The experience of vertigo: A systematic review of neuroimaging studies.
Clovis Varangot-ReilleAida Herranz-GómezJavier de la NavaLuis Suso-MartíFerran Cuenca-MartínezPublished in: Brain imaging and behavior (2022)
Our primary objective was to assess consistent activation and deactivation among healthy participants and patients reporting vertigo. Our secondary aim was to evaluate the influence of the stimulus and the direction of the perception of self-motion We realized a systematic review with an extensive data visualization. We included neuroimaging studies (e.g., functional magnetic resonance imaging [fMRI], positron emission tomography [PET] or near infrared spectroscopy [NIRS]) that have measured functional activity in human adults reporting vertigo and/or dizziness. We included 21 studies (n = 336 participants), ~ 64% male, age ranging from 18 to 80.5 years. The different stimuli used to induce vertigo: caloric stimulation, galvanic stimulation, visual stimulation or vibratory stimulus on neck muscles. We found a consistent activation of the insular cortex, inferior parietal lobule, putamen, cerebellum, anterior cingulate cortex, precentral gyrus, superior temporal gyrus and thalamus. Cortical and subcortical activation seems to have a contralateral pattern to the perception of self-movement. We found a deactivation pattern of structures related to the ventral and third visual pathway. Vertigo is an unpleasant and subjective experience which involves multiple vestibular and non-specific networks with the involvement of a cortico-basal ganglia- cerebellar-thalamic network.
Keyphrases
- positron emission tomography
- computed tomography
- functional connectivity
- magnetic resonance imaging
- resting state
- deep brain stimulation
- case control
- pet ct
- ejection fraction
- endothelial cells
- end stage renal disease
- newly diagnosed
- spinal cord
- high resolution
- multiple sclerosis
- patient reported outcomes
- patient reported
- white matter
- induced pluripotent stem cells
- spinal cord injury
- machine learning