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Updated: May 30, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Hypnotic modulation of resting state fMRI default mode and extrinsic network connectivity
A Demertzi1, A Soddu, M-E Faymonville
1Coma Science Group, Cyclotron Research Centre and Neurology Department, University and University Hospital of Liège, Liège, Belgium.
Hypnosis alters brain networks related to consciousness. Functional magnetic resonance imaging (fMRI) revealed reduced sensory network connectivity and modified self-awareness network activity during hypnosis.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Imaging
Background:
- Resting state functional magnetic resonance imaging (fMRI) reveals two key brain networks: the default mode network (DMN) for self-related processes and an anticorrelated extrinsic system for external stimuli.
- Understanding the interplay between these networks is crucial for elucidating the neural basis of conscious awareness.
Purpose of the Study:
- To investigate how hypnosis transiently modulates the relationship between the DMN and the extrinsic system.
- To explore the functional contribution of these networks to conscious awareness.
Main Methods:
- Utilized independent component analysis (ICA) on resting state fMRI data.
- Acquired fMRI data during normal wakefulness, hypnotic state, and autobiographical mental imagery (control condition).
Main Results:
- Hypnosis reduced connectivity in the lateral frontoparietal extrinsic system, suggesting decreased sensory awareness.
- The DMN showed increased connectivity in specific regions (angular and middle frontal gyri) but decreased connectivity in others (posterior midline, parahippocampal structures), potentially linked to altered self-awareness and amnesia.
Conclusions:
- Hypnosis dynamically alters intrinsic brain networks associated with consciousness.
- Further fMRI studies on various states (sleep, anesthesia, coma) modulating these networks will enhance understanding of subjective awareness's neural correlates.
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