1
|
Wang Y, Yao X. Neural correlates of willingness to pay for items: A meta-analysis of functional magnetic resonance imaging studies. Physiol Behav 2024; 278:114481. [PMID: 38369217 DOI: 10.1016/j.physbeh.2024.114481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 01/21/2024] [Accepted: 01/31/2024] [Indexed: 02/20/2024]
Abstract
Willingness to pay (WTP) pervades every marketplace transaction, therefore, understanding how the brain makes bidding decisions is essential in consumer neuroscience. Although some neuroimaging studies have investigated the neural networks of WTP, systematic understanding remains limited. This study identified reliable neural networks activated by the WTP across different reward types and assessed common and distinct neural networks for different reward types (food and other) bids. We conducted an activation likelihood estimation (ALE) meta-analysis on WTP across different reward types (25 studies; 254 foci; 705 participants), and to compared neural representations of WTP for food reward (22 studies; 232 foci; 628 participants) and other rewards (7 studies, 61 foci; 177 participants). The ALE results revealed that the brain centers of WTP for different rewards mainly consist of the bilateral inferior frontal gyrus (IFG), bilateral insula, bilateral anterior cingulate cortex (ACC), along with the left caudate. This suggests that neural networks encoding WTP for different rewards consist of brain regions associated with reward processing, cost-benefit calculations, and goal-directed action activities. In addition, consistent activation of the bilateral IFG and bilateral insula for food but no other rewards bids suggest their involvement in the neural network of appetite. WTP for food and other rewards commonly activated ACC, suggesting a common region encoding bids for different rewards. Our findings provide novel insights into neural networks associated with WTP for food and other rewards bids and the mechanisms underlying WTP across different reward types.
Collapse
Affiliation(s)
- Yiwen Wang
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China; Institute of Psychological and Cognitive Sciences, Fuzhou University, Fuzhou, 350108, China.
| | - Xiaoqiang Yao
- School of Economics and Management, Fuzhou University, Fuzhou, 350108, China; Institute of Psychological and Cognitive Sciences, Fuzhou University, Fuzhou, 350108, China
| |
Collapse
|
2
|
Nestor LJ, Luijten M, Ziauddeen H, Regenthal R, Sahakian BJ, Robbins TW, Ersche KD. The Modulatory Effects of Atomoxetine on Aberrant Connectivity During Attentional Processing in Cocaine Use Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging 2024; 9:314-325. [PMID: 37619670 DOI: 10.1016/j.bpsc.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 07/14/2023] [Accepted: 08/01/2023] [Indexed: 08/26/2023]
Abstract
BACKGROUND Cocaine use disorder is associated with cognitive deficits that reflect dysfunctional processing across neural systems. Because there are currently no approved medications, treatment centers provide behavioral interventions that have only short-term efficacy. This suggests that behavioral interventions are not sufficient by themselves to lead to the maintenance of abstinence in patients with cocaine use disorder. Self-control, which includes the regulation of attention, is critical for dealing with many daily challenges that would benefit from medication interventions that can ameliorate cognitive neural disturbances. METHODS To address this important clinical gap, we conducted a randomized, double-blind, placebo-controlled, crossover design study in patients with cocaine use disorder (n = 23) and healthy control participants (n = 28). We assessed the modulatory effects of acute atomoxetine (40 mg) on attention and conflict monitoring and their associated neural activation and connectivity correlates during performance on the Eriksen flanker task. The Eriksen flanker task examines basic attentional processing using congruent stimuli and the effects of conflict monitoring and response inhibition using incongruent stimuli, the latter of which necessitates the executive control of attention. RESULTS We found that atomoxetine improved task accuracy only in the cocaine group but modulated connectivity within distinct brain networks in both groups during congruent trials. During incongruent trials, the cocaine group showed increased task-related activation in the right inferior frontal and anterior cingulate gyri, as well as greater network connectivity than the control group across treatments. CONCLUSIONS The findings of the current study support a modulatory effect of acute atomoxetine on attention and associated connectivity in cocaine use disorder.
Collapse
Affiliation(s)
- Liam J Nestor
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
| | - Maartje Luijten
- Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands
| | - Hisham Ziauddeen
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Fiona Stanley and Fremantle Hospital Group, Perth, Australia
| | - Ralf Regenthal
- Division of Clinical Pharmacology, Rudolf-Boehm-Institute of Pharmacology and Toxicology, Leipzig University, Leipzig, Germany
| | - Barbara J Sahakian
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Trevor W Robbins
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Karen D Ersche
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom; Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Mannheim, Germany.
| |
Collapse
|
3
|
Semeia L, Veit R, Zhao S, Luo S, Angelo B, Birkenfeld AL, Preissl H, Xiang AH, Kullmann S, Page KA. Influence of insulin sensitivity on food cue evoked functional brain connectivity in children. bioRxiv 2024:2024.02.12.579924. [PMID: 38405878 PMCID: PMC10888780 DOI: 10.1101/2024.02.12.579924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Objective Insulin resistance during childhood is a risk factor for developing type 2 diabetes and other health problems later in life. Studies in adults have shown that insulin resistance affects regional and network activity in the brain which are vital for behavior, e.g. ingestion and metabolic control. To date, no study has investigated whether brain responses to food cues in children are associated with peripheral insulin sensitivity. Methods We included 53 children (36 girls) between the age of 7-11 years, who underwent an oral Glucose Tolerance Test (oGTT) to estimate peripheral insulin sensitivity (ISI). Brain responses were measured using functional magnetic resonance imaging (fMRI) before and after glucose ingestion. We compared food-cue task-based activity and functional connectivity (FC) between children with low and high ISI, adjusted for age and BMIz. Results Independent of prandial state (i.e., glucose ingestion), children with lower ISI showed higher FC between the anterior insula and caudate and lower FC between the posterior insula and mid temporal cortex than children with higher ISI. Sex differences were found based on prandial state and peripheral insulin sensitivity in the insular FC. No differences were found on whole-brain food-cue reactivity. Conclusions Children with low peripheral insulin sensitivity showed differences in food cue evoked response particularly in insula functional connectivity. These differences might influence eating behavior and future risk of developing diabetes.
Collapse
Affiliation(s)
- Lorenzo Semeia
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Graduate Training Centre of Neuroscience, International Max Planck Research School, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Ralf Veit
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Sixiu Zhao
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Shan Luo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Brendan Angelo
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Hubert Preissl
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- Department of Pharmacy and Biochemistry, University of Tübingen, Germany
| | - Anny H Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany
- Department of Internal Medicine, Division of Endocrinology, Diabetology and Nephrology, Eberhard Karls University Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Kathleen A Page
- Division of Endocrinology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Diabetes and Obesity Research Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, USA
| |
Collapse
|
4
|
Ginieis R, Yan F, Franz EA, Peng M. Contrasting frontal cortical responses to food versus money rewards across BMI groups. Nutr Neurosci 2023:1-10. [PMID: 37603004 DOI: 10.1080/1028415x.2023.2245212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
Previous research has linked obesity with an altered perception of rewards. This study aimed to contrast frontal cortical activities across body mass index (BMI) groups, in responding to differential rewards (monetary versus food). A total of 60 male participants (27.43 ± 6.07 years of age; 21 normal weight [BMI: 18.5-24.9 kg·m-2]; 20 overweight [BMI: 25.0-29.9 kg·m-2]; and 19 individuals with obesity [BMI ≥ 30 kg·m-2]) were tested for their response bias towards food and money rewards using the Probabilistic Reward Task (PRT), while their frontal cortical responses were recorded using electroencephalography (EEG). The feedback-related negativity (FRN), a reliable measure of reward valuation and learning, was calculated for food (FRN(Food)) and money (FRN(Money)). Results indicate a left-lateralised frontal cortical activity associated with the food reward condition, in the group of overweight and obesity. In contrast, a right-lateralisation was observed in the money reward condition only in the group with obesity. More specifically, FRN(Food) was shown to significantly differ between left and right frontal cortical areas among individuals with obesity (p = 0.035) and overweight (p = 0.012), but not in normal-weight individuals (p = 0.153). Additionally, results revealed that FRN(Food) and FRN(Money) were significantly different for individuals with obesity (p = 0.019), but such a significant difference was not evident in the overweight and normal-weight individuals (p ≥ 0.05). These findings offer intriguing new insights into neuropsychological differentiation across BMI groups, adding to the understanding of obesity-related behaviour.
