SemOpenAlex |

SemOpenAlex

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3182925072> ?p ?o ?g. }

Showing items 1 to 59 of 59 with 100 items per page.

W3182925072 abstract "Article Figures and data Abstract Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract Lateral habenula is believed to encode negative motivational stimuli and plays key roles in the pathophysiology of psychiatric disorders. However, how habenula activities are modulated during the processing of emotional information is still poorly understood. We recorded local field potentials from bilateral habenula areas with simultaneous cortical magnetoencephalography in nine patients with psychiatric disorders during an emotional picture-viewing task. Transient activity in the theta/alpha band (5–10 Hz) within the habenula and prefrontal cortical regions, as well as the coupling between these structures, is increased during the perception and processing of negative emotional stimuli compared to positive emotional stimuli. The increase in theta/alpha band synchronization in the frontal cortex-habenula network correlated with the emotional valence but not the arousal score of the stimuli. These results provide direct evidence for increased theta/alpha synchrony within the habenula area and prefrontal cortex-habenula network in the perception of negative emotion in human participants. Introduction The habenula is an epithalamic structure that functionally links the forebrain with the midbrain structures that are involved in the release of dopamine (i.e., the substantia nigra pars compacta and the ventral tegmental area) and serotonin (i.e., raphe nucleus) (Wang and Aghajanian, 1977; Herkenham and Nauta, 1979; Hikosaka et al., 2008; Hong et al., 2011; Proulx et al., 2014; Hu et al., 2020). As a region that could influence both the dopaminergic and serotonergic systems, the habenula is thought to play a key role in not only sleep and wakefulness but also in regulating various emotional and cognitive functions. Animal studies showed that activities in lateral habenula (LHb) increased during the processing of aversive events such as omission of predicted rewards, and stimuli provoking anxiety, stress, pain and fear (Matsumoto and Hikosaka, 2007; Hikosaka, 2010; Yamaguchi et al., 2013; Hu et al., 2020). Hyperexcitability and dysfunction of the LHb have been implicated in the development of psychiatric disorders including depressive disorder and bipolar disorders (Fakhoury, 2017; Yang et al., 2018b). In rodents, LHb firing rate and metabolism is elevated in parallel with depressive-like phenotypes such as reduction in locomotor and rearing behaviors (Caldecott-Hazard et al., 1988). Habenula activities also increase during acquisition and recall of conditioned fear (González-Pardo et al., 2012). In human participants, high-resolution magnetic resonance imaging has revealed smaller habenula volume in patients with depressive and bipolar disorders (Savitz et al., 2011a). Dysfunction of the LHb has also been involved in different cognitive disorders, such as schizophrenia (Shepard et al., 2006) and addiction (Velasquez et al., 2014). More direct evidence of the involvement of the LHb in psychiatric disorders in humans comes from deep brain stimulation (DBS) of the LHb that has potential therapeutic effects in treatment-resistant depression, bipolar disorder, and schizophrenia (Sartorius et al., 2010; Zhang et al., 2019; Wang et al., 2020). However, how habenula activities are modulated during the processing of emotional information in humans is still poorly understood. The processing of emotional information is crucial for an individual’s mental health and has a substantial influence on social interactions and different cognitive processes. Dysfunction and dysregulation of emotion-related brain circuits may precipitate mood disorders (Phillips et al., 2003b). Investigating the neural activities in response to emotional stimuli in the cortical-habenula network is crucial to our understanding of emotional information processing in the brain. This might also shed light on how to modulate habenula in the treatment of psychiatric disorders. In this study, we utilize the unique opportunity offered by DBS surgery targeting habenula as a potential treatment for psychiatric disorders. We measured local field potentials (LFPs) from the habenula area using the electrodes implanted for DBS in patients during a passive emotional picture-viewing task (Figure 1; Materials and methods). Whole-brain magnetoencephalography (MEG) was simultaneously recorded. This allowed us to investigate changes in the habenula neural activity and its functional connectivity with cortical areas induced by the stimuli of different emotional valence. The high temporal resolution of the LFP and MEG measurements also allowed us to evaluate how local activities and cross-region connectivity change over time in the processing of emotional stimuli. Previous