Functional connectivity in obesity during reward processing

García‐García, Isabel; Jurado, Marı́a Ángeles; Garolera, Maite; Segura, Bàrbara; Marqués-Iturria, Idoia; Pueyo, Roser; Vernet-Vernet, María; Sender-Palacios, María José; Sala‐Llonch, Roser; Ariza, Mar; Narberhaus, Ana; Junqué, Carme

doi:10.1016/j.neuroimage.2012.10.035

Cited by 49 publications

(48 citation statements)

References 55 publications

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“…Results also accord with findings from studies using different methods to assess connectivity in obesity. Independent component analyses revealed decreased DMN and increased striatal connectivity in obesity [Garcia‐Garcia et al, ; Garcia‐Garcia et al, ] while examination of eigenvector centrality (a measure of hub connectivity) identified decreased connectivity in the same region of dorsolateral prefrontal cortex [Garcia‐Garcia et al, ] where we observed decreases in GBC. This same method was also used to show a negative relationship between visceral adipose tissue and eigenvector centrality from resting state data in the primary somatosensory/motor areas and cerebellum [Raschpichler et al, ] in older participants.…”

Section: Discussionmentioning

confidence: 74%

“…Although brain organization has been previously examined in relation to obesity [Babiloni et al, ; Garcia‐Garcia et al, ; Garcia‐Garcia et al, ; Kullmann et al, ; Le et al, ; Marques‐Iturria et al, ; McFadden et al, ; Stanek et al, ; Stoeckel et al, ; Tregellas et al, ; Verstynen et al, ; Xu et al, ] the current study is the first to show alterations during food consumption and to compare network organization at rest and during eating. Further, since subjects were neither hungry nor full we capture GBC at a time when the alterations in function are more likely to be related to eating in the absence of hunger.…”

Section: Discussionmentioning

confidence: 99%

“…There is a growing literature documenting a variety of brain changes associated with obesity [Babiloni et al, ; Garcia‐Garcia et al, ; Garcia‐Garcia et al, ; Kullmann et al, ; Kullmann et al, ; Le et al, ; Marques‐Iturria et al, ; McFadden et al, ; Raji et al, ; Stanek et al, ; Stoeckel et al, ; Tregellas et al, ; Verstynen et al, ; Xu et al, ], some of which are linked to metabolic disturbances in central and peripheral insulin signaling and glucose metabolism [Gonzales et al, ; Kroemer et al, ; Page et al, ; Zhang et al, ]. Many studies also demonstrate widespread shrinkage in brain gray matter [Karlsson et al, ; Marques‐Iturria et al, ; Pannacciulli et al, ], decreased white matter integrity [Verstynen et al, ; Xu et al, ], altered cortical synchronization [Babiloni et al, ; Olde Dubbelink et al, ; Wijngaarden et al, ] and regional decrease in cerebral blood flow [Willeumier et al, ] in obese compared to healthy weight individuals.…”

Section: Introductionmentioning

confidence: 99%

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Reorganization of brain connectivity in obesity

Geha

Cecchi

Constable

et al. 2016

Human Brain Mapping

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Global brain connectivity (GBC) identifies regions of the brain, termed "hubs," which are densely connected and metabolically costly, and have a wide influence on brain function. Since obesity is associated with central and peripheral metabolic dysfunction we sought to determine if GBC is altered in obesity. Two independent fMRI data sets were subjected to GBC analyses. The first data set was acquired while participants (n = 15 healthy weight and 15 obese) tasted milkshake and the second with participants at rest (n = 33 healthy weight and 28 obese). In the resting state and during milkshake consumption GBC is consistently decreased in the ventromedial and ventrolateral prefrontal cortex, insula and caudate nucleus, and increased in brain regions belonging to the dorsal attention network including premotor areas, superior parietal lobule, and visual cortex. During milkshake consumption, but not at rest, additional decreases in GBC are observed in feeding-related circuitry including the insula, amygdala, anterior hippocampus, hypothalamus, midbrain, brainstem and somatomotor cortex. Additionally, GBC differences were not accounted for by age. These results demonstrate that obesity is associated with decreased GBC in prefrontal and feeding circuits and increased GBC in the dorsal attention network. We therefore conclude that global brain organization is altered in obesity to favor networks important for external orientation over those monitoring homeostatic state and guiding feeding decisions. Furthermore, since prefrontal decreases are also observed at rest in obese individuals future work should evaluate whether these changes are associated with neurocognitive impairments frequently observed in obesity and diabetes. Hum Brain Mapp 38:1403-1420, 2017. © 2016 Wiley Periodicals, Inc.

