The Development of Cortical Multisensory Integration

Wallace, Mark T.; Carriere, Brian N.; Perrault, Thomas J.; Vaughan, J. William; Stein, Barry E.

doi:10.1523/jneurosci.3295-06.2006

Cited by 117 publications

(139 citation statements)

References 40 publications

Supporting

Mentioning

122

Contrasting

Unclassified

Order By: Relevance

“…Rather than simply being created as a by-product of the convergence of inputs from neighboring sensory representations, several observations suggest that the multisensory neurons in AES are likely to play an important functional role. First, despite the lack of any global spatiotopic organization for the visual and auditory representations in AES, individual multisensory neurons have highly overlapping receptive fields, suggesting a local organization unique to the multisensory population (Wallace et al 2006). Second, and as established in this and previous studies (Jiang et al 1994a;Wallace et al 1992Wallace et al , 2006, multisensory AES neurons actively integrate their different sensory inputs to generate responses that differ from either of the unisensory responses and that often differ from the response predicted based on a simple addition of these responses.…”

Section: On the Functional Role Of The Aesmentioning

confidence: 52%

“…First, despite the lack of any global spatiotopic organization for the visual and auditory representations in AES, individual multisensory neurons have highly overlapping receptive fields, suggesting a local organization unique to the multisensory population (Wallace et al 2006). Second, and as established in this and previous studies (Jiang et al 1994a;Wallace et al 1992Wallace et al , 2006, multisensory AES neurons actively integrate their different sensory inputs to generate responses that differ from either of the unisensory responses and that often differ from the response predicted based on a simple addition of these responses. Such an integrated output demonstrates that these neurons are actively transforming this input information, likely in a way that facilitates the behavioral and/or perceptual role of the AES.…”

Section: On the Functional Role Of The Aesmentioning

confidence: 52%

“…1D). In an effort to identify sensory-responsive neurons within the AES and to determine the neuronal selectivity that will be used to tailor later quantitative testing (see following text), a battery of search stimuli was used (for more detail see Perrault Jr et al 2003;Wallace et al 2006). Visual search stimuli consisted of moving bars of light projected onto a translucent tangent screen.…”

Section: Search Strategymentioning

confidence: 99%

“…Such an integrated output demonstrates that these neurons are actively transforming this input information, likely in a way that facilitates the behavioral and/or perceptual role of the AES. Although this functional role has remained enigmatic, the selectivities of the neuronal populations within AES and its anatomical input/output organization point toward its playing a role in eye movements (Kimura and Tamai 1992;Tamai et al 1989), spatial localization (Lomber and Payne 2004;Malhotra et al 2004Malhotra et al , 2007, motion perception (Nagy et al 2003b;Scannell et al 1996), and coordinate transformations between the different sensory systems (Wallace et al 1992(Wallace et al , 2006.…”

Section: On the Functional Role Of The Aesmentioning

confidence: 99%

“…Thus in addition to being divided into three distinct unisensory domains [i.e., the anterior ectosylvian visual area (AEV) (Benedek et al 1988;Mucke et al 1982;Norita et al 1986); the fourth somatosensory cortex (SIV) (Clemo and Stein 1982, 1983, 1984; and the auditory field AES (FAES) (Clarey andIrvine 1986, 1990a,b)], the AES also contains a substantial population of multisensory neurons. These multisensory neurons are clustered at the borders between the major unisensory domains (Wallace et al 2006; but see Jiang et al 1994a,b) and reflect the modalities represented in the neighboring domains (e.g., visual-auditory neurons are of highest incidence at the border between AEV and FAES). Such an organizational scheme has been suggested to be a general plan for cortical parcellation (Beauchamp et al 2004;Brett-Green et al 2003;Wallace et al 2004).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Spatial Heterogeneity of Cortical Receptive Fields and Its Impact on Multisensory Interactions

Carriere

Royal²,

Wallace³

2008

Journal of Neurophysiology

View full text Add to dashboard Cite

Carriere BN, Royal DW, Wallace MT. Spatial heterogeneity of cortical receptive fields and its impact on multisensory interactions. J Neurophysiol 99: 2357-2368, 2008. First published February 20, 2008 doi:10.1152/jn.01386.2007. Investigations of multisensory processing at the level of the single neuron have illustrated the importance of the spatial and temporal relationship of the paired stimuli and their relative effectiveness in determining the product of the resultant interaction. Although these principles provide a good first-order description of the interactive process, they were derived by treating space, time, and effectiveness as independent factors. In the anterior ectosylvian sulcus (AES) of the cat, previous work hinted that the spatial receptive field (SRF) architecture of multisensory neurons might play an important role in multisensory processing due to differences in the vigor of responses to identical stimuli placed at different locations within the SRF. In this study the impact of SRF architecture on cortical multisensory processing was investigated using semichronic single-unit electrophysiological experiments targeting a multisensory domain of the cat AES. The visual and auditory SRFs of AES multisensory neurons exhibited striking response heterogeneity, with SRF architecture appearing to play a major role in the multisensory interactions. The deterministic role of SRF architecture was tightly coupled to the manner in which stimulus location modulated the responsiveness of the neuron. Thus multisensory stimulus combinations at weakly effective locations within the SRF resulted in large (often superadditive) response enhancements, whereas combinations at more effective spatial locations resulted in smaller (additive/subadditive) interactions. These results provide important insights into the spatial organization and processing capabilities of cortical multisensory neurons, features that may provide important clues as to the functional roles played by this area in spatially directed perceptual processes.

