Frontal Electroencephalography Asymmetry and Desynchronized Functional Connectivity Associated with Long-Term and Short-Term Breathing Training
Open accessAbstract
Objectives Breathing training is a common intervention in self-help training and mindfulness practices. The positive effects on mental health are likely because of the development of emotion regulation. Neuroscientific evidence has shown that emotion regulation can be based on approach or withdrawal motivation, characterized by neurological frontal asymmetry. This study examined the role of emotion regulation in long- versus short-term breathing training with electroencephalography-based asymmetric frontal functional connectivity and spectral power evidence in two studies. Study 1 investigated the long-term effects of an 8-week mindfulness training. Study 2 explored neural changes associated with two common breathing training styles: passive guided breathing and active breath counting. Method Study 1 analyzed data from 31 participants (mindfulness group n = 17, control group n = 14) who either completed the 8-week mindfulness training or served as controls to examine the neural long-term effects. Study 2 involved 51 participants in a cross-sectional experiment after practicing different breathing training styles, which were delivered through a virtual reality platform. We calculated atlas-based functional connectivity and evaluated differences between long and short term. Results Study 1 revealed that the long-term breathing training practitioners exhibited significantly reduced delta and alpha functional connectivity, mainly in the left frontal region. Study 2 found that participants practicing breath counting exhibited significantly reduced gamma functional connectivity in the left frontal region. Conclusions The prominence of left frontal functional connectivity highlights the involvement of approach motivation in emotion regulation during breathing practices. This study underscores the potential for short-term breathing training and digital platforms for practical applications in mindfulness and emotion regulation. Preregistration Study 1 was not preregistered. Study 2 was registered in ClinicalTrials.gov (Number: NCT06656741; https://clinicaltrials.gov/study/NCT06656741 ).
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Written from the paper’s full text.
TL;DR
In two EEG studies, long-term mindfulness/breathing training and short-term breath counting were associated with reduced left frontal functional connectivity, interpreted as approach-motivated emotion regulation. Study 1 found reduced delta and alpha connectivity after 8 weeks; Study 2 found reduced gamma connectivity in breath counting versus guided breathing.
Key findings
- Study 1: the 8-week mindfulness group (n = 17) improved emotion regulation on the DERS (t(16) = −2.14, p < 0.05, d = −0.51), while waitlist controls (n = 14) did not (t(13) = 0.76, p = 0.46, d = 0.20). Post- versus pretest EEG showed significantly reduced delta and alpha functional connectivity, mainly in the left frontal region; no significant theta, beta, or gamma connectivity findings were reported, but the mindfulness group showed a global gamma power increase (p-values < 0.05).
- Study 2: among 51 young adults, breath counting versus guided breathing showed significantly reduced gamma functional connectivity in the left frontal region to left temporal and left parietal regions and to right prefrontal, frontal, and parietal regions; the right prefrontal region also showed reduced interhemispheric gamma connectivity. Breath counting showed higher global delta and theta power and higher alpha power in right parietal/temporal and bilateral occipital/cingulate regions; no significant gamma spectral power changes were found.
- Across both studies, the authors highlight left frontal functional connectivity decreases as a prominent pattern, linking breathing training to approach motivation and emotion regulation, and suggesting breath counting may produce neural effects similar to long-term training.
Methods
- Study 1 was an 8-week longitudinal mindfulness intervention: participants were randomly assigned to mindfulness training or waitlist control, completed resting-state EEG and the DERS before and after, and were analyzed with paired t-tests plus FDR correction. EEG used a 32-electrode MR-compatible system, LCMV beamforming, the Desikan-Killiany atlas (68 ROIs grouped into 14 regions), and MIM functional connectivity and spectral power.
- Study 2 was a single-session, cross-sectional VR experiment with 51 participants (26 men, 25 women; mean age = 22.7 ± 2.5 years) who had no prior mindfulness or breathing training. Participants completed two counterbalanced 6-min conditions—guided breathing and breath counting—while EEG, heartbeat, and respiration were recorded; analyses used the same ROIconnect/MIM pipeline as Study 1, with FDR correction.
- Frequency bands were delta 1–4 Hz, theta 4–8 Hz, alpha 8–12 Hz, low beta 12–20 Hz, high beta 20–30 Hz, and gamma 30–50 Hz; Study 1 excluded frequencies above 40 Hz because of MRI gradient artifact risk. Study 1 was not preregistered; Study 2 was registered in ClinicalTrials.gov (NCT06656741).
Limitations
- The paper states that Study 1 had a relatively small sample and participants were predominantly female; the authors also state they did not focus on the association between behavioral and EEG data (e.g., they did not regress DERS on MIM values).
- The authors state concern about the validity of cingulate-region data because scalp EEG may not reliably represent deeper sources, and they note that atlas choice may matter, encouraging future use of alternative atlases.
- Evident from the design: Study 1 used a waitlist rather than active control, and Study 2 was cross-sectional/single-session, so short-term effects cannot be assumed to translate directly into long-term outcomes; the paper also reports FDR-corrected results while providing uncorrected results in figures for reference.
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Cites
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Claims the paper makes
26 of 58 cited sources checked · 11 supported · 2 flagged · accuracy not yet measured
- Findingown data
The authors did not observe alpha power asymmetry as previously reported.
“We did not observe alpha power asymmetry as previously reported (Dziembowska et al., 2016;Telles et al., 2017).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Dziembowska et al., 2016 source
- cites Telles et al., 2017 source
The citation presents Telles et al. as a prior report of alpha-power asymmetry. Its Discussion and Conclusions instead say that alternate-nostril breathing did not change cerebral hemisphere symmetry or asymmetry; the reported alpha-amplitude decrease occurred during quiet sitting, not as a left–right asymmetry finding. The citing authors’ own failure to observe asymmetry cannot be assessed from this source. (LLM, conf=0.82)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Low frequency spectral power increased in breathing training practitioners.
“The results of breath counting aligned with the previous studies that low frequency spectral power increased in the breathing training practitioners (Dziembowska et al., 2016;Isbel et al., 2019;Telles et al., 2017)”
Quote in the paperSubstantial claim1 of 3 sources checked- cites Dziembowska et al., 2016 source
- cites Isbel et al., 2019 source
- cites Telles et al., 2017 source
The Results (Post-hoc analyses with Bonferroni adjustment; page unavailable) report that theta-band energy, a low-frequency EEG measure, significantly decreased during alternate nostril yoga breathing. The Discussion likewise describes decreased relative theta power, rather than the claimed increase. (LLM, conf=0.87)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
This approach contains considerable spatial bias as EEG electrodes originally collected mixed signals from multiple brain sources.
“However, this approach contains considerable spatial bias as EEG electrodes originally collected mixed signals from multiple brain sources (Luck, 2014;Pellegrini et al., 2023).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Luck, 2014
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Pellegrini et al., 2023 source
- Premisecitation
Functional connectivity in the DMN is negatively correlated with mindfulness scores of mindful breathing practitioners.
