The Default Mode Network and inner time consciousness

The default mode network (DMN) exhibits distinct dynamic and topographic features relative to the brain’s other networks, yet their link to consciousness remains unclear. We review both neural (DMN-based topography and dynamics) and mental (experience of time speed, mental time travel, and self-non-self) findings across diverse nonordinary states of consciousness, including reduced (anesthesia, Unresponsive Wakefulness Syndrome), elevated (meditation and, to some degree, psychedelics), and abnormal (depression, mania) consciousness. Both reduced and elevated states are featured by topographic ‘flattening’ of the brain’s DMN-centric organization while they differ in their dynamics, that is, longer versus shorter timescales. A neural continuum emerges with different degrees of DMN-centric topography along its extremes: from heightened DMN-centric re-organization in depression, over flattened configurations in psychedelics and meditation, to heightened sensorimotor-centric re-organization in mania. This neural continuum parallels a mental continuum along different balances within inner time consciousness, including slow versus fast time speed, past–present–future (mental time travel) and self versus non-self/other. In conclusion, we propose novel neurophenomenological hypotheses about the intrinsic relationship (‘complex correspondence’) of the brain’s DMN-centred topography and dynamics with inner time consciousness.

Authors

Institutions

Publication Details

Journal
Current Opinion in Behavioral Sciences
Published
2025-04-22
DOI
https://doi.org/10.1016/j.cobeha.2025.101524
Citations
3
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
4.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Default Mode Network and inner time consciousness

Bianca Ventura, Andrea Buccellato, Georg Northoff
3 citations
Current Opinion in Behavioral Sciences
Neural dynamics and brain function
4.29
article

The Default Mode Network and inner time consciousness

Bianca Ventura, Andrea Buccellato, Georg Northoff
article en
3 citations

Abstract

The default mode network (DMN) exhibits distinct dynamic and topographic features relative to the brain’s other networks, yet their link to consciousness remains unclear. We review both neural (DMN-based topography and dynamics) and mental (experience of time speed, mental time travel, and self-non-self) findings across diverse nonordinary states of consciousness, including reduced (anesthesia, Unresponsive Wakefulness Syndrome), elevated (meditation and, to some degree, psychedelics), and abnormal (depression, mania) consciousness. Both reduced and elevated states are featured by topographic ‘flattening’ of the brain’s DMN-centric organization while they differ in their dynamics, that is, longer versus shorter timescales. A neural continuum emerges with different degrees of DMN-centric topography along its extremes: from heightened DMN-centric re-organization in depression, over flattened configurations in psychedelics and meditation, to heightened sensorimotor-centric re-organization in mania. This neural continuum parallels a mental continuum along different balances within inner time consciousness, including slow versus fast time speed, past–present–future (mental time travel) and self versus non-self/other. In conclusion, we propose novel neurophenomenological hypotheses about the intrinsic relationship (‘complex correspondence’) of the brain’s DMN-centred topography and dynamics with inner time consciousness.

Current Opinion in Behavioral SciencesVol. 63
University of Ottawa (CA), Royal Ottawa Mental Health Centre (CA), uOttawa Brain and Mind Research Institute
Canadian Institutes of Health Research
Openalex Percentile: Top 6%
Neural dynamics and brain function
4.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.