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Evidence on the local character of spatial frequency channels in the human visual system.

The question has been raised as to whether there exists any transfer of information between neighboring retinal areas following presentation of spatially limited optical stimuli. Our experiments were aimed at mechanisms by which spatial frequency information could be transferred from one part of the visual field to another. Within a 0.9 degree X 2.5 degree section of the 3.6 degree X 2.5 degree testfield the observers adapt to a number of moving sinusoidally-modulated brightness or hue gratings of different spatial frequencies. As known by many publications the sensitivity to spatial frequencies changes in the adapted area. We find that this influence on the contrast threshold decreases as the distance to the adaptation section increases. Hence our results suggest mechanisms within the visual system mathematically best described by a local spectrum analysis.

Adaptation, Ocular↗

Spatial and temporal localization during embryonic and fetal human development of the transcription factor SIM2 in brain regions altered in Down syndrome.

Human SIM2 is the ortholog of Drosophila single-minded (sim), a master regulator of neurogenesis and transcriptional factor controlling midline cell fate determination. We previously localized SIM2 in a chromosome 21 critical region for Down syndrome (DS). Here, we studied SIM2 gene using a new approach to provide insights in understanding of its potential role in human development. For the first time, we showed SIM2 spatial and temporal expression pattern during human central nervous system (CNS) development, from embryonic to fetal stages. Additional investigations were performed using a new optic microscopy technology to compare signal intensity and cell density [M. Rachidi, C. Lopes, S. Gassanova, P.M. Sinet, M. Vekemans, T. Attie, A.L. Delezoide, J.M. Delabar, Regional and cellular specificity of the expression of TPRD, the tetratricopeptide Down syndrome gene, during human embryonic development, Mech. Dev. 93 (2000) 189--193]. In embryonic stages, SIM2 was identified predominantly in restricted regions of CNS, in ventral part of D1/D2 diencephalic neuroepithelium, along the neural tube and in a few cell subsets of dorsal root ganglia. In fetal stages, SIM2 showed differential expression in pyramidal and granular cell layers of hippocampal formation, in cortical cells and in cerebellar external granular and Purkinje cell layers. SIM2 expression in embryonic and fetal brain could suggest a potential role in human CNS development, in agreement with Drosophila and mouse Sim mutant phenotypes and with the conservation of the Sim function in CNS development from Drosophila to Human. SIM2 expression in human fetal brain regions, which correspond to key structures for cognitive processes, correlates well with the behavioral phenotypes of Drosophila Sim mutants and transgenic mice overexpressing Sim2. In addition, SIM2-expressing brain regions correspond to the altered structures in DS patients. All together, these findings suggest a potential role of SIM2 in CNS development and indicate that SIM2 overexpression could participate to the pathogenesis of mental retardation in Down syndrome patients.

Basic Helix-Loop-Helix Proteins↗

Local stability analysis of spatially homogeneous solutions of multi-patch systems.

Multi-patch systems, in which several species interact in patches connected by dispersal, offer a general framework for the description and analysis of spatial ecological systems. This paper describes how to analyse the local stability of spatially homogeneous solutions in such systems. The spatial arrangement of the patches and their coupling is described by a matrix. For a local stability analysis of spatially homogeneous solutions it turns out to be sufficient to know the eigenvalues of this matrix. This is shown for both continuous and discrete time systems. A bookkeeping scheme is presented that facilitates stability analyses by reducing the analysis of a k-species, n-patch system to that of n uncoupled k-dimensional single-patch systems. This is demonstrated in a worked example for a chain of patches. In two applications the method is then used to analyse the stability of the equilibrium of a predator-prey system with a pool of dispersers and of the periodic solutions of the spatial Lotka-Volterra model.

Animals↗

Predictions of an inhomogeneous model: detection of local and extended spatial stimuli.

A two-dimensional spatially inhomogeneous model of the visual system is developed. It is based on the properties of cone spacing in the retina and on the hypothesis of uniform neural interactions (lateral inhibitions). Its quantitative predictions of the detection and discrimination (acuity) of various types of stimuli are studied. The model works well with local stimuli positioned at varied eccentricities as well as with extended stimuli (vertical cosine gratings windowed by two-dimensional windows), but a simple threshold detector was found to be insufficient to describe the increase of contrast sensitivity with the number of cycles of the cosine gratings at high frequencies. It is concluded that, even for one-dimensional stimuli, a two-dimensional approach is necessary and that other parameters such as imprecision of fixation, eye movements, and two-dimensional probability summation must be taken into account before resorting to more complex models.

Fovea Centralis↗

Changes in spatial and temporal localization of Dictyostelium homologues of TRAP1 and GRP94 revealed by immunoelectron microscopy.

