scholarly journals In-scanner head motion and structural covariance networks

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.

2021 ◽  
Author(s):  
Xinqi Zhou ◽  
Renjing Wu ◽  
Yixu Zeng ◽  
Ziyu Qi ◽  
Stefania Ferraro ◽  
...  

AbstractFundamental and clinical neuroscience has benefited from the development of automated computational analyses of Magnetic Resonance Imaging (MRI) data, such as Voxel-based Morphometry (VBM). VBM determines regional gray matter variations with high spatial resolution and results are commonly interpreted in a regional-specific manner, for instance with respect to which specific brain regions differ in volume between women and men. In excess of 600 papers using VBM are now published every year and a number of different automated VBM processing pipelines are frequently used in analyses although it remains to be fully and systematically assessed whether they come up with the same answers. Here we have therefore examined variability between four commonly used VBM pipelines in two large brain structural datasets. Spatial similarity, reproducibility and reliability of the processed gray matter brain maps was generally low between pipelines. Examination of sex-differences and age-related changes in gray matter volumes revealed considerable differences between the pipelines in terms of the specific regions identified as well as meta-analytic characterization of their function. In contrast, applying machine learning-based multivariate analyses allowed an accurate prediction of sex or age based on the gray matter maps across pipelines, although prediction accuracy differed strongly between them. Together the findings suggest that the choice of pipeline alone leads to considerable variability in brain structural analyses which poses a serious challenge for reproducibility as well as interpretation.


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

2020 ◽  
Author(s):  
David Melzer ◽  
Janice L Atkins ◽  
Luke C Pilling ◽  
Christine J Heales ◽  
Sharon Savage ◽  
...  

ABSTRACTImportanceBrain iron deposition is common in dementia, but its causal significance is uncertain. The HFE p.C282Y homozygous mutation in European ancestry populations can lead to iron overload and hemochromatosis, mainly in males. Data on brain outcomes in homozygotes are scarce.ObjectiveTo estimate HFE variant associations with MRI features plus incident dementia diagnoses during follow-up in a large community based cohort.DesignUK Biobank cohort with follow-up in routine hospitalization records (mean 8.8 years). MRI imaging available on a participant subset scanned 2014 to 2018.SettingCommunity cohort participants across England, Wales and Scotland.ParticipantsEuropean ancestry participants (n=451,186) aged 40 to 70 years at baseline, including 2,890 p.C282Y homozygotes (predominantly without baseline haemochromatosis diagnoses). MRI scanning on 9,464 males and 10,475 females, including 40 male and 75 female p.C282Y homozygotes.ExposureHFE C282Y and H63D genetic variantsMain outcome and measuresBrain MRI site specific T2* measures (lower values associated with iron deposition) and gray matter volumes. Incident dementia diagnoses during follow-up.ResultsMale p.C282Y homozygotes had lower T2* measures in several brain areas including the thalamus (beta = -1.04 standard deviations, 95% CI -1.33 to -0.76, multiple testing adjusted p-value=4.9*10-10), putamen and hippocampus, compared to those without HFE mutations. Male homozygotes also had smaller gray matter volumes in the putamen (beta -0.80 sd, 95%CI -1.12 to - 0.47, adjusted p=2.2*10-4) and ventral striatum.Diagnoses of incident dementia (Hazard Ratio HR=2.27; 95% CI 1.36 to 3.80, p=0.002) were more common in p.C282Y homozygous men, as were delirium diagnoses (HR=2.04, CI 1.09 to 3.82, p=0.03), but there was no association with Stroke.In p.C282Y homozygote females and p.C282Y/H63D heterozygotes, MRI associations were less marked.Conclusion and RelevanceIn a community sample, men with the HFE p.C282Y homozygote genotype had more brain iron deposition, smaller specific gray matter volumes, and increased incidence of dementia. As iron overload in hemochromatosis is treatable, early intervention may prevent or limit related brain pathology in male HFE p.C282Y homozygotes.Key PointsQuestionIs the hemochromatosis HFE p.C282Y homozygous variant in men associated with brain MRI features and incident dementia?FindingsOn MRI, p.C282Y homozygote males had evidence of more iron deposition in areas including the thalamus, putamen and hippocampus, plus smaller putamen gray matter volumes, compared to men without HFE mutations. In 451,186 UK Biobank participants during the mean 8.8 year follow-up, incident dementia diagnoses were more than twice as common in the 1,294 homozygous men.MeaningAs iron overload in hemochromatosis is treatable, early intervention may prevent or limit related brain pathology in male HFE p.C282Y homozygotes.


