Evidence map›Paper›PMID 26159103›Full record

ArticleJournal of neurology2015

Structural hallmarks of amyotrophic lateral sclerosis progression revealed by probabilistic fiber tractography.

Robert Steinbach, Kristian Loewe, Joern Kaufmann, Judith Machts, Katja Kollewe, Susanne Petri, Reinhard Dengler, Hans-Jochen Heinze, Stefan Vielhaber, Mircea Ariel Schoenfeld and 1 more

Abstract read
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In one paragraph

Article in Journal of neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Robert SteinbachDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany. robert.steinbach@st.ovgu.de.
Kristian LoeweDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Joern KaufmannDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Judith MachtsDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Katja KolleweDepartment of Neurology, Medical School Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Susanne PetriDepartment of Neurology, Medical School Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Reinhard DenglerDepartment of Neurology, Medical School Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Hans-Jochen HeinzeDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Stefan VielhaberDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Mircea Ariel SchoenfeldDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany.
Christian Michael StoppelDepartment of Neurology, Otto-von-Guericke-University, Leipziger Str. 44, 39120, Magdeburg, Germany. christian.stoppel@charite.de.
Otto-von-Guericke University Magdeburg · DEMedizinische Hochschule Hannover · DELeibniz Institute for Neurobiology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by progressive limb and/or bulbar muscular weakness and atrophy. Although ALS-related alterations of motor and extra-motor neuronal networks have repeatedly been reported, their temporal dynamics during disease progression are not well understood. Recently, we reported a decline of motor system activity and a concurrent increase of hippocampal novelty-evoked modulations across 3 months of ALS progression. To address whether these functional changes are associated with structural ones, the current study employed probabilistic fiber tractography on diffusion tensor imaging (DTI) data using a longitudinal design. Therein, motor network integrity was assessed by DTI-based tracking of the intracranial corticospinal tract, while connectivity estimates of occipito-temporal tracts (between visual and entorhinal, perirhinal or parahippocampal cortices) served to assess structural changes that could be related to the increased novelty-evoked hippocampal activity across time described previously. Complementing these previous functional observations, the current data revealed an ALS-related decrease in corticospinal tract structural connectivity compared to controls, while in contrast, visuo-perirhinal connectivity was relatively increased in the patient group. Importantly, beyond these between-group differences, a rise in the patients' occipito-temporal tract strengths occurred across a 3-month interval, while at the same time no changes in corticospinal tract connectivity were observed. In line with previously identified functional alterations, the dynamics of these structural changes suggest that the affection of motor- and memory-related networks in ALS emerges at distinct disease stages: while motor network degeneration starts primarily during early (supposedly pre-symptomatic) phases, the hippocampal/medial temporal lobe dysfunctions arise at later stages of the disease.

Indexed as

Disease ProgressionAdultAgedAmyotrophic Lateral SclerosisDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMaleMiddle AgedNerve Fibers, MyelinatedPyramidal TractsAmyotrophic lateral sclerosisCorticospinal tractLongitudinal DTIMedial temporal lobeProbabilistic fiber tractography

Identifiers

PMID26159103
OpenAlexW1761557926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.