Magnetic resonance imaging measurement of gray matter volume reductions in HIV dementia

1995 ◽  
Vol 152 (7) ◽  
pp. 987-994 ◽  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Hiv Dementia ◽  
Resonance Imaging ◽  
Magnetic Resonance Imaging Measurement ◽  
Matter Volume

scholarly journals Multimodal Magnetic Resonance Imaging reveals alterations of sensorimotor circuits in restless legs syndrome

SLEEP ◽  
2019 ◽  
Vol 42 (12) ◽  
Author(s):  
Ambra Stefani ◽  
Thomas Mitterling ◽  
Anna Heidbreder ◽  
Ruth Steiger ◽  
Christian Kremser ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Disease Duration ◽  
Gray Matter Volume ◽  
Resonance Imaging ◽  
Iron Storage ◽  
Matter Volume ◽  
The Right

Abstract Study Objectives Integrated information on brain microstructural integrity and iron storage and its impact on the morphometric profile is not available in restless legs syndrome (RLS). We applied multimodal magnetic resonance imaging (MRI) including diffusion tensor imaging, the transverse relaxation rate (R2*), a marker for iron storage, as well as gray and white matter volume measures to characterize RLS-related MRI signal distribution patterns and to analyze their associations with clinical parameters. Methods Eighty-seven patients with RLS (mean age 51, range 20–72 years; disease duration, mean 13 years, range 1–46 years, of those untreated n = 30) and 87 healthy control subjects, individually matched for age and gender, were investigated with multimodal 3T MRI. Results Volume of the white matter compartment adjacent to the post- and precentral cortex and fractional anisotropy (FA) of the frontopontine tract were both significantly reduced in RLS compared to healthy controls, and these alterations were associated with disease duration (r = 0.25, p = 0.025 and r = 0.23, p = 0.037, respectively). Corresponding gray matter volume increases of the right primary motor cortex in RLS (p < 0.001) were negatively correlated with the right FA signal of the frontopontine tract (r = −0.22; p < 0.05). Iron content evaluated with R2* was reduced in the putamen as well as in temporal and occipital compartments of the RLS cohort compared to the control group (p < 0.01). Conclusions Multimodal MRI identified progressing white matter decline of key somatosensory circuits that may underlie the perception of sensory leg discomfort. Increases of gray matter volume of the premotor cortex are likely to be a consequence of functional neuronal reorganization.

Precentral and cerebellar atrophic changes in moyamoya disease using 7-T magnetic resonance imaging

2019 ◽  
Vol 61 (4) ◽  
pp. 487-495
Author(s):  
Hyeong Cheol Moon ◽  
Byeong Ho Oh ◽  
Chaejoon Cheong ◽  
Won Seop Kim ◽  
Kyung Soo Min ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Moyamoya Disease ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Healthy Controls ◽  
Resonance Imaging ◽  
Matter Volume ◽  
Age Range

Background Chronic repeated transient ischemic changes are one of the common symptoms of moyamoya disease that could affect cortical and subcortical atrophy. Purpose We aimed to assess the cortical gray matter volume and thickness, white matter subcortical volume, and clinical characteristics using 7-T magnetic resonance imaging (MRI) and MR angiography (MRA). Material and Methods In this case-control study, whole-brain parcellation of gray matter and subcortical volumes were manually assessed in nine patients with moyamoya disease (18 hemispheres; median age = 34 years; age range = 10–60 years) and nine healthy controls (18 hemispheres; median age = 29 years; age range = 20–62 years) matched for age and sex, who underwent both 7-T MRI and MRA. The volumes were measured using high-resolution image (<1 mm) processing based on the Desikan-Killiany-Tourville (DKT) atlas, via an automated segmentation method (FreeSurfer version 6.0). Results The gray matter volume of the left precentral cortex and the white matter volume of the subcortical cerebellum were lower in both hemispheres in the patients with moyamoya disease compared to the healthy controls. Conclusion Gray matter atrophy in the precentral cortex and cerebellar white matter were detected in this 7-T MRI volumetric analysis study of patients with moyamoya disease who experienced repeated transient ischemic changes. Cortical atrophy in precentral cortex and cerebellum could explain the transient motor weakness in patients with moyamoya disease, as one of the early findings was that patients with moyamoya disease do not have detectable infarction changes on conventional MRI images.