Collapse
Affiliation(s)
- Rachel Ginieis
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | - Fu Yan
- Department of Psychology, University of Otago, Dunedin, New Zealand
| | | | - Mei Peng
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand
| |
Collapse
|
5
|
Newton-Fenner A, Hewitt D, Henderson J, Roberts H, Mari T, Gu Y, Gorelkina O, Giesbrecht T, Fallon N, Roberts C, Stancak A. Economic value in the Brain: A meta-analysis of willingness-to-pay using the Becker-DeGroot-Marschak auction. PLoS One 2023; 18:e0286969. [PMID: 37428744 DOI: 10.1371/journal.pone.0286969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/29/2023] [Indexed: 07/12/2023] Open
Abstract
Forming and comparing subjective values (SVs) of choice options is a critical stage of decision-making. Previous studies have highlighted a complex network of brain regions involved in this process by utilising a diverse range of tasks and stimuli, varying in economic, hedonic and sensory qualities. However, the heterogeneity of tasks and sensory modalities may systematically confound the set of regions mediating the SVs of goods. To identify and delineate the core brain valuation system involved in processing SV, we utilised the Becker-DeGroot-Marschak (BDM) auction, an incentivised demand-revealing mechanism which quantifies SV through the economic metric of willingness-to-pay (WTP). A coordinate-based activation likelihood estimation meta-analysis analysed twenty-four fMRI studies employing a BDM task (731 participants; 190 foci). Using an additional contrast analysis, we also investigated whether this encoding of SV would be invariant to the concurrency of auction task and fMRI recordings. A fail-safe number analysis was conducted to explore potential publication bias. WTP positively correlated with fMRI-BOLD activations in the left ventromedial prefrontal cortex with a sub-cluster extending into anterior cingulate cortex, bilateral ventral striatum, right dorsolateral prefrontal cortex, right inferior frontal gyrus, and right anterior insula. Contrast analysis identified preferential engagement of the mentalizing-related structures in response to concurrent scanning. Together, our findings offer succinct empirical support for the core structures participating in the formation of SV, separate from the hedonic aspects of reward and evaluated in terms of WTP using BDM, and show the selective involvement of inhibition-related brain structures during active valuation.
Collapse
Affiliation(s)
- Alice Newton-Fenner
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
- Institute of Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
| | - Danielle Hewitt
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
- Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom
| | - Jessica Henderson
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Hannah Roberts
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Tyler Mari
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Yiquan Gu
- Henley Business School, University of Reading, Reading, United Kingdom
| | - Olga Gorelkina
- Management School, University of Liverpool, Liverpool, United Kingdom
| | - Timo Giesbrecht
- Unilever, Research and Development, Port Sunlight, United Kingdom
| | - Nicolas Fallon
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Carl Roberts
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Andrej Stancak
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
- Institute of Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom
| |
Collapse
|
6
|
Li G, Hu Y, Zhang W, Wang J, Ji W, Manza P, Volkow ND, Zhang Y, Wang GJ. Brain functional and structural magnetic resonance imaging of obesity and weight loss interventions. Mol Psychiatry 2023. [PMID: 36918706 DOI: 10.1038/s41380-023-02025-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/16/2023]
Abstract
Obesity has tripled over the past 40 years to become a major public health issue, as it is linked with increased mortality and elevated risk for various physical and neuropsychiatric illnesses. Accumulating evidence from neuroimaging studies suggests that obesity negatively affects brain function and structure, especially within fronto-mesolimbic circuitry. Obese individuals show abnormal neural responses to food cues, taste and smell, resting-state activity and functional connectivity, and cognitive tasks including decision-making, inhibitory-control, learning/memory, and attention. In addition, obesity is associated with altered cortical morphometry, a lowered gray/white matter volume, and impaired white matter integrity. Various interventions and treatments including bariatric surgery, the most effective treatment for obesity in clinical practice, as well as dietary, exercise, pharmacological, and neuromodulation interventions such as transcranial direct current stimulation, transcranial magnetic stimulation and neurofeedback have been employed and achieved promising outcomes. These interventions and treatments appear to normalize hyper- and hypoactivations of brain regions involved with reward processing, food-intake control, and cognitive function, and also promote recovery of brain structural abnormalities. This paper provides a comprehensive literature review of the recent neuroimaging advances on the underlying neural mechanisms of both obesity and interventions, in the hope of guiding development of novel and effective treatments.
Collapse
|
7
|
Zhang X, Wen K, Han J, Chen H. The Neural Processes in Food Decision-making and their Effect on Daily Diet Management in Successful and Unsuccessful Restrained Eaters. Neuroscience 2023; 517:1-17. [PMID: 36764599 DOI: 10.1016/j.neuroscience.2023.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 01/08/2023] [Accepted: 01/20/2023] [Indexed: 02/11/2023]
Abstract
This study aimed to explore the neural mechanisms underlying food decision making in unsuccessful restrained eaters (US-REs) and successful restrained eaters (S-REs). During a functional magnetic resonance imaging scan, participants were required to choose between pairs of high- and low-calorie foods under the following conditions: the congruent condition (choose between high- and low-calorie foods with the same level of tastiness) and incongruent condition (choose between high-calorie foods tastier than the corresponding low-calorie foods). Subsequently, the participants' diets were monitored for one week. The behavioral results showed that US-REs (n = 28) chose more high-calorie foods than S-REs (n = 26); in contrast, S-REs spent more time in choosing for the incongruent than the congruent condition. The fMRI results found that US-REs exhibited more activity in reward regions (caudate and thalamus) than S-REs in the congruent condition. In the incongruent condition, S-REs showed stronger functional connectivity between the conflict-monitoring region (anterior cingulate cortex) and inhibitory-control regions (inferior frontal gyrus [IFG] and medial frontal gyrus) than US-REs. In both the conditions, increased activation of the insula, putamen, middle frontal gyrus, and IFG could predict increased food intake among US-REs in the following week. Furthermore, in both the conditions, increased IFG activation could predict decreased food cravings among S-REs during the following week. Our results suggest that US-REs have a strong reward response to food. Compared to US-REs, S-REs are more guided more by the goal of weight control, and exhibit strong functional connections between the conflict-monitoring and inhibitory-control regions. Therefore, eating enjoyment and weight-control goals influence restrained eating in daily life.
