Evidence map›Paper›PMID 31401034›Full record

ReviewBiological psychiatry. Cognitive neuroscience and neuroimaging2019

Predictive Sensing: The Role of Motor Signals in Sensory Processing.

Jessica X Brooks, Kathleen E Cullen

Abstract readReview
In one paragraph

Review in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Optogenetic fMRI for Brain-Wide Circuit Analysis of Sensory Processing.International journal of molecular sciences · 2022
    Pooled it
  2. Pooled it
  3. Hindlimb Representation in the Spiny Mouse Sensorimotor Cortex.The Journal of comparative neurology · 2026
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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

2 authors.

Jessica X BrooksDepartment of Physiology, McGill University, Montreal, QC, Canada.
Kathleen E CullenDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland. Electronic address: kathleen.cullen@jhu.edu.

Funding

The Physiology of Vestibular CompensationR01DC002390 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Kathleen E Cullen · 1995 to 2026
$10.7M
CIHRNIDCD NIH HHS R01 DC002390
6 · The paper itself

Abstract

The strategy of integrating motor signals with sensory information during voluntary behavior is a general feature of sensory processing. It is required to distinguish externally applied (exafferent) from self-generated (reafferent) sensory inputs. This distinction, in turn, underlies our ability to achieve both perceptual stability and accurate motor control during everyday activities. In this review, we consider the results of recent experiments that have provided circuit-level insight into how motor-related inputs to sensory areas selectively cancel self-generated sensory inputs during active behaviors. These studies have revealed both common strategies and important differences across systems. Sensory reafference is suppressed at the earliest stages of central processing in the somatosensory, vestibular, and auditory systems, with the cerebellum and cerebellum-like structures playing key roles. Furthermore, motor-related inputs can also suppress reafferent responses at higher levels of processing such as the cortex-a strategy preferentially used in visual processing. These recent findings have important implications for understanding how the brain achieves the flexibility required to continuously calibrate relationships between motor signals and the resultant sensory feedback, a computation necessary for our subjective awareness that we control both our actions and their sensory consequences.

Indexed as

BrainCerebellumFeedback, SensoryHumansModels, NeurologicalPerceptionPsychomotor PerformanceActive sensingCerebellumCorollary dischargeEfference copyInternal modelPrediction

Identifiers

PMID31401034
PMCPMC6733654

What OpenQuestion holds

Textmetadata
LicenceTDM
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.