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The Journal of Neuroscience, November 28, 2007, 27(48):13082-13091; doi:10.1523/JNEUROSCI.3540-07.2007

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Behavioral/Systems/Cognitive
EEG-Informed fMRI Reveals Spatiotemporal Characteristics of Perceptual Decision Making

Marios G. Philiastides and Paul Sajda

Laboratory for Intelligent Imaging and Neural Computing, Department of Biomedical Engineering, Columbia University, New York, New York 10027

Correspondence should be addressed to Marios G. Philiastides or Paul Sajda, Laboratory for Intelligent Imaging and Neural Computing, Department of Biomedical Engineering, Columbia University, 351 Engineering Terrace, MC 8904, 1210 Amsterdam Avenue, New York, NY 10027. Email: mgp2101{at}columbia.edu or Email: ps629{at}columbia.edu

Single-unit and multiunit recordings in primates have already established that decision making involves at least two general stages of neural processing: representation of evidence from early sensory areas and accumulation of evidence to a decision threshold from decision-related regions. However, the relay of information from early sensory to decision areas, such that the accumulation process is instigated, is not well understood. Using a cued paradigm and single-trial analysis of electroencephalography (EEG), we previously reported on temporally specific components related to perceptual decision making. Here, we use information derived from our previous EEG recordings to inform the analysis of fMRI data collected for the same behavioral task to ascertain the cortical origins of each of these EEG components. We demonstrate that a cascade of events associated with perceptual decision making takes place in a highly distributed neural network. Of particular importance is an activation in the lateral occipital complex implicating perceptual persistence as a mechanism by which object decision making in the human brain is instigated.

Key words: EEG; fMRI; spatiotemporal analysis; perceptual decision making; perceptual persistence; lateral occipital complex

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Received Aug. 3, 2007; revised Sept. 25, 2007; accepted Oct. 5, 2007.

Correspondence should be addressed to Marios G. Philiastides or Paul Sajda, Laboratory for Intelligent Imaging and Neural Computing, Department of Biomedical Engineering, Columbia University, 351 Engineering Terrace, MC 8904, 1210 Amsterdam Avenue, New York, NY 10027. Email: mgp2101{at}columbia.edu or Email: ps629{at}columbia.edu

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