ライフサイエンスコーパス: multisensory

1 (21%), unimodal sensory-and-motor (23%), and multisensory (19%) neurons.

2 ody and relies on the dynamic integration of multisensory (afferent) signals.

3 citatory input was thought to originate from multisensory afferents synapsing directly onto the M-cel

4 find that the tracking behavior is, in fact, multisensory and arises from a linear summation of visua

5 dings showed that while many VLPFC units are multisensory and respond to faces, vocalizations, or the

6 Peripersonal space (PPS) is a multisensory and sensorimotor interface mediating every

7 A multisensory and sensorimotor interface, the peripersona

8 rom MGv, but received additional inputs from multisensory areas outside the MGN (30% in RTp vs. 1-5%

9 Multisensory areas process information from more than on

10 imagery and may be mediated by higher-level multisensory areas.

11 m the attenuation of neural responses in key multisensory areas.

12 cohort study, we measured physical activity (multisensory armband), airflow obstruction (FEV1), healt

13 illatory neuronal activity in unisensory and multisensory association networks.

14 obesity, we investigated performance in two multisensory audiovisual temporal tasks, namely simultan

15 onded to unisensory (auditory or visual) and multisensory (audiovisual) stimuli with a button press,

16 Eating is a multisensory behavior.

17 modeling separate sensory pathways within a multisensory behavior.

18 ccur and tested the predicted enhancement of multisensory binding as assessed with a simultaneity jud

19 As a result, multisensory binding became more likely despite unchange

20 nked self-consciousness to the processing of multisensory bodily signals (bodily self-consciousness [

21 olves spatio-temporal mechanisms integrating multisensory bodily stimuli within peripersonal space (P

22 l mechanism accounting for the dependency of multisensory body representation upon the Immune system.

23 d proprioceptive information into a flexible multisensory body representation.

24 nding the fine-scale spatial organization of multisensory brain regions is fundamental to shed light

25 ral data, a new study now sheds light on how multisensory causal inference maps onto specific brain a

26 sons is known to be mediated by a number of "multisensory" cerebral regions, such as the right poster

27 tion evolution that ignores its foundational multisensory characteristics and cooperative nature will

28 insect nervous system, we reconstructed the multisensory circuit supporting the synergy, spanning mu

29 nce architecture may be a general feature of multisensory circuits enabling complex input-output func

30 for adaptive control of behavioral output in multisensory circuits.

31 We describe MDT odor and multisensory coding and demonstrate behavior-dependent f

32 ete areas that receive auditory, visual, and multisensory collothalamic projections.

33 entity processing and for the integration of multisensory communication information.

34 After isolating the multisensory components of AV-VA event-related potential

35 r common target neuron and (2) the resultant multisensory computation is modified in shape and timing

36 We show that tectal circuits can perform multisensory computations independently and, hence, conf

37 Moreover, the responses to the multisensory condition exceeded the linear summation of

38 The brain has evolved in this multisensory context to perceive the world in an integra

39 cross-modal predictive facilitation involves multisensory convergence areas subserving the representa

40 ques shows the existence of neurons in three multisensory cortical regions, dorsal medial superior te

41 These findings demonstrate that multisensory cues facilitate the perceptual dissociation

42 ely on acoustic interactions, but the use of multisensory cues should aid in coordinating behavior be

43 we evaluated rat PPC neurons recorded during multisensory decisions.

44 red under the title of neuroscience-inspired multisensory design.

45 ual and rostral PPC (PPCr) has eight or more multisensory domains where electrical stimulation evokes

46 iated with the absence of a well-established multisensory effect (visual enhancement of touch) in TMS

47 LFPs) and multiunit activity, we demonstrate multisensory effects in the superficial layers of the ca

48 visuo-vestibular integration to investigate multisensory effects on tactile sensitivity in humans.

49 al feature of MSI stating that the amount of multisensory enhancement observed inversely depends on t

50 ons (where it happened) within two different multisensory enriched environments (in which context/occ

51 Attending to a single stimulus in a complex multisensory environment requires the ability to select

52 pathway facilitates speech comprehension in multisensory environments.

53 pisodic memories are information-rich, often multisensory events that rely on binding different eleme

54 However, prior multisensory exploration of the task-relevant objects re

55 uitry involved in representing that object's multisensory features in memory.

