Evidence map›Paper›PMID 38496598›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Flexible-circuit-based 3-D aware modular optical brain imaging system for high-density measurements in natural settings.

Edward Xu, Morris Vanegas, Miguel Mireles, Artem Dementyev, Meryem Yucel, Stefan Carp, Qianqian Fang

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Edward XuNortheastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115.ORCID 0000-0003-3658-4258
Morris VanegasNortheastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115.ORCID 0000-0002-1386-3871
Miguel MirelesNortheastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115.ORCID 0000-0002-6579-3844
Artem DementyevMassachusetts Institute of Technology, Media Lab, 77 Massachusetts Avenue, Cambridge, USA, 02139.ORCID 0009-0001-2826-1099
Meryem YucelBoston University, Neurophotonics Center, 233 Bay State Road, Boston, USA, 02215.ORCID 0000-0002-4291-2847
Stefan CarpMassachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St, Boston, USA, 02129.ORCID 0000-0003-4617-3233
Qianqian FangNortheastern University, Department of Bioengineering, 360 Huntington Avenue, Boston, USA, 02115.ORCID 0000-0003-0805-935X
Boston University · USMassachusetts Institute of Technology · US

Funding

Next-generation Monte Carlo eXtreme Light Transport Simulation PlatformR01GM114365 · NIGMS · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2015 to 2023
$2.9M
Next-generation optical brain functional imaging platformR01EB026998 · NIBIB · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2018 to 2019
$870k
NIBIB NIH HHS R01 EB026998NIGMS NIH HHS R01 GM114365
6 · The paper itself

Abstract

Significance: Functional near-infrared spectroscopy (fNIRS) presents an opportunity to study human brains in everyday activities and environments. However, achieving robust measurements under such dynamic condition remains a significant challenge. Aim: The modular optical brain imaging (MOBI) system is designed to enhance optode-to-scalp coupling and provide real-time probe 3-D shape estimation to improve the use of fNIRS in everyday conditions. Approach: The MOBI system utilizes a bendable and lightweight modular circuit-board design to enhance probe conformity to head surfaces and comfort for long-term wearability. Combined with automatic module connection recognition, the built-in orientation sensors on each module can be used to estimate optode 3-D positions in real-time to enable advanced tomographic data analysis and motion tracking. Results: Optical characterization of the MOBI detector reports a noise equivalence power (NEP) of 8.9 and 7.3 Conclusions: To the best of our knowledge, the MOBI system is the first modular fNIRS system featuring fully flexible circuit boards. The self-organizing module sensor network and automatic 3-D optode position acquisition, combined with lightweight modules (18 g/module) and ergonomic designs, would greatly aid emerging explorations of brain function in naturalistic settings.

Indexed as

brain imagingmodular fNIRSnaturalistic neuroimagingoptical tomographywearable system

Identifiers

PMID38496598
PMCPMC10942511
OpenAlexW4392467139

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.