Scheinost, Dustin and Stoica, Teodora and Wasylink, Suzanne and Gruner, Patricia and Saksa, John and Pittenger, Christopher and Hampson, Michelle (2014) Resting state functional connectivity predicts neurofeedback response. Frontiers in Behavioral Neuroscience, 8. ISSN 1662-5153
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Abstract
Tailoring treatments to the specific needs and biology of individual patients—personalized medicine—requires delineation of reliable predictors of response. Unfortunately, these have been slow to emerge, especially in neuropsychiatric disorders. We have recently described a real-time functional magnetic resonance imaging (rt-fMRI) neurofeedback protocol that can reduce contamination-related anxiety, a prominent symptom of many cases of obsessive-compulsive disorder (OCD). Individual response to this intervention is variable. Here we used patterns of brain functional connectivity, as measured by baseline resting-state fMRI (rs-fMRI), to predict improvements in contamination anxiety after neurofeedback training. Activity of a region of the orbitofrontal cortex (OFC) and anterior prefrontal cortex, Brodmann area (BA) 10, associated with contamination anxiety in each subject was measured in real time and presented as a neurofeedback signal, permitting subjects to learn to modulate this target brain region. We have previously reported both enhanced OFC/BA 10 control and improved anxiety in a group of subclinically anxious subjects after neurofeedback. Five individuals with contamination-related OCD who underwent the same protocol also showed improved clinical symptomatology. In both groups, these behavioral improvements were strongly correlated with baseline whole-brain connectivity in the OFC/BA 10, computed from rs-fMRI collected several days prior to neurofeedback training. These pilot data suggest that rs-fMRI can be used to identify individuals likely to benefit from rt-fMRI neurofeedback training to control contamination anxiety.
Item Type: | Article |
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Subjects: | OA STM Library > Biological Science |
Depositing User: | Unnamed user with email support@oastmlibrary.com |
Date Deposited: | 11 Mar 2023 11:02 |
Last Modified: | 19 Jul 2024 08:03 |
URI: | http://geographical.openscholararchive.com/id/eprint/310 |