56 Representations of context incorporate multisensory features of the environment, but must someh

57 LPFC neurons were both bimodal and nonlinear multisensory, fostering their ability to respond to chan

58 Across a series of experiments, multisensory full-body illusions were used to modulate f

59 We illustrate the dynamism in multisensory function across two timescales: one long te

60 wer frequencies and was shown to predict the multisensory gain in behavioral performance at a time la

61 idate the neural bases of the integration of multisensory hand signals according to basic spatiotempo

62 In addition, multisensory heading discrimination thresholds measured

63 aging and an adapted version of a well known multisensory illusion, we investigated the neural basis

64 ass" the peripheral nervous system to induce multisensory illusions and ownership of artificial body

65 However, it was unclear how multisensory influences occur at the neuronal level with

66 Our results reveal small multisensory influences that were limited to a spatial w

67 gests that low-level sensory areas integrate multisensory information at early processing stages, lit

68 y contribute to the processing of coincident multisensory information at the level of individual GCs.

69 specifically in the integration of motor and multisensory information for perception.

70 n in ASD is an impaired ability to integrate multisensory information into a unified percept.

71 ficant implications for our understanding of multisensory information processing, suggesting that the

72 s a flexible representation of the body from multisensory information.

73 gs also advance predictions on the impact of multisensory input on neuronal processes in face areas a

74 fore provide distinct parallel processing of multisensory input to their targets.

75 , which refers to the fact that responses to multisensory inputs are substantially faster than to uni

76 perties permit temporal coding of correlated multisensory inputs by single GCs, thereby enriching sen

77 Multisensory inputs can thus regulate event-detection wi

78 rates auditory signals from the cochlea with multisensory inputs from several brainstem nuclei and re

79 Phase synchrony to multisensory inputs was faster than to unisensory stimul

80 ainstem taste-related nuclei also respond to multisensory inputs.

81 We compared the emergence of multisensory integration (MSI) in the IC of behaviorally

82 Multisensory integration (MSI) is the process that allow

83 n from different sources, a process known as multisensory integration (MSI).

84 ions and synchrony act as prominent cues for multisensory integration [2-4], but the neural mechanism

85 dy part other than the hand, suggesting that multisensory integration according to basic spatial and

86 that a similar network can learn to perform multisensory integration and coordinate transformations

87 but also temporal delays to perform optimal multisensory integration and feedback control in real-ti

88 s (SC) is a midbrain structure important for multisensory integration and sensorimotor transformation

89 observations are discussed in the context of multisensory integration and spatial, temporal predictio

90 the significance of preserved abilities for multisensory integration and top-down processing in mini

91 tive process by which the neural products of multisensory integration are achieved is poorly understo

92 nvolved in the detection of disease cues and multisensory integration are vital parts.

93 We observed that multisensory integration areas exhibited enhanced functi

94 results tend to support earlier concepts of multisensory integration as relatively late and centered

95 We have used the C. elegans model to examine multisensory integration at the interneuron level to bet

96 nsively before decision making, with altered multisensory integration being associated with disorders

97 We investigated the dynamics of multisensory integration between vision and touch using

98 ry displacement), indicating facilitation of multisensory integration by motoric visuomotor congruenc

99 Studies of multisensory integration by single neurons have traditio

100 We propose that flexible multisensory integration can be explained by a combinati

101 ge, the potential for acquiring or modifying multisensory integration capabilities extends well into

102 by noise-rearing can develop visual-auditory multisensory integration capabilities rapidly when perio

103 t in the requirements for the development of multisensory integration capabilities.

104 ject oddity procedure that detects selective multisensory integration deficits in a rat model of schi

105 Bayesian models propose that multisensory integration depends on both sensory evidenc

106 Its capacity for multisensory integration develops in cats 1-4 months aft

107 ng debate in neuroscience is to which extent multisensory integration emerges already in primary sens

108 Altered multisensory integration has been reported in autism; ho

109 also motivated recent theories of defective multisensory integration in ASD.

110 n widespread theories of impaired global and multisensory integration in ASD.

111 zation of the SC and for the neural basis of multisensory integration in general.

112 tisensory object oddity (MSO) task to assess multisensory integration in ketamine-treated rats, a wel

113 Nonetheless, multisensory integration in obesity has been scantily in

114 ide the first comprehensive investigation of multisensory integration in obesity.

115 Procedures to evaluate multisensory integration in rodent models are lacking.

116 to investigate audio-haptic coordination and multisensory integration in the auditory cortex.

