Effects of acute nicotine on somatosensory change-related cortical responses

Kodaira, Minori; Wasaka, Toshiaki; Motomura, Eishi; Tanii, Hisashi; Inui, Koji; Kakigi, Ryusuke

doi:10.1016/j.neuroscience.2012.10.060

Cited by 9 publications

(3 citation statements)

References 40 publications

(65 reference statements)

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“…Because a change detection system spontaneously operates to orient individuals to new sensory conditions, investigating change-related brain activity may help us elucidate the mechanisms of preattentive activation processes in the brain in response to sensory changes. To study this neural change detection system, we have previously examined change-related cortical responses that were specifically evoked by a new sensory event (Tanaka et al, 2008, 2009a; Inui et al, 2010a, b, 2012, 2013, 2018; Nishihara et al, 2011; Takeuchi et al, 2017, 2018). Similar change-related responses are identified in the auditory system (Jones, 1991; Akiyama et al, 2011; Yamashiro et al, 2011a; Ohoyama et al, 2012; Otsuru et al, 2012; Nakagawa et al, 2014), visual system (Urakawa et al, 2010a, b), and tactile system (Yamashiro et al, 2008, 2009, 2011b; Otsuru et al, 2011; Kodaira et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…To study this neural change detection system, we have previously examined change-related cortical responses that were specifically evoked by a new sensory event (Tanaka et al, 2008, 2009a; Inui et al, 2010a, b, 2012, 2013, 2018; Nishihara et al, 2011; Takeuchi et al, 2017, 2018). Similar change-related responses are identified in the auditory system (Jones, 1991; Akiyama et al, 2011; Yamashiro et al, 2011a; Ohoyama et al, 2012; Otsuru et al, 2012; Nakagawa et al, 2014), visual system (Urakawa et al, 2010a, b), and tactile system (Yamashiro et al, 2008, 2009, 2011b; Otsuru et al, 2011; Kodaira et al, 2013). Because change-related responses depend on the magnitude of the change in the sensory stimulus (Inui et al, 2010a, b; Nishihara et al, 2011; Yamashiro et al, 2011a), the length of the preceding control stimulus being compared (Inui et al, 2010a; Akiyama et al, 2011; Yamashiro et al, 2011a), and the probability of the control and change stimulus (Inui et al, 2010b; Ohoyama et al, 2012), the generation of change-related responses is based on sensory memory and comparison processes.…”

Section: Introductionmentioning

confidence: 99%

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Change-Related Acceleration Effects on Auditory Steady State Response

Sugiyama

Kinukawa

Takeuchi

et al. 2019

Front. Syst. Neurosci.

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Rapid detection of sensory changes is important for survival. We have previously used change-related cortical responses to study the change detection system and found that the generation of a change-related response was based on sensory memory and comparison processes. However, it remains unclear whether change-related cortical responses reflect processing speed. In the present study, we simultaneously recorded the auditory steady-state response (ASSR) and change-related response using magnetoencephalography to investigate the acceleration effects of sensory change events. Overall, 13 healthy human subjects (four females and nine males) completed an oddball paradigm with a sudden change in sound pressure used as the test stimulus, i.e., the control stimulus was a train of 25-ms pure tones at 75 dB for 1,200 ms, whereas the 29th sound at 700 ms of the test stimulus was replaced with a 90-dB tone. Thereafter, we compared the latency of ASSR among four probabilities of test stimulus (0, 25, 75, and 100%). For both the control and test stimulus, stronger effects of acceleration on ASSR were observed when the stimulus was rarer. This finding indicates that ASSR and change-related cortical response depend on physical changes as well as sensory memory and comparison processes. ASSR was modulated without changes in peripheral inputs, and brain areas higher than the primary cortex could be involved in exerting acceleration effects. Furthermore, the reduced latency of ASSR clearly indicated that a new sensory event increased the speed of ongoing sensory processing. Therefore, changes in the latency of ASSR are a sensitive index of accelerated processing.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Change-Related Acceleration Effects on Auditory Steady State Response

Sugiyama

Kinukawa

Takeuchi

et al. 2019

Front. Syst. Neurosci.

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“…Scopolamine (0.3 mg, i.v.) was found to reduce the P35m and P60m components of the somatosensory-evoked field (Huttunen et al, 2001), while nicotine (4 mg, buccal) was found to enhance change-related responses in secondary somatosensory cortex, but not primary somatosensory cortex (Kodaira et al, 2013). This is similar to the effect of nicotine on change-related auditory responses, where the early 50 ms component is unaltered, while the later 120 ms component was enhanced by nicotine (4 mg, buccal) (Otsuru et al, 2012).…”

Section: A Review Of Pharmaco-meg Studiesmentioning

confidence: 99%

The use of magnetoencephalography in the study of psychopharmacology (pharmaco-MEG)

Muthukumaraswamy

2014

J Psychopharmacol

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Magnetoencephalography (MEG) is a neuroimaging technique that allows direct measurement of the magnetic fields generated by synchronised ionic neural currents in the brain with moderately good spatial resolution and high temporal resolution. Because chemical neuromodulation can cause changes in neuronal processing on the millisecond time-scale, the combination of MEG with pharmacological interventions (pharmaco-MEG) is a powerful tool for measuring the effects of experimental modulations of neurotransmission in the living human brain. Importantly, pharmaco-MEG can be used in both healthy humans to understand normal brain function and in patients to understand brain pathologies and drug-treatment effects. In this paper, the physiological and technical basis of pharmaco-MEG is introduced and contrasted with other pharmacological neuroimaging techniques. Ongoing developments in MEG analysis techniques such as source-localisation, functional and effective connectivity analyses, which have allowed for more powerful inferences to be made with recent pharmaco-MEG data, are described. Studies which have utilised pharmaco-MEG across a range of neurotransmitter systems (GABA, glutamate, acetylcholine, dopamine and serotonin) are reviewed.

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