Theta- and Gamma-Band Activity Discriminates Face, Body and Object Perception

Bossi, Francesco; Premoli, Isabella; Pizzamiglio, Sara; Balaban, Sema; Ricciardelli, Paola; Rivolta, Davide

doi:10.3389/fnhum.2020.00074

Cited by 29 publications

(35 citation statements)

References 89 publications

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“…Furthermore, the theta band has been suggested to involve in the topdown control and coordination of interregional communications 37,38 . Speci cally, theta activity plays a role in directing attention to information of motivational signi cance 39,40 . Considering the differences of the functional connectivity between the employed deviant stimuli, the current ndings seem to imply that smaller deviation from the center angle engages more top-down modulation of attention to salient features, which is then matched with relevant memory templates to comprehend the a liative context 41 .…”

Section: Discussionmentioning

confidence: 99%

“…PLIs in the delta (1-4 Hz), theta (4-8 Hz), alpha (8-13 Hz), beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) and gamma (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45) frequency band were analyzed between 100 and 400ms. The PLI determines functional connectivity by calculating the consistency in the distribution of instantaneous phase differencesΔϕ i , k (n), de ned as:…”

Section: Pli Function Connection Analysismentioning

confidence: 99%

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Differences in Global Functional Connectivity During Sound Location Processing: An Auditory MMN Study

Wang

et al. 2022

Preprint

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Our ability to localize low-frequency sounds relies on interaural time differences (ITD), the sensitivity to which underlies our ability to localize sound sources in azimuth and to segregate competing sound sources across a wide range of situations. However, the cortical representation of ITD has not been well characterized. To investigate differences in evoked cortical potentials and global functional connectivity during the unattended processing of sound localization on the horizontal plane, auditory mismatch negativity (MMN) was recorded and analyzed in adults using a deviant-standard oddball paradigm. A central sound source at the centerline of the horizontal plane (ITD = 0μs) was used as the standard stimulus and lateralized sounds with various ITDs were used as deviant stimuli. Characteristics of event-related potentials (ERP) and MMN obtained from young adults were compared between different deviant stimulus groups. The time-frequency (TF) power at each electrode associated with standard and deviant conditions were calculated. Distribution differences of electrode power between standard and deviant stimuli among oddball experiments were compared. Phase lag index (PLI) was also calculated to examine the dynamics of functional connectivity in various deviant stimulus groups. Network topological parameters were calculated to examine the global efficiency of information transfer in different deviant stimulus groups. Results of MMN analysis indicated that sounds with larger deviations from centerline elicited MMNs with greater amplitudes and shorter latencies and the MMN response was stronger in the hemisphere contralateral to the deviant stimulus. Results from the TF analysis showed a significant event-related synchronization (ERS) in the theta frequency band. Results of PLI functional connectivity suggested that the deviant stimulus resulted in a global increase in connectivity in theta band. Increased functional connectivity was found in frontal electrode pairs in sound stimuli towards the central rather than peripheral sound stimuli, and the peripheral sound stimuli revealed a higher global efficiency. This study suggests that the auditory system response in horizontal sound localization appeared to originate from the activity of the theta band. Sound sources with larger deviations from the centerline revealed higher brain network efficiency.

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Section: Discussionmentioning

confidence: 99%

Section: Pli Function Connection Analysismentioning

confidence: 99%

Differences in Global Functional Connectivity During Sound Location Processing: An Auditory MMN Study

Wang

et al. 2022

Preprint

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“…Both frequency bands have been implicated in top-down control and coordination of interregional communications, but they carry out these functions in distinct ways [15,23,50]. In particular, theta activity plays a role in directing attention to information of motivational significance, especially towards object features (e.g., crinkled eyes in a smile), as well as integrating bottom-up sensory information with top-down memory representations [50][51][52][53]. On the other hand, alpha activity is involved in information gating by inhibition, including selective attention and memory retrieval [23,[54][55][56].…”

Section: Discussionmentioning

confidence: 99%

An Effortful Approach to Social Affiliation in Schizophrenia: Preliminary Evidence of Increased Theta and Alpha Connectivity during a Live Social Interaction

Schiffman

et al. 2021

Brain Sciences

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People with schizophrenia often experience a profound lack of motivation for social affiliation—a facet of negative symptoms that detrimentally impairs functioning. However, the mechanisms underlying social affiliative deficits remain poorly understood, particularly under realistic social contexts. Here, we investigated subjective reports and electroencephalography (EEG) functional connectivity in schizophrenia during a live social interaction. Individuals with schizophrenia (n = 16) and healthy controls (n = 29) completed a face-to-face interaction with a confederate while having EEG recorded. Participants were randomly assigned to either a Closeness condition designed to elicit feelings of closeness through self-disclosure or a Small-Talk condition with minimal disclosure. Compared to controls, patients reported lower positive emotional experiences and feelings of closeness across conditions, but they showed comparably greater subjective affiliative responses for the Closeness (vs. Small-Talk) condition. Additionally, patients in the Closeness (vs. Small-Talk) condition displayed a global increase in connectivity in theta and alpha frequency bands that was not observed for controls. Importantly, greater theta and alpha connectivity was associated with greater subjective affiliative responding, greater negative symptoms, and lower disorganized symptoms in patients. Collectively, findings indicate that patients, because of pronounced negative symptoms, utilized a less efficient, top-down mediated strategy to process social affiliation.

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“…It is known that the top-down control mechanism plays an important role in face processing (Duchaine and Yovel, 2015 ; Fan et al, 2020 ). The top-down processing is associated with neuronal coupling between the frontal and posterior brain regions over theta/alpha bands (Anderson, 2011 ; Maurer et al, 2015 ; Bossi et al, 2020 ; Yin et al, 2020 ). The top-down processing during face processing is also associated with the alpha band neuronal coupling between parietal and temporal regions (Klimesch et al, 2011 ; Heyselaar et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study

et al. 2021

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Face processing is a spatiotemporal dynamic process involving widely distributed and closely connected brain regions. Although previous studies have examined the topological differences in brain networks between face and non-face processing, the time-varying patterns at different processing stages have not been fully characterized. In this study, dynamic brain networks were used to explore the mechanism of face processing in human brain. We constructed a set of brain networks based on consecutive short EEG segments recorded during face and non-face (ketch) processing respectively, and analyzed the topological characteristic of these brain networks by graph theory. We found that the topological differences of the backbone of original brain networks (the minimum spanning tree, MST) between face and ketch processing changed dynamically. Specifically, during face processing, the MST was more line-like over alpha band in 0–100 ms time window after stimuli onset, and more star-like over theta and alpha bands in 100–200 and 200–300 ms time windows. The results indicated that the brain network was more efficient for information transfer and exchange during face processing compared with non-face processing. In the MST, the nodes with significant differences of betweenness centrality and degree were mainly located in the left frontal area and ventral visual pathway, which were involved in the face-related regions. In addition, the special MST patterns can discriminate between face and ketch processing by an accuracy of 93.39%. Our results suggested that special MST structures of dynamic brain networks reflected the potential mechanism of face processing in human brain.

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Theta- and Gamma-Band Activity Discriminates Face, Body and Object Perception

Cited by 29 publications

References 89 publications

Differences in Global Functional Connectivity During Sound Location Processing: An Auditory MMN Study

Differences in Global Functional Connectivity During Sound Location Processing: An Auditory MMN Study

An Effortful Approach to Social Affiliation in Schizophrenia: Preliminary Evidence of Increased Theta and Alpha Connectivity during a Live Social Interaction

Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study

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