“According to the findings, functional connectivity in the DMN is negatively correlated with that of the salience network (Doll et al., 2015), other brain neural networks (Josipovic et al., 2011), and the mindfulness scores of mindful breathing practitioners (Garrison et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Garrison et al., 2015 source
The Methods (fMRI protocol) include breath-focused meditation, and the Discussion mentions prior findings of altered DMN functional connectivity in meditators. But the Results report group differences in DMN activity, not a negative correlation between connectivity and mindfulness scores. Searches for mindfulness scores and connectivity correlations found no passage establishing the claimed relationship. (LLM, conf=0.77)
Experimental — accuracy not yet measured
- Premisecitation
The frontal region is a part of the default mode network.
“The frontal region is a part of the default mode network (DMN), which characterizes the resting state of individuals (Fox et al., 2014;Ramirez-Barrantes et al., 2019).”
Quote in the paperSubstantial claim1 of 2 sources checked
- Premisecitation
When people engage in certain tasks, the neural features predominantly represent the state effect rather than the long-term trait effect.
“When people engage in certain tasks, the neural features predominantly represented the state effect, rather than the long-term trait effect (Geerligs et al., 2015), which was the breathing training effect in our case.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Geerligs et al., 2015 source
The Discussion reports that mental state strongly shaped individual differences in functional connectivity, with state effects explaining as much or more variance than trait effects in the general analysis. But the source does not establish that state effects predominantly outweigh trait effects whenever people engage in tasks: for aging in the rest-versus-sensorimotor comparison, state effects accounted for 39% of explained variance. Its findings concern functional connectivity, not neural features generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Functional connectivity in the DMN is negatively correlated with that of the salience network.
“According to the findings, functional connectivity in the DMN is negatively correlated with that of the salience network (Doll et al., 2015), other brain neural networks (Josipovic et al., 2011), and the mindfulness scores of mindful breathing practitioners (Garrison et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Doll et al., 2015 source
The Conclusion reports a stronger negative correlation between the insula salience-network subnetwork (insSN) and posterior-ventral DMN (pvDMN) in more mindful individuals. The Results’ Table 2 shows that correlations between other DMN and salience-network subnetworks are positive, so the paper does not establish a negative correlation between the two networks generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Previous breathing training studies reported gamma connectivity decreases in the left frontal area.
“Previous breathing training studies also reported the gamma connectivity decreases in the left frontal area (Berkovich-Ohana et al., 2014;Lehmann et al., 2012).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Berkovich-Ohana et al., 2014 source
The Gamma band section reports lower gamma functional connectivity in long-term mindfulness meditators than in controls, especially in the left hemisphere. It does not localize that decrease specifically to the left frontal area or identify breathing training as the intervention. The reported decrease is a resting-state trait difference, not a decrease observed during training. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Lehmann et al., 2012 source
- Premisecitation
Functional connectivity in the DMN is negatively correlated with other brain neural networks.
“According to the findings, functional connectivity in the DMN is negatively correlated with that of the salience network (Doll et al., 2015), other brain neural networks (Josipovic et al., 2011), and the mindfulness scores of mindful breathing practitioners (Garrison et al., 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Josipovic et al., 2011 source
- Findingnone given
Study 2 found that participants practicing breath counting exhibited significantly reduced gamma functional connectivity in the left frontal region.
“Study 2 found that participants practicing breath counting exhibited significantly reduced gamma functional connectivity in the left frontal region.”
Quote in the paperSubstantial claim - Findingown data
Study 1 found that long-term breathing training practitioners exhibited significantly reduced delta and alpha functional connectivity, mainly in the left frontal region.
“Study 1 revealed that the long-term breathing training practitioners exhibited significantly reduced delta and alpha functional connectivity, mainly in the left frontal region.”
Quote in the paperSubstantial claim - Findingown data
Waitlist control group participants' emotion regulation ability remained the same (t(13) = 0.76, p = 0.46, d = 0.20).
“whereas the waitlist control group participants' emotion regulation ability remained the same (t(13) = 0.76, p = 0.46, d = 0.20).”
Quote in the paperSubstantial claim - Findingown data
In the alpha band, the left frontal and prefrontal regions exhibited a major decrease in functional connectivity to both the left and right brain regions after the breathing training intervention.
“Study 1 showed that in the alpha band, the left frontal and prefrontal regions exhibited a major decrease in functional connectivity to both the left and right brain regions after the breathing training intervention.”
Quote in the paperSubstantial claim - Findingown data
Left central, parietal, temporal, and occipital regions showed lower intra-hemispheric functional connectivity after the intervention than before.
“The left central, parietal, temporal, and occipital regions showed lower intra-hemispheric functional connectivity after the intervention than before, whereas the prefrontal, frontal, and cingulate regions showed no significant difference in intrahemispheric functional connectivity.”
Quote in the paperSubstantial claim - Findingown data
The left hemisphere showed no difference in intra-hemispheric functional connectivity before and after the intervention.
“The right hemisphere showed lower intra-hemispheric functional connectivity after the mindfulness intervention, while the left hemisphere showed no difference before and after the intervention.”
Quote in the paperNot a substantial claim - Findingown data
Right parietal and occipital regions showed lower functional connectivity to the entire left hemisphere after the intervention.
“In addition, the right parietal and occipital regions showed lower functional connectivity to the entire left hemisphere after the intervention.”
Quote in the paperNot a substantial claim - Findingown data
Prefrontal, frontal, and cingulate regions showed no significant difference in intra-hemispheric functional connectivity.
“The left central, parietal, temporal, and occipital regions showed lower intra-hemispheric functional connectivity after the intervention than before, whereas the prefrontal, frontal, and cingulate regions showed no significant difference in intrahemispheric functional connectivity.”
Quote in the paperNot a substantial claim - Findingown data
In the delta band, the left frontal region exhibited a minor decrease in functional connectivity to the right brain region after the intervention.
“This was followed by a minor decrease in functional connectivity from the left frontal region to the right brain region.”
Quote in the paperNot a substantial claim - Findingown data
In the alpha band, right frontal and cingulate regions showed lower functional connectivity to the left central, parietal, temporal, and occipital regions after the intervention than before.
“For the alpha band, the right frontal and cingulate regions showed lower functional connectivity to the left central, parietal, temporal, and occipital regions after the intervention than before (as shown in Fig. 4b).”
Quote in the paperSubstantial claim - Findingown data
The analysis revealed no significant findings in the theta, beta, and gamma bands.
“The analysis revealed no significant findings in the theta, beta, and gamma bands.”
Quote in the paperNot a substantial claim - Findingown data
In the delta band, left frontal, central, and cingulate regions showed significantly lower functional connectivity to the entire right hemisphere in the posttest than in the pretest.
“For the delta band, the left frontal, central, and cingulate regions showed significantly lower functional connectivity to the entire right hemisphere in the posttest than in the pretest (as shown in Fig. 4a).”
Quote in the paperSubstantial claim - Findingown data
In the alpha band, the right frontal region exhibited a minor but statistically significant decrease in functional connectivity to both the left and right brain regions after the intervention.
“This was followed by a minor but statistically significant decrease in functional connectivity in the right frontal region to both the left and right brain regions.”
Quote in the paperSubstantial claim - Findingown data
Mindfulness intervention group participants had a significant improvement in emotion regulation ability after 8 weeks of training (t(16) = -2.14, p < 0.05, d = -0.51).
