scholarly journals Putamen volume predicts real-time fMRI neurofeedback learning success across paradigms and neurofeedback target regions

2020 ◽  
Author(s):  
Zhiying Zhao ◽  
Shuxia Yao ◽  
Jana Zweerings ◽  
Xinqi Zhou ◽  
Feng Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Gray Matter Volume ◽  
Self Regulation ◽  
Instrumental Learning ◽  
Neural Substrates ◽  
Brain Regions ◽  
Structural Variations ◽  
Learning Success ◽  
The Right

AbstractReal-time fMRI guided neurofeedback training has gained increasing interest as a non-invasive brain regulation technique with the potential to normalize functional brain alterations in therapeutic contexts. Individual variations in learning success and treatment response have been observed, yet the neural substrates underlying the learning of self-regulation remain unclear. Against this background, we explored potential brain structural predictors for learning success with pooled data from three real-time fMRI datasets. Our analysis revealed that gray matter volume of the right putamen could predict neurofeedback learning success across the three datasets (n = 66 in total). Importantly, the original studies employed different neurofeedback paradigms during which different brain regions were trained pointing to a general association with learning success independent of specific aspects of the experimental design. Given the role of the putamen in associative learning the finding may reflect an important role of instrumental learning processes and brain structural variations in associated brain regions for successful acquisition of fMRI neurofeedback-guided self-regulation.

scholarly journals Can we predict real-time fMRI neurofeedback learning success from pre-training brain activity?

2020 ◽  
Author(s):  
Amelie Haugg ◽  
Ronald Sladky ◽  
Stavros Skouras ◽  
Amalia McDonald ◽  
Cameron Craddock ◽  
...  
Keyword(s):  
Real Time ◽  
Clinical Symptoms ◽  
Brain Activity ◽  
Treatment Success ◽  
Self Regulation ◽  
Brain Regions ◽  
Activity Levels ◽  
Success Predictors ◽  
Learning Success ◽  
Study Database

AbstractNeurofeedback training has been shown to influence behavior in healthy participants as well as to alleviate clinical symptoms in neurological, psychosomatic, and psychiatric patient populations. However, many real-time fMRI neurofeedback studies report large interindividual differences in learning success. The factors that cause this vast variability between participants remain unknown and their identification could enhance treatment success. Thus, here we employed a meta-analytic approach including data from 24 different neurofeedback studies with a total of 401 participants, including 140 patients, to determine whether levels of activity in target brain regions during pre-training functional localizer or no-feedback runs (i.e., self-regulation in the absence of neurofeedback) could predict neurofeedback learning success. We observed a slightly positive correlation between pre-training activity levels during a functional localizer run and neurofeedback learning success, but we were not able to identify common brain-based success predictors across our diverse cohort of studies. Therefore, advances need to be made in finding robust models and measures of general neurofeedback learning, and in increasing the current study database to allow for investigating further factors that might influence neurofeedback learning.

scholarly journals Sense of Agency Beyond Sensorimotor Process: Decoding Self-Other Action Attribution in the Human Brain

2020 ◽  
Vol 30 (7) ◽  
pp. 4076-4091
Author(s):  
Ryu Ohata ◽  
Tomohisa Asai ◽  
Hiroshi Kadota ◽  
Hiroaki Shigemasu ◽  
Kenji Ogawa ◽  
...  
Keyword(s):  
Subjective Experience ◽  
Parietal Lobe ◽  
Neural Substrates ◽  
Brain Regions ◽  
Sense Of Agency ◽  
Posterior Parietal ◽  
Sensorimotor Information ◽  
The One ◽  
The Right ◽  
Different Levels

