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Default Mode Network Distinguishes Self from Other During Counterfactual Language Comprehension: Evidence from Multivariate EEG Decoding and LLMs

PsyArXiv August 22, 2026 preprint DOI: 10.31234/osf.io/y9458_v1 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study
Topics Default mode network
Key findings The default mode network distinguishes self from other during counterfactual language comprehension, as evidenced by multivariate EEG decoding and large language model analyses.

Abstract

Default Mode Network Distinguishes Self from Other During Counterfactual Language Comprehension: Evidence from Multivariate EEG Decoding and LLMs

Comparable studies

Other observational and cohort studies on default mode network, most cited first.

Study Year Design Participants
A default mode of brain function Normal adult human brain 2001 Observational study
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network Healthy subjects 2008 Observational cohort
Meditation experience is associated with increased cortical thickness Participants with extensive Insight meditation experience and matched controls 2005 Observational cohort n = 20
Meditation experience is associated with differences in default mode network activity and connectivity Experienced meditators and matched meditation-naive controls 2011 Observational cohort
The precuneus/posterior cingulate cortex plays a pivotal role in the default mode network: Evidence from a partial correlation network analysis Healthy subjects 2008 Observational study

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