scholarly journals Scarcity Mindset Neuro Network Decoding With Reward: A Tree-Based Model and Functional Near-Infrared Spectroscopy Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Xiaowei Jiang ◽  
Chenghao Zhou ◽  
Na Ao ◽  
Wenke Gu ◽  
Jingyi Li ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Cognitive Performance ◽  
Near Infrared Spectroscopy ◽  
Dorsolateral Prefrontal Cortex ◽  
Near Infrared ◽  
Functional Near Infrared Spectroscopy ◽  
Ventrolateral Prefrontal Cortex ◽  
Dorsolateral Prefrontal ◽  
The Right

Resource scarcity imposes challenging demands on the human cognitive system. Insufficient resources cause the scarcity mindset to affect cognitive performance, while reward enhances cognitive function. Here, we examined how reward and scarcity simultaneously contribute to cognitive performance. Experimental manipulation to induce a polar scarcity mindset and reward conditions within participants under functional near-infrared spectroscopy (fNIRS) recording was implemented to explore the mechanism underlying the scarcity mindset and reward in terms of behavior and neurocognition. Participants showed decreased functional connectivity from the dorsolateral prefrontal cortex (DLPFC) to the ventrolateral prefrontal cortex (VLPFC) with a scarcity mindset, a region often implicated in cognitive control. Moreover, under reward conditions, the brain activation of the maximum total Hb bold signal was mainly located in the left hemisphere [channels 1, 3, and 4, left ventrolateral prefrontal cortex (L-VLPFC) and channel 6, left dorsolateral prefrontal cortex (L-DLPFC)], and there was also significant brain activation of the right dorsolateral prefrontal cortex (R-DLPFC) in the right hemisphere (channel 17). Furthermore, these data indicate the underlying neural changes of the scarcity mentality and demonstrate that brain activities may underlie reward processing. Additionally, the base-tree machine learning model was trained to detect the mechanism of reward function in the prefrontal cortex (PFC). According to SHapley Additive exPlanations (SHAP), channel 8 contributed the most important effect, as well as demonstrating a high-level interrelationship with other channels.

Social hyperscanning with fNIRS

Gesture ◽  
2020 ◽  
Vol 19 (2-3) ◽  
pp. 196-222
Author(s):  
Michela Balconi ◽  
Angela Bartolo ◽  
Giulia Fronda
Keyword(s):  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Dorsolateral Prefrontal Cortex ◽  
Near Infrared ◽  
Brain Connectivity ◽  
Gestural Communication ◽  
Functional Near Infrared Spectroscopy ◽  
Dorsolateral Prefrontal ◽  
Posterior Parietal

Abstract The interest of neuroscience has been aimed at the investigation of the neural bases underlying gestural communication. This research explored the intra- and inter-brain connectivity between encoder and decoder. Specifically, adopting a “hyperscanning paradigm” with the functional Near-infrared Spectroscopy (fNIRS) cerebral connectivity in oxygenated (O2Hb) and deoxygenated (HHb) hemoglobin levels were revealed during the reproduction of affective, social, and informative gestures of different valence. Results showed an increase of intra- and inter-brain connectivity in dorsolateral prefrontal cortex for affective gestures, in superior frontal gyrus for social gestures and in frontal eyes field for informative gestures. Moreover, encoder showed a higher intra-brain connectivity in posterior parietal areas more than decoder. Finally, an increasing of inter-brain connectivity more than intra-brain (ConIndex) was observed in left regions for positive gestures. The present research has explored how the individuals neural tuning mechanisms turn out to be strongly influenced by the nature of specific gestures.

scholarly journals What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep

2021 ◽  
Vol 3 ◽  
Author(s):  
Zilu Liang
Keyword(s):  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Pilot Study ◽  
Near Infrared Spectroscopy ◽  
Dorsolateral Prefrontal Cortex ◽  
Near Infrared ◽  
Functional Near Infrared Spectroscopy ◽  
Stress Indicators ◽  
Measured Stress ◽  
Dorsolateral Prefrontal

