TY - JOUR
T1 - Self-regulation of the Anterior Insula
T2 - Reinforcement Learning using Real-time fMRI Neurofeedback
AU - Lawrence, Emma J
AU - Su, Li
AU - Barker, Gareth J
AU - Medford, Nick
AU - Dalton, Jeffery
AU - Williams, Steve C R
AU - Birbaumer, Niels
AU - Veit, Ralf
AU - Ranganatha, Sitaram
AU - Bodurka, Jerzy
AU - Brammer, Michael
AU - Giampietro, Vincent
AU - David, Anthony S
PY - 2013/3
Y1 - 2013/3
N2 - The anterior insula (AI) plays a key role in affective processing, and insular dysfunction has been noted in several clinical conditions. Real-time functional MRI neurofeedback (rtfMRI-NF) provides a means of helping people learn to self-regulate activation in this brain region. Using the Blood Oxygenated Level Dependant (BOLD) signal from the right AI (RAI) as neurofeedback, we trained participants to increase RAI activation. In contrast, another group of participants were shown 'control' feedback from another brain area. Pre- and post- training affective probes were shown, with subjective ratings and skin conductance response (SCR) measured. We also investigated a reward-related reinforcement learning model of rtfMRI-NF In contrast to controls, we hypothesised a positive linear increase in RAI activation in participants shown feedback from this region, alongside increases in valence ratings and skin conductance response (SCR) to affective probes. Hypothesis-driven analyses showed a significant interaction between the RAI / control neurofeedback groups and the effect of self-regulation. Whole-brain analyses revealed a significant linear increase in RAI activation across four training runs in the group who received feedback from RAI. Increased activation was also observed in the caudate body and thalamus, likely representing feedback-related learning. No positive linear trend was observed in the RAI in the group receiving control feedback, suggesting that these data are not a general effect of cognitive strategy or control feedback. The control group did, however, show diffuse activation across the putamen, caudate and posterior insula which may indicate the representation of false feedback. No significant training-related behavioural differences were observed for valence ratings, or SCR. In addition, correlational analyses based on a reinforcement learning model showed the dorsal anterior cingulate cortex underpinned learning in both groups. In summary, these data demonstrate that it is possible to regulate the RAI using rtfMRI-NF within one scanning session, and that such reward-related learning is mediated by the dorsal anterior cingulate.
AB - The anterior insula (AI) plays a key role in affective processing, and insular dysfunction has been noted in several clinical conditions. Real-time functional MRI neurofeedback (rtfMRI-NF) provides a means of helping people learn to self-regulate activation in this brain region. Using the Blood Oxygenated Level Dependant (BOLD) signal from the right AI (RAI) as neurofeedback, we trained participants to increase RAI activation. In contrast, another group of participants were shown 'control' feedback from another brain area. Pre- and post- training affective probes were shown, with subjective ratings and skin conductance response (SCR) measured. We also investigated a reward-related reinforcement learning model of rtfMRI-NF In contrast to controls, we hypothesised a positive linear increase in RAI activation in participants shown feedback from this region, alongside increases in valence ratings and skin conductance response (SCR) to affective probes. Hypothesis-driven analyses showed a significant interaction between the RAI / control neurofeedback groups and the effect of self-regulation. Whole-brain analyses revealed a significant linear increase in RAI activation across four training runs in the group who received feedback from RAI. Increased activation was also observed in the caudate body and thalamus, likely representing feedback-related learning. No positive linear trend was observed in the RAI in the group receiving control feedback, suggesting that these data are not a general effect of cognitive strategy or control feedback. The control group did, however, show diffuse activation across the putamen, caudate and posterior insula which may indicate the representation of false feedback. No significant training-related behavioural differences were observed for valence ratings, or SCR. In addition, correlational analyses based on a reinforcement learning model showed the dorsal anterior cingulate cortex underpinned learning in both groups. In summary, these data demonstrate that it is possible to regulate the RAI using rtfMRI-NF within one scanning session, and that such reward-related learning is mediated by the dorsal anterior cingulate.
U2 - 10.1016/j.neuroimage.2013.10.069
DO - 10.1016/j.neuroimage.2013.10.069
M3 - Article
C2 - 24231399
SN - 1053-8119
VL - 88
SP - 113
EP - 124
JO - NeuroImage
JF - NeuroImage
IS - N/A
M1 - N/A
ER -