Temporal dynamics of stimulus specific processing in the human auditory cortex as revealed by electroencephalography

2008 ◽  
Vol 123 (5) ◽  
pp. 3717-3717
Author(s):  
Paul M. Briley ◽  
Katrin Krumbholz
2020 ◽  
Author(s):  
Jean-Pierre R. Falet ◽  
Jonathan Côté ◽  
Veronica Tarka ◽  
Zaida-Escila Martinez-Moreno ◽  
Patrice Voss ◽  
...  

AbstractWe present a novel method to map the functional organization of the human auditory cortex noninvasively using magnetoencephalography (MEG). More specifically, this method estimates via reverse correlation the spectrotemporal receptive fields (STRF) in response to a dense pure tone stimulus, from which important spectrotemporal characteristics of neuronal processing can be extracted and mapped back onto the cortex surface. We show that several neuronal populations can be found examining the spectrotemporal characteristics of their STRFs, and demonstrate how these can be used to generate tonotopic gradient maps. In doing so, we show that the spatial resolution of MEG is sufficient to reliably extract important information about the spatial organization of the auditory cortex, while enabling the analysis of complex temporal dynamics of auditory processing such as best temporal modulation rate and response latency given its excellent temporal resolution. Furthermore, because spectrotemporally dense auditory stimuli can be used with MEG, the time required to acquire the necessary data to generate tonotopic maps is significantly less for MEG than for other neuroimaging tools that acquire BOLD-like signals.


2016 ◽  
Author(s):  
Liberty S. Hamilton ◽  
Erik Edwards ◽  
Edward F. Chang

AbstractTo derive meaning from speech, we must extract multiple dimensions of concurrent information from incoming speech signals, including phonetic and prosodic cues. Equally important is the detection of acoustic cues that give structure and context to the information we hear, such as sentence boundaries. How the brain organizes this information processing is unknown. Here, using data-driven computational methods on an extensive set of high-density intracranial recordings, we reveal a large-scale partitioning of the entire human speech cortex into two spatially distinct regions that detect important cues for parsing natural speech. These caudal (Zone 1) and rostral (Zone 2) regions work in parallel to detect onsets and prosodic information, respectively, within naturally spoken sentences. In contrast, local processing within each region supports phonetic feature encoding. These findings demonstrate a fundamental organizational property of the human auditory cortex that has been previously unrecognized.


2016 ◽  
Vol 45 ◽  
pp. 10-22 ◽  
Author(s):  
Björn Herrmann ◽  
Molly J. Henry ◽  
Ingrid S. Johnsrude ◽  
Jonas Obleser

2007 ◽  
Vol 18 (6) ◽  
pp. 1350-1360 ◽  
Author(s):  
C. F. Altmann ◽  
H. Nakata ◽  
Y. Noguchi ◽  
K. Inui ◽  
M. Hoshiyama ◽  
...  

NeuroImage ◽  
2004 ◽  
Vol 22 (2) ◽  
pp. 755-766 ◽  
Author(s):  
Alexander Gutschalk ◽  
Roy D Patterson ◽  
Michael Scherg ◽  
Stefan Uppenkamp ◽  
André Rupp

2003 ◽  
Vol 18 (2) ◽  
pp. 432-440 ◽  
Author(s):  
Takako Fujioka ◽  
Bernhard Ross ◽  
Hidehiko Okamoto ◽  
Yasuyuki Takeshima ◽  
Ryusuke Kakigi ◽  
...  

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