scholarly journals Women with autistic-spectrum disorder: magnetic resonance imaging study of brain anatomy

2007 ◽  
Vol 191 (3) ◽  
pp. 224-228 ◽  
Author(s):  
Michaelc. Craig ◽  
Shahid H. Zaman ◽  
Eileen M. Daly ◽  
William J. Cutter ◽  
Dene M. W. Robertson ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Autistic Spectrum Disorder ◽  
Grey Matter ◽  
Matter Density ◽  
Spectrum Disorder ◽  
Brain Anatomy ◽  
Resonance Imaging ◽  
Autistic Spectrum

BackgroundOur understanding of anatomical differences in people with autistic-spectrum disorder, is based on mixed-gender or male samples.AimsTo study regional grey-matter and white-matter differences in the brains of women with autistic-spectrum disorder.MethodWe compared the brain anatomy of 14 adult women with autistic-spectrum disorder with 19 controls using volumetric magnetic resonance imaging and voxel-based morphometry Results Women with autistic-spectrum disorder had a smaller density bilaterally of grey matter in the frontotemporal cortices and limbic system, and of white matter in the temporal lobes (anterior) and pons. In contrast, they had a larger white-matter density bilaterally in regions of the association and projection fibres of the frontal, parietal, posterior temporal and occipital lobes, in the commissural fibres of the corpus callosum (splenium) and cerebellum (anterior lobe). Further, we found a negative relationship between reduced grey-matter density in right limbic regions and social communication ability.ConclusionsWomen with autistic-spectrum disorder have significant differences in brain anatomy from controls, in brain regions previously reported as abnormal in adult men with the disorder. Some anatomical differences may be related to clinical symptoms.

scholarly journals Psychosis and autism: magnetic resonance imaging study of brain anatomy

2009 ◽  
Vol 194 (5) ◽  
pp. 418-425 ◽  
Author(s):  
Fiona Toal ◽  
Oswald J. N. Bloemen ◽  
Quinton Deeley ◽  
Nigel Tunstall ◽  
Eileen M. Daly ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Autism Spectrum Disorder ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Mental Health Problems ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Brain Anatomy ◽  
Resonance Imaging

BackgroundAutism-spectrum disorder is increasingly recognised, with recent studies estimating that 1% of children in South London are affected. However, the biology of comorbid mental health problems in people with autism-spectrum disorder is poorly understood.AimsTo investigate the brain anatomy of people with autism-spectrum disorder with and without psychosis.MethodWe used in vivo magnetic resonance imaging and compared 30 adults with autism-spectrum disorder (14 with a history of psychosis) and 16 healthy controls.ResultsCompared with controls both autism-spectrum disorder groups had significantly less grey matter bilaterally in the temporal lobes and the cerebellum. In contrast, they had increased grey matter in striatal regions. However, those with psychosis also had a significant reduction in grey matter content of frontal and occipital regions. Contrary to our expectation, within autism-spectrum disorder, comparisons revealed that psychosis was associated with a reduction in grey matter of the right insular cortex and bilaterally in the cerebellum extending into the fusiform gyrus and the lingual gyrus.ConclusionsThe presence of neurodevelopmental abnormalities normally associated with autism-spectrum disorder might represent an alternative ‘entry-point’ into a final common pathway of psychosis.

Clinical and anatomical heterogeneity in autistic spectrum disorder: a structural MRI study

2009 ◽  
Vol 40 (7) ◽  
pp. 1171-1181 ◽  
Author(s):  
F. Toal ◽  
E. M. Daly ◽  
L. Page ◽  
Q. Deeley ◽  
B. Hallahan ◽  
...  
Keyword(s):  
Asperger Syndrome ◽  
Autistic Spectrum Disorder ◽  
Grey Matter ◽  
Clinical Phenotype ◽  
Brain Regions ◽  
Spectrum Disorder ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Autistic Spectrum ◽  
Adults With Asd

