Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information

Local field potentials (LFPs) reflect subthreshold integrative processes that complement spike train measures. However, little is yet known about the differences between how LFPs and spikes encode rich naturalistic sensory stimuli. We addressed this question by recording LFPs and spikes from the primary visual cortex of anesthetized macaques while presenting a color movie.Wethen determined how the power of LFPs and spikes at different frequencies represents the visual features in the movie.Wefound that the most informative LFP frequency ranges were 1– 8 and 60 –100 Hz. LFPs in the range of 12– 40 Hz carried little information about the stimulus, and may primarily reflect neuromodulatory inputs. Spike power was informative only at frequencies <12 Hz. We further quantified “signal correlations” (correlations in the trial-averaged power response to different stimuli) and “noise correlations” (trial-by-trial correlations in the fluctuations around the average) of LFPs and spikes recorded from the same electrode. We found positive signal correlation between high-gamma LFPs (60 –100 Hz) and spikes, as well as strong positive signal correlation within high-gamma LFPs, suggesting that high-gamma LFPs and spikes are generated within the same network. LFPs<24 Hz shared strong positive noise correlations, indicating that they are influenced by a common source, such as a diffuse neuromodulatory input. LFPs<40 Hz showed very little signal and noise correlations with LFPs>40Hzand with spikes, suggesting that low-frequency LFPs reflect neural processes that in natural conditions are fully decoupled from those giving rise to spikes and to high-gamma LFPs

Category-Specific Responses to Faces and Objects in Primate Auditory Cortex

Auditory and visual signals often occur together, and the two sensory channels are known to influence each other to facilitate perception. The neural basis of this integration is not well understood, although other forms of multisensory influences have been shown to occur at surprisingly early stages of processing in cortex. Primary visual cortex neurons can show frequency-tuning to auditory stimuli, and auditory cortex responds selectively to certain somatosensory stimuli, supporting the possibility that complex visual signals may modulate early stages of auditory processing. To elucidate which auditory regions, if any, are responsive to complex visual stimuli, we recorded from auditory cortex and the superior temporal sulcus while presenting visual stimuli consisting of various objects, neutral faces, and facial expressions generated during vocalization. Both objects and conspecific faces elicited robust field potential responses in auditory cortex sites, but the responses varied by category: both neutral and vocalizing faces had a highly consistent negative component (N100) followed by a broader positive component (P180) whereas object responses were more variable in time and shape, but could be discriminated consistently from the responses to faces. The face response did not vary within the face category, i.e., for expressive vs. neutral face stimuli. The presence of responses for both objects and neutral faces suggests that auditory cortex receives highly informative visual input that is not restricted to those stimuli associated with auditory components. These results reveal selectivity for complex visual stimuli in a brain region conventionally described as non-visual “unisensory” cortex

Political budget cycles and reelection prospects in Greece's municipalities

This paper considers the presence of political budget cycles in Greece's municipalities. We construct a new dataset from primary sources and we find strong evidence of pre-electoral manipulation through increased expenditures and excessive borrowing. We use a dynamic panel data approach producing evidence of opportunistic behavior in local government finances. Our results are robust in the face of a series of controls including mayors running for reelection, their political alignment with the central government, and prolonged terms. Moreover, the results are robust to the exclusion of small sized municipalities and to the restriction of the time range of our investigation to the post-Maastricht period. We also consider whether opportunistic policies influence incumbents' reelection prospects finding that increased expenditures and election year opportunistic excesses are electorally rewarding. Our findings provide a characterization of opportunistic public finance management in Greek municipalities where electorally motivated budgetary decisions appear impervious to the various municipal reform attempts

Comparing the Feature Selectivity of the Gamma-Band of the Local Field Potential and the Underlying Spiking Activity in Primate Visual Cortex