Collapse
Affiliation(s)
- Xuemeng Zhang
- School of Psychology, Southwest University, Chongqing, China; Research Center for Brain and Cognitive Science, Chongqing Normal University, Chongqing, China
| | - Ke Wen
- Research Center for Brain and Cognitive Science, Chongqing Normal University, Chongqing, China
| | - Jinfeng Han
- School of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- School of Psychology, Southwest University, Chongqing, China.
| |
Collapse
|
8
|
Kavaliotis E, Boardman JM, Clark JW, Ogeil RP, Verdejo-García A, Drummond SPA. The relationship between sleep and appetitive conditioning: A systematic review and meta-analysis. Neurosci Biobehav Rev 2023; 144:105001. [PMID: 36529310 DOI: 10.1016/j.neubiorev.2022.105001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 11/24/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022]
Abstract
This systematic review and meta-analysis (PROSPERO registration animal/human studies: CRD42021234793/CRD42021234790) examined the relationship between sleep and appetitive conditioning. Inclusion criteria included: a) appetitive conditioning paradigm; b) measure of conditioning; c) sleep measurement and/or sleep loss; d) human and/etor non-human animal samples; and e) written in English. Searches of seven databases returned 3777 publications. The final sample consisted of 42 studies using primarily animal samples and involving food- and drug-related conditioning tasks. We found sleep loss disrupted appetitive conditioning of food rewards (p < 0.001) but potentiated appetitive conditioning of drug rewards (p < 0.001). Furthermore, sleep loss negatively impacted extinction learning irrespective of the reward type. Post-learning sleep was associated with increases in REM sleep (p = 0.02). Findings suggest sleep loss potentiates the impact of psychoactive substances in a manner likely to produce an increased risk of problematic substance use. In obese/overweight populations, sleep loss may be associated with deficits in the conditioning and extinction of reward-related behaviours. Further research should assess the relationship between sleep and appetitive conditioning in humans.
Collapse
Affiliation(s)
- Eleni Kavaliotis
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria 3800, Australia
| | - Johanna M Boardman
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria 3800, Australia
| | - Jacob W Clark
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria 3800, Australia
| | - Rowan P Ogeil
- Eastern Health Clinical School and Monash Addiction Research Centre, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria 3800, Australia; Turning Point, Eastern Health, Victoria 3121, Australia
| | - Antonio Verdejo-García
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria 3800, Australia
| | - Sean P A Drummond
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Victoria 3800, Australia.
| |
Collapse
|
9
|
Carr MM, Serowik KL, Na PJ, Potenza MN, Martino S, Masheb RM, Pietrzak RH. Co-occurring alcohol use disorder and obesity in U.S. military veterans: Prevalence, risk factors, and clinical features. J Psychiatr Res 2022; 150:64-70. [PMID: 35358833 DOI: 10.1016/j.jpsychires.2022.03.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 03/02/2022] [Accepted: 03/21/2022] [Indexed: 10/18/2022]
Abstract
Obesity and alcohol use disorder (AUD) are two of the most prevalent and costly clinical conditions among U.S. military veterans, and these conditions often co-occur. However, little is known about the clinical correlates of co-occurring obesity and AUD, which is critical to informing effective interventions. The current study analyzed data from a nationally representative sample of 4069 (3463 males, 479 females) veterans, who completed an online survey. The Alcohol Use Disorder Identification Test was used to identify veterans who screened positive for probable AUD (pAUD) and self-reported height and weight was used to calculate body mass index and identify veterans with obesity. Multinomial logistic regression was used to examine differences between four groups: controls (no current AUD or obesity), pAUD only, obesity only, and pAUD + obesity. A total of 1390 (36.1%) veterans had obesity, 10.5% (n = 359) had pAUD, and 3.7% (n = 124) had pAUD and obesity. Relative to veterans without AUD, Veterans with pAUD were less likely to have normal/lean weight (14.6% versus 21.4%) and more likely to have overweight (49.6% versus 41.7%). Veterans with pAUD + obesity were nearly twice as likely than veterans with pAUD to report three or more adverse childhood experiences. The results of this study help inform the clinical presentation and needs of veterans with co-occurring obesity and AUD. They also underscore the importance of regularly monitoring weight among veterans with AUD, and considering the role of childhood adversity as a risk factor for co-occurring AUD and obesity.
Collapse
Affiliation(s)
- Meagan M Carr
- U.S. Department of Veterans Affairs, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, USA; Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA.
| | - Kristin L Serowik
- U.S. Department of Veterans Affairs, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, USA; Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA
| | - Peter J Na
- Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA
| | - Marc N Potenza
- Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA; Department of Neuroscience, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA; Child Study Center, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA; Connecticut Council on Problem Gambling, Wethersfield, CT, 06109, USA; Connecticut Mental Health Center, 34 Park Street, New Haven, CT, 06519, USA
| | - Steve Martino
- U.S. Department of Veterans Affairs, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, USA; Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA
| | - Robin M Masheb
- U.S. Department of Veterans Affairs, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, USA; Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA
| | - Robert H Pietrzak
- U.S. Department of Veterans Affairs, VA Connecticut Healthcare System, 950 Campbell Ave., West Haven, CT, 06516, USA; Department of Psychiatry, Yale School of Medicine, 333 Cedar Street, New Haven, CT, 06511, USA; U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, VA Connecticut Healthcare System, 950 Campbell Ave., New Haven, CT, 06516, USA; Department of Social and Behavioral Sciences, Yale School of Medicine, 60 College St., New Haven, CT, 06510, USA
| |
Collapse
|
10
|
Syan SK, McIntyre-Wood C, Minuzzi L, Hall G, McCabe RE, MacKillop J. Dysregulated resting state functional connectivity and obesity: A systematic review. Neurosci Biobehav Rev 2021; 131:270-292. [PMID: 34425125 DOI: 10.1016/j.neubiorev.2021.08.019] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 07/13/2021] [Accepted: 08/17/2021] [Indexed: 12/16/2022]
Abstract
Obesity has been variously linked to differences in brain functional connectivity in regions associated with reward, emotional regulation and cognition, potentially revealing neural mechanisms contributing to its development and maintenance. This systematic review summarizes and critically appraises the existing literature on differences in resting state functional connectivity (Rs-FC) between overweight and individuals with obesity in relation healthy-BMI controls. Twenty-nine studies were identified and the results consistently support the hypothesis that obesity is associated with differences in Rs-FC. Specifically, obesity/overweight was consistently associated with (i) DMN hypoconnectivity and salience network hyperconnectivity; (ii) increased Rs-FC between the hypothalamus and reward, limbic and salience networks, and decreased Rs-FC between the hypothalamus and cognitive regions; (iii) increased power within regions associated with inhibition/emotional reasoning; (iv) decreased nodal efficiency, degree centrality, and global efficiency. Collectively, the results suggest obesity is associated with disrupted connectivity of brain networks responsible for cognition, reward, self-referential processing and emotional regulation.
Collapse
Affiliation(s)
- Sabrina K Syan
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada.
| | - Carly McIntyre-Wood
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada
| | - Luciano Minuzzi
- Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Randi E McCabe
- Anxiety Treatment and Research Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University & St. Joseph's Healthcare Hamilton, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| |
Collapse
|
11
|
Adise S, White CN, Roberts NJ, Geier CF, Keller KL. Children's inhibitory control abilities in the presence of rewards are related to weight status and eating in the absence of hunger. Appetite 2021; 167:105610. [PMID: 34324909 DOI: 10.1016/j.appet.2021.105610] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 07/01/2021] [Accepted: 07/23/2021] [Indexed: 12/26/2022]
Abstract
The Reflective-Impulsive Dual Processes Model suggests that overeating occurs when the temptation to consume food overrides inhibitory control processes. However, how rewards interact with inhibitory control and their relation to children's weight status and food intake is not understood. Here, 7-to-11-year-old children (n = 66; 32 overweight/obese) completed two versions (baseline [i.e., non-reward incentivized/control] and reward incentivized [food, money, no reward]) of a Go/Nogo task. Intake of palatable foods in the absence of hunger (i.e., eating in the absence of hunger-EAH) was measured following a standardized meal. A drift diffusion model was used to characterize children's performance parameters on the Go/Nogo. On the baseline Go/Nogo, children with higher weight status responded more cautiously, but on reward trials for food/money children were more cautions and made more false alarms relative to the no reward condition. Energy intake during EAH positively correlated with FA errors for food and money vs. no reward, but sex moderated this effect such that FA positively associated with EAH in girls but not boys. Independent of sex, FA for money vs. no reward and food vs. money were both positively associated with energy consumed during EAH. These results suggest that the presence of food and money rewards impair inhibitory control processing, especially in children with higher weight status. Further, increased inhibitory control impairment in response to food rewards, specifically, may be a risk factor for disinhibited eating in girls. Though preliminary, results may be useful in the development of targeted treatments to help moderate excess consumption in children.
