Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
October 20th, 2023
2.3K views
We present a method for simultaneously collecting fMRI and fNIRS signals from the same subjects with whole-head fNIRS coverage. The protocol has been tested with three young adults and can be adapted for data collection for developmental studies and clinical populations.
Overview
This study presents a novel protocol for simultaneous collection of fMRI and fNIRS signals, allowing for improved alignment of data crucial in neuroimaging. The methodology has been tested with young adults and aims to be adaptable for use in clinical and developmental populations.
Key Study Components
Area of Science
- Neuroimaging
- Functional neuroimaging techniques
- Clinical neuroscience
Background
- fMRI is considered the gold standard in neuroimaging, providing insights into deeper brain structures.
- fNIRS is an emerging technique that can measure brain activity, albeit with limitations in depth.
- Previous attempts involved separate sessions for fMRI and fNIRS, which could influence participant response.
- Simultaneous recordings aim to enhance data interpretation, particularly in special populations.
Purpose of Study
- To develop a method for the simultaneous collection of fNIRS and fMRI data.
- To provide a reliable protocol adaptable for diverse populations, including those with neuropsychological deficits.
- To improve confidence in fNIRS signal interpretation through alignment with fMRI results.
Methods Used
- The study utilized simultaneous fMRI and fNIRS technology to gather brain imaging data.
- Key details included participant preparation, cap fitting, and the secure attachment of optodes for fNIRS.
- Participants underwent a scanning procedure involving careful setup and alignment to ensure comfort.
- 3D modeling of the head was performed to accurately place optodes before imaging.
Main Results
- Initial findings indicated increased activation in bilateral visual cortex areas during specific visual tasks.
- fNIRS data demonstrated a significant increase in HBO signal in response to stimuli, illustrating the method's effectiveness.
- The protocol showed promise for future research with clinical and developmental study participants.
- The methodology allows for reliable collection of neuroimaging data from participants who may have varying comfort levels with fMRI equipment.
Conclusions
- The developed protocol demonstrates the feasibility of collecting fMRI and fNIRS data simultaneously.
- The alignment of signals from both neuroimaging techniques enhances understanding of neural dynamics.
- This work has significant implications for research into neural networks in special populations.
Frequently Asked Questions
What are the advantages of collecting fMRI and fNIRS signals simultaneously?
Simultaneous collection ensures accurate alignment of the two signals, enhancing the reliability of neuroimaging data and providing a comprehensive view of brain activity.
How is participant comfort ensured during the scanning process?
Careful instructions are given to participants on setup, and comfort measures such as cushion placement and equipment fitting are emphasized throughout the procedure.
What types of outcomes can be obtained from this method?
The method provides functional imaging data that reveals activation patterns in response to visual stimuli, along with physiological measures from fNIRS.
How can this method be adapted for different populations?
The protocol is designed to be flexible, enabling it to be tailored for clinical and developmental populations by adjusting participant setup and task instructions.
What are the key limitations of this simultaneous recording approach?
Challenges include ensuring participant comfort while fitted with both fNIRS and MRI equipment, as well as technical difficulties in aligning and optimizing data collection.
What was demonstrated through the fNIRS data analysis?
Data analysis showed increased arcs in the bilateral visual cortex during specific tasks, indicating that the simultaneous method is effective in capturing real-time brain activity.
Executive Industry Relevance
Simultaneous acquisition of fMRI and whole-head fNIRS data enables direct quantitative validation of fNIRS signals against the fMRI gold standard, addressing a critical need for robust, scalable neuroimaging in translational and developmental research. This protocol supports predictive confidence in functional brain mapping, facilitating the adoption of portable fNIRS systems for broader R&D and clinical applications. The approach strengthens portfolio decisions by enabling rigorous cross-modality comparison and de-risking of neuroimaging biomarkers.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables direct comparison of fNIRS and fMRI signals for functional target validation in neuroimaging studies.