TRAP1 (tumor necrosis factor receptor-associated protein 1) is a member of the molecular chaperone HSP90 (90-kDa heat shock protein) family. In this study, we mainly examined the behavior of Dictyostelium TRAP1 homologue, Dd-TRAP1, during Dictyostelium development by immunoelectron microscopy. In vegetatively growing D. discoideum Ax-2 cells, Dd-TRAP1 locates in nucleolus and vesicles in addition to the cell cortex including cell membrane. Many of Dd-TRAP1 molecules moved to the mitochondrial matrix in response to differentiation, although Dd-TRAP1 on the cell membrane seems to be retained. Some Dd-TRAP1 was also found to be secreted to locate outside the cell membrane in Ax-2 cells starved for 6 h. At the multicellular slug stage, Dd-TRAP1 was primarily located in mitochondria and cell membrane in both prestalk and prespore cells. More importantly, in differentiating prespore cells, a significant number of Dd-TRAP1 locates in the PSV (prespore-specific vacuole) that is a sole cell type-specific organelle and essential for spore wall formation, whereas some Dd-TRAP1 in the cell cortical region of prestalk cells. These findings strongly suggest the importance of Dd-TRAP1 regulated temporally and spatially during Dictyostelium development. Incidentally, we also have certified that the glucose-regulated protein 94 (Dd-GRP94) is predominantly located in Golgi vesicles and cisternae, followed by its colocalization with Dd-TRAP1 in the PSV.

Animals↗

Spatial distribution of local flash electroretinogram by multi-input stimulation.

A method was developed for recording the distribution of the local flash electroretinogram with multi-input stimulation. With the use of a long flash interval, such as 100 ms, the principle and the method are useful for clinicians who know the method for recording the conventional local flash electroretinogram with single-input stimulation. This method results in a long recording time, yet it presents real local flash electroretinogram waveforms at the output.

Electroretinography↗

Temporal and spatial properties of local circuits in neocortex.

A large body of anatomical data has detailed many complexities of neocortical circuitry, and physiological studies have indicated some roles for this circuitry in the complex functions of the cortex. Until recently, however, we have little precise information about the spatio-temporal properties of synaptic connections between individual neocortical neurones. Studies of synaptic responses elicited in one neocortical neurone by action potentials in another, and parallel morphological studies that have identified these neurones and the synaptic connections between them, have now described these parameters for certain types of local circuit connection in the neocortex. Some of these studies confirmed previous observations and inferences, but others provided major surprises. Evidence indicates that the class of both the presynaptic and postsynaptic neurone together determine a wide range of synaptic properties, such as the type of postsynaptic receptors involved and the temporal pattern of transmitter release, so that each type of synapse displays unique properties. A role for retrograde diffusable messages in determining the temporal properties of these circuits is postulated.

Animals↗

A model of STDP based on spatially and temporally local information: derivation and combination with gated decay.

Temporal relationships between neuronal firing and plasticity have received significant attention in recent decades. Neurophysiological studies have shown the phenomenon of spike-timing-dependent plasticity (STDP). Various models were suggested to implement an STDP-like learning rule in artificial networks based on spiking neuronal representations. The rule presented here was developed under three constraints. First, it only depends on the information that is available at the synapse at the time of synaptic modification. Second, it naturally follows from neurophysiological and psychological research starting with Hebb's postulate [D. Hebb. (1949). The organization of behavior. Wiley, New York]. Third, it is simple, computationally cheap and its parameters are straightforward to determine. This rule is further extended by addition of four different types of gating derived from conventionally used types of gated decay in learning rules for continuous firing rate neural networks. The results show that the advantages of using these gatings are transferred to the new rule without sacrificing its dependency on spike-timing.

Algorithms↗

Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction.

This paper discusses the location bias and the spatial resolution in the reconstruction of a single dipole source by various spatial filtering techniques used for neuromagnetic imaging. We first analyze the location bias for several representative adaptive and non-adaptive spatial filters using their resolution kernels. This analysis theoretically validates previously reported empirical findings that standardized low-resolution electromagnetic tomography (sLORETA) has no location bias. We also find that the minimum-variance spatial filter does exhibit bias in the reconstructed location of a single source, but that this bias is eliminated by using the normalized lead field. We then focus on the comparison of sLORETA and the lead-field normalized minimum-variance spatial filter, and analyze the effect of noise on source location bias. We find that the signal-to-noise ratio (SNR) in the measurements determines whether the sLORETA reconstruction has source location bias, while the lead-field normalized minimum-variance spatial filter has no location bias even in the presence of noise. Finally, we compare the spatial resolution for sLORETA and the minimum-variance filter, and show that the minimum-variance filter attains much higher resolution than sLORETA does. The results of these analyses are validated by numerical experiments as well as by reconstructions based on two sets of evoked magnetic responses.

