Review

Introduction to Effective Connectivity and Analysis Methods: Psychophysiological Interaction and Dynamic Causal Modeling

Volume: 76 Number: 2 June 29, 2024
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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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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