scholarly journals Fluctuating Asymmetry and Individual Variation in Regional Gray and White Matter Volumes: A Voxel-Based Morphometry Study

2008 ◽  
Vol 6 (4) ◽  
pp. 147470490800600 ◽  
Author(s):  
Matthew Euler ◽  
Robert J. Thoma ◽  
Lauren Parks ◽  
Steven W. Gangestad ◽  
Ronald A. Yeo
Keyword(s):  
White Matter ◽  
Fluctuating Asymmetry ◽  
Gray Matter Volume ◽  
Brain Mri ◽  
Brain Regions ◽  
Voxel Based Morphometry ◽  
Whole Brain ◽  
Matter Volume ◽  
Brain White Matter ◽  
Mri Scans

Composite measures of fluctuating asymmetry (FA) of skeletal features are commonly used to estimate developmental instability (DI), the imprecise expression of developmental design due to perturbations during an individual's growth and maturation. Though many studies have detailed important behavioral correlates of FA, very little is known about its possible neuroanatomical correlates. In this study we obtained structural brain MRI scans from 20 adults and utilized voxel-based morphometry (VBM) to identify specific regions linked to FA. Greater FA predicted greater whole brain white matter volume, and a trend in the same direction was noted for whole brain gray matter volume. Greater FA was associated with significantly greater gray and white matter volumes in discrete brain regions, most prominently in the frontal lobes and in the right cerebral hemisphere. Developmental studies are needed to identify when FA-related brain differences emerge and to elucidate the specific neurobiological mechanisms leading to these differences.

Reduced gray matter volume in patients with retinal detachment: evidence from a voxel-based morphometry study

2019 ◽  
Vol 61 (3) ◽  
pp. 395-403
Author(s):  
Biao Li ◽  
Yu-Xin Liu ◽  
Hai-Jun Li ◽  
Qing Yuan ◽  
Pei-Wen Zhu ◽  
...  
Keyword(s):  
White Matter ◽  
Retinal Detachment ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Cingulate Gyrus ◽  
Voxel Based Morphometry ◽  
White Matter Volume ◽  
Whole Brain ◽  
Matter Volume ◽  
Brain White Matter

Background We know little about the pathogenesis and diagnosis of retinal detachment. Purpose To assess spontaneous changes in the cerebral cortex of patients with retinal detachment using voxel-based morphometry and to explore the relationship between retinal detachment and clinical behavioral performance. Material and Methods Patients (14 men, 6 women; average age = 49.15 ± 10.32 years) with rhegmatogenous retinal detachment (duration of 24.05 ± 19.61 days) and 20 matched healthy controls were recruited. All participants underwent repeated functional magnetic resonance imaging scans. The original three-dimensional T1 brain images were analyzed using voxel-based morphometry and whole brain white matter volume and whole brain gray matter volume were compared with those of the control group. A receiver operating characteristic (ROC) curve was used to classify the mean gray matter volume values of the patients with retinal detachment compared with the controls. Results Compared with the controls, whole brain gray matter volume was significantly reduced in patients with retinal detachment, as evidenced by changes in the right inferior frontal gyrus, right superior temporal gyrus, right anterior cingulate gyrus, and right cuneus. In addition, the posterior lobe of the cerebellum, left hippocampus, left cingulate gyrus, and left middle temporal gyrus were also obviously atrophied. Furthermore, whole brain white matter volume of the patients with retinal detachment showed a slight reduction. The ROC curve analysis of each brain region showed that the accuracy of the area under the curve was high. Conclusion We proved that patients with retinal detachment had unusual changes in the gray matter volume and white matter volume in vision-related brain regions, which could reveal potential pathological mechanisms of retinal detachment.

scholarly journals Greater hippocampal gray matter volume in subjective hyperosmia: a voxel-based morphometry study

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Pengfei Han ◽  
Franz Paul Stiller-Stut ◽  
Alexander Fjaeldstad ◽  
Thomas Hummel
Keyword(s):  
Gray Matter ◽  
Emotional Experience ◽  
Gray Matter Volume ◽  
Brain Regions ◽  
Precentral Gyrus ◽  
Voxel Based Morphometry ◽  
Whole Brain ◽  
Superior Frontal Gyrus ◽  
Matter Volume ◽  
Olfactory Ability