Collapse
|
12
|
Barker ED, Ing A, Biondo F, Jia T, Pingault JB, Du Rietz E, Zhang Y, Ruggeri B, Banaschewski T, Hohmann S, Bokde ALW, Bromberg U, Büchel C, Quinlan EB, Sounga-Barke E, Bowling AB, Desrivières S, Flor H, Frouin V, Garavan H, Asherson P, Gowland P, Heinz A, Ittermann B, Martinot JL, Martinot MLP, Nees F, Papadopoulos-Orfanos D, Poustka L, Smolka MN, Vetter NC, Walter H, Whelan R, Schumann G. Do ADHD-impulsivity and BMI have shared polygenic and neural correlates? Mol Psychiatry 2021; 26:1019-1028. [PMID: 31227801 PMCID: PMC7910212 DOI: 10.1038/s41380-019-0444-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 04/29/2019] [Accepted: 05/03/2019] [Indexed: 01/29/2023]
Abstract
There is an extensive body of literature linking ADHD to overweight and obesity. Research indicates that impulsivity features of ADHD account for a degree of this overlap. The neural and polygenic correlates of this association have not been thoroughly examined. In participants of the IMAGEN study, we found that impulsivity symptoms and body mass index (BMI) were associated (r = 0.10, n = 874, p = 0.014 FWE corrected), as were their respective polygenic risk scores (PRS) (r = 0.17, n = 874, p = 6.5 × 10-6 FWE corrected). We then examined whether the phenotypes of impulsivity and BMI, and the PRS scores of ADHD and BMI, shared common associations with whole-brain grey matter and the Monetary Incentive Delay fMRI task, which associates with reward-related impulsivity. A sparse partial least squared analysis (sPLS) revealed a shared neural substrate that associated with both the phenotypes and PRS scores. In a last step, we conducted a bias corrected bootstrapped mediation analysis with the neural substrate score from the sPLS as the mediator. The ADHD PRS associated with impulsivity symptoms (b = 0.006, 90% CIs = 0.001, 0.019) and BMI (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. The BMI PRS associated with BMI (b = 0.014, 95% CIs = 0.003, 0.033) and impulsivity symptoms (b = 0.009, 90% CIs = 0.001, 0.025) via the neuroimaging substrate. A common neural substrate may (in part) underpin shared genetic liability for ADHD and BMI and the manifestation of their (observable) phenotypic association.
Collapse
Affiliation(s)
- Edward D Barker
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK.
| | - Alex Ing
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Francesca Biondo
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tianye Jia
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, Fudan University, Shanghai, China
| | | | - Ebba Du Rietz
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Yuning Zhang
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Barbara Ruggeri
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Edmund Sounga-Barke
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - April B Bowling
- School of Health Science, Merrimack College, 315 Turnpike Street North Andover, North Andover, MA, 01845, USA
| | - Sylvane Desrivières
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Vincent Frouin
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405, Burlington, VT, USA
| | - Philip Asherson
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Abbestr. 2 - 12, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes - Sorbonne Paris Cité; and Maison de Solenn, Paris, France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud, University Paris Descartes; Sorbonne Université; and AP-HP, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | - Dimitri Papadopoulos-Orfanos
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nora C Vetter
- Department of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany
| | - Henrik Walter
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Gunter Schumann
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Centre for Population Neuroscience and Stratified Medicine (PONS), MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK
| |
Collapse
|
13
|
Donofry SD, Stillman CM, Erickson KI. A review of the relationship between eating behavior, obesity and functional brain network organization. Soc Cogn Affect Neurosci 2020; 15:1157-1181. [PMID: 31680149 PMCID: PMC7657447 DOI: 10.1093/scan/nsz085] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 09/24/2019] [Accepted: 10/02/2019] [Indexed: 12/21/2022] Open
Abstract
Obesity is a major public health issue affecting nearly 40% of American adults and is associated with increased mortality and elevated risk for a number of physical and psychological illnesses. Obesity is associated with impairments in executive functions such as decision making and inhibitory control, as well as in reward valuation, which is thought to contribute to difficulty sustaining healthy lifestyle behaviors, including adhering to a healthy diet. Growing evidence indicates that these impairments are accompanied by disruptions in functional brain networks, particularly those that support self-regulation, reward valuation, self-directed thinking and homeostatic control. Weight-related differences in task-evoked and resting-state connectivity have most frequently been noted in the executive control network (ECN), salience network (SN) and default mode network (DMN), with obesity generally being associated with weakened connectivity in the ECN and enhanced connectivity in the SN and DMN. Similar disruptions have been observed in the much smaller literature examining the relationship between diet and disordered eating behaviors on functional network organization. The purpose of this narrative review was to summarize what is currently known about how obesity and eating behavior relate to functional brain networks, describe common patterns and provide recommendations for future research based on the identified gaps in knowledge.
Collapse
Affiliation(s)
- Shannon D Donofry
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, 15260, PA, USA
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Chelsea M Stillman
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
| | - Kirk I Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, 15213, PA, USA
- The Center for the Neural Basis of Cognition, Pittsburgh, 15213, PA, USA
- Discipline of Exercise Science, College of Science, Health, Engineering and Education, Murdoch University, Western Australia, 6150, Australia
| |
Collapse
|
14
|
Chen EY, Eickhoff SB, Giovannetti T, Smith DV. Obesity is associated with reduced orbitofrontal cortex volume: A coordinate-based meta-analysis. Neuroimage Clin 2020; 28:102420. [PMID: 32961404 PMCID: PMC7509458 DOI: 10.1016/j.nicl.2020.102420] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2019] [Revised: 09/03/2020] [Accepted: 09/04/2020] [Indexed: 01/01/2023]
Abstract
Neural models of obesity vary in their focus upon prefrontal and striatal differences. Animal and human studies suggest that differential functioning of the orbitofrontal cortex is associated with obesity. However, meta-analyses of functional neuroimaging studies have not found a clear relationship between the orbitofrontal cortex and obesity. Meta-analyses of structural imaging studies of obesity have shown mixed findings with regards to an association with reduced orbitofrontal cortex gray matter volume. To clarify these findings, we conducted a meta-analysis of 25 voxel-based morphometry studies, and found that greater body mass index is associated with decreased gray matter volume in the right orbitofrontal cortex (Brodmanns' areas 10 and 11), where family-wise corrected p < .05, N = 7,612. Use of the right orbitofrontal cortex as a seed in a Neurosynth Network Coactivation analysis showed that this region is associated with activity in the left frontal medial cortex, left temporal lobe, right precuneus cortex, posterior division of the left middle temporal gyrus, and right frontal pole. When Neurosynth Network Coactivation results were submitted as regions of interest in the Human Connectome Project data, we found that greater body mass index was associated with greater activity in left frontal medial cortex response to the Gambling Task, where p < .05, although this did not survive Bonferroni-correction. Our findings highlight the importance of the orbitofrontal cortex structure and functioning in neural models of obesity. Exploratory analyses suggest more studies are needed that examine the functional significance of reduced orbitofrontal cortex gray matter volume in obesity, and the effect of age and weight changes on this relationship using longitudinal designs.
