scholarly journals Mind-wandering Is Accompanied by Both Local Sleep and Enhanced Processes of Spatial Attention Allocation

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian Wienke ◽  
Mandy V Bartsch ◽  
Lena Vogelgesang ◽  
Christoph Reichert ◽  
Hermann Hinrichs ◽  
...  
Keyword(s):  
Search Task ◽  
Brain Activity ◽  
Target Selection ◽  
Mind Wandering ◽  
Attentional Selection ◽  
Self Report ◽  
Cortical Processing ◽  
High Frequency Activity ◽  
External Stimuli ◽  
Local Sleep

Abstract Mind-wandering (MW) is a subjective, cognitive phenomenon, in which thoughts move away from the task toward an internal train of thoughts, possibly during phases of neuronal sleep-like activity (local sleep, LS). MW decreases cortical processing of external stimuli and is assumed to decouple attention from the external world. Here, we directly tested how indicators of LS, cortical processing, and attentional selection change in a pop-out visual search task during phases of MW. Participants’ brain activity was recorded using magnetoencephalography, MW was assessed via self-report using randomly interspersed probes. As expected, the performance decreased under MW. Consistent with the occurrence of LS, MW was accompanied by a decrease in high-frequency activity (HFA, 80–150 Hz) and an increase in slow wave activity (SWA, 1–6 Hz). In contrast, visual attentional selection as indexed by the N2pc component was enhanced during MW with the N2pc amplitude being directly linked to participants’ performance. This observation clearly contradicts accounts of attentional decoupling that would predict a decrease in attention-related responses to external stimuli during MW. Together, our results suggest that MW occurs during phases of LS with processes of attentional target selection being upregulated, potentially to compensate for the mental distraction during MW.

scholarly journals Local sleep during mind-wandering enhances processes of spatial attention allocation

2020 ◽  
Author(s):  
Christian Wienke ◽  
Mandy V. Bartsch ◽  
Lena Vogelgesang ◽  
Christoph Reichert ◽  
Hermann Hinrichs ◽  
...  
Keyword(s):  
Search Task ◽  
Brain Activity ◽  
Target Selection ◽  
Mind Wandering ◽  
Attentional Selection ◽  
Self Report ◽  
Cortical Processing ◽  
High Frequency Activity ◽  
External Stimuli ◽  
Local Sleep

AbstractMind wandering (MW) is a subjective, cognitive phenomenon, in which thoughts move away from the task towards an internal train of thoughts, possibly during phases of neuronal sleep-like activity (local sleep, LS). MW decreases cortical processing of external stimuli and is assumed to decouple attention from the external world. Here, we directly tested how indicators of LS, cortical processing and attentional selection change in a pop-out visual search task during phases of MW. Participants brain activity was recorded using magnetoencephalography, MW was assessed via self-report using randomly interspersed probes. As expected, MW worsened performance being accompanied by a decrease in high frequency activity (HFA, 80-150Hz) and an increase in slow wave activity (SWA, 1-6Hz), consistent with the occurrence of LS. In contrast, visual attentional selection as indexed by the N2pc component was enhanced during MW with the N2pc amplitude being directly linked to participants’ performance. This observation clearly contradicts accounts of attentional decoupling predicting a decrease in attention-related responses to external stimuli during MW. Together our results suggest that MW occurs during phases of LS with processes of attentional target selection being upregulated, potentially to compensate for the mental distraction during MW.

scholarly journals Spontaneous default network activity reflects behavioral variability independent of mind-wandering

2016 ◽  
Vol 113 (48) ◽  
pp. 13899-13904 ◽  
Author(s):  
Aaron Kucyi ◽  
Michael Esterman ◽  
Clay S. Riley ◽  
Eve M. Valera
Keyword(s):  
Cognitive Processes ◽  
Brain Activity ◽  
Mind Wandering ◽  
Self Report ◽  
Network Activity ◽  
Behavioral Variability ◽  
Continuous Performance Task ◽  
Control Networks ◽  
Highly Active ◽  
Brain Behavior