Abstract Subjective hyperosmia refers to a self-reported olfactory ability that is superior to a normal, intact sense of smell (normosmia), and is associated with olfactory emotional experience. The current study used voxel-based morphometry to investigate the gray matter volume (GMV) in people with self-rated hyperosmia (subjective hyperosmia, SH, N = 18) in comparison to people with self-rated normal olfaction (subjective normosmia, SN, N = 14). Participants’ olfactory function were assessed by the extensive olfactory test battery, the “Sniffin’ Sticks” test. Within the predicted brain regions (regions-of-interest analyses), the SH participants showed larger GMV of the left hippocampus as compared to SN participants (FWE corrected p < 0.05). Further, the whole-brain search indicated that SH had larger GMV of the bilateral hippocampus, the right hypothalamus, the left precuneus, and the left superior frontal gyrus as compared to the SN group. ROI analyses showed positive correlations between the left hippocampal GMV and odor threshold or discrimination scores across all participants. In addition, the whole-brain analysis suggested that the self-rated olfactory ability was positively associated with GMV in the cerebellum, superior frontal gyrus and the precentral gyrus among SH participants. In conclusion, the current results suggest that SH was associated with increased GMV in several brain regions that were previously shown to be involved in the processing of cognitive aspects of odors.

scholarly journals Predicting sleep quality from brain white matter volume: A voxel-based morphometry study

2021 ◽  
Author(s):  
Youling Bai ◽  
Li Zhang ◽  
Chengwei Liu ◽  
Xiaobing Cui ◽  
Li Dan ◽  
...  
Keyword(s):  
White Matter ◽  
Sleep Quality ◽  
Quality Data ◽  
Precentral Gyrus ◽  
Voxel Based Morphometry ◽  
White Matter Volume ◽  
Matter Volume ◽  
Brain White Matter ◽  
The Right ◽  
The Relationship

Abstract Most previous studies have explored the relationship between gray matter volume and sleep quality, but little is known about the relationship between white matter volume and sleep quality. Data were collected using the Pittsburgh Sleep Quality Index and voxel-based morphometry among 352 healthy college students. Results showed that the global PSQI score was negatively associated with the white matter volume, including in the right middle occipital gyrus, the left superior temporal gyrus, the right the precentral gyrus, the left supramarginal gyrus, the left middle frontal gyrus, the left precunes, and the right superior frontal gyrus. Results also indicated that the white matter volume in specific regions negatively predicted the factor of PSQI. These specific brain regions may be replicated in brain areas related to sleep quality. In summary, we suggested that an investigation of white matter structural alterations in the specific regions might be beneficial to tackle underlying neurological mechanisms of sleep quality.

scholarly journals Age-Related Variations in Regional White Matter Volumetry and Microstructure During the Post-adolescence Period: A Cross-Sectional Study of a Cohort of 1,713 University Students

2021 ◽  
Vol 15 ◽  
Author(s):  
Ami Tsuchida ◽  
Alexandre Laurent ◽  
Fabrice Crivello ◽  
Laurent Petit ◽  
Antonietta Pepe ◽  
...  
Keyword(s):  
White Matter ◽  
University Students ◽  
Diffusion Tensor ◽  
Brain Mri ◽  
Mean Diffusivity ◽  
High Angular Resolution ◽  
White Matter Volume ◽  
Matter Volume ◽  
Brain White Matter ◽  
Age Related

