دورية أكاديمية

Physiological modeling of the BOLD signal and implications for effective connectivity: A primer

التفاصيل البيبلوغرافية
العنوان: Physiological modeling of the BOLD signal and implications for effective connectivity: A primer
المؤلفون: Kâmil Uludağ
المصدر: NeuroImage, Vol 277, Iss , Pp 120249- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: Blood oxygenation level-dependent signal, Cerebral blood flow, Neurovascular coupling, Initial overshoot, Post-stimulus undershoot, Laminar fMRI, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: In this primer, I provide an overview of the physiological processes that contribute to the observed BOLD signal (i.e., the generative biophysical model), including their time course properties within the framework of the physiologically-informed dynamic causal modeling (P-DCM). The BOLD signal is primarily determined by the change in paramagnetic deoxygenated hemoglobin, which results from combination of changes in oxygen metabolism, and cerebral blood flow and volume. Specifically, the physiological origin of the so-called BOLD signal “transients” will be discussed, including the initial overshoot, steady-state activation and the post-stimulus undershoot. I argue that incorrect physiological assumptions in the generative model of the BOLD signal can lead to incorrect inferences pertaining to both local neuronal activity and effective connectivity between brain regions. In addition, I introduce the recent laminar BOLD signal model, which extends P-DCM to cortical depths-resolved BOLD signals, allowing for laminar neuronal activity to be determined using high-resolution fMRI data.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1095-9572
Relation: http://www.sciencedirect.com/science/article/pii/S1053811923004007; https://doaj.org/toc/1095-9572
DOI: 10.1016/j.neuroimage.2023.120249
URL الوصول: https://doaj.org/article/f8f088d634604a52881f488e34c388d1
رقم الأكسشن: edsdoj.f8f088d634604a52881f488e34c388d1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10959572
DOI:10.1016/j.neuroimage.2023.120249