P.7.e.001 Oxidative stress and brain volume in early onset psychosis: role of glutathione levels in progressive loss of cortical grey matter

2011 ◽  
Vol 21 ◽  
pp. S608
Author(s):  
M. Rapado-Castro ◽  
D. Fraguas ◽  
A. Gonzalez-Pinto ◽  
J.A. Micó ◽  
M. Parellada ◽  
...  
2021 ◽  
Author(s):  
Ittai Shamir ◽  
Omri Tomer ◽  
Ronnie Krupnik ◽  
Yaniv Assaf

The human connectome is the complete structural description of the network of connections and elements that form the wiring diagram of the brain. Because of the current scarcity of information regarding laminar end points of white matter tracts inside cortical grey matter, tractography remains focused on cortical partitioning into regions, while ignoring radial partitioning into laminar components. To overcome this biased representation of the cortex as a single homogenous unit, we use a recent data-derived model of cortical laminar connectivity, which has been further explored and corroborated in the macaque brain by comparison to published studies. The model integrates multimodal MRI imaging datasets regarding both white matter connectivity and grey matter laminar composition into a laminar-level connectome. In this study we model the laminar connectome of healthy human brains (N=20) and explore them via a set of neurobiologically meaningful complex network measures. Our analysis demonstrates a subdivision of network hubs that appear in the standard connectome into each individual component of the laminar connectome, giving a fresh look into the role of laminar components in cortical connectivity and offering new prospects in the fields of both structural and functional connectivity.


2016 ◽  
Vol 16 (4) ◽  
pp. 527-530 ◽  
Author(s):  
Hilal Kaya Erdogan ◽  
Isıl Bulur ◽  
Evin Kocaturk ◽  
Bahadir Yildiz ◽  
Zeynep Nurhan Saracoglu ◽  
...  

2022 ◽  
Author(s):  
Belinda M Brown ◽  
Jaisalmer de Frutos Lucas ◽  
Tenielle Porter ◽  
Natalie Frost ◽  
Michael Vacher ◽  
...  

Background: Grey matter atrophy occurs as a function of ageing and is accelerated in dementia. Previous research suggests physical activity attenuates grey matter loss; however, there appears to be individual variability in this effect. Understanding factors that can affect the relationship between physical activity and brain volume may enable prediction of individual response, and aid in identifying those that gain the greatest neural benefits from physical activity. The current study examined the relationship between objectively-measured physical activity and brain volume; and whether this relationship is moderated by age, sex, or a priori candidate genetic factors. Methods: Data from 10,083 men and women (50 years and over) of the UK Biobank were used to examine: 1) the relationship between objectively-measured physical activity and brain volume; and 2) whether the relationship between objectively-measured physical activity and brain volume is moderated by age, sex, brain-derived neurotrophic factor (BDNF) Val66Met, or apolipoprotein (APOE) e4 allele carriage. All participants underwent a magnetic resonance imaging scan to quantify grey matter volumes, physical activity monitoring via accelerometry, and genotyping. Results: Physical activity was associated with total grey matter volume (B = 0.14, p = 0.001, q = 0.005) and right hippocampal volume (B = 1.45, p = 0.008, q = 0.016). The physical activity*sex interaction predicted cortical grey matter (B = 0.22, p = 0.003, q = 0.004), total grey matter (B = 0.30, p < 0.001, q = 0.001), and right hippocampal volume (B = 3.60, p = 0.001, q = 0.002). Post-hoc analyses revealed males received benefit from higher physical activity levels, in terms of greater cortical grey matter volume (B = 0.13, p = 0.01), total grey matter volume (B=0.23, p < 0.001), and right hippocampal volume (B = 3.05, p = 0.008). No moderating effects of age, APOE e4 allele carriage, or BDNF Val66Met genotype were observed. Discussion: Our results indicate that in males, but not females, an association exists between objectively-measured physical activity and grey matter volume. Future research should evaluate longitudinal brain volumetrics to better understand the nature of sex-effects on the relationship between physical activity and brain volume.


2005 ◽  
Vol 173 (4S) ◽  
pp. 214-215 ◽  
Author(s):  
Daniel Cho ◽  
Xiao Fang Ha ◽  
J. Andre Melendez ◽  
Louis J. Giorgi ◽  
Badar M. Mian

Sign in / Sign up

Export Citation Format

Share Document