Human brain white matter undergoes a protracted maturation that continues well into adulthood. Recent advances in diffusion-weighted imaging (DWI) methods allow detailed characterizations of the microstructural architecture of white matter, and they are increasingly utilized to study white matter changes during development and aging. However, relatively little is known about the late maturational changes in the microstructural architecture of white matter during post-adolescence. Here we report on regional changes in white matter volume and microstructure in young adults undergoing university-level education. As part of the MRi-Share multi-modal brain MRI database, multi-shell, high angular resolution DWI data were acquired in a unique sample of 1,713 university students aged 18–26. We assessed the age and sex dependence of diffusion metrics derived from diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) in the white matter regions as defined in the John Hopkins University (JHU) white matter labels atlas. We demonstrate that while regional white matter volume is relatively stable over the age range of our sample, the white matter microstructural properties show clear age-related variations. Globally, it is characterized by a robust increase in neurite density index (NDI), and to a lesser extent, orientation dispersion index (ODI). These changes are accompanied by a decrease in diffusivity. In contrast, there is minimal age-related variation in fractional anisotropy. There are regional variations in these microstructural changes: some tracts, most notably cingulum bundles, show a strong age-related increase in NDI coupled with decreases in radial and mean diffusivity, while others, mainly cortico-spinal projection tracts, primarily show an ODI increase and axial diffusivity decrease. These age-related variations are not different between males and females, but males show higher NDI and ODI and lower diffusivity than females across many tracts. These findings emphasize the complexity of changes in white matter structure occurring in this critical period of late maturation in early adulthood.

Abstract WP192: Periventricular White Matter Hyperintensities Are Associated With Functional Decline: The Northern Manhattan Study

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Mandip S Dhamoon ◽  
Ying-Kuen Cheung ◽  
Ahmet M Bagci ◽  
Chensy Marquez ◽  
Noam Alperin ◽  
...  
Keyword(s):  
White Matter ◽  
Repeated Measures ◽  
Brain Mri ◽  
Large Population ◽  
Functional Decline ◽  
Brain Regions ◽  
White Matter Hyperintensity ◽  
Periventricular White Matter ◽  
Brain White Matter

Background: We previously showed that overall brain white matter hyperintensity volume (WMHV) was associated with accelerated long-term functional decline. However, it was unclear whether WMHV in particular brain regions was more predictive of decline. We hypothesized that WMHV in particular brain regions would be more predictive of functional decline. Methods: In the Northern Manhattan MRI study, participants had brain MRI with axial T1, T2, and fluid attenuated inversion recovery sequences, with baseline interview and examination. Volumetric WMHV distribution across 14 brain regions (brainstem, cerebellum, and bilateral frontal, occipital, temporal, and parietal lobes, and bilateral anterior and posterior periventricular white matter [PVWM]) was determined separately by combining bimodal image intensity distribution and atlas based methods. Participants had annual functional assessments with the Barthel index (BI, range 0-100) over a mean of 7.3 years and were followed for stroke and myocardial infarction (MI). Due to multiple collinear variables, lasso regression was used to select regional WMHV variables, and adjusted generalized estimating equations models estimated associations with baseline BI and change over time. Results: Among 1195 participants, mean age was 71 (SD 9) years, 460 (39%) were male, 802 (67%) had hypertension and 224 (19%) diabetes. Using lasso regularization, only right anterior PVWM was selected, and each SD increase was associated with accelerated functional decline, of -0.95 additional BI points per year (95% CI -1.20, -0.70) in an unadjusted model, -0.92 points per year (95% CI -1.18, -0.67) with baseline covariate adjustment, and -0.87 points per year (95% CI -1.12, -0.62) after adjusting for stroke and MI. This decline was in addition to a mean decline of -1.13 (95% CI -1.29, -0.97), -1.19 (95% CI -1.36, -1.01), and -1.04 (95% CI -1.21, -0.88) BI points per year, respectively. Conclusions: In this large population-based study with long-term repeated measures of function, periventricular WMHV was particularly associated with accelerated functional decline. Periventricular WMHV may have a greater effect on mobility due to dysfunction in descending leg motor tracts.