studies on rodent models of depression showed that, during the depression-like state in rodents, LHb neuron firing increased with the mean firing rate at the theta band (Li et al., 2011) and LHb neurons fire in bursts and phase locked to local theta band field potentials (Yang et al., 2018a). Therefore, we hypothesize that theta band activity in the habenula LFPs in humans would increase in response to negative emotional stimuli. Figure 1 Download asset Open asset Experimental paradigm and ratings (valence and arousal) of the presented pictures. (A) Timeline of one individual trial: each trial started with a white cross (‘+’) presented with black background for 1 s, indicating the participants to get ready and pay attention; then a picture was presented in the center of the screen for 2 s. This was followed by a blank black screen presented for 3–4 s (randomized). (B) Valence and arousal ratings for figures of the three emotional categories presented to the participants. Valence: 1 = very negative; 9 = very positive; arousal: 1 = very clam; 9 = very exciting. Error bars indicate the standard deviation of the corresponding mean across participants (N = 9). Results Spontaneous oscillatory activity in the habenula during rest includes theta/alpha oscillations Electrode trajectories and contact positions of all recorded patients in this study were reconstructed using the Lead-DBS toolbox (Horn and Kühn, 2015) and shown in Figure 2A. The peak frequency of the oscillatory activities during rest for each electrode identified using the Fitting Oscillations and One-Over-F (FOOOF) algorithm (Haller et al., 2018; Donoghue et al., 2020) is presented in Table 1. We detected the power of oscillatory activities peaking in the theta/alpha frequency range (here defined as 5–10 Hz) in 13 out of the 18 recorded habenula during rest compared to 7 of the 18 recorded habenula with peaks in beta band (12–30 Hz) (Figure 2B). The average peak frequency was 8.2 ± 1.1 Hz (ranges from 6.1 Hz to 10 Hz) for theta/alpha, and 15.1 ± 1.8 Hz (ranges from 12.5 Hz to 16.9 Hz) for beta band (Figure 2C). 3 out of the 18 recorded habenula showed oscillatory activities in both theta/alpha and beta bands. Figure 2D–F shows the position of the electrodes with only theta/alpha band peaks, with only beta peaks in both sides (Case 3), with both theta/alpha and beta band peaks during rest (Case 6), respectively. The electrodes from which only alpha/theta peaks were detected are well placed in the habenula area. Figure 2 Download asset Open asset Electrode location and spectral characteristics of local field potentials from recorded habenula at rest. (A) Electrode locations reconstructed using Lead-DBS, with the structures colored in light blue for the habenula, purple for the caudate nucleus, light green for the red nucleus, and yellow for subthalamic nucleus. (B) The log-transformed oscillatory power spectra fitted using fooof method (after removing the non-oscillatory 1/f components). The bold blue line and shadowed region indicates the mean ± SEM across all recorded hemispheres, and the thin gray lines show measurements from individual hemispheres. (C) Boxplot showing the peak frequencies at theta/alpha and beta frequency bands from all recorded habenula. (D) Positions of the electrodes with theta peaks only during rest. (E) Electrode positions for Case 3, in whom only beta band peaks were detected in the resting activities from both sides. (F) Electrode positions for Case 6, in whom both theta and beta band peaks were present in resting activities from both sides. Figure 2—source data 1 Source data for generating Figure 2B, C. https://cdn.elifesciences.org/articles/65444/elife-65444-fig2-data1-v1.mat Download elife-65444-fig2-data1-v1.mat Table 1 Characteristics of enrolled subjects. PatientSexAge (years)Duration (years)DiseaseHAMD scoreBDI scoreResting oscillation peaksLR1M215SchizNA329.1 Hz9.8 Hz2M215Dep12107.9 Hz8.4 Hz3M4410Bipolar232214.3 Hz15.9 Hz4F194SchizNANA10 Hz8.1 Hz5M213Dep24387.1 Hz16.9 Hz6M162SchizNA349.2 Hz; 13.0 Hz7.2 Hz; 12.5 Hz7F308Bipolar21336.1 Hz7.8 Hz8F2813Dep2837No peak8.0 Hz9M3520Dep253416.2 Hz7.9 Hz; 16.0 Hz Hab: habenula; F: female; M: male; Dep: depressive disorder; Bipolar: bipolar disorder; Schiz: schizophrenia; HAMD: Hamilton Depression Rating Scale (17 items); BDI: Beck Depression Inventory; Both HAMD and BDI were acquired before the surgery. NA: not available. Transient theta/alpha activity in the habenula is differentially modulated by stimuli with positive and negative emotional valence The power spectra normalized to the baseline activity (−2000 to −200 ms) showed a significant event-related synchronization (ERS) in the habenula spanning across 2–30 Hz from 50 to 800 ms after the presentation of all stimuli (pcluster < 0.05, Figure 3A–C). Permutation tests were applied to the power spectra in response to the negative and positive emotional pictures from all subjects. This