Patterns of brain structural connectivity differentiate normal weight from overweight subjects.

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作者： Arpana,Gupta ^[1] ; Emeran A,Mayer ^[2] ; Claudia P,Sanmiguel ^[1] ; John D,Van Horn ^[3] ; Davis,Woodworth ^[4] ; Benjamin M,Ellingson ^[4] ; Connor,Fling ^[5] ; Aubrey,Love ^[5] ; Kirsten,Tillisch ^[6] ; Jennifer S,Labus ^[1]

作者单位： Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, Ingestive Behavior and Obesity Program (IBOP), UCLA, Los Angeles, CA, USA ; David Geffen School of Medicine, UCLA, Los Angeles, CA, USA ; Division of Digestive Diseases, UCLA, Los Angeles, CA, USA. ^[1] Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, Ingestive Behavior and Obesity Program (IBOP), UCLA, Los Angeles, CA, USA ; David Geffen School of Medicine, UCLA, Los Angeles, CA, USA ; Division of Digestive Diseases, UCLA, Los Angeles, CA, USA ; Ahmanson-Lovelace Brain Mapping Center, UCLA, Los Angeles, CA, USA. ^[2] The Institute for Neuroimaging and Informatics, Keck School of Medicine, USC, Los Angeles, CA, USA. ^[3] Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, Ingestive Behavior and Obesity Program (IBOP), UCLA, Los Angeles, CA, USA ; Radiology, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA. ^[4] Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, Ingestive Behavior and Obesity Program (IBOP), UCLA, Los Angeles, CA, USA. ^[5] Gail and Gerald Oppenheimer Family Center for Neurobiology of Stress, Ingestive Behavior and Obesity Program (IBOP), UCLA, Los Angeles, CA, USA ; David Geffen School of Medicine, UCLA, Los Angeles, CA, USA ; Division of Digestive Diseases, UCLA, Los Angeles, CA, USA ; Integrative Medicine, GLA VHA, UCLA, Los Angeles, CA, USA. ^[6]

关键词 ACC, anterior cingulate cortex ANOVA, analysis of variance Anatomical white-matter connectivity BMI, body mass index CT, cortical thickness Classification algorithm DTI, diffusion tensor imaging DWI, diffusion-weighted MRIs FA, flip angle FACT, fiber assignment by continuous tracking FDR, false-discovery rate FOV, field of view GLM, general linear model GMV, gray matter volume HAD, hospital anxiety and Depression Scale HC, healthy control MC, mean curvature Morphological gray-matter Multivariate analysis NPV, negative predictive value OFG, orbitofrontal gyrus Obesity Overweight PPC, posterior parietal cortex PPV, positive predictive value Reward network SA, surface area SPSS, statistical package for the social sciences TE, echo time TR, repetition time VIP, variable importance in projection VTA, ventral tegmental area aMCC, anterior mid cingulate cortex dlPFC, dorsolateral prefrontal cortex sPLS-DA, sparse partial least squares for discrimination Analysis sgACC, subgenual anterior cingulate cortex vmPFC, ventromedial prefrontal cortex

主题词成年人(Adult);算法(Algorithms);脑(Brain);脑图(Brain Mapping);弥散张量成像(Diffusion Tensor Imaging);摄食行为(Feeding Behavior);女(雌)性(Female);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);神经通路(Neural Pathways);超重(Overweight)

DOI 10.1016/j.nicl.2015.01.005

PMID 25737959

发布时间 2018-11-13

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NeuroImage. Clinical

2015年7卷

506-17页

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Patterns of brain structural connectivity differentiate normal weight from overweight subjects.

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Patterns of brain structural connectivity differentiate normal weight from overweight subjects.

NeuroImage. Clinical

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