Collapse
Affiliation(s)
| | - Simon B Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Germany
| | | | | |
Collapse
|
15
|
Reyes S, Rimkus CDM, Lozoff B, Biswal BB, Peirano P, Algarin C. Assessing cognitive control and the reward system in overweight young adults using sensitivity to incentives and white matter integrity. PLoS One 2020; 15:e0233915. [PMID: 32484819 PMCID: PMC7266313 DOI: 10.1371/journal.pone.0233915] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 05/14/2020] [Indexed: 11/18/2022] Open
Abstract
Cognitive control and incentive sensitivity are related to overeating and obesity. Optimal white matter integrity is relevant for an efficient interaction among reward-related brain regions. However, its relationship with sensitivity to incentives remains controversial. The aim of this study was to assess the incentive sensitivity and its relationship to white matter integrity in normal-weight and overweight groups. Seventy-six young adults participated in this study: 31 were normal-weight (body mass index [BMI] 18.5 to < 25.0 kg/m2, 14 females) and 45 were overweight (BMI ≥ 25.0 kg/m2, 22 females). Incentive sensitivity was assessed using an antisaccade task that evaluates the effect of incentives (neutral, reward, and loss avoidance) on cognitive control performance. Diffusion tensor imaging studies were performed to assess white matter integrity. The relationship between white matter microstructure and incentive sensitivity was investigated through tract-based spatial statistics. Behavioral antisaccade results showed that normal-weight participants presented higher accuracy (78.0 vs. 66.7%, p = 0.01) for loss avoidance incentive compared to overweight participants. Diffusion tensor imaging analysis revealed a positive relationship between fractional anisotropy and loss avoidance accuracy in the normal-weight group (p < 0.05). No relationship reached significance in the overweight group. These results support the hypothesis that white matter integrity is relevant for performance in an incentivized antisaccade task.
Collapse
Affiliation(s)
- Sussanne Reyes
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Carolina de Medeiros Rimkus
- Department of Radiology and Oncology, Laboratory of Medical Investigation (LIM-44), Faculty of Medicine, University of Sao Paulo, São Paulo, São Paulo, Brasil
| | - Betsy Lozoff
- Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Bharat B. Biswal
- Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, United States of America
| | - Patricio Peirano
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Cecilia Algarin
- Laboratory of Sleep and Functional Neurobiology, Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
- * E-mail:
| |
Collapse
|
16
|
Nestor LJ, Suckling J, Ersche KD, Murphy A, McGonigle J, Orban C, Paterson LM, Reed L, Taylor E, Flechais R, Smith D, Bullmore ET, Elliott R, Deakin B, Rabiner I, Hughes AL, Sahakian BJ, Robbins TW, Nutt DJ. Disturbances across whole brain networks during reward anticipation in an abstinent addiction population. Neuroimage Clin 2020; 27:102297. [PMID: 32505119 PMCID: PMC7270610 DOI: 10.1016/j.nicl.2020.102297] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 04/24/2020] [Accepted: 05/10/2020] [Indexed: 12/21/2022]
Abstract
Analytical methods can capture key features of whole brain networks in addiction. We compared reward network connectivity in addiction (ADD) and control (CON) groups. The ADD group showed disruptions in global network connectivity. Global network measures may be more sensitive than traditional voxel-wise analyses.
The prevalent spatial distribution of abnormalities reported in cognitive fMRI studies in addiction suggests there are extensive disruptions across whole brain networks. Studies using resting state have reported disruptions in network connectivity in addiction, but these studies have not revealed characteristics of network functioning during critical psychological processes that are disrupted in addiction populations. Analytic methods that can capture key features of whole brain networks during psychological processes may be more sensitive in revealing additional and widespread neural disturbances in addiction, that are the provisions for relapse risk, and targets for medication development. The current study compared a substance addiction (ADD; n = 83) group in extended abstinence with a control (CON; n = 68) group on functional MRI (voxel-wise activation) and global network (connectivity) measures related to reward anticipation on a monetary incentive delay task. In the absence of group differences on MID performance, the ADD group showed reduced activation predominantly across temporal and visual regions, but not across the striatum. The ADD group also showed disruptions in global network connectivity (lower clustering coefficient and higher characteristic path length), and significantly less connectivity across a sub-network comprising frontal, temporal, limbic and striatal nodes. These results show that an addiction group in extended abstinence exhibit localised disruptions in brain activation, but more extensive disturbances in functional connectivity across whole brain networks. We propose that measures of global network functioning may be more sensitive in highlighting latent and more widespread neural disruptions during critical psychological processes in addiction and other psychiatric disorders.
Collapse
Affiliation(s)
- Liam J Nestor
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom; Department of Psychiatry, University of Cambridge, United Kingdom
| | - John Suckling
- Department of Psychiatry, University of Cambridge, United Kingdom
| | - Karen D Ersche
- Department of Psychiatry, University of Cambridge, United Kingdom; Department of Psychology, University of Cambridge, United Kingdom
| | - Anna Murphy
- Neuroscience and Psychiatry Unit, University of Manchester, United Kingdom
| | - John McGonigle
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | - Csaba Orban
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | - Louise M Paterson
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | - Laurence Reed
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | - Eleanor Taylor
- Neuroscience and Psychiatry Unit, University of Manchester, United Kingdom
| | - Remy Flechais
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | - Dana Smith
- Department of Psychiatry, University of Cambridge, United Kingdom; Department of Psychology, University of Cambridge, United Kingdom
| | | | - Rebecca Elliott
- Neuroscience and Psychiatry Unit, University of Manchester, United Kingdom
| | - Bill Deakin
- Neuroscience and Psychiatry Unit, University of Manchester, United Kingdom
| | - Ilan Rabiner
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Anne-Lingford Hughes
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | | | - Trevor W Robbins
- Department of Psychiatry, University of Cambridge, United Kingdom; Department of Psychology, University of Cambridge, United Kingdom
| | - David J Nutt
- Neuropsychopharmacology Unit, Centre for Psychiatry, Imperial College London, United Kingdom
| | | |
Collapse
|
17
|
Piccolo M, Milos G, Bluemel S, Schumacher S, Müller-Pfeiffer C, Fried M, Ernst M, Martin-Soelch C. Effects of hunger on mood and affect reactivity to monetary reward in women with obesity - A pilot study. PLoS One 2020; 15:e0232813. [PMID: 32428002 PMCID: PMC7237012 DOI: 10.1371/journal.pone.0232813] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 04/22/2020] [Indexed: 11/18/2022] Open
Abstract
Worldwide, nearly 3 million people die every year because of being overweight or obese. Although obesity is a metabolic disease, behavioral aspects are important in its etiology. Hunger changes the rewarding potential of food in normal-weight controls. In obesity, impairments related to reward processing are present, but it is not clear whether these are due to mental disorders more common among this population. Therefore, in this pilot study, we aimed at investigating whether fasting influence mood reactivity to reward in people with obesity. Women with obesity (n = 11, all mentally healthy) and normal weight controls (n = 17) were compared on a computerized monetary reward task (the wheel of fortune), using self-reports of mood and affect (e.g., PANAS and mood evaluation during the task) as dependent variables. This task was done in 2 satiety conditions, during fasting and after eating. Partially, in line with our expectation of a reduced affect and mood reactivity to monetary reward in participants with obesity accentuated by fasting, our results indicated a significant within-group difference across time (before and after the task), with monetary gains significantly improving positive affect in healthy controls (p>0.001), but not in individuals with obesity (p = 0.32). There were no significant between-group differences in positive affect before (p = 0.328) and after (p = 0.70) the task. In addition, women with obesity, compared to controls, reported more negative affect in general (p < 0.05) and less mood reactivity during the task in response to risky gains (p < 0.001) than healthy controls. The latter was independent of the level of satiety. These preliminary results suggest an impairment in mood reactivity to monetary reward in women with obesity which is not connected to the fasting state. Increasing the reinforcing potential of rewards other than food in obesity may be one target of intervention in order to verify if that could reduce overeating.