identified two clusters with significant difference for the two emotional valence conditions: one in the theta/alpha range (5–10 Hz) at short latency (from 100 to 500 ms, Figure 3D, E) after stimulus presentation and another in the theta range (4–7 Hz) at a longer latency (from 2700 to 3300 ms, Figure 3D, F), with higher increase in the identified frequency bands with negative stimuli compared to positive stimuli in both clusters. The power of the activity at the identified frequency band for the neutral condition sits between the values for the negative condition and positive condition in both identified time windows (Figure 3G, H). It should be noted that there was an increase in a broadband activity at short latency (from 100 to 500 ms) after the stimuli onset (Figure 3A–C). This raises the question as to whether the emotional valence-related modulation observed in Figure 3D, especially the cluster at short latency, reflects a modulation of oscillations, which is not phase-locked to stimulus onset, or, alternatively, is it attributable to an evoked event-related potential (ERP). To address this question, we quantified the ERP for each emotional valence condition for each habenula. There was no significant difference in ERP latency or amplitude caused by different emotional valence stimuli (Figure 3—figure supplement 1). In addition, when only considering the non-phase-locked activity by removing the ERP from the time series before frequency-time decomposition, the emotional valence effect (presented in Figure 3—figure supplement 2) is very similar to those shown in Figure 3. These additional analyses demonstrated that the emotional valence effect in the LFP signal is more likely to be driven by non-phase-locked (induced only) activity, even though the possibility of the contribution from transient evoked potentials still cannot be completed excluded. Therefore, we refer to the activities in the habenula LFPs that are modulated by emotional valence at short latency after stimulus onset as ‘activity’ rather than ‘oscillations'. Figure 3 with 2 supplements see all Download asset Open asset Habenular theta/alpha activity is differentially modulated by stimuli with positive and negative emotional valence (N = 18 habenula local field potential samples from nine subjects). (A–C) Time-frequency representations of the power response relative to pre-stimulus baseline (−2000 to −200 ms) for neutral (A), positive (B), and negative (C) valence stimuli, respectively. Significant clusters (p<0.05, non-parametric permutation test) are encircled with a solid black line. (D) Time-frequency representation of the power response difference between negative and positive valence stimuli, showing significant increased activity of the theta/alpha band (5–10 Hz) at short latency (100–500 ms) and another increased theta activity (4–7 Hz) at long latencies (2700–3300 ms) with negative stimuli (p<0.05, non-parametric permutation test). (E, F) Normalized power of the activities at theta/alpha (5–10 Hz) and theta (4–7 Hz) band over time. Significant difference between the negative and positive valence stimuli is marked by a shadowed bar (p<0.05, t-test corrected for multiple comparison). (G, H) The average spectral power relative to baseline activity in the identified time period and frequency band for different emotional valence conditions (5–10 Hz, 100–500 ms; 4–7 Hz, 2700–3300 ms). Significant difference was observed in theta/alpha power at 100–500 ms between neutral and positive condition (t-value = 2.4312, p=0.0274, 95% CI of the difference: [1.3203 18.6235]), between negative and positive condition (t-value = 4.5010, p=0.002, 95% CI of the difference: [8.0741 22.6561]), in theta power at 2700–3300 ms between negative and positive condition (t-value = 3.6944, p=0.0045, 95% CI of the difference: [8.8765 32.3104]). Figure 3—source data 1 Source data for generating Figure 3. https://cdn.elifesciences.org/articles/65444/elife-65444-fig3-data1-v1.mat Download elife-65444-fig3-data1-v1.mat Theta/alpha activity in the prefrontal cortex is also differentially modulated by stimuli with positive and negative emotional valence For cortical activities measured using MEG, we first computed the time-frequency power spectra normalized to the baseline activity (−2000 to −200 ms) averaged across all MEG frontal sensors highlighted in Figure 4A for different stimulus emotional valence conditions for each recorded participant. The average power spectra across eight participants for different valence conditions are shown in Figure 4B. Permutation test applied to the power spectra in response to the negative and positive emotional pictures from all subjects identified clusters with significant differences (pcluster < 0.05) in the theta/alpha range at short latency (from 100 to 500 ms after stimulus onset) (Figure 4C). Subsequent cluster-based permutation statistical analysis of power changes over the identified