The Experts below are selected from a list of 2703 Experts worldwide ranked by ideXlab platform
Jiang Qiu - One of the best experts on this subject based on the ideXlab platform.
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the trait and state negative affect can be separately predicted by stable and variable resting state functional connectivity
2020Co-Authors: Kaixiang Zhuang, Dongtao Wei, Jiang Qiu, Jiangzhou SunAbstract:Background Many emotional experiences such as anxiety and depression are influenced by negative affect (NA). NA has both trait and state features, which play different roles in physiological and mental health. Attending to NA common to various emotional experiences and their trait-state features might help deepen the understanding of the shared foundation of related emotional disorders. Methods The principal component of five measures was calculated to indicate individuals' NA level. Applying the connectivity-based correlation analysis, we first identified resting-state functional connectives (FCs) relating to NA in sample 1 (n = 367), which were validated through an independent sample (n = 232; sample 2). Next, based on the variability of FCs across large timescale, we further divided the NA-related FCs into high- and low-variability groups. Finally, FCs in different variability groups were separately applied to predict individuals' neuroticism level (which is assumed to be the core trait-related factor underlying NA), and the change of NA level (which represents the state-related fluctuation of NA). Results The low-variability FCs were primarily within the default mode Network (DMN) and between the DMN and dorsal Attention Network/sensory system and significantly predicted trait rather than state NA. The high-variability FCs were primarily between the DMN and Ventral Attention Network, the fronto-parietal Network and DMN/sensory system, and significantly predicted the change of NA level. Conclusions The trait and state NA can be separately predicted by stable and variable spontaneous FCs with different Attentional processes and emotion regulatory mechanisms, which could deepen our understanding of NA.
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brain connection pattern under interoceptive Attention state predict interoceptive intensity and subjective anxiety feeling
2019Co-Authors: Liang Shi, Dongtao Wei, Jiang QiuAbstract:Interoception involves the processing of a variety of different types of information ascending from the body. Accumulating evidence has indicated that interoception plays a fundamental role in cognitive and emotional processes, such as anxiety, but how different functional connectivity patterns contribute to emotions and visceral feelings during an interoceptive Attention state is still unclear. In the present study, an interoceptive Attention task was performed during functional magnetic resonance imaging of healthy subjects, and the participants' subjective ratings of the intensity of interoception and feelings of anxiety were recorded. Several Network nodes were selected, based on previous studies, to construct task-dependent functional connectivity patterns, which were processed by support vector regression to predict the corresponding feeling scores. The results showed that for interoception, the cingulo-opercular task control Network provided the greatest contribution, whereas the most important feature for anxiety was the connections between the sensorimotor area (SSM) and the salience Network (SN). There existed four overlapping connections between the two predictions: two negative connections between the default mode Network (DMN) and the SSM, one negative connection between the DMN and the SN, and one positive connection between the Ventral Attention Network and the SN; this overlap might suggest common bodily Attention processing that is involved in both interoception and anxiety. This study remediates the lack of Network-level biomarkers of interoception and provides a reference at the level of the brain for further understanding anxiety from an interoceptive perspective.
Xavier Guell - One of the best experts on this subject based on the ideXlab platform.
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functional connectivity changes in retired rugby league players a data driven functional magnetic resonance imaging study
2020Co-Authors: Xavier Guell, Sheeba Arnold Anteraper, Andrew Gardner, Susan Whitfieldgabrieli, Frances Kaylambkin, Grant L Iverson, John D E Gabrieli, Peter StanwellAbstract:There is considerable interest in the long-term brain health of retired contact and collision sport athletes; however, little is known about possible underlying changes in functional brain connectivity in this group. We evaluated whole-brain functional connectivity patterns using multi-voxel pattern analysis (MVPA) to determine whether alterations in functional connectivity distinguish retired professional athletes from a matched group of healthy community control subjects. Thirty-two retired athletes with a history of multiple self-reported sport-related concussions and 36 healthy community control subjects who were similar in age and education, completed functional magnetic resonance imaging. We identified brain regions with abnormal functional connectivity patterns using whole-brain MVPA as implemented in the Conn toolbox. First-level MVPA was performed using 64 principal component analysis (PCA) components. Second-level F test was performed using the first three MVPA components for retired athletes > controls group contrast. Post hoc seed-to-voxel analyses using the MVPA cluster results as seeds were performed to characterize functional connectivity abnormalities from brain regions identified by MVPA. MVPA revealed one cluster of abnormal functional connectivity located in cerebellar lobule V. This region of lobule V corresponded to the Ventral Attention Network. Post hoc seed-to-voxel analysis using the cerebellar MVPA cluster as a seed revealed multiple areas of cerebral cortical hyper-connectivity and hypo-connectivity in retired athletes when compared with controls. This initial report suggests that cerebellar dysfunction might be present and clinically important in some retired athletes.