Algorithms↗

Inferring functional relationships of proteins from local sequence and spatial surface patterns.

We describe a novel approach for inferring functional relationship of proteins by detecting sequence and spatial patterns of protein surfaces. Well-formed concave surface regions in the form of pockets and voids are examined to identify similarity relationship that might be directly related to protein function. We first exhaustively identify and measure analytically all 910,379 surface pockets and interior voids on 12,177 protein structures from the Protein Data Bank. The similarity of patterns of residues forming pockets and voids are then assessed in sequence, in spatial arrangement, and in orientational arrangement. Statistical significance in the form of E and p-values is then estimated for each of the three types of similarity measurements. Our method is fully automated without human intervention and can be used without input of query patterns. It does not assume any prior knowledge of functional residues of a protein, and can detect similarity based on surface patterns small and large. It also tolerates, to some extent, conformational flexibility of functional sites. We show with examples that this method can detect functional relationship with specificity for members of the same protein family and superfamily, as well as remotely related functional surfaces from proteins of different fold structures. We envision that this method can be used for discovering novel functional relationship of protein surfaces, for functional annotation of protein structures with unknown biological roles, and for further inquiries on evolutionary origins of structural elements important for protein function.

Amino Acid Sequence↗

Simultaneously recording local luminance responses, spatial and temporal interactions in the visual system with m-sequences.

In this paper, an extended multifocal VEP/ERG paradigm, referred to as the unified multifocal electroretinography and visual evoked potential paradigm (UMEV), is presented. This paradigm allows a simultaneous recording of luminance responses, temporal interactions, spatial interactions and spatial-temporal interactions. Two studies were conducted to demonstrate the capability and validity of the UMEV. The results show that the UMEV system derives a significant spatial interaction VEP in addition to a similar luminance response (mfERG) and pattern reversal VEP (mfVEP) to the VERIS system. Second, the amplitude of spatial interaction VEP is diminished by increasing the distance between two stimuli while the amplitude of temporal interaction VEP remain relatively unchanged.

Adult↗

Absence of population structure of turbot (Psetta maxima) in the Baltic Sea.

We found low, albeit significant, genetic differentiation among turbot (Psetta maxima) in the Baltic Sea but in contrast to earlier findings we found no evidence of isolation by distance. In fact temporal variation among years in one locality exceeded spatial variation among localities. This is an unexpected result since adult turbot are sedentary and eggs are demersal at the salinities occurring in the Baltic. Our findings are most likely explained by the fact that we sampled fish that were born after/during a large influx of water to the Baltic Sea, which may have had the consequence that previously locally and relatively sedentary populations became admixed. These results suggest that populations that colonize relatively variable habitats, like the Baltic, face problems. Any adaptations to local conditions that may build up during stable periods may quickly become eroded when conditions change and/or when populations become admixed. Our results indicate that the ability of turbot to survive and reproduce at the low salinity in the Baltic is more likely due to phenotypic plasticity than a strict genetic adaptation to low salinity.

Adaptation, Biological↗

Spatial integration of local transmitter responses in motoneurones of the turtle spinal cord in vitro.

1. Integration of responses to local activation of transmitter receptors in the dendrites of motoneurones was investigated in a slice preparation of the turtle spinal cord. Membrane-active substances were applied from up to three independent iontophoresis electrodes during intracellular recording from the cell body. 2. Responses to glutamate could be evoked from dendrites closer than 20 microns from the tip of the glutamate electrode. The effects of other substances were more widespread. 3. In normal medium the configuration of a glutamate response was affected by time-dependent anomalous rectification. In the presence of muscarine the sum of glutamate responses from two different dendrites recruited a voltage-sensitive plateau potential. 4. The response to glutamate from one dendrite could be attenuated by local application of gamma-aminobutyric acid (GABA) without effects on soma conductance or glutamate responses from other dendrites. 5. The response to glutamate from one dendrite could be selectively enhanced by local application of tetraethylammonium (TEA) or N-methyl-D-aspartate (NMDA) without effects on soma conductance or glutamate responses from other dendrites. 6. NMDA could convert a tonic glutamate response from one dendrite into a phasic response without affecting the configuration of glutamate responses from other dendrites. 7. The effects of TEA and NMDA were facilitated by depolarization and reduced by hyperpolarization. 8. We conclude that the cable structure of motoneurones and the distribution of synapses and voltage-sensitive ion channels provide relative autonomy to non-linear synaptic processing and modulation in confined dendritic regions.

Animals↗