frequency band (5–10 Hz) and time window (100–500 ms) confirmed significantly increased activity with negative stimuli in frontal sensors only (Figure 4D). Figure 4 Download asset Open asset Theta/alpha oscillations in the prefrontal cortex are differentially modulated by stimuli with positive and negative emotional valence (N = 8 magnetoencephalography [MEG] samples from eight subjects). (A) Layout of the MEG sensor positions and selected frontal sensors (dark spot). (B) Time-frequency representation of the power changes relative to pre-stimulus baseline for neutral, positive, and negative stimuli averaged across frontal sensors (time 0 for stimuli onset). (C) Non-parametric permutation test showed clusters in the theta/alpha band at short latency after stimuli onset with significant difference (p<0.05) comparing negative and positive stimuli across frontal sensors. (D) Scalp plot showing the power in the 5–10 Hz theta/alpha band activity at 100–500 ms after the onset of positive (left), negative (middle) stimuli, and statistical t-values and sensors with significant difference (right) at a 0.05 significance level (corrected for whole-brain sensors). Figure 4—source data 1 Source data for generating Figure 4. https://cdn.elifesciences.org/articles/65444/elife-65444-fig4-data1-v1.mat Download elife-65444-fig4-data1-v1.mat Next, we used a frequency-domain beamforming approach and statistics over eight subjects to identify the source of the difference in MEG theta/alpha reactivity within the 100–500 ms time window at the corrected significance threshold of p<0.05 with cluster-based permutation statistical analysis. We found two main significant source peaks with one in the right prefrontal cortex (PFC) (corresponding to Brodmann area 10, right superior frontal gyrus, MNI coordinate [16, 56, 0]; t-value = 4.14, p=0.046, corrected) (Figure 5A), and the other in the left PFC (corresponding to Brodmann area 9, left middle frontal gyrus, MNI coordinate [−32, 38, 28]; t-value = 3.21, p=0.046, corrected) (Figure 5B). No voxels within identified areas in Figure 5 showed any significant difference in the pre-cue baseline period, suggesting that the observed difference in the theta/alpha power reactivity was not due to difference in the baseline power between the two emotional valence conditions. Similar method has effectively identified the contralateral motor cortex as the source of modulation in the beta frequency band during button pressing movements, as shown in Figure 5—figure supplement 1. Figure 5 with 1 supplement see all Download asset Open asset Statistical source maps of t-values (p<0.05; corrected for whole brain) for the comparison of magnetoencephalography (MEG) theta/alpha band (5–10 Hz) power reactivity to negative vs. positive emotional valence stimuli across subjects (N = 8 MEG samples from eight subjects). Dynamic imaging of coherent source beamformer was applied to the average theta/alpha band power changes from 100 to 500 ms after stimulus onset. The image was transformed to MNI template space and overlaid on the template structural image. The peak emotional valence-induced differences in the theta/alpha power were localized in the right Brodmann area 10, MNI coordinate [16, 56, 0] (shown in Plot A) and left Brodmann area 9, MNI coordinate [−32, 38, 28] (shown in Plot B). Figure 5—source data 1 Source data for generating Figure 5. https://cdn.elifesciences.org/articles/65444/elife-65444-fig5-data1-v1.zip Download elife-65444-fig5-data1-v1.zip Cortical-habenular coherence is also differentially modulated by stimuli with positive and negative emotional valence In addition, we asked how the coupling between habenula and cortex in the theta/alpha activity is modulated over time in the task and how the coupling changes with the valence of the presented stimuli. The cross-trial time-varying coherence between each MEG sensor and the habenula LFP was first calculated for each emotional valence condition, then averaged across all MEG sensors in each emotional valence condition for each habenula. Comparing the time-varying cortical-habenula coherence for the negative and positive emotional valence conditions across all recorded habenula (N = 16 from eight subjects with MEG recordings) showed increased coherence with negative stimulus in the theta/alpha band (5–10 Hz) in the time window of 800–1300 ms (paired t-test, df = 15, p<0.05, uncorrected, Figure 6A). We also performed the same analysis for cross-trial cortical-habenula coherence averaged across prefrontal channels and occipital channels separately. The emotional valence effect on the coherence was only observed in the frontal channels not in the occipital channels, as shown in Figure 6—figure supplement 1. Subsequent non-parametric cluster-based permutation statistical analysis of the coherence changes in this frequency band and selected time window (800–1300 ms) across the scalp revealed significantly