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Adaptive staircase procedures efficiently characterise perceptual thresholds. We adapt this for BOLD imaging using a Bayesian maximum likelihood estimation of the BOLD response threshold in V1 ROIs as a function of contrast.
Participants viewed varying levels of contrast in sine-wave gratings presented as dynamic moving images surrounding a central fixation target-spotting task.

Typically, the design of an fMRI experiment is completely fixed in advance. Dynamically Adaptive Imaging allows the task, stimuli, MRI acquisition parameters or the subject’s behaviour to be contingently modified online, making imaging studies more sensitive and more robust. The system is currently in the piloting stages. This page includes SOPs for the pilot experiments which have been successfully run.

For comments or questions please contact RhodriCusack or MicheleVeldsman.

FullSearch()

DAI set up

A simple overview of the current hardware and software set-up (relevant to the pilot studies) is illustrated below. Overall control and processing is handled by the stand-alone Linux machine, between the scanner console and stimulus delivery machines.

SOP: Visual Response Contrast Function

Brief Description

Adaptive staircase procedures efficiently characterise perceptual thresholds. We adapt this for BOLD imaging using a Bayesian maximum likelihood estimation of the BOLD response threshold in V1 ROIs as a function of contrast. Participants viewed varying levels of contrast in sine-wave gratings presented as dynamic moving images surrounding a central fixation target-spotting task.

Operating Protocol

SOP: Searching Broad Stimulus Sets

Brief Description

Operating Protocol


None: DynamicallyAdaptiveImaging (last edited 2013-03-07 21:20:04 by localhost)