MEG Adaptation Resolves the Spatiotemporal Characteristics of Face-Sensitive Brain Responses.

Unlabelled: An unresolved goal in face perception is to identify brain areas involved in face processing and simultaneously understand the timing of their involvement. Currently, high spatial resolution imaging techniques identify the fusiform gyrus as subserving processing of invariant face features relating to identity. High temporal resolution imaging techniques localize an early latency evoked component-the N/M170-as having a major generator in the fusiform region; however, this evoked component is not believed to be associated with the processing of identity.

The role of phase-locking to the temporal envelope of speech in auditory perception and speech intelligibility.

The temporal envelope of speech is important for speech intelligibility. Entrainment of cortical oscillations to the speech temporal envelope is a putative mechanism underlying speech intelligibility. Here we used magnetoencephalography (MEG) to test the hypothesis that phase-locking to the speech temporal envelope is enhanced for intelligible compared with unintelligible speech sentences.

Stimulus variability affects the amplitude of the auditory steady-state response.

In this study we investigate whether stimulus variability affects the auditory steady-state response (ASSR). We present cosinusoidal AM pulses as stimuli where we are able to manipulate waveform shape independently of the fixed repetition rate of 4 Hz. We either present sounds in which the waveform shape, the pulse-width, is fixed throughout the presentation or where it varies pseudo-randomly.

Temporal dynamics of sinusoidal and non-sinusoidal amplitude modulation.

Previous behavioural studies in human subjects have demonstrated the importance of amplitude modulations to the process of intelligible speech perception. In functional neuroimaging studies of amplitude modulation processing, the inherent assumption is that all sounds are decomposed into simple building blocks, i.e.

Non-parametric statistical thresholding of baseline free MEG beamformer images.

Magnetoencephalography (MEG) provides excellent temporal resolution when examining cortical activity in humans. Inverse methods such as beamforming (a spatial filtering approach) provide the means by which activity at cortical locations can be estimated. To date, the majority of work in this field has been based upon power changes between active and baseline conditions.

Source stability index: a novel beamforming based localisation metric.

Many experimental studies into human brain function now use magnetoencephalography (MEG) to non-invasively investigate human neuronal activity. A number of different analysis techniques use the observed magnetic fields outside of the head to estimate the location and strength of the underlying neural generators. One such technique, a spatial filtering method known as Beamforming, produces whole-head volumetric images of activation.

MEG evidence that the central auditory system simultaneously encodes multiple temporal cues.

Speech contains complex amplitude modulations that have envelopes with multiple temporal cues. The processing of these complex envelopes is not well explained by the classical models of amplitude modulation processing. This may be because the evidence for the models typically comes from the use of simple sinusoidal amplitude modulations.