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New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data

(2017)
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Please use this url to cite or link to this publication:

MLA
Almgren, Hannes, Frederik Van de Steen, Adeel Razi, et al. “New (spectral) Dynamic Causal Modeling Scheme Improves Effective Connectivity Estimation Within Resting State Networks in Longitudinal Data.” 2017. Print.
APA
Almgren, H., Van de Steen, F., Razi, A., & Marinazzo, D. (2017). New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data. Presented at the 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3.
Chicago author-date
Almgren, Hannes, Frederik Van de Steen, Adeel Razi, and Daniele Marinazzo. 2017. “New (spectral) Dynamic Causal Modeling Scheme Improves Effective Connectivity Estimation Within Resting State Networks in Longitudinal Data.” In .
Chicago author-date (all authors)
Almgren, Hannes, Frederik Van de Steen, Adeel Razi, and Daniele Marinazzo. 2017. “New (spectral) Dynamic Causal Modeling Scheme Improves Effective Connectivity Estimation Within Resting State Networks in Longitudinal Data.” In .
Vancouver
1.
Almgren H, Van de Steen F, Razi A, Marinazzo D. New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data. 2017.
IEEE
[1]
H. Almgren, F. Van de Steen, A. Razi, and D. Marinazzo, “New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data,” presented at the 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3, Antwerp, 2017.
@inproceedings{8551294,
  author       = {Almgren, Hannes and Van de Steen, Frederik and Razi, Adeel and Marinazzo, Daniele},
  location     = {Antwerp},
  title        = {New (spectral) dynamic causal modeling scheme improves effective connectivity estimation within resting state networks in longitudinal data},
  url          = {http://dx.doi.org/10.1186/s12868-017-0372-1},
  year         = {2017},
}

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