Identification of the Default Mode Network with electroencephalography.
Tatiana Fomina, Matthias Hohmann, Bernhard Schölkopf, Moritz Grosse-Wentrup
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2015 DOI: 10.1109/embc.2015.7320143 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Peer reviewed |
|---|---|
| Topics | Default mode network |
| Key points | The authors demonstrate that a task alternating self-referential memory recall with breath focus elicits theta- and alpha-band (4-16 Hz) spectral power modulation whose spatial pattern is consistent with the DMN as observed by PET and fMRI, indicating EEG can identify the DMN and may enable study of DMN alterations in patients unsuited to fMRI or PET. |
Abstract
The Default Mode Network (DMN) is a brain resting-state network that is closely linked to consciousness and neuropsychiatric disorders. The DMN is routinely identified with functional magnetic resonance imaging (fMRI) or positron emission tomography (PET). However, both of these methods impose restrictions on the groups of patients that can be examined. We show that the DMN can also be identified by electroencephalography (EEG). Instructing subjects to alternate between self-referential memory recall and focusing on their breathing induces a spatial pattern of spectral band power modulation in the θ- and α-band (4-16 Hz) that is consistent with the DMN pattern observed with PET and fMRI. Since EEG is a portable, cheap, and safe technology, our work enables the characterization of DMN alterations in patient groups that are difficult to study with fMRI or PET.
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- Electrophysiological and Behavioural Markers of Novice State Mindfulness in Relation to Trait Mindfulness, Values, Personality Traits and Academic Dispositions Annals of Neurosciences September 8, 2025
- Default mode network activation and Transcendental Meditation practice: Focused Attention or Automatic Self-transcending? Brain and Cognition February 1, 2017
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