White adipose tissue distribution and amount are associated with increased white matter connectivity

Okudzhava, Liana; Schulz, Stephanie; Fischi‐Gomez, Elda; Girard, Gabriel; Machann, Jürgen; Koch, Philipp J.; Thiran, Jean‐Philippe; Münte, Thomas F.; Heldmann, Marcus

doi:10.1002/hbm.26654

Cited by 1 publication

(5 citation statements)

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“…Ins acting as a central hub (Okudzhava et al, 2024). In line with these findings, the observed GM patterns in the present study provide valuable complementary evidence, offering additional insights into the interplay between brain structure and adiposity.…”

Section: Discussionsupporting

confidence: 81%

“…While this relationship might be mediated by elevated leptin levels in obesity, as indicated in the present study, further investigation is needed to fully elucidate the mechanisms involved. Our previous investigation of WM connectivity using the same dataset, revealed altered connectivity among cortical and subcortical brain structures, with the right Ins acting as a central hub (Okudzhava et al, 2024 ). In line with these findings, the observed GM patterns in the present study provide valuable complementary evidence, offering additional insights into the interplay between brain structure and adiposity.…”

Section: Discussionmentioning

confidence: 90%

“…In this study, we used the dataset from Okudzhava et al ( 2024 ). In this cross‐sectional study design, 65 male participants, free from any metabolic, neurological, or psychiatric conditions, were recruited from the University of Lübeck's participant pool and through online platform advertisements.…”

Section: Methodsmentioning

confidence: 99%

“…We opted for a ROI‐based analysis, to focus on brain areas that have been identified as important hubs for the control of eating behavior by previous studies. A subset of 18 relevant regions of interest (ROIs) was determined as indicated in Okudzhava et al ( 2024 ). The selection included bilateral GM areas, specifically the rostral ACC (rACC), caudal ACC (cACC), rostral MFG (rMFG), caudal MFG (cMFG), SFG, lateral OFC (lOFC), medial OFC (mOFC), frontal pole (FrP), parahippocampal gyrus (PpG), anterior Ins (aIns), posterior Ins (pIns), thalamus (Thal), Caud, Put, Pall, Hipp, Amyg, and NAc.…”

Section: Methodsmentioning

confidence: 99%

“…We opted for a ROI-based analysis, to focus on brain areas that have been identified as important hubs for the control of eating behavior by previous studies. A subset of 18 relevant regions of interest (ROIs) was determined as indicated inOkudzhava et al (2024). The selection included bilateral GM areas, specifically the rostral ACC (rACC), caudal ACC (cACC), rostral MFG (rMFG), caudal…”

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confidence: 99%

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The interplay between white adipose tissue, adipokines, and structural gray matter changes

Okudzhava,

Schulz,

Pilorz

et al. 2024

Human Brain Mapping

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The growing global obesity issue emphasizes the importance of understanding its health implications. Previous research has identified consistent alterations in gray matter (GM) volume in connection with obesity. Given the various implications of distinct fat compartments and the potential role of adipose tissue‐derived adipokines in brain health, a more detailed investigation of adiposity is required. This study investigates a sample of 65 males with varying body mass indices to explore the relationship between various fat compartments, adipokine levels, and volumetric GM variations, aiming to provide a deeper understanding of the interplay between adiposity, brain structure, and metabolic signals. Whole‐body magnetic resonance imaging (MRI) was used to assess total, visceral, and subcutaneous adipose tissue, while MR spectroscopy was performed to capture liver fat content. For the assessment of adipokine levels leptin and adiponectin concentrations were measured, and structural brain images underwent cortical and subcortical segmentation for GM volume and thickness. A predictive modeling approach with leave‐one‐out cross‐validation was used to predict body composition metrics and adipokine levels based on structural GM data. Our investigation revealed diminished GM volume and thickness correlated with elevated leptin levels in areas crucial for appetite regulation, decision‐making, and cognitive control, including the anterior insula, orbitofrontal cortex, and anterior cingulate cortex. These findings suggest a potential adverse impact of heightened leptin concentrations on brain health and eating habits. Contrary to expectations, our investigation found no significant relationship between GM volume and any of the measured fat compartments. This result prompts the need for further research to elucidate the relationship between obesity, adipokines, and brain structure.

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Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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