The local field potential (LFP), comprised of low-frequency extra-cellular voltage fluctuations, has been used extensively to study the mechanisms of brain function. In particular, oscillations in the gamma-band (30–90 Hz) are ubiquitous in the cortex of many species during various cognitive processes. Surprisingly little is known about the underlying biophysical processes generating this signal. Here, we examine the relationship of the local field potential to the activity of localized populations of neurons by simultaneously recording spiking activity and LFP from the primary visual cortex (V1) of awake, behaving macaques. The spatial organization of orientation tuning and ocular dominance in this area provides an excellent opportunity to study this question, because orientation tuning is organized at a scale around one order of magnitude finer than the size of ocular dominance columns. While we find a surprisingly weak correlation between the preferred orientation of multi-unit activity and gamma-band LFP recorded on the same tetrode, there is a strong correlation between the ocular preferences of both signals. Given the spatial arrangement of orientation tuning and ocular dominance, this leads us to conclude that the gamma-band of the LFP seems to sample an area considerably larger than orientation columns. Rather, its spatial resolution lies at the scale of ocular dominance columns

Perfusion-based functional imaging in the monkey brain at 7T: investigations of CASL parameters

Perfusion-based imaging in the monkey primary visual cortex was performed at 7 T applying continuous arterial spin labeling (CASL). Increased perfusion sensitivity and SNR at high magnetic field (due to larger T1) was further optimized using a custom-made three-coil setup with a separate neck labeling coil. We investigated the labeling parameters to obtain relative fCBF changes in the anaesthetized monkey. We report excellent functional activation of striate cortex at high resolution of 0.75x0.9mm2 in-plane. Interestingly, the optimal parameter set for obtaining highest signal changes of rCBF are different from the reported values for imaging gray matter CBF

Continuous arterial spin labeling (CASL) in the monkey brain at high magnetic field using a three-coil approach

CASL experiments in the monkey brain were performed at 4.7 T and 7 T using a separate labeling coil. Increased sensitivity and SNR were achieved by a custom-made three-coil setup and high magnetic field with its increased T1. We report the development and optimization of the setup and first experiments in the monkey (macaca mulatta). Parameters for continuous labeling (label power, label duration, post label delay) were optimized to measure gray matter rCBF and fCBF changes, reporting excellent multi-slice coverage at high resolution of 0.75 – 1 mm in-plane

Quantitative aspects of the microvascular system in macaque visual cortex

The basic principle of the most frequently used functional neuroimaging methods is the brain’s local dynamic regulation of blood flow. For a correct interpretation of neuroimaging results the structural and functional neurovascular coupling underlying this regulation must be well understood. Here we report quantitative anatomical data of the microvasculature in the macaque visual cortex. Formalin-fixed frozen sections of 4 animals (M. mulatta) were processed for double fluorescence immunohistochemistry. Sections were incubated with anti-collagen type IV and DAPI to stain for vessels and cell nuclei. In one additional animal, the anti-collagen procedure was combined with cytochrome oxidase staining in V1. The length density (LD), surface density (SD), volume fraction (VF) and diameter (D) of the vessels were stereologically determined. Furthermore, synchrotron-based computed tomographies (SRCT) of formalin-fixed and barium sulfate-perfused brain samples from another 2 animals were used to corroborate the histological results. In V1, the vascular density was highest in layer IVc- (LD 674.7 mm/mm3, SD 15.2 mm2/mm3, VF 2.6 , D 7.2 microns) and lowest in layer I (LD 461.5 mm/mm3, SD 10.9 mm2/mm3, VF 1.9 , D 7.5 microns). In all extrastriate visual areas analyzed (V2, V3, V4, V5), the vascular density was generally lower, and the difference between layer IV and the remaining layers was less prominent when compared to V1. These density values were similar compared to the ones tomographically obtained from SRCT. The vascular density in cytochrome oxidase rich blobs in V1 was 14 higher as compared to the interblob region. In summary, V1 is different from all extrastriate areas analyzed with respect to the laminar vessel distribution and overall vascular density. Differences between extrastriate areas were negligible. The overall vascular volume fraction in visual cortex derived from immunostaining was approximately 2 , a value that was well reproduced by the SRCT

Trajectories of charged particles trapped in Earth's magnetic field

I outline the theory of relativistic charged-particle motion in the magnetosphere in a way suitable for undergraduate courses. I discuss particle and guiding center motion, derive the three adiabatic invariants associated with them, and present particle trajectories in a dipolar field. I provide twelve computational exercises that can be used as classroom assignments or for self-study. Two of the exercises, drift-shell bifurcation and Speiser orbits, are adapted from active magnetospheric research. The Python code provided in the supplement can be used to replicate the trajectories and can be easily extended for different field geometries.Comment: 10 pages, 7 figures. Submitted to American Journal of Physic