Regional network of magnetic resonance imaging gray matter volume in healthy aging

Neuroreport ◽  
2006 ◽  
Vol 17 (10) ◽  
pp. 951-956 ◽  
Author(s):  
Gene E. Alexander ◽  
Kewei Chen ◽  
Tricia L. Merkley ◽  
Eric M. Reiman ◽  
Richard J. Caselli ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Healthy Aging ◽  
Gray Matter Volume ◽  
Resonance Imaging ◽  
Regional Network ◽  
Matter Volume

Elevated Aortic Pulse Wave Velocity Relates to Longitudinal Gray and White Matter Changes

2021 ◽  
Author(s):  
Corey W. Bown ◽  
Omair A. Khan ◽  
Elizabeth E. Moore ◽  
Dandan Liu ◽  
Kimberly R. Pechman ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Brain Magnetic Resonance Imaging ◽  
Aortic Pulse Wave Velocity ◽  
Resonance Imaging ◽  
Gray Matter Volumes ◽  
Over Time

Objective: To determine whether baseline aortic stiffness, measured by aortic pulse wave velocity (PWV), relates to longitudinal cerebral gray or white matter changes among older adults. Baseline cardiac magnetic resonance imaging will be used to assess aortic PWV while brain magnetic resonance imaging will be used to assess gray matter and white matter hyperintensity (WMH) volumes at baseline, 18 months, 3 years, 5 years, and 7 years. Approach and Results: Aortic PWV (m/s) was quantified from cardiac magnetic resonance. Multimodal 3T brain magnetic resonance imaging included T 1 -weighted imaging for quantifying gray matter volumes and T 2 -weighted fluid-attenuated inversion recovery imaging for quantifying WMHs. Mixed-effects regression models related baseline aortic PWV to longitudinal gray matter volumes (total, frontal, parietal, temporal, occipital, hippocampal, and inferior lateral ventricle) and WMH volumes (total, frontal, parietal, temporal, and occipital) adjusting for age, sex, race/ethnicity, education, cognitive diagnosis, Framingham stroke risk profile, APOE (apolipoprotein E)-ε4 carrier status, and intracranial volume. Two hundred seventy-eight participants (73±7 years, 58% male, 87% self-identified as non-Hispanic White, 159 with normal cognition, and 119 with mild cognitive impairment) from the Vanderbilt Memory & Aging Project (n=335) were followed on average for 4.9±1.6 years with PWV measurements occurring from September 2012 to November 2014 and longitudinal brain magnetic resonance imaging measurements occurring from September 2012 to June 2021. Higher baseline aortic PWV was related to greater decrease in hippocampal (β=−3.6 [mm 3 /y]/[m/s]; [95% CI, −7.2 to −0.02] P =0.049) and occipital lobe (β=−34.2 [mm 3 /y]/[m/s]; [95% CI, −67.8 to −0.55] P =0.046) gray matter volume over time. Higher baseline aortic PWV was related to greater increase in WMH volume over time in the temporal lobe (β=17.0 [mm 3 /y]/[m/s]; [95% CI, 7.2–26.9] P <0.001). All associations may be driven by outliers. Conclusions: In older adults, higher baseline aortic PWV related to greater decrease in gray matter volume and greater increase in WMHs over time. Because of unmet cerebral metabolic demands and microvascular remodeling, arterial stiffening may preferentially affect certain highly active brain regions like the temporal lobes. These same regions are affected early in the course of Alzheimer disease.

