scholarly journals Grey matter volume changes and corresponding cellular metrics identified in a longitudinalin vivoimaging approach

2019 ◽  
Author(s):  
Livia Asan ◽  
Claudia Falfan-Melgoza ◽  
Wolfgang Weber-Fahr ◽  
Carlo Beretta ◽  
Thomas Kuner ◽  
...  
Keyword(s):  
Grey Matter ◽  
Structural Changes ◽  
Structural Parameters ◽  
Grey Matter Volume ◽  
Nearest Neighbour ◽  
Cell Nuclei ◽  
Volume Changes ◽  
Neighbour Distance ◽  
Matter Volume ◽  
Physical Volume

AbstractMagnetic resonance imaging (MRI) of the brain combined with voxel-based morphometry (VBM) has revealed structural changes of grey and white matter in a range of neurological and psychiatric disorders. However, the cellular basis of volume changes observed with VBM has remained unclear. We devised an approach to systematically correlate changes in grey matter volume (GMV) with cellular composition. Mice were alternately examined with structural MRI and two-photonin vivomicroscopy at three time points, taking advantage of age-dependent changes in brain structure. We chose to image fluorescently labelled cell nuclei, because these can be readily imaged in large tissue volumes and allow inferences on several structural parameters: (1) the physical volume as determined from a subset of nuclei used to generate a geometrically defined space, (2) the number of cells, (3) the nearest neighbour distance measured between all nuclei as an indicator of cell clustering, and (4) the volume of the cell nuclei. Using this approach, we found that physical volume did not significantly correlate with GMV change, whereas mean nuclear volume was inversely correlated. When focusing on layers within the imaging volume, positive correlations of GMV were found with cell number near the cortical surface and nearest neighbour distance in deeper layers. Thus, the novel approach introduced here provided new insights into the factors underlying grey matter volume changes.

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

Reproducibility of hormone-driven regional grey matter volume changes in women using SPM8 and SPM12

2016 ◽  
Vol 221 (9) ◽  
pp. 4631-4641 ◽  
Author(s):  
Timo De Bondt ◽  
Pim Pullens ◽  
Wim Van Hecke ◽  
Yves Jacquemyn ◽  
Paul M. Parizel
Keyword(s):  
Grey Matter ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume

Absence of localized grey matter volume changes in the motor cortex following spinal cord injury

2004 ◽  
Vol 1028 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Adrian Philip Crawley ◽  
Michael Todd Jurkiewicz ◽  
Annabella Yim ◽  
Sujiva Heyn ◽  
Mary Caroline Verrier ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Motor Cortex ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume ◽  
Cord Injury

P2-414: GREY MATTER VOLUME CHANGES IN YOUNG POSTMENOPAUSAL WOMEN WITH SUBJECTIVE COGNITIVE DECLINE AFTER ESTROGEN TREATMENT

2006 ◽  
Vol 14 (7S_Part_16) ◽  
pp. P866-P867
Author(s):  
Shin-Gyeom Kim ◽  
Alexander C. Conley ◽  
Kimberly Albert ◽  
Julie Dumas ◽  
Paul A. Newhouse
Keyword(s):  
Cognitive Decline ◽  
Postmenopausal Women ◽  
Grey Matter ◽  
Estrogen Treatment ◽  
Subjective Cognitive Decline ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume

Thalamic Grey Matter Volume Changes After Sleep Deprivation in Rats

2021 ◽  
Author(s):  
Sriji Somanath ◽  
Akira Sumiyoshi ◽  
S. Senthil Kumaran ◽  
Binney Sharma ◽  
Hruda Nanda Mallick
Keyword(s):  
Sleep Deprivation ◽  
Grey Matter ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume

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

2020 ◽  
Vol 32 (3-4) ◽  
pp. 359-366
Author(s):  
Antonija Ruzic Barsic ◽  
◽  
Gordana Rubesa ◽  
Diana Mance ◽  
Damir Miletic ◽  
...  
Keyword(s):  
Grey Matter ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume

scholarly journals Tracking tDCS induced grey matter changes in episodic migraine: a randomized controlled trial

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Simon Schading ◽  
Heiko Pohl ◽  
Andreas Gantenbein ◽  
Roger Luechinger ◽  
Peter Sandor ◽  
...  
Keyword(s):  
Grey Matter ◽  
Controlled Trial ◽  
Pain Modulation ◽  
Controlled Study ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume ◽  
Link Type ◽  
Lingual Gyrus ◽  
Episodic Migraineurs