“Paired t-test analyses of the DERS suggested that the mindfulness intervention group participants had a significant improvement in emotion regulation ability after 8 weeks of training (t(16) = -2.14, p < 0.05, d = -0.51)”
Quote in the paperSubstantial claim - Findingown data
The right hemisphere showed lower intra-hemispheric functional connectivity after the mindfulness intervention.
“The right hemisphere showed lower intra-hemispheric functional connectivity after the mindfulness intervention, while the left hemisphere showed no difference before and after the intervention.”
Quote in the paperSubstantial claim - Findingown data
The waitlist control group showed no significant change in EEG power or functional connectivity across all frequency bands.
“The waitlist control group showed no significant change in EEG power or functional connectivity across all frequency bands.”
Quote in the paperSubstantial claim - Findingown data
In the breath counting condition, the right prefrontal region exhibited reduced levels of gamma band functional connectivity to the left frontal, temporal, and parietal regions.
“In the breath counting condition, the right prefrontal region also exhibited reduced levels of gamma band functional connectivity to the left frontal, temporal, and parietal regions.”
Quote in the paperSubstantial claim - Findingown data
The right prefrontal region showed only a decrease in inter-hemispheric functional connectivity.
“In contrast, the right prefrontal region showed only a decrease in inter-hemispheric functional connectivity.”
Quote in the paperNot a substantial claim - Findingown data
Other frequency bands did not show any significant results.
“Other frequency bands did not show any significant results.”
Quote in the paperNot a substantial claim - Findingown data
Breath counting showed higher alpha power in the right parietal and temporal regions, and in the bilateral occipital and cingulate regions.
“Breath counting also showed higher alpha power in the right parietal and temporal regions, and in the bilateral occipital and cingulate regions.”
Quote in the paperNot a substantial claim - Findingown data
Breath counting showed higher global delta and theta power than guided breathing.
“Breath counting showed higher global delta and theta power than guided breathing.”
Quote in the paperNot a substantial claim - Findingown data
Compared with guided breathing, the left frontal region in the breath counting condition showed lower levels of gamma band functional connectivity to the left temporal and left parietal regions, as well as to the right prefrontal, frontal, and parietal regions.
“Compared with guided breathing, the left frontal region in the breath counting condition showed lower levels of gamma band functional connectivity to the left temporal and left parietal regions, as well as to the right prefrontal, frontal, and parietal regions (as shown in Fig. 4c).”
Quote in the paperSubstantial claim - Findingown data
In Study 2, the breath counting condition showed a higher level of delta, theta, and alpha spectral powers than guided breathing.
“Unlike Study 1, the breath counting condition in Study 2 showed a higher level of delta, theta, and alpha spectral powers than guided breathing.”
Quote in the paperSubstantial claim - Findingown data
In the gamma band, the left frontal region showed significant decreases in inter- and intra-hemispheric functional connectivity.
“Overall, in the gamma band, the left frontal region showed significant decreases in inter-and intra-hemispheric functional connectivity.”
Quote in the paperSubstantial claim - Findingown data
No significant spectral power changes were found in the gamma band.
“No significant spectral power changes were found in the gamma band.”
Quote in the paperNot a substantial claim - Findingown data
Short-term breath counting produced a neural pattern similar to long-term training.
“We also demonstrated that short-term breath counting produced a neural pattern similar to long-term training.”
Quote in the paperSubstantial claim - Findingown data
Both styles produced comparable neural patterns in the participants.
“as both styles produced comparable neural patterns in the participants”
Quote in the paperSubstantial claim - Findingown data
In Study 2, breath counting resulted in a lower level of left frontal gamma functional connectivity than guided breathing.
“In Study 2, we tested the state effects of these two styles and found that breath counting resulted in a lower level of left frontal gamma functional connectivity than guided breathing.”
Quote in the paperSubstantial claim - Interpretationown data
The prominence of left frontal functional connectivity highlights the involvement of approach motivation in emotion regulation during breathing practices.
“The prominence of left frontal functional connectivity highlights the involvement of approach motivation in emotion regulation during breathing practices.”
Quote in the paperNot a substantial claim - Premisecitation
Frontal EEG asymmetry is one of the neural indicators of emotion regulation motivations.
“Frontal EEG asymmetry is one of the neural indicators of emotion regulation motivations (Coan & Allen, 2004;Davidson & Irwin, 1999;Harmon-Jones, 2003;Reznik & Allen, 2018).”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationreasoning
Breathing training may promote practitioners' emotion regulation through approach motivation.
“Therefore, breathing training may promote practitioners' emotion regulation through approach motivation.”
Quote in the paperSubstantial claim- Rests on an assumption: Breathing training styles generally have no obvious goal or motive.
- Study design and conductreasoning
The validity of cingulate region analysis is questionable because EEG is mainly a cortical-based neural imagery method.
“On top of that, we started to question the validity of cingulate region analysis as EEG is mainly a cortical-based neural imagery method, despite that the ROIconnect toolbox offered such calculations.”
Quote in the paperSubstantial claim- Rests on an assumption: EEG is mainly a cortical-based neural imagery method.
- Interpretationreasoning
With source reconstruction technology, region-based analysis may correct the spatial bias.
“With source reconstruction technology, region-based analysis may correct the spatial bias.”
Quote in the paperSubstantial claim - Premisereasoning
This method represents an advance in EEG analysis that was rarely utilized in previous breathing training research.
“This method represents an advance in EEG analysis that was rarely utilized in previous breathing training research.”
Quote in the paperSubstantial claim - Premisecitation
The right frontal region is closely linked to withdrawal motivation, inhibition, and negative emotions (e.g., fear, anxiety, and disgust).
“In contrast, the right frontal region was closely linked to withdrawal motivation, inhibition, and negative emotions (e.g., fear, anxiety, and disgust) (Coan & Allen, 2004;Davidson & Irwin, 1999;Reznik & Allen, 2018).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisereasoning
Little research has explored and compared the trait and state effects of breathing training.
“Little research has explored and compared the trait and state effects of breathing training.”
Quote in the paperSubstantial claim - Premisenone given
Evidence on frontal lateralization remains inconsistent.
“In summary, the evidence on frontal lateralization remains inconsistent.”
Quote in the paperNot a substantial claim - Premisenone given
Current evidence on frontal asymmetry during breathing training remains limited.
“However, current evidence on frontal asymmetry during breathing training remains limited.”
Quote in the paperSubstantial claim - Interpretationreasoning
One plausible reason for the decrease in alpha and delta frontal functional connectivity is deactivation of the default mode network.
“One plausible reason for such findings was related to the deactivation of the default mode network.”
Quote in the paperSubstantial claim - Interpretationreasoning
Long-term breathing training and the development of emotion regulation were associated with a decrease in alpha and delta frontal functional connectivity to other brain regions.
“In Study 1, our results showed that long-term breathing training and the development of emotion regulation were associated with a decrease in alpha and delta frontal functional connectivity to the other brain regions.”
Quote in the paperSubstantial claim - Interpretationreasoning
Breath counting delivered neural effects relatively similar to those of long-term breathing training.
“we therefore argued that breath counting delivered the neural effects relatively similar to that of long-term breathing training”
Quote in the paperSubstantial claim - Interpretationcitation
Gamma power increase after long-term breathing training could represent the elevated ability of attention.
“Gamma power increase after long-term breathing training could represent the elevated ability of attention (Ng et al., 2021(Ng et al., , 2023)).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Ng et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Ng et al., 2023
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
Different breathing training styles contribute to different neurological results.