Collapse
Affiliation(s)
- Mayron Piccolo
- Unit of Clinical and Health Psychology, University of Fribourg, Fribourg, Switzerland
- * E-mail: ,
| | - Gabriella Milos
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sena Bluemel
- Division of Gastroenterology and Hepatology, University Hospital of Zurich, Zurich, Switzerland
| | - Sonja Schumacher
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Christoph Müller-Pfeiffer
- Department of Consultation-Liaison-Psychiatry and Psychosomatic Medicine, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Michael Fried
- Division of Gastroenterology and Hepatology, University Hospital of Zurich, Zurich, Switzerland
- Zurich Center for Integrative Human Physiology, Zurich, Switzerland
| | - Monique Ernst
- Section on Neurobiology of Fear and Anxiety, National Institutes of Mental Health, Bethesda, Maryland, United States America
| | - Chantal Martin-Soelch
- Unit of Clinical and Health Psychology, University of Fribourg, Fribourg, Switzerland
| |
Collapse
|
18
|
Abstract
OBJECTIVE Obesity is associated with differences in task-evoked and resting-state functional brain connectivity (FC). However, no studies have compared obesity-related differences in FC evoked by high-calorie food cues from that observed at rest. Such a comparison could improve our understanding of the neural mechanisms of reward valuation and decision making in the context of obesity. METHODS The sample included 122 adults (78% female; mean age = 44.43 [8.67] years) with body mass index (BMI) in the overweight or obese range (mean = 31.28 [3.92] kg/m). Participants completed a functional magnetic resonance imaging scan that included a resting period followed by a visual food cue task. Whole-brain FC analyses examined seed-to-voxel signal covariation during the presentation of high-calorie food and at rest using seeds located in the left and right orbitofrontal cortex, left hippocampus, and left dorsomedial prefrontal cortex. RESULTS For all seeds examined, BMI was associated with stronger FC during the presentation of high-calorie food, but weaker FC at rest. Regions exhibiting BMI-related modulation of signal coherence in the presence of palatable food cues were largely located within the default mode network (z range = 2.34-4.91), whereas regions exhibiting BMI-related modulation of signal coherence at rest were located within the frontostriatal and default mode networks (z range = 3.05-4.11). All FC results exceeded a voxelwise threshold of p < .01 and cluster-defining familywise error threshold of p < .05. CONCLUSIONS These dissociable patterns of FC may suggest separate neural mechanisms contributing to variation in distinct cognitive, psychological, or behavioral domains that may be related to individual differences in risk for obesity.
Collapse
Affiliation(s)
- Shannon D Donofry
- From the Department of Psychiatry (Donofry), University of Pittsburgh School of Medicine; Departments of Psychology (Donofry, Watt, Roecklein, Erickson) and Health and Physical Activity (Jakicic, Rogers), and Healthy Lifestyle Institute (Jakicic, Rogers), University of Pittsburgh; and The Center for the Neural Basis of Cognition (Roecklein, Erickson), Pittsburgh, Pennsylvania
| | | | | | | | | | | |
Collapse
|
19
|
Contreras-Rodriguez O, Mata F, Verdejo-Román J, Ramírez-Bernabé R, Moreno D, Vilar-Lopez R, Soriano-Mas C, Verdejo-García A. Neural-based valuation of functional foods among lean and obese individuals. Nutr Res 2020; 78:27-35. [PMID: 32438221 DOI: 10.1016/j.nutres.2020.03.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 02/28/2020] [Accepted: 03/26/2020] [Indexed: 01/28/2023]
Abstract
Functional foods may contribute to establish healthy eating habits and reduce obesity and related comorbidities. Differences in the brain mechanisms underpinning the valuation of functional foods in individuals with excess weight may inform the development of attractive functional foods. We aimed to compare brain function during the Willingness to Pay task for functional vs standard foods between individuals with healthy weight (HW), overweight (OW), and obesity (OB). We hypothesized that, in participants with OB, willingness to pay for functional foods would evoke greater activation/connectivity in brain regions previously associated with subjective value. Thirty-six HW, 19 OW, and 20 OB adults performed a functional magnetic resonance imaging-Willingness to Pay task that requires them to decide how much they would pay for presented standard and functional food images tasted in a previous buffet. Whole-brain analyses compared task-related activation and connectivity between participants with OB, OW, and HW. Individuals with OB, relative to HW, showed more similar willingness to pay for functional and standard food. At the brain level, they also showed hyperactivation in the ventral posterior cingulate cortex and the right angular gyrus, as well as an increased functional connectivity between the ventral posterior cingulate cortex and the intraparietal cortices to the valuation of the functional vs the standard foods. Increased willingness to pay for functional foods in people with excessive weight may be driven by recruitment of brain regions that direct attention to internal goals.
Collapse
Affiliation(s)
- Oren Contreras-Rodriguez
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM-17, Barcelona, Spain; Turner Institute for Brain and Mental Health, Monash University, Melbourne, Australia
| | - Fernanda Mata
- BehaviourWorks Australia, Monash Sustainable Development Institute, Monash University, Melbourne, Australia
| | | | | | - Daniel Moreno
- Agro-food Technological Institute of Extremadura (INTAEX), Badajoz, Spain
| | | | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM-17, Barcelona, Spain; Department of Psychobiology and Methodology of Health Sciences, Autonomous University of Barcelona, Barcelona, Spain
| | | |
Collapse
|
20
|
Nestor LJ, Behan B, Suckling J, Garavan H. Cannabis-dependent adolescents show differences in global reward-associated network topology: A functional connectomics approach. Addict Biol 2020; 25:e12752. [PMID: 30957353 DOI: 10.1111/adb.12752] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/05/2019] [Accepted: 03/11/2019] [Indexed: 12/11/2022]
Abstract
Adolescence may be a period of increased vulnerability to the onset of drug misuse and addiction due to changes in developing brain networks that support cognitive and reward processing. Cannabis is a widely misused illicit drug in adolescence which can lead to dependence and alterations in reward-related neural functioning. Concerns exist that cannabis-related alterations in these reward networks in adolescence may sensitize behaviour towards all forms of reward that increase the risk of further drug use. Taking a functional connectomics approach, we compared an acutely abstinent adolescent cannabis-dependent (CAN) group with adolescent controls (CON) on global measures of network topology associated with anticipation on a monetary incentive delay task. In the presence of overall superior accuracy, the CAN group exhibited superior global connectivity (clustering coefficient, efficiency, characteristic path length) during monetary gain anticipation compared with the CON group. Additional analyses showed that the CAN group exhibited significantly greater connectivity strength during monetary gain anticipation across a subnetwork that included mesocorticolimbic nodes involving both interhemispheric and intrahemispheric connections. We discuss how these differences in reward-associated connectivity may allude to subtle functional alterations in network architecture in adolescent cannabis-dependence that could enhance the motivation for nondrug reward during acute abstinence.