117 ntly, present a novel framework for indexing multisensory integration in the context of continuous sp

118 at training leads to two distinct effects on multisensory integration in the form of (i) a specific n

119 tent with a nicotinic-GABAergic mechanism of multisensory integration in the prefrontal cortex, resul

120 was functionally connected to core areas of multisensory integration in the superior temporal sulcus

121 sciousness, consistent with an inhibition of multisensory integration in this network.

122 These canonical operations subsume multisensory integration into a fundamental set of princ

123 Multisensory integration is a powerful mechanism for con

124 Atypical multisensory integration is an understudied cognitive sy

125 Multisensory integration is disrupted in patients with s

126 This suggests that multisensory integration is flexible and context depende

127 urons show that this "temporal principle" of multisensory integration is more nuanced than previously

128 he large-scale cortical network underpinning multisensory integration is reorganized due to expertise

129 or extrinsic factors.SIGNIFICANCE STATEMENT Multisensory integration is the process by which the bra

130 Therefore, multisensory integration not only improves the precision

131 In background noise, multisensory integration occurred at much lower frequenc

132 These data provide a rare example of multisensory integration occurring at the level of the s

133 n mechanism operating in brain regions where multisensory integration occurs.

134 icating that V6 is unlikely to contribute to multisensory integration of heading signals, unlike othe

135 d be used as a reliable measure for studying multisensory integration processing in humans.

136 Development and validation of multisensory integration tasks for animal models is esse

137 e growing realization that the same rules of multisensory integration that have been thoroughly explo

138 science understanding of the rules governing multisensory integration to the design of better product

139 ltisensory integration, and the magnitude of multisensory integration were all found to differ by lay

140 omotor congruence is sufficient for inducing multisensory integration, and importantly, if biomechani

141 ensory neurons, the share of neurons showing multisensory integration, and the magnitude of multisens

142 mmunological conditions where alterations of multisensory integration, body representation and dysfun

143 T Intersensory timing is a crucial aspect of multisensory integration, determining whether and how in

144 ision-making, context-dependent integration, multisensory integration, parametric working memory, and

145 In multisensory integration, processing in one sensory moda

146 principles, including timescale invariance, multisensory integration, rhythmical structure, and atte

147 s, as well as the higher-order properties of multisensory integration, such as the dependency of mult

148 ibly reduces deafference during asynchronous multisensory integration.

149 rship illusions on the temporal dimension of multisensory integration.

150 which one of the neural mechanisms enabling multisensory integration.

151 ility and higher-level processes involved in multisensory integration.

152 traints encoded in the body schema influence multisensory integration.

153 structures and is thought to play a role in multisensory integration.

154 a plastic brain representation emerging from multisensory integration.

155 ant pathophysiological processes involved in multisensory integration.

156 of this model to analyze the complexities of multisensory integration.

157 een cross-modal inputs, an important cue for multisensory integration.

158 resent a novel, two-step metric for defining multisensory integration.

159 e modulation of self-face recognition during multisensory integration.

160 ance the experience of body ownership during multisensory integration.

161 r diverse feature domains (e.g., motion) and multisensory integration.

162 t biomechanical constraints are processed in multisensory integration.

163 ularly interested in cellular computation of multisensory integration.

164 ive attention that is triggered by bottom-up multisensory integration.

165 rt for a divisive normalization mechanism in multisensory integration.

166 specialist, is a classic model for studying multisensory integration.

167 same neural mechanisms that are involved in multisensory integration.

168 rately approach neuronal operations of human multisensory integration.

169 more accurate functional topography of human multisensory integration.SIGNIFICANCE STATEMENT The bimo

170 g a well established behavioral correlate of multisensory integration: the redundant target effect (R

171 bservations seem counterintuitive given that multisensory integrative capabilities ordinarily develop

172 es, as opposed to fusion of AV percepts in a multisensory integrator.

173 The lack of multisensory interaction in the present data suggests th

174 We propose a hierarchical multisensory interaction that underpins somatosensory mo

175 ies, which may be representative of adaptive multisensory interactions across taxa.

176 Our results demonstrate that multisensory interactions in primary and association cor

177 These early multisensory interactions may therefore form a physiolog

178 oscientists increasingly reveals the complex multisensory interactions that give rise to the flavor e

179 ces that seem to implement and update such a multisensory limb representation, but this has been diff

180 n body ownership illusions showed how simple multisensory manipulation can generate the illusory expe

181 anding example of the pivotal role played by multisensory mechanisms in body representation is the Ru

182 s via direct or indirect routes (e.g., via a multisensory mediator).

