24
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Voxel-Wise Meta-Analysis on the Cerebellum in Essential Tremor

      review-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background and Objectives: Essential tremor is a chronic progressive neurological condition. The clinical presentation of essential tremor is heterogeneous and includes involuntary tremor on hands or arms and progressively on head, jaw, and voice. More extensive and complex symptoms may also be noticed in several patients. Many studies have been carried out to identify biomarkers to help the diagnosis, however, all the efforts have not shown any substantial results yet. Materials and Methods: Here, we aimed to perform a voxel-based meta-analysis using a dedicated cerebellar mask to clarify whether the results from the previous studies are robust and have any clinical significance. We included studies with a total of 377 essential tremor patients and 338 healthy control individuals. Results: A significant regional decrease in the volume of the gray matter was detected in the right cerebellar hemispheric lobule IV/V, and in the cerebellar vermic lobule IV/V. Conclusions: This is the first study focused on the cerebellum and using a specific cerebellar mask, which increases the sensitivity. It showed regional statistically significant changes that could not be seen in the whole-brain analysis.

          Related collections

          Most cited references40

          • Record: found
          • Abstract: found
          • Article: not found

          Consensus Statement on the classification of tremors. from the task force on tremor of the International Parkinson and Movement Disorder Society.

          Consensus criteria for classifying tremor disorders were published by the International Parkinson and Movement Disorder Society in 1998. Subsequent advances with regard to essential tremor, tremor associated with dystonia, and other monosymptomatic and indeterminate tremors make a significant revision necessary.
            • Record: found
            • Abstract: found
            • Article: not found

            Voxel-wise meta-analysis of grey matter changes in obsessive-compulsive disorder.

            Specific cortico-striato-thalamic circuits are hypothesised to mediate the symptoms of obsessive-compulsive disorder (OCD), but structural neuroimaging studies have been inconsistent. To conduct a meta-analysis of published and unpublished voxel-based morphometry studies in OCD. Twelve data-sets comprising 401 people with OCD and 376 healthy controls met inclusion criteria. A new improved voxel-based meta-analytic method, signed differential mapping (SDM), was developed to examine regions of increased and decreased grey matter volume in the OCD group v. control group. Results No between-group differences were found in global grey matter volumes. People with OCD had increased regional grey matter volumes in bilateral lenticular nuclei, extending to the caudate nuclei, as well as decreased volumes in bilateral dorsal medial frontal/anterior cingulate gyri. A descriptive analysis of quartiles, a sensitivity analysis as well as analyses of subgroups further confirmed these findings. Meta-regression analyses showed that studies that included individuals with more severe OCD were significantly more likely to report increased grey matter volumes in the basal ganglia. No effect of current antidepressant treatment was observed. Conclusions The results support a dorsal prefrontal-striatal model of the disorder and raise the question of whether functional alterations in other brain regions commonly associated with OCD, such as the orbitofrontal cortex, may reflect secondary compensatory strategies. Whether the reported differences between participants with OCD and controls precede the onset of the symptoms and whether they are specific to OCD remains to be established.
              • Record: found
              • Abstract: found
              • Article: not found

              A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps.

              Meta-analyses are essential to summarize the results of the growing number of neuroimaging studies in psychiatry, neurology and allied disciplines. Image-based meta-analyses use full image information (i.e. the statistical parametric maps) and well-established statistics, but images are rarely available making them highly unfeasible. Peak-probability meta-analyses such as activation likelihood estimation (ALE) or multilevel kernel density analysis (MKDA) are more feasible as they only need reported peak coordinates. Signed-differences methods, such as signed differential mapping (SDM) build upon the positive features of existing peak-probability methods and enable meta-analyses of studies comparing patients with controls. In this paper we present a new version of SDM, named Effect Size SDM (ES-SDM), which enables the combination of statistical parametric maps and peak coordinates and uses well-established statistics. We validated the new method by comparing the results of an ES-SDM meta-analysis of studies on the brain response to fearful faces with the results of a pooled analysis of the original individual data. The results showed that ES-SDM is a valid and reliable coordinate-based method, whose performance might be additionally increased by including statistical parametric maps. We anticipate that ES-SDM will be a helpful tool for researchers in the fields of psychiatry, neurology and allied disciplines. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Medicina (Kaunas)
                Medicina (Kaunas)
                medicina
                Medicina
                MDPI
                1010-660X
                1648-9144
                14 March 2021
                March 2021
                : 57
                : 3
                : 264
                Affiliations
                [1 ]Laboratory of Neuropathology, Electron Microscopy First Department of Neurology, Aristotle University, 54124 Thessaloniki, Greece; i.mavroudis@ 123456nhs.net (I.M.); f_petridis83@ 123456yahoo.gr (F.P.)
                [2 ]Leeds Teaching Hospitals, Leeds LS97TF, UK; jackmckenna@ 123456doctors.org.uk
                [3 ]Institute for Research of Alzheimer’s Disease, Other Neurodegenerative Diseases and Normal Aging, Heraklion Langada, 54123 Thessaloniki, Greece
                [4 ]Third Department of Neurology, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; lena.kar@ 123456outlook.com (E.K.); melina.chatzik@ 123456gmail.com (S.C.); dimitrios.kazis@ 123456gmail.com (D.K.)
                [5 ]Department of Biology, Faculty of Biology, Alexandru Ioan Cuza University, B dul Carol I, No 11, 700506 Iasi, Romania; alin.ciobica@ 123456uaic.ro
                [6 ]Center of Biomedical Research, Romanian Academy, B dul Carol I, No 8, 700506 Iasi, Romania
                [7 ]Faculty of Medicine, “Grigore T. Popa”, University of Medicine and Pharmacy, Strada Universitatii 16, 700115 Iasi, Romania; romeodobrin2002@ 123456gmail.com
                [8 ]Department of Morphological and Functional Sciences, Faculty of Medicine, Dunarea de Jos University, 800008 Galati, Romania
                Author notes
                [* ]Correspondence: authors: aliniordache@ 123456yahoo.com (A.-C.I.); dilconstantin@ 123456yahoo.com (C.T.)
                Author information
                https://orcid.org/0000-0001-9844-4010
                https://orcid.org/0000-0003-1941-0432
                Article
                medicina-57-00264
                10.3390/medicina57030264
                8000215
                33799368
                56ed5900-f1a3-4e80-ac5d-d3001a25625f
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 January 2021
                : 11 March 2021
                Categories
                Review

                essential tremor,voxel-based,meta-analysis,cerebellum
                essential tremor, voxel-based, meta-analysis, cerebellum

                Comments

                Comment on this article

                Related Documents Log