Properties and distribution of auditory neurons in the dorsolateral prefrontal cortex of the alert monkey

Azuma, Masao; Suzuki, Hisao

doi:10.1016/0006-8993(84)91434-3

Cited by 125 publications

(55 citation statements)

References 17 publications

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“…To support goal-directed behavior in different circumstances, they are proposed to be capable of encoding a range of different types of information, including the details of auditory and visual stimuli that are relevant to the current cognitive operation (Duncan, 2010). Support comes from single unit recordings, in which the firing rates of prefrontal and parietal cells have been shown to code task rules (e.g., Sigala, Kusunoki, Nimmo-Smith, Gaffan, & Duncan, 2008;Wallis, Anderson, & Miller, 2001;White & Wise, 1999), behavioral responses (e.g., Asaad, Rainer, & Miller, 1998;Niki & Watanabe, 1976), auditory stimuli (e.g., Romanski, 2007;Azumo & Suzuki, 1984), and visual stimuli (e.g., Freedman & Assad, 2006;Freedman, Riesenhuber, Poggio, & Miller, 2001;Hoshi, Shima, & Tanji, 1998;Rao, Rainer, & Miller, 1997).…”

Section: Discussionmentioning

confidence: 99%

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Woolgar

Jackson

Duncan

2016

Journal of Cognitive Neuroscience

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Abstract■ How is the processing of task information organized in the brain? Many views of brain function emphasize modularity, with different regions specialized for processing different types of information. However, recent accounts also highlight flexibility, pointing especially to the highly consistent pattern of frontoparietal activation across many tasks. Although early insights from functional imaging were based on overall activation levels during different cognitive operations, in the last decade many researchers have used multivoxel pattern analyses to interrogate the representational content of activations, mapping out the brain regions that make particular stimulus, rule, or response distinctions. Here, we drew on 100 searchlight decoding analyses from 57 published papers to characterize the information coded in different brain networks. The outcome was highly structured. Visual, auditory, and motor networks predominantly (but not exclusively) coded visual, auditory, and motor information, respectively. By contrast, the frontoparietal multiple-demand network was characterized by domain generality, coding visual, auditory, motor, and rule information. The contribution of the default mode network and voxels elsewhere was minor. The data suggest a balanced picture of brain organization in which sensory and motor networks are relatively specialized for information in their own domain, whereas a specific frontoparietal network acts as a domain-general "core" with the capacity to code many different aspects of a task. ■

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Section: Discussionmentioning

confidence: 99%

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Woolgar

Jackson

Duncan

2016

Journal of Cognitive Neuroscience

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“…2). [17][18][19] Thus, an increase in the content ratio within the beta band (13-30 Hz) would be indicative of brain activity.…”

Section: Eeg Analysismentioning

confidence: 99%

Effects of familiar voices on brain activity

Tanaka

Kudo

2012

Int J of Nursing Practice

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Effects of familiar voices on brain activityThis study aimed to examine the extent to which a familiar voice influences brain activity. Participants were nine healthy female volunteers aged 21-34 years old (with a mean age of 25.78 Ϯ 4.04 years). Brain activity was recorded during periods of silence, familiar and unfamiliar voices. Electroencephalographic data were collected and analyzed using a frequency rate set at 5 min. To account for emotional influences imbedded into the contents of the voice stimuli, both the voice of a familiar family member and the voice of a stranger were used to record a well-known Japanese fairy tale, 'Momotaro'. Results revealed that listening to familiar voices increased the rate of the b band (13-30 Hz) in all four brain areas (F3, F4, C3 and C4). In particular, increased activity was observed at F4 and C4. Findings revealed that in study, participants' familiar voices activated cerebral functioning more than unfamiliar voices.

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“…For example, studies have shown that neurons are responsive to simple auditory stimuli in the periarcuate region (Azuma & Suzuki, 1984;Ito, 1982;Vaadia, Benson, Hienz, & Goldstein, 1986) and that lesions of the periarcuate cortex can impair auditory discrimination in primates (Gross & Weiskrantz, 1962;Petrides, 1986). Evidence of a spatial auditory function was demonstrated by investigations showing that neurons in the periarcuate region that respond to auditory stimuli are affected by the location of the sound source (Azuma & Suzuki, 1984;Kikuchi-Yorioka & Sawaguchi, 2000;Russo & Bruce, 1989) and that the auditory responses of these neurons are affected by changes in gaze (Russo & Bruce, 1989), which is in agreement with the FEF's role in saccadic eye movements to salient targets. Vaadia et al (1986) noted the increased response of neurons in the periarcuate region when nonhuman primates were engaged in an auditory localization task, as compared with a passive listening task.…”

Section: Evidence From Other Modalitiesmentioning

confidence: 99%

Domain specificity in the primate prefrontal cortex

Romanski

2004

Cognitive, Affective, & Behavioral Neuroscience

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Properties and distribution of auditory neurons in the dorsolateral prefrontal cortex of the alert monkey

Cited by 125 publications

References 17 publications

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Coding of Visual, Auditory, Rule, and Response Information in the Brain: 10 Years of Multivoxel Pattern Analysis

Effects of familiar voices on brain activity

Domain specificity in the primate prefrontal cortex

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