Literature DB >> 19516047

Where are the human speech and voice regions, and do other animals have anything like them?

Christopher I Petkov1, Nikos K Logothetis, Jonas Obleser.   

Abstract

Modern lesion and imaging work in humans has been clarifying which brain regions are involved in the processing of speech and language. Concurrently, some of this work has aimed to bridge the gap to the seemingly incompatible evidence for multiple brain-processing pathways that first accumulated in nonhuman primates. For instance, the idea of a posterior temporal-parietal "Wernicke's" territory, which is thought to be instrumental for speech comprehension, conflicts with this region of the brain belonging to a spatial "where" pathway. At the same time a posterior speech-comprehension region ignores the anterior temporal lobe and its "what" pathway for evaluating the complex features of sensory input. Recent language models confirm that the posterior or dorsal stream has an important role in human communication, by a reconceptualization of the "where" into a "how-to" pathway with a connection to the motor system for speech comprehension. Others have tried to directly implicate the "what" pathway for speech comprehension, relying on the growing evidence in humans for anterior-temporal involvement in speech and voice processing. Coming full circle, we find that the recent imaging of vocalization and voice preferring regions in nonhuman primates allows us to make direct links to the human imaging data involving the anterior-temporal regions. The authors describe how comparison of the structure and function of the vocal communication system of humans and other animals is clarifying evolutionary relationships and the extent to which different species can model human brain function.

Entities:  

Mesh:

Year:  2009        PMID: 19516047     DOI: 10.1177/1073858408326430

Source DB:  PubMed          Journal:  Neuroscientist        ISSN: 1073-8584            Impact factor:   7.519


  25 in total

1.  Voice cells in the primate temporal lobe.

Authors:  Catherine Perrodin; Christoph Kayser; Nikos K Logothetis; Christopher I Petkov
Journal:  Curr Biol       Date:  2011-08-11       Impact factor: 10.834

2.  Monkey drumming reveals common networks for perceiving vocal and nonvocal communication sounds.

Authors:  Ryan Remedios; Nikos K Logothetis; Christoph Kayser
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-01       Impact factor: 11.205

Review 3.  The neurobiology of primate vocal communication.

Authors:  Asif A Ghazanfar; Steven J Eliades
Journal:  Curr Opin Neurobiol       Date:  2014-07-23       Impact factor: 6.627

4.  Dynamics of large-scale cortical interactions at high gamma frequencies during word production: event related causality (ERC) analysis of human electrocorticography (ECoG).

Authors:  Anna Korzeniewska; Piotr J Franaszczuk; Ciprian M Crainiceanu; Rafał Kuś; Nathan E Crone
Journal:  Neuroimage       Date:  2011-03-16       Impact factor: 6.556

5.  The developmental origins of voice processing in the human brain.

Authors:  Tobias Grossmann; Regine Oberecker; Stefan Paul Koch; Angela D Friederici
Journal:  Neuron       Date:  2010-03-25       Impact factor: 17.173

6.  Communication and the primate brain: insights from neuroimaging studies in humans, chimpanzees and macaques.

Authors:  Benjamin Wilson; Christopher I Petkov
Journal:  Hum Biol       Date:  2011-04       Impact factor: 0.553

Review 7.  Processing of communication sounds: contributions of learning, memory, and experience.

Authors:  Amy Poremba; James Bigelow; Breein Rossi
Journal:  Hear Res       Date:  2013-06-18       Impact factor: 3.208

8.  Hierarchical auditory processing directed rostrally along the monkey's supratemporal plane.

Authors:  Yukiko Kikuchi; Barry Horwitz; Mortimer Mishkin
Journal:  J Neurosci       Date:  2010-09-29       Impact factor: 6.167

9.  The cortical analysis of speech-specific temporal structure revealed by responses to sound quilts.

Authors:  Tobias Overath; Josh H McDermott; Jean Mary Zarate; David Poeppel
Journal:  Nat Neurosci       Date:  2015-05-18       Impact factor: 24.884

10.  Reward-based learning for virtual neurorobotics through emotional speech processing.

Authors:  Laurence C Jayet Bray; Gareth B Ferneyhough; Emily R Barker; Corey M Thibeault; Frederick C Harris
Journal:  Front Neurorobot       Date:  2013-04-29       Impact factor: 2.650

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