Adolescent resting state networks and their associations with schizotypal trait expression.
Annalaura Lagioia, Dimitri van de Ville, Martin Debbané, François Lazeyras, Stéphan Eliez
Frontiers in Systems Neuroscience 2010 DOI: 10.3389/fnsys.2010.00035 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Cross-sectional observational study Peer reviewed |
|---|---|
| Sample size | 39 |
| Population | Adolescents aged 12 to 20 years |
| Duration | 8-minute resting-state fMRI session |
| Measures | Schizotypal Personality Questionnaire (SPQ) |
| Topics | Default mode network |
| Keywords | Ica Spq Adolescence FMRI Personality Psychosis Schizotypy |
| Key findings | Six resting-state networks were identified in adolescents, and schizotypal traits (SPQ) correlated positively with visual network energy at 0.05 Hz and negatively with auditory network energy at 0.16-0.19 Hz; the self-referential network showed trend-level significance. The default-mode network was unrelated to schizotypal trait expression, which the authors suggest may reflect developmental differences from adults with schizophrenia. |
Abstract
The rising interest in temporally coherent brain networks during baseline adult cerebral activity finds convergent evidence for an identifiable set of resting state networks (RSNs). To date, little is know concerning the earlier developmental stages of functional connectivity in RSNs. This study's main objective is to characterize the RSNs in a sample of adolescents. We further examine our data from a developmental psychopathology perspective of psychosis-proneness, by testing the hypothesis that early schizotypal symptoms are linked to disconnection in RSNs. In this perspective, this study examines the expression of adolescent schizotypal traits and their potential associations to dysfunctional RSNs. Thirty-nine adolescents aged between 12 and 20 years old underwent an 8-min functional magnetic resonance imaging (fMRI) "resting state" session. In order to explore schizotypal trait manifestations, the entire population was assessed by the Schizotypal Personality Questionnaire (SPQ). After conventional processing of the fMRI data, we applied group-level independent component analysis (ICA). Twenty ICA maps and associated time courses were obtained, among which there were RSNs that are consistent with findings in the literature. We applied a regression analysis at group level between the energy of RSN-associated time courses in different temporal frequency bins and the clinical measures (3 in total). Our results highlight the engagement of six relevant RSNs; (1) a default-mode network (DMN); (2) a dorso-lateral attention network; (3) a visual network (VN); (4) an auditory network (AN); (5) a sensory motor network (SMN); (6) a self-referential network (SRN). The regression analysis reveals a statistically significant correlation between the clinical measures and some of the RSNs, specifically the visual and the AN. In particular, a positive correlation is obtained for the VN in the low frequency range (0.05 Hz) with SPQ measures, while the AN correlates negatively in the high frequency range (0.16-0.19 Hz). Trend-like significance for the SRN may hint to its implication in disorganized thoughts and behaviors during adolescence. Unlike DMN activity in schizophrenic patients, adolescent DMN was unrelated to schizotypal trait expression. This suggests that relationships between the DMN and schizotypy may be modified in later developmental stages of both functional connectivity and psychotic expression. These results are discussed in light of RSNs literature involving children, adults, and individuals with schizophrenia.
Comparable studies
Other cross-sectional and survey studies on default mode network, most cited first.
Citations in the library
Cites 3
- A default mode of brain function Proceedings of the National Academy of Sciences January 16, 2001
- Development of functional and structural connectivity within the default mode network in young children Neuroimage April 11, 2010
- Functional connectivity in the resting brain: A network analysis of the default mode hypothesis Proceedings of the National Academy of Sciences December 27, 2002