Interaction of Cortical Responses to Somatic and Auditory Stimuli in Anterior Ectosylvian Gyrus of Cat

Berman, A. L.

doi:10.1152/jn.1961.24.6.608

Cited by 84 publications

(14 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the first 2 animals, responses were re corded with 0.5 mm diameter stainless steel wire (macroelectrodes) and in all the other animals penetrating tungsten microelectrodes (15-60 um of the tip exposed and 1-15 /<m diameter) [Johnson er al., 1974] were used. The neural response re corded by macroelectrodes consisted of a 'slow wave' change in cortical potential, the traditional 'evoked potential' response [Berman, 1961b]; while microelectrodes yielded both evoked slow waves and 'unit cluster' activity [Johnson el al., 1974] in response to stimulation.…”

Section: Methodsmentioning

confidence: 99%

Somatic Sensory Cortical Regions of the Agouti, <i>Dasyprocta aguti</i>

et al. 1980

View full text Add to dashboard Cite

The localization and organization of primary (SmI) and secondary (SmII) somatic sensory cortical regions in agoutis, have been studied with micro- and macroelectrode-evoked potential techniques. For SmI, the mean surface area determined using microelectrodes was 13% smaller than that obtained using macro-electrodes. The location and organization of SmI are similar to those of other rodents: the largest representations were those of the vibrissae, the perioral regions and the first digit of the hand. As in some other animals, SmII is related both sides of the body. It shows excellent somatotopic differentiation and was located lateral and posterior to SmI, in relation to which it is arranged as a reduced mirror image. The area of SmII represents 31% of that of SmI in agoutis. The large size of the forepaw representation in SmI is reflected in SmII, that of the face representation is not; this agrees with similar findings from several other species. SmI was completely mapped using light touch stimuli, and contains many projections from vibrissae and hairs along with some proprioceptive projections. SmI overlaps with visual projections. SmII receives less light touch, vibrissae and hair projections than SmI, and it receives numerous deep mechanical and auditory projections. In SmII latencies were 10.96 msec for somesthetic and 13.39 msec for auditory stimuli; in SmI latencies were 13.25 msec for somesthetic and 39.80 msec for visual stimuli. One sulcus separates the SmI projections of the forelimb from those of the hind-limb, and another is often found marking the posterolateral boundary of SmII.

show abstract

Section: Methodsmentioning

confidence: 99%

Somatic Sensory Cortical Regions of the Agouti, <i>Dasyprocta aguti</i>

et al. 1980

View full text Add to dashboard Cite

show abstract

“…In a number of mammals, one of these fields lying ventrally to the AI is named secondary auditory cortical field (AII). At the outer borders of the fields of the AII, multisensory association areas are located in which neurons receive visual or somatosensory in addition to auditory inputs [38][39][40][41][42][43][44][45] . The AC is involved in the analysis of natural stimuli [19] .…”

Section: Anatomy and Physiology Of The Acmentioning

confidence: 99%

Thalamocortical and Corticothalamic Interaction in the Auditory System

Zhang¹,

Chan²,

He³

2004

Neuroembryol Aging

View full text Add to dashboard Cite

The neuronal interconnections between thalamus and cortex modulate information transmission in the central auditory system. To facilitate the understanding of its modulation effects and mechanism, first, the recent progress on investigating the anatomical connections and the physiological properties of the medial geniculate body and auditory cortex is summarized. Second, the connectional pattern and functional organization in thalamocortical and corticothalamic network are described. Third, the strategic position and role of the thalamic reticular nucleus in the auditory system are demonstrated. Lastly, the functional implication of this integrated system and possible interactions between auditory thalamus and cortex are discussed. The thalamocortical and corticothalamic projections may work as a dynamic filter array in integrating sensory information and optimizing signal processing in the auditory system.

show abstract

“…The most commonly used metric of multisensory interactions in ERP research is the additive metric, or model (Barth et al 1995; Berman 1961; Besle et al 2004b). The additive model’s null hypothesis asserts that the multisensory response should equal the summed responses measured with both unisensory presentations in isolation, an assertion based on the law of superposition of electrical fields (Besle et al 2004b, 2009; Giard and Besle 2010).…”

mentioning

confidence: 99%

Inverse Effectiveness and Multisensory Interactions in Visual Event-Related Potentials with Audiovisual Speech

et al. 2012

View full text Add to dashboard Cite

In recent years, it has become evident that neural responses previously considered to be unisensory can be modulated by sensory input from other modalities. In this regard, visual neural activity elicited to viewing a face is strongly influenced by concurrent incoming auditory information, particularly speech. Here, we applied an additive-factors paradigm aimed at quantifying the impact that auditory speech has on visual event-related potentials (ERPs) elicited to visual speech. These multisensory interactions were measured across parametrically varied stimulus salience, quantified in terms of signal to noise, to provide novel insights into the neural mechanisms of audiovisual speech perception. First, we measured a monotonic increase of the amplitude of the visual P1-N1-P2 ERP complex during a spoken-word recognition task with increases in stimulus salience. ERP component amplitudes varied directly with stimulus salience for visual, audiovisual, and summed unisensory recordings. Second, we measured changes in multisensory gain across salience levels. During audiovisual speech, the P1 and P1-N1 components exhibited less multisensory gain relative to the summed unisensory components with reduced salience, while N1-P2 amplitude exhibited greater multisensory gain as salience was reduced, consistent with the principle of inverse effectiveness. The amplitude interactions were correlated with behavioral measures of multisensory gain across salience levels as measured by response times, suggesting that change in multisensory gain associated with unisensory salience modulations reflects an increased efficiency of visual speech processing.

show abstract

Interaction of Cortical Responses to Somatic and Auditory Stimuli in Anterior Ectosylvian Gyrus of Cat

Cited by 84 publications

References 0 publications

Somatic Sensory Cortical Regions of the Agouti, <i>Dasyprocta aguti</i>

Somatic Sensory Cortical Regions of the Agouti, <i>Dasyprocta aguti</i>

Thalamocortical and Corticothalamic Interaction in the Auditory System

Inverse Effectiveness and Multisensory Interactions in Visual Event-Related Potentials with Audiovisual Speech

Contact Info

Product

Resources

About