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  Effects of bariatric surgery on functional connectivity of the reward and default mode network: A pre‐registered analysis

Heinrichs, H. S., Beyer, F., Medawar, E., Prehn, K., Ordemann, J., Flöel, A., et al. (2021). Effects of bariatric surgery on functional connectivity of the reward and default mode network: A pre‐registered analysis. Human Brain Mapping, 42(16), 5357-5373. doi:10.1002/hbm.25624.

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 Creators:
Heinrichs, Hannah S.1, Author
Beyer, Frauke1, 2, Author           
Medawar, Evelyn1, Author           
Prehn, Kristin3, 4, Author
Ordemann, Jürgen5, 6, Author
Flöel, Agnes7, 8, Author
Witte, A. Veronica1, 2, 9, Author           
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany, ou_persistent22              
3NeuroCure Clinical Research Center, Charité University Medicine Berlin, Germany, ou_persistent22              
4Department of Psychology, MSH Medical School Hamburg, Germany, ou_persistent22              
5Center for Bariatric and Metabolic Surgery, Charité University Medicine Berlin, Germany, ou_persistent22              
6Center for Adiposity and Metabolic Surgery, Vivantes Hospitals, Berlin, Germany, ou_persistent22              
7Department of Neurology, Ernst Moritz Arndt University of Greifswald, Germany, ou_persistent22              
8German Center for Neurodegenerative Diseases (DZNE), Greifswald, Germany, ou_persistent22              
9Clinic for Cognitive Neurology, University of Leipzig, Germany, ou_persistent22              

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Free keywords: Bariatric surgery; Default mode network; Head motion; Humans; Longitudinal; Magnetic resonance imaging; Obesity; Reward; Waiting list; Weight loss
 Abstract: Obesity imposes serious health risks and involves alterations in resting-state functional connectivity of brain networks involved in eating behavior. Bariatric surgery is an effective treatment, but its effects on functional connectivity are still under debate. In this pre-registered study, we aimed to determine the effects of bariatric surgery on major resting-state brain networks (reward and default mode network) in a longitudinal controlled design. Thirty-three bariatric surgery patients and 15 obese waiting-list control patients underwent magnetic resonance imaging at baseline, after 6 and 12 months. We conducted a pre-registered whole-brain time-by-group interaction analysis, and a time-by-group interaction analysis on within-network connectivity. In exploratory analyses, we investigated the effects of weight loss and head motion. Bariatric surgery compared to waiting did not significantly affect functional connectivity of the reward network and the default mode network (FWE-corrected p > .05), neither whole-brain nor within-network. In exploratory analyses, surgery-related BMI decrease (FWE-corrected p = .041) and higher average head motion (FWE-corrected p = .021) resulted in significantly stronger connectivity of the reward network with medial posterior frontal regions. This pre-registered well-controlled study did not support a strong effect of bariatric surgery, compared to waiting, on major resting-state brain networks after 6 months. Exploratory analyses indicated that head motion might have confounded the effects. Data pooling and more rigorous control of within-scanner head motion during data acquisition are needed to substantiate effects of bariatric surgery on brain organization.

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Language(s): eng - English
 Dates: 2021-08-252021-11
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1002/hbm.25624
Other: epub 2021
PMID: 34432350
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Grant ID : 209933838 - SFB 1052, 327654276 - SFB 1315, Fl 379-16/1, WI 3342/3-1
Funding program : -
Funding organization : Deutsche Forschungsgemeinschaft (DFG)

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 42 (16) Sequence Number: - Start / End Page: 5357 - 5373 Identifier: ISSN: 1065-9471
CoNE: https://pure.mpg.de/cone/journals/resource/954925601686