A Sliding Time-Window ICA Reveals Spatial Variability of the Default Mode Network in Time
Vesa Kiviniemi, Tapani Vire, Jukka Remes, Ahmed Abou Elseoud, Tuomo Starck, Osmo Tervonen, Juha Nikkinen
Brain Connectivity October 1, 2011 DOI: 10.1089/brain.2011.0036 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Observational study Peer reviewed |
|---|---|
| Sample size | 12 |
| Population | Human participants imaged in the resting state |
| Topics | Default mode network |
| Citations | 268 |
| Key findings | The spatial distribution of the default mode network shows marked variability over time, with a single voxel appearing in a group DMN map in at most 82% of time windows. |
Abstract
Recent evidence on resting-state networks in functional (connectivity) magnetic resonance imaging (fcMRI) suggests that there may be significant spatial variability of activity foci over time. This study used a sliding time window approach with the spatial domain-independent component analysis (SliTICA) to detect spatial maps of resting-state networks over time. The study hypothesis was that the spatial distribution of a functionally connected network would present marked variability over time. The spatial stability of successive sliding-window maps of the default mode network (DMN) from fcMRI data of 12 participants imaged in the resting state was analyzed. Control measures support previous findings on the stability of independent component analysis in measuring sliding-window sources accurately. The spatial similarity of successive DMN maps varied over time at low frequencies and presented a 1/f power spectral pattern. SliTICA maps show marked temporal variation within the DMN; a single voxel was detected inside a group DMN map in maximally 82% of time windows. Mapping of incidental connectivity reveals centrifugally increasing connectivity to the brain cortex outside the DMN core areas. In conclusion, SliTICA shows marked spatial variance of DMN activity in time, which may offer a more comprehensive measurement of the overall functional activity of a network.
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 |
Citations in the library
Cited by 6
- Mindfulness meditation increases default mode, salience, and central executive network connectivity Scientific Reports August 2, 2022
- Cannabis-induced altered states of consciousness are associated with specific dynamic brain connectivity states Journal of Psychopharmacology June 3, 2019
- Tasks activating the default mode network map multiple functional systems Brain Structure and Function February 18, 2022
- Fluctuations of the EEG-fMRI correlation reflect intrinsic strength of functional connectivity in default mode network. Journal of Neuroscience Research May 14, 2018
- Temporal Dynamics of the Default Mode Network Characterize Meditation-Induced Alterations in Consciousness. Frontiers in Human Neuroscience 2016
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