Abstract The sense of agency is defined as the subjective experience that “I” am the one who is causing the action. Theoretical studies postulate that this subjective experience is developed through multistep processes extending from the sensorimotor to the cognitive level. However, it remains unclear how the brain processes such different levels of information and constitutes the neural substrates for the sense of agency. To answer this question, we combined two strategies: an experimental paradigm, in which self-agency gradually evolves according to sensorimotor experience, and a multivoxel pattern analysis. The combined strategies revealed that the sensorimotor, posterior parietal, anterior insula, and higher visual cortices contained information on self-other attribution during movement. In addition, we investigated whether the found regions showed a preference for self-other attribution or for sensorimotor information. As a result, the right supramarginal gyrus, a portion of the inferior parietal lobe (IPL), was found to be the most sensitive to self-other attribution among the found regions, while the bilateral precentral gyri and left IPL dominantly reflected sensorimotor information. Our results demonstrate that multiple brain regions are involved in the development of the sense of agency and that these show specific preferences for different levels of information.

scholarly journals Neural Substrates of Social Status Inference: Roles of Medial Prefrontal Cortex and Superior Temporal Sulcus

2014 ◽  
Vol 26 (5) ◽  
pp. 1131-1140 ◽  
Author(s):  
Malia Mason ◽  
Joe C. Magee ◽  
Susan T. Fiske
Keyword(s):  
Social Order ◽  
Neural Substrates ◽  
Brain Regions ◽  
Third Party ◽  
Social Interdependence ◽  
Medial Pfc ◽  
State Inference ◽  
The Brain ◽  
Track Status

The negotiation of social order is intimately connected to the capacity to infer and track status relationships. Despite the foundational role of status in social cognition, we know little about how the brain constructs status from social interactions that display it. Although emerging cognitive neuroscience reveals that status judgments depend on the intraparietal sulcus, a brain region that supports the comparison of targets along a quantitative continuum, we present evidence that status judgments do not necessarily reduce to ranking targets along a quantitative continuum. The process of judging status also fits a social interdependence analysis. Consistent with third-party perceivers judging status by inferring whose goals are dictating the terms of the interaction and who is subordinating their desires to whom, status judgments were associated with increased recruitment of medial pFC and STS, brain regions implicated in mental state inference.

The Neural Substrates of In-Group Bias

2008 ◽  
Vol 19 (11) ◽  
pp. 1131-1139 ◽  
Author(s):  
Jay J. Van Bavel ◽  
Dominic J. Packer ◽  
William A. Cunningham
Keyword(s):  
Orbitofrontal Cortex ◽  
Dorsal Striatum ◽  
Mixed Race ◽  
Neural Substrates ◽  
Brain Regions ◽  
Functional Magnetic Resonance ◽  
Intergroup Perception ◽  
Amygdala Activity ◽  
Group Members

Classic minimal-group studies found that people arbitrarily assigned to a novel group quickly display a range of perceptual, affective, and behavioral in-group biases. We randomly assigned participants to a mixed-race team and used functional magnetic resonance imaging to identify brain regions involved in processing novel in-group and out-group members independently of preexisting attitudes, stereotypes, or familiarity. Whereas previous research on intergroup perception found amygdala activity—typically interpreted as negativity—in response to stigmatized social groups, we found greater activity in the amygdala, fusiform gyri, orbitofrontal cortex, and dorsal striatum when participants viewed novel in-group faces than when they viewed novel out-group faces. Moreover, activity in orbitofrontal cortex mediated the in-group bias in self-reported liking for the faces. These in-group biases in neural activity were not moderated by race or by whether participants explicitly attended to team membership or race, a finding suggesting that they may occur automatically. This study helps clarify the role of neural substrates involved in perceptual and affective in-group biases.

scholarly journals Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses

2021 ◽  
Vol 15 ◽  
Author(s):  
Linlin Yu ◽  
Quanshan Long ◽  
Yancheng Tang ◽  
Shouhang Yin ◽  
Zijun Chen ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
Prefrontal Cortex ◽  
Real Time ◽  
Dorsolateral Prefrontal Cortex ◽  
Near Infrared ◽  
Self Regulation ◽  
Brain Regions ◽  
Functional Near Infrared Spectroscopy ◽  
Network Analyses ◽  
Dorsolateral Prefrontal

