scholarly journals Microstructural damage of white-matter tracts connecting large-scale networks is related to impaired executive profile in alcohol use disorder

2020 ◽  
Vol 25 ◽  
pp. 102141 ◽  
Author(s):  
Chiara Crespi ◽  
Caterina Galandra ◽  
Nicola Canessa ◽  
Marina Manera ◽  
Paolo Poggi ◽  
...  
2018 ◽  
Vol 42 (5) ◽  
pp. 889-896 ◽  
Author(s):  
Evgeny J. Chumin ◽  
Joaquín Goñi ◽  
Meredith E. Halcomb ◽  
Timothy C. Durazzo ◽  
Mario Dzemidzic ◽  
...  

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
James J. Yang ◽  
Xi Luo ◽  
Elisa M. Trucco ◽  
Anne Buu

Abstract Background/aim The polygenic risk score (PRS) shows promise as a potentially effective approach to summarize genetic risk for complex diseases such as alcohol use disorder that is influenced by a combination of multiple variants, each of which has a very small effect. Yet, conventional PRS methods tend to over-adjust confounding factors in the discovery sample and thus have low power to predict the phenotype in the target sample. This study aims to address this important methodological issue. Methods This study proposed a new method to construct PRS by (1) approximating the polygenic model using a few principal components selected based on eigen-correlation in the discovery data; and (2) conducting principal component projection on the target data. Secondary data analysis was conducted on two large scale databases: the Study of Addiction: Genetics and Environment (SAGE; discovery data) and the National Longitudinal Study of Adolescent to Adult Health (Add Health; target data) to compare performance of the conventional and proposed methods. Result and conclusion The results show that the proposed method has higher prediction power and can handle participants from different ancestry backgrounds. We also provide practical recommendations for setting the linkage disequilibrium (LD) and p value thresholds.


2020 ◽  
pp. 1-11
Author(s):  
Yuchao Jiang ◽  
Dezhong Yao ◽  
Jingyu Zhou ◽  
Yue Tan ◽  
Huan Huang ◽  
...  

Abstract Background Neuroimaging characteristics have demonstrated disrupted functional organization in schizophrenia (SZ), involving large-scale networks within grey matter (GM). However, previous studies have ignored the role of white matter (WM) in supporting brain function. Methods Using resting-state functional MRI and graph theoretical approaches, we investigated global topological disruptions of large-scale WM and GM networks in 93 SZ patients and 122 controls. Six global properties [clustering coefficient (Cp), shortest path length (Lp), local efficiency (Eloc), small-worldness (σ), hierarchy (β) and synchronization (S) and three nodal metrics [nodal degree (Knodal), nodal efficiency (Enodal) and nodal betweenness (Bnodal)] were utilized to quantify the topological organization in both WM and GM networks. Results At the network level, both WM and GM networks exhibited reductions in Eloc, Cp and S in SZ. The SZ group showed reduced σ and β only for the WM network. Furthermore, the Cp, Eloc and S of the WM network were negatively correlated with negative symptoms in SZ. At the nodal level, the SZ showed nodal disturbances in the corpus callosum, optic radiation, posterior corona radiata and tempo-occipital WM tracts. For GM, the SZ manifested increased nodal centralities in frontoparietal regions and decreased nodal centralities in temporal regions. Conclusions These findings provide the first evidence for abnormal global topological properties in SZ from the perspective of a substantial whole brain, including GM and WM. Nodal centralities enhance GM areas, along with a reduction in adjacent WM, suggest that WM functional alterations may be compensated for adjacent GM impairments in SZ.


2019 ◽  
Vol 76 (7) ◽  
pp. 749 ◽  
Author(s):  
Silvia De Santis ◽  
Patrick Bach ◽  
Laura Pérez-Cervera ◽  
Alejandro Cosa-Linan ◽  
Georg Weil ◽  
...  

2021 ◽  
Author(s):  
Carolin Spindler ◽  
Louisa Mallien ◽  
Sebastian Trautmann ◽  
Nina Alexander ◽  
Markus Muehlhan

Introduction: Besides the commonly described grey matter (GM) deficits, there is growing evidence of significant white matter (WM) alterations in patients with alcohol use disorder (AUD). WM changes can be assessed using volumetric and diffusive magnetic resonance imaging methods, such as voxel-based morphometry (VBM) and diffusion tensor imaging (DTI). The aim of the present meta-analysis is to investigate the spatial convergence of the reported findings on WM alterations in AUD. Methods: Systematic literature search on PubMed and further databases revealed 18 studies eligible for inclusion, entailing a total of 462 AUD patients and 416 healthy controls (up to January 18, 2021). All studies that had used either VBM or DTI whole-brain analyzing methods and reported results as peak-coordinates in standard reference space were considered for inclusion. We excluded studies using approaches nonconcordant with recent guidelines for neuroimaging meta-analyses and studies investigating patient groups with Korsakoff syndrome or other comorbid substance use disorders (except tobacco). Results: Anatomical Likelihood Estimation (ALE) revealed four significant clusters of convergent macro- and microstructural WM alterations in AUD patients that were assigned to the genu and body of the corpus callosum, anterior and posterior cingulum, fornix, and the right posterior limb of the internal capsule. Discussion: The changes in WM could to some extent explain the deteriorations in motor, cognitive, affective, and perceptual functions seen in AUD. Future studies are needed to clarify how WM alterations vary over the course of the disorder and to what extent they are reversible with prolonged abstinence.


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