Neural correlates of newsvendor-based decision making in the human brain:<i>An exploratory study to link neuroeconomics with neuroimaging using fNIRS</i>

Wanniarachchi, Hashini; Lang, Yan; Wang, Xinlong; Nerur, Sridhar; Chen, Kay Yut; Liu, Hanli

doi:10.1101/2020.02.08.940197

Cited by 5 publications

(4 citation statements)

References 33 publications

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“…The human brain acts as one cohesive complex network, connecting all brain regions and sub-networks collectively into one intricate system. Brain network provides valuable information about the local and global functional connectivity (Petsche et al, 1997 ) and incorporates information and interaction capability (Bullmore and Sporns, 2009 ; Kong et al, 2015 ; Geng et al, 2017 ; Hu et al, 2019 ; Wanniarachchi et al, 2020 ). Graph theory has been used commonly to examine such brain networks at resting state.…”

Section: Discussionmentioning

confidence: 99%

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Alterations of Cerebral Hemodynamics and Network Properties Induced by Newsvendor Problem in the Human Prefrontal Cortex

Wanniarachchi

Lang

Wang

et al. 2021

Front. Hum. Neurosci.

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While many publications have reported brain hemodynamic responses to decision-making under various conditions of risk, no inventory management scenarios, such as the newsvendor problem (NP), have been investigated in conjunction with neuroimaging. In this study, we hypothesized (I) that NP stimulates the dorsolateral prefrontal cortex (DLPFC) and the orbitofrontal cortex (OFC) joined with frontal polar area (FPA) significantly in the human brain, and (II) that local brain network properties are increased when a person transits from rest to the NP decision-making phase. A 77-channel functional near infrared spectroscopy (fNIRS) system with wide field-of-view (FOV) was employed to measure frontal cerebral hemodynamics in response to NP in 27 healthy human subjects. NP-induced changes in oxy-hemoglobin concentration, Δ[HbO], were investigated using a general linear model (GLM) and graph theory analysis (GTA). Significant activation induced by NP was shown in both DLPFC and OFC+FPA across all subjects. Specifically, higher risk NP with low-profit margins (LM) activated left-DLPFC but deactivated right-DLPFC in 14 subjects, while lower risk NP with high-profit margins (HM) stimulated both DLPFC and OFC+FPA in 13 subjects. The local efficiency, clustering coefficient, and path length of the network metrics were significantly enhanced under NP decision making. In summary, multi-channel fNIRS enabled us to identify DLPFC and OFC+FPA as key cortical regions of brain activations when subjects were making inventory-management risk decisions. We demonstrated that challenging NP resulted in the deactivation within right-DLPFC due to higher levels of stress. Also, local brain network properties were increased when a person transitioned from the rest phase to the NP decision-making phase.

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Section: Discussionmentioning

confidence: 99%

“…A portion of this manuscript has been released partially as a pre-print (Wanniarachchi et al, 2020 ).…”

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confidence: 99%

Alterations of Cerebral Hemodynamics and Network Properties Induced by Newsvendor Problem in the Human Prefrontal Cortex

Wanniarachchi

Lang

Wang

et al. 2021

Front. Hum. Neurosci.

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“…This study considered the HbO concentration only, due to its high sensitivity to changes in regional cerebral blood flow ( 50 ). The General Linear Model (GLM) has been widely used as a standard method for analyzing fNIRS data for channel activation analysis ( 51 , 52 ). After completing the data preprocessing, this study used the GLM to determine whether a channel significantly activated or did not ( 53 ).…”

Section: Methodsmentioning

confidence: 99%

Reduced inhibition control ability in children with ADHD due to coexisting learning disorders: an fNIRS study

