Evidence map›Paper›PMID 31205489›Full record

ArticleTherapeutic advances in neurological disorders2019

Structural brain signature of cognitive decline in Parkinson's disease: DTI-based evidence from the LANDSCAPE study.

Martin Gorges, Hans-Peter Müller, Inga Liepelt-Scarfone, Alexander Storch, Richard Dodel, LANDSCAPE Consortium, Rüdiger Hilker-Roggendorf, Daniela Berg, Martin S Kunz, Elke Kalbe and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Therapeutic advances in neurological disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05227820 (Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias), which is not on this map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT05227820 phase2completednot on this mapstarted 2022, after this paper: background citation

Anti-Inflammatory, Insulin-Sensitizing Agent for Treatment of Cognitive Decline Due to Degenerative Dementias

TypeinterventionalSponsorNeurological Associates of West Los AngelesRan2022 to 2022Enrolled23ConditionsAlzheimer DiseaseArmsNE3107
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. Cognitive Training in Parkinson's Disease Induces Local, Not Global, Changes in White Matter Microstructure.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
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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

12 authors.

Martin GorgesDepartment of Neurology, University of Ulm, Ulm, Germany.
Hans-Peter MüllerDepartment of Neurology, University of Ulm, Ulm, Germany.
Inga Liepelt-ScarfoneGerman Center of Neurodegenerative Diseases and Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Alexander StorchDepartment of Neurology, University of Rostock, Rostock, Germany.
Richard DodelDepartment of Neurology, Philipps University Marburg, Marburg, Germany.
LANDSCAPE Consortium
Rüdiger Hilker-RoggendorfKlinik für Neurologie und Klinische Neurophysiologie, Klinikum Vest, Knappschaftskrankenhaus Recklinghausen, Recklinghausen, Germany.
Daniela BergGerman Center of Neurodegenerative Diseases and Hertie Institute for Clinical Brain Research, Tübingen, Germany.
Martin S KunzDepartment of Neurology, University of Ulm, Ulm, Germany.
Elke KalbeMedical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne, Cologne, Germany.
Simon BaudrexelDepartment of Neurology, J.W. Goethe University, Frankfurt/Main, Germany.
Jan KassubekDepartment of Neurology, University of Ulm, RKU, Oberer Eselsberg 45, Ulm 89081, Germany.ORCID https://orcid.org/0000-0002-7106-9270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe nonmotor symptom spectrum of Parkinson's disease (PD) includes progressive cognitive decline mainly in late stages of the disease. The aim of this study was to map the patterns of altered structural connectivity of patients with PD with different cognitive profiles ranging from cognitively unimpaired to PD-associated dementia.

methodsDiffusion tensor imaging and neuropsychological data from the observational multicentre LANDSCAPE study were analyzed. A total of 134 patients with PD with normal cognitive function (56 PD-N), mild cognitive impairment (67 PD-MCI), and dementia (11 PD-D) as well as 72 healthy controls were subjected to whole-brain-based fractional anisotropy mapping and covariance analysis with cognitive performance measures.

resultsStructural data indicated subtle changes in the corpus callosum and thalamic radiation in PD-N, whereas severe white matter impairment was observed in both PD-MCI and PD-D patients including anterior and inferior fronto-occipital, uncinate, insular cortices, superior longitudinal fasciculi, corona radiata, and the body of the corpus callosum. These regional alterations were demonstrated for PD-MCI and were more pronounced in PD-D. The pattern of involved regions was significantly correlated with the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) total score.

conclusionsThe findings in PD-N suggest impaired cross-hemispherical white matter connectivity that can apparently be compensated for. More pronounced involvement of the corpus callosum as demonstrated for PD-MCI together with affection of fronto-parieto-temporal structural connectivity seems to lead to gradual disruption of cognition-related cortico-cortical networks and to be associated with the onset of overt cognitive deficits. The increase of regional white matter damage appears to be associated with the development of PD-associated dementia.

Indexed as

dementiadiffusion tensor imagingmagnetic resonance imagingmild cognitive impairment

Identifiers

PMID31205489
PMCPMC6535714

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Registered trials

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.