Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility

Li, Keshuang; Jiang, Yihan; Gong, Yilong; Zhao, Weihua; Zhao, Zhiying; Liu, Xiaolong; Kendrick, Keith M.; Zhu, Chaozhe; Becker, Benjamin

doi:10.1117/1.nph.6.2.025011

Cited by 28 publications

(48 citation statements)

References 80 publications

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“…The bulk of the studies trained participants to regulate parts of the prefrontal cortex (PFC), i.e., dorsolateral prefrontal cortex (dlPFC), inferior frontal gyrus (IFG), frontal pole or orbitofrontal cortex (OFC). Some studies broadly targeted the PFC using eight to fourteen target channels (Barth et al, 2016;Hudak et al, 2017Hudak et al, , 2018Kimmig et al, 2018) and others targeted specific subregions of the PFC using only one target channel (Li et al, 2019). Another large proportion of the studies trained participants to regulate activation within sensorimotor regions and enhance motor imageryrelated brain activation (e.g., Fujimoto et al, 2017).…”

Section: Training Protocolsmentioning

confidence: 99%

“…The majority of studies applied five sessions or less. While the optimal number of sessions for acquiring self-regulation of hemodynamic brain responses via fNIRS needs to be determined, successful regulation after even a single session has been reported in sham-controlled studies (Fujimoto et al, 2017;Li et al, 2019). Similar to fMRI-neurofeedback, fNIRS-neurofeedback targets spatially specific brain hemodynamics and might therefore offer a faster pace of learning compared to EEGneurofeedback with most studies involving 20-40 training sessions (see also Marx et al, 2015;Thibault et al, 2018).…”

Section: Training Durationmentioning

confidence: 99%

“…The presentation of feedback information may differ with regard to (1) sensory modality (visual, auditory, tactile), (2) timing (immediate vs. delayed), (3) complexity (simple vs. complex virtual environment), and (4) rewarding content (smiling faces or monetary reward). Most of the studies used a simple type of immediate visual feedback in the form of a bar (e.g., Fujimoto et al, 2017) or more complex animations of, for example, rising objects (e.g., Li et al, 2019;Marx et al, 2015), or smiling virtual agents (Aranyi et al, 2016). Others used color-coded topographic maps (Barth et al, 2016;Kober et al, 2018;Lapborisuth et al, 2017), displaying the signal change of all channels while instructing participants to focus on a certain region within the channel arrangement.…”

Section: Feedback Presentationmentioning

confidence: 99%

“…The majority of the studies which reported their online pre-processing steps applied different kinds of high-and low-pass filters (10 of 17; Table 2). Some studies did not use a high-pass filter (e.g., Aranyi et al, 2016;Kimmig et al, 2018;Li et al, 2019). For low-pass filtering, mainly finite impulse response (FIR) filters were used, most commonly a moving-average filter (window ranging from 2-5 s).…”

Section: Online Preprocessing and Artifact Controlmentioning

confidence: 99%

“…For example, thresholds were defined based on signal variation during the preceding control condition (Aranyi et al, 2016;Kimmig et al, 2018) on the basis of t-values, which was also used for feedback (Fujimoto et al, 2017), or based on a certain HbO change (Kinoshita et al, 2016). Li et al (2019) calibrated thresholds based on a pre-experiment conducted in an independent sample. However, some studies did not transparently report how the threshold used for feedback was defined (see also Section 3.2).…”

Section: Calculation Of Feedback Informationmentioning

confidence: 99%

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The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Mehler¹,

Lührs²,

Thibault³

et al. 2019

Preprint

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Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation and behaviors have been studied extensively in the past. More recently, researchers have begun to investigate the effects of functional near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a functional neuroimaging technique based on brain hemodynamics, which is easy to use, portable, inexpensive, and has reduced sensitivity to movement artifacts.Method: We provide the first systematic review and database of fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including a total of N=441 participants; 337 healthy, 104 patients). We (1) give a comprehensive overview of how fNIRS-neurofeedback training protocols were implemented, (2) review the online signal-processing methods used, (3) evaluate the quality of studies using pre-set methodological and reporting quality criteria and also present statistical sensitivity/power analyses, (4) investigate the effectiveness of fNIRS-neurofeedback in modulating brain activation, and (5) review its effectiveness in changing behavior in healthy and pathological populations. Results and discussion: (1-2) Published studies are heterogeneous (e.g., neurofeedback targets, investigated populations, applied training protocols, and methods). (3) Large randomized controlled trials are still lacking. In view of the novelty of the field, the quality of the published studies is moderate. We identified room for improvement in reporting important information and statistical power to detect realistic effects. (4) Several studies show that people can regulate hemodynamic signals from cortical brain regions with fNIRS-neurofeedback and (5) these studies indicate the feasibility of modulating motor control and prefrontal brain functioning in healthy participants and ameliorating symptoms in clinical populations (stroke, ADHD, autism, and social anxiety). However, valid conclusions about specificity or potential clinical utility are premature. Conclusion: Due to the advantages of practicability and relatively low cost, fNIRS-neurofeedback might provide a suitable and powerful alternative to EEG and fMRI neurofeedback and has great potential for clinical translation of neurofeedback. Together with more rigorous research and reporting practices, further methodological improvements may lead to a more solid understanding of fNIRS-neurofeedback. Future research will benefit from exploiting the advantages of fNIRS, which offers unique opportunities for neurofeedback research.

