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Updated: May 26, 2026

11:05
SECONDs Administration Guidelines: A Fast Tool to Assess Consciousness in Brain-injured Patients
Published on: February 6, 2021
Comment on "Preserved feedforward but impaired top-down processes in the vegetative state"
Jean-Rémi King1, Tristan Bekinschtein, Stanislas Dehaene
1Commissariat à l'Energie Atomique et aux Energies Alternatives, Division of Life Sciences, Institute of Bioimaging, Neurospin, Gif sur Yvette, 91191 France. jeanremi.king@gmail.com
Summary
This study critically evaluates electroencephalography data in patients with disorders of consciousness. Inconsistencies were found, questioning the reliability of reported cortical connectivity patterns and mismatch negativity.
Area of Science:
- Neuroscience
- Cognitive Science
Background:
- Disorders of consciousness (DoC) present diagnostic challenges.
- Assessing residual cognitive function is crucial for patient care.
- Electroencephalography (EEG) offers a non-invasive method to study brain activity.
Purpose of the Study:
- To critically evaluate the methodology and findings of Boly et al. regarding cortical connectivity in DoC patients.
- To identify inconsistencies in the reported electroencephalography (EEG) data.
- To assess the validity of conclusions drawn about auditory processing in DoC.
Main Methods:
- Analysis of electroencephalography (EEG) data from patients with disorders of consciousness.
- Application of an auditory oddball paradigm.
- Review of data quality, source reconstruction techniques, and statistical analyses.
Main Results:
- Identified several inconsistencies within the data presented by Boly et al.
- Observed a failure to replicate the classical mismatch negativity (MMN) response.
- Highlighted potential issues with data quality, source localization, and statistical rigor.
Conclusions:
- The reported cortical connectivity patterns in DoC patients require further validation.
- Improvements in data quality, source reconstruction, and statistical methods are necessary.
- The current findings challenge the robustness of conclusions regarding auditory processing in DoC based on the analyzed data.

