Chaotic synchronization in general network topology for scene segmentation

Chaotic synchronization has been discovered to be an important property of neural activities, which in turn has encouraged many researchers to develop chaotic neural networks for scene and data analysis. In this paper, we study the synchronization role of coupled chaotic oscillators in networks of general topology. Specifically, a rigorous proof is presented to show that a large number of oscillators with arbitrary geometrical connections can be synchronized by providing a sufficiently strong coupling strength. Moreover, the results presented in this paper not only are valid to a wide class of chaotic oscillators, but also cover the parameter mismatch case. Finally, we show how the obtained result can be applied to construct an oscillatory network for scene segmentation.

Chaotic synchronization in 2D lattice for scene segmentation

Synchronization and chaos play important roles in neural activities and have been applied in oscillatory correlation modeling for scene and data analysis. Although it is an extensively studied topic, there are still few results regarding synchrony in locally coupled systems. In this paper we give a rigorous proof to show that large numbers of coupled chaotic oscillators with parameter mismatch in a 2D lattice can be synchronized by providing a sufficiently large coupling strength. We demonstrate how the obtained result can be applied to construct an oscillatory network for scene segmentation. (C) 2007 Elsevier B.V. All rights reserved.

Sistema de agentes poligínicos para esteganálise de imagens digitais

In this work, we propose a multi agent system for digital image steganalysis, based on the poliginic bees model. Such approach aims to solve the problem of automatic steganalysis for digital media, with a case study on digital images. The system architecture was designed not only to detect if a file is suspicious of covering a hidden message, as well to extract the hidden message or information regarding it. Several experiments were performed whose results confirm a substantial enhancement (from 67% to 82% success rate) by using the multi-agent approach, fact not observed in traditional systems. An ongoing application using the technique is the detection of anomalies in digital data produced by sensors that capture brain emissions in little animals. The detection of such anomalies can be used to prove theories and evidences of imagery completion during sleep provided by the brain in visual cortex areas

Cortical representation of the horizon in V1 and peripheral scaling in mammals with lateral eyes

In the present investigation we mapped the primary visual area of the South American diurnal rodent, Dasyprocta aguti, by standardized electrophysiological mapping techniques. In particular, we performed a series of mapping experiments of the visual streak in the primary visual cortex. We found that the representation of the visual streak in V1 is greatly expanded, the nasal 10 degrees of the visual streak representation occupies ten times more cortical area than equivalent areas in the central or temporal representation. Comparison of these data with those on the density of ganglion cells in the retina at corresponding locations in the visual field reveal a significant mismatch between these two variables. The nasal representation is greatly expanded along the horizontal meridian in V1 as compared to the central and temporal regions whereas the density of ganglion cells decreases with progression along the visual streak from central region towards the nasal or temporal visual field. A review of the available data reveals that all lateral-eyed mammals exhibit a similar mismatch between the retinal and cortical representation of the visual field, and this mismatches is greater in those species with well defined visual streaks such as rabbit and agouti.

O fator de crescimento neuronal na infecção por Schistosoma mansoni: estudo molecular, imunoenzimático e morfométrico em modelo permissível e não permissível à infecção

