Sustained Magnetic Fields Reveal Separate Sites for Sound Level and Temporal Regularity in Human Auditory Cortex

NeuroImage ◽  
2002 ◽  
Vol 15 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Alexander Gutschalk ◽  
Roy D. Patterson ◽  
André Rupp ◽  
Stefan Uppenkamp ◽  
Michael Scherg
NeuroImage ◽  
2022 ◽  
pp. 118879
Author(s):  
Seung-Goo Kim ◽  
Tobias Overath ◽  
William Sedley ◽  
Sukhbinder Kumar ◽  
Sundeep Teki ◽  
...  

2005 ◽  
Vol 93 (1) ◽  
pp. 210-222 ◽  
Author(s):  
Michael P. Harms ◽  
John J. Guinan ◽  
Irina S. Sigalovsky ◽  
Jennifer R. Melcher

Functional magnetic resonance imaging (fMRI) of human auditory cortex has demonstrated a striking range of temporal waveshapes in responses to sound. Prolonged (30 s) low-rate (2/s) noise burst trains elicit “sustained” responses, whereas high-rate (35/s) trains elicit “phasic” responses with peaks just after train onset and offset. As a step toward understanding the significance of these responses for auditory processing, the present fMRI study sought to resolve exactly which features of sound determine cortical response waveshape. The results indicate that sound temporal envelope characteristics, but not sound level or bandwidth, strongly influence response waveshapes, and thus the underlying time patterns of neural activity. The results show that sensitivity to sound temporal envelope holds in both primary and nonprimary cortical areas, but nonprimary areas show more pronounced phasic responses for some types of stimuli (higher-rate trains, continuous noise), indicating more prominent neural activity at sound onset and offset. It has been hypothesized that the neural activity underlying the onset and offset peaks reflects the beginning and end of auditory perceptual events. The present data support this idea because sound temporal envelope, the sound characteristic that most strongly influences whether fMRI responses are phasic, also strongly influences whether successive stimuli (e.g., the bursts of a train) are perceptually grouped into a single auditory event. Thus fMRI waveshape may provide a window onto neural activity patterns that reflect the segmentation of our auditory environment into distinct, meaningful events.


2002 ◽  
Vol 87 (1) ◽  
pp. 423-433 ◽  
Author(s):  
André Brechmann ◽  
Frank Baumgart ◽  
Henning Scheich

Recognition of sound patterns must be largely independent of level and of masking or jamming background sounds. Auditory patterns of relevance in numerous environmental sounds, species-specific vocalizations and speech are frequency modulations (FM). Level-dependent activation of the human auditory cortex (AC) in response to a large set of upward and downward FM tones was studied with low-noise (48 dB) functional magnetic resonance imaging at 3 Tesla. Separate analysis in four territories of AC was performed in each individual brain using a combination of anatomical landmarks and spatial activation criteria for their distinction. Activation of territory T1b (including primary AC) showed the most robust level dependence over the large range of 48–102 dB in terms of activated volume and blood oxygen level dependent contrast (BOLD) signal intensity. The left nonprimary territory T2 also showed a good correlation of level with activated volume but, in contrast to T1b, not with BOLD signal intensity. These findings are compatible with level coding mechanisms observed in animal AC. A systematic increase of activation with level was not observed for T1a (anterior of Heschl's gyrus) and T3 (on the planum temporale). Thus these areas might not be specifically involved in processing of the overall intensity of FM. The rostral territory T1a of the left hemisphere exhibited highest activation when the FM sound level fell 12 dB below scanner noise. This supports the previously suggested special involvement of this territory in foreground-background decomposition tasks. Overall, AC of the left hemisphere showed a stronger level-dependence of signal intensity and activated volume than the right hemisphere. But any side differences of signal intensity at given levels were lateralized to right AC. This might point to an involvement of the right hemisphere in more specific aspects of FM processing than level coding.


2013 ◽  
Vol 28 (3) ◽  
pp. 459-470 ◽  
Author(s):  
Sumru Keceli ◽  
Hidehiko Okamoto ◽  
Ryusuke Kakigi

2008 ◽  
Vol 1220 ◽  
pp. 102-117 ◽  
Author(s):  
Reinhard König ◽  
Cezary Sielużycki ◽  
Constantinos Simserides ◽  
Peter Heil ◽  
Henning Scheich

2018 ◽  
Vol 38 (8) ◽  
pp. 1989-1999 ◽  
Author(s):  
Björn Herrmann ◽  
Burkhard Maess ◽  
Ingrid S. Johnsrude

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