Evidence map›Paper›PMID 29877094›Full record

ArticleBrain connectivity2018

Alteration of Diffusion-Tensor Magnetic Resonance Imaging Measures in Brain Regions Involved in Early Stages of Parkinson's Disease.

Nan-Kuei Chen, Ying-Hui Chou, Mark Sundman, Patrick Hickey, Willard S Kasoff, Adam Bernstein, Theodore P Trouard, Tanya Lin, Steven Z Rapcsak, Scott J Sherman and 1 more

Abstract read
In one paragraph

Article in Brain connectivity, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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 4 institutions in 1 country.

Nan-Kuei Chen1 Department of Biomedical Engineering, University of Arizona , Tucson, Arizona.
Ying-Hui Chou3 Arizona Center on Aging, University of Arizona , Tucson, Arizona.
Mark Sundman7 Department of Psychology, University of Arizona , Tucson, Arizona.
Patrick Hickey9 Department of Neurology, Kaiser Permanente, Los Angeles, California.
Willard S Kasoff10 Division of Neurosurgery, Department of Surgery, University of Arizona , Tucson, Arizona.
Adam Bernstein1 Department of Biomedical Engineering, University of Arizona , Tucson, Arizona.
Theodore P Trouard1 Department of Biomedical Engineering, University of Arizona , Tucson, Arizona.
Tanya Lin11 Department of Neurology, University of Arizona , Tucson, Arizona.
Steven Z Rapcsak11 Department of Neurology, University of Arizona , Tucson, Arizona.
Scott J Sherman11 Department of Neurology, University of Arizona , Tucson, Arizona.
Carol P Weingarten4 Brain Imaging and Analysis Center, Duke University Medical Center , Durham, North Carolina.
University of Arizona · USDuke Medical Center · USBanner - University Medical Center Tucson · USKaiser Permanente · US

Funding

Development of High-Speed and Quantitative Neuro MRI Technologies for Challenging Patient PopulationsR01NS102220 · NINDS · UNIVERSITY OF ARIZONA · PI CHEN, NAN-KUEI · 2018 to 2022
$2.1M
Imaging of Intrinsic Connectivity NetworksR01NS074045 · NINDS · DUKE UNIVERSITY · PI CHEN, NAN-KUEI · 2011 to 2015
$1.5M
Motion-immune neuro and body MRI for challenging patient populationsR21EB018419 · NIBIB · DUKE UNIVERSITY · PI CHEN, NAN-KUEI · 2014 to 2015
$435k
NIBIB NIH HHS R21 EB018419NINDS NIH HHS R01 NS074045NINDS NIH HHS R01 NS102220
6 · The paper itself

Abstract

Many nonmotor symptoms (e.g., hyposmia) appear years before the cardinal motor features of Parkinson's disease (PD). It is thus desirable to be able to use noninvasive brain imaging methods, such as magnetic resonance imaging (MRI), to detect brain abnormalities in early PD stages. Among the MRI modalities, diffusion-tensor imaging (DTI) is suitable for detecting changes in brain tissue structure due to neurological diseases. The main purpose of this study was to investigate whether DTI signals measured from brain regions involved in early stages of PD differ from those of healthy controls. To answer this question, we analyzed whole-brain DTI data of 30 early-stage PD patients and 30 controls using improved region of interest-based analysis methods. Results showed that (i) the fractional anisotropy (FA) values in the olfactory tract (connected with the olfactory bulb: one of the first structures affected by PD) are lower in PD patients than healthy controls; (ii) FA values are higher in PD patients than healthy controls in the following brain regions: corticospinal tract, cingulum (near hippocampus), and superior longitudinal fasciculus (temporal part). Experimental results suggest that the tissue property, measured by FA, in olfactory regions is structurally modulated by PD with a mechanism that is different from other brain regions.

Indexed as

Brain MappingAdultAgedAged, 80 and overAnisotropyBrainDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedParkinson Diseasediffusion-tensor imagingolfactory tractParkinson's disease

Identifiers

PMID29877094
PMCPMC6103245
OpenAlexW2806774198

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.