183 sses underlying this we need to consider the multisensory milieu of the newborn infant.

184 ing of large groups of neurons, we show that multisensory modulation of V1 populations is strongly de

185 fects core aspects of visual processing, and multisensory modulations of vision originate on multiple

186 We ask where and how multisensory navigational information is integrated and

187 Interestingly, multisensory neurons appeared to encode a behavioral dec

188 Multisensory neurons in animals whose cross-modal experi

189 By examining multisensory neurons in cat superior colliculus, the pre

190 We examine how diversity in a population of multisensory neurons may be exploited to decode self-mot

191 The proportion of multisensory neurons, the share of neurons showing multi

192 d according to the vestibular preferences of multisensory neurons.

193 hich received 80% of its thalamic input from multisensory nuclei (primarily medial pulvinar).

194 GABAergic transmission in the integration of multisensory object features, a cognitive process with r

195 evant objects are informed by integration of multisensory object features.

196 We developed a novel multisensory object oddity (MSO) task to assess multisen

197 We present a novel multisensory object oddity procedure that detects select

198 tes has suggested that PRh is sufficient for multisensory object representation.

199 om primates indicating a key role for PRh in multisensory object representation.

200 n rats to study the neurobiological basis of multisensory object representation.

201 ting to the creation of a temporally unified multisensory object.

202 The perception of flavor is perhaps the most multisensory of our everyday experiences.

203 well established that perception is largely multisensory; often served by modalities such as touch,

204 its lateral cortex appears to be involved in multisensory operations and receives input from somatose

205 insights on multisensory processing, yet the multisensory operations at the neuronal level in humans

206 relevant for supporting different classes of multisensory operations, for example, auditory enhanceme

207 TBWs correlate within individuals and across multisensory pairings, but PSSs do not.

208 our different senses to generate a coherent multisensory percept of the world around us, but how doe

209 eractions reveals the hierarchical nature of multisensory perception in human neocortex.

210 d the neural basis of mental imagery-induced multisensory perception in humans.

211 ical-somatosensory stimulation to create the multisensory perception that an artificial limb belongs

212 esults demonstrate that osseoperception is a multisensory perception, which can explain the improved

213 i in one's mind--can also lead to integrated multisensory perception; however, the neural mechanisms

214 Results do not support generalization of multisensory perceptual learning to other multisensory t

215 Spatial navigation is a multisensory process involving integration of visual and

216 Multisensory processes are fundamental in scaffolding pe

217 sal Inference is performed by a hierarchy of multisensory processes in the human brain.

218 We conclude that these highly dynamic multisensory processes, based on the relative weighting

219 also the latter can be a reliable measure of multisensory processes.

220 rsus learned associations dynamically shapes multisensory processes.

221 there are similar differences in audiovisual multisensory processes.

222 and place important constraints on models of multisensory processing and plasticity.

223 We suggest that multisensory processing areas may mediate the transfer o

224 ce-sensitive areas within the unisensory and multisensory processing hierarchies.

225 Recent evidence of multisensory processing in primary visual cortices furth

226 dulated responses in regions associated with multisensory processing in which the strength of modulat

227 Such impairments in multisensory processing may cascade into higher-level de

228 gated self-consciousness associated with the multisensory processing of bodily signals (e.g., somatos

229 tions of the posterior thalamic nuclei (Po), multisensory processing of information related to aversi

230 aximized the perceptual benefit conferred by multisensory processing relative to unisensory processin

231 Visual contrast did not influence multisensory processing when the audiovisual stimulus pa

232 I research have revealed crucial insights on multisensory processing, yet the multisensory operations

233 enital visual deprivation affects visual and multisensory processing.

234 s in this network with concurrent changes in multisensory processing.

235 t better accounts for the sensitivity of the multisensory product to differences in the timing of cro

236 model was also able to explain why different multisensory products are often observed in different ne

237 nsory integration, such as the dependency of multisensory products on the temporal alignment of cross

238 ly placental mammals, PPC likely was a small multisensory region much like PPC of extant rodents and

239 especially compared with classically defined multisensory regions in temporal association cortex.

240 erm that operates during the learning of new multisensory relations.