In vivo brain connectivity: optimization of manganese enhanced MRI for neuronal tract tracing

One of the main problems in systems biology is to obtain information on signal processing between interconnected groups of neurons in highly distributed networks. The recently introduced technique of manganese (Mn2+) enhanced MRI (MEMRI) to study neuronal connectivity in vivo opens the possibility to these studies. However, several drawbacks exist that challenge its applicability. High Mn2+ concentrations produce cytotoxic effects that can perturb the circuits under study. In the other hand, the MR signal is proportional to the Mn2+ concentration in tissue and thus, significant amounts of Mn2+ are required to produce detectable contrast and reliable connectivity maps. Here we attempt to optimize the MEMRI technique by preventing toxicity and improving the quality and extension of the obtained connectivity maps. The somatosensory cortex of male SD rats was stereotaxically injected with different Mn2+-containing solutions. Total amount of injected Mn2+ ranged between 1 and 16 nmol and the injected volumes between 10 and 80 nL. Osmolarity and pH effects were investigated injecting pH buffered solutions of Mn2+ (pH 7.3 in Tris-HCl buffer vs. 5.5 in H2O) at different concentration (0.05, 0.1 and 0.8 M MnCl2). Same amounts of Mn2+ (8nmol) delivered to the tissue at different infusion rates were also compared. Following the injection, T1-weighted MR imaging (250 mm isotropic resolution) was performed in a 7T scanner at different time points. Fifteen days after the injection animals were sacrificed and brains processed for histology. Nissl staining as well as GFAP and NeuN immunohistochemistry (selective staining for astrocytes and neurons, respectively) were performed in the brain sections to examine cellular toxicity. All injections produced connectivity maps consistent with the known anterograde projections of SI cortex based on classical neuronal tract-tracing techniques. Our results show that pH buffered solution improve the effectiveness of MEMRI, increasing T1 contrast in the projection sites. In addition, injections of pH buffered and isotonic solutions of 50 and 100 mM MnCl2 yielded more extensive connectivity maps, in particular, ipsiand contra-lateral corticocortical connections were evident in all animal injected with those solutions but not with the more usual MEMRI protocol (0.8M MnCl2 in H2O). Hypertonic and non-buffered solutions containing 8nmol Mn2+ resulted in neuronal death and astrogliosis in extensive areas around the injection point. In sharp contrast, no neuronal toxicity was observed with injections containing up to 8nmol of Mn2+ in isotonic solutions of up to 100 mM MnCl2 and pH 7.3. Slow infusion rates demonstrated also to be advantageous and permitted application of larger amounts of Mn2+ without toxic effects, resulting in better T1 contrast in the low density projection fields. Any sign of toxicity was observed in any condition in the projection fields. We conclude that refined protocols for MEMRI improve the quality and extension of connectivity maps and preserves tissue viability, assuring the application of this technique in longitudinal experiments

Ready ... Go: Amplitude of the fMRI Signal Encodes Expectation of Cue Arrival Time

What happens when the brain awaits a signal of uncertain arrival time, as when a sprinter waits for the starting pistol? And what happens just after the starting pistol fires? Using functional magnetic resonance imaging (fMRI), we have discovered a novel correlate of temporal expectations in several brain regions, most prominently in the supplementary motor area (SMA). Contrary to expectations, we found little fMRI activity during the waiting period; however, a large signal appears after the “go” signal, the amplitude of which reflects learned expectations about the distribution of possible waiting times. Specifically, the amplitude of the fMRI signal appears to encode a cumulative conditional probability, also known as the cumulative hazard function. The fMRI signal loses its dependence on waiting time in a “countdown” condition in which the arrival time of the go cue is known in advance, suggesting that the signal encodes temporal probabilities rather than simply elapsed time. The dependence of the signal on temporal expectation is present in “no-go” conditions, demonstrating that the effect is not a consequence of motor output. Finally, the encoding is not dependent on modality, operating in the same manner with auditory or visual signals. This finding extends our understanding of the relationship between temporal expectancy and measurable neural signals