Mesolimbic connectivity signatures of impulsivity and BMI in early adolescence

Sharkey, Rachel; Bourque, Josiane; Larcher, Kevin; Mišić, Bratislav; Altınkaya, Ayça; Sadikot, Abbas F.; Conrod, Patricia J.; Evans, Alan C.; Garavan, Hugh; Leyton, Marco; Séguin, Jean R.; Pihl, Robert O.

doi:10.1016/j.appet.2018.09.019

Cited by 11 publications

(8 citation statements)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We considered that the aggravated NI that occurred in these regions after CPA training might cause the downregulation of mesolimbic dopamine system and account for the reinforcement of withdrawal memory and escape behavior. However, the connection between the mesolimbic system and other brain regions may also have a neuropsychological effect, such as the trait impulsivity and sensation-seeking that are regulated by the connection between the mesolimbic and the prefrontal cortex [ 49 ]. The connection of the nucleus accumbens with the ventral tegmental area and the lateral hypothalamus in mesolimbic system could cause hedonic feeding as well [ 50 ].…”

Section: Discussionmentioning

confidence: 99%

Alteration of neuroinflammation detected by 18F-GE180 PET imaging in place-conditioned rats with morphine withdrawal

Shao

Jiang

et al. 2021

EJNMMI Res

View full text Add to dashboard Cite

Background Accumulating evidence indicates that neuroinflammation (NI) significantly contributes to drug addiction, but the conversion of NI after drug withdrawal is not clear. Here, we conducted 18F-flutriciclamide (GE180) positron emission tomography (PET) imaging to investigate the conversion of NI during drug withdrawal and conditioning-induced aversion by measuring the change in microglial activation with 18F-GE180. Methods Twelve male adult Sprague–Dawley rats were subjected to morphine withdrawal by the administration of naloxone, and six of them were used to model conditioned place aversion (CPA). 18F-GE180 PET imaging was performed for 11 rats on the last day of the morphine treatment phase and for 10 rats on the response assessment phase of the behavior conditioning procedure. A 18F-GE180 template was established for spatial normalization of each individual image, and the differential 18F-GE180 uptakes between the drug withdrawal (DW) group and the drug addiction (DA) group, the CPA group and the DA group, and the CPA group and the DW group were compared by a voxel-wise two-sample t test using SPM8. Results Both the DW group and the CPA group spent less time in the conditioning cage during the post-test phase compared with the pretest phase, but only the difference in the CPA group was significant (63.2 ± 34.6 vs. − 159.53 ± 22.02, P < 0.005). Compared with the DA group, the uptake of 18F-GE180 increased mainly in the hippocampus, visual cortex, thalamus and midbrain regions and decreased mainly in the sensory-related cortices after the administration of naloxone in both the DW and CPA groups. Increased 18F-GE180 uptake was only observed in the mesolimbic regions after conditioned aversion compared with the DW group. Conclusion In morphine-dependent rats, Neuroinflammation (NI) became more severe in the addiction-involved brain regions but remitted in the sensory-related brain regions after the administration of naloxone, and this NI induced by withdrawal was further aggravated after conditioned aversion formation thus may help to consolidate the withdrawal memory.

show abstract

Section: Discussionmentioning

confidence: 99%

Alteration of neuroinflammation detected by 18F-GE180 PET imaging in place-conditioned rats with morphine withdrawal

Shao

Jiang

et al. 2021

EJNMMI Res

View full text Add to dashboard Cite

show abstract

“…Neurobiological systems associated with fooddirected impulse control based on rodent data include (but are not limited to) GABAergic neurons in the ACB core (187), opioid receptor signaling in the PFCm (188), ACB delta FosB-associated signaling pathways (189), and projections from the ventral part of the HPF (HPFv) to the PFCm (190,191) and the ACB (192). Human neuroimaging studies also highlight the importance of the dorsolateral region of the PFC in impulse control (193), as well as striatal connections with the HPF, amygdala and parahippocampal gyri (194).…”

Section: Impulsivitymentioning

confidence: 99%

The physiological control of eating: signals, neurons, and networks

Watts

Kanoski

Sanchez‐Watts

et al. 2022

Physiological Reviews

View full text Add to dashboard Cite

During the past 30 years, investigating the physiology of eating behaviors has generated a truly vast literature. This is fueled in part by a dramatic increase in obesity and its comorbidities that has coincided with an ever increasing sophistication of genetically based manipulations. These techniques have produced results with a remarkable level of cell-specificity-particularly at the cell signaling level-and have played a lead role in advancing the field. However, putting these findings into a brain-wide context that connects physiological signals and neurons to behavior and somatic physiology requires a thorough consideration of neuronal connections; a field that has also seen an extraordinary technological revolution. Our goal is to present a comprehensive and balanced assessment of how physiological signals associated with energy homeostasis interact at many brain levels to control eating behaviors. A major theme is that these signals engage sets of interacting neural networks throughout the brain, that are defined by specific neural connections. We begin by discussing some fundamental concepts-including ones that still engender vigorous debate-that provide the necessary frameworks for understanding how the brain controls meal initiation and termination. These include: key word definitions, ATP availability as the pivotal regulated variable in energy homeostasis, neuropeptide signaling, homeostatic and hedonic eating, and meal structure. Within this context, we discuss network models of how key regions in the endbrain (or telencephalon), hypothalamus, hindbrain, medulla, vagus nerve, and spinal cord work together with the gastrointestinal tract to enable the complex motor events that permit animals to eat in diverse situations.

show abstract

“…In addition to the previous steps, detrending, nuisance regression of white matter and cerebrospinal fluid, independent component analysis (ICA) based denoising, and smoothing using a 6-mm kernel were applied to the resting state time series. A detailed description of preprocessing steps is reported elsewhere (Sharkey et al, 2019).…”

Section: Image Acquisition and Preprocessingmentioning

confidence: 99%

Adolescent Resting-State Brain Networks and Unique Variability of Conduct Problems Within the Externalizing Dimension

Afzali

Edalati

Bourque

et al. 2020

Journal of Personality Disorders

Self Cite

View full text Add to dashboard Cite

The externalizing psychopathological dimension is associated with alterations in adolescents’ functional brain connectivity. The current study aims to identify the functional correlates of the unique variability in conduct problems within the context of the broad externalizing dimension. The broad externalizing dimension and unique variability in conduct problems were estimated using a bifactor model. Resting-state data were available for a sample of 125 adolescents. Based on multiresolution parcellation of functional brain networks atlas, major resting-state functional brain networks and the connectivity correlates of unique conduct problems and the broad externalizing dimension were established. The broad externalizing dimension was related to connectivity alterations in the ventral attention/salience network, while unique variability in conduct problems dimension was related to connectivity alterations in the cerebellum crusi as well as the mesolimbic network. The current study is a first step toward the identification of functional resting-state network correlates of broad and specific variability in the externalizing dimension.

show abstract

Mesolimbic connectivity signatures of impulsivity and BMI in early adolescence

Cited by 11 publications

References 90 publications

Alteration of neuroinflammation detected by 18F-GE180 PET imaging in place-conditioned rats with morphine withdrawal

Alteration of neuroinflammation detected by 18F-GE180 PET imaging in place-conditioned rats with morphine withdrawal

The physiological control of eating: signals, neurons, and networks

Adolescent Resting-State Brain Networks and Unique Variability of Conduct Problems Within the Externalizing Dimension

Contact Info

Product

Resources

About