Correction for: Decreased gray matter volume and increased white matter volume in patients with neovascular age-related macular degeneration: a voxel-based morphometry study

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.

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Global and regional volume changes in the brains of patients with phenylketonuria

Neurology ◽

10.1212/01.wnl.0000204415.39853.4a ◽

2006 ◽

Vol 66 (7) ◽

pp. 1074-1078 ◽

Cited By ~ 22

Author(s):

B. Pérez-Dueñas ◽

J. Pujol ◽

C. Soriano-Mas ◽

H. Ortiz ◽

R. Artuch ◽

...

Keyword(s):

White Matter ◽

Gray Matter ◽

Premotor Cortex ◽

Gray Matter Volume ◽

Relative Increase ◽

Volume Reduction ◽

Periventricular White Matter ◽

White Matter Volume ◽

Volume Changes ◽

Matter Volume

Background: Although phenylketonuria is a treatable disease, patients with late or nonoptimal phenylalanine-restricted diet may experience brain damage. The authors used tridimensional MRI and a voxelwise analysis method to investigate possible volume changes in the brain parenchyma of patients with phenylketonuria.Methods: The authors assessed 27 treated patients (mean age ± SD, 20 ± 7 years) and 27 matched control subjects. Global tissue volumes were compared, and statistical parametric maps of between-group regional volume differences were obtained for gray and white matter. Anatomic data were correlated with relevant clinical and biochemical variables.Results: Patients with phenylketonuria showed smaller gray matter volumes that were associated with lower IQ and older age at diagnosis. Voxel-based maps revealed that significant gray matter volume reduction occurred in motor and premotor cortex and thalamus. A relative increase in gray matter volume was observed in the ventral part of the striatum. The authors found no group differences for global white matter measurements. Higher recent phenylalanine levels, however, were associated with larger global white matter volume in early-treated patients. Voxel-based maps showed a relative volume reduction in periventricular white matter and a relative increase in the region of the internal capsule, extending to the adjacent thalamus and striatum.Conclusions: Treated patients may show significant gray and white matter volume changes related to the duration and strict observation of dietary treatment. Further studies are needed to investigate whether the presence of neurologic symptoms may be explained by specific anatomic alterations.

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

NeuroImage ◽

10.1016/j.neuroimage.2008.10.006 ◽

2009 ◽

Vol 45 (1) ◽

pp. 60-67 ◽

Cited By ~ 68

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

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Menstrual Cycle Variations in Gray Matter Volume, White Matter Volume and Functional Connectivity: Critical Impact on Parietal Lobe

Frontiers in Neuroscience ◽

10.3389/fnins.2020.594588 ◽

2020 ◽

Vol 14 ◽

Author(s):

Timothy J. Meeker ◽

Dieuwke S. Veldhuijzen ◽

Michael L. Keaser ◽

Rao P. Gullapalli ◽

Joel D. Greenspan

Keyword(s):

White Matter ◽

Menstrual Cycle ◽

Functional Connectivity ◽

Gray Matter ◽

Gray Matter Volume ◽

Gonadal Hormones ◽

White Matter Volume ◽

Menstrual Phase ◽

Hormone Levels ◽

Matter Volume

The role of gonadal hormones in neural plasticity remains unclear. This study aimed to examine the effects of naturally fluctuating hormone levels over the menstrual cycle in healthy females. Gray matter, functional connectivity (FC) and white matter changes over the cycle were assessed by using functional magnetic resonance imaging (fMRI), resting state fMRI, and structural MRIs, respectively, and associated with serum gonadal hormone levels. Moreover, electrocutaneous sensitivity was evaluated in 14 women in four phases of their menstrual cycle (menstrual, follicular, ovulatory, and luteal). Electrocutaneous sensitivity was greater during follicular compared to menstrual phase. Additionally, pain unpleasantness was lower in follicular phase than other phases while pain intensity ratings did not change over the cycle. Significant variations in cycle phase effects on gray matter volume were found in the left inferior parietal lobule (IPL) using voxel-based morphometry. Subsequent Freesurfer analysis revealed greater thickness of left IPL during the menstrual phase when compared to other phases. Also, white matter volume fluctuated across phases in left IPL. Blood estradiol was positively correlated with white matter volume both in left parietal cortex and whole cortex. Seed-driven FC between left IPL and right secondary visual cortex was enhanced during ovulatory phase. A seed placed in right IPL revealed enhanced FC between left and right IPL during the ovulatory phase. Additionally, we found that somatosensory cortical gray matter was thinner during follicular compared to menstrual phase. We discuss these results in the context of likely evolutionary pressures selecting for enhanced perceptual sensitivity across modalities specifically during ovulation.