BackgroundAutistic spectrum disorder (ASD) is characterized by stereotyped/obsessional behaviours and social and communicative deficits. However, there is significant variability in the clinical phenotype; for example, people with autism exhibit language delay whereas those with Asperger syndrome do not. It remains unclear whether localized differences in brain anatomy are associated with variation in the clinical phenotype.MethodWe used voxel-based morphometry (VBM) to investigate brain anatomy in adults with ASD. We included 65 adults diagnosed with ASD (39 with Asperger syndrome and 26 with autism) and 33 controls who did not differ significantly in age or gender.ResultsVBM revealed that subjects with ASD had a significant reduction in grey-matter volume of medial temporal, fusiform and cerebellar regions, and in white matter of the brainstem and cerebellar regions. Furthermore, within the subjects with ASD, brain anatomy varied with clinical phenotype. Those with autism demonstrated an increase in grey matter in frontal and temporal lobe regions that was not present in those with Asperger syndrome.ConclusionsAdults with ASD have significant differences from controls in the anatomy of brain regions implicated in behaviours characterizing the disorder, and this differs according to clinical subtype.

scholarly journals Grey matter abnormalities in trichotillomania: morphometric magnetic resonance imaging study

2008 ◽  
Vol 193 (3) ◽  
pp. 216-221 ◽  
Author(s):  
Samuel R. Chamberlain ◽  
Lara A. Menzies ◽  
Naomi A. Fineberg ◽  
Natalia del Campo ◽  
John Suckling ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Affect Regulation ◽  
Grey Matter ◽  
Hippocampal Formation ◽  
Imaging Study ◽  
Resonance Imaging ◽  
Whole Brain ◽  
Axis I

BackgroundTrichotillomania (repetitive hair-pulling) is an Axis I psychiatric disorder whose neurobiological basis is incompletely understood. Whole-brain trichotillomania neuroimaging studies are lacking.AimsTo investigate grey and white matter abnormalities over the whole brain in patients with trichotillomania.MethodEighteen patients with DSM–IV trichotillomania and 19 healthy controls undertook structural magnetic resonance imaging after providing written informed consent. Differences in grey and white matter were investigated using computational morphometry.ResultsPatients with trichotillomania showed increased grey matter densities in the left striatum, left amygdalo-hippocampal formation, and multiple (including cingulate, supplementary motor, and frontal) cortical regions bilaterally.ConclusionsTrichotillomania was associated with structural grey matter changes in neural circuitry implicated in habit learning, cognition and affect regulation. These findings inform animal models of the disorder and highlight key regions of interest for future translational research.

scholarly journals Oxygen challenge magnetic resonance imaging in healthy human volunteers

2016 ◽  
Vol 37 (1) ◽  
pp. 366-376 ◽  
Author(s):  
Krishna A Dani ◽  
Fiona C Moreton ◽  
Celestine Santosh ◽  
Rosario Lopez ◽  
David Brennan ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
White Matter ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Statistical Significance ◽  
Resonance Imaging ◽  
Two Stage ◽  
Healthy Human

Oxygen challenge imaging involves transient hyperoxia applied during deoxyhaemoglobin sensitive (T2*-weighted) magnetic resonance imaging and has the potential to detect changes in brain oxygen extraction. In order to develop optimal practical protocols for oxygen challenge imaging, we investigated the influence of oxygen concentration, cerebral blood flow change, pattern of oxygen administration and field strength on T2*-weighted signal. Eight healthy volunteers underwent multi-parametric magnetic resonance imaging including oxygen challenge imaging and arterial spin labelling using two oxygen concentrations (target FiO2 of 100 and 60%) administered consecutively (two-stage challenge) at both 1.5T and 3T. There was a greater signal increase in grey matter compared to white matter during oxygen challenge (p < 0.002 at 3T, P < 0.0001 at 1.5T) and at FiO2 = 100% compared to FiO2 = 60% in grey matter at both field strengths (p < 0.02) and in white matter at 3T only (p = 0.0314). Differences in the magnitude of signal change between 1.5T and 3T did not reach statistical significance. Reduction of T2*-weighted signal to below baseline, after hyperoxia withdrawal, confounded interpretation of two-stage oxygen challenge imaging. Reductions in cerebral blood flow did not obscure the T2*-weighted signal increases. In conclusion, the optimal protocol for further study should utilise target FiO2 = 100% during a single oxygen challenge. Imaging at both 1.5T and 3T is clinically feasible.