increased coherence with negative stimuli over right frontal and temporal areas (N = 16, Figure 6B). Linear mixed-effect modeling confirmed significant effect of the increase in the theta/alpha band PFC-habenular coherence (relative to the pre-stimulus baseline) during this time window (800–1300 ms) on the theta power increase in the habenula at the later time window (2700–3300 ms after stimuli onset) (k = 0.2434 ± 0.1031 (95% confidence interval [0.0358 0.4509]), p=0.0226, R2 = 0.104; Figure 6C). The non-parametric permutation test that is robust to outliers was also used to evaluate the correlation between the theta power and coherence when data from all participants and all emotional conditions were considered together. This confirmed significant correlation as well (R = 0.3224 (95% confidence interval: [0.0422 0.5557]), p=0.03). On the other hand, when data from different emotional conditions were considered separately, none of the separate correlations between theta coherence at 800–1300 ms and habenula theta power at 2700–3300 ms were significant: (R = 0.3405 (95% confidential interval: [−0.1867 0.7154]), p=0.2020 for neutral; R = 0.3846 (95% confidential interval: [−0.1373 0.7394]), p=0.1474 for positive; R = −0.1655 (95% confidential interval: [−0.6111 0.3597]), p=0.5474 for negative). In addition, we tested whether this coherence-power correlation was specific to the time window identified based on Figure 6A. To do so, we quantified the correlation between the habenula theta power at 2700–3300 ms and the habenula-PFC theta coherence at −200–300 ms, 300–800 ms, 1300–1800 ms, and 1800–2300 ms separately. None of the habenula-PFC coherences at other time windows correlated with habenula theta at 2700–3300 ms. We acknowledge that the effect shown in Figure 6C is weak and would not survive correction for multiple comparison. However, the selection of time window for the test shown in Figure 6C was based on the previous test shown in Figure 6A, not based on multiple tests. Figure 6 with 1 supplement see all Download asset Open asset Cortical-habenular coherence in the theta/alpha band is also differentially modulated by stimuli with positive and negative emotional valence (N = 16 local field potential-magnetoencephalography [LFP-MEG] combination samples from eight subjects). (A) Time-varying theta (5–10 Hz) habenula-cortical coherence changes relative to pre-cue baseline averaged across all MEG channel combinations for each recorded habenula. The thick colored lines and shaded area show the mean and standard error across all recorded habenula. The coherence was significantly higher at 800–1300 ms after the onset of negative emotional stimuli compared to positive stimuli (rectangular shadow showing the time window with p<0.05). (B) Scalp plot showing the cortical-habenula coherence in the theta band during the identified time window (800–1300 ms) for positive stimuli (left), negative stimuli (middle), and statistical t-values and sensors with significant difference (right) masked at p<0.05 (corrected for whole-brain sensors). (C) The increase in the theta band coherence between right frontal cortex and habenula at 800–1300 ms correlated with the theta increase in habenula at 2700–3300 ms after stimuli onset. (D) Statistical source maps of t-values (p<0.05; uncorrected) for the comparison of theta/alpha coherence response in the time window of 800–1300 ms between negative stimuli with positive stimuli. The peak coherence differences were mainly localized in the right Brodmann area 10, MNI coordinate [10, 64, 12]. Figure 6—source data 1 Source data for generating Figure 6. https://cdn.elifesciences.org/articles/65444/elife-65444-fig6-data1-v1.zip Download elife-65444-fig6-data1-v1.zip Source localization of the theta/alpha habenula-cortical coherence difference for negative and positive stimuli revealed that theta/alpha coherence was higher with negative stimuli in right frontal regions, indicated in Figure 6D. The location of the peak t-statistic (t-value = 5.73, p=0.001, uncorrected) corresponds to MNI coordinate [10, 64, 12] and the region encompasses right medial PFC. Increased theta/alpha synchrony in the PFC-habenula network correlated with emotional valence, not arousal It should be noted that there was co-variation between emotional valence and arousal in the stimuli presented (Figure 1B), and previous studies have shown that some neural activity changes in response to the viewing of affective pictures can be mediated by the effect of stimulus arousal (Huebl et al., 2014; Huebl et al., 2016). Therefore, we used linear mixed-effect modeling to assess whether the increased transient theta/alpha activity we observed in the habenula, the PFC, and in the PFC-habenula coherence in response to the viewing of negative compared to positive emotional pictures should be attributed to the emotional valence or the stimulus arousal. The nonlinear and non-monotonic relationship