Mathilde Bonnefond - One of the best experts on this subject based on the ideXlab platform.
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new insights on the Ventral Attention Network active suppression and involuntary recruitment during a bimodal task
2021Co-Authors: Rodolfo Solisvivanco, Ole Jensen, Mathilde BonnefondAbstract:Detection of unexpected, yet relevant events is essential in daily life. fMRI studies have revealed the involvement of the Ventral Attention Network (VAN), including the temporo-parietal junction (TPJ), in such process. In this MEG study with 34 participants (17 women), we used a bimodal (visual/auditory) Attention task to determine the neuronal dynamics associated with suppression of the activity of the VAN during top-down Attention and its recruitment when information from the unattended sensory modality is involuntarily integrated. We observed an anticipatory power increase of alpha/beta oscillations (12-20 Hz, previously associated with functional inhibition) in the VAN following a cue indicating the modality to attend. Stronger VAN power increases were associated with better task performance, suggesting that the VAN suppression prevents shifting Attention to distractors. Moreover, the TPJ was synchronized with the frontal eye field in that frequency band, indicating that the dorsal Attention Network (DAN) might participate in such suppression. Furthermore, we found a 12-20 Hz power decrease and enhanced synchronization, in both the VAN and DAN, when information between sensory modalities was congruent, suggesting an involvement of these Networks when Attention is involuntarily enhanced due to multisensory integration. Our results show that effective multimodal Attentional allocation includes the modulation of the VAN and DAN through upper-alpha/beta oscillations. Altogether these results indicate that the suppressing role of alpha/beta oscillations might operate beyond sensory regions.
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new insights on the Ventral Attention Network active suppression and involuntary recruitment during a bimodal task
2020Co-Authors: Rodolfo Solisvivanco, Ole Jensen, Mathilde BonnefondAbstract:ABSTRACT Reorienting Attention to unexpected events is essential in daily life. fMRI studies have revealed the involvement of the Ventral Attention Network (VAN), including the temporo-parietal junction (TPJ), in such process. In this MEG study with 34 participants (17 women) we used a bimodal (visual/auditory) Attention task to determine the neuronal dynamics associated with suppression of the activity of the VAN during top-down Attention and its recruitment when information from the unattended sensory modality is involuntarily integrated. We observed an anticipatory power increase of alpha/beta (12-20 Hz) oscillations in the VAN following a cue indicating the modality to attend. Stronger VAN power increases predicted better task performance, suggesting that the VAN suppression prevents shifting Attention to distractors. Moreover, the TPJ was synchronized with the frontal eye field in that frequency band, suggesting that the dorsal Attention Network (DAN) might participate in such suppression. Furthermore, we found a 12-20 Hz power decrease, in both the VAN and DAN, when information of both sensory modalities was congruent, suggesting an involvement of these Networks for Attention capture. Our results show that effective multimodal Attentional reorientation includes the modulation of the VAN and DAN through upper-alpha/beta oscillations. Altogether these results indicate that the suppressing role of alpha/beta oscillations might operate beyond sensory regions. SIGNIFICANCE STATEMENT Reorienting Attention to unexpected events from multiple sensory sources is essential in daily life. We explored the dynamics of the Ventral Attention Network (VAN), a set of brain regions related to Attentional reorienting, when relevant information was anticipated (i.e. during top-down Attention) and when unexpected congruent information from another sensory modality was presented (involuntary Attentional capture). We report that activity in the alpha/beta range (12-20 Hz) within the VAN indexed both top-down and Attentional capture processes. Also, the VAN was synchronized with the dorsal Attention Network in this frequency band, suggesting an integrated role of both Networks for Attentional regulation. Our results shed light on the neurophysiological mechanisms that the brain carry out for reorienting Attention to relevant environmental stimuli.
