Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults

Early detection in the development of a Major Depressive Disorder (MDD) could guide earlier clinical interventions. Although MDD can begin at a younger age, most people have their first episode in young adulthood. The underlying pathophysiological mechanisms relating to such an increased risk are no...

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Main Authors: Zhixin Wang, Chris Baeken, Guo-Rong Wu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/13/8/920
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author Zhixin Wang
Chris Baeken
Guo-Rong Wu
author_facet Zhixin Wang
Chris Baeken
Guo-Rong Wu
author_sort Zhixin Wang
collection DOAJ
description Early detection in the development of a Major Depressive Disorder (MDD) could guide earlier clinical interventions. Although MDD can begin at a younger age, most people have their first episode in young adulthood. The underlying pathophysiological mechanisms relating to such an increased risk are not clear. The posterior cingulate cortex (PCC), exhibiting high levels of brain connectivity and metabolic activity, plays a pivotal role in the pathological mechanism underlying MDD. In the current study, we used the (F-18) fluorodeoxyglucose (FDG) positron emission tomography (PET) to measure metabolic covariance connectivity of the PCC and investigated its association with depression symptomatology evaluated by the Centre for Epidemiological Studies Depression Inventory—Revised (CESD-R) among 27 healthy individuals aged between 18 and 23 years. A significant negative correlation has been observed between CESD-R scale scores and the PCC metabolic connectivity with the anterior cingulate, medial prefrontal cortex, inferior and middle frontal gyrus, as well as the insula. Overall, our findings suggest that the neural correlates of depressive symptomatology in healthy young adults without a formal diagnosis involve the metabolic connectivity of the PCC. Our findings may have potential implications for early identification and intervention in people at risk of developing depression.
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spelling doaj.art-3227203faa7644fe925378e65ba8c43b2023-11-19T02:08:52ZengMDPI AGMetabolites2218-19892023-08-0113892010.3390/metabo13080920Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young AdultsZhixin Wang0Chris Baeken1Guo-Rong Wu2Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Medicine and Health Sciences, Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, 9000 Ghent, BelgiumKey Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing 400715, ChinaEarly detection in the development of a Major Depressive Disorder (MDD) could guide earlier clinical interventions. Although MDD can begin at a younger age, most people have their first episode in young adulthood. The underlying pathophysiological mechanisms relating to such an increased risk are not clear. The posterior cingulate cortex (PCC), exhibiting high levels of brain connectivity and metabolic activity, plays a pivotal role in the pathological mechanism underlying MDD. In the current study, we used the (F-18) fluorodeoxyglucose (FDG) positron emission tomography (PET) to measure metabolic covariance connectivity of the PCC and investigated its association with depression symptomatology evaluated by the Centre for Epidemiological Studies Depression Inventory—Revised (CESD-R) among 27 healthy individuals aged between 18 and 23 years. A significant negative correlation has been observed between CESD-R scale scores and the PCC metabolic connectivity with the anterior cingulate, medial prefrontal cortex, inferior and middle frontal gyrus, as well as the insula. Overall, our findings suggest that the neural correlates of depressive symptomatology in healthy young adults without a formal diagnosis involve the metabolic connectivity of the PCC. Our findings may have potential implications for early identification and intervention in people at risk of developing depression.https://www.mdpi.com/2218-1989/13/8/920posterior cingulate cortexmetabolic covariance connectivityresting-state networks
spellingShingle Zhixin Wang
Chris Baeken
Guo-Rong Wu
Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
Metabolites
posterior cingulate cortex
metabolic covariance connectivity
resting-state networks
title Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
title_full Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
title_fullStr Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
title_full_unstemmed Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
title_short Metabolic Covariance Connectivity of Posterior Cingulate Cortex Associated with Depression Symptomatology Level in Healthy Young Adults
title_sort metabolic covariance connectivity of posterior cingulate cortex associated with depression symptomatology level in healthy young adults
topic posterior cingulate cortex
metabolic covariance connectivity
resting-state networks
url https://www.mdpi.com/2218-1989/13/8/920
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AT chrisbaeken metaboliccovarianceconnectivityofposteriorcingulatecortexassociatedwithdepressionsymptomatologylevelinhealthyyoungadults
AT guorongwu metaboliccovarianceconnectivityofposteriorcingulatecortexassociatedwithdepressionsymptomatologylevelinhealthyyoungadults