A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior.

Sleep and wake are understood to be slow, long-lasting processes that span the entire brain. Brain states correlate with many neurophysiological changes, yet the most robust and reliable signature of state is enriched in rhythms between 0.1 and 20 Hz. The possibility that the fundamental unit of brain state could be a reliable structure at the scale of milliseconds and microns has not been addressed due to the physical limits associated with oscillation-based definitions. Here, by analyzing high resolution neural activity recorded in 10 anatomically and functionally diverse regions of the murine brain over 24 h, we reveal a mechanistically distinct embedding of state in the brain. Sleep and wake states can be accurately classified from on the order of 100 to 101 ms of neuronal activity sampled from 100 µm of brain tissue. In contrast to canonical rhythms, this embedding persists above 1,000 Hz. This high frequency embedding is robust to substates and rapid events such as sharp wave ripples and cortical ON/OFF states. To ascertain whether such fast and local structure is meaningful, we leveraged our observation that individual circuits intermittently switch states independently of the rest of the brain. Brief state discontinuities in subsets of circuits correspond with brief behavioral discontinuities during both sleep and wake. Our results suggest that the fundamental unit of state in the brain is consistent with the spatial and temporal scale of neuronal computation, and that this resolution can contribute to an understanding of cognition and behavior.

A transparent µECoG array for simultaneous recording and optogenetic stimulation.

In this paper we report for the first time the design, fabrication and characterization of an optically transparent electrode array for micro-electrocorticography. We present a 49-channel µECoG array with an electrode pitch of 800 µm and a 16-channel linear µECoG array with an electrode pitch of 200 µm. The backing material was Parylene C. Transparent, sputtered indium tin oxide (ITO) was used in conjunction with e-beam evaporated gold to fabricate the electrodes. We provide electrochemical impedance characterization and light transmission data for the fabricated devices.

Python for large-scale electrophysiology.

Electrophysiology is increasingly moving towards highly parallel recording techniques which generate large data sets. We record extracellularly in vivo in cat and rat visual cortex with 54-channel silicon polytrodes, under time-locked visual stimulation, from localized neuronal populations within a cortical column. To help deal with the complexity of generating and analysing these data, we used the Python programming language to develop three software projects: one for temporally precise visual stimulus generation ("dimstim"); one for electrophysiological waveform visualization and spike sorting ("spyke"); and one for spike train and stimulus analysis ("neuropy"). All three are open source and available for download (http://swindale.ecc.ubc.ca/code). The requirements and solutions for these projects differed greatly, yet we found Python to be well suited for all three. Here we present our software as a showcase of the extensive capabilities of Python in neuroscience.

Muscle loading as a method to isolate the underlying tremor components in essential tremor and Parkinson's disease.

Tremor is clinically evaluated and classified on the basis of its response to limb posture (resting, postural, and kinetic tremor), but the mechanisms underlying this powerful influence remain unclear and no satisfactory method exists to identify or quantify underlying tremor subtypes. Postural change is closely linked to changes in gravitational load. We therefore assessed the effect of changes in muscle load on essential tremor (ET) and parkinsonian tremor (PT) independently of postural change. A motor accurately delivered a series of constant (0.2-1.2 Nm) flexion and extension torques about the affected wrist while subjects maintained a constant wrist angle by isometrically contracting wrist flexors or extensors against the applied loads. Linear regression of tremulous electromyogram (EMG) spectral peak amplitude against the applied loads estimated the magnitudes of the load-dependent (LDT) and load-independent (LIT) tremor components. The amplitude of ET was linearly related to increase in gravitational load. It thus contained a large LDT component and a small or absent LIT component. Muscle loading revealed significant LDT and LIT components in PT. LIT was dominant at zero load (classic rest tremor) but both components were present during loading (classic postural tremor). Muscle loading more clearly identifies tremor subtypes than postural effects alone. The method could be applied in clinical and pathophysiological studies.

Differential blockade of neuronal voltage-gated Na(+) and K(+) channels by antidepressant drugs.

The effects of a range of antidepressants were investigated on neuronal voltage-gated Na(+) and K(+) channels. With the exception of phenelzine, all antidepressants inhibited batrachotoxin-stimulated 22Na(+) uptake, most likely via negative allosteric inhibition of batrachotoxin binding to neurotoxin receptor site-2 on the Na(+) channel. Imipramine also produced a differential action on macroscopic Na(+) and K(+) channel currents in acutely dissociated rat dorsal root ganglion neurons. Imipramine produced a use-dependent block of Na(+) channels. In addition, there was a hyperpolarizing shift in the voltage-dependence of steady-state Na(+) channel inactivation and slowed repriming kinetics consistent with imipramine having a higher affinity for the inactivated state of the Na(+) channel. At higher concentrations, imipramine also blocked delayed-rectifier and transient outward K(+) currents in the absence of alterations to the voltage-dependence of activation or the kinetics of inactivation. These actions on voltage-gated ion channels may underlie the therapeutic and toxic effects of these drugs.