Obesity associated progressive brain structural changes assessed using causal structural covariance

Poster No:

2287 

Submission Type:

Abstract Submission 

Authors:

Huiling Zhou1,2, Yang Hu1,2, Guanya Li1,2, Wenchao Zhang1,2, Weibin Ji1,2, Yonghuan Feng1,2, Zaichen La1,2, Mengshan Li1,2, Zhao Yan1,2, Yi Zhang1,2

Institutions:

1Center for Brain Imaging, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China, 2International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China

First Author:

Huiling Zhou  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China

Co-Author(s):

Yang Hu  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Guanya Li  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Wenchao Zhang  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Weibin Ji  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Yonghuan Feng  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Zaichen La  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Mengshan Li  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Zhao Yan  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China
Yi Zhang  
Center for Brain Imaging, School of Life Science and Technology, Xidian University|International Joint Research Center for Advanced Medical Imaging and Intelligent Diagnosis and Treatment & Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information, School of Life Science and Technology, Xidian University
Xi'an, Shaanxi 710126, China|Xi'an, Shaanxi 710126, China

Introduction:

Obesity has become a global health challenge, and studies have shown that the prevalence and disease burden of high body mass index (BMI) are increasing worldwide [1]. Accumulating neuroimaging evidence suggests that obesity negatively affects brain structure [2, 3], and decreased gray/white matter volume are closely associated with increased BMI [4], especially within fronto-mesolimbic circuitry [5]. To figure out the temporal causality of these regions, the causal structural covariance networks (CaSCN) [6, 7, 8] were used to investigate the temporal causality between structural change and BMI.

Methods:

T1-weighted magnetic resonance images were acquired from 201 obese patients and 73 age- and gender-matched healthy controls (HC). T1-weighted images were segmented and normalized by voxel-based morphometry to obtain gray matter volume (GMV) images. The progressive changes in GMV were simulated by dividing the patients into different groups according to grades of BMI (Table 1). The two-sample t tests were utilized to compare the disparities between various grades of obese groups and HC. To evaluate the impact on structural alterations, the CaSCN was conducted by applying Granger causality analysis on sequenced T1-weighted images.
Supporting Image: table1.jpg
 

Results:

Compared to HC, obese group showed a decreased GMV in the occipital lobe, right precuneus (PCUN_R), temporal lobe, bilateral orbitofrontal cortex (OFC), right olfactory cortex (OLF_R), left caudate nucleus (CAU_L), bilateral insula (INS), bilateral inferior frontal gyrus (IFG), right hippocampus (Hipp_R), right parahippocampal gyrus (PHG_R), right angular gyrus (ANG_R), right postcentral gyrus (PoCG_R), right precentral gyrus (PreCG_R), right dorsal anterior cingulate cortex (dACC_R) (P<0.05, family-wise error corrected, Fig 1A). As BMI increased, reduction in GMV originated from the left occipital lobe, left temporal lobe, left insula (INS_L) and right orbitofrontal cortex (OFC_R) , and propagated to the right ventral posterior cingulate cortex (vPCC_R), left orbitofrontal cortex (OFC_L), CAU_L, left anterior cingulate and paracingulate gyri (ACG_L), PoCG_R, PreCG_R, Hipp_R, bilateral inferior frontal gyrus (IFG), INS_R, PCUN_R, left putamen (PUT_L), left pallidum (PAL_L), PHG_R, ANG_R and left ventral anterior cingulate cortex (vACC_L, P<0.05, family-wise error corrected, Fig 1B). The INS_L and OFC_R, which were regions involved with food intake control, were selected as the seed regions for further voxel-wise CaSCN analysis. Intriguingly, the INS_L and OFC_R had positive causal effects on each other. In addition, the INS_L showed positive causal effects on the temporal lobe, right putamen (PUT_R), INS_R, OFC_L, occipital lobe, left angular (ANG_L), left dorsolateral prefrontal cortex (DLPFC_L), middle frontal gyrus (MFG_R), PoCG_R, left supplementary motor area (SMA_L), left ventral posterior cingulate cortex (vPCC_L), left precentral gyrus (PreCG_L), left postcentral gyrus (PoCG_L); and INS_L had also negative effects on the occipital lobe, IFG_R, right dorsolateral prefrontal cortex (DLPFC_R), SMA_L (P < 0.05, false discovery rate corrected, Fig 1C). The OFC_R exhibited positive causal effects on the temporal lobe, OLF_R, OFC_L, PUT_L, right caudate nucleus (CAU_R), bilateral dorsolateral prefrontal cortex (DLPFC), left inferior frontal gyrus (IFG_L), left superior frontal gyrus (SFG_L), left thalamus (THA_L), left middle frontal gyrus (MFG_L), left supramarginal gyrus (SMG_L), bilateral precentral gyrus (PreCG), SMA_L, as well as negative effects on the PHG_R, temporal lobe, IFG_L, PreCG_L, DLPFC_R, parietal lobe (P < 0.05, false discovery rate corrected, Fig 1D).
Supporting Image: figure1.jpg
   ·Fig 1. (A)Overall GMV alterations. (B)Stage-specific GMV alterations. (C)Seed-based CaSCN results.
 

Conclusions:

These findings depict the impact of obesity on brain structural changes, and the obesity associated progressive GMV reduction originating from brain regions involved with reward motivational processing (i.e., INS_L/OFC_R) to those implicated in inhibitory control (i.e., DLPFC).

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural) 2

Novel Imaging Acquisition Methods:

Anatomical MRI 1

Keywords:

Limbic Systems
STRUCTURAL MRI
Other - CaSCN, Obesity, BMI

1|2Indicates the priority used for review

Provide references using author date format

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