People with mental stress often experience disturbed sleep, suggesting stress-related abnormalities in brain activity during sleep. However, no study has looked at the physiological oscillations in brain hemodynamics during sleep in relation to stress. In this pilot study, we aimed to explore the relationships between bedtime stress and the hemodynamics in the prefrontal cortex during the first sleep cycle. We tracked the stress biomarkers, salivary cortisol, and secretory immunoglobulin A (sIgA) on a daily basis and utilized the days of lower levels of measured stress as natural controls to the days of higher levels of measured stress. Cortical hemodynamics was measured using a cutting-edge wearable functional near-infrared spectroscopy (fNIRS) system. Time-domain, frequency-domain features as well as nonlinear features were derived from the cleaned hemodynamic signals. We proposed an original ensemble algorithm to generate an average importance score for each feature based on the assessment of six statistical and machine learning techniques. With all channels counted in, the top five most referred feature types are Hurst exponent, mean, the ratio of the major/minor axis standard deviation of the Poincaré plot of the signal, statistical complexity, and crest factor. The left rostral prefrontal cortex (RLPFC) was the most relevant sub-region. Significantly strong correlations were found between the hemodynamic features derived at this sub-region and all three stress indicators. The dorsolateral prefrontal cortex (DLPFC) is also a relevant cortical area. The areas of mid-DLPFC and caudal-DLPFC both demonstrated significant and moderate association to all three stress indicators. No relevance was found in the ventrolateral prefrontal cortex. The preliminary results shed light on the possible role of the RLPCF, especially the left RLPCF, in processing stress during sleep. In addition, our findings echoed the previous stress studies conducted during wake time and provides supplementary evidence on the relevance of the dorsolateral prefrontal cortex in stress responses during sleep. This pilot study serves as a proof-of-concept for a new research paradigm to stress research and identified exciting opportunities for future studies.

scholarly journals Prefrontal activation related to spontaneous creativity with rock music improvisation: A functional near-infrared spectroscopy study

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Atsumichi Tachibana ◽  
J. Adam Noah ◽  
Yumie Ono ◽  
Daisuke Taguchi ◽  
Shuichi Ueda
Keyword(s):  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Neural Activity ◽  
Rock Music ◽  
Near Infrared ◽  
Brain Activity ◽  
Functional Near Infrared Spectroscopy ◽  
Left Dlpfc ◽  
Dorsolateral Prefrontal

Abstract Understanding how the brain modulates improvisation has been the focus of numerous studies in recent years. Models have suggested regulation of activity between default mode and executive control networks play a role in improvisational execution. Several studies comparing formulaic to improvised sequences support this framework and document increases in activity in medial frontal lobe with decreased activity in the dorsolateral prefrontal cortex (DLPFC). These patterns can be influenced through training and neural responses may differ between in beginner and expert musicians. Our goal was to test the generalizability of this framework and determine similarity in neural activity in the prefrontal cortex during improvisation. Twenty guitarists performed improvised and formulaic sequences in a blues rock format while brain activity was recorded using functional near-infrared spectroscopy. Results indicate similar modulation in DLPFC as seen previously. Specific decreases of activity from left DLPFC in the end compared to beginning or middle of improvised sequences were also found. Despite the range of skills of participants, we also found significant correlation between subjective feelings of improvisational performance and modulation in left DLPFC. Processing of subjective feelings regardless of skill may contribute to neural modulation and may be a factor in understanding neural activity during improvisation.

Frontal  activation  patterns  during  Tetris game  play  and  differences  between  high  and  low performers:  a preliminary functional  near-infrared  spectroscopy study

2019 ◽  
Author(s):  
Takayuki Nakahachi ◽  
Ryouhei Ishii ◽  
Leonides Canuet ◽  
Iori Sato ◽  
Kiyoko Kamibeppu ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Frontal Cortex ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Cortical Activation ◽  
The Other ◽  
Functional Near Infrared Spectroscopy ◽  
Activation Patterns ◽  
The Right