The brain’s default mode network (DMN) is highly active during wakeful rest when people are not overtly engaged with a sensory stimulus or externally oriented task. In multiple contexts, increased spontaneous DMN activity has been associated with self-reported episodes of mind-wandering, or thoughts that are unrelated to the present sensory environment. Mind-wandering characterizes much of waking life and is often associated with error-prone, variable behavior. However, increased spontaneous DMN activity has also been reliably associated with stable, rather than variable, behavior. We aimed to address this seeming contradiction and to test the hypothesis that single measures of attentional states, either based on self-report or on behavior, are alone insufficient to account for DMN activity fluctuations. Thus, we simultaneously measured varying levels of self-reported mind-wandering, behavioral variability, and brain activity with fMRI during a unique continuous performance task optimized for detecting attentional fluctuations. We found that even though mind-wandering co-occurred with increased behavioral variability, highest DMN signal levels were best explained by intense mind-wandering combined with stable behavior simultaneously, compared with considering either single factor alone. These brain–behavior–experience relationships were highly consistent within known DMN subsystems and across DMN subregions. In contrast, such relationships were absent or in the opposite direction for other attention-relevant networks (salience, dorsal attention, and frontoparietal control networks). Our results suggest that the cognitive processes that spontaneous DMN activity specifically reflects are only partially related to mind-wandering and include also attentional state fluctuations that are not captured by self-report.

Entering the Mental Backstage: Mindfulness and Mind-Wandering among Performing Artists

2021 ◽  
Vol 15 (7) ◽  
pp. 2068-2071
Author(s):  
Avneet Kaur ◽  
Shwetha T.S
Keyword(s):  
Negative Relationship ◽  
Positive Association ◽  
Mind Wandering ◽  
Self Report ◽  
Years Of Experience ◽  
Significant Positive Association ◽  
Performing Artists ◽  
Creative Processes ◽  
Significant Negative Relationship ◽  
Significant Difference

Existing literature has explored the role of mindfulness and mind-wandering on creative processes. However, it has overlooked the diversity in the creative domains as well as the experience of the artist while accounting for their relationship. In the present study, mindfulness and mind wandering- deliberate and spontaneous were explored among performing artists, i.e. musicians, theatre artists, and dancers. The study also looked at the artists’ experience in their field. After an initial screening using a creativity tool, 66 performing artists were recruited, following which two self-report indices that assessed mind wandering and mindfulness were administered. The data collected was subjected to quantitative data analysis in SPSS. A Oneway ANOVA showed significant effect of the creative domain on mindfulness for the three groups, with a significant difference between musicians and dancers. Among the musicians, a significant negative relationship between mind wandering spontaneous and years of experience was seen. Among the dancers, there was a significant positive association between mind wandering spontaneous, mind wandering deliberate and years of experience. The current study highlighted the need to approach the study of creativity using a contextual perspective. Keywords: Creativity, Dance, Music, Theatre.

scholarly journals Refixation control in free viewing: a specialized mechanism divulged by eye-movement-related brain activity

2018 ◽  
Vol 120 (5) ◽  
pp. 2311-2324 ◽  
Author(s):  
Andrey R. Nikolaev ◽  
Radha Nila Meghanathan ◽  
Cees van Leeuwen
Keyword(s):  
Eye Movement ◽  
Visual Information ◽  
Direct Evidence ◽  
Search Task ◽  
Visual Search Task ◽  
Brain Activity ◽  
Movement Control ◽  
Planning Stage ◽  
Eye Fixations ◽  
Free Viewing