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Section: Training Protocolsmentioning

confidence: 99%

Section: Training Durationmentioning

confidence: 99%

Section: Feedback Presentationmentioning

confidence: 99%

Section: Online Preprocessing and Artifact Controlmentioning

confidence: 99%

Section: Calculation Of Feedback Informationmentioning

confidence: 99%

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The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Mehler¹,

Lührs²,

Thibault³

et al. 2019

Preprint

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Secondary rewards acquire enhanced incentive motivation via increasing anticipatory activity of the lateral orbitofrontal cortex

et al. 2021

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The motivation to strive for and consume primary rewards such as palatable food is bound by internal satiation and devaluation mechanisms, yet secondary rewards such as money may not be bound by these regulatory mechanisms. The present study therefore aimed at determining diverging devaluation trajectories for primary (chocolate milk) and secondary (money) reinforcers on the behavioral and neural level. Satiation procedures combined with a choice (Experiment 1) and an incentive delay (Experiment 2) paradigm consistently revealed decreased hedonic value for the primary reward as reflected by decreasing hedonic evaluation and choice preference, while hedonic value and preferences for the secondary reward increased. Concomitantly acquired functional near-infrared spectroscopy (fNIRS) data during the incentive delay paradigm revealed that increasing value of the secondary reward was accompanied by increasing anticipatory activation in the lateral orbitofrontal cortex, while during the consummatory phase the secondary reinforcer associated with higher medial orbitofrontal activity irrespective of devaluation stage. Overall, the findings suggest that -in contrast to primary reinforcers -secondary reinforcers can acquire progressively enhanced incentive motivation with repeated receipt, suggesting a mechanism which could promote escalating striving to obtain secondary rewards..

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Brain activity in response to food images in patients with irritable bowel syndrome and functional dyspepsia

Katsumata,

Hosokawa,

Manabe

et al. 2023

J Gastroenterol

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Background Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are caused and exacerbated by consumption of fatty foods. However, no study has evaluated brain activity in response to food images in patients with disorders of gut–brain interaction (DGBI). This study aimed to compare food preference and brain activity when viewing food images between patients with DGBI and healthy controls. Methods FD and IBS were diagnosed using the ROME IV criteria. Food preference was assessed using a visual analog scale (VAS). Brain activity in the prefrontal cortex (PFC) in response to food images was investigated using functional near-infrared spectroscopy (fNIRS). Results Forty-one patients were enrolled, including 25 with DGBI. The mean VAS scores for all foods (controls vs. FD vs. IBS: 69.1 ± 3.3 vs. 54.8 ± 3.8 vs. 62.8 ± 3.7, p = 0.02), including fatty foods (78.1 ± 5.4 vs. 43.4 ± 6.3 vs. 64.7 ± 6.1, p < 0.01), were the lowest in patients with FD among all groups. Patients with FD had significantly higher brain activity in the left PFC than those with IBS and healthy controls (mean z-scores in controls vs. FD vs. IBS: − 0.077 ± 0.03 vs. 0.125 ± 0.04 vs. − 0.002 ± 0.03, p < 0.001). Conclusions Patients with DGBI, particularly those with FD, disliked fatty foods. The brain activity in patients with DGBI differed from that in healthy controls. Increased activity in the PFC of patients with FD was confirmed.

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Functional near-infrared spectroscopy-informed neurofeedback: regional-specific modulation of lateral orbitofrontal activation and cognitive flexibility

Abstract: Functional near-infrared spectroscopy-informed neurofeedback: regionalspecific modulation of lateral orbitofrontal activation and cognitive flexibility," Neurophoton. 6(2), 025011 (2020),

Cited by 28 publications

References 80 publications

The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

The potential of functional near-infrared spectroscopy-based neurofeedback – a systematic review and recommendations for best practice

Secondary rewards acquire enhanced incentive motivation via increasing anticipatory activity of the lateral orbitofrontal cortex

Brain activity in response to food images in patients with irritable bowel syndrome and functional dyspepsia

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