“As such, we argued that different breathing training styles contribute to different neurological results.”
Quote in the paperSubstantial claim - Interpretationreasoning
As the breathing training intervention progressed, the participants' neural networks became increasingly desynchronized.
“Specifically, as the breathing training intervention progressed, the participants' neural networks became increasingly desynchronized.”
Quote in the paperSubstantial claim - Interpretationown data
Long-term breathing training could facilitate emotion regulation ability.
“Our evidence also supported that long-term breathing training could facilitate emotion regulation ability.”
Quote in the paperSubstantial claim - Interpretationcitation
A gamma band connectivity decrease could be a prominent neural feature during an active process of emotion regulation.
“That is, a gamma band connectivity decrease could be a prominent neural feature during an active process of emotion regulation.”
Quote in the paperSubstantial claim - Interpretationown data
Given the predictive role of the left frontal region in emotion regulation and breathing training outcomes, breath counting might achieve effects similar to long-term training.
“Given the predictive role of the left frontal region in emotion regulation and breathing training outcomes, we suggested that breath counting might achieve effects similar to long-term training.”
Quote in the paperSubstantial claim - Study design and conductreasoning
There are potential limitations in the validity of the cingulate region data, as EEG signals recorded from the scalp might not reliably represent activity from deeper regions like the cingulate.
“However, we acknowledge potential limitations in the validity of our cingulate region data, as EEG signals recorded from the scalp might not reliably represent activity from deeper regions like the cingulate.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 41
- May combine two claims. 21
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBreathing training includes different styles, such as mindful breathing, tempo breathing, and counting breath cycles.
“Breathing training includes different styles, such as mindful breathing (Fjorback et al., 2011), tempo breathing (Lukic et al., 2022), and counting breath cycles (Shuai et al., 2020).”
Quote in the paperNot a substantial claim2 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBreathing training is considered beneficial to the positive spirals of positive appraisals and emotion.
“breathing training is considered beneficial to the positive spirals of positive appraisals and emotion (Garland et al., 2015;Tamir et al., 2020).”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Garland et al., 2015 source
The Introduction (page unavailable) describes breathing as one possible focus of attention during mindfulness meditation. The Discussion (page unavailable) suggests that mindfulness training might stimulate upward spirals of positive affect and cognition, but the paper does not establish that breathing training on its own has this benefit. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites Tamir et al., 2020 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBehavioral evidence showed that breathing training promotes trainees' tendency to recall positive emotion, which contributed to better psychological well-being.
“Behavioral evidence showed that breathing training promotes trainees' tendency to recall positive emotion, which contributed to better psychological well-being in return (Roberts-Wolfe et al., 2012).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Roberts-Wolfe et al., 2012 source
The Methods describe a 12-week mindfulness course that included attention to the breath, but not breathing training alone. The Results and Conclusion report greater positive-word recall and psychological well-being than in active controls, with the two changes associated. The paper suggests that changed emotional processing may improve well-being; it does not establish that increased recall caused the improvement. Page numbers are not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTempo breathing asks people to inhale for 4 s, hold their breath for 1 s, and exhale for 5 s.
“Tempo breathing asks people to inhale for 4 s, hold their breath for 1 s, and exhale for 5 s (Lukic et al., 2022).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Lukic et al., 2022 source
The Methods (Design and Implementation; page not provided) specify 4 seconds of inhalation, a 1-second pause, and 5 seconds of exhalation at Breeze 2’s standard setting of 6 breaths per minute. The paper does not identify this as “Tempo breathing,” and the durations change when users select a different breathing rate. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBreath counting requires practitioners to count their breath cycles.
“Finally, breath counting requires practitioners to count their breath cycles (Shuai et al., 2020).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Shuai et al., 2020 source
May combine two claims.
PremisecitationPellegrini et al. (2023) launched the ROIconnect toolbox, which aggregates electrode data into region-based data and calculates connectivity between brain regions.
“To address these issues, Pellegrini et al. (2023) launched the ROIconnect toolbox, which aggregates electrode data into region-based data and calculates connectivity between brain regions.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Pellegrini et al., 2023 source
Classified as probably not a substantial claim.
PremisecitationA rising approach of EEG data handling is to aggregate electrode data into physiologically pre-defined brain regions (ROIs).
“A rising approach of EEG data handling is to aggregate the electrode data into physiologically pre-defined brain regions (or region of interest, ROI) (Basti et al., 2020).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Basti et al., 2020 source
Section 5.2 describes projecting MEG sensor data into anatomically defined cortical ROIs and discusses ROIs in source-reconstructed MEG/EEG data. It does not describe aggregating EEG electrode data into ROIs or establish that this is a rising approach; it also cautions that simple averaging of source-reconstructed MEG/EEG signals is inappropriate. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVR and BF demonstrated effectiveness in reducing anxiety.
“Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Gaggioli et al., 2014 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVR and BF demonstrated effectiveness in reducing stress levels.
“Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Rockstroh et al., 2021 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIC-U-Net is an end-to-end EEG denoising solution with high accuracy and reliability.
“IC-U-Net is an end-to-end EEG denoising solution with high accuracy and reliability.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Chuang et al., 2022 source
Classified as probably not a substantial claim.
PremisecitationBreathing training is correlated with positive cognition.
“Researchers suggested breathing training correlated with positive cognition (Garland et al., 2015;Tamir et al., 2020)”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Garland et al., 2015 source
The Discussion reports that mindfulness-based cognitive therapy was associated with increased positive thought appraisal in participants whose depression was partially remitted. The Introduction describes attention to breathing as one possible element of mindfulness meditation, but the paper does not establish an association between breathing training specifically and positive cognition. Page numbers are not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Tamir et al., 2020 source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationBreathing training practitioners had lower self-reference and mind-wandering, which were desirable outcomes of breathing training.
“A proposed reason for the phenomenon was that breathing training practitioners had lower self-reference and mind-wandering (Berkovich-Ohana et al., 2014), which were desirable outcomes of breathing training.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Berkovich-Ohana et al., 2014 source
The Gamma band section reports lower resting-state EEG connectivity in long-term mindfulness meditators than in controls and interprets it as possibly indicating less self-reference and mind-wandering. The Methods identify the participants as Theravada mindfulness practitioners, not breathing-training practitioners; the psychological outcomes were inferred from EEG rather than directly established. The claim therefore changes the training type and states a tentative interpretation as a finding. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVR and BF successfully enhanced breathing training.
“Furthermore, VR and BF successfully enhanced breathing training (Brammer et al., 2021;Rockstroh et al., 2021).”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites Brammer et al., 2021 source
In ‘Challenge 1: Choice of the Biofeedback Parameter > Prioritizing Controllability’ (page unavailable), the pilot data show lower breathing rates and higher biofeedback scores in sessions with biofeedback, as well as improvement across sessions. This supports a benefit from biofeedback in the VR training, but the paper describes the findings as suggestive and does not isolate whether VR itself enhanced breathing training. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Rockstroh et al., 2021 source
Classified as probably not a substantial claim.
PremisecitationBreathing training interventions are typically considered a long-term process that demands time and practice.
