Spatiotemporal properties of auditory intensity processing in multisensor MEG.

Loudness dependence of auditory evoked potentials (LDAEP) evaluates loudness processing in the human auditory system and is often altered in patients with psychiatric disorders. Previous research has suggested that this measure may be used as an indicator of the central serotonergic system through the highly serotonergic innervation of the auditory cortex. However, differences among the commonly used analysis approaches (such as source analysis and single electrode estimation) may lead to different results. Putatively due to discrepancies of the underlying structures being measured. Therefore, it is important to learn more about how and where in the brain loudness variation is processed. We conducted a detailed investigation of the LDAEP generators and their temporal dynamics by means of multichannel magnetoencephalography (MEG). Evoked responses to brief tones of five different intensities were recorded from 19 healthy participants. We used magnetic field tomography in order to appropriately localize superficial as well as deep source generators of which we conducted a time series analysis. The results showed that apart from the auditory cortex other cortical sources exhibited activation during the N1/P2 time window. Analysis of time courses in the regions of interest revealed a sequential cortical activation from primary sensory areas, particularly the auditory and somatosensory cortex to posterior cingulate cortex (PCC) and to premotor cortex (PMC). The additional activation within the PCC and PMC has implications on the analysis approaches used in LDAEP research.

Optimized mismatch negativity paradigm reflects deficits in schizophrenia patients. A combined EEG and MEG study.

Mismatch negativity (MMN) and its neuromagnetic analog (MMNm) are event-related brain responses elicited by changes in a sequence of auditory events and indexes early cognitive processing. It consistently detects neural processing deficits in schizophrenia. So far MMN is assessed with different methods (electroencephalography, EEG; magnetoencephalography, MEG) and with different paradigms: the "traditional" oddball design with rare deviants (20%) or the "optimum" design with 50% deviants varying in one of five parameters each. These MMN measures may not reflect one unitary mechanism which is equally affected in schizophrenia. We compared both designs in 12 patients with schizophrenia and controls using MEG and EEG. Automated, observer-independent data analysis rendered the procedures suitable for clinical applications. The optimum design was fastest to detect MMN and MEG had the best signal-to-noise ratio. In addition MMN was mostly reduced in schizophrenia if measured with MEG in the optimum paradigm. Optimized paradigms improve sensitivity and speed for the detection of schizophrenia endophenotypes. Dysfunctions in this disorder may lie primarily in the fast and automatic encoding of stimulus features at the auditory cortex.