Default mode network connectivity: effects of age, sex, and analytic approach
Robyn L. Bluhm, Elizabeth A. Osuch, Ruth A. Lanius, Kristine Boksman, Richard W.J. Neufeld, Jean Théberge, Peter Williamson
Neuroreport May 28, 2008 DOI: 10.1097/wnr.0b013e328300ebbf via OpenAlex
Summary
AI-generated from the abstractThe default mode network, a set of brain regions active during rest, can be identified by both region of interest-based correlation analyses and independent component analysis. In a study of 40 participants, both methods successfully identified the network. Age and sex differences in the network were small, and the two analytic techniques agreed less on these differences than on the network's structure.
Study at a glance
| Characteristics | Observational study Peer reviewed |
|---|---|
| Sample size | 40 |
| Population | Human participants |
| Citations | 229 |
| Key finding | Both region of interest-based correlation analyses and independent component analysis identify the default mode network, but show less agreement on age and sex differences. |
Abstract
The 'default mode network' is a set of brain regions showing correlated, low-frequency activity during rest. It includes the posterior cingulate/precuneus, medial prefrontal cortex, and bilateral inferior parietal cortex. Earlier studies have characterized this network using either region of interest-based correlation analyses or data-driven techniques; however, there is some disagreement over which method is superior. We conducted both types of analysis on a large (N=40) data set and also investigated age and sex differences in the network. Both region of interest-based analyses and independent component analysis identified the default mode network. Age and sex differences were small and there was less agreement between analytic techniques regarding age and sex effects than regarding default mode network structure.