We investigated if emotion regulation can be improved through self-regulation training on non-emotional brain regions, as well as how to change the brain networks implicated in this process. During the training period, the participants were instructed to up-regulate their right dorsolateral prefrontal cortex (rDLPFC) activity according to real-time functional near-infrared spectroscopy (fNIRS) neurofeedback signals, and there was no emotional element. The results showed that the training significantly increased emotion regulation, resting-state functional connectivity (rsFC) within the emotion regulation network (ERN) and frontoparietal network (FPN), and rsFC between the ERN and amygdala; however, training did not influence the rsFC between the FPN and the amygdala. However, self-regulation training on rDLPFC significantly improved emotion regulation and generally increased the rsFCs within the networks; the rsFC between the ERN and amygdala was also selectively increased. The present study also described a safe approach that may improve emotion regulation through self-regulation training on non-emotional brain regions.

Identifying neuroanatomical signatures in insomnia and migraine comorbidity

SLEEP ◽  
2020 ◽  
Author(s):  
Kun-Hsien Chou ◽  
Pei-Lin Lee ◽  
Chih-Sung Liang ◽  
Jiunn-Tay Lee ◽  
Hung-Wen Kao ◽  
...  
Keyword(s):  
Large Scale ◽  
Gray Matter Volume ◽  
Brain Structures ◽  
Brain Network ◽  
Structural Covariance ◽  
Matter Volume ◽  
The Right ◽  
Global Brain ◽  
The Brain

Abstract Study Objectives While insomnia and migraine are often comorbid, the shared and distinct neuroanatomical substrates underlying these disorders and the brain structures associated with the comorbidity are unknown. We aimed to identify patterns of neuroanatomical substrate alterations associated with migraine and insomnia comorbidity. Methods High-resolution T1-weighted images were acquired from subjects with insomnia, migraine, and comorbid migraine and insomnia, respectively, and healthy controls (HC). Direct group comparisons with HC followed by conjunction analyses identified shared regional gray matter volume (GMV) alterations between the disorders. To further examine large-scale anatomical network changes, a seed-based structural covariance network (SCN) analysis was applied. Conjunction analyses also identified common SCN alterations in two disease groups, and we further evaluated these shared regional and global neuroanatomical signatures in the comorbid group. Results Compared with controls, patients with migraine and insomnia showed GMV changes in the cerebellum and the lingual, precentral, and postcentral gyri (PCG). The bilateral PCG were common GMV alteration sites in both groups, with decreased structural covariance integrity observed in the cerebellum. In patients with comorbid migraine and insomnia, shared regional GMV and global SCN changes were consistently observed. The GMV of the right PCG also correlated with sleep quality in these patients. Conclusion These findings highlight the specific role of the PCG in the shared pathophysiology of insomnia and migraine from a regional and global brain network perspective. These multilevel neuroanatomical changes could be used as potential image markers to decipher the comorbidity of the two disorders.

Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks

2014 ◽  
Vol 95 ◽  
pp. 4-20 ◽  
Author(s):  
Sergio Ruiz ◽  
Korhan Buyukturkoglu ◽  
Mohit Rana ◽  
Niels Birbaumer ◽  
Ranganatha Sitaram
Keyword(s):  
Real Time ◽  
Self Regulation ◽  
Brain Regions ◽  
Brain Computer Interfaces ◽  
Computer Interfaces

Neural Network Configuration and Efficiency Underlies Individual Differences in Spatial Orientation Ability

2014 ◽  
Vol 26 (2) ◽  
pp. 380-394 ◽  
Author(s):  
Aiden E. G. F. Arnold ◽  
Andrea B. Protzner ◽  
Signe Bray ◽  
Richard M. Levy ◽  
Giuseppe Iaria
Keyword(s):  
Individual Differences ◽  
Spatial Orientation ◽  
Primary Motor Cortex ◽  
Brain Regions ◽  
Network Configuration ◽  
Supramarginal Gyrus ◽  
Neural Basis ◽  
Left Hippocampus ◽  
The Right