Abstract Background Occipital transcranial direct current stimulation (tDCS) is an effective and safe treatment for migraine attack prevention. Structural brain alterations have been found in migraineurs in regions related to pain modulation and perception, including occipital areas. However, whether these structural alterations can be dynamically modulated through tDCS treatment is understudied. Objective To track longitudinally grey matter volume changes in occipital areas in episodic migraineurs during and up to five months after occipital tDCS treatment in a single-blind, and sham-controlled study. Methods 24 episodic migraineurs were randomized to either receive verum or sham occipital tDCS treatment for 28 days. To investigate dynamic grey matter volume changes patients underwent structural MRI at baseline (prior to treatment), 1.5 months and 5.5 months (after completion of treatment). 31 healthy controls were scanned with the same MRI protocol. Morphometry measures assessed rate of changes over time and between groups by means of tensor-based morphometry. Results Before treatment, migraineurs reported 5.6 monthly migraine days on average. A cross-sectional analysis revealed grey matter volume increases in the left lingual gyrus in migraineurs compared to controls. Four weeks of tDCS application led to a reduction of 1.9 migraine days/month and was paralleled by grey matter volume decreases in the left lingual gyrus in the treatment group; its extent overlapping with that seen at baseline. Conclusion This study shows that migraineurs have increased grey matter volume in the lingual gyrus, which can be modified by tDCS. Tracking structural plasticity in migraineurs provides a potential neuroimaging biomarker for treatment monitoring. Trial registration ClinicalTrials.gov, NCT03237754. Registered 03 August 2017 – retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03237754.

scholarly journals Network Constraints on Longitudinal Grey Matter Changes in First Episode Psychosis

2022 ◽  
Author(s):  
Sidhant Chopra ◽  
Stuart Oldham ◽  
Ashlea Segal ◽  
Alexander Holmes ◽  
Kristina Sabaroedin ◽  
...  
Keyword(s):  
Volume Change ◽  
Grey Matter ◽  
Structural Connectivity ◽  
First Episode Psychosis ◽  
First Episode ◽  
Control Group ◽  
Grey Matter Volume ◽  
Volume Changes ◽  
Matter Volume ◽  
Episode Psychosis

Background: Different regions of the brain's grey matter are connected by a complex structural network of white matter fibres which are responsible for the propagation of action potentials and the transport of trophic and other molecules. In neurodegenerative disease, these connections constrain the way in which grey matter volume loss progresses. Here, we investigated whether connectome architecture also shapes the spatial pattern of longitudinal grey matter volume changes attributable to illness and antipsychotic medication in first episode psychosis (FEP). Methods: We conducted a triple-blind randomised placebo-control MRI study where 62 young adults with first episode psychosis received either an atypical antipsychotic or placebo over 6-months. A healthy control group was also recruited. Anatomical MRI scans were acquired at baseline, 3-months and 12-months. Deformation-based morphometry was used to estimate illness-related and antipsychotic-related grey matter volume changes over time. Representative functional and structural brain connectivity patterns were derived from an independent healthy control group using resting-state functional MRI and diffusion-weighted imaging. We used neighbourhood deformation models to predict the extent of brain change in a given area by the changes observed in areas to which it is either structurally connected or functionally coupled. Results: At baseline, we found that empirical illness-related regional volume differences were strongly correlated with predicted differences using a model constrained by structural connectivity weights (ρ = .541; p < .001). At 3-months and 12-months, we also found a strong correlation between longitudinal regional illness-related (ρ > .516; p < .001) and antipsychotic-related volume change (ρ > .591; p < .001) with volumetric changes in structurally connected areas. These correlations were significantly greater than those observed across various null models accounting for lower-order spatial and network properties of the data. Associations between empirical and predicted volume change estimates were much lower for models that only considered binary structural connectivity (all ρ < .376), or which were constrained by inter-regional functional coupling (all ρ < .436). Finally, we found that potential epicentres of volume change emerged posteriorly early in the illness and shifted to the prefrontal cortex by later illness stages. Conclusion: Psychosis- and antipsychotic-related grey matter volume changes are strongly shaped by anatomical brain connectivity. This result is consistent with findings in other neurological disorders and implies that such connections may constrain pathological processes causing brain dysfunction in FEP.

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