Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
International Journal of Clinical and Health Psychology, Journal Year: 2025, Volume and Issue: 25(1), P. 100541 - 100541
Published: Jan. 1, 2025
The vicious circle model of obesity proposes that the hippocampus plays a crucial role in food reward processing and obesity. However, few studies focused on whether how pediatric influences potential direction information exchange between key regions, as well these alterations neural interaction could predict future BMI eating behaviors. In this longitudinal study, total 39 children with excess weight (overweight/obesity) 51 normal weight, aged 8 to 12, underwent resting-state fMRI. One year later, we conducted follow-up assessments behaviors BMI. Resting-state functional connectivity spectral dynamic casual modeling (spDCM) technique were used examine altered effective (EC) overweight/obesity. Linear support vector regression, machine learning method, was employed further investigate sensitive hippocampal connections at baseline Compared controls, displayed abnormal bidirectional inhibitory effects right left postcentral gyrus (PoCG), is, stronger hippocampus→PoCG EC but weaker PoCG→hippocampus EC, which predicted approach behavior one later. These findings point particularly important somatosensory cortex behavior, provide novel insights into hierarchical mechanisms underlying childhood expand spDCM adult by identifying directionality circuits associated appetitive regulation.
Language: Английский
Citations
0Appetite, Journal Year: 2025, Volume and Issue: unknown, P. 107915 - 107915
Published: Feb. 1, 2025
Language: Английский
Citations
0Brain Sciences, Journal Year: 2025, Volume and Issue: 15(5), P. 446 - 446
Published: April 25, 2025
Purpose: Obesity’s metabolic consequences are well documented; however, its neurobiological underpinnings remain elusive. This systematic review addresses a critical gap by synthesizing evidence on obesity-induced neuroplasticity across structural, functional, and molecular domains through advanced neuroimaging. Methods: According to PRISMA guidelines, we systematically searched (2015–2024) PubMed/Web of Science, employing MeSH terms: (“Obesity” [Majr]) AND (“Neuroimaging” [Mesh] OR “Magnetic Resonance Imaging” [Mesh]). A total 104 studies met the inclusion criteria. The criteria required following: (1) multimodal imaging protocols (structural MRI/diffusion tensor imaging/resting-state functional magnetic resonance (fMRI)/positron emission tomography (PET)); (2) pre-/post-intervention longitudinal design. Risk bias was assessed via Newcastle-Ottawa Scale. Key Findings: 1. Structural alterations: 7.2% mean gray matter reduction in prefrontal cortex (Cohen’s d = 0.81). White integrity decline (FA β −0.33, p < 0.001) 12 major tracts. 2. Functional connectivity: Resting-state hyperactivity mesolimbic pathways (fALFF + 23%, p-FDR 0.05). Impaired fronto–striatal connectivity (r −0.58 with BMI, 95% CI [−0.67, −0.49]). 3. Interventional reversibility: Bariatric surgery restored activation (Δ +18% vs. controls, 0.002). Neurostimulation (transcranial direct current stimulation (tDCS) enhanced cognitive control (post-treatment 0.42, 0.009). Conclusion: Obesity induces multidomain neural reorganization beyond traditional reward circuits. Neuroimaging biomarkers (e.g., striatal PET-dopamine binding potential) predict intervention outcomes (AUC 0.79). Precision neuromodulation requires tripartite integration structural guidance, monitoring, profiling. Findings highlight neuroimaging’s pivotal role developing stage-specific therapeutic strategies.
Language: Английский
Citations
0Nutrients, Journal Year: 2024, Volume and Issue: 16(5), P. 738 - 738
Published: March 5, 2024
The neural mechanisms underlying susceptibility to eating more in response large portions (i.e., the portion size effect) remain unclear. Thus, present study examined how responses relate changes weight and energy consumed as increase. Associations were across brain regions traditionally implicated appetite control an appetitive network) well cerebellum, which has recently been appetite-related processes. Children without obesity BMI-for-age-and-sex percentile < 90; N = 63; 55% female) viewed images of larger smaller food during fMRI and, separate sessions, ate four meals that varied size. Individual-level linear quadratic associations between intake (kcal, grams) slopes) estimated. cerebellar lobules IV–VI was associated with slope estimated from gram intake; a greater depicting compared steeper increases increasing sizes. Within network, not slopes. A decreased amounts may increase children’s overeating when excessively are served.
Language: Английский
Citations
3Appetite, Journal Year: 2024, Volume and Issue: 197, P. 107325 - 107325
Published: March 26, 2024
Language: Английский
Citations
3Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: May 3, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
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