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Occipital bending in schizophrenia

Australian & New Zealand Journal of Psychiatry ◽

10.1177/0004867416642023 ◽

2016 ◽

Vol 51 (1) ◽

pp. 32-41 ◽

Cited By ~ 8

Author(s):

Jerome J Maller ◽

Rodney J Anderson ◽

Richard H Thomson ◽

Zafiris J Daskalakis ◽

Jeffrey V Rosenfeld ◽

...

Keyword(s):

White Matter ◽

Gray Matter ◽

Healthy Subjects ◽

Psychiatric Illness ◽

Gray Matter Volume ◽

Occipital Lobe ◽

Healthy Controls ◽

White Matter Volume ◽

Matter Volume ◽

Control Subjects

Objective: To investigate the prevalence of occipital bending (an occipital lobe crossing or twisting across the midline) in subjects with schizophrenia and matched healthy controls. Method: Occipital bending prevalence was investigated in 37 patients with schizophrenia and 44 healthy controls. Results: Ratings showed that prevalence was nearly three times higher among schizophrenia patients (13/37 [35.1%]) than in control subjects (6/44 [13.6%]). Furthermore, those with schizophrenia had greater normalized gray matter volume but less white matter volume and had larger brain-to-cranial ratio. Conclusion: The results suggest that occipital bending is more prevalent among schizophrenia patients than healthy subjects and that schizophrenia patients have different gray matter–white matter proportions. Although the cause and clinical ramifications of occipital bending are unclear, the results infer that occipital bending may be a marker of psychiatric illness.

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Plasma pTau181 predicts cortical brain atrophy in aging and Alzheimer’s disease

Alzheimer s Research & Therapy ◽

10.1186/s13195-021-00802-x ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Cécile Tissot ◽

◽

Andréa L. Benedet ◽

Joseph Therriault ◽

Tharick A. Pascoal ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

White Matter ◽

Gray Matter ◽

Brain Atrophy ◽

Gray Matter Volume ◽

Cognitively Impaired ◽

White Matter Volume ◽

Mixed Effect ◽

Matter Volume

Abstract Background To investigate the association of plasma pTau181, assessed with a new immunoassay, with neurodegeneration of white matter and gray matter cross-sectionally and longitudinally, in aging and Alzheimer’s disease. Methods Observational data was obtained from the Alzheimer’s Disease Neuroimaging Initiative, in which participants underwent plasma assessment and magnetic resonance imaging. Based on their clinical diagnosis, participants were classified as cognitively unimpaired and cognitively impaired. Linear regressions and linear mixed-effect models were used to test the cross-sectional and longitudinal associations between baseline plasma pTau181 and neurodegeneration using voxel-based morphometry. Results We observed a negative correlation at baseline between plasma pTau181 and gray matter volume in cognitively unimpaired individuals. In cognitively impaired individuals, we observed a negative association between plasma pTau181 and both gray and white matter volume. In longitudinal analyses conducted in the cognitively unimpaired group, plasma pTau181 was negatively correlated with gray matter volume, starting 36 months after baseline assessments. Finally, in cognitively impaired individuals, plasma pTau181 concentrations were negatively correlated with both gray and white matter volume as early as 12 months after baseline, and neurodegeneration increased in an incremental manner until 48 months. Conclusions Higher levels of plasma pTau181 correlate with neurodegeneration and predict further brain atrophy in aging and Alzheimer’s disease. Plasma pTau181 may be useful in predicting AD-related neurodegeneration, comparable to positron emission tomography or cerebrospinal fluid assessment with high specificity for AD neurodegeneration.

