Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM
Authors: Bernal-Casas, D., Balaguer-Ballester, E., Gerchen, M.F., Iglesias, S., Walter, H., Heinz, A., Meyer-Lindenberg, A., Stephan, K.E. and Kirsch, P.
Journal: NeuroImage
Volume: 82
Pages: 555-563
eISSN: 1095-9572
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2013.05.120
Abstract:This study examined the reproducibility of prefrontal-hippocampal connectivity estimates obtained by stochastic dynamic causal modeling (sDCM). 180 healthy subjects were measured by functional magnetic resonance imaging (fMRI) during a standard working memory N-Back task at three different sites (Mannheim, Bonn, Berlin; each with 60 participants). The reproducibility of regional activations in key regions for working memory (dorsolateral prefrontal cortex, DLPFC; hippocampal formation, HF) was evaluated using conjunction analyses across locations. These analyses showed consistent activation of right DLPFC and deactivation of left HF across all three different sites. The effective connectivity between DLPFC and HF was analyzed using a simple two-region sDCM. For each subject, we evaluated sixty-seven alternative sDCMs and compared their relative plausibility using Bayesian model selection (BMS). Across all locations, BMS consistently revealed the same winning model, with the 2-Back working memory condition as driving input to both DLPFC and HF and with a connection from DLPFC to HF. Statistical tests on the sDCM parameter estimates did not show any significant differences across the three sites. The consistency of both the BMS results and model parameter estimates indicates the reliability of sDCM in our paradigm. This provides a basis for future genetic and clinical studies using this approach. © 2013 Elsevier Inc.
https://eprints.bournemouth.ac.uk/35157/
Source: Scopus
Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM.
Authors: Bernal-Casas, D., Balaguer-Ballester, E., Gerchen, M.F., Iglesias, S., Walter, H., Heinz, A., Meyer-Lindenberg, A., Stephan, K.E. and Kirsch, P.
Journal: Neuroimage
Volume: 82
Pages: 555-563
eISSN: 1095-9572
DOI: 10.1016/j.neuroimage.2013.05.120
Abstract:This study examined the reproducibility of prefrontal-hippocampal connectivity estimates obtained by stochastic dynamic causal modeling (sDCM). 180 healthy subjects were measured by functional magnetic resonance imaging (fMRI) during a standard working memory N-Back task at three different sites (Mannheim, Bonn, Berlin; each with 60 participants). The reproducibility of regional activations in key regions for working memory (dorsolateral prefrontal cortex, DLPFC; hippocampal formation, HF) was evaluated using conjunction analyses across locations. These analyses showed consistent activation of right DLPFC and deactivation of left HF across all three different sites. The effective connectivity between DLPFC and HF was analyzed using a simple two-region sDCM. For each subject, we evaluated sixty-seven alternative sDCMs and compared their relative plausibility using Bayesian model selection (BMS). Across all locations, BMS consistently revealed the same winning model, with the 2-Back working memory condition as driving input to both DLPFC and HF and with a connection from DLPFC to HF. Statistical tests on the sDCM parameter estimates did not show any significant differences across the three sites. The consistency of both the BMS results and model parameter estimates indicates the reliability of sDCM in our paradigm. This provides a basis for future genetic and clinical studies using this approach.
https://eprints.bournemouth.ac.uk/35157/
Source: PubMed
Preferred by: Emili Balaguer-Ballester
Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM
Authors: Bernal-Casas, D., Balaguer-Ballester, E., Gerchen, M.P., Iglesias, S., Walter, H., Heinz, A., Meyer-Lindenberg, A., Stephan, K.E. and Kirsch, P.
Journal: NEUROIMAGE
Volume: 82
Pages: 555-563
eISSN: 1095-9572
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2013.05.120
https://eprints.bournemouth.ac.uk/35157/
Source: Web of Science (Lite)
Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM.
Authors: Bernal-Casas, D., Balaguer-Ballester, E., Gerchen, M.F., Iglesias, S., Walter, H., Heinz, A., Meyer-Lindenberg, A., Stephan, K.E. and Kirsch, P.
Journal: NeuroImage
Volume: 82
Pages: 555-563
eISSN: 1095-9572
ISSN: 1053-8119
DOI: 10.1016/j.neuroimage.2013.05.120
Abstract:This study examined the reproducibility of prefrontal-hippocampal connectivity estimates obtained by stochastic dynamic causal modeling (sDCM). 180 healthy subjects were measured by functional magnetic resonance imaging (fMRI) during a standard working memory N-Back task at three different sites (Mannheim, Bonn, Berlin; each with 60 participants). The reproducibility of regional activations in key regions for working memory (dorsolateral prefrontal cortex, DLPFC; hippocampal formation, HF) was evaluated using conjunction analyses across locations. These analyses showed consistent activation of right DLPFC and deactivation of left HF across all three different sites. The effective connectivity between DLPFC and HF was analyzed using a simple two-region sDCM. For each subject, we evaluated sixty-seven alternative sDCMs and compared their relative plausibility using Bayesian model selection (BMS). Across all locations, BMS consistently revealed the same winning model, with the 2-Back working memory condition as driving input to both DLPFC and HF and with a connection from DLPFC to HF. Statistical tests on the sDCM parameter estimates did not show any significant differences across the three sites. The consistency of both the BMS results and model parameter estimates indicates the reliability of sDCM in our paradigm. This provides a basis for future genetic and clinical studies using this approach.
https://eprints.bournemouth.ac.uk/35157/
Source: Europe PubMed Central
Multi-site reproducibility of prefrontal-hippocampal connectivity estimates by stochastic DCM.
Authors: Bernal-Casas, D., Balaguer-Ballester, E., Gerchen, M.F., Iglesias, S., Walter, H., Heinz, A., Meyer-Lindenberg, A., Stephan, K.E. and Kirsch, P.
Journal: NeuroImage
Volume: 82
Issue: November
Pages: 555-563
ISSN: 1053-8119
Abstract:This study examined the reproducibility of prefrontal-hippocampal connectivity estimates obtained by stochastic dynamic causal modeling (sDCM). 180 healthy subjects were measured by functional magnetic resonance imaging (fMRI) during a standard working memory N-Back task at three different sites (Mannheim, Bonn, Berlin; each with 60 participants). The reproducibility of regional activations in key regions for working memory (dorsolateral prefrontal cortex, DLPFC; hippocampal formation, HF) was evaluated using conjunction analyses across locations. These analyses showed consistent activation of right DLPFC and deactivation of left HF across all three different sites. The effective connectivity between DLPFC and HF was analyzed using a simple two-region sDCM. For each subject, we evaluated sixty-seven alternative sDCMs and compared their relative plausibility using Bayesian model selection (BMS). Across all locations, BMS consistently revealed the same winning model, with the 2-Back working memory condition as driving input to both DLPFC and HF and with a connection from DLPFC to HF. Statistical tests on the sDCM parameter estimates did not show any significant differences across the three sites. The consistency of both the BMS results and model parameter estimates indicates the reliability of sDCM in our paradigm. This provides a basis for future genetic and clinical studies using this approach.
https://eprints.bournemouth.ac.uk/35157/
Source: BURO EPrints