between arousal scores and the emotional valence scores shown in Figure 1B allowed us to differentiate the effect of the valence from arousal. The models identified significant fixed effects of valence on all the reported changes in the PFC-habenula network, but there was no effect of arousal (Table 2 for the modeling and results). The negative effects of valence indicate that the lower the emotional valence score (more negative) of the presented stimuli, the higher the theta/alpha increase within the habenula, the PFC, and in the PFC-habenula theta band coherence, as shown in Figure 7. Figure 7 Download asset Open asset Scatter plots showing how early theta/alpha band power increase in the frontal cortex (A) theta/alpha band frontal cortex-habenula coherence (B) and theta band power increase at a later time window in habenula (C) changed with emotional valence (left column) and arousal (right column). Each dot shows the average of one participant in each categorical valence condition, which are also the source data of the multilevel modeling results presented in Table 2. The estimated correlation coefficient R and 95% confidence interval (CI), as well as the p value in the figure, are the results of partial correlation considering all data points together. Figure 7—source data 1 Source data for generating Figure 7 and Table 2. https://cdn.elifesciences.org/articles/65444/elife-65444-fig7-data1-v1.mat Download elife-65444-fig7-data1-v1.mat Table 2 Linear mixed effect modeling details. IDModelFixed effect of valenceFixed effect of arousalR2k-Value95% CIp-Valuek-Value95% CIp-Value1HabTheta1∼ Valence+Arousal+1|SubID−2.8044 ± 0.9840[−4.7800,–0.8289]0.0063−2.5221 ± 2.5363[−7.6139, 2.5697]0.32470.61912HabTheta2∼ Valence+Arousal+1|SubID−4.4526 ± 1.1753[−6.8121,–2.0932]0.00040.1975 ± 3.0295[−5.8844, 6.2794]0.94830.25573PFC_Theta∼ Valence+Arousal+1|SubID−2.8921 ± 1.0221[−4.9507,–0.8334]0.0069−3.6237 ± 2.6252[−8.9112, 1.6637]0.17430.43684rPFC_Hab_Coh∼ Valence+Arousal+1|SubID−6.1031 ± 1.6785[−9.4837,–2.7225]0.00073.5242 ± 4.3112[−5.1589, 12.2074]0.41800.2766 HabTheta1: theta/alpha band (5–10 Hz) in habenula LFPs at 100–500 ms ; HabTheta2: theta band (4–7 Hz) in habenula LFPs at 2700–3300 ms; PFC_Theta: theta/alpha band (5–10 Hz) averaged across frontal sensors at 100–500 ms; rPFC_Hab_Coh: theta/alpha band (5–10 Hz) coherence between right PFC and habenula at 800–1300 ms; Valence: valence value for the displayed pictures (1 = unpleasant -> 5 = neutral -> 9 = pleasant); Arousal: arousal value of the displayed pictures (1 = calm -> 9 = exciting); LFP: local field potential; PFC: prefrontal cortex. Furthermore, we also investigated the relationship between the neural characteristics we observed and the clinical symptoms. However, none of the electrophysiological effects we observed correlated with clinical scores of depression (the Beck Depression Inventory score or Hamilton Depression Rating Scale score) measured before the surgery across patients after correcting for multiple correction. Discussion This study has showed that neural activities in the theta/alpha frequency band within the habenula and prefrontal cortical regions, as well as the connectivity between these structures in the same frequency band, are modulated in an emotional picture-viewing task in human participants. Compared with positive emotional stimuli, negative emotional stimuli were associated with higher transient increase in theta/alpha activity in both habenula and bilateral frontal cortex with a short latency (from 100 to 500 ms) after stimulus onset. Furthermore, higher theta/alpha coherence between habenula and right PFC was observed at 800–1300 ms after the stimulus onset, which was correlated with another increase in theta power in the habenula with a long latency (from 2700 to 3300 ms) after stimulus onset. These changes correlated with the emotional valence but not with the stimulus arousal of the presented figures. These activity changes at different time windows may reflect the different neuropsychological processes underlying emotion perception including identification and appraisal of emotional material, production of affective states, and autonomic response regulation and recovery (Phillips et al., 2003a). The later effects of increased theta activities in the habenula when the stimuli disappeared were also supported by other literature showing that there can be prolonged effects of negative stimuli in the neural structure involved in emotional processing (Haas et al., 2008; Puccetti et al., 2021). In particular, greater sustained patterns of brain activity in the medial PFC when responding to blocks of negative facial expressions were associated with higher scores of neuroticism across participants (Haas et al., 2008). Slower amygdala recovery from negative images also predicts greater trait neuroticism, lower levels of likability of a set of social stimuli (neutral faces), and declin" @default.
