Identification of neural activity based on fMRI data: A simulation study

http://frontiersin.org/psychology/quantitativepsychologyandmeasurement/paper/10.3389/fpsyg.2010.00001/

“…One example is fMRI, that some believe quantifies processes that reveal functions of parts of the brain. Previously only imagined in science fiction, fMRI may be the ultimate tool for the study of psychology, yet there are significant questions as to what exactly it is that fMRI reveals, and how best to analyze and present those data (e.g., Haller and Bartsch, 2009; Hemmelmann et al, 2009; e.g., Wang et al, 2009; Yuanqing et al, 2009). Those who want to use this potentially paradigm-changing methodology need to convince the community of science that what they are quantifying and reporting really reflects what they say it does.…”

Time-Variant Modeling of Brain Processes

“…We used a generalized or time-variant version of the DCM to investigate whether detection is possible and if so, which conditions must be fulfilled and how reliable it is. These studies [28], [81] were carried out by simulated BOLD signals based on ultra-short repetition times. Here the GDNN is utilized as a neural connectivity model by which, in combination with the so-called Balloon model (hemodynamic model), hemodynamic responses of the finger tapping fMRI data set are modeled [see Fig.…”