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Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling
Abstract
The idea of treating the brain as spatially distributed but functionally connected regions that are in constant communication with each other and
transport information has been on the agenda for a long time. Recent advances in technology have also shown their effects on neuroimaging
methods, leading to the development of new techniques to understand brain connections. One of these techniques is effective connectivity, which
explains the effect that one neuronal system exerts on another so that it can examine the causality between activated brain regions. Although it is
generally used in anatomically based predictions, it is often necessary to create a model with structural parameters. After mentioning the purposes
of connectivity prior to effective connectivity, dynamic causal modelling and psychophysiological modelling used for effective connectivity will be
discussed in this review. It is aimed to explain basic terms and techniques for investigators that interest in neuroimaging.
Keywords
Ethical Statement
Editörler kurulunun dışında olan kişiler tarafından değerlendirilmiştir.
References
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- 5. Friston KJ. Functional and effective connectivity: a review. Brain Connectivity. 2011;1:13-36.
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Details
Primary Language
English
Subjects
Psychiatry
Journal Section
Review
Publication Date
June 29, 2024
Submission Date
January 19, 2021
Acceptance Date
May 29, 2023
Published in Issue
Year 2023 Volume: 76 Number: 2
APA
Hosgören Alıcı, Y., Kuzu, M., & Çiçek, M. (2024). Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling. Ankara Üniversitesi Tıp Fakültesi Mecmuası, 76(2), 84-92. https://doi.org/10.4274/atfm.galenos.2023.63497
AMA
1.Hosgören Alıcı Y, Kuzu M, Çiçek M. Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2024;76(2):84-92. doi:10.4274/atfm.galenos.2023.63497
Chicago
Hosgören Alıcı, Yasemin, Müge Kuzu, and Metehan Çiçek. 2024. “Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 76 (2): 84-92. https://doi.org/10.4274/atfm.galenos.2023.63497.
EndNote
Hosgören Alıcı Y, Kuzu M, Çiçek M (June 1, 2024) Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling. Ankara Üniversitesi Tıp Fakültesi Mecmuası 76 2 84–92.
IEEE
[1]Y. Hosgören Alıcı, M. Kuzu, and M. Çiçek, “Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling”, Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 76, no. 2, pp. 84–92, June 2024, doi: 10.4274/atfm.galenos.2023.63497.
ISNAD
Hosgören Alıcı, Yasemin - Kuzu, Müge - Çiçek, Metehan. “Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling”. Ankara Üniversitesi Tıp Fakültesi Mecmuası 76/2 (June 1, 2024): 84-92. https://doi.org/10.4274/atfm.galenos.2023.63497.
JAMA
1.Hosgören Alıcı Y, Kuzu M, Çiçek M. Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2024;76:84–92.
MLA
Hosgören Alıcı, Yasemin, et al. “Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling”. Ankara Üniversitesi Tıp Fakültesi Mecmuası, vol. 76, no. 2, June 2024, pp. 84-92, doi:10.4274/atfm.galenos.2023.63497.
Vancouver
1.Yasemin Hosgören Alıcı, Müge Kuzu, Metehan Çiçek. Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling. Ankara Üniversitesi Tıp Fakültesi Mecmuası. 2024 Jun. 1;76(2):84-92. doi:10.4274/atfm.galenos.2023.63497