ABSTRACT
OBJECTIVES: In patients with schizophrenia, γ-band (30-70 Hz) auditory steady-state electroencephalogram responses (ASSR) are reduced in power and phase locking. Here, we examined whether γ-ASSR deficits are also present in a mouse model of schizophrenia, whose behavioural changes have shown schizophrenia-like endophenotypes. METHODS: Electroencephalogram in frontal cortex and local field potential in primary auditory cortex were recorded in phospholipase C ß1 (PLC-ß1) null mice during auditory binaural click trains at different rates (20-50 Hz), and compared with wild-type littermates. RESULTS: In mutant mice, the ASSR power was reduced at all tested rates. The phase locking in frontal cortex was reduced in the ß band (20 Hz) but not in the γ band, whereas the phase locking in auditory cortex was reduced in the γ band. The cortico-cortical connectivity between frontal and auditory cortex was significantly reduced in mutant mice. CONCLUSIONS: The tested mouse model of schizophrenia showed impaired electrophysiological responses to auditory steady state stimulation, suggesting that it could be useful for preclinical studies of schizophrenia".
Subject(s)
Auditory Cortex/physiopathology , Evoked Potentials, Auditory , Frontal Lobe/physiopathology , Schizophrenia/physiopathology , Acoustic Stimulation , Animals , Disease Models, Animal , Electroencephalography , Humans , Male , Mice , Mice, Inbred C57BL , Mice, KnockoutABSTRACT
This paper reviews several critical issues facing signal processing for brain-computer interfaces (BCIs) and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI Meeting at a workshop organized to review and evaluate the current state of, and issues relevant to, feature extraction and translation of field potentials for BCIs. The topics presented in this paper include the relationship between electroencephalography and electrocorticography, novel features for performance prediction, time-embedded signal representations, phase information, signal non-stationarity, and unsupervised adaptation.