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Article: BOLD fMRI study of ultrahigh frequency encoding in the inferior colliculus

TitleBOLD fMRI study of ultrahigh frequency encoding in the inferior colliculus
Authors
KeywordsBOLD fMRI
Inferior colliculus
Rodent
Ultrahigh frequency
Vocalization
Issue Date2015
Citation
Neuroimage, 2015, v. 114, p. 427-437 How to Cite?
AbstractMany vertebrates communicate with ultrahigh frequency (UHF) vocalizations to limit auditory detection by predators. The mechanisms underlying the neural encoding of such UHF sounds may provide important insights for understanding neural processing of other complex sounds (e.g. human speeches). In the auditory system, sound frequency is normally encoded topographically as tonotopy, which, however, contains very limited representation of UHFs in many species. Instead, electrophysiological studies suggested that two neural mechanisms, both exploiting the interactions between frequencies, may contribute to UHF processing. Neurons can exhibit excitatory or inhibitory responses to a tone when another UHF tone is presented simultaneously (combination sensitivity). They can also respond to such stimulation if they are tuned to the frequency of the cochlear-generated distortion products of the two tones, e.g. their difference frequency (cochlear distortion). Both mechanisms are present in an early station of the auditory pathway, the midbrain inferior colliculus (IC). Currently, it is unclear how prevalent the two mechanisms are and how they are functionally integrated in encoding UHFs. This study investigated these issues with large-view BOLD fMRI in rat auditory system, particularly the IC. UHF vocalizations (above 40 kHz), but not pure tones at similar frequencies (45, 55, 65, 75 kHz), evoked robust BOLD responses in multiple auditory nuclei, including the IC, reinforcing the sensitivity of the auditory system to UHFs despite limited representation in tonotopy. Furthermore, BOLD responses were detected in the IC when a pair of UHF pure tones was presented simultaneously (45 & 55 kHz, 55 & 65 kHz, 45 & 65 kHz, 45 & 75 kHz). For all four pairs, a cluster of voxels in the ventromedial side always showed the strongest responses, displaying combination sensitivity. Meanwhile, voxels in the dorsolateral side that showed strongest secondary responses to each pair of UHF pure tones also showed the strongest responses to a pure tone at their difference frequency, suggesting that they are sensitive to cochlear distortion. These BOLD fMRI results indicated that combination sensitivity and cochlear distortion are employed by large but spatially distinctive neuron populations in the IC to represent UHFs. Our imaging findings provided insights for understanding sound feature encoding in the early stage of the auditory pathway.
Persistent Identifierhttp://hdl.handle.net/10722/220141
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGao, P-
dc.contributor.authorZhang, JW-
dc.contributor.authorChan, RW-
dc.contributor.authorLeong, ATL-
dc.contributor.authorWu, EX-
dc.date.accessioned2015-10-16T06:30:13Z-
dc.date.available2015-10-16T06:30:13Z-
dc.date.issued2015-
dc.identifier.citationNeuroimage, 2015, v. 114, p. 427-437-
dc.identifier.urihttp://hdl.handle.net/10722/220141-
dc.description.abstractMany vertebrates communicate with ultrahigh frequency (UHF) vocalizations to limit auditory detection by predators. The mechanisms underlying the neural encoding of such UHF sounds may provide important insights for understanding neural processing of other complex sounds (e.g. human speeches). In the auditory system, sound frequency is normally encoded topographically as tonotopy, which, however, contains very limited representation of UHFs in many species. Instead, electrophysiological studies suggested that two neural mechanisms, both exploiting the interactions between frequencies, may contribute to UHF processing. Neurons can exhibit excitatory or inhibitory responses to a tone when another UHF tone is presented simultaneously (combination sensitivity). They can also respond to such stimulation if they are tuned to the frequency of the cochlear-generated distortion products of the two tones, e.g. their difference frequency (cochlear distortion). Both mechanisms are present in an early station of the auditory pathway, the midbrain inferior colliculus (IC). Currently, it is unclear how prevalent the two mechanisms are and how they are functionally integrated in encoding UHFs. This study investigated these issues with large-view BOLD fMRI in rat auditory system, particularly the IC. UHF vocalizations (above 40 kHz), but not pure tones at similar frequencies (45, 55, 65, 75 kHz), evoked robust BOLD responses in multiple auditory nuclei, including the IC, reinforcing the sensitivity of the auditory system to UHFs despite limited representation in tonotopy. Furthermore, BOLD responses were detected in the IC when a pair of UHF pure tones was presented simultaneously (45 & 55 kHz, 55 & 65 kHz, 45 & 65 kHz, 45 & 75 kHz). For all four pairs, a cluster of voxels in the ventromedial side always showed the strongest responses, displaying combination sensitivity. Meanwhile, voxels in the dorsolateral side that showed strongest secondary responses to each pair of UHF pure tones also showed the strongest responses to a pure tone at their difference frequency, suggesting that they are sensitive to cochlear distortion. These BOLD fMRI results indicated that combination sensitivity and cochlear distortion are employed by large but spatially distinctive neuron populations in the IC to represent UHFs. Our imaging findings provided insights for understanding sound feature encoding in the early stage of the auditory pathway.-
dc.languageeng-
dc.relation.ispartofNeuroimage-
dc.subjectBOLD fMRI-
dc.subjectInferior colliculus-
dc.subjectRodent-
dc.subjectUltrahigh frequency-
dc.subjectVocalization-
dc.titleBOLD fMRI study of ultrahigh frequency encoding in the inferior colliculus-
dc.typeArticle-
dc.identifier.emailWu, EX: ewu@eee.hku.hk-
dc.identifier.authorityWu, EX=rp00193-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neuroimage.2015.04.007-
dc.identifier.scopuseid_2-s2.0-84929709707-
dc.identifier.hkuros255249-
dc.identifier.hkuros280417-
dc.identifier.volume114-
dc.identifier.spage427-
dc.identifier.epage437-
dc.identifier.isiWOS:000355002900038-

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