Diffusion tensor imaging abnormalities in depressed multiple sclerosis patients

2009 ◽  
Vol 16 (2) ◽  
pp. 189-196 ◽  
Author(s):  
A. Feinstein ◽  
P. O'Connor ◽  
N. Akbar ◽  
L. Moradzadeh ◽  
CJM Scott ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multiple Sclerosis ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Diffusion Tensor ◽  
Mean Diffusivity ◽  
Resonance Imaging ◽  
Normal Appearing White Matter

Depression is common in patients with multiple sclerosis, but to date no studies have explored diffusion tensor imaging indices associated with mood change. This study aimed to determine cerebral correlates of depression in multiple sclerosis patients using diffusion tensor imaging. Sixty-two subjects with multiple sclerosis were assessed for depression with the Beck Depression Inventory (BDI-II). All subjects underwent magnetic resonance imaging. Whole brain and regional volumes were calculated for lesions (hyper/hypointense) and normal-appearing white and grey matter. Fractional anisotropy and mean diffusivity were calculated for each brain region. Magnetic resonance imaging comparisons were undertaken between depressed (Beck Depression Inventory ≥19) and non-depressed subjects. Depressed subjects (n = 30) had a higher hypointense lesion volume in the right medial inferior frontal region, a smaller normal-appearing white matter volume in the left superior frontal region, and lower fractional anisotropy and higher mean diffusivity in the left anterior temporal normal-appearing white matter and normal-appearing grey matter regions, respectively. Depressed subjects also had higher mean diffusivity in right inferior frontal hyperintense lesions. Magnetic resonance imaging variables contributed to 43% of the depression variance. We conclude that the presence of more marked diffusion tensor imaging abnormalities in the normal-appearing white matter and normal-appearing grey matter of depressed subjects highlights the importance of more subtle measures of structural brain change in the pathogenesis of depression.

Advanced magnetic resonance imaging of neuromyelitis optica: a multiparametric approach

2011 ◽  
Vol 18 (6) ◽  
pp. 817-824 ◽  
Author(s):  
A Pichiecchio ◽  
E Tavazzi ◽  
G Poloni ◽  
M Ponzio ◽  
F Palesi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Diffusion Tensor Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Diffusion Tensor ◽  
Healthy Controls ◽  
Voxel Based Morphometry ◽  
Resonance Imaging ◽  
Normal Appearing White Matter

Background: Several authors have used advanced magnetic resonance imaging (MRI) techniques to investigate whether patients with neuromyelitis optica (NMO) have occult damage in normal-appearing brain tissue, similarly to multiple sclerosis (MS). To date, the literature contains no data derived from the combined use of several advanced MRI techniques in the same NMO subjects. Objective: We set out to determine whether occult damage could be detected in the normal-appearing brain tissue of a small group of patients with NMO using a multiparametric MRI approach. Methods: Eight female patients affected by NMO (age range 44–58 years) and seven sex- and age-matched healthy controls were included. The techniques used on a 1.5 T MRI imaging scanner were magnetization transfer imaging, diffusion tensor imaging, tract-based spatial statistics, spectroscopy and voxel-based morphometry in order to analyse normal-appearing white matter and normal-appearing grey matter. Results: Structural and metabolic parameters showed no abnormalities in normal-appearing white matter of patients with NMO. Conversely, tract-based spatial statistics demonstrated a selective alteration of the optic pathways and the lateral geniculate nuclei. Diffusion tensor imaging values in the normal-appearing grey matter were found to be significantly different in the patients with NMO versus the healthy controls. Moreover, voxel-based morphometry analysis demonstrated a significant density and volume reduction of the sensorimotor cortex and the visual cortex. Conclusions: Our data disclosed occult structural damage in the brain of patients with NMO, predominantly involving regions connected with motor and visual systems. This damage seems to be the direct consequence of transsynaptic degeneration triggered by lesions of the optic nerve and spine.

scholarly journals Magnetic resonance imaging (MRI) volumetry in children with nonlesional epilepsy, does it help?

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Ehab Ali Abdelgawad ◽  
Samir M. Mounir ◽  
Marah M. Abdelhay ◽  
Mohammed A. Ameen
Keyword(s):  
Magnetic Resonance Imaging ◽  
White Matter ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Normal Group ◽  
Grey Matter Volume ◽  
White Matter Volume ◽  
Resonance Imaging ◽  
Matter Volume ◽  
The Right

