Evidence map›Paper›PMID 28179477›Full record

ArticleJournal of neurophysiology2017

Perceptual precision of passive body tilt is consistent with statistically optimal cue integration.

Koeun Lim, Faisal Karmali, Keyvan Nicoucar, Daniel M Merfeld

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Balance control threshold to vestibular stimuli.The Journal of physiology · 2025
    Article
  4. Article
  5. Article
  6. Intra-individual consistency of vestibular perceptual thresholds.Attention, perception & psychophysics · 2024
    Article
  7. Article
  8. Psychometrics of inertial heading perception.Journal of vestibular research : equilibrium & orientation · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

4 authors.

Koeun LimJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts; koeunlim@mit.edu.
Faisal KarmaliJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Keyvan NicoucarJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Daniel M MerfeldJenks Vestibular Physiology Laboratory, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.

Funding

Vestibular thresholds, including psychophysical response dynamicsR01DC004158 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI MERFELD, DANIEL M · 1999 to 2013
$4.9M
Employing Vestibular Thresholds to Improve Patient DiagnosisR01DC014924 · NIDCD · OHIO STATE UNIVERSITY · PI LEWIS, RICHARD F, MERFELD, DANIEL M · 2015 to 2019
$2.7M
NIDCD NIH HHS R01 DC004158NIDCD NIH HHS R01 DC014924
6 · The paper itself

Abstract

When making perceptual decisions, humans have been shown to optimally integrate independent noisy multisensory information, matching maximum-likelihood (ML) limits. Such ML estimators provide a theoretic limit to perceptual precision (i.e., minimal thresholds). However, how the brain combines two interacting (i.e., not independent) sensory cues remains an open question. To study the precision achieved when combining interacting sensory signals, we measured perceptual roll tilt and roll rotation thresholds between 0 and 5 Hz in six normal human subjects. Primary results show that roll tilt thresholds between 0.2 and 0.5 Hz were significantly lower than predicted by a ML estimator that includes only vestibular contributions that do not interact. In this paper, we show how other cues (e.g., somatosensation) and an internal representation of sensory and body dynamics might independently contribute to the observed performance enhancement. In short, a Kalman filter was combined with an ML estimator to match human performance, whereas the potential contribution of nonvestibular cues was assessed using published bilateral loss patient data. Our results show that a Kalman filter model including previously proven canal-otolith interactions alone (without nonvestibular cues) can explain the observed performance enhancements as can a model that includes nonvestibular contributions.

Indexed as

CuesInteroceptionPostureAdultBody ImageFemaleHumansMaleMiddle AgedPostural BalanceVestibule, Labyrinthmultisensory integrationotolith organssemicircular canalsvestibular

Identifiers

PMID28179477
PMCPMC5434481

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.