Evidence map›Paper›PMID 22660376›Full record

ArticleExperimental brain research2012

Modeling spatial tuning of adaptation of the angular vestibulo-ocular reflex.

Yongqing Xiang, Sergei B Yakushin, Theodore Raphan

Abstract read
In one paragraph

Article in Experimental brain research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

3 authors.

Yongqing XiangDepartment of Computer and Information Science, Brooklyn College of the City University of New York, 2900 Bedford Av & Av H, Brooklyn, NY 11210, USA.
Sergei B Yakushin
Theodore Raphan

Funding

Mechanical EngineeringP30DC005204 · NIDCD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI COHEN, BERNARD · 2002 to 2011
$4.2M
Context-specific Spatial Adaptation of the VORR01DC004996 · NIDCD · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI YAKUSHIN, SERGEI · 2002 to 2011
$3.6M
NIDCD NIH HHS DC04996NIDCD NIH HHS DC05204NIDCD NIH HHS P30 DC005204NIDCD NIH HHS R01 DC004996
6 · The paper itself

Abstract

Gain adaptation of the yaw angular vestibular ocular reflex (aVOR) induced in side-down positions has gravity-independent (global) and -dependent (localized) components. When the head oscillation angles are small during adaptation, localized gain changes are maximal in the approximate position of adaptation. Concurrently, polarization vectors of canal-otolith vestibular neurons adapt their orientations during these small-angle adaptation paradigms. Whether there is orientation adaptation with large amplitude head oscillations, when the head is not localized to a specific position, is unknown. Yaw aVOR gains were decreased by oscillating monkeys about a yaw axis in a side-down position in a subject-stationary visual surround for 2 h. Amplitudes of head oscillation ranged from 15° to 180°. The yaw aVOR gain was tested in darkness at 0.5 Hz, with small angles of oscillation (±15°) while upright and in tilted positions. The peak value of the gain change was highly tuned for small angular oscillations during adaptation and significantly broadened with larger oscillation angles during adaptation. When the orientation of the polarization vectors associated with the gravity-dependent component of the neural network model was adapted toward the direction of gravity, it predicted the localized learning for small angles and the broadening when the orientation adaptation was diminished. The model-based analysis suggests that the otolith orientation adaptation plays an important role in the localized behavior of aVOR as a function of gravity and in regulating the relationship between global and localized adaptation.

Indexed as

Adaptation, PhysiologicalAnimalsBiological ClocksEye MovementsHead MovementsMacaca fascicularisModels, NeurologicalNeuronsOrientationPostureReflex, Vestibulo-Ocular

Identifiers

PMID22660376
PMCPMC3513388

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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.