The association of gray matter volumes in the frontoparietal attention network with temperamental effortful control in young adults: A voxel-based morphometry study

2015 ◽  
Vol 233 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Wenhai Zhang ◽  
Hong Li ◽  
Jie Chen ◽  
Qiang Liu ◽  
Xia Liu ◽  
...  
2012 ◽  
Vol 24 (3) ◽  
pp. 718-735 ◽  
Author(s):  
Magdalena Chechlacz ◽  
Pia Rotshtein ◽  
Peter C. Hansen ◽  
Jane M. Riddoch ◽  
Shoumitro Deb ◽  
...  

Because of our limited processing capacity, different elements of the visual scene compete for the allocation of processing resources. One of the most striking deficits in visual selection is simultanagnosia, a rare neuropsychological condition characterized by impaired spatial awareness of more than one object at time. To decompose the neuroanatomical substrates of the syndrome and to gain insights into the structural and functional organization of visuospatial attention, we performed a systematic evaluation of lesion patterns in a group of simultanagnosic patients compared with patients with either (i) unilateral visuospatial deficits (neglect and/or extinction) or (ii) bilateral posterior lesions without visuospatial deficits, using overlap/subtraction analyses, estimation of lesion volume, and a lesion laterality index. We next used voxel-based morphometry to assess the link between different visuospatial deficits and gray matter and white matter (WM) damage. Lesion overlap/subtraction analyses, lesion laterality index, and voxel-based morphometry measures converged to indicate that bilateral parieto-occipital WM disconnections are both distinctive and necessary to create symptoms associated with simultanagnosia. We also found that bilateral gray matter damage within the middle frontal area (BA 46), cuneus, calacarine, and parieto-occipital fissure as well as right hemisphere parietal lesions within intraparietal and postcentral gyri were associated with simultanagnosia. Further analysis of the WM based on tractography revealed associations with bilateral damage to major pathways within the visuospatial attention network, including the superior longitudinal fasciculus, the inferior fronto-occipital fasciculus, and the inferior longitudinal fasciculus. We conclude that damage to the parieto-occipital regions and the intraparietal sulcus, together, with bilateral WM disconnections within the visuosptial attention network, contribute to poor visual processing of multiple objects and the loss of processing speed characteristic of simultanagnosia.


Cephalalgia ◽  
2014 ◽  
Vol 34 (8) ◽  
pp. 605-615 ◽  
Author(s):  
S Chanraud ◽  
G Di Scala ◽  
B Dilharreguy ◽  
J Schoenen ◽  
M Allard ◽  
...  

Background Several imaging studies have identified localized anatomical and functional brain changes in medication-overuse headache (MOH). Objective The objective of this article is to evaluate whole-brain functional connectivity at rest together with voxel-based morphometry in MOH patients, in comparison with episodic migraine (EM) patients and healthy controls (HCs). Methods Anatomical MRI and resting-state functional MRI scans were obtained in MOH patients ( n = 17 and 9, respectively), EM patients ( n = 18 and 15, respectively) and HCs ( n = 17 and 17). SPM8 was used to analyze voxel-based morphometry and seed (left precuneus) to voxel connectivity data in the whole brain. Results Functional connectivity at rest was altered in MOH patients. Connectivity was decreased between precuneus and regions of the default-mode network (frontal and parietal cortices), but increased between precuneus and hippocampal/temporal areas. These functional modifications were not accompanied by significant gross morphological changes. Furthermore, connectivity between precuneus and frontal areas in MOH was negatively correlated with migraine duration and positively correlated with self-evaluation of medication dependence. Gray matter volumes of frontal regions, precuneus and hippocampus were also negatively related to migraine duration. Functional connectivity within the default-mode network appeared to predict anxiety scores of MOH patients while gray matter volumes in this network predicted their depression scores. Conclusions Our data suggest that MOH is associated with functional alterations within intrinsic brain networks rather than with macrostructural changes. They also support the view that dependence-related processes might play a prominent role in its development and maintenance.


2010 ◽  
Vol 17 (6) ◽  
pp. 977-980 ◽  
Author(s):  
Yanhui Liao ◽  
Jinsong Tang ◽  
Tieqiao Liu ◽  
Xiaogang Chen ◽  
Wei Hao

2021 ◽  
Author(s):  
Heath R. Pardoe ◽  
Samantha P. Martin

AbstractIn-scanner head motion systematically reduces estimated regional gray matter volumes obtained from structural brain MRI. Here, we investigate how head motion affects structural covariance networks that are derived from regional gray matter volumetric estimates. We acquired motion-affected and motion-free whole brain T1-weighted MRI in 29 healthy adult subjects and estimated relative regional gray matter volumes using a voxel-based morphometry approach. Structural covariance network analyses were undertaken while systematically increasing the number of motion-affected scans included in the analysis. We demonstrate that the standard deviation in regional gray matter estimates increases as the number of motion-affected scans increases. This subsequently increases pair-wise correlations between regions, a key determinant for construction of structural covariance networks. We further demonstrate that head motion systematically alters graph theoretic metrics derived from these networks. Our findings suggest that in-scanner head motion is a source of error that violates the assumption that structural covariance networks reflect neuroanatomical connectivity between brain regions. Results of structural covariance studies should be interpreted with caution, particularly when subject groups are likely to move their heads in the scanner.


2019 ◽  
Vol 20 (12) ◽  
pp. 1587-1592.e7 ◽  
Author(s):  
Yukiko Nishita ◽  
Akinori Nakamura ◽  
Takashi Kato ◽  
Rei Otsuka ◽  
Kaori Iwata ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document