Liu,

Chi,

2024

Front. Psychiatry

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IntroductionInhibition control, as the core component of executive function, might play a crucial role in the understanding of attention deficit/hyperactivity disorder (ADHD) and specific learning disorders (SLD). Inhibition control deficits have been observed in children with ADHD or SLD. This study sought to test in a multi-modal fashion (i.e., behavior and plus brain imaging) whether inhibition control abilities would be further deteriorated in the ADHD children due to the comorbidity of SLD.MethodA total number of 90 children (aged 6-12 years) were recruited, including 30 ADHD, 30 ADHD+SLD (children with the comorbidity of ADHD and SLD), and 30 typically developing (TD) children. For each participant, a 44-channel functional near infrared spectroscopy (fNIRS) equipment was first adopted to capture behavioral and cortical hemodynamic responses during a two-choice Oddball task (a relatively new inhibition control paradigm). Then, 50 metrics were extracted, including 6 behavioral metrics (i.e., OddballACC, baselineACC, totalACC, OddballRT, baselineRT, and totalRT) and 44 beta values in 44 channels based on general linear model. Finally, differences in those 50 metrics among the TD, ADHD, and ADHD+SLD children were analyzed.ResultsFindings showed that: (1) OddballACC (i.e., the response accuracy in deviant stimuli) is the most sensitive metric in identifying the differences between the ADHD and ADHD+SLD children; and (2) The ADHD+SLD children exhibited decreased behavioral response accuracy and brain activation level in some channels (e.g., channel CH35) than both the ADHD and TD children.DiscussionFindings seem to support that inhibition control abilities would be further decreased in the ADHD children due to the comorbidity of SLD.

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“…According to multiple regression analysis, the GLM was inserted into linear combinations of regressors to estimate the activation amplitudes correlated to specific movements ( Wanniarachchi et al, 2020 ). Moreover, we derive the integral value of the cerebral blood oxygen concentration in the task state minus the concentration in the resting state, which defines the degree of brain activation in the task state relative to the resting state.…”

Section: Methodsmentioning

confidence: 99%

The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

Zhou

Chen

Wang

et al. 2022

Front. Hum. Neurosci.

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ObjectiveThe correlation between the performance of coordination movement and brain activity is still not fully understood. The current study aimed to identify activated brain regions and brain network connectivity changes for several coordinated finger movements with different difficulty levels and to correlate the brain hemodynamics and connectivity with kinematic performance.MethodsTwenty-one right-dominant-handed subjects were recruited and asked to complete circular motions of single and bilateral fingers in the same direction (in-phase, IP) and in opposite directions (anti-phase, AP) on a plane. Kinematic data including radius and angular velocity at each task and synchronized blood oxygen concentration data using functional near-infrared spectroscopy (fNIRS) were recorded covering six brain regions including the prefrontal cortex, motor cortex, and occipital lobes. A general linear model was used to locate activated brain regions, and changes compared with baseline in blood oxygen concentration were used to evaluate the degree of brain region activation. Small-world properties, clustering coefficients, and efficiency were used to measure information interaction in brain activity during the movement.ResultIt was found that the radius error of the dominant hand was significantly lower than that of the non-dominant hand (p < 0.001) in both clockwise and counterclockwise movements. The fNIRS results confirmed that the contralateral brain region was activated during single finger movement and the dominant motor area was activated in IP movement, while both motor areas were activated simultaneously in AP movement. The Δhbo were weakly correlated with radius errors (p = 0.002). Brain information interaction in IP movement was significantly larger than that from AP movement in the brain network (p < 0.02) in the right prefrontal cortex. Brain activity in the right motor cortex reduces motor performance (p < 0.001), while the right prefrontal cortex region promotes it (p < 0.05).ConclusionOur results suggest there was a significant correlation between motion performance and brain activation level, as well as between motion deviation and brain functional connectivity. The findings may provide a basis for further exploration of the operation of complex brain networks.

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Neural correlates of newsvendor-based decision making in the human brain:An exploratory study to link neuroeconomics with neuroimaging using fNIRS

Cited by 5 publications

References 33 publications

Alterations of Cerebral Hemodynamics and Network Properties Induced by Newsvendor Problem in the Human Prefrontal Cortex

Alterations of Cerebral Hemodynamics and Network Properties Induced by Newsvendor Problem in the Human Prefrontal Cortex

Reduced inhibition control ability in children with ADHD due to coexisting learning disorders: an fNIRS study

The correlations between kinematic profiles and cerebral hemodynamics suggest changes of motor coordination in single and bilateral finger movement

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