Collapse
Affiliation(s)
- Liam J. Nestor
- Neuropsychopharmacology UnitImperial College London London UK
- School of Psychology and Institute of NeuroscienceTrinity College Dublin Dublin Ireland
- Department of PsychiatryUniversity of Cambridge Cambridge UK
| | - Brendan Behan
- School of Psychology and Institute of NeuroscienceTrinity College Dublin Dublin Ireland
| | - John Suckling
- Department of PsychiatryUniversity of Cambridge Cambridge UK
| | - Hugh Garavan
- School of Psychology and Institute of NeuroscienceTrinity College Dublin Dublin Ireland
- Department of PsychiatryUniversity of Vermont Burlington Vermont USA
| |
Collapse
|
21
|
Ely AV, Jagannathan K, Hager N, Ketcherside A, Franklin TR, Wetherill RR. Double jeopardy: Comorbid obesity and cigarette smoking are linked to neurobiological alterations in inhibitory control during smoking cue exposure. Addict Biol 2020; 25:e12750. [PMID: 31069895 DOI: 10.1111/adb.12750] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 02/24/2019] [Accepted: 03/02/2019] [Indexed: 12/14/2022]
Abstract
Obesity and cigarette smoking are two of the leading preventable causes of death in the United States. Research suggests that overlapping pathophysiology may contribute to obesity and nicotine use disorder (NUD), yet no studies have investigated the effect of obesity on neural response to reward stimuli in NUD. This study used arterial spin-labeled perfusion functional magnetic resonance imaging (fMRI) to examine neural responses during exposure to smoking versus nonsmoking cues in 79 treatment-seeking participants with NUD, 26 with normal weight, 28 with overweight, and 25 with obesity. Given that deficits in behavioral inhibitory control have been associated with both obesity and NUD, participants completed an affect-congruent Go/NoGo task to assess the effect of body mass index (BMI) on this construct in NUD. Analyses revealed that BMI was negatively associated with activation in the right dorsolateral prefrontal cortex (dlPFC) in response to smoking cues, with significantly reduced response in smokers with overweight and smokers with obesity compared with normal-weight smokers. In addition, greater commission errors on the Go/NoGo task were correlated with reduced neural response to smoking cues in the right dlPFC only among those with obesity. Together, these findings provide evidence that obesity in treatment-seeking NUDs is related to neurobiological alterations in inhibitory control over cue-potentiated behaviors, suggesting that smoking cessation may be more difficult in individuals with comorbid NUD and obesity than in those without, requiring treatment strategies tailored to meet their unique needs.
Collapse
Affiliation(s)
- Alice V. Ely
- Department of PsychiatryChristiana Care Health System Newark DE USA
| | | | - Nathan Hager
- Department of PsychiatryUniversity of Pennsylvania Philadelphia PA USA
| | - Ariel Ketcherside
- Department of PsychiatryUniversity of Pennsylvania Philadelphia PA USA
| | | | | |
Collapse
|
22
|
Abstract
In humans, food is considered a powerful primary reinforcer, whereas money is a secondary reinforcer, as it gains a value through learning experience. Here, we aimed to identify the neural regions supporting the processing of food-related reinforcers, relate it to the neural underpinnings of monetary reinforcers, and explore their modulation by metabolic state (hunger vs satiety). Twenty healthy male participants were tested in two experimental sessions, once hungry and once satiated, using functional magnetic resonance imaging. Participants performed an associative learning task, receiving food or monetary rewards (in the form of images) on separate blocks. Irrespective of incentive type, both food and monetary rewards engaged ventral striatum, medial orbitofrontal cortex and amygdala, regions that have been previously associated with reward processing. Food incentives additionally engaged the opercular part of the inferior frontal gyrus and the insula, collectively known as a primary gustatory cortex. Moreover, in response to negative feedback (here, reward omission), robust activation was observed in anterior insula, supplementary motor area and lateral parts of the prefrontal cortex, including middle and inferior frontal gyrus. Furthermore, the interaction between metabolic state and incentive type resulted in supramarginal gyrus (SMG) activity, among other motor and sensory-related regions. Finally, functional connectivity analysis showed correlation in the hungry state between the SMG and mesolimbic regions, including the hippocampus, midbrain and cingulate areas. Also, the interaction between metabolic state and incentive type revealed coupling between SMG and ventral striatum. Whereas general purpose reward-related regions process incentives of different kinds, the current results suggest that the SMG might play a key role in integrating the information related to current metabolic state and available incentive type.
Collapse
Affiliation(s)
- Mushfa Yousuf
- Department of Neurology, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Martin Göttlich
- Department of Neurology, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany.
- Institute of Psychology II, Universität zu Lübeck, Lübeck, Germany.
| | - Nuria Doñamayor
- Department of Neurology, University of Lübeck, Ratzeburger Allee 160, 23538, Lübeck, Germany
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| |
Collapse
|
23
|
Kakoschke N, Lorenzetti V, Caeyenberghs K, Verdejo-García A. Impulsivity and body fat accumulation are linked to cortical and subcortical brain volumes among adolescents and adults. Sci Rep 2019; 9:2580. [PMID: 30796265 PMCID: PMC6385240 DOI: 10.1038/s41598-019-38846-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 01/10/2019] [Indexed: 12/31/2022] Open
Abstract
Obesity is associated not only with metabolic and physical health conditions, but with individual variations in cognition and brain health. This study examined the association between body fat (an index of excess weight severity), impulsivity (a vulnerability factor for obesity), and brain structure among adolescents and adults across the body mass index (BMI) spectrum. We used 3D T1 weighted anatomic magnetic resonance imaging scans to map the association between body fat and volumes in regions associated with obesity and impulsivity. Participants were 127 individuals (BMI: 18–40 kg/m2; M = 25.69 ± 5.15), aged 14 to 45 years (M = 24.79 ± 9.60; female = 64). Body fat was measured with bioelectric impendence technology, while impulsivity was measured with the UPPS-P Impulsive Behaviour Scale. Results showed that higher body fat was associated with larger cerebellar white matter, medial orbitofrontal cortex (OFC), and nucleus accumbens volume, although the latter finding was specific to adolescents. The relationship between body fat and medial OFC volume was moderated by impulsivity. Elevated impulsivity was also associated with smaller amygdala and larger frontal pole volumes. Our findings link vulnerability and severity markers of obesity with neuroanatomical measures of frontal, limbic and cerebellar structures, and unravel specific links between body fat and striatal volume in adolescence.
Collapse
Affiliation(s)
- Naomi Kakoschke
- School of Psychological Sciences & Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia
| | - Valentina Lorenzetti
- School of Psychology, Faculty of Health Sciences, Australian Catholic University, Melbourne, Victoria, Australia
| | - Karen Caeyenberghs
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Antonio Verdejo-García
- School of Psychological Sciences & Monash Institute of Cognitive and Clinical Neurosciences, Monash University, Melbourne, Victoria, Australia.
| |
Collapse
|
24
|
Adise S, Geier CF, Roberts NJ, White CN, Keller KL. Food or money? Children's brains respond differently to rewards regardless of weight status. Pediatr Obes 2019; 14:e12469. [PMID: 30239165 DOI: 10.1111/ijpo.12469] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Revised: 07/12/2018] [Accepted: 07/17/2018] [Indexed: 01/23/2023]
Abstract
BACKGROUND Brain responses to both food and monetary rewards have been linked to weight gain and obesity in adults, suggesting that general sensitivity to reward contributes to overeating. However, the relationship between brain reward response and body weight in children is unclear. OBJECTIVE The objective of this study was to assess the brain's response to multiple rewards and the relationship to body weight in children. METHODS We tested this by performing functional magnetic resonance imaging while children (7- to 11-years-old; healthy weight [n = 31], overweight/obese [n = 30]) played a modified card-guessing task to assess blood-oxygen-level-dependent (BOLD) response to anticipating and winning food and money rewards. Functional magnetic resonance imaging data were analysed using a region of interest and exploratory whole-brain approach. RESULTS Region of interest results demonstrated increased BOLD response in the striatum to anticipating food vs. neutral (control) and winning money vs. neutral. Whole-brain data showed that winning money vs. food was associated with increased activation in the striatum, as well as regions associated with cognitive control and emotion. Notably, for both approaches, these effects were independent of child weight status. Additionally, children's reported food responsiveness and emotional overeating were negatively correlated with the BOLD response in the left cingulate gyrus for winning food vs. money. CONCLUSION Overall, findings from this study show that regions associated with reward, cognitive control and emotion may play a role in the brain's response to food and money rewards, independently of how much the child weighs. These findings provide insight into reward sensitivity in children, which may have implications for understanding overeating and the development of obesity.
