Evidence map›Paper›PMID 39554177›Full record

ArticlebioRxiv : the preprint server for biology2024

Quantifying the Impact of Hair and Skin Characteristics on Signal Quality with Practical Recommendations for Improvement.

Meryem A Yücel, Jessica E Anderson, De'Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I Kaplan, Emily J Braun, Nishaat Mukadam, Sudan Duwadi and 15 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Meryem A YücelNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-4291-2847
Jessica E AndersonNeurophotonics Center, Boston University, Boston, MA 02215, USA.
De'Ja RogersNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-5112-4324
Parisa HajirahimiNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Parya FarzamNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Yuanyuan GaoNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Rini I KaplanNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-3760-7335
Emily J BraunNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-4687-8516
Nishaat MukadamNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Sudan DuwadiNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0009-0000-5433-942X
Laura CarltonNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0009-0008-0337-686X
David BeelerNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-6914-7938
Lindsay K ButlerDepartment of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA.
Erin CarpenterNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Jaimie GirnisNeurophotonics Center, Boston University, Boston, MA 02215, USA.
John WilsonDepartment of Psychological and Brain Sciences, Boston University, Boston, MA 02215, USA.
Vaibhav TripathiNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0001-7520-4188
Yiwen ZhangNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Bettina SorgerDepartment of Cognitive Neuroscience, Maastricht University, The Netherlands.ORCID 0000-0003-1393-3144
Alexander von LühmannNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-4995-293X
David C SomersNeurophotonics Center, Boston University, Boston, MA 02215, USA.
Alice Cronin-GolombNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0001-5699-6204
Swathi KiranNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0003-1586-8913
Terry D EllisNeurophotonics Center, Boston University, Boston, MA 02215, USA.
David A BoasNeurophotonics Center, Boston University, Boston, MA 02215, USA.ORCID 0000-0002-6709-7711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional Near-Infrared Spectroscopy (fNIRS) holds transformative potential for research and clinical applications in neuroscience due to its non-invasive nature and adaptability to real-world settings. However, despite its promise, fNIRS signal quality is sensitive to individual differences in biophysical factors such as hair and skin characteristics, which can significantly impact the absorption and scattering of near-infrared light. If not properly addressed, these factors risk biasing fNIRS research by disproportionately affecting signal quality across diverse populations. Our results quantify the impact of various hair properties, skin pigmentation as well as head size, sex and age on signal quality, providing quantitative guidance for future hardware advances and methodological standards to help overcome these critical barriers to inclusivity in fNIRS studies. We provide actionable guidelines for fNIRS researchers, including a suggested metadata table and recommendations for cap and optode configurations, hair management techniques, and strategies to optimize data collection across varied participants. This research paves the way for the development of more inclusive fNIRS technologies, fostering broader applicability and improved interpretability of neuroimaging data in diverse populations.

Indexed as

Functional Near-Infrared Spectroscopyhair characteristicsinclusivitysignal qualityskin pigmentation

Identifiers

PMID39554177
PMCPMC11565806

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.