“Typically, breathing training interventions are considered a long-term process that demands time and practice (Kabat-Zinn, 1994;Zaccaro et al., 2018).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Kabat-Zinn, 1994
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Zaccaro et al., 2018 source
The Results (Study selection and characteristics; page unavailable) include interventions lasting many sessions or 150 days, so the review does cover breathing practice over time. But the same table also includes interventions lasting only 1–20 minutes, and the Introduction (Objectives and research question; page unavailable) considers effects during or immediately after breathing alongside long-term effects. The paper does not establish that breathing training is typically a long-term process or that it demands extended practice. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationLeft frontal phase synchronization in the gamma band was associated with cognitive reappraisal tendency upon people watching different emotional stimuli.
“Also, the left frontal phase synchronization in the gamma band was associated with cognitive reappraisal tendency (which was essential to the positive cognitive spiral of emotion regulation) upon people watching different emotional stimuli (Kang et al., 2012(Kang et al., , 2014)).”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Kang et al., 2012 source
- cites Kang et al., 2014 source
The Results (Gamma phase synchrony; page unavailable) report increased gamma phase synchronization across the brain during cognitive reappraisal. The Abstract distinguishes that whole-brain synchronization from left frontal gamma power. The paper therefore supports an association with reappraisal during emotional-picture viewing, but not the claim that phase synchronization was specifically left frontal or associated with a person's reappraisal tendency. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataIn Study 1, the participants in the mindfulness intervention group showed a global gamma power increase (p-values < 0.05), but not in the delta or alpha bands.
“In Study 1, the participants in the mindfulness intervention group showed a global gamma power increase (p-values < 0.05), but not in the delta or alpha bands.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataRight parietal and occipital regions showed lower intra-hemispheric functional connectivity after the intervention, whereas other right brain regions did not.
“The right parietal and occipital regions showed lower intra-hemispheric functional connectivity after the intervention, whereas the other right brain regions did not.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningLong-term breathing training showed a connectivity decrease in the alpha band, whereas breath counting showed a connectivity decrease in the gamma band.
“Still, a discrepancy was that the long-term breathing training showed a connectivity decrease in the alpha band, whereas breath counting showed a connectivity decrease in the gamma band.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataBoth breath counting and long-term breathing training showed left frontal functional connectivity decreases in the authors' MIM results of Study 2.
“Our MIM results of Study 2 further supported this claim that both breath counting and long-term breathing training showed the left frontal functional connectivity decreases”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationGamma power increased after breathing training in the authors' study, agreeing with a previous electrode-based breathing training study.
“Notably, our results of gamma power increase agreed with a previous electrode-based breathing training study (Ng et al., 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ng et al., 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Findingown dataBoth long-term and short-term breathing training reduce functional connectivity in the left frontal region.
“Overall, this work provided evidence from two studies, showing that both long-term and short-term breathing training reduce functional connectivity in the left frontal region.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStudy 1 was not preregistered.
“Study 1 was not preregistered.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenStudy 2 was registered in ClinicalTrials.gov (Number: NCT06656741).
“Study 2 was registered in ClinicalTrials.gov(Number: NCT06656741;”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe reliability of DERS in Study 1 was good, α = 0.96 and 0.95 in pretest and posttest respectively.
“The reliability of DERS in our Study 1 was good, α = 0.96 and 0.95 in pretest and posttest respectively.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataParticipants were randomly assigned to the mindfulness intervention or waitlist control group.
“We randomly assigned participants to the mindfulness intervention or waitlist control group.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisereasoningWhether frontal lateralization reflects long- or short-term effects is unclear.
“Furthermore, whether this lateralization reflects long-or short-term effects is unclear.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe waitlist control group was instructed to abstain from any mindfulness practices, breathing exercises, or related activities.
“The participants in the waitlist control group followed the same EEG scanning protocol but were instructed to abstain from any mindfulness practices, breathing exercises, or related activities.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMindful breathing emphasizes nonjudgmental awareness of body sensations and asks practitioners to focus their breathing sensations on the present moment.
“Mindful breathing emphasizes nonjudgmental awareness of body sensations and asks practitioners to focus their breathing sensations on the present moment (Fjorback et al., 2011).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fjorback et al., 2011 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIntegrated VR and BF technology has been increasingly applied to self-help healthcare training.
“Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yu et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
InterpretationreasoningThis active and intentional focus aligns with approach motivation.
“This active and intentional focus aligns with approach motivation.”
Quote in the paperNot a substantial claim- Rests on an assumption: Breathing training styles generally have no obvious goal or motive.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationFrequencies above 40 Hz were excluded from further analysis as they are prone to contamination by MR gradient-induced artifacts.
“However, frequencies above 40 Hz were excluded from further analysis, as they are prone to contamination by MR gradientinduced artifacts (Solana et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Solana et al., 2014 source
May combine two claims.
Interpretationnone givenOverall, the findings identified a trend whereby the prefrontal, frontal, and cingulate regions formed one cluster, and the central, parietal, temporal, and occipital regions formed another cluster.
“Overall, the findings identified a trend whereby the prefrontal, frontal, and cingulate regions formed one cluster, and the central, parietal, temporal, and occipital regions formed another cluster.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll statistical analyses incorporated false discovery rate (FDR) correction to control for multiple comparisons.
“All statistical analyses incorporated false discovery rate (FDR) correction to control for multiple comparisons.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFrontal EEG asymmetry can be measured during a resting session, described as a personality trait, or during a task, described as a state.
“Frontal EEG asymmetry can be measured during a resting session, and therefore described as a personality trait, or during a task, and thus described as a state (Coan & Allen, 2003;Reznik & Allen, 2018).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Coan & Allen, 2003
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Reznik & Allen, 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationThe left frontal region is predominantly associated with approach motivation and approach-related emotions (e.g., hope, happiness, excitement, and anger).
“Research suggested that the left frontal region was predominantly associated with approach motivation and approach-related emotions (e.g., hope, happiness, excitement, and anger) (Harmon-Jones, 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Harmon-Jones, 2003 source
May combine two claims.
PremisecitationPrevious studies on frontal EEG asymmetry typically used symmetric electrode pairs to assess frontal asymmetry, with some relying on only one pair of electrodes.
“Previous studies on frontal EEG asymmetry typically used symmetric electrode pairs to assess frontal asymmetry (Isbel et al., 2019;Ng et al., 2023), with some relying on only one pair of electrodes (Dziembowska et al., 2016;Telles et al., 2017;Zhou & Liu, 2016).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVR and BF demonstrated effectiveness in reducing self-reported pain.
“Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Prabhu et al., 2019 source
May combine two claims.
Interpretationown dataThe left frontal functional connectivity decreases suggest left frontal isolation from the DMN and the focus of the positive cognitive spiral.
“suggesting the left frontal isolation from DMN and the focus of positive cognitive spiral”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
InterpretationreasoningStudy 2 should have different results than the resting state data of Study 1 because the EEG scans in Study 2 were made during two breathing training sessions.
“The EEG scans in Study 2 were made during two breathing training sessions, and therefore Study 2 should have different results than the resting state data of Study 1.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningDesynchronization of the left frontal region suggests that breathing training practitioners had the ability to resist other disturbances and focused on the positive cognitive spiral, thereby promoting emotion regulation.
