Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex

Byoung Kyong Min, Hyun Seok Kim, Wonjun Ko, Min Hee Ahn, Heung Il Suk, Dimitrios Pantazis, Robert T. Knight

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The prefrontal cortex (PFC) plays a pivotal role in goal-directed cognition, yet its representational code remains an open problem with decoding techniques ineffective in disentangling task-relevant variables from PFC. Here we applied regularized linear discriminant analysis to human scalp EEG data and were able to distinguish a mental-rotation task versus a color-perception task with 87% decoding accuracy. Dorsal and ventral areas in lateral PFC provided the dominant features dissociating the two tasks. Our findings show that EEG can reliably decode two independent task states from PFC and emphasize the PFC dorsal/ventral functional specificity in processing the where rotation task versus the what color task.

Original languageEnglish
Article number118165
Publication statusPublished - 2021 Aug 15


  • brain-machine interface
  • cognition
  • electroencephalography
  • prefrontal cortex

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience


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