Cargando…
Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data
A sequential transaxonal disease spread of amyotrophic lateral sclerosis (ALS)-associated TDP-43 pathology in four stages has been defined by post-mortem data, which have been transferred to in vivo imaging by diffusion tensor imaging (DTI) studies. Here, we aimed to investigate whether DTI meta-dat...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194130/ https://www.ncbi.nlm.nih.gov/pubmed/30337677 http://dx.doi.org/10.1038/s41598-018-33830-z |
_version_ | 1783364174580023296 |
---|---|
author | Gorges, Martin Del Tredici, Kelly Dreyhaupt, Jens Braak, Heiko Ludolph, Albert C. Müller, Hans-Peter Kassubek, Jan |
author_facet | Gorges, Martin Del Tredici, Kelly Dreyhaupt, Jens Braak, Heiko Ludolph, Albert C. Müller, Hans-Peter Kassubek, Jan |
author_sort | Gorges, Martin |
collection | PubMed |
description | A sequential transaxonal disease spread of amyotrophic lateral sclerosis (ALS)-associated TDP-43 pathology in four stages has been defined by post-mortem data, which have been transferred to in vivo imaging by diffusion tensor imaging (DTI) studies. Here, we aimed to investigate whether DTI meta-data are consistent with this proposed pattern of progression in ALS. A systematic literature search using the search engines PubMed and Scopus yielded a total of 370 publications. Of these, 57 studies with cross-sectional data and 10 longitudinal studies of human whole-brain analyses of fractional anisotropy (FA) were included in the final data analysis. Statistical meta-analyses on coordinates of significant FA alterations were performed on a grand average alteration data set using a fixed-effect model. A widespread pattern of white matter impairment was identified from cross-sectional meta data (n = 2064 ALS patients vs. n = 1688 controls) and supported from longitudinal meta data (n = 266 ALS patients over 8 months). The results from cross-sectional meta-analyses corresponded to the brain regions and tract systems according to the sequential disease spread of ALS. Structural alterations in ALS patients vs. controls followed a power gradient, i.e., the most frequent alterations were observed along the corticospinal tract (CST, related to ALS stage 1), followed by frequent alterations along the corticorubral/-pontine tract (related to ALS stage 2), together with corticostriatal pathways (related to ALS stage 3), and, finally, alterations in the hippocampal regions adjacent to the proximal portion of the perforant path (related to ALS stage 4). The results from the DTI-based neuroimaging meta-analysis strongly support the model of the corticoefferent axonal disease progression in ALS and provides further in vivo evidence for the proposed staging scheme of ALS-associated pathology. |
format | Online Article Text |
id | pubmed-6194130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61941302018-10-24 Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data Gorges, Martin Del Tredici, Kelly Dreyhaupt, Jens Braak, Heiko Ludolph, Albert C. Müller, Hans-Peter Kassubek, Jan Sci Rep Article A sequential transaxonal disease spread of amyotrophic lateral sclerosis (ALS)-associated TDP-43 pathology in four stages has been defined by post-mortem data, which have been transferred to in vivo imaging by diffusion tensor imaging (DTI) studies. Here, we aimed to investigate whether DTI meta-data are consistent with this proposed pattern of progression in ALS. A systematic literature search using the search engines PubMed and Scopus yielded a total of 370 publications. Of these, 57 studies with cross-sectional data and 10 longitudinal studies of human whole-brain analyses of fractional anisotropy (FA) were included in the final data analysis. Statistical meta-analyses on coordinates of significant FA alterations were performed on a grand average alteration data set using a fixed-effect model. A widespread pattern of white matter impairment was identified from cross-sectional meta data (n = 2064 ALS patients vs. n = 1688 controls) and supported from longitudinal meta data (n = 266 ALS patients over 8 months). The results from cross-sectional meta-analyses corresponded to the brain regions and tract systems according to the sequential disease spread of ALS. Structural alterations in ALS patients vs. controls followed a power gradient, i.e., the most frequent alterations were observed along the corticospinal tract (CST, related to ALS stage 1), followed by frequent alterations along the corticorubral/-pontine tract (related to ALS stage 2), together with corticostriatal pathways (related to ALS stage 3), and, finally, alterations in the hippocampal regions adjacent to the proximal portion of the perforant path (related to ALS stage 4). The results from the DTI-based neuroimaging meta-analysis strongly support the model of the corticoefferent axonal disease progression in ALS and provides further in vivo evidence for the proposed staging scheme of ALS-associated pathology. Nature Publishing Group UK 2018-10-18 /pmc/articles/PMC6194130/ /pubmed/30337677 http://dx.doi.org/10.1038/s41598-018-33830-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gorges, Martin Del Tredici, Kelly Dreyhaupt, Jens Braak, Heiko Ludolph, Albert C. Müller, Hans-Peter Kassubek, Jan Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title | Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title_full | Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title_fullStr | Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title_full_unstemmed | Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title_short | Corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
title_sort | corticoefferent pathology distribution in amyotrophic lateral sclerosis: in vivo evidence from a meta-analysis of diffusion tensor imaging data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194130/ https://www.ncbi.nlm.nih.gov/pubmed/30337677 http://dx.doi.org/10.1038/s41598-018-33830-z |
work_keys_str_mv | AT gorgesmartin corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT deltredicikelly corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT dreyhauptjens corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT braakheiko corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT ludolphalbertc corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT mullerhanspeter corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata AT kassubekjan corticoefferentpathologydistributioninamyotrophiclateralsclerosisinvivoevidencefromametaanalysisofdiffusiontensorimagingdata |