In free viewing, the eyes return to previously visited locations rather frequently, even though the attentional and memory-related processes controlling eye-movement show a strong antirefixation bias. To overcome this bias, a special refixation triggering mechanism may have to be recruited. We probed the neural evidence for such a mechanism by combining eye tracking with EEG recording. A distinctive signal associated with refixation planning was observed in the EEG during the presaccadic interval: the presaccadic potential was reduced in amplitude before a refixation compared with normal fixations. The result offers direct evidence for a special refixation mechanism that operates in the saccade planning stage of eye movement control. Once the eyes have landed on the revisited location, acquisition of visual information proceeds indistinguishably from ordinary fixations. NEW & NOTEWORTHY A substantial proportion of eye fixations in human natural viewing behavior are revisits of recently visited locations, i.e., refixations. Our recently developed methods enabled us to study refixations in a free viewing visual search task, using combined eye movement and EEG recording. We identified in the EEG a distinctive refixation-related signal, signifying a control mechanism specific to refixations as opposed to ordinary eye fixations.

scholarly journals Multivariate EEG analyses support high-resolution tracking of feature-based attentional selection

2016 ◽  
Author(s):  
Johannes Jacobus Fahrenfort ◽  
Anna Grubert ◽  
Christian N. L. Olivers ◽  
Martin Eimer
Keyword(s):  
Visual Field ◽  
Multivariate Analyses ◽  
Target Selection ◽  
Target Position ◽  
Attentional Selection ◽  
Forward Model ◽  
Hemispheric Differences ◽  
Neural Basis ◽  
Eeg Data ◽  
Feature Based

AbstractThe primary electrophysiological marker of feature-based selection is the N2pc, a lateralized posterior negativity emerging around 180-200 ms. As it relies on hemispheric differences, its ability to discriminate the locus of focal attention is severely limited. Here we demonstrate that multivariate analyses of raw EEG data provide a much more fine-grained spatial profile of feature-based target selection. When training a pattern classifier to determine target position from EEG, we were able to decode target positions on the vertical midline, which cannot be achieved using standard N2pc methodology. Next, we used a forward encoding model to construct a channel tuning function that describes the continuous relationship between target position and multivariate EEG in an eight-position display. This model can spatially discriminate individual target positions in these displays and is fully invertible, enabling us to construct hypothetical topographic activation maps for target positions that were never used. When tested against the real pattern of neural activity obtained from a different group of subjects, the constructed maps from the forward model turned out statistically indistinguishable, thus providing independent validation of our model. Our findings demonstrate the power of multivariate EEG analysis to track feature-based target selection with high spatial and temporal precision.Significance StatementFeature-based attentional selection enables observers to find objects in their visual field. The spatiotemporal profile of this process is difficult to assess with standard electrophysiological methods, which rely on activity differences between cerebral hemispheres. We demonstrate that multivariate analyses of EEG data can track target selection across the visual field with high temporal and spatial resolution. Using a forward model, we were able to capture the continuous relationship between target position and EEG measurements, allowing us to reconstruct the distribution of cortical activity for target locations that were never shown during the experiment. Our findings demonstrate the existence of a temporally and spatially precise EEG signal that can be used to study the neural basis of feature-based attentional selection.

Sincere praise and flattery: Reward value and association with the praise-seeking trait

2021 ◽  
Author(s):  
Shotaro Fujiwara ◽  
Ryo Ishibashi ◽  
Azumi Tanabe-Ishibashi ◽  
Ryuta Kawashima ◽  
Motoaki Sugiura
Keyword(s):  
Negative Feedback ◽  
Search Task ◽  
Visual Search Task ◽  
Brain Activity ◽  
Self Esteem ◽  
Posterior Cingulate Cortex ◽  
Communication Effectiveness ◽  
Lower Activation ◽  
The Right ◽  
Emotional Effects

Sincere praise reliably conveys positive or negative feedback, while flattery always conveys positive but unreliable feedback. These two praise types have not been compared in terms of communication effectiveness and individual preferences using neuroimaging. Through functional magnetic resonance imaging, we measured brain activity when healthy young participants received sincere praise or flattery after performing a visual search task. Higher activation was observed in the right nucleus accumbens during sincere praise than during flattery, and praise reliability correlated with posterior cingulate cortex activity, implying a motivational effect of sincere praise. In line with this, sincere praise uniquely activated several cortical areas potentially involved in concern regarding others' evaluations. A high praise-seeking tendency was associated with lower activation of the inferior parietal sulcus during sincere praise compared to flattery after poor task performance, potentially reflecting suppression of negative feedback to maintain self-esteem. In summary, the neural dynamics of the motivational and socio-emotional effects of praise differed.