“The desynchronization of the left frontal region might suggest that breathing training practitioners had the ability to resist other disturbances and focused on the positive cognitive spiral, and thereby promoted emotion regulation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
InterpretationreasoningBreathing training reduced the integration of the left frontal region with the default mode network (DMN).
“A plausible explanation is that breathing training reduced the integration of the left frontal region with the DMN.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe first 1-min segment was excluded from each 6-min recording to focus on EEG data that reflected a stable mental state.
“To focus on EEG data that reflected a stable mental state, we excluded the first 1-min segment from each 6-min recording.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationPositive cognition is predominantly associated with the left frontal region.
“which was predominantly associated with the left frontal region (Harmon-Jones, 2003)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Harmon-Jones, 2003 source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningA possible reason for not observing alpha power asymmetry is that the EEG data in Study 1 were scanned during a resting state, whereas participants in previous studies were actively engaging in breathing trainings or tasks during EEG scans.
“A possible reason was that our EEG data in Study 1 was scanned during a resting state, and the participants in the previous studies were actively engaging in different breathing trainings or tasks during the EEG scans.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationA plausible reason for the discrepancy is that breath counting was an active task that required the participants' full attention, which was related to gamma activity.
“As we mentioned in the spectral power discussion, a plausible reason was that breath counting was an active task that required the participants' full attention, which was related to gamma activity (Fitzgibbon et al., 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fitzgibbon et al., 2004 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe experimental sequence was counterbalanced.
“The experimental sequence was counterbalanced.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Study design and conductnone givenROI-based analysis provided accurate spatial interpretation.
“As the ROI-based analysis provided accurate spatial interpretation, we could examine the frontal asymmetry phenomenon in breathing training.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataFunctional connectivity analysis was limited to the prefrontal, frontal, parietal, central, and temporal regions because Study 1 suggested these brain regions were most involved in long-term breathing training.
“In this study, we limited our functional connectivity analysis to the prefrontal, frontal, parietal, central, and temporal regions because the results of Study 1 suggested that these brain regions were most involved in long-term breathing training.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe increase of low frequency spectral power might represent a more relaxed mental state, which was an intended outcome of breathing training.
“Theoretically, the increase of low frequency spectral power might represent a more relaxed mental state, which was an intended outcome of breathing training.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenThe reduction in left frontal functional connectivity reflected the approach motivation of emotion regulation cultivated through breathing training.
“This phenomenon reflected the approach motivation of emotion regulation cultivated through breathing training.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningThe sample size of Study 1 was relatively small, and the participants were predominantly female.
“A shortcoming was that the sample size of Study 1 was relatively small, and the participants were predominantly female.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFDR correction was applied to all statistical analyses in the paper.
“While we applied FDR correction to all statistical analyses in this paper, results without FDR correction are provided in Figs. 3, 4, and 5 and Supplementary Figs.1234for reference”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Breathing training styles generally have no obvious goal or motive.
“In general, these breathing training styles have no obvious goal or motive.”
The paper relies on this without support.
EEG is mainly a cortical-based neural imagery method.
“as EEG is mainly a cortical-based neural imagery method”
The paper relies on this without support.
The two breathing training styles (breath counting and guided breathing) are very common.
“Given that these two styles are very common, we examined whether these styles contributed to a difference in frontal asymmetry outcomes.”
The paper relies on this without support.
Consumer-level digital products with bio-signal sensors claim that the BF function facilitates users' breathing training efficacy.
“In addition, some consumer-level digital products with bio-signal sensors claimed that the BF function was expected to facilitate users' breathing training efficacy.”
The paper relies on this without support.
The technology-assisted breathing training environment closely resembles the daily routines of breathing training practitioners.
“In this study, we designed the technology-assisted breathing training environment to closely resemble the daily routines of breathing training practitioners, characterized by self-guided sessions without real-time instructor feedback.”
The paper relies on this without support.
Research on short-term breathing training and gamma activity is limited.
“However, research on short-term breathing training and gamma activity is limited.”
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentt(16) = -2.14reported p < .05 · recomputed p = .048
“t(16) = -2.14, p < .05”
- Consistentt(13) = 0.76reported p = .46 · recomputed p = .461
“t(13) = 0.76, p = .46”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Study 1 discussion claims a left frontal alpha decrease within the left hemisphere
MajorThe discussion says left frontal and prefrontal alpha connectivity decreased to both left and right brain regions. The results instead state that the left frontal and prefrontal regions had no significant change in intra-hemispheric connectivity.
“Study 1 showed that in the alpha band, the left frontal and prefrontal regions exhibited a major decrease in functional connectivity to both the left and right brain regions after the breathing training intervention.”
“The left central, parietal, temporal, and occipital regions showed lower intra-hemispheric functional connectivity after the intervention than before, whereas the prefrontal, frontal, and cingulate regions showed no significant difference in intrahemispheric functional connectivity.”
Study 2 reports results for regions said to be excluded
MinorThe paper says occipital and cingulate results were excluded from Study 2, yet its Study 2 results report significant alpha power in both regions.
“We therefore excluded the results of the occipital and cingulate regions in Study 2 accordingly.”
“Breath counting also showed higher alpha power in the right parietal and temporal regions, and in the bilateral occipital and cingulate regions.”
Study 1 discussion claims a right frontal alpha decrease within the right hemisphere
MinorThe discussion reports decreased right frontal alpha connectivity to right brain regions, but the results say that only the right parietal and occipital regions had decreased intra-hemispheric connectivity.
“This was followed by a minor but statistically significant decrease in functional connectivity in the right frontal region to both the left and right brain regions.”
“The right parietal and occipital regions showed lower intra-hemispheric functional connectivity after the intervention, whereas the other right brain regions did not.”
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“…as physiological and behavioral evidence, generally support the idea that breathing training contributes to positive appraisals and approach motive (Garland et al., 2010, 2015; Roberts-Wolfe et al., 2012; Zaccaro et al., 2018), the corresponding neuroscience evidence on breath training styles and…”
Introduction to EEG- and Speech-Based Emotion Recognition
Abhang, P. A., Gawali, B. W., & Mehrotra, S. C. (2016) · Elsevier eBooks · doi:10.1016/c2015-0-01959-1 · Cited by 191 · see citing works
Biofeedback for Everyday Stress Management: A Systematic Review
Yu, B., Funk, M., Hu, J., Wang, Q., & Feijs, L. M. G. (2018) · Frontiers in ICT · doi:10.3389/fict.2018.00023 · Cited by 185 · cited 1× · see citing works
“…by virtual reality (VR) and breath signal BF. Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported…”
Dziembowska, I., Izdebski, P., Rasmus, A., Brudny, J., Grzelczak, M., & Cysewski, P. (2016) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-015-9319-4 · Cited by 181 · cited 6× · see citing works
“Previous studies on frontal EEG asymmetry typically used symmetric electrode pairs to assess frontal asymmetry (Isbel et al., 2019; Ng et al., 2023), with some relying on only one pair of electrodes (Dziembowska et al., 2016; Telles et al., 2017; Zhou & Liu, 2016).”
