Evidence map›Paper›PMID 35419632›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

Aberrant temporal-spatial complexity of intrinsic fluctuations in major depression.

Kaizhong Zheng, Baojuan Li, Hongbing Lu, Huaning Wang, Jin Liu, Baoyu Yan, Karl J Friston, Yuxia Wu, Jian Liu, Xi Zhang and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% of its field
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

16 authors at 6 institutions in 3 countries.

Kaizhong Zheng *Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China.
Baojuan Li *School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Hongbing Lu *School of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Huaning WangXijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Jin LiuDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.
Baoyu YanSchool of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Karl J FristonThe Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3AR, UK.
Yuxia WuDepartment of Information and Communication Engineering, Xi'an Jiaotong University, Xi'an, 710032, China.
Jian LiuNetwork Center, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Xi ZhangSchool of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Mengwan LiuSchool of Biomedical Engineering, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Liang LiInstitute of Military Cognition and Brain Sciences, Academy of Military Medical Sciences, 27 Tai-Ping Road, Beijing, 100850, China.
Jian QinDepartment of Intelligence Science and Technology, College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China.
Badong ChenInstitute of Artificial Intelligence and Robotics, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, China. chenbd@xjtu.edu.cn.ORCID http://orcid.org/0000-0003-1710-3818
Dewen HuDepartment of Intelligence Science and Technology, College of Intelligence Science and Technology, National University of Defense Technology, Changsha, 410073, China. dwhu@nudt.edu.cn.
Lingjiang LiDepartment of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China. LLJ2920@csu.edu.cn.
Air Force Medical University · CNCentral South University · CNXi'an Jiaotong University · CNNational University of Defense Technology · CNWellcome Centre for Human Neuroimaging · GBXijing Hospital · CN

Funding

National Natural Science Foundation of China 61503411National Natural Science Foundation of China 61976175National Natural Science Foundation of China 61976248National Natural Science Foundation of China 62088102National Natural Science Foundation of China 81371478National Natural Science Foundation of China 91648208National Natural Science Foundation of China U21A20485
6 · The paper itself

Abstract

Accumulating evidence suggests that the brain is highly dynamic; thus, investigation of brain dynamics especially in brain connectivity would provide crucial information that stationary functional connectivity could miss. This study investigated temporal expressions of spatial modes within the default mode network (DMN), salience network (SN) and cognitive control network (CCN) using a reliable data-driven co-activation pattern (CAP) analysis in two independent data sets. We found enhanced CAP-to-CAP transitions of the SN in patients with MDD. Results suggested enhanced flexibility of this network in the patients. By contrast, we also found reduced spatial consistency and persistence of the DMN in the patients, indicating reduced variability and stability in individuals with MDD. In addition, the patients were characterized by prominent activation of mPFC. Moreover, further correlation analysis revealed that persistence and transitions of RCCN were associated with the severity of depression. Our findings suggest that functional connectivity in the patients may not be simply attenuated or potentiated, but just alternating faster or slower among more complex patterns. The aberrant temporal-spatial complexity of intrinsic fluctuations reflects functional diaschisis of resting-state networks as characteristic of patients with MDD.

Indexed as

Major Depressive DisorderBrainBrain MappingDepressionHumansMagnetic Resonance ImagingNeural PathwaysBrain network dynamicCo-activation pattern analysisMajor depressive disorder (MDD)Resting-state functional networksTemporal–spatial complexity of intrinsic fluctuations

Identifiers

PMID35419632
OpenAlexW4226106677

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.