Resting state functional connectivity in anorexia nervosa
Andrea Phillipou1, Larry Allen Abel2, David Jonathan Castle3
1Department of Optometry & Vision Sciences, The University of Melbourne, Melbourne, VIC, Australia; Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia; Department of Mental Health, The Austin Hospital, Melbourne, VIC, Australia.
Anorexia Nervosa (AN) patients show altered brain connectivity. This study found reduced functional connectivity in sensorimotor and visual networks in individuals with AN compared to controls.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Anorexia Nervosa (AN) is a severe psychiatric disorder with unclear causes.
- Neurobiological factors are increasingly studied for insights into AN.
- Resting-state functional connectivity (rs-FC) can reveal brain communication patterns relevant to AN symptoms.
Purpose of the Study:
- To investigate resting-state functional connectivity in the default mode network (DMN), sensorimotor network (SMN), and visual network (VN) in individuals with AN.
- To compare brain network connectivity between females with AN and healthy controls.
Main Methods:
- Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed on 26 females with AN and 27 healthy controls.
- Participants were matched for age, gender, and premorbid intelligence.
- Functional connectivity analysis focused on the DMN, SMN, and VN.
Main Results:
- No significant differences in DMN functional connectivity were observed between AN patients and controls.
- Individuals with AN exhibited reduced functional connectivity between the SMN and VN compared to healthy controls.
- These connectivity differences may relate to visuospatial processing and body image disturbances in AN.
Conclusions:
- Resting-state functional connectivity in sensorimotor and visual networks may be associated with visuospatial processing deficits in Anorexia Nervosa.
- Further research is needed to fully understand the role of these neural networks in AN.
- Findings suggest potential neurobiological markers for AN related to sensory and visual integration.
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