2021 ◽  
Author(s):  
Hui Wang ◽  
Zeng-Hui Ma ◽  
Ling-Zi Xu ◽  
Liu Yang ◽  
Zhao-Zheng Ji ◽  
...  

Abstract Background Accumulating structural Magnetic Resonance Imaging (sMRI) studies have showed atypicalities in developmental changes of structural regional brain in autism, with largely inconsistent results. Methods The current study investigated the brain structural abnormal features of autistic individuals aged 6~30 years. We included 52 autism individuals and 50 age, gender, and IQ matched typically developing individuals (TD), who were divided into three groups: childhood (6-12 years old), adolescent (13-18 years old) and adulthood (19-30 years old). Whole brain volume and Voxel-Based Morphometry (VBM) analyses were employed on the sMRI data collected from our participants. Results We found no significant difference in the volume of whole brain, gray matter and white matter between autism and TD groups of the three age groups. For VBM analyses, the volumes of gray matter in right superior temporal gyrus and right inferior parietal lobule in children autism group were smaller than those in TD group; the volume of gray matter in left inferior parietal lobule in adolescent autism group was larger than that in TD group; the volume of gray matter in right middle occipital gyrus in adult autism group was larger than that in TD group, and the gray matter in left posterior cingulate gyrus was smaller than that in TD group. Conclusions Findings suggest autism individuals showed different atypical brain regions of gray matter volume in childhood, adolescent, and adulthood relative to their normal peers respectively, indiciating that it is essential to take developmental perspectives into consideration when exploring brain structural abnormalities in autism.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 371-371
Author(s):  
Shanna Burke ◽  
Tan Li ◽  
Adrienne Grudzien ◽  
Christopher Barnes ◽  
Kevin Hanson ◽  
...  

Abstract Depression has been associated with greater risk of Alzheimer’s disease (AD), and existing research has identified structural differences in brain regions in depressed subjects compared to healthy samples, but results have been heterogeneous. We sought to determine the effect of depression on regional brain volumes by cognitive and APOE e4 status. Secondary analysis of the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set was conducted using complete MRI data from 1,371 participants (mean age: 70.5; SD: 11.7). Multiple linear regression was used to estimate the adjusted effect of depression (via the Neuropsychiatric Inventory Questionnaire) on regional brain volumes through measurement of 30 structural MRIs. Depression in the prior two years was associated with lower total brain, cerebrum,, and gray matter volumes and greater total brain white matter hyperintensities (p<.05). Greater volumes were also observed in all ventricular volume measures. Lower mean volumes were observed in six additional frontal lobe and parietal lobe cortical regions. Alternately, depression antecedent to the past 2 years correlated only with occipital lobe gray matter volumes (right, left, total). Our findings suggest that depression in the prior two years is associated with atrophy across multiple brain regions and related ventricular enlargement, even after controlling for intracranial volume and demographic covariates. The duration of depression influences results, however, as depression prior to 2 years before assessment was correlated with significantly fewer and different regional brain volume changes.


2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Le-wei Tang ◽  
Hui Zheng ◽  
Liang Chen ◽  
Si-yuan Zhou ◽  
Wen-jing Huang ◽  
...  

Chronic fatigue syndrome (CFS) is a debilitating and complex disorder characterized by profound fatigue with uncertain pathologic mechanism. Neuroimage may be an important key to unveil the central nervous system (CNS) mechanism in CFS. Although most of the studies found gray matter (GM) volumes reduced in some brain regions in CFS, there are many factors that could affect GM volumes in CFS, including chronic pain, stress, psychiatric disorder, physical activity, and insomnia, which may bias the results. In this paper, through reviewing recent literatures, we discussed these interferential factors, which overlap with the symptoms of CFS.


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