Spatial orientation is a complex cognitive process requiring the integration of information processed in a distributed system of brain regions. Current models on the neural basis of spatial orientation are based primarily on the functional role of single brain regions, with limited understanding of how interaction among these brain regions relates to behavior. In this study, we investigated two sources of variability in the neural networks that support spatial orientation—network configuration and efficiency—and assessed whether variability in these topological properties relates to individual differences in orientation accuracy. Participants with higher accuracy were shown to express greater activity in the right supramarginal gyrus, the right precentral cortex, and the left hippocampus, over and above a core network engaged by the whole group. Additionally, high-performing individuals had increased levels of global efficiency within a resting-state network composed of brain regions engaged during orientation and increased levels of node centrality in the right supramarginal gyrus, the right primary motor cortex, and the left hippocampus. These results indicate that individual differences in the configuration of task-related networks and their efficiency measured at rest relate to the ability to spatially orient. Our findings advance systems neuroscience models of orientation and navigation by providing insight into the role of functional integration in shaping orientation behavior.

scholarly journals A causal role for the right frontal eye fields in value comparison

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Ian Krajbich ◽  
Andres Mitsumasu ◽  
Rafael Polania ◽  
Christian C Ruff ◽  
Ernst Fehr
Keyword(s):  
Decision Making ◽  
Visual Attention ◽  
Reaction Times ◽  
Underlying Mechanism ◽  
Brain Regions ◽  
Causal Role ◽  
Frontal Eye Field ◽  
Eye Field ◽  
The Right

Recent studies have suggested close functional links between overt visual attention and decision making. This suggests that the corresponding mechanisms may interface in brain regions known to be crucial for guiding visual attention – such as the frontal eye field (FEF). Here, we combined brain stimulation, eye tracking, and computational approaches to explore this possibility. We show that inhibitory transcranial magnetic stimulation (TMS) over the right FEF has a causal impact on decision making, reducing the effect of gaze dwell time on choice while also increasing reaction times. We computationally characterize this putative mechanism by using the attentional drift diffusion model (aDDM), which reveals that FEF inhibition reduces the relative discounting of the non-fixated option in the comparison process. Our findings establish an important causal role of the right FEF in choice, elucidate the underlying mechanism, and provide support for one of the key causal hypotheses associated with the aDDM.

scholarly journals Emotional Awareness in Schizophrenia Is Associated With Gray Matter Volume of Right Precuneus

2021 ◽  
Vol 12 ◽  
Author(s):  
Martin Jáni ◽  
Zora Kikinis ◽  
Jan Lošák ◽  
Ofer Pasternak ◽  
Filip Szczepankiewicz ◽  
...  
Keyword(s):  
Gray Matter ◽  
Gray Matter Volume ◽  
Emotional Awareness ◽  
Brain Regions ◽  
Magnetic Resonance Images ◽  
Healthy Controls ◽  
Emotional States ◽  
Brain Volumes ◽  
Matter Volume ◽  
The Right

Objectives: We assessed the relationship between emotional awareness (e.g., the ability to identify and differentiate our own feelings and feelings of others) and regional brain volumes in healthy and in schizophrenia groups.Methods: Magnetic resonance images of 29 subjects with schizophrenia and 33 matched healthy controls were acquired. Brain gray matter was parcellated using FreeSurfer and 28 regions of interest associated with emotional awareness were analyzed. All participants were assessed using the Levels of Emotional Awareness Scale (LEAS) of Self and of Other. LEAS scores were correlated with gray matter volume for each hemisphere on the 14 brain regions of the emotional awareness network.Results: Individuals with schizophrenia showed decreased emotional awareness on both LEAS Self and LEAS Other compared to healthy controls. There were no statistically significant between-group differences in gray matter volumes of the emotional awareness network. The performance on LEAS Other correlated negatively with right precuneus gray matter volume only in the schizophrenia group.Conclusion: Our findings suggest a relationship between gray matter volume of the right precuneus and deficits in understanding of emotional states of others in schizophrenia.

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