Evidence map›Paper›PMID 32747671›Full record

ArticleScientific reports2020

Normalized power variance of eLORETA at high-convexity area predicts shunt response in idiopathic normal pressure hydrocephalus.

Yasunori Aoki, Hiroaki Kazui, Ricardo Bruña, Roberto D Pascual-Marqui, Kenji Yoshiyama, Tamiki Wada, Hideki Kanemoto, Yukiko Suzuki, Takashi Suehiro, Takuya Matsumoto and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 45% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
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

16 authors at 4 institutions in 2 countries.

Yasunori AokiDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan. mi_kotoginn@yahoo.co.jp.
Hiroaki KazuiDepartment of Neuropsychiatry, Kochi University, Kochi, Japan.
Ricardo BruñaUCM-UPM Centre for Biomedical Technology, Department of Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain.
Roberto D Pascual-MarquiThe KEY Institute for Brain-Mind Research, University Hospital of Psychiatry, Zurich, Switzerland.
Kenji YoshiyamaDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Tamiki WadaDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Hideki KanemotoDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Yukiko SuzukiDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Takashi SuehiroDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Takuya MatsumotoDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Kyosuke KakedaDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Masahiro HataDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Leonides CanuetDepartment of Clinical Psychology and Psychobiology, La Laguna University, Tenerife, Spain.
Ryouhei IshiiDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Masao IwaseDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Manabu IkedaDepartment of Psychiatry, Graduate School of Medicine, Osaka University, D3 2-2 Yamada-oka, Suita, Osaka, 565-0871, Japan.
Osaka University · JPKōchi University · JPUniversidad Complutense de Madrid · ESUniversidad de La Laguna · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Idiopathic normal pressure hydrocephalus (iNPH) is a neuropsychiatric disease characterized by gait disturbance, cognitive deterioration and urinary incontinence associated with excessive accumulation of cerebrospinal fluid (CSF) in the brain ventricles. These symptoms, in particular gait disturbance, can be potentially improved by shunt operation in the early stage of the disease, and the intervention associates with a worse outcome when performed late during the course of the disease. Despite the variable outcome of shunt operation, noninvasive presurgical prediction methods of shunt response have not been established yet. In the present study, we used normalized power variance (NPV), a sensitive measure of the instability of cortical electrical activity, to analyze cortical electrical activity derived from EEG data using exact-low-resolution-electromagnetic-tomography (eLORETA) in 15 shunt responders and 19 non-responders. We found that shunt responders showed significantly higher NPV values at high-convexity areas in beta frequency band than non-responders. In addition, using this difference, we could discriminate shunt responders from non-responders with leave-one-subject-out cross-validation accuracy of 67.6% (23/34) [positive predictive value of 61.1% (11/18) and negative predictive value of 75.0% (12/16)]. Our findings indicate that eLORETA-NPV can be a useful tool for noninvasive prediction of clinical response to shunt operation in patients with iNPH.

Indexed as

Cerebrospinal Fluid ShuntsElectrophysiological PhenomenaAgedCognitionElectroencephalographyFemaleGaitHumansHydrocephalus, Normal PressureMale

Identifiers

PMID32747671
PMCPMC7400757
OpenAlexW3046460779

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.