scholarly journals INFLUENCE OF PSYCHOTIC EPISODES ON GREY MATTER VOLUME CHANGES IN PATIENTS WITH SCHIZOPHRENIA

2020 ◽  
Author(s):  
Antonija Ružić Baršić ◽  
Gordana Rubeša ◽  
Diana Mance ◽  
Damir Miletić ◽  
Lea Gudelj ◽  
...  
Keyword(s):  
Grey Matter ◽  
Disease Duration ◽  
Severe Illness ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Multiple Regions ◽  
Magnetic Resonance Imaging Mri ◽  
The Brain

Background: Schizophrenia is a severe illness whose clinical course is characterized by various numbers of psychotic episodes (PE). The neurotoxic hypothesis (NH) of schizophrenia assumes that psychosis is biologically toxic. The aim of the study was to investigate whether schizophrenia patients (SP) with multiple PE have greater grey matter volume (GMV) reduction compared to SP with fewer PE.Subjects and methods: We enrolled 106 adult SP and 63 healthy controls. Demographic and clinical data were collected and statistically analysed for all included subjects. Magnetic resonance imaging (MRI) of the brain was acquired on a 1.5 T scanner. SP were grouped according to the number of PE into a group with up to 3 PE (SCHG-1) and with 4 or more PE (SCHG-2). SCHG-1 was further subdivided into two groups regarding to disease duration (DD). Voxel based morphometry (VBM) analyses were performed between SP groups as well as between SP groups and the healthy controls group (HCG).Results: No relevant GMV differences were detected between SP groups. Comparison between HCG and SCHG-1 showed only 3 regions with reduced GMV, while multiple regions with reduced GMV were detected when comparing HCG and SCHG-2. Conclusions: GMV reduction in schizophrenia varies depending on the number of PE when compared to HCG, regardless of disease duration (DD), but PE is not the only contributing factor that leads to neurotoxicity.

scholarly journals Voxel-based morphometry in amyotrophic lateral sclerosis

2019 ◽  
Vol 99 (6) ◽  
pp. 287-294
Author(s):  
I. S. Bakulin ◽  
R. N. Konovalov ◽  
M. V. Krotenkova ◽  
N. A. Suponeva ◽  
M. N. Zakharova
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Grey Matter ◽  
Middle Part ◽  
Grey Matter Volume ◽  
Precentral Gyrus ◽  
Healthy Controls ◽  
Voxel Based Morphometry ◽  
Matter Volume ◽  
Occipital Lobes ◽  
Lateral Sclerosis

Objective:to investigate changes in grey matter volume in patients with classical amyotrophic lateral sclerosis (ALS) and lower motor neuron syndrome (LMNS) with voxel-based morphometry (VBM).Material and methods. 30 patients with classical ALS, 22 patients with LMNS and 23 age and gender matched healthy controls were enrolled in this study. All participants underwent a T1MPR (multiplanar reconstruction) magnetic resonance imaging with post-processing included spatial normalization, segmentation and smoothing. VBM was used to investigate changes in grey matter volume across the groups.Results. There was a significant decrease in grey matter volume of middle part of left pre- and postcentral gyri, middle part of right precentral gyrus, right and left occipital lobes in patients with classical ALS compared to healthy subjects. There was no difference in grey matter volume between patients with LMNS and healthy controls. Patients with classical ALS showed a significant decrease in grey matter volume of middle part of left preand postcentral gyri, upper part of left precentral gyrus, middle and upper parts of right precentral gyrus, right and left occipital lobes compared to patients with LMNS. There was no significant correlation between grey matter volume and clinical findings in patients with ALS and LMNS.Conclusion.VBM reveals a decrease in grey matter volume of motor and nonmotor brain regions in patients with classical ALS, but not in patients with LMNS.

Thalamic and Cerebellar Gray Matter Volume Reduction in Synthetic Cannabinoids Users

2015 ◽  
Vol 21 (6) ◽  
pp. 315-320 ◽  
Author(s):  
Serdar Nurmedov ◽  
Baris Metin ◽  
Sehadet Ekmen ◽  
Onur Noyan ◽  
Onat Yilmaz ◽  
...  
Keyword(s):  
Grey Matter ◽  
Cannabinoid Receptors ◽  
Gray Matter Volume ◽  
Synthetic Cannabinoids ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Matter Volume ◽  
Cerebellar Gray Matter ◽  
Morphological Differences ◽  
The Brain

Background: Synthetic cannabinoids are compounds that bind cannabinoid receptors with a high potency and have been used widely in Europe by young people. However, little is known about the pharmacology and morphological effects of this group of substances in the brain. This study is aimed at investigating the morphological differences among synthetic cannabinoids users and healthy controls. Methods: Voxel-based morphometry was used to investigate the differences in brain tissue composition in 20 patients with synthetic cannabinoids use and 20 healthy controls. All participants were male. Results: Compared to healthy controls, voxel of interest analyses showed that regional grey matter volume in both left and right thalamus and left cerebellum was significantly reduced in synthetic cannabinoids users (p < 0.05). No correlation has been found between the age of first cannabis use, duration of use, frequency of use and grey matter volume. Discussion: These preliminary results suggest an evidence of some structural differences in the brain of synthetic cannabinoids users, and point the need for further investigation of morphological effects of synthetic cannabinoids in the brain.

scholarly journals Neuroanatomical correlates of different vulnerability states for psychosis and their clinical outcomes