An EEG study of the combined effects of top-down and bottom-up attentional selection under varying task difficulty

2021 ◽  
Author(s):  
Einat Rashal ◽  
Mehdi Senoussi ◽  
Elisa Santandrea ◽  
Suliann Ben Hamed ◽  
Emiliano Macaluso ◽  
...  
Keyword(s):  
Visual Search ◽  
Attentional Control ◽  
Task Difficulty ◽  
Target Selection ◽  
Attentional Selection ◽  
Combined Effects ◽  
Top Down ◽  
Bottom Up ◽  
Search Tasks

This work reports an investigation of the effect of combined top-down and bottom-up attentional control sources, using known attention-related EEG components that are thought to reflect target selection (N2pc) and distractor suppression (PD), in easy and difficult visual search tasks.

The effects of audiovisual task-set in visual search

2012 ◽  
Vol 25 (0) ◽  
pp. 158
Author(s):  
Pawel J. Matusz ◽  
Martin Eimer
Keyword(s):  
Visual Search ◽  
Search Task ◽  
Target Selection ◽  
Top Down ◽  
Search Tasks ◽  
Attentional Control Settings ◽  
Sensory Modalities ◽  
Attentional Selectivity ◽  
Auditory Features ◽  
Target Matching

We investigated whether top-down attentional control settings can specify task-relevant features in different sensory modalities (vision and audition). Two audiovisual search tasks were used where a spatially uninformative visual singleton cue preceded a target search array. In different blocks, participants searched for a visual target (defined by colour or shape in Experiments 1 and 2, respectively), or target defined by a combination of visual and auditory features (e.g., red target accompanied by a high-pitch tone). Spatial cueing effects indicative of attentional capture by target-matching visual singleton cues in the unimodal visual search task were reduced or completely eliminated when targets were audiovisually defined. The N2pc component (i.e. index attentional target selection in vision) triggered by these cues was reduced and delayed during search for audiovisual as compared to unimodal visual targets. These results provide novel evidence that the top-down control settings which guide attentional selectivity can include perceptual features from different sensory modalities.

scholarly journals Brain Activity in Self- and Value-Related Regions in Response to Online Antismoking Messages Predicts Behavior Change

2015 ◽  
Vol 27 (3) ◽  
pp. 93-109 ◽  
Author(s):  
Nicole Cooper ◽  
Steve Tompson ◽  
Matthew Brook O’Donnell ◽  
B. Falk Emily
Keyword(s):  
Behavior Change ◽  
Risk Perceptions ◽  
Brain Activity ◽  
Smoking Behavior ◽  
Mechanistic Explanation ◽  
Health Behavior Change ◽  
Brain Regions ◽  
Self Report ◽  
Traditional Theory ◽  
And Behavior

Abstract. In this study, we combined approaches from media psychology and neuroscience to ask whether brain activity in response to online antismoking messages can predict smoking behavior change. In particular, we examined activity in subregions of the medial prefrontal cortex linked to self- and value-related processing, to test whether these neurocognitive processes play a role in message-consistent behavior change. We observed significant relationships between activity in both brain regions of interest and behavior change (such that higher activity predicted a larger reduction in smoking). Furthermore, activity in these brain regions predicted variance independent of traditional, theory-driven self-report metrics such as intention, self-efficacy, and risk perceptions. We propose that valuation is an additional cognitive process that should be investigated further as we search for a mechanistic explanation of the relationship between brain activity and media effects relevant to health behavior change.

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