InfluentialDoll, A., Hölzel, B. K., Boucard, C. C., Wohlschläger, A. M., & Sorg, C. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00461 · Cited by 165 · cited 1× · see citing works
“According to the findings, functional connectivity in the DMN is negatively correlated with that of the salience network (Doll et al., 2015), other brain neural networks (Josipovic et al., 2011), and the mindfulness scores of mindful breathing practitioners (Gar-rison et al., 2015).”
Gaggioli, A., Pallavicini, F., Morganti, L., Serino, S., Scaratti, C., Briguglio, M., Crifaci, G., Vetrano, N., Giulintano, A., Bernava, G., et al. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3235 · Cited by 164 · cited 1× · see citing works
“…(VR) and breath signal BF. Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Grent-‘t-Jong, T., Groß, J., Goense, J. B. M., Wibral, M., Gajwani, R., Gumley, A. I., Lawrie, S. M., Schwannauer, M., Schultze‐Lutter, F., Schröder, T. N., et al. (2018) · eLife · doi:10.7554/elife.37799 · Cited by 161 · see citing works
Influence of meditation on anti-correlated networks in the brain
Josipovic, Z., Dinstein, I., Weber, J., & Heeger, D. J. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00183 · Cited by 160 · cited 1× · see citing works
“According to the findings, functional connectivity in the DMN is negatively correlated with that of the salience network (Doll et al., 2015), other brain neural networks (Josipovic et al., 2011), and the mindfulness scores of mindful breathing practitioners (Gar-rison et al., 2015).”
Emotion regulation is motivated.
Tamir, M., Vishkin, A., & Gutentag, T. (2020) · Emotion · doi:10.1037/emo0000635 · Cited by 154 · cited 3× · see citing works
“Emotion regulation, an effortful mental process, aims to shift an individual’s current emotional state to a more desirable one (Tamir et al., 2020).”
Lehmann, D., Faber, P. L., Tei, S., Pascual-Marqui, R. D., Milz, P., & Kochi, K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.042 · Cited by 150 · cited 2× · see citing works
“Another breath training study reported the increased left frontal delta connectivity (Zaccaro et al., 2022) and decreased left frontal gamma connectivity (Berkovich-Ohana et al., 2014; Lehmann et al., 2012).”
The State and Trait Nature of Frontal EEG Asymmetry in Emotion
Coan, J. A., & Allen, J. J. B. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1463.003.0023 · Cited by 146 · see citing works
Chuang, C.-H., Chang, K.-Y., Huang, C.-S., & Jung, T.-P. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119586 · Cited by 88 · cited 1× · see citing works
“Then, we applied IC-U-Net to preprocess the data (Chuang et al., 2022).”
Self-citationStudying the default mode and its mindfulness-induced changes using EEG functional connectivity
Berkovich-Ohana, A., Glicksohn, J., & Goldstein, A. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nst153 · Cited by 87 · see citing works
A mobile VR-based respiratory biofeedback game to foster diaphragmatic breathing
Rockstroh, C., Blum, J., & Göritz, A. S. (2021) · Virtual Reality · doi:10.1007/s10055-020-00471-5 · Cited by 83 · see citing works
Visual evoked potentials recovered from fMRI scan periods
Becker, R., Ritter, P., Moosmann, M., et al. (2005) · Human Brain Mapping · doi:10.1002/hbm.20152 · Cited by 81 · cited 1× · see citing works
“Using Analyzer 2.1 (Brain Products GmbH, Gilch-ing, Germany), we corrected magnetic resonance gradient–induced and ballistocardiogram artifacts in the EEG data, following the parameter settings suggested by Becker et al. (2005).”
InfluentialRoberts-Wolfe, D., Sacchet, M., Hastings, E., Roth, H., & Britton, W. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00015 · Cited by 79 · cited 2× · see citing works
“Behavioral evidence showed that breathing training promotes trainees’ tendency to recall positive emotion, which contributed to better psychological well-being in return (Roberts-Wolfe et al., 2012).”
Proposed EEG/Speech-Based Emotion Recognition System
Abhang, P. A., Gawali, B. W., & Mehrotra, S. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804490-2.00007-5 · Cited by 71 · see citing works
Hauswald, A., Übelacker, T., Leske, S., & Weisz, N. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.065 · Cited by 70 · cited 1× · see citing works
“…band definition recommended in previous studies (delta = 1–4 Hz, theta = 4–8 Hz, alpha = 8–12 Hz, low-beta = 12–20 Hz, high-beta = 20–30 Hz, gamma = 30–50 Hz) (Abhang et al., 2016; Deuschl & Eisen, 1999; Grent-'t-Jong et al., 2018; Hauswald et al., 2015; Rangaswamy et al., 2002; Teplan, 2002).”
Anzolin, A., Presti, P., de Steen, F. V., et al. (2019) · Brain Topography · doi:10.1007/s10548-019-00705-z · Cited by 55 · cited 1× · see citing works
“Research indicates that the LCMV beamforming method achieves higher source reconstruction accuracy than “exact” low-resolution electromagnetic tomography (eLORETA), a commonly used alternative for EEG data source reconstruction (Anzolin et al., 2019).”
Multi-dimensional connectivity: a conceptual and mathematical review
Basti, A., Nili, H., Hauk, O., Marzetti, L., & Henson, R. N. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117179 · Cited by 48 · see citing works
Ramírez-Barrantes, R., Arancibia, M., Stojanova, J., Aspé-Sánchez, M., Córdova, C., & Henríquez-Ch, R. A. (2019) · Neural Plasticity · doi:10.1155/2019/7067592 · Cited by 44 · cited 1× · see citing works
“The frontal region is a part of the default mode network (DMN), which characterizes the resting state of individuals (Fox et al., 2014; Ramirez-Barrantes et al., 2019).”
Identifying good practices for detecting inter-regional linear functional connectivity from EEG
Pellegrini, F., Delorme, A., Nikulin, V., & Haufe, S. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120218 · Cited by 43 · see citing works
Shuai, R., Bakou, A. E., Hardy, L., & Hogarth, L. (2020) · Addictive Behaviors · doi:10.1016/j.addbeh.2019.106141 · Cited by 38 · cited 3× · see citing works
“Finally, breath counting requires practitioners to count their breath cycles (Shuai et al., 2020).”
Brammer, J. C., van Peer, J. M., Michela, A., van Rooij, M. M. J. W., Oostenveld, R., Klumpers, F., Dorrestijn, W., Granic, I., & Roelofs, K. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.586553 · Cited by 38 · cited 1× · see citing works
“Furthermore, VR and BF successfully enhanced breathing training (Brammer et al., 2021; Rockstroh et al., 2021).”
Zaccaro, A., Piarulli, A., Melosini, L., Menicucci, D., & Gemignani, A. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.803904 · Cited by 37 · cited 2× · see citing works
“Another breath training study reported the increased left frontal delta connectivity (Zaccaro et al., 2022) and decreased left frontal gamma connectivity (Berkovich-Ohana et al., 2014; Lehmann et al., 2012).”
Hemisphere specific EEG related to alternate nostril yoga breathing
Telles, S., Gupta, R. K., Yadav, A., Pathak, S., & Balkrishna, A. (2017) · BMC Research Notes · doi:10.1186/s13104-017-2625-6 · Cited by 33 · cited 6× · see citing works
“Previous studies on frontal EEG asymmetry typically used symmetric electrode pairs to assess frontal asymmetry (Isbel et al., 2019; Ng et al., 2023), with some relying on only one pair of electrodes (Dziembowska et al., 2016; Telles et al., 2017; Zhou & Liu, 2016).”