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new insights on the Ventral Attention Network inhibition and recruitment during a bimodal task
2019Co-Authors: Rodolfo Solisvivanco, Ole Jensen, Mathilde BonnefondAbstract:ABSTRACT Reorienting Attention to unexpected events is essential in daily life. fMRI studies have revealed the involvement of the Ventral Attention Network (VAN), including the temporo-parietal junction (TPJ), in such process. In this MEG study we used a bimodal (visual/auditory) Attention task to determine the neuronal dynamics associated with inhibition of the VAN during top-down Attention and its recruitment when information from the unattended sensory modality must be integrated. We observed an anticipatory power increase of alpha/beta (12-20 Hz) oscillations in the VAN following a cue indicating the modality to attend. Stronger VAN power increases predicted better task performance, suggesting that the VAN inhibition prevents shifting Attention to distractors. Moreover, the TPJ was synchronized with the frontal eye field in that frequency band, suggesting that the dorsal Attention Network (DAN) could be responsible for such inhibition. Furthermore, we found a 12-20 Hz power decrease, in both the VAN and DAN, when information of both sensory modalities was congruent, suggesting an involvement of these Networks for reorienting Attention. Our results show that effective multimodal Attentional reorientation includes the modulation of the VAN and DAN through upper-alpha/beta oscillations. Altogether these results indicate that the inhibitory role of alpha/beta oscillations operates beyond sensory regions.
Peter Stanwell - One of the best experts on this subject based on the ideXlab platform.
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functional connectivity changes in retired rugby league players a data driven functional magnetic resonance imaging study
2020Co-Authors: Xavier Guell, Sheeba Arnold Anteraper, Andrew Gardner, Susan Whitfieldgabrieli, Frances Kaylambkin, Grant L Iverson, John D E Gabrieli, Peter StanwellAbstract:There is considerable interest in the long-term brain health of retired contact and collision sport athletes; however, little is known about possible underlying changes in functional brain connectivity in this group. We evaluated whole-brain functional connectivity patterns using multi-voxel pattern analysis (MVPA) to determine whether alterations in functional connectivity distinguish retired professional athletes from a matched group of healthy community control subjects. Thirty-two retired athletes with a history of multiple self-reported sport-related concussions and 36 healthy community control subjects who were similar in age and education, completed functional magnetic resonance imaging. We identified brain regions with abnormal functional connectivity patterns using whole-brain MVPA as implemented in the Conn toolbox. First-level MVPA was performed using 64 principal component analysis (PCA) components. Second-level F test was performed using the first three MVPA components for retired athletes > controls group contrast. Post hoc seed-to-voxel analyses using the MVPA cluster results as seeds were performed to characterize functional connectivity abnormalities from brain regions identified by MVPA. MVPA revealed one cluster of abnormal functional connectivity located in cerebellar lobule V. This region of lobule V corresponded to the Ventral Attention Network. Post hoc seed-to-voxel analysis using the cerebellar MVPA cluster as a seed revealed multiple areas of cerebral cortical hyper-connectivity and hypo-connectivity in retired athletes when compared with controls. This initial report suggests that cerebellar dysfunction might be present and clinically important in some retired athletes.
Arpan Banerjee - One of the best experts on this subject based on the ideXlab platform.