Abstract Background: Tetris has recently expanded its place of activity not only to the original entertainment but also to clinical applications such as prevention of trauma flashback. However, to our knowledge, no studies focused on the cortical activation patterns themselves when playing Tetris in a natural form. This study aimed to investigate the activation patterns in the frontal cortex during naturally-performed Tetris for 90 seconds in 24 healthy subjects using functional near-infrared spectroscopy robust to artifacts by motion and electric devices. We also calculated the correlations of behavioral data with cortical activations, and compared the differences in activations between the high and low performers of Tetris. Results: The results demonstrated that significant activations in the frontal cortex during Tetris play had two factors, each showing a similar activation pattern. One of the factors was distributed over the lateral prefrontal cortex bilaterally, and the other was localized to the right prefrontal cortex. Moreover, in the high performers, the activations of the areas centered on the right dorsolateral prefrontal cortex (DLPFC) were estimated to increase and correlations of the activations between those areas and the other areas decrease compared with the low performers. Conclusions: It is suggested that high Tetris performers might reduce functional connectivity between activations of the areas centered on the right DLPFC and the other areas, and increase the local activations compared with low performers. It would be necessary to consider whether its visuospatial cognitive loads stimulate the appropriate areas of the subject’s brain to effectively utilize Tetris play for clinical interventions.

scholarly journals Working Memory, Cognitive Load and Cardiorespiratory Fitness: Testing the CRUNCH Model with Near-Infrared Spectroscopy

2019 ◽  
Vol 9 (2) ◽  
pp. 38 ◽  
Author(s):  
Nounagnon Agbangla ◽  
Michel Audiffren ◽  
Jean Pylouster ◽  
Cédric Albinet
Keyword(s):  
Working Memory ◽  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Cognitive Load ◽  
Cognitive Performance ◽  
Cardiorespiratory Fitness ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Chronological Age ◽  
Functional Near Infrared Spectroscopy

The present study aimed to examine the effects of chronological age and cardiorespiratory fitness (CRF) on cognitive performance and prefrontal cortex activity, and to test the compensation-related utilization of neural circuits hypothesis (CRUNCH). A total of 19 young adults (18–22 years) and 37 older ones (60–77 years) with a high or low CRF level were recruited to perform a working memory updating task under three different cognitive load conditions. Prefrontal cortex hemodynamic responses were continuously recorded using functional near-infrared spectroscopy, and behavioral performances and perceived difficulty were measured. Results showed that chronological age had deleterious effects on both cognitive performance and prefrontal cortex activation under a higher cognitive load. In older adults, however, higher levels of CRF were related to increased bilateral prefrontal cortex activation patterns that allowed them to sustain better cognitive performances, especially under the highest cognitive load. These results are discussed in the light of the neurocognitive CRUNCH model.

scholarly journals Illuminating the prefrontal neural correlates of action sequence disassembling in response–response binding

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Christoph F. Geissler ◽  
Christian Frings ◽  
Birte Moeller
Keyword(s):  
Prefrontal Cortex ◽  
Dorsolateral Prefrontal Cortex ◽  
Near Infrared ◽  
Response Repetition ◽  
Repetition Condition ◽  
Functional Near Infrared Spectroscopy ◽  
Action Sequence ◽  
Action Sequences ◽  
Dorsolateral Prefrontal ◽  
The Right

AbstractExecution of two independent actions in quick succession results in transient binding of these two actions. Subsequent repetition of any of these actions automatically retrieves the other. This process is probably fundamental for developing complex action sequences. However, rigid bindings between two actions are not always adaptive. Sometimes, it is necessary to repeat only one of the two previously executed actions. In such situations, stored action sequences must be disassembled, for the sake of flexibility. Exact mechanisms that allow for such an active unbinding of actions remain largely unknown, but it stands to reason, that some form of prefrontal executive control is necessary. Building on prior neuronal research that explored other forms of binding (e.g. between distractors and responses and abstract representations and responses), we explored middle and superior frontal correlates of -response binding in a sequential classification task with functional near-infrared spectroscopy. We found that anterior dorsolateral prefrontal cortex activity varied as a function of response–repetition condition. Activity in the right anterior dorsolateral prefrontal cortex correlated with changes in reaction times due to response–response binding. Our results indicate that the right anterior dorsolateral prefrontal cortex dismantles bindings between consecutive actions, whenever such bindings interfere with current action goals.

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