- Supports mechanistic de-risking by aligning portable fNIRS outputs with established fMRI benchmarks.
- Facilitates hypothesis testing in disease-relevant systems, especially for developmental and clinical populations.
Screening & Assay Development
- Provides validated, quantitative readouts for functional brain activation using whole-head optode arrays.
- Improves assay reproducibility by integrating short-distance channels to regress non-cortical physiological signals.
- Enables standardization of neuroimaging protocols for scalable screening across diverse subject groups.
Translational & Preclinical Research
- Aligns fNIRS outputs with fMRI to support translational biomarker development across the lifespan.
- Ensures continuity from discovery-stage neuroimaging to preclinical validation in special populations.
- Reduces translational risk by providing quantitative, cross-validated functional connectivity data.
Pipeline & Workflow Integration
This protocol bridges early discovery and translational research by enabling simultaneous, quantitative neuroimaging with both fMRI and fNIRS, supporting lead identification and biomarker validation workflows.
- Discovery Biology: Supports rigorous hypothesis testing and pathway clarification through cross-modality signal alignment.
- Screening: Delivers reproducible, quantitative activation maps suitable for downstream compound or intervention evaluation.
- Analytics: Provides synchronized, quantitative dependent variable measurements for robust statistical comparison.
- Translational Research: Facilitates biomarker alignment and continuity from healthy adults to clinical and developmental cohorts.
- Enterprise Reuse: Establishes a reusable, adaptable protocol for multi-site and multi-population neuroimaging studies.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in neuroimaging biomarker validation.
- Operational Value: Standardizes data collection and analysis across modalities and populations.
- Strategic Value: Enables better go/no-go decisions for neuroimaging-based programs and reduces late-stage biological risk.
- Portfolio Impact: Supports risk-adjusted prioritization of neuroimaging assets and translational research investments.
Implementation Considerations
- Requires expertise in both fMRI and fNIRS instrumentation and data analysis.
- Demands MR-compatible fNIRS hardware and robust optode-to-scalp co-registration methods.
- Necessitates cross-team standardization for data acquisition, physiological signal regression, and subject comfort.
- Adaptable for developmental and clinical populations with protocol modifications for comfort and compliance.
- Session duration and participant tolerance may limit throughput in certain cohorts.
Biopharma FAQs
Why does null hypothesis testing matter for fNIRS-fMRI target validation?
Null hypothesis testing enables objective comparison of fNIRS and fMRI activation patterns, ensuring that observed signal correspondence is statistically significant and not due to chance, which is essential for validating fNIRS as a reliable biomarker modality.
How does independent variable isolation fit the simultaneous fMRI-fNIRS workflow?
Isolating experimental variables, such as visual stimulus blocks, allows for precise attribution of activation changes in both fMRI and fNIRS data, supporting mechanistic clarity and reducing confounding in cross-modality validation studies.
What do quantitative dependent variable measurements enable in this protocol?
Quantitative measurements of hemodynamic responses from both modalities enable direct statistical comparison, facilitating robust validation of fNIRS signals and supporting predictive confidence in functional neuroimaging outputs.
Why are replication requirements critical for cross-functional neuroimaging teams?
Replication across subjects and sessions ensures that observed fNIRS-fMRI correspondences are reproducible, supporting cross-team confidence in protocol reliability and enabling broader adoption in multi-site studies.
What statistical analysis capabilities are required before implementing this protocol?
Teams must be equipped to perform signal alignment, regression of physiological noise, and quantitative comparison of activation maps to ensure rigorous validation and actionable insights from simultaneous fMRI-fNIRS data.
Chapters in this video
0:00
Introduction
1:49
fNIRS Cap Placement and Signal Calibration on Testing Day
4:50
Participant Setup
6:17
Scanner and fNIRS Equipment Setup Prior to Signal Recording
6:48
Results: Subject‐Specific Responses for the Flashing Checkerboard Task for fMRI and fNIRS Signals
7:49
Conclusion
