Evidence map›Paper›PMID 38192584›Full record

ArticleNeurophotonics2024

Feasibility study of functional near-infrared spectroscopy in the ventral visual pathway for real-life applications.

Weilu Chai, Peiming Zhang, Xiaoyan Zhang, Jia Wu, Chao Chen, Fu Li, Xuemei Xie, Guangming Shi, Jimin Liang, Chaozhe Zhu and 1 more

Open access · goldAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  8. Review
  9. Article
  10. Neuroplastic changes induced by long-termFrontiers in neuroscience · 2024
    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

11 authors at 4 institutions in 2 countries.

Weilu ChaiXidian University, School of Life Science and Technology, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.
Peiming ZhangXidian University, School of Life Science and Technology, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.
Xiaoyan ZhangXidian University, School of Life Science and Technology, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.
Jia WuNorthwestern Polytechnical University, School of Foreign Languages, Xi'an, China.
Chao ChenPLA Funding Payment Center, Beijing, China.
Fu LiXidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China.
Xuemei XieXidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China.
Guangming ShiXidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China.
Jimin LiangXidian University, School of Electronics and Engineering, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China.
Chaozhe ZhuBeijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing, China.ORCID https://orcid.org/0000-0002-9247-9607
Minghao DongXidian University, School of Life Science and Technology, Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, Xi'an, China.ORCID https://orcid.org/0000-0002-0190-6985
Xidian University · CNBeijing Normal University · CNDevelopment Fund · NONorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: fNIRS-based neuroenhancement depends on the feasible detection of hemodynamic responses in target brain regions. Using the lateral occipital complex (LOC) and the fusiform face area (FFA) in the ventral visual pathway as neurofeedback targets boosts performance in visual recognition. However, the feasibility of utilizing fNIRS to detect LOC and FFA activity in adults remains to be validated as the depth of these regions may exceed the detection limit of fNIRS. Aim: This study aims to investigate the feasibility of using fNIRS to measure hemodynamic responses in the ventral visual pathway, specifically in the LOC and FFA, in adults. Approach: We recorded the hemodynamic activities of the LOC and FFA regions in 35 subjects using a portable eight-channel fNIRS instrument. A standard one-back object and face recognition task was employed to elicit selective brain responses in the LOC and FFA regions. The placement of fNIRS optodes for LOC and FFA detection was guided by our group's transcranial brain atlas (TBA). Results: Our findings revealed selective activation of the LOC target channel (CH2) in response to objects, whereas the FFA target channel (CH7) did not exhibit selective activation in response to faces. Conclusions: Our findings indicate that, although fNIRS detection has limitations in capturing FFA activity, the LOC region emerges as a viable target for fNIRS-based detection. Furthermore, our results advocate for the adoption of the TBA-based method for setting the LOC target channel, offering a promising solution for optrode placement. This feasibility study stands as the inaugural validation of fNIRS for detecting cortical activity in the ventral visual pathway, underscoring its ecological validity. We suggest that our findings establish a pivotal technical groundwork for prospective real-life applications of fNIRS-based research.

Indexed as

feasibilityfNIRSfusiform face arealateral occipital complexventral visual pathway

Identifiers

PMID38192584
PMCPMC10773254
OpenAlexW4390661732

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.