger; Sederberg, Per B; Smith, Troy A et al. (2016) A single trial analysis of EEG in recognition memory: Tracking the neural correlates of memory strength. Neuropsychologia 93:128-141|
|Muraskin, Jordan; Dodhia, Sonam; Lieberman, Gregory et al. (2016) Brain dynamics of post-task resting state are influenced by expertise: Insights from baseball players. Hum Brain Mapp 37:4454-4471|
|Sherwin, Jason Samuel; Muraskin, Jordan; Sajda, Paul (2015) Pre-stimulus functional networks modulate task performance in time-pressured evidence gathering and decision-making. Neuroimage 111:513-25|
|Muraskin, Jordan; Sherwin, Jason; Sajda, Paul (2015) Knowing when not to swing: EEG evidence that enhanced perception-action coupling underlies baseball batter expertise. Neuroimage 123:1-10|
|Walz, Jennifer M; Goldman, Robin I; Carapezza, Michael et al. (2015) Prestimulus EEG alpha oscillations modulate task-related fMRI BOLD responses to auditory stimuli. Neuroimage 113:153-63|
|Lou, Bin; Hsu, Wha-Yin; Sajda, Paul (2015) Perceptual Salience and Reward Both Influence Feedback-Related Neural Activity Arising from Choice. J Neurosci 35:13064-75|
|Walz, Jennifer M; Goldman, Robin I; Carapezza, Michael et al. (2014) Simultaneous EEG-fMRI reveals a temporal cascade of task-related and default-mode activations during a simple target detection task. Neuroimage 102 Pt 1:229-39|
|Hong, Linbi; Walz, Jennifer M; Sajda, Paul (2014) Your eyes give you away: prestimulus changes in pupil diameter correlate with poststimulus task-related EEG dynamics. PLoS One 9:e91321|
|Philiastides, Marios G; Heekeren, Hauke R; Sajda, Paul (2014) Human scalp potentials reflect a mixture of decision-related signals during perceptual choices. J Neurosci 34:16877-89|
|Lou, Bin; Li, Yun; Philiastides, Marios G et al. (2014) Prestimulus alpha power predicts fidelity of sensory encoding in perceptual decision making. Neuroimage 87:242-51|
Showing the most recent 10 out of 21 publications