A esquistossomose é uma doença tropical causada, principalmente, pelo trematódeo Schistosoma mansoni, sendo que sua ocorrência afeta, mundialmente, 110 milhões de pessoas. A deposição dos ovos do parasita pode ocorrer, de forma ectópica, no sistema nervoso central (SNC) o qual leva à formação de granulomas com consequente produção do Fator de Crescimento Neuronal (NGF). Uma vez que muitos estudos demonstram a importância do NGF no desenvolvimento das vias corticais visuais, nosso estudo visou avaliar a possível alteração dos níveis de NGF no sistema visual assim como o impacto deste sobre a morfologia de células piramidais em dois modelos animais. A alteração na concentração do fator de crescimento assim como a morfometria neuronal foram avaliadas em animais permissíveis (camundongos) e não permissíveis (ratos) à infecção. Foram utilizados 174 ratos (Hooded Lister) e 135 camundongos albinos criados e mantidos em gaiolas e alimentados ad libitum. Esses animais foram inoculados, logo após o nascimento, com 50 cercárias. Setenta e sete ratos e 73 camundongos foram inoculados com solução salina e constituíram o grupo controle do estudo. Os períodos de infecção abrangeram uma a 48 semanas. Amostras do fígado e córtex visual foram retiradas, extraídas e quantificadas com kit de imunoensaio (ChemiKineTM Nerve Growth Factor (NGF) Sandwich ELISA Kit – Chemicon International). Para a análise morfométrica utilizamos células piramidais da camada IV do córtex visual marcadas através de injeção extracelular com Dextrana-Biotinilada (10.000 kDa). Os resultados foram expressos como média ± desvio padrão. Utilizamos teste t de Student para determinar diferenças estatísticas entre os grupos estudados. O valor médio de NGF encontrado no córtex visual de ratos infectados foi 39,2% maior do que no grupo controle (infectados: 400,9 ± 143,1 pg/mL; controle: 288 ± 31,9 pg/mL; p < 0,0001). Nas amostras de fígado, o aumento foi 28,9% maior no grupo infectado (infectados: 340,9 ± 103,9 pg/mL; p < 0,01; controle: 264,4 ± 38,6 pg/mL). Nenhum aumento significativo foi detectado antes de uma semana de infecção. Entre os camundongos, o aumento de NGF na área visual foi de 94,1% (infectados: 478,4 ± 284 pg/mL; p < 0,01; controle: 246,5 ± 76,8 pg/mL). No fígado destes animais o aumento foi de 138,7% (infectados: 561,8 ± 260,7 pg/mL; p < 0,01; controle: 301,3 ± 134,6 pg/mL). Em camundongos encontramos diferenças significativas quanto aos parâmetros dendríticos avaliados. A quantidade de dendritos foi 11,41% maior no grupo infectado do que no controle (controle: 25,28 ± 5,19; infectados: 28,16 ± 7,45; p < 0,05). O comprimento total dos dendritos também foi afetado (controle: 4.916,52 ± 1.492,65 μm; infectados: 5.460,40 ± 1.214,07 μm; p < 0,05) correspondendo a um aumento de 11,06%. A área total do campo receptor dendrítico sofreu um aumento de 12,99% (controle: 29.346,69 ± 11.298,62 μm2; infectados: 33.158,20 ± 7.758,31; p < 0,05) enquanto que a área somática teve uma redução de 13,61% (controle: 119,38 ± 19,68 μm2; infectados: 103,13 ± 24,69 μm2; p < 0,001). Quando foram avaliados os efeitos do aumento de NGF em ratos infectados não observamos diferenças significativas quanto aos parâmetros dendríticos analisados, em comparação ao grupo controle, com exceção de um aumento na área do corpo neuronal da ordem de 21,18% (controle: 132,20 ± 28,46 μm2; infectados: 160,20 ± 31,63 μm2; p < 0,00001). Este trabalho mostrou que a reação de produção de NGF no SNC durante a infecção por Schistosoma mansoni ocorre em maior magnitude no modelo permissível do que no modelo não permissível. Também demonstramos que, em camundongos, os efeitos sobre a morfologia neuronal é drasticamente afetada quando o organismo é submetido a um aumento na concentração de NGF em decorrência da infecção por Schistosoma mansoni. Diante destes dados, estudos avaliando as possíveis repercussões visuais e também dos efeitos na fisiologia celular causados pela infecção mansônica torna-se necessário para avaliar o real dano causado por este aumento patológico do fator de crescimento neuronal nas vias visuais de mamíferos.

Investigação de danos visuais em pacientes diagnosticados com meningite criptocócica não associada à imunossupressão