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Topographic patterns of white matter hyperintensities are associated with multimodal neuroimaging biomarkers of Alzheimer’s disease

Alzheimer s Research & Therapy ◽

10.1186/s13195-020-00759-3 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Malo Gaubert ◽

Catharina Lange ◽

Antoine Garnier-Crussard ◽

Theresa Köbe ◽

Salma Bougacha ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

White Matter ◽

Glucose Metabolism ◽

Corpus Callosum ◽

Gray Matter ◽

Fdg Pet ◽

White Matter Hyperintensities ◽

Gray Matter Volume ◽

Matter Volume

Abstract Background White matter hyperintensities (WMH) are frequently found in Alzheimer’s disease (AD). Commonly considered as a marker of cerebrovascular disease, regional WMH may be related to pathological hallmarks of AD, including beta-amyloid (Aβ) plaques and neurodegeneration. The aim of this study was to examine the regional distribution of WMH associated with Aβ burden, glucose hypometabolism, and gray matter volume reduction. Methods In a total of 155 participants (IMAP+ cohort) across the cognitive continuum from normal cognition to AD dementia, FLAIR MRI, AV45-PET, FDG-PET, and T1 MRI were acquired. WMH were automatically segmented from FLAIR images. Mean levels of neocortical Aβ deposition (AV45-PET), temporo-parietal glucose metabolism (FDG-PET), and medial-temporal gray matter volume (GMV) were extracted from processed images using established AD meta-signature templates. Associations between AD brain biomarkers and WMH, as assessed in region-of-interest and voxel-wise, were examined, adjusting for age, sex, education, and systolic blood pressure. Results There were no significant associations between global Aβ burden and region-specific WMH. Voxel-wise WMH in the splenium of the corpus callosum correlated with greater Aβ deposition at a more liberal threshold. Region- and voxel-based WMH in the posterior corpus callosum, along with parietal, occipital, and frontal areas, were associated with lower temporo-parietal glucose metabolism. Similarly, lower medial-temporal GMV correlated with WMH in the posterior corpus callosum in addition to parietal, occipital, and fontal areas. Conclusions This study demonstrates that local white matter damage is correlated with multimodal brain biomarkers of AD. Our results highlight modality-specific topographic patterns of WMH, which converged in the posterior white matter. Overall, these cross-sectional findings corroborate associations of regional WMH with AD-typical Aß deposition and neurodegeneration.

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CHARACTERIZATION OF COGNITIVE PERFORMANCE, GRAY MATTER VOLUME AND WHITE MATTER MICROSTRUCTURE IN COGNITIVELY UNIMPAIRED ADULTS WITH INSOMNIA SYMPTOMS

Alzheimer s & Dementia ◽

10.1016/j.jalz.2019.06.4549 ◽

2019 ◽

Vol 15 (7) ◽

pp. P207-P209

Author(s):

Oriol Grau-Rivera ◽

Grégory Operto ◽

Carles Falcon ◽

Raffaele Cacciaglia ◽

Gonzalo Sánchez-Benavides ◽

...

Keyword(s):

White Matter ◽

Cognitive Performance ◽

Gray Matter ◽

Gray Matter Volume ◽

Matter Volume ◽

White Matter Microstructure ◽

Insomnia Symptoms

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Reproducibility of Brain Volume Changes in Longitudinal Voxel-Based Morphometry Between Non-Accelerated and Accelerated Magnetic Resonance Imaging

Journal of Alzheimer s Disease ◽

10.3233/jad-210596 ◽

2021 ◽

pp. 1-10

Author(s):

