Evidence map›Paper›PMID 32547360›Full record

ArticleFrontiers in neuroscience2020

A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study.

Debanjali Bhattacharya, Neelam Sinha, Shweta Prasad, Pramod Kumar Pal, Jitender Saini, Sandhya Mangalore

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Progressive Supranuclear Palsy in India: Past, Present, and Future.Annals of Indian Academy of Neurology · 2025
    Article
  2. 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

6 authors at 2 institutions in 1 country.

Debanjali BhattacharyaDepartment of Networking and Communication, International Institute of Information Technology, Bangalore, India.
Neelam SinhaDepartment of Networking and Communication, International Institute of Information Technology, Bangalore, India.
Shweta PrasadDepartment of Neurology, National Institute of Mental Health and Neuroscience, Bangalore, India.
Pramod Kumar PalDepartment of Neurology, National Institute of Mental Health and Neuroscience, Bangalore, India.
Jitender SainiDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neuroscience, Bangalore, India.
Sandhya MangaloreDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neuroscience, Bangalore, India.
National Institute of Mental Health and Neurosciences · INInternational Institute of Information Technology Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study is conducted to identify the best corpus callosum (CC) sub-region that corresponds to highest callosal tissue alteration occurred due to Parkinsonism. In this regard the efficacy of local binary pattern (LBP) based texture analysis (TA) of CC is performed to quantify the changes in topographical distribution of callosal fiber connected to different regions of cortex. The extent of highest texture alteration in CC is used for differential diagnosis. MATERIALS AND

methodsStudy included subjects with Parkinson's disease (PD) (

resultsHighest alteration of texture is observed in mid-body of CC. The consistency of this finding is quantified using SI for all subjects in a specific class that results more localized textural changes in PSP (15%) and MSA (25%), in comparison to PD (47%). Classification among disease groups results maximum classification accuracy of 90% in classifying PSP from PD-NC.

conclusionOur result demonstrates the efficacy of proposed methodology in analyzing tissue alteration in MRI of Parkinsonian disorders and thus has potential to become valuable tool in computer aided differential diagnosis.

Indexed as

corpus callosumlocal binary patternParkinsonian disordersscatter indexsupport vector machine

Identifiers

PMID32547360
PMCPMC7271664
OpenAlexW3029454007

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.