Evidence map›Paper›PMID 30474903›Full record

ArticleHuman brain mapping2019

Track density imaging in progressive supranuclear palsy: A pilot study.

Salvatore Nigro, Maria Giovanna Bianco, Gennarina Arabia, Maurizio Morelli, Rita Nisticò, Fabiana Novellino, Maria Salsone, Antonio Augimeri, Aldo Quattrone

Abstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

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

4 citing papers in PubMed.

  1. Review
  2. Automated MRI Classification in Progressive Supranuclear Palsy: A Large International Cohort Study.Movement disorders : official journal of the Movement Disorder Society · 2020
    Article
  3. Article
  4. Article
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

9 authors.

Salvatore NigroDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.ORCID 0000-0001-7566-7983
Maria Giovanna BiancoDepartment of Health Sciences, Magna Graecia University, Catanzaro, Italy.
Gennarina ArabiaDepartment of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.
Maurizio MorelliDepartment of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.
Rita NisticòInstitute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy.
Fabiana NovellinoInstitute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy.
Maria SalsoneInstitute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy.
Antonio AugimeriBiotecnomed S.C.aR.L, Catanzaro, Italy.
Aldo QuattroneDepartment of Medical and Surgical Sciences, Institute of Neurology, Magna Graecia University, Catanzaro, Italy.ORCID 0000-0003-2001-957X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progressive supranuclear palsy (PSP) is a neurodegenerative disorder characterized by white matter (WM) changes in different supra- and infratentorial brain structures. We used track density imaging (TDI) to characterize WM microstructural alterations in patients with PSP-Richardson's Syndrome (PSP-RS). Moreover, we investigated the diagnostic utility of TDI in distinguishing patients with PSP-RS from those with Parkinson's disease and healthy controls (HC). Twenty PSP-RS patients, 21 PD patients, and 23 HC underwent a 3 T MRI diffusion-weighted (DW) imaging. Then, we combined constrained spherical deconvolution and WM probabilistic tractography to reconstruct track density maps by calculating the number of WM streamlines traversing each voxel. Voxel-wise analysis was performed to assess group differences in track density maps. A support vector machine (SVM) approach was also used to evaluate the performance of TDI for discriminating between groups. Relative to PD patients, decreases in track density in PSP-RS patients were found in brainstem, cerebellum, thalamus, corpus callosum, and corticospinal tract. Similar findings were obtained between PSP-RS patients and HC. No differences in TDI were observed between PD and HC. SVM approach based on whole-brain analysis differentiated PD patients from PSP-RS with an area under the curve (AUC) of 0.82. The AUC reached a value of 0.98 considering only the voxels belonging to the superior cerebellar peduncle. This study shows that TDI may represent a useful approach for characterizing WM alterations in PSP-RS patients. Moreover, track density decrease in PSP could be considered a new feature for the differentiation of patients with PSP-RS from those with PD.

Indexed as

AgedBrainDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedParkinson DiseasePilot ProjectsSupranuclear Palsy, ProgressiveWhite Matterprogressive supranuclear palsysuperior cerebellar pedunclesupport vector machinetrack density imagingwhite matter

Identifiers

PMID30474903
PMCPMC6865691

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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.