scholarly journals Lower gray matter density and functional connectivity in the anterior insula in smokers compared with never smokers

2015 ◽  
Vol 21 (4) ◽  
pp. 972-981 ◽  
Author(s):  
Luke E. Stoeckel ◽  
Xiaoqian J. Chai ◽  
Jiahe Zhang ◽  
Susan Whitfield-Gabrieli ◽  
A. Eden Evins
Keyword(s):  
Functional Connectivity ◽  
Gray Matter ◽  
Anterior Insula ◽  
Matter Density ◽  
Gray Matter Density ◽  
Never Smokers

scholarly journals Increased Gray Matter Density and Functional Connectivity of the Pons in Restless Legs Syndrome

2020 ◽  
Vol Volume 12 ◽  
pp. 221-230 ◽  
Author(s):  
Zhexue Xu ◽  
Tao Han ◽  
Tian Li ◽  
Xiaodong Zhang ◽  
Zhaoyang Huang ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Gray Matter ◽  
Restless Legs Syndrome ◽  
Matter Density ◽  
Gray Matter Density ◽  
Restless Legs

Reduction of gray matter density in the extrastriate body area in women with anorexia nervosa

2010 ◽  
Vol 206 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Boris Suchan ◽  
Martin Busch ◽  
Dietmar Schulte ◽  
Dietrich Grönermeyer ◽  
Stephan Herpertz ◽  
...  
Keyword(s):  
Anorexia Nervosa ◽  
Gray Matter ◽  
Matter Density ◽  
Body Area ◽  
Gray Matter Density ◽  
Extrastriate Body Area

The effect of DISC1 on regional gray matter density of schizophrenia in Han Chinese population

2012 ◽  
Vol 517 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Qinling Wei ◽  
Feici Diao ◽  
Zhuang Kang ◽  
Zhaoyu Gan ◽  
Zili Han ◽  
...  
Keyword(s):  
Gray Matter ◽  
Chinese Population ◽  
Matter Density ◽  
Han Chinese ◽  
Gray Matter Density ◽  
Han Chinese Population

Correlations in spontaneous activity and gray matter density between left and right sensoritmotor areas of pianists

Neuroreport ◽  
2008 ◽  
Vol 19 (6) ◽  
pp. 631-634 ◽  
Author(s):  
Ya-Ting Lv ◽  
Hong Yang ◽  
De-Yi Wang ◽  
Shu-Yu Li ◽  
Ying Han ◽  
...  
Keyword(s):  
Spontaneous Activity ◽  
Gray Matter ◽  
Matter Density ◽  
Gray Matter Density ◽  
Left And Right

scholarly journals Conditioned fear reactions are associated with gray matter density but not cortical microstructure

2020 ◽  
Author(s):  
Christoph Fraenz ◽  
Dorothea Metzen ◽  
Christian J. Merz ◽  
Helene Selpien ◽  
Nikolai Axmacher ◽  
...  
Keyword(s):  
Gray Matter ◽  
Conditioned Fear ◽  
Brain Networks ◽  
Brain Regions ◽  
Matter Density ◽  
Fear Learning ◽  
Future Research ◽  
Fear Reaction ◽  
Gray Matter Density ◽  
Diffusion Weighted Images

AbstractResearch has shown that fear acquisition, in reaction to potentially harmful stimuli or situations, is characterized by pronounced interindividual differences. It is likely that such differences are evoked by variability in the macro- and microstructural properties of brain regions involved in the processing of threat or safety signals from the environment. Indeed, previous studies have shown that the strength of conditioned fear reactions is associated with the cortical thickness or volume of various brain regions. However, respective studies were exclusively targeted at single brain regions instead of whole brain networks. Here, we tested 60 young and healthy individuals in a differential fear conditioning paradigm while they underwent fMRI scanning. In addition, we acquired T1-weighted and multi-shell diffusion-weighted images prior to testing. We used task-based fMRI data to define global brain networks which exhibited increased BOLD responses towards CS+ or CS- presentations, respectively. From these networks, we obtained mean values of gray matter density, neurite density, and neurite orientation dispersion. We found that mean gray matter density averaged across the CS+ network was significantly correlated with the strength of conditioned fear reactions quantified via skin conductance response. Measures of neurite architecture were not associated with conditioned fear reaction in any of the two networks. Our results extend previous findings on the relationship between brain morphometry and fear learning. Most importantly, our study is the first to introduce neurite imaging to fear learning research and discusses how its implementation can be improved in future research.

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