Evidence map›Paper›PMID 41890345›Full record

ArticleFrontiers in human neuroscience2026

The night shift brain: functional network reorganization in sleep-deprived medical staff.

Zhen Zeng, Dingbo Guo, Liuheng Liu, Fangyuan Ou, Tingting Du, Lisha Nie, Hua Yang, Cong Peng

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhen ZengThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Dingbo GuoThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Liuheng LiuThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Fangyuan OuThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Tingting DuThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Lisha NieGE Healthcare, MR Research, Beijing, China.
Hua YangThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.
Cong PengThe Department of Radiology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Medical staff frequently experience sleep deprivation, impacting both their health and patient care quality. Understanding brain network changes under sleep deprivation can guide preventive strategies. This study aims to determine how total sleep deprivation (TSD) alters brain network topology in medical professionals. Methods: Using graph-theory analysis of resting-state fMRI data from 36 medical staff, we assessed global and local brain network properties following TSD and normal sleep (rested wakefulness, RW), examining topological changes and their correlation with cognitive performance. Results: Small-world properties were present in both conditions, but the TSD condition showed higher clustering coefficients ( Conclusion: By identifying key brain network nodes affected by TSD, this study provides insights into neural adaptations under TSD, offering an evidence-based framework for developing both therapeutic interventions and preventive strategies to mitigate cognitive and health impacts in high-risk populations.

Indexed as

cognitive functiongraph theorymedical staffresting-state functional MRItotal sleep deprivation

Identifiers

PMID41890345
PMCPMC13013376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.