show abstract

Section: On the Functional Role Of The Aesmentioning

confidence: 52%

Section: On the Functional Role Of The Aesmentioning

confidence: 52%

Section: Search Strategymentioning

confidence: 99%

Section: On the Functional Role Of The Aesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Spatial Heterogeneity of Cortical Receptive Fields and Its Impact on Multisensory Interactions

Carriere

Royal²,

Wallace³

2008

Journal of Neurophysiology

View full text Add to dashboard Cite

show abstract

Multisensory Assessment of Acoustic Comfort Aboard Metros: a Virtual Reality Study

Iachini

Maffei

Ruotolo

et al. 2012

Applied Cognitive Psychology

View full text Add to dashboard Cite

In this study, a multisensory methodology is used to assess acoustic comfort aboard different real-world metros by means of subjective annoyance and cognitive performance measures. Two experimental conditions were compared: unimodal versus bimodal. Immersive virtual reality was used to simulate journeys aboard metro coaches. Participants performed four tasks (Rey Test, Verbal Fluency, Backward Counting and Auditory Words Discrimination) while listening to metro sounds (unimodal condition) or while listening to metro sounds within a virtual metro coach (bimodal condition). At the end of each journey, participants reported their degree of noise annoyance. The results showed that cognitive performances were worse in the bimodal than in the unimodal condition. Moreover, the bimodal condition affected negatively the capacity to discriminate words and to count backward. However, reported noise annoyance was higher in the unimodal than bimodal condition. The theoretical and practical implications of these findings are discussed.

show abstract

Approaches to Understanding Multisensory Dysfunction in Autism Spectrum Disorder

2020

View full text Add to dashboard Cite

Abnormal sensory responses are a DSM‐5 symptom of autism spectrum disorder (ASD), and research findings demonstrate altered sensory processing in ASD. Beyond difficulties with processing information within single sensory domains, including both hypersensitivity and hyposensitivity, difficulties in multisensory processing are becoming a core issue of focus in ASD. These difficulties may be targeted by treatment approaches such as “sensory integration,” which is frequently applied in autism treatment but not yet based on clear evidence. Recently, psychophysical data have emerged to demonstrate multisensory deficits in some children with ASD. Unlike deficits in social communication, which are best understood in humans, sensory and multisensory changes offer a tractable marker of circuit dysfunction that is more easily translated into animal model systems to probe the underlying neurobiological mechanisms. Paralleling experimental paradigms that were previously applied in humans and larger mammals, we and others have demonstrated that multisensory function can also be examined behaviorally in rodents. Here, we review the sensory and multisensory difficulties commonly found in ASD, examining laboratory findings that relate these findings across species. Next, we discuss the known neurobiology of multisensory integration, drawing largely on experimental work in larger mammals, and extensions of these paradigms into rodents. Finally, we describe emerging investigations into multisensory processing in genetic mouse models related to autism risk. By detailing findings from humans to mice, we highlight the advantage of multisensory paradigms that can be easily translated across species, as well as the potential for rodent experimental systems to reveal opportunities for novel treatments. Lay Summary Sensory and multisensory deficits are commonly found in ASD and may result in cascading effects that impact social communication. By using similar experiments to those in humans, we discuss how studies in animal models may allow an understanding of the brain mechanisms that underlie difficulties in multisensory integration, with the ultimate goal of developing new treatments. Autism Res 2020, 13: 1430–1449. © 2020 International Society for Autism Research, Wiley Periodicals, Inc.

show abstract

The Development of Cortical Multisensory Integration

Cited by 117 publications

References 40 publications

Spatial Heterogeneity of Cortical Receptive Fields and Its Impact on Multisensory Interactions

Spatial Heterogeneity of Cortical Receptive Fields and Its Impact on Multisensory Interactions

Multisensory Assessment of Acoustic Comfort Aboard Metros: a Virtual Reality Study

Approaches to Understanding Multisensory Dysfunction in Autism Spectrum Disorder

Contact Info

Product

Resources

About