Association of regional gray matter volume loss and progression of white matter lesions in multiple sclerosis — A longitudinal voxel-based morphometry study

NeuroImage ◽  
2009 ◽  
Vol 45 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Kerstin Bendfeldt ◽  
Pascal Kuster ◽  
Stefan Traud ◽  
Hanspeter Egger ◽  
Sebastian Winklhofer ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
White Matter Lesions ◽  
Volume Loss ◽  
Voxel Based Morphometry ◽  
Matter Volume

scholarly journals Brainstem volumetric alterations in children with autism

2008 ◽  
Vol 39 (8) ◽  
pp. 1347-1354 ◽  
Author(s):  
R. J. Jou ◽  
N. J. Minshew ◽  
N. M. Melhem ◽  
M. S. Keshavan ◽  
A. Y. Hardan
Keyword(s):  
White Matter ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Children With Autism ◽  
Sensory Profile ◽  
Sensory Sensitivity ◽  
Total Brain Volume ◽  
Matter Volume ◽  
Before And After ◽  
Mri Scans

BackgroundAlthough several studies have examined brainstem volume in autism, results have been mixed and no investigation has specifically measured gray- and white-matter structures. The aim of this investigation was to assess gray- and white-matter volumes in children with autism.MethodSubjects included 22 right-handed, non-mentally retarded boys with autism and 22 gender- and age-matched controls. Magnetic resonance imaging (MRI) scans were obtained using a 1.5-T scanner and volumetric measurements were performed using the BRAINS2 software package. Gray- and white-matter volumes were measured using a semi-automated segmentation process.ResultsThere were no significant differences in age and total brain volume (TBV) between the two groups but full-scale IQ was higher in controls. A decrease in brainstem gray-matter volume was observed in the autism group before and after controlling for TBV. No significant differences were observed in white-matter volume. A significant relationship was observed between brainstem gray-matter volume and oral sensory sensitivity as measured by the Sensory Profile Questionnaire (SPQ).ConclusionsFindings from this study are suggestive of brainstem abnormalities in autism involving gray-matter structures with evidence supporting the existence of a relationship between these alterations and sensory deficits. These results are consistent with previous investigations and support the existence of disturbances in brainstem circuitry thought to be implicated in the sensory dysfunction observed in autism.

scholarly journals Developmental brain structural atypicalities in autism: A voxel-based morphometry analysis

2021 ◽  
Author(s):  
Hui Wang ◽  
Zeng-Hui Ma ◽  
Ling-Zi Xu ◽  
Liu Yang ◽  
Zhao-Zheng Ji ◽  
...  
Keyword(s):  
Gray Matter ◽  
Gray Matter Volume ◽  
Age Groups ◽  
Brain Regions ◽  
Inferior Parietal Lobule ◽  
Voxel Based Morphometry ◽  
Whole Brain ◽  
Autism Group ◽  
Significant Difference ◽  
Parietal Lobule

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.

scholarly journals Investigating morphological changes in the brain in relation to etiology and duration of olfactory dysfunction with voxel-based morphometry

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
E. M. Postma ◽  
P. A. M. Smeets ◽  
W. M. Boek ◽  
S. Boesveldt
Keyword(s):  
Morphological Changes ◽  
Gray Matter Volume ◽  
Brain Regions ◽  
Olfactory Function ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Olfactory Loss ◽  
Olfactory Input ◽  
The Brain ◽  
Gyrus Rectus

AbstractOlfactory loss (OL) affects up to 20% of the general population and is related to changes in olfaction-related brain regions. This study investigated the effect of etiology and duration of OL on gray matter volume (GMV) of these regions in 257 patients. Voxel-based morphometry was applied to measure GMV in brain regions of interest to test the effects of etiology and duration on regional GMV and the relation between olfactory function and regional GMV. Etiology of OL had a significant effect on GMV in clusters representing the gyrus rectus and orbitofrontal cortex (OFC), bilaterally. Patients with congenital anosmia had reduced GMV in the gyrus rectus and an increased OFC volume compared to patients with acquired OL. There was a significant association between volume of the left OFC and olfactory function. This implies that changes in GMV in patients with acquired OL are mainly reflected in the OFC and depend on olfactory function. Morphology of olfactory areas in the brain therefore seems to relate to olfactory function and the subsequent degree of exposure to olfactory input in patients with acquired OL. Differences in GMV in congenital anosmia are most likely due to the fact that patients were never able to smell.

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