Evidence map›Paper›PMID 35333443›Full record

ArticleObesity (Silver Spring, Md.)2022

Longitudinal relationship of baseline functional brain networks with intentional weight loss in older adults.

Jonathan H Burdette, Mohsen Bahrami, Paul J Laurienti, Sean L Simpson, Barbara J Nicklas, Jason Fanning, W Jack Rejeski

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Jonathan H BurdetteLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.ORCID 0000-0002-5145-3849
Mohsen BahramiLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Paul J LaurientiLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Sean L SimpsonLaboratory for Complex Brain Networks, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Barbara J NicklasSection on Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Jason FanningDepartment of Health and Exercise Science, Wake Forest University, Winston-Salem, North Carolina, USA.ORCID 0000-0002-5527-1698
W Jack RejeskiSection on Geriatric Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.ORCID 0000-0003-2281-4649
Wake Forest University · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEPHEN B. KRITCHEVSKY · 2002 to 2026
$36.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Intervening on sedentary behavior to prevent weight regain in older adultsR01AG051624 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI NICKLAS, BARBARA J, REJESKI, WALTER JOHN · 2016 to 2020
$3.8M
Cooperative Lifestyle Intervention Programs (CLIP-II)R18HL076441 · NHLBI · WAKE FOREST UNIVERSITY · PI MARSH, ANTHONY P, REJESKI, WALTER JOHN · 2012 to 2016
$3.1M
Analytical Tools for Complex Brain Networks: Fusing Novel Statistical Methods and Network Science to Understand Brain FunctionR01EB024559 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SIMPSON, SEAN L · 2018 to 2021
$1.5M
NCATS NIH HHS UL1 TR001420NHLBI NIH HHS R18 HL076441NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG051624NIBIB NIH HHS R01 EB024559
6 · The paper itself

Abstract

objectiveThe goal of this study was to determine whether the degree of weight loss after 6 months of a behavior-based intervention is related to baseline connectivity within two functional networks (FNs) of interest, FN1 and FN2, in a group of older adults with obesity.

methodsBaseline functional magnetic resonance imaging data were collected following an overnight fast in 71 older adults with obesity involved in a weight-loss intervention. Functional brain networks in a resting state and during a food-cue task were analyzed using a mixed-regression framework to examine the relationships between baseline networks and 6-month change in weight.

resultsDuring the resting condition, the relationship of baseline brain functional connectivity and network clustering in FN1, which includes the visual cortex and sensorimotor areas, was significantly associated with 6-month weight loss. During the food-cue condition, 6-month weight loss was significantly associated with the relationship between baseline brain connectivity and network global efficiency in FN2, which includes executive control, attention, and limbic regions.

conclusionThese findings provide further insight into complex functional circuits in the brain related to successful weight loss and may ultimately aid in developing tailored behavior-based treatment regimens that target specific brain circuitry.

Indexed as

BrainWeight LossAgedBrain MappingHumansMagnetic Resonance ImagingRest

Identifiers

PMID35333443
PMCPMC8969753
OpenAlexW4220987105

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.