Faculty Bibliography

Cortical GABAergic interneurons in mice are largely derived from the subpallium. Work from our laboratory and others over the past five years has demonstrated that a developmental logic in space and time underlies the emergence of specific cortical interneuronal subtypes. Following on from the seminal work of the Rubenstein laboratory, we set out to fate map the output of the subpallial ganglionic eminences. Our initial approach utilized ultrasound backscatter microscopy to perform homotopic and heterotopic transplants of genetically marked progenitors from the lateral, medial and caudal ganglionic eminences (LGE, MGE and CGE, respectively) to unmarked host brains. The LGE, at least in the context of our transplant studies, did not appear to generate cortical interneurons. By contrast, we found that that approximately eighty percent of cortical interneurons arise from the MGE, while the remaining twenty percent were generated by the CGE. Hence, the majority of interneuron subtypes, including all fast spiking parvalbumin-positive basket cells and somatostatin-positive Martinotti cells appear to arise from the MGE. A more restricted set of cortical interneurons seems to be generated in the CGE, the majority of which are bipolar calretinin/VIP-positive interneurons. Complementing these results, we have recently demonstrated using inducible genetic fate mapping that the MGE produces specific cortical interneuron subtypes at discrete timepoints during development. These studies demonstrate that cortical interneurons arise from a precise developmental programme that acts in both space and time. Beyond this however, it seems likely that postmitotic events influence the specific function of subclasses of cortical interneurons. A primary challenge in the future will be to investigate what aspects of interneuron diversity are determined by intrinsic genetic programmes within each lineage versus those properties imposed by the local environment in the cortex

This article is devoted to statistical modeling and analysis of electrocorticogram (ECoG) signals induced by painful cutaneous laser stimuli, which were recorded from implanted electrodes in awake humans. Specifically, with statistical tools of factor analysis and independent component analysis, the pain-induced laser-evoked potentials (LEPs) were extracted and investigated under different controlled conditions. With the help of wavelet analysis, quantitative and qualitative analyses were conducted regarding the LEPs' attributes of power, amplitude, and latency, in both averaging and single-trial experiments. Statistical hypothesis tests were also applied in various experimental setups. Experimental results reported herein also confirm previous findings in the neurophysiology literature. In addition, single-trial analysis has also revealed many new observations that might be interesting to the neuroscientists or clinical neurophysiologists. These promising results show convincing validation that advanced signal processing and statistical analysis may open new avenues for future studies of such ECoG or other relevant biomedical recordings.

In this paper, we apply qualitative tools and quantitative analysis for the EEG recordings of 23 adult patients. Specifically, independent component analysis (ICA) was applied to separate independent source components, followed by spectrum analysis. In terms of quantitative EEG analysis, we use several complexity measures to evaluate the differences between two groups of patients: the subjects in deep coma, and the subjects who were prejudged as brain death. For the first time, we report statistically significant differences of quantitative statistics in such a clinical study. The empirical results reported in this paper suggest some promising directions and valuable clues for clinical practice.

Mutant alleles of MYH9 encoding a class II non-muscle myosin heavy chain-A (NMMHC-IIA) have been linked to hereditary megathrombocytopenia with or without additional clinical features that include sensorineural deafness, cataracts, and nephritis. To assess its biological role in the affected targets, particularly the inner ear, we have generated and characterized mice with Myh9 deficiency. These mice were generated using the XA136 ES cell line (BayGenomics, http://baygenomics.ucsf.edu/) carrying gene trap insertion in Myh9, within the intron flanking exons 4 and 5. Mice heterozygous for the Myh9 null allele, Myh9 +/- were expanded on C57BL/6J background. Intercross of the Myh9 +/- mice did not yield Myh9 -/- pups, indicating embryonic lethality, subsequently determined to occur at or before E7.5, thus precluding a post-natal analysis of the effects of complete Myh9 deficiency. The heterozygous mice were normal for their hearing, parameters of platelet integrity and renal function despite their Myh9 haplo-insufficiency. In addition, the age-dependent auditory threshold of the Myh9 +/- mice and their wild type littermates, spanning from 3 to 12 months of age, were similar indicating that Myh9 haplo-insufficiency does not contribute towards accelerated age-related hearing loss (AHL). The embryonic lethality associated with the complete Myh9 deficiency establishes a critical role for this non-muscle myosin in fetal development. The results of these studies do not support the Myh9 haploinsufficiency as a pathogenic factor in the etiology of auditory dysfunction

In traditional accounts, fluctuations in sustained and focused attention and associated attentional lapses during task performance are regarded as the result of failures of top-down and effortful higher order processes. The current paper reviews an alternative hypothesis: that spontaneous patterns of very low frequency (<0.1 Hz) coherence within a specific brain network ('default-mode network') thought to support a pattern of generalized task-non-specific cognition during rest, can persist or intrude into periods of active task-specific processing, producing periodic fluctuations in attention that compete with goal-directed activity. We review recent studies supporting the existence of the resting state default network, examine the mechanism underpinning it, describe the consequent temporally distinctive effects on cognition and behaviour of default-mode interference into active processing periods, and suggest some factors that might predispose to it. Finally, we explore the putative role of default-mode interference as a cause of performance variability in attention deficit/hyperactivity disorder