Partitioning away consciousness: an equal and cross-frequency connectivity analysis from the integration-segregation perspective

This theoretical paper proposes a new analytical framework for studying consciousness by examining how brain networks balance integration and segregation. The authors introduce an equal and cross-frequency connectivity analysis that partitions neural activity into distinct frequency bands to assess how information is integrated across brain regions versus segregated within specialized networks. The approach aims to provide a more nuanced understanding of consciousness by moving beyond simple measures of overall connectivity to capture the dynamic interplay between global integration and local specialization. The paper argues that consciousness depends on a critical balance between these two processes, and that disruptions in this balance may underlie altered states of consciousness.

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Abstract

Partitioning away consciousness: an equal and cross-frequency connectivity analysis from the integration-segregation perspective