Context Matters: Situational Stress Impedes Functional Reorganization of Intrinsic Brain Connectivity during Problem-Solving

Liu, Mengting; Backer, Robert; Amey, Rachel; Splan, E. E.; Magerman, Adam B.; Forbes, Chad E.

doi:10.1093/cercor/bhaa349

Cited by 7 publications

(2 citation statements)

References 81 publications

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“…EEG epoching is a procedure in which specific time-windows are extracted from the continuous EEG signal. EEG artifacts were removed via FASTER (Fully Automated Statistical Thresholding for EEG artifact Rejection; Amey et al, 2022; Forbes et al, 2018; Liu, Backer, Amey, & Forbes, 2021; Liu, Backer, Amey, Splan, et al, 2021; Nolan et al, 2010), an automated approach to cleaning EEG data that is based on multiple iterations of independent component and statistical thresholding analyses. Processing the data through iterations of thresholding analyses helps remove artifacts from the EEG data.…”

Section: Methodsmentioning

confidence: 99%

When Majority Men Respect Minority Women, Groups Communicate Better: A Neurological Exploration

Amey

Emich

Forbes

2023

Small Group Research

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Groups must leverage their members’ diverse knowledge to make optimal decisions. However, the gender composition of a group may affect this ability, particularly because solo status female members (one female grouped with males) are generally allocated lower status than their male counterparts, so their knowledge is more likely to be ignored. Whereas most previous work suggests ways solo status women can increase their status; instead, we propose that groups communicate better when men give their female teammate appropriate respect. We examine this in mixed-gender groups working on a hidden profile task while wearing wireless EEGs to measure live neural activity. We find that groups who solve the problem correctly are more likely to contain majority male members with more approach-oriented mindsets, operationalized as neural alpha asymmetry, as they respect their female teammate more. Thus, we provide evidence that neural activity is partially responsible for whether mixed-gender groups make optimal decisions.

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Section: Methodsmentioning

confidence: 99%

When Majority Men Respect Minority Women, Groups Communicate Better: A Neurological Exploration

Amey

Emich

Forbes

2023

Small Group Research

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“…Yet, CPM provided nuanced details by revealing novel connectivity between regions within the network which, previously, were not related to attention capability. In another example, Liu et al (2021b) applied CPM in a more sophisticated manipulation. The experiment had participants complete challenging math problems in stressful and normal contexts.…”

Section: Connectome-based Predictive Modelingmentioning

confidence: 99%

Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations

Liu

Amey

Backer

et al. 2022

Front. Hum. Neurosci.

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Mapping human behaviors to brain activity has become a key focus in modern cognitive neuroscience. As methods such as functional MRI (fMRI) advance cognitive scientists show an increasing interest in investigating neural activity in terms of functional connectivity and brain networks, rather than activation in a single brain region. Due to the noisy nature of neural activity, determining how behaviors are associated with specific neural signals is not well-established. Previous research has suggested graph theory techniques as a solution. Graph theory provides an opportunity to interpret human behaviors in terms of the topological organization of brain network architecture. Graph theory-based approaches, however, only scratch the surface of what neural connections relate to human behavior. Recently, the development of data-driven methods, e.g., machine learning and deep learning approaches, provide a new perspective to study the relationship between brain networks and human behaviors across the whole brain, expanding upon past literatures. In this review, we sought to revisit these data-driven approaches to facilitate our understanding of neural mechanisms and build models of human behaviors. We start with the popular graph theory approach and then discuss other data-driven approaches such as connectome-based predictive modeling, multivariate pattern analysis, network dynamic modeling, and deep learning techniques that quantify meaningful networks and connectivity related to cognition and behaviors. Importantly, for each topic, we discuss the pros and cons of the methods in addition to providing examples using our own data for each technique to describe how these methods can be applied to real-world neuroimaging data.

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On the neural networks of self and other bias and their role in emergent social interactions

Forbes

2024

Cortex

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Context Matters: Situational Stress Impedes Functional Reorganization of Intrinsic Brain Connectivity during Problem-Solving

Cited by 7 publications

References 81 publications

When Majority Men Respect Minority Women, Groups Communicate Better: A Neurological Exploration

When Majority Men Respect Minority Women, Groups Communicate Better: A Neurological Exploration

Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations

On the neural networks of self and other bias and their role in emergent social interactions

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