Evidence map›Paper›PMID 39193445›Full record

ArticleNeurophotonics2024

ninjaCap: a fully customizable and 3D printable headgear for functional near-infrared spectroscopy and electroencephalography brain imaging.

Alexander von Lühmann, Sreekanth Kura, Walker Joseph O'Brien, Bernhard B Zimmermann, Sudan Duwadi, De'Ja Rogers, Jessica E Anderson, Parya Farzam, Cameron Snow, Anderson Chen and 3 more

Abstract read
In one paragraph

Article in Neurophotonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  13. Validation of the Linearity in Image Reconstruction Methods for Speckle Contrast Optical Tomography.IEEE journal of selected topics in quantum electronics : a publication of the IEEE Lasers and Electro-optics Society
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Alexander von LühmannBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-4995-293X
Sreekanth KuraBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Walker Joseph O'BrienBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Bernhard B ZimmermannBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Sudan DuwadiBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0009-0000-5433-942X
De'Ja RogersBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-5112-4324
Jessica E AndersonBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-4549-8717
Parya FarzamBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Cameron SnowBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
Anderson ChenBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0001-6110-5285
Meryem A YücelBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-4291-2847
Nathan PerkinsBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.
David A BoasBoston University, Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States.ORCID https://orcid.org/0000-0002-6709-7711

Funding

The Neuroscience of Everyday World- A novel wearable system for continuous measurement of brain functionU01EB029856 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI BOAS, DAVID A, KIRAN, SWATHI · 2020 to 2024
$6.5M
NIBIB NIH HHS U01 EB029856
6 · The paper itself

Abstract

Accurate sensor placement is vital for non-invasive brain imaging, particularly for functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT), which lack standardized layouts such as those in electroencephalography (EEG). Custom, manually prepared probe layouts on textile caps are often imprecise and labor intensive. We introduce a method for creating personalized, 3D-printed headgear, enabling the accurate translation of 3D brain coordinates to 2D printable panels for custom fNIRS and EEG sensor layouts while reducing costs and manual labor. Our approach uses atlas-based or subject-specific head models and a spring-relaxation algorithm for flattening 3D coordinates onto 2D panels, using 10-5 EEG coordinates for reference. This process ensures geometrical fidelity, crucial for accurate probe placement. Probe geometries and holder types are customizable and printed directly on the cap, making the approach agnostic to instrument manufacturers and probe types. Our ninjaCap method offers

Indexed as

3D printcapcustomDOTfNIRSheadgearhead modeloptodesTPU

Identifiers

PMID39193445
PMCPMC11348010

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.