Evidence map›Paper›PMID 32070987›Full record

ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2020

Effects of Processing Methods on fNIRS Signals Assessed During Active Walking Tasks in Older Adults.

Meltem Izzetoglu, Roee Holtzer

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 57 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Evaluation of Neural, Systemic and Extracerebral Activations During Active Walking Tasks in Older Adults Using fNIRS.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  8. Article
  9. Brain hemodynamic responses and fall prediction in older adults with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024
    Article
  10. Article
  11. Article
  12. The impact of music making on neural efficiency & dual-task walking performance in healthy older adults.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2023
    Article
  20. 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

2 authors at 2 institutions in 1 country.

Meltem Izzetoglu
Roee Holtzer
Albert Einstein College of Medicine · USVillanova University · US

Funding

Biological and neural mechanisms of fallsR01AG044007 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERGHESE, JOE · 2013 to 2017
$3.5M
Brain Predictors of Mobility and Falls in Older Adults with Multiple SclerosisR01NS109023 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI HOLTZER, ROEE · 2019 to 2023
$3.4M
Central Control of Mobility in AgingR01AG036921 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HOLTZER, ROEE · 2011 to 2015
$3.3M
NIA NIH HHS R01 AG036921NIA NIH HHS R01 AG044007NINDS NIH HHS R01 NS109023
6 · The paper itself

Abstract

Functional near infrared spectroscopy (fNIRS) is a noninvasive optics-based neuroimaging modality successfully applied to real-life settings. The technology uses light in the near infrared range (650-950nm) to track changes in oxygenated (HbO2) and deoxygenated hemoglobin (Hb) obtained from measured light intensity using light-tissue interaction principles. fNIRS data processing involves artifact removal and hemodynamic signal conversion using modified Beer-Lambert law (MBLL) to obtain Hb and HbO2, reliably. fNIRS signals can get contaminated by various noise sources of physiological and non-physiological origins. Various algorithms have been proposed for the elimination of artifacts from frequency selective filters to blind source separation methods. Hemodynamic signal extraction using raw intensity measurements at multiple wavelengths based on MBLL usually involves apriori knowledge of certain conversion parameters such as molar extinction coefficients ( ε ) and differential path length factor (DPF). Different sets of conversion parameters dependent upon wavelength, chromophores, and age have been reported. Variation in processing algorithms and parameters can cause differences in Hb and HbO2 extraction which can in turn change study outcomes. Using fNIRS, we have previously shown significant increases in oxygenation in the prefrontal cortex from Single-Task-Walking (STW) to Dual-task-Walking (DTW) conditions in older adults due to greater cognitive demands inherent in the latter condition. In the current study, we re-analyzed our data and determined that although using different conversion parameters i.e. ε and age dependent DPF and filter cut-off frequencies at 0.14 and 0.08Hz including those designed to remove confounding effects of Mayer waves had caused some linear increases or decreases on the extracted Hb and HbO2 signals, those effects were minimal in task related comparisons and hence, the overall study outcomes.

Indexed as

Spectroscopy, Near-InfraredWalkingAgedHumansNeuroimagingOxyhemoglobinsPrefrontal CortexOxyhemoglobins

Identifiers

PMID32070987
PMCPMC7768789
OpenAlexW3006371779

What OpenQuestion holds

Textmetadata
LicenceTDM
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.