Evidence map›Paper›PMID 35256748›Full record

ArticleCommunications biology2022

Alpha and theta peak frequency track on- and off-thoughts.

Jingyu Hua, Annemarie Wolff, Jianfeng Zhang, Lin Yao, Yufeng Zang, Jing Luo, Xianliang Ge, Chang Liu, Georg Northoff

Abstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Distinct timescales dissociate spontaneous thought dimensions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Task difficulty modulates the effect of mind wandering on phase dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jingyu HuaCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0001-8087-4290
Annemarie WolffDepartment of Psychology, Faculty of Social Sciences, University of Ottawa, Ottawa, ON, Canada.
Jianfeng ZhangCenter for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, Guangdong, China.ORCID http://orcid.org/0000-0002-3591-3219
Lin YaoDepartment of Neurobiology, NHC and CAMS Key Laboratory of Medical Neurobiology, School of Brain Science and Brain Medicine, and the MOE Frontier Science Center for Brain Research and Brain-Machine Integration, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yufeng ZangCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Jing LuoSchool of Psychology, Capital Normal University, Beijing, China.
Xianliang GeCenter for Psychological Sciences at Zhejiang University, Zhejiang University, Hangzhou, China.
Chang LiuSchool of Psychology, Nanjing Normal University, Nanjing, Jiangsu, China. liuchang@njnu.edu.cn.
Georg NorthoffCenter for Cognition and Brain Disorders, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China. georg.northoff@theroyal.ca.ORCID http://orcid.org/0000-0002-5236-0951

Funding

CIHR
6 · The paper itself

Abstract

Our thoughts are highly dynamic in their contents. At some points, our thoughts are related to external stimuli or tasks focusing on single content (on-single thoughts), While in other moments, they are drifting away with multiple simultaneous items as contents (off-multiple thoughts). Can such thought dynamics be tracked by corresponding neurodynamics? To address this question, here we track thought dynamics during post-stimulus periods by electroencephalogram (EEG) neurodynamics of alpha and theta peak frequency which, as based on the phase angle, must be distinguished from non-phase-based alpha and theta power. We show how, on the psychological level, on-off thoughts are highly predictive of single-multiple thought contents, respectively. Using EEG, on-single and off-multiple thoughts are mediated by opposite changes in the time courses of alpha (high in on-single but low in off-multiple thoughts) and theta (low in on-single but high in off-multiple thoughts) peak frequencies. In contrast, they cannot be distinguished by frequency power. Overall, these findings provide insight into how alpha and theta peak frequency with their phase-related processes track on- and off-thoughts dynamically. In short, neurodynamics track thought dynamics.

Indexed as

CognitionElectroencephalography

Identifiers

PMID35256748
PMCPMC8901672

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.