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Nonlinear estimation of neural processing time from BOLD signal with application to decision-making by Claudinei Eduardo Biazoli Jr.; João Ricardo Sato; Ellison Fernando Cardoso; Michael John Brammer; Edson Amaro Jr. is a Neuroscience article available to read on EtoBox.
What is Nonlinear estimation of neural processing time from BOLD signal with application to decision-making about?
## Abstract The extraction of information about neural activity timing from BOLD signal is a challenging task as the shape of the BOLD curve does not directly reflect the temporal characteristics of electrical activity of neurons. In this work, we introduce the concept of neural processing time (NPT) as a parameter of the biophysical model of the hemodynamic response function (HRF). Through this new concept we aim to infer more accurately the duration of neuronal response from the highly nonlinear BOLD effect. The face validity and applicability of the concept of NPT are evaluated through simulations and analysis of experimental time series. The results of both simulation and application were compared with summary measures of HRF shape. The experiment that was analyzed consisted of a decision‐making paradigm with simultaneous emotional distracters. We hypothesize that the NPT in primary sensory areas, like the fusiform gyrus, is approximately the stimulus presentation duration. On the other hand, in areas related to processing of an emotional distracter, the NPT should depend on the experimental condition. As predicted, the NPT in fusiform gyrus is close to the stimulus duration an
Who reads Nonlinear estimation of neural processing time from BOLD signal with application to decision-making?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Claudinei Eduardo Biazoli Jr.; João Ricardo Sato; Ellison Fernando Cardoso; Michael John Brammer; Edson Amaro Jr.
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley; Research Square (ISSN 1065-9471)
- Published
- 2011
- Language
- EN
- Field
- Neuroscience (Life Sciences)