Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis.

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.

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.

Who cites it

4 citing papers in PubMed.

1. Dysregulated neural coding in the vagus nerve during long sepsis.Brain, behavior, & immunity - health · 2025
   Article
2. Reassessing sepsis research: new clues for old players and new players for an old symptom to improve patient outcomes.EXCLI journal · 2025
   Review
3. Development and validation of an interpretable machine learning model for predicting cognitive impairment in patients with sepsis.Frontiers in medicine · 2025
   Article
4. Enhanced resistance toFrontiers in pharmacology · 2025
   Article

Corrections and comments

• Update of
  Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis.2024

Authors and funding

3 authors.

Funding

Abstract

Indexed as