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organization of directed functional connectivity among nodes of Ventral Attention Network reveals the common Network mechanisms underlying saliency processing across distinct spatial and spatio temporal scales
2021Co-Authors: Priyanka Ghosh, Dipanjan Roy, Arpan BanerjeeAbstract:Previous neuroimaging studies have extensively evaluated the structural and functional connectivity of the Ventral Attention Network (VAN) and its role in reorienting Attention in the presence of a salient (pop-out) stimulus. However, a detailed understanding of the "directed" functional connectivity within the VAN during the process of reorientation remains elusive. Functional magnetic resonance imaging (fMRI) studies have not adequately addressed this issue due to a lack of appropriate temporal resolution required to capture this dynamic process. The present study investigates the neural changes associated with processing salient distractors operating at a slow and a fast time scale using custom-designed experiment involving visual search on static images and dynamic motion tracking, respectively. We recorded high-density scalp electroencephalography (EEG) from healthy human volunteers, obtained saliency-specific behavioral and spectral changes during the tasks, localized the sources underlying the spectral power modulations with individual-specific structural MRI scans, reconstructed the waveforms of the sources and finally, investigated the causal relationships between the sources using spectral Granger-Geweke Causality (GGC). We found that salient stimuli processing, across tasks with varying spatio-temporal complexities, involves a characteristic modulation in the alpha frequency band which is executed primarily by the nodes of the VAN constituting the temporo-parietal junction (TPJ), the insula and the lateral prefrontal cortex (lPFC). The directed functional connectivity results further revealed the presence of bidirectional interactions among prominent nodes of right-lateralized VAN, corresponding only to the trials with saliency. Thus, our study elucidates the invariant Network mechanisms for processing saliency in visual Attention tasks across diverse time-scales.
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Psychophysical data to study the brain Network mechanisms involved in reorienting Attention to salient events during goal-directed visual discrimination and search tasks
2021Co-Authors: Priyanka Ghosh, Dipanjan Roy, Arpan BanerjeeAbstract:This article presents behavior and EEG dataset collected from 19 healthy human volunteers (10 females) in the age group of 21–29 (mean = 26.9, SD = ±2.15) years at National Brain Research Centre, India during a psychophysical paradigm customized to characterize the brain Network interactions during saliency processing. We provide all the raw stimulus files used in developing the experimental paradigm of the linked research article “Organization of directed functional connectivity among nodes of Ventral Attention Network reveals the common Network mechanisms underlying saliency processing across distinct spatial and spatio-temporal scales” [1] for replication and use by researchers across various cohorts of the population. Pre-processed EEG time-series segmented into epochs corresponding to three experimental trial conditions, across two visual Attention tasks testing the effect of salient distractors on goal-driven tasks are provided. The dataset also includes reaction times corresponding to individual trials. Additionally, structural MRI files corresponding to each individual and 3D EEG sensor locations of all volunteers are provided to assist in accurate source localization. Therefore, the presented dataset will not only facilitate the conventional time resolved EEG analysis like evoked activity and time-frequency analysis at the sensor level but will also facilitate the investigation of source level analysis like global coherence or phase-amplitude coupling within selected regions of the brain
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characterization of neural communication dynamics in the Ventral Attention Network across distinct spatial and spatio temporal scales
2020Co-Authors: Priyanka Ghosh, Dipanjan Roy, Arpan BanerjeeAbstract:Abstract The Ventral Attention Network (VAN) is involved in reorienting Attention from an ongoing task when a salient (pop-out) stimulus is detected in the environment. Previous neuroimaging studies have extensively evaluated the structural and functional connectivity of the VAN. However, directed effective connectivity within the Network and the neural oscillations driving it still remain elusive. Functional magnetic resonance imaging (fMRI) studies have not been able to address this issue due to lack of appropriate temporal resolution required to capture the process of reorientation. In this study, we recorded scalp electroencephalography (EEG) and behavioural data from healthy human volunteers, obtained saliency-specific spectral changes, localized the sources underlying the spectral power modulations with individual-specific structural MRI scans, reconstructed the waveforms of the sources and investigated the causal relationships between the areas of the VAN using Granger causality (GC). Using a custom-designed experiment involving visual search on static images and a dynamic motion tracking task, we investigated the neural processing of salient distractors operating at very slow and very fast time scales, respectively. Our results revealed how a task-independent but context-specific VAN encompassing the right insula, the right lateral pre-frontal cortex, the anterior and the posterior right temporo-parietal junction communicating in the alpha frequency band (8-12 Hz) supports saliency processing.
