Sub-clinical levels of autistic traits impair multisensory integration of audiovisual speech

Autism Spectrum Disorder (ASD) is a pervasive neurodevelopmental disorder characterized by restricted interests, repetitive behavior, deficits in social communication and atypical multisensory perception. ASD symptoms are found to varying degrees in the general population. While impairments in multisensory speech processing are widely reported in clinical ASD populations, the impact of sub-clinical levels of autistic traits on multisensory speech perception is still unclear. The present study examined audiovisual (AV) speech processing in a large non-clinical adult population in relation to autistic traits measured by the Autism Quotient. AV speech processing was assessed using the McGurk illusion, a simultaneity judgment task and a spoken word recognition task in background noise. We found that difficulty with Imagination was associated with lower susceptibility to the McGurk illusion. Furthermore, difficulty with Attention-switching was associated with a wider temporal binding window and reduced gain from lip-read speech. These results demonstrate that sub-clinical ASD symptomatology is related to reduced AV speech processing performance, and are consistent with the notion of a spectrum of ASD traits that extends into the general population

Suppression of the auditory N1 by visual anticipatory motion is modulated by temporal and identity predictability

The amplitude of the auditory N1 component of the event-related potential (ERP) is typically suppressed when a sound is accompanied by visual anticipatory information that reliably predicts the timing and identity of the sound. While this visually-induced suppression of the auditory N1 is considered an early electrophysiological marker of fulfilled prediction, it is not yet fully understood whether this internal predictive coding mechanism is primarily driven by the temporal characteristics, or by the identity features of the anticipated sound. The current study examined the impact of temporal and identity predictability on suppression of the auditory N1 by visual anticipatory motion with an ecologically valid audiovisual event (a video of a handclap). Predictability of auditory timing and identity was manipulated in three different conditions in which sounds were either played in isolation, or in conjunction with a video that either reliably predicted the timing of the sound, the identity of the sound, or both the timing and identity. The results showed that N1 suppression was largest when the video reliably predicted both the timing and identity of the sound, and reduced when either the timing or identity of the sound was unpredictable. The current results indicate that predictions of timing and identity are both essential elements for predictive coding in audition

Neural correlates of impaired motor-auditory prediction in Autism Spectrum Disorder

Individuals with autism spectrum disorder (ASD) have difficulties with the unexpected and unpredictable nature of external events. Prior knowledge of the statistics of the environment (i.e. priors, in terms of Bayesian statistical framework) can aid resolving these uncertainties. In individuals with ASD, these priors may either be ill-constructed or not appropriately combined with the actual sensory information, resulting in less-precise or attenuated priors (Pellicano and Burr, 2012). These ‘hypo-priors’ may cause a greater reliance on bottom-up incoming sensory signals, which in turn leads to every stimulus being experienced afresh. Here, we tested the hypo-priors hypothesis by examining the neural underpinnings of prediction of sensory consequences of motor actions in individuals with ASD and individuals with typical development (TD). In this experiment, subjects pressed a button at a steady pace, which generated a sound. In another condition, the sounds were replayed at the same pace. In individuals with TD, the auditory N1 potential induced by the sound was attenuated in the motor-auditory condition compared to the auditory-only condition, indicating that - as expected - the motor action predicted the sound and dampened the sensation (Bäss et al., 2008). In individuals with ASD, there was no auditory N1 attenuation, indicating that they relied more strongly on bottom-up auditory cues. These results show that individuals with ASD make less use of their priors to interpret the sensory environment and support the notion of hypo-priors as the underlying cause of atypical multisensory processing in ASD

Audio-visual speech in noise perception in dyslexia

Individuals with developmental dyslexia (DD) may experience, besides reading problems, other speech-related processing deficits. Here, we examined the influence of visual articulatory information (lip-read speech) at various levels of background noise on auditory word recognition in children and adults with DD. We found that children with a documented history of DD have deficits in their ability to gain benefit from lip-read information that disambiguates noise-masked speech. We show with another group of adult individuals with DD that these deficits persist into adulthood. These deficits could not be attributed to impairments in unisensory auditory word recognition. Rather, the results indicate a specific deficit in audio-visual speech processing and suggest that impaired multisensory integration might be an important aspect of DD

Minimum output entropy of bosonic channels: a conjecture

The von Neumann entropy at the output of a bosonic channel with thermal noise is analyzed. Coherent-state inputs are conjectured to minimize this output entropy. Physical and mathematical evidence in support of the conjecture is provided. A stronger conjecture--that output states resulting from coherent-state inputs majorize the output states from other inputs--is also discussed.Comment: 15 pages, 12 figure

Topology and energy transport in networks of interacting photosynthetic complexes

We address the role of topology in the energy transport process that occurs in networks of photosynthetic complexes. We take inspiration from light harvesting networks present in purple bacteria and simulate an incoherent dissipative energy transport process on more general and abstract networks, considering both regular structures (Cayley trees and hyperbranched fractals) and randomly-generated ones. We focus on the the two primary light harvesting complexes of purple bacteria, i.e., the LH1 and LH2, and we use network-theoretical centrality measures in order to select different LH1 arrangements. We show that different choices cause significant differences in the transport efficiencies, and that for regular networks centrality measures allow to identify arrangements that ensure transport efficiencies which are better than those obtained with a random disposition of the complexes. The optimal arrangements strongly depend on the dissipative nature of the dynamics and on the topological properties of the networks considered, and depending on the latter they are achieved by using global vs. local centrality measures. For randomly-generated networks a random arrangement of the complexes already provides efficient transport, and this suggests the process is strong with respect to limited amount of control in the structure design and to the disorder inherent in the construction of randomly-assembled structures. Finally, we compare the networks considered with the real biological networks and find that the latter have in general better performances, due to their higher connectivity, but the former with optimal arrangements can mimic the real networks' behaviour for a specific range of transport parameters. These results show that the use of network-theoretical concepts can be crucial for the characterization and design of efficient artificial energy transport networks.Comment: 14 pages, 16 figures, revised versio

Postgraduate Research Studies handbook

2001 handbook for Postgraduate Research Studie