InfluentialLukic, Y. X., Teepe, G. W., Fleisch, E., & Kowatsch, T. (2022) · JMIR Serious Games · doi:10.2196/39186 · Cited by 32 · cited 4× · see citing works
“The other style was guided breathing (Lukic et al., 2022).”
InfluentialRepresentation of Cognitive Reappraisal Goals in Frontal Gamma Oscillations
Kang, J.-H., Jeong, J. W., Kim, H. T., Kim, S. H., & Kim, S.-P. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113375 · Cited by 30 · cited 1× · see citing works
“Also, the left frontal phase synchronization in the gamma band was associated with cognitive reappraisal tendency (which was essential to the positive cognitive spiral of emotion regulation) upon people watching different emotional stimuli (Kang et al., 2012, 2014).”
Ng, H. H., Wu, C. W., Huang, F., Cheng, Y., Guu, S.-F., Huang, C., Hsu, C., Chao, Y., Jung, T., & Chuang, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.748584 · Cited by 24 · cited 6× · see citing works
“The resting EEG signals in this study correspond to “Resting 1,” as described in Ng et al. (2021).”
InfluentialSelf-citationNg, H. H., Wu, C. W., Huang, F., Huang, C., Hsu, C., Chao, Y., Jung, T., & Chuang, C. (2023) · Journal of Neuroscience Research · doi:10.1002/jnr.25168 · Cited by 22 · cited 3× · see citing works
“Gamma power increase after long-term breathing training could represent the elevated ability of attention (Ng et al., 2021, 2023).”
Self-citationZhou, R., & Liu, L. (2016) · Mindfulness · doi:10.1007/s12671-016-0591-z · Cited by 19 · cited 4× · see citing works
“While some breath training studies reported changes over weeks (Isbel et al., 2019; Ng et al., 2023; Zhou & Liu, 2016), others observed changes during a single session (Dziembowska et al., 2016; Telles et al., 2017).”
InfluentialAn Affective Computing in Virtual Reality Environments for Managing Surgical Pain and Anxiety
G Prabhu, V., Linder, C., Stanley, L. M., & Morgan, R. (2019) · 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR) · doi:10.1109/aivr46125.2019.00049 · Cited by 19 · cited 1× · see citing works
“…(VR) and breath signal BF. Integrated VR and BF technology has been increasingly applied to self-help healthcare training (Yu et al., 2018), demonstrating effectiveness in reducing stress levels (Rockstroh et al., 2021), anxiety (Gaggioli et al., 2014), and self-reported pain (Prabhu et al., 2019).”
Kang, J.-H., Ahn, H. M., Jeong, J. W., Hwang, I., Kim, H. T., Kim, S. H., & Kim, S.-P. (2012) · NeuroReport · doi:10.1097/wnr.0b013e32835a6475 · Cited by 18 · cited 1× · see citing works
“Also, the left frontal phase synchronization in the gamma band was associated with cognitive reappraisal tendency (which was essential to the positive cognitive spiral of emotion regulation) upon people watching different emotional stimuli (Kang et al., 2012, 2014).”
Mindfulness Induces Changes in Anterior Alpha Asymmetry in Healthy Older Adults
Isbel, B., Lagopoulos, J., Hermens, D. F., & Summers, M. J. (2019) · Mindfulness · doi:10.1007/s12671-019-01106-w · Cited by 15 · cited 5× · see citing works
“Another study reported higher relative left frontal alpha power during a breath counting task (Isbel et al., 2019).”
InfluentialMantra Meditation Suppression of Default Mode Beyond an Active Task: a Pilot Study
Simon, R. A., Pihlsgård, J., Berglind, U., Söderfeldt, B. A., & Engström, M. (2017) · Journal of Cognitive Enhancement · doi:10.1007/s41465-017-0028-1 · Cited by 14 · cited 1× · see citing works
“Researchers have consistently found that meditation contributes to the deactivation of the DMN (Fox et al., 2014; Simon et al., 2017), characterized by a decrease in alpha band connectivity among DMN regions (Ramanathan et al., 2024).”
Ramanathan, D., Nan, J., Grennan, G., Jaiswal, S., Purpura, S. R., Manchanda, J. K., Maric, V., Balasubramani, P. P., & Mishra, J. (2024) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2024.100384 · Cited by 13 · cited 1× · see citing works
“Researchers have consistently found that meditation contributes to the deactivation of the DMN (Fox et al., 2014; Simon et al., 2017), characterized by a decrease in alpha band connectivity among DMN regions (Ramanathan et al., 2024).”
Solana, A. B., Hernández-Tamames, J. A., Manzanedo, E., García-Álvarez, R., Zelaya, F. O., & del Pozo, F. (2014) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.03.008 · Cited by 11 · cited 1× · see citing works
“However, frequencies above 40 Hz were excluded from further analysis, as they are prone to contamination by MR gradient-induced artifacts (Solana et al., 2014).”
Near-zero phase-lag hyperscanning in a novel wireless EEG system
Chuang, C., Lu, S.-W., Chao, Y., Peng, P.-H., Hsu, H., Hung, C.-C., Chang, C., & Jung, T. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac33e6 · Cited by 10 · cited 5× · see citing works
“The data for Study 2 were collected in the fall of 2022 from National Tsing Hua University and Chang Gung University in northern Taiwan, and were also reported in Ng et al. (2024).”
InfluentialSelf-citationNg, H. H., Wu, C. W., Hsu, H., Huang, C., Hsu, A., Chao, Y., Jung, T., & Chuang, C. (2024) · JMIR Formative Research · doi:10.2196/55478 · Cited by 9 · cited 1× · see citing works
“The data for Study 2 were collected in the fall of 2022 from National Tsing Hua University and Chang Gung University in northern Taiwan, and were also reported in Ng et al. (2024).”
Self-citation
Flagged first, then by citations
Research works printed but not linked: 6
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- Authors
- Ng, H.-Y. H., Hsu, A.-L., Wu, C. W., Huang, C.-M., Chao, Y.-P., Jung, T.-P., & Chuang, C.-H.
- Affiliations
- National Tsing Hua University (TW)
- National Health Research Institutes (TW)
- University of Hong Kong (HK)
- Chang Gung University (TW)
- University of California San Diego (US)
- Corresponding author
- Ng, Hei-Yin Hydra
- Hsu, Ai-Ling
- Huang, Chih-Mao
- Chao, Yi-Ping
- Jung, Tzyy-Ping
- Chuang, Chun-Hsiang
- Venue
- Mindfulness
- Published
- 2026-01
- Volume
- 17
- Issue
- 1
- Pages
- 169-184
- ISSN
- 1868-8527 (ISSN-L)
- 1868-8535
- OpenAlex
- W7124738389
- Semantic Scholar
- 30869bb5d5fa07b29c5925012a9811b44267da60
- Cited by
- 0
- References
- 62
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Mindfulness (publishedVersion, cc-by-nc-nd)
- Funders
- National Tsing Hua University
- Topics
- Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- breathing exercises, frontal EEG asymmetry, functional connectivity, emotion regulation, approach motivation, mindfulness training, guided breathing, virtual reality
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