2009 ◽  
Vol 195 (3) ◽  
pp. 218-226 ◽  
Author(s):  
Nikolaos Koutsouleris ◽  
Gisela J. E. Schmitt ◽  
Christian Gaser ◽  
Ronald Bottlender ◽  
Johanna Scheuerecker ◽  
...  
Keyword(s):  
At Risk ◽  
Clinical Outcome ◽  
Mental State ◽  
Grey Matter ◽  
Mental States ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Imaging Data ◽  
Matter Volume ◽  
At Risk Mental State

BackgroundStructural brain abnormalities have been described in individuals with an at-risk mental state for psychosis. However, the neuroanatomical underpinnings of the early and late at-risk mental state relative to clinical outcome remain unclear.AimsTo investigate grey matter volume abnormalities in participants in a putatively early or late at-risk mental state relative to their prospective clinical outcome.MethodVoxel-based morphometry of magnetic resonance imaging data from 20 people with a putatively early at-risk mental state (ARMS–E group) and 26 people with a late at-risk mental state (ARMS–L group) as well as from 15 participants with at-risk mental states with subsequent disease transition (ARMS–T group) and 18 participants without subsequent disease transition (ARMS–NT group) were compared with 75 healthy volunteers.ResultsCompared with healthy controls, ARMS–L participants had grey matter volume losses in frontotemporolimbic structures. Participants in the ARMS–E group showed bilateral temporolimbic alterations and subtle prefrontal abnormalities. Participants in the ARMS–T group had prefrontal alterations relative to those in the ARMS–NT group and in the healthy controls that overlapped with the findings in the ARMS–L group.ConclusionsBrain alterations associated with the early at-risk mental state may relate to an elevated susceptibility to psychosis, whereas alterations underlying the late at-risk mental state may indicate a subsequent transition to psychosis.

scholarly journals Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Lisa Frank ◽  
Matthias Lüpke ◽  
Draginja Kostic ◽  
Wolfgang Löscher ◽  
Andrea Tipold
Keyword(s):  
Pilot Study ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Voxel Based Morphometry ◽  
Matter Volume

Desperately seeking grey matter volume changes in sleep apnea: A methodological review of magnetic resonance brain voxel-based morphometry studies

2016 ◽  
Vol 25 ◽  
pp. 112-120 ◽  
Author(s):  
Sébastien Celle ◽  
Chantal Delon-Martin ◽  
Frédéric Roche ◽  
Jean-Claude Barthélémy ◽  
Jean-Louis Pépin ◽  
...  
Keyword(s):  
Sleep Apnea ◽  
Magnetic Resonance ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Voxel Based Morphometry ◽  
Volume Changes ◽  
Methodological Review ◽  
Matter Volume

scholarly journals Reduced Grey Matter Volume in Frontal and Temporal Areas in Depression: A Voxel Based Morphometry Study

2019 ◽  
Author(s):  
Sevdalina Kandilarova ◽  
Drozdstoy Stoyanov ◽  
Nickolay Sirakov ◽  
Michael Maes ◽  
Karsten Specht
Keyword(s):  
Bipolar Disorder ◽  
Major Depression ◽  
Mood Disorders ◽  
Grey Matter ◽  
Inferior Frontal Gyrus ◽  
Anterior Cingulate ◽  
Middle Temporal Gyrus ◽  
Grey Matter Volume ◽  
Healthy Controls ◽  
Voxel Based Morphometry

Objective: The aim of the current study was to examine whether and to what extent mood disorders, comprising major depression and bipolar disorder, are accompanied by structural changes in the brain as measured using voxel-based morphometry (VBM). Methods: We have performed a VBM study using a 3Т MRI system (GE Discovery 750w) in patients with mood disorders (n=50), namely 39 with major depression and 11 with bipolar disorder, compared to 42 age, sex and education matched healthy controls. Results: Our results show that depression was associated with significant decreases in grey matter (GM) volume restricted to regions located in medial frontal and anterior cingulate cortex on the left side and middle frontal gyrus, medial orbital gyrus, inferior frontal gyrus (triangular and orbital parts), and middle temporal gyrus (extending to the superior temporal gyrus) on the right side. When the patient group was separated into bipolar disorder and major depression the reductions remained significant only for the patients with major depressive disorder. Conclusions: Using VBM the present study was able to replicate decreases in GM volume restricted to frontal and temporal regions in patients with mood disorders mainly major depression, as compared with healthy controls.&nbsp;

scholarly journals Human brain anatomy reflects separable genetic and environmental components of socioeconomic status

2021 ◽  
Author(s):  
Hyeokmoon Kweon ◽  
Gokhan Aydogan ◽  
Alain Dagher ◽  
Danilo Bzdok ◽  
Christian C Ruff ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Grey Matter ◽  
Brain Regions ◽  
Grey Matter Volume ◽  
Brain Anatomy ◽  
Additive Effects ◽  
Common Genetic Variation ◽  
Matter Volume ◽  
Underlying Causes ◽  
The Brain

Recent studies report that socioeconomic status (SES) correlates with brain structure. Yet, such findings are variable and little is known about underlying causes. We present a well-powered voxel-based analysis of grey matter volume (GMV) across levels of SES, finding many small SES effects widely distributed across the brain, including cortical, subcortical and cerebellar regions. We also construct a polygenic index of SES to control for the additive effects of common genetic variation related to SES, which attenuates observed SES-GMV relations, to different degrees in different areas. Remaining variance, which may be attributable to environmental factors, is substantially accounted for by body mass index, a marker for lifestyle related to SES. In sum, SES affects multiple brain regions through measurable genetic and environmental effects.

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