Hidemasa Takao ◽

Shiori Amemiya ◽

Osamu Abe ◽

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Magnetic Resonance ◽

Gray Matter ◽

Gray Matter Volume ◽

Elderly Subjects ◽

Voxel Based Morphometry ◽

Volume Changes ◽

Matter Volume ◽

Healthy Elderly

Background: Scan acceleration techniques, such as parallel imaging, can reduce scan times, but reliability is essential to implement these techniques in neuroimaging. Objective: To evaluate the reproducibility of the longitudinal changes in brain morphology determined by longitudinal voxel-based morphometry (VBM) between non-accelerated and accelerated magnetic resonance images (MRI) in normal aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Methods: Using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) 2 database, comprising subjects who underwent non-accelerated and accelerated structural T1-weighted MRI at screening and at a 2-year follow-up on 3.0 T Philips scanners, we examined the reproducibility of longitudinal gray matter volume changes determined by longitudinal VBM processing between non-accelerated and accelerated imaging in 50 healthy elderly subjects, 54 MCI patients, and eight AD patients. Results: The intraclass correlation coefficient (ICC) maps differed among the three groups. The mean ICC was 0.72 overall (healthy elderly, 0.63; MCI, 0.75; AD, 0.63), and the ICC was good to excellent (0.6–1.0) for 81.4%of voxels (healthy elderly, 64.8%; MCI, 85.0%; AD, 65.0%). The differences in image quality (head motion) were not significant (Kruskal–Wallis test, p = 0.18) and the within-subject standard deviations of longitudinal gray matter volume changes were similar among the groups. Conclusion: The results indicate that the reproducibility of longitudinal gray matter volume changes determined by VBM between non-accelerated and accelerated MRI is good to excellent for many regions but may vary between diseases and regions.

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Association of Age at Onset With Gray Matter Volume and White Matter Microstructural Abnormalities in People With Multiple Sclerosis

Neurology ◽

10.1212/wnl.0000000000012869 ◽

2021 ◽

pp. 10.1212/WNL.0000000000012869

Author(s):

Raffaello Bonacchi ◽

Alessandro Meani ◽

Elisabetta Pagani ◽

Olga Marchesi ◽

Andrea Falini ◽

...

Keyword(s):

Multiple Sclerosis ◽

White Matter ◽

Gray Matter ◽

Linear Models ◽

Gray Matter Volume ◽

Age At Onset ◽

Healthy Controls ◽

Compensatory Mechanisms ◽

Cross Sectional ◽

Matter Volume

Objective:To investigate whether age at onset influences brain gray matter volume (GMV) and white matter (WM) microstructural abnormalities in adult multiple sclerosis (MS) patients, given its influence on clinical phenotype and disease course.Method:In this hypothesis-driven cross-sectional study, we enrolled 67 pediatric-onset MS (POMS) patients and 143 sex- and disease duration (DD)-matched randomly-selected adult-onset MS (AOMS) patients, together with 208 healthy controls. All subjects underwent neurological evaluation and 3T MRI acquisition. MRI variables were standardized based on healthy controls, to remove effects of age and sex. Associations with DD in POMS and AOMS patients were studied with linear models. Time to reach clinical and MRI milestones was assessed with product-limit approach.Results:At DD=1 year, GMV and WM fractional anisotropy (FA) were abnormal in AOMS but not in POMS patients. Significant interaction of age at onset (POMS vs AOMS) into the association with DD was found for GMV and WM FA. The crossing point of regression lines in POMS and AOMS patients was at 20 years of DD for GMV and 14 for WM FA. For POMS and AOMS patients, median DD was 29 and 19 years to reach Expanded Disability Status Scale=3 (p<0.001), 31 and 26 years to reach abnormal Paced Auditory Serial Addition Task-3 (p=0.01), 24 and 18 years to reach abnormal GMV (p=0.04), and 19 and 17 years to reach abnormal WM FA (p=0.36).Conclusions:Younger patients are initially resilient to MS-related damage. Then, compensatory mechanisms start failing with loss of WM integrity, followed by GM atrophy and finally disability.

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