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Record W1973356444 · doi:10.1117/1.nph.2.2.020401

Montreal SfNIRS conference shines light on the brain

2015· article· en· W1973356444 on OpenAlexaffabout
Frédéric Lesage, Hellmuth Obrig

Bibliographic record

VenueNeurophotonics · 2015
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsPolytechnique MontréalMontreal Heart Institute
Fundersnot available
KeywordsNeuroimagingNeuroscienceCognitive neuroscienceBrain functionCognitionPsychologyMedicineCognitive scienceData scienceComputer science

Abstract

fetched live from OpenAlex

Noninvasive imaging of brain function has become an indispensable pillar of neuroscience and clinically motivated research on brain disease. Despite the undisputed strength of MRI-based techniques, less demanding and broadly affordable methods may be necessary to complement and expand the scope of neuroimaging from a bulky scanner to the bedside or into ecologically meaningful environments. Near-infrared spectroscopy has clearly developed into one of the most exciting options increasingly used by cognitive and developmental researchers, neonatologists, anesthesiologists, neurologists, and psychiatrists. In concert with electrophysiological and other vascular-based imaging techniques, NIRS may well serve to link basic research to clinical challenges. In October 2014, Montreal, Canada, welcomed the functional near-infrared spectroscopy conference fNIRS2014. From its inception in 2010 when it was held in Boston, United States, to its sequel in London, United Kingdom, in 2012, this biennial conference has seen increasing attendance and now attracts more than 300 international researchers working in fNIRS. It has become the main forum for presenting fNIRS research. The wide range of contributions at the conference in Montreal reached from methodological advances, novel applications in cognitive and developmental neuroscience to clinical applications. While traditional NIRS imaging affords low-resolution images of limited areas of the brain’s surface, the group from Washington University (Joe Culver) has steadily promoted a dense probe array setup allowing for a multidistance approach. This was shown to yield images with an impressive lateral spatial resolution approaching fMRI techniques. Such technological and analytical state-of-the-art setups can successfully image changes in neuronal connectivity in patients suffering from acute to subacute stroke. These technologically demanding setups may be limited to use in hospitals and large research institutions. Thus it was exciting to see that the group from University College London (Clare Elwell) has consistently followed the advantage of the instrumental portability of NIRS. Pioneering work on fNIRS imaging in global health issues, the group presented data on cognitive development in children in rural Africa. The data successfully collected in a village in Gambia allow for a first glimpse into the pressing questions of how malnutrition may interfere with normal cognitive development. Beyond novel pioneering applications, the methodology may indeed provide broadly devisable diagnostic support. Martin Wolf (ETH Zurich) presented a multicenter phase II study on cerebral oxygenation monitoring in preterm infants, proving that NIRS can reach clinically meaningful usage. In adults beyond vascular disease, epilepsy has clearly become another focus of research. Altered hemodynamic responses may allow for better differentiation of seizure types. Focusing on epilepsy, two groups from Montreal (Dang Nguyen and Christophe Grova) have established the potential for long-term monitoring of patients. Especially when combined with EEG and MRI, fNIRS can refine the individualized multimodal search for an epileptic focus. Such dual assessment of the electrophysiological and the vascular response to pathological brain activity may be of utmost relevance in the immature brain. Fabrice Wallois (Amiens, France) convincingly showed how a novel and integrative view on vascular and electrophysiological responses to stimulation and pathological brain activity is mandatory when addressing neurodevelopment in infants and preterm babies. The range of applications in the many fields of developmental psychology is broad. Worldwide groups explore the methodology’s potential in language acquisition and the development of other cognitive domains. Here, exciting new approaches based on dynamic connectivity analysis (Gentaro Taga, Tokyo, Japan) extend the spectrum. Other groups presented data on resting-state connectivity, a now widely adopted approach in the vascular imaging community to assess brain function and integrity of large-scale neuronal networks even without a defined stimulus protocol. This may well help to assess brain function also in populations with limited means to cooperate, such as elderly patients and children. The majority of fNIRS users rely on the basic parameters of hemoglobin oxygenation assessable by continuous-wave dual-wavelength systems. Less prominent signals including cell-based cytochrome-oxidase and the option to simultaneously measure complementary vascular parameters such as blood flow velocity require close cooperation between those groups with a focus on methodological advances with physiologists and clinicians. Thus the diversity of researchers and attendees from quite different fields shall be the path forward for accelerating these methodological advances into broad-ranging applications. In that vein, the conference was combined with the creation of a new fNIRS society (fNIRS.org) with the goal of promoting exchange of ideas and research, creating standards, and encouraging communication within the community and with interdisciplinary partners. The society also promotes fNIRS through courses, activities, and dissemination of software. New board members and officers were elected in 2014, and president-elect Clare Elwell will continue to grow dissemination activities and help shape the future of the society in the coming years. Exciting trends seen in fNIRS include an increasing use of fNIRS outside its mainstream founding applications (neonatal/pediatrics, neurocognition) to applications in a clinical setting (stroke, epilepsy) and natural conditions (fNIRS in movement). Improvements in acquisition techniques such as broadband systems to measure cytochrome-c-oxidase, use of diffusion correlation spectroscopy to measure blood flow, gated time-domain detection toward improved brain-tissue sensitivity and increased optode density are all expected to help move the field further in next-generation acquisition consoles. fNIRS signal processing and data analysis also saw consolidation toward standards, which demonstrates the increased maturity of research in fNIRS. In 2016, the fNIRS conference will be held in Paris (fNIRS2016), and we anticipate continued growth and scientific progress on the exciting topics and trends observed this year. Progress and innovations observed this year are expected to fuel scientific discoveries for years to come, and the next fNIRS conference will again be a central forum for dissemination and exchanges. We hope to see you all there.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0030.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0030.003
Scholarly communication0.0090.003
Open science0.0020.004
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.1290.050

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.305
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes2
Has abstractyes

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