Abstract Background Epilepsy is a chronic condition characterized by repeated spontaneous seizures. It affects up to 1% of the population worldwide. Children with magnetic resonance imaging (MRI) negative (or “nonlesional”) focal epilepsy constitute the most challenging pharmacoresistant group undergoing pre-neurosurgical evaluation. Volumetric magnetic resonance imaging (VMRI) is a non-invasive brain imaging technique done to measure the volume and structure of specific regions of the brain. It is useful for many things, but primarily for discovering atrophy (wasting away of body tissue) and measuring its progression. The aim of this study is to assess role of volumetric magnetic resonance imaging in evaluation of nonlesional childhood epilepsy in which no specific findings detected in conventional MRI. Results There were 20 children with normal MRI brain volumetry (33.3%) and 40 children (66.6%) with abnormal MRI brain volumetry. Grey matter volume in the abnormal group was significantly higher (P value was 0.001*) than the normal group (mean ± S.D 934.04 ± 118.12 versus 788.57 ± 57.71 respectively). White matter volume in the abnormal group was significantly smaller (P value was < 0.0001*) than in the normal group (mean ± S.D 217.79 ± 65.22 versus 418.07 ± 103.76 respectively). Right hippocampus CA4-DG volume in the abnormal volume group was found to be significantly smaller (P value < 0.0001*) than that of the normal group volume (mean ± S.D 0.095 ± 0.04 versus 0.32 ± 0.36 respectively). Right hippocampus subiculum volume in the abnormal volume group were found to be significantly smaller (P value was < 0.0001*) than that of the normal group volume (mean ± S.D 0.42 ± 0.11 versus 0.84 ± 0.09 respectively). Thalamus volume in the abnormal group was significantly smaller (P value 0.048*) than in the normal group (mean ± S.D 10.235 ± 3.22 versus 11.82 ± 0.75 respectively). Right thalamus was significantly smaller (P value was 0.028*) than in the normal group (mean ± S.D 5.01 ± 1.62 versus 5.91 ± 0.39 respectively). The sensitivity of the right hippocampus subiculum volume and right hippocampus CA4-DG was 100%. The sensitivity of white matter volume and grey matter volume and thalamus was 85% and 75% and 55% respectively. The specificity of the right hippocampus subiculum volume and right hippocampus CA4-DG was 90% and 90% respectively. The specificity of the right hippocampus subiculum volume and right hippocampus CA4-DG and grey matter volume and white matter volume and total hippocampus and thalamus was 100%. The specificity of brain volume was 60%. The accuracy of the right hippocampus subiculum volume and right hippocampus CA4-DG was 100%. The specificity of white matter volume, grey matter volume, thalamus, total hippocampus, and brain volume was 97%, 87%, 65%, 61%, and 57% respectively. Conclusion Volumetric magnetic resonance imaging is a promising imaging technique that can provide assistance in evaluation of nonlesional pharmacoresistant childhood epilepsy.

scholarly journals Brain Magnetic Resonance Imaging Pattern in Cerebral Palsy

2021 ◽  
Author(s):  
Prastiya Indra Gunawan ◽  
Riza Noviandi ◽  
Sunny Mariana Samosir
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cerebral Palsy ◽  
White Matter ◽  
Magnetic Resonance ◽  
Disease Severity ◽  
Grey Matter ◽  
White Matter Injury ◽  
Control Group ◽  
Resonance Imaging ◽  
Grey Matter Injury

Abstract Background Cerebral palsy (CP) leads to a common static motor neurological disease in children that can be demonstrated with varied neuroimaging findings. Magnetic Resonance Imaging (MRI) has a vital role of determining the presence of brain injury and its extent, with any possibility of determining pathogenic pattern and disease severity. The objective of the study is to evaluate the neuroimaging findings in CP and their correlation to disease severity. Method The research was case-control study, consecutive and complete records of all patients who had a clinical diagnosis of CP and performed a head MRI between 2018 and 2019 were enrolled in this study. Cases group were children diagnosed as severe CP with The Gross Motor Function Classification System (GMFCS) IV-V. Control group were children confirmed as CP with GMFCS I-III. Brain imaging was examined by MRI, in which the abnormalities were classified into grey matter or white matter injury, focal vascular disorder and brain malformation. Kruskal-Wallis statistical analysis was applied to identify the correlation. Results Almost 60 cases were reviewed. White matter injury, malformation and focal vascular insult were not correlated significantly to CP severity (OR = 0.73; 95% CI = 0.2-2.2; p = 0.78 and OR = 0.61; 95% CI = 0.2-1.9; p = 0.57 and OR = 2.034; 95% CI = 0.51-0.76; p = 0.63, respectively). Grey matter injury was more frequent discovered in severe CP (50%) and increased the risk of CP severity (OR = 9; 95% CI = 2.2 – 36; p = 0.002). Conclusion Grey matter injury is considered the most frequent abnormalities of Brain MRI in CP and it could increase the risk of severity.

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