Collapse
Affiliation(s)
- S Adise
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA
| | - C F Geier
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - N J Roberts
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, USA
| | - C N White
- Department of Psychology, Missouri Western State University, St. Joseph, MO, USA
| | - K L Keller
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, USA.,Department of Food Science, The Pennsylvania State University, University Park, PA, USA
| |
Collapse
|
25
|
Abstract
Obesity is associated with a diverse array of cognitive and affective deficits, among which impairments in food valuation and choices have received increasing attention. The neural underpinnings of such impairments, however, remain poorly understood, partly because a complete understanding of these processes under normal conditions has yet to be achieved. A rapidly growing literature on the interaction between memory and decision-making has begun to highlight the integral role of memory in decision making especially in the real world, as well as the role of the hippocampus in supporting flexible decision making. Perhaps not coincidentally, altered memory performances in obesity have been well documented, and the underlying neurobiological bases of these memory alterations have also started to be better described, involving pathologies at the biochemical, cellular, and circuit levels. Despite such correspondence, the link between memory impairments and food valuation/choice deficits in obesity has received little attention. In this article, we first summarize the growing empirical support for the relevance of memory for decision making, focusing on flexible value-based decisions. We then describe converging evidence on different forms of memory impairments accompanying obesity. Building on these findings, we formulate a general neuropsychological framework and discuss how dysfunctions in the formation and retrieval of memory may interfere with adaptive decision making for food. Finally, we stress the important practical implications of this framework, arguing that memory deficits are likely a significant contributor to suboptimal food purchase and eating behavior exhibited by obese individuals.
Collapse
Affiliation(s)
- Zhihao Zhang
- Haas School of Business, University of California, Berkeley, Berkeley, CA, United States.,Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Géraldine Coppin
- Swiss Center for Affective Sciences, University of Geneva, Geneva, Switzerland.,Laboratory for the Study of Emotion Elicitation and Expression, Department of Psychology, University of Geneva, Geneva, Switzerland.,Department of Psychology, Distance Learning University Switzerland (Unidistance), Brig, Switzerland
| |
Collapse
|
26
|
Adise S, Geier CF, Roberts NJ, White CN, Keller KL. Is brain response to food rewards related to overeating? A test of the reward surfeit model of overeating in children. Appetite 2018; 128:167-179. [PMID: 29890186 DOI: 10.1016/j.appet.2018.06.014] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/15/2018] [Accepted: 06/07/2018] [Indexed: 01/18/2023]
Abstract
The reward surfeit model of overeating suggests that heightened brain response to rewards contributes to overeating and subsequent weight gain. However, previous studies have not tested whether brain response to reward is associated with food intake, particularly during childhood, a period of dynamic development in reward and inhibitory control neurocircuitry. We conducted functional magnetic resonance imaging (fMRI) with 7-11-year-old children (n = 59; healthy weight, n = 31; overweight, n = 28; 54% female) while they played a modified card-guessing paradigm to examine blood-oxygen-level-dependent (BOLD) response to anticipating and winning rewards (food, money, neutral). Food intake was assessed at three separate meals that measured different facets of eating behavior: 1) typical consumption (baseline), 2) overindulgence (palatable buffet), and 3) eating in the absence of hunger (EAH). A priori regions of interest included regions implicated in both reward processing and inhibitory control. Multiple stepwise regressions were conducted to examine the relationship between intake and BOLD response to rewards. Corrected results showed that a greater BOLD response in the medial prefrontal cortex for anticipating food compared to money positively correlated with how much children ate at the baseline and palatable buffet meals. BOLD response in the dorsolateral prefrontal cortex for winning food compared to money was positively correlated with intake at the palatable buffet meal and EAH. All aforementioned relationships were independent of child weight status. Findings support the reward surfeit model by showing that increased brain response to food compared to money rewards positively correlates with laboratory measures of food intake in children.
Collapse
Affiliation(s)
- Shana Adise
- Department of Nutritional Sciences, The Pennsylvania State University, 110 Chandlee Laboratory, University Park, PA, 16802, USA
| | - Charles F Geier
- Department of Human Development and Family Studies, The Pennsylvania State University, 119 Health and Human Development Bldg, University Park, PA, 16802, USA
| | - Nicole J Roberts
- Department of Human Development and Family Studies, The Pennsylvania State University, 119 Health and Human Development Bldg, University Park, PA, 16802, USA
| | - Corey N White
- Department of Psychology, Missouri Western State University, Murphy Hall 217, St. Joseph, MO, 64507, USA
| | - Kathleen L Keller
- Department of Nutritional Sciences, The Pennsylvania State University, 110 Chandlee Laboratory, University Park, PA, 16802, USA; Department of Food Science, The Pennsylvania State University, 202 Rodney A. Erickson Food Science Building, University Park, PA, 16802, USA.
| |
Collapse
|
27
|
Yang Y, Shields GS, Guo C, Liu Y. Executive function performance in obesity and overweight individuals: A meta-analysis and review. Neurosci Biobehav Rev 2018; 84:225-244. [DOI: 10.1016/j.neubiorev.2017.11.020] [Citation(s) in RCA: 238] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 09/08/2017] [Accepted: 11/30/2017] [Indexed: 01/18/2023]
|
28
|
Chen R, Li DP, Turel O, Sørensen TA, Bechara A, Li Y, He Q. Decision Making Deficits in Relation to Food Cues Influence Obesity: A Triadic Neural Model of Problematic Eating. Front Psychiatry 2018; 9:264. [PMID: 29962976 PMCID: PMC6010920 DOI: 10.3389/fpsyt.2018.00264] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 05/28/2018] [Indexed: 12/11/2022] Open
Abstract
In this review article we propose a model of the brain systems, the deficiency of which may underlie problematic eating. This integrative model is based on studies that have focused on discrete brain components involved in problematic eating, combined with insights from studies on the neurocognitive basis of other addictive and problematic behaviors. The model includes: (a) a hyper-functioning reward anticipation and processing system (amygdala-striatum dependent) in response to food-related cues; (b) a hypo-functioning reflective and inhibitory control system (prefrontal cortex dependent), that fails to anticipate and properly weigh future outcomes; and (c) an altered interoceptive awareness system (insular cortex dependent) that translates homeostatic violation signals into a strong consumption desire that hijacks the inhibitory system and excites the reward system. We posit that when the abovementioned systems are imbalanced in such a way that the dopamine axis is hyperactive in relation to food cues and the inhibitory system is weak, and this is further aggravated by an altered interoceptive awareness system, people may experience loss of control or inability to resist tempting/rewarding foods. This loss of control over food consumption can explain, at least in part, the development of excess weight and contribute to the obesity epidemic.
Collapse
Affiliation(s)
- Rui Chen
- Faculty of Psychology, Southwest University, Chongqing, China
| | - Danni P Li
- Sino-Danish Center for Education and Research, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Center of Functionally Integrative Neuroscience, Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ofir Turel
- College of Business and Economics, California State University, Fullerton, Fullerton, CA, United States.,Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Thomas A Sørensen
- Center of Functionally Integrative Neuroscience, Institute for Clinical Medicine, Aarhus University, Aarhus, Denmark.,Department of Communication and Psychology, Centre for Cognitive Neuroscience, Aalborg University, Aalborg, Denmark
| | - Antoine Bechara
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Yonghui Li
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.,Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Qinghua He
- Faculty of Psychology, Southwest University, Chongqing, China.,Department of Psychology, University of Southern California, Los Angeles, CA, United States.,Chongqing Collaborative Innovation Center for Brain Science, Chongqing, China
| |
Collapse
|