W3182925072 created "2021-07-19" @default.
W3182925072 creator A5040905404 @default.
W3182925072 creator A5048405025 @default.
W3182925072 creator A5079095273 @default.
W3182925072 date "2021-02-07" @default.
W3182925072 modified "2023-09-25" @default.
W3182925072 title "Decision letter: Increased theta/alpha synchrony in the habenula-prefrontal network with negative emotional stimuli in human patients" @default.
W3182925072 doi "https://doi.org/10.7554/elife.65444.sa1" @default.
W3182925072 hasPublicationYear "2021" @default.
W3182925072 type Work @default.
W3182925072 sameAs 3182925072 @default.
W3182925072 citedByCount "0" @default.
W3182925072 crossrefType "peer-review" @default.
W3182925072 hasAuthorship W3182925072A5040905404 @default.
W3182925072 hasAuthorship W3182925072A5048405025 @default.
W3182925072 hasAuthorship W3182925072A5079095273 @default.
W3182925072 hasBestOaLocation W31829250721 @default.
W3182925072 hasConcept C138496976 @default.
W3182925072 hasConcept C15744967 @default.
W3182925072 hasConcept C169760540 @default.
W3182925072 hasConcept C169900460 @default.
W3182925072 hasConcept C171606756 @default.
W3182925072 hasConcept C180747234 @default.
W3182925072 hasConcept C2780374578 @default.
W3182925072 hasConcept C2781195155 @default.
W3182925072 hasConcept C3018888245 @default.
W3182925072 hasConcept C49453240 @default.
W3182925072 hasConcept C529278444 @default.
W3182925072 hasConcept C64943373 @default.
W3182925072 hasConceptScore W3182925072C138496976 @default.
W3182925072 hasConceptScore W3182925072C15744967 @default.
W3182925072 hasConceptScore W3182925072C169760540 @default.
W3182925072 hasConceptScore W3182925072C169900460 @default.
W3182925072 hasConceptScore W3182925072C171606756 @default.
W3182925072 hasConceptScore W3182925072C180747234 @default.
W3182925072 hasConceptScore W3182925072C2780374578 @default.
W3182925072 hasConceptScore W3182925072C2781195155 @default.
W3182925072 hasConceptScore W3182925072C3018888245 @default.
W3182925072 hasConceptScore W3182925072C49453240 @default.
W3182925072 hasConceptScore W3182925072C529278444 @default.
W3182925072 hasConceptScore W3182925072C64943373 @default.
W3182925072 hasLocation W31829250721 @default.
W3182925072 hasOpenAccess W3182925072 @default.
W3182925072 hasPrimaryLocation W31829250721 @default.
W3182925072 hasRelatedWork W1971289253 @default.
W3182925072 hasRelatedWork W2020741738 @default.
W3182925072 hasRelatedWork W2073763059 @default.
W3182925072 hasRelatedWork W2134318833 @default.
W3182925072 hasRelatedWork W2340467567 @default.
W3182925072 hasRelatedWork W2775257791 @default.
W3182925072 hasRelatedWork W2800343910 @default.
W3182925072 hasRelatedWork W2950254639 @default.
W3182925072 hasRelatedWork W2969334401 @default.
W3182925072 hasRelatedWork W3006252764 @default.
W3182925072 isParatext "false" @default.
W3182925072 isRetracted "false" @default.
W3182925072 magId "3182925072" @default.
W3182925072 workType "peer-review" @default.