scholarly journals Gray Matter Structural Alterations in Chronic and Episodic Migraine: A Morphometric Magnetic Resonance Imaging Study

Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 2997-3011
Author(s):  
Álvaro Planchuelo-Gómez ◽  
David García-Azorín ◽  
Ángel L Guerrero ◽  
Margarita Rodríguez ◽  
Santiago Aja-Fernández ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Chronic Migraine ◽  
Gray Matter ◽  
Structural Parameters ◽  
Gray Matter Volume ◽  
Episodic Migraine ◽  
Healthy Controls ◽  
Resonance Imaging ◽  
Structural Alterations ◽  
Matter Volume

Abstract Objective This study evaluates different parameters describing the gray matter structure to analyze differences between healthy controls, patients with episodic migraine, and patients with chronic migraine. Design Cohort study. Setting Spanish community. Subjects Fifty-two healthy controls, 57 episodic migraine patients, and 57 chronic migraine patients were included in the study and underwent T1-weighted magnetic resonance imaging acquisition. Methods Eighty-four cortical and subcortical gray matter regions were extracted, and gray matter volume, cortical curvature, thickness, and surface area values were computed (where applicable). Correlation analysis between clinical features and structural parameters was performed. Results Statistically significant differences were found between all three groups, generally consisting of increases in cortical curvature and decreases in gray matter volume, cortical thickness, and surface area in migraineurs with respect to healthy controls. Furthermore, differences were also found between chronic and episodic migraine. Significant correlations were found between duration of migraine history and several structural parameters. Conclusions Migraine is associated with structural alterations in widespread gray matter regions of the brain. Moreover, the results suggest that the pattern of differences between healthy controls and episodic migraine patients is qualitatively different from that occurring between episodic and chronic migraine patients.

scholarly journals Evolution of Brain Morphology in Spontaneously Hypertensive and Wistar-Kyoto Rats From Early Adulthood to Aging: A Longitudinal Magnetic Resonance Imaging Study

2021 ◽  
Vol 13 ◽  
Author(s):  
Yingying Yang ◽  
Quan Zhang ◽  
Jialiang Ren ◽  
Qingfeng Zhu ◽  
Lixin Wang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Gray Matter ◽  
Gray Matter Volume ◽  
Brain Morphology ◽  
Resonance Imaging ◽  
Spontaneously Hypertensive ◽  
Matter Volume ◽  
Septal Region ◽  
Accumbens Nucleus ◽  
Wistar Kyoto

The influence of hypertension and aging alone on brain structure has been described extensively. Our understanding of the interaction of hypertension with aging to brain morphology is still limited. We aimed to detect the synergistic effects of hypertension and aging on brain morphology and to describe the evolution patterns of cerebral atrophy from spatial and temporal perspectives. In 8 spontaneously hypertensive rats (SHRs) and 5 Wistar-Kyoto rats, high-resolution magnetic resonance imaging scans were longitudinally acquired at 10, 24, 52, and 80 weeks. We analyzed the tissue volumes of gray matter, white matter, cerebral spinal fluid, and total intracranial volume (TIV), and then evaluated gray matter volume in detail using voxel-based morphometry (VBM) and region of interest-based methods. There were interactive effects on hypertension and aging in tissue volumes of gray matter, white matter, and TIV, of which gray matter atrophy was most pronounced, especially in elderly SHRs. We identified the vulnerable gray matter volume with combined effects of hypertension and aging in the septal region, bilateral caudate putamen, hippocampus, primary somatosensory cortex, cerebellum, periaqueductal gray, right accumbens nucleus, and thalamus. We automatically extracted the septal region, anterior cingulate cortex, primary somatosensory cortex, caudate putamen, hippocampus, and accumbens nucleus and revealed an inverted-U trajectory of volume change in SHRs, with volume increase at the early phase and decline at the late phase. Hypertension interacts with aging to affect brain volume changes such as severe atrophy in elderly SHRs.

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