Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness

The results support that AMLR habituation can contribute to unraveling different mechanisms of dizziness due to concussion compared to VM, providing insights that can complement routine diagnostic assessments.

Authors

Institutions

Publication Details

Journal
Brain Sciences
Published
2024-12-24
DOI
https://doi.org/10.3390/brainsci15010001
Primary Topic
Vestibular and auditory disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness

Daniel Agostino, Nina Feddermann‐Demont, Carolina Beppi, Dominik Straumann et al.
Brain Sciences
Vestibular and auditory disorders
article

Regression-Based Classification of the Middle-Latency Auditory-Evoked Potentials in Vestibular Migraine and Concussion Patients with Dizziness

Daniel Agostino, Nina Feddermann‐Demont, Carolina Beppi, Dominik Straumann, Julia Dlugaiczyk, Antonella Palla
article en

Abstract

The results support that AMLR habituation can contribute to unraveling different mechanisms of dizziness due to concussion compared to VM, providing insights that can complement routine diagnostic assessments.

Brain SciencesVol. 15(1)
University of Zurich (CH), ETH Zurich (CH), University Hospital of Zurich (CH)
No poverty
Openalex Percentile: Top 73%
Vestibular and auditory disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.