A meningite criptocócica é uma severa doença infecciosa causada pelo Cryptococcus spp. que apresenta alta letalidade e deixa nos sobreviventes uma série de sequelas sensoriais, entre as quais estão as alterações visuais. O objetivo deste estudo foi descrever as perdas visuais sofridas por pacientes, sem história de imunossupressão, diagnosticados com meningite criptocócica, de forma a indicar um possível mecanismo e fatores de risco para essas sequelas visuais. O trabalho foi composto de um estudo de série de casos de pacientes com meningite criptocócica sem história de imunossupressão (n = 7 pacientes, n = 14 olhos) e um estudo transversal analítico de todos os casos de meningite criptocócica sem história de imunossupressão notificados em 14 anos num hospital de referência do Pará (n = 113 casos). No estudo de série de casos, as funções visuais de uma amostra de pacientes foi cuidadosamente analisada por meio de avaliação oftalmológica, testes psicofísicos e eletrofisiológicos. No estudo transversal analítico, foi realizada análise de dados de prontuário com enfoque nas alterações visuais. Observou-se que os pacientes estudados na série de casos apresentaram grave diminuição da acuidade visual e mesmo em pacientes sem queixa visual houve alteração na percepção de cor, na percepção de contraste de luminância em diferentes frequências espaciais e no campo visual. Os testes indicam comprometimento da retina central como principal desencadeadora de uma cascata de alterações que impedem o normal processamento da imagem no córtex visual. Sugere-se que lesões do nervo óptico não foram as únicas responsáveis pelas alterações visuais observadas. Os principais fatores de risco para as alterações visuais observados pelo estudo transversal analítico foram o tempo de doença antes do início do tratamento e a resposta imunológica do paciente.

A visão através dos contrastes

O primeiro estágio de processamento da informação do estímulo visual consiste na contagem de fótons pelas células fotorreceptoras. Nos estágios pós-receptorais a informação de intensidade absoluta do estímulo é transformada em comparações de informações provindas de áreas adjacentes da retina e momentos sucessivos. Essa métrica implementada pelo sistema visual para quantificar o estímulo é chamada de contraste - contraste espacial ou simultâneo e contraste temporal ou sucessivo. A presença de contraste é essencial para a geração de percepção visual consciente no domínio do espaço e do tempo e em três dimensões ortogonais de cores - branca e preta; azul e amarela; verde e vermelha. Uma curva em forma de sinodelimita os limiares de detecção de contraste em função da frequência especial ou temporal do estímulo. Ela é chamada função de sensibilidade ao contraste e é afetada por uma série de fatores ópticos e neurais. Neurônios de diferentes classes contribuem para regiões diferentes da função de sensibilidade ao contraste e suas atividades representam as ações de vias de processamento visual que se estendem da retina ao córtex visual. Investigações básicas e clínicas têm dado suporte à importância do estudo da sensibilidade ao contraste espacial de luminância (branco e preta) como uma ferramenta indicadora da função visual em sujeitos normais e afetados por disfunções neuro-oftalmológicas.

Increased variability of motor cortical excitability to transcranial magnetic stimulation in migraine: a new clue to an old enigma

Increased, decreased or normal excitability to transcranial magnetic stimulation (TMS) has been reported in the motor (M1) and visual cortices of patients with migraine. Light deprivation (LD) has been reported to modulate M1 excitability in control subjects (CS). Still, effects of LD on M1 excitability compared to exposure to environmental light exposure (EL) had not been previously described in patients with migraine (MP). To further our knowledge about differences between CS and MP, regarding M1 excitability and effects of LD on M1 excitability, we opted for a novel approach by extending measurement conditions. We measured motor thresholds (MTs) to TMS, short-interval intracortical inhibition, and ratios between motor-evoked potential amplitudes and supramaximal M responses in MP and CS on two different days, before and after LD or EL. Motor thresholds significantly increased in MP in LD and EL sessions, and remained stable in CS. There were no significant between-group differences in other measures of TMS. Short-term variation of MTs was greater in MP compared to CS. Fluctuation in excitability over hours or days in MP is an issue that, until now, has been relatively neglected. The results presented here will help to reconcile conflicting observations.

Statistical physics approach to dendritic computation: The excitable-wave mean-field approximation

We analytically study the input-output properties of a neuron whose active dendritic tree, modeled as a Cayley tree of excitable elements, is subjected to Poisson stimulus. Both single-site and two-site mean-field approximations incorrectly predict a nonequilibrium phase transition which is not allowed in the model. We propose an excitable-wave mean-field approximation which shows good agreement with previously published simulation results [Gollo et al., PLoS Comput. Biol. 5, e1000402 (2009)] and accounts for finite-size effects. We also discuss the relevance of our results to experiments in neuroscience, emphasizing the role of active dendrