Evidence map›Paper›PMID 25879781›Full record

ArticleHuman brain mapping2015

Pathological uncoupling between amplitude and connectivity of brain fluctuations in epilepsy.

Zhiqiang Zhang, Qiang Xu, Wei Liao, Zhengge Wang, Qian Li, Fang Yang, Zongjun Zhang, Yijun Liu, Guangming Lu

Open access · greenAbstract read
In one paragraph

Article in Human brain mapping, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Alterations in spatiotemporal characteristics of dynamic networks in juvenile myoclonic epilepsy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 4 institutions in 2 countries.

Zhiqiang ZhangDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Qiang XuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Wei LiaoDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Zhengge WangDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Qian LiDepartment of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Fang YangDepartment of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Zongjun ZhangDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Yijun LiuDepartment of Psychiatry and Neuroscience, University of Florida, Gainesville, Florida.
Guangming LuDepartment of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Nanjing General Hospital of Nanjing Military Command · CNNanjing University · CNHangzhou Normal University · CNUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amplitude and functional connectivity are two fundamental parameters for describing the spontaneous brain fluctuations. These two parameters present close coupling in physiological state, and present different alteration patterns in epilepsy revealed by functional MRI (fMRI). We hypothesized that the alteration of coupling between these two imaging parameters may be underpinned by specific pathological factors of epilepsy, and can be employed to improve the capability for epileptic focus detection. Forty-seven patients (26 left- and 21 right-sided) with mesial temporal lobe epilepsy (mTLE) and 32 healthy controls underwent resting-state fMRI scans. All patients were detected to have interictal epileptic discharges on simultaneous electroencephalograph (EEG) recordings. Amplitude-connectivity coupling was calculated by correlating amplitude and functional connectivity density of low-frequency brain fluctuations. We observed reduced amplitude-connectivity coupling associated with epileptic discharges in the mesial temporal regions in both groups of patients, and increased coupling associated with epilepsy durations in the posterior regions of the default-mode network in the right-sided patients. Moreover, we proposed a new index of amplitude subtracting connectivity, which elevated imaging contrast for differentiating the patients from the controls. The findings indicated that epileptic discharges and chronic damaging effect of epilepsy might both contribute to alterations of amplitude-connectivity coupling in different pivotal regions in mTLE. Investigation on imaging coupling provides synergistic approach for describing brain functional changing features in epilepsy.

Indexed as

AdultConnectomeElectroencephalographyEpilepsy, Temporal LobeFemaleHumansMagnetic Resonance ImagingMaleamplitudeepilepsyfunctional connectivityfunctional MRIlow-frequency brain fluctuations

Identifiers

PMID25879781
PMCPMC6869589
OpenAlexW1937792452

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.