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Section: Discussionmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Reorganization of brain connectivity in obesity

Geha

Cecchi

Constable

et al. 2016

Human Brain Mapping

View full text Add to dashboard Cite

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“…BMI was self‐reported in four studies , and participants' heights and weights objectively measured in six studies . There were seven studies in which measurements of weight and height were unspecified . In studies featuring an adolescent sample, two studies calculated BMI using the Center for Disease Control and Prevention BMI‐for‐age growth chart , while one study employed the weight for height method as recommended by the World Health Organization .…”

Section: Resultsmentioning

confidence: 99%

Attentional biases for food cues in overweight and individuals with obesity: a systematic review of the literature

et al. 2015

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Obesity rates have increased dramatically in recent decades, and it has proven difficult to treat. An attentional bias towards food cues may be implicated in the aetiology of obesity and influence cravings and food consumption. This review systematically investigated whether attentional biases to food cues exist in overweight/obese compared with healthy weight individuals. Electronic database were searched for relevant papers from inception to October 2014. Only studies reporting food-related attentional bias between either overweight (body mass index [BMI] 25.0-29.9 kg m(-2)) or obese (BMI ≥ 30) participants and healthy weight participants (BMI 18.5-24.9) were included. The findings of 19 studies were reported in this review. Results of the literature are suggestive of differences in attentional bias, with all but four studies supporting the notion of enhanced reactivity to food stimuli in overweight individuals and individuals with obesity. This support for attentional bias was observed primarily in studies that employed psychophysiological techniques (i.e. electroencephalogram, eye-tracking and functional magnetic resonance imaging). Despite the heterogeneous methodology within the featured studies, all measures of attentional bias demonstrated altered cue-reactivity in individuals with obesity. Considering the theorized implications of attentional biases on obesity pathology, researchers are encouraged to replicate flagship studies to strengthen these inferences.

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“…While researchers have utilized advanced neuroimaging techniques to measure effects of MetS on brain structure (Schwarz et al, ) and function (Haight et al, ; Kenna et al, ), the specific functional domains across the brain and their regional functional connectivity (FC) (Greicius, Krasnow, Reiss, & Menon, ; Van Den Heuvel & Pol, ) targeted by MetS are still poorly explored. Moreover, while investigators have examined individual RF's contribution to disrupted brain functions and their connectivity within isolation (Chen et al, ; Cui et al, ; Garcia‐Garcia et al, ; Hoogenboom et al, ; Musen et al, ; Son et al, ; Xia et al, ), the shared contribution of RFs in MetS needs to be further studied in order to comprehensively understand the “ comorbidity ” impact.…”

Section: Introductionmentioning

confidence: 99%

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

et al. 2019

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IntroductionMetabolic syndrome (MetS) is a clustering of three or more cardiovascular risk factors (RF), including hypertension, obesity, high cholesterol, or hyperglycemia. MetS and its component RFs are more prevalent in older age, and can be accompanied by alterations in brain structure. Studies have shown altered functional connectivity (FC) in samples with individual RFs as well as in clinical populations that are at higher risk to develop MetS. These studies have indicated that the default mode network (DMN) may be particularly vulnerable, yet little is known about the overall impact of MetS on FC in this network.MethodsIn this study, we evaluated the integrity of FC to the DMN in participants with MetS relative to non‐MetS individuals. Using a seed‐based connectivity analysis approach, resting‐state functional MRI (fMRI) data were analyzed, and the FC measures among the DMN seed (isthmus of the cingulate) and rest of the brain voxels were estimated.ResultsParticipants with MetS demonstrated reduced positive connectivity between the DMN seed and left superior frontal regions, and reduced negative connectivity between the DMN seed and left superior parietal, left postcentral, right precentral, right superior temporal and right superior parietal regions, after accounting for age‐ and sex‐effects.ConclusionsOur results suggest that MetS is associated with alterations in FC between the DMN and other regions of the brain. Furthermore, these results indicate that the overall burden of vascular RFs associated with MetS may, in part, contribute to the pathophysiology underlying aberrant FC in the DMN.

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Functional connectivity in obesity during reward processing

Cited by 49 publications

References 55 publications

Reorganization of brain connectivity in obesity

Reorganization of brain connectivity in obesity

Attentional biases for food cues in overweight and individuals with obesity: a systematic review of the literature

Aberrant patterns of default‐mode network functional connectivity associated with metabolic syndrome: A resting‐state study

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