241 depend upon the receiver forming a coherent multisensory representation of communication signals, su

242 miting our understanding of how our internal multisensory representation of space develops.

243 (receptotopic) maps, including a substantial multisensory representation of the lower body and lower

244 cross-modal congruence, integrate it into a multisensory representation of the upper limb in space.

245 ple modalities is integrated into a coherent multisensory representation.

246 at the cerebellum establishes time-dependent multisensory representations on different levels, releva

247 of different sensory modalities into unique multisensory representations, a process governed by spat

248 rginalization by taking advantage of diverse multisensory representations.

249 is decisively supported by three decades of multisensory research.

250 o use these principles to predict a neuron's multisensory response accurately armed only with knowled

251 hable from the neuron's actual instantaneous multisensory response at any phase throughout its entire

252 ng it to predict a neuron's moment-by-moment multisensory response given only knowledge of its respon

253 formation is integrated in real time and the multisensory response is shaped by calibrating inhibitio

254 nsory component responses and its integrated multisensory response, it was found that this multisenso

255 from controls, causing different patterns in multisensory responses compared to controls.

256 trolateral prefrontal cortex (VLPFC) exhibit multisensory responses to faces and vocalizations presen

257 Larger multisensory responses were achieved when stronger respo

258 ing of ongoing oscillations, and the sign of multisensory responses.

259 sensory responses to the bimodal response as multisensory responses.

260 the prominence of two key types of neuronal multisensory responses: enhancement or suppression.

261 tibular cues are first combined to produce a multisensory self-motion percept.

262 However, because multisensory signals are subject to differential transmi

263 emporo-parietal processing of trunk-centered multisensory signals in PPS is of particular relevance f

264 ty provides an essential cue for integrating multisensory signals into a unified perception.

265 linked to the processing and integration of multisensory signals.

266 rivation in early life on the development of multisensory simultaneity perception.

267 liabilities and top-down task relevance into multisensory spatial priority maps to guide spatial orie

268 be a simplified model of causal inference in multisensory speech perception (CIMS) that predicts the

269 oth the correct somatosensory as well as the multisensory state representations are vital for an inta

270 In this paradigm, multisensory stimulation induces a sense of ownership ov

271 ody can be induced through specific forms of multisensory stimulation, such as synchronous visuotacti

272 e at which subjects are most likely to judge multisensory stimuli to be simultaneous (PSS) and the te

273 Reaction times (RTs) to multisensory stimuli were compared with predictions from

274 Multisensory superior parietal areas located anterior to

275 ationship with respect to true and perceived multisensory synchrony.

276 sted) as this increases the flexibility of a multisensory system, allowing an animal to perceive its

277 Animal multisensory systems are able to cope with discrepancies

278 of multisensory perceptual learning to other multisensory tasks.

279 Neither multisensory teaching nor online self-study significantl

280 ok part in the study aimed at describing the multisensory temporal binding window (TBW).

281 Numerous studies have described a multisensory temporal binding window-the time window wit

282 resent the first to illustrate links between multisensory temporal function and speech processing in

283 ASD was strongly related to their low-level multisensory temporal processing abilities.

284 To investigate multisensory temporal processing deficits in ASD and the

285 To investigate possible multisensory temporal processing deficits in obesity, we

286 with ASD showed a speech-specific deficit in multisensory temporal processing.

287 rent study mapped performance on a number of multisensory temporal tasks (with both simple and comple

288 Performance on the multisensory temporal tasks varied with stimulus complex

289 2016) identified a neural circuit underlying multisensory threat-reward decision making using an eleg

290 ies in combining those techniques with broad multisensory training as experienced by infants and chil

291 cuity, suggesting a generalization effect of multisensory training on unisensory abilities.

292 roup with BiCIs improved significantly after multisensory training with interleaved auditory and visu

293 ultisensory response, it was found that this multisensory transform can be described by two basic pri

294 ration, but also identify quantitatively the multisensory transform used by each neuron.

295 -parietal regions, known to be important for multisensory upper limb processing.

296 hat suggests that an appropriate decoding of multisensory visual-vestibular neurons can estimate head

297 ly, individuals with ASD demonstrated intact multisensory (visual-vestibular) integration, even in th

298 ical network coincides with a well described multisensory visuotactile convergence and integration ne

299 Life in a multisensory world requires the rapid and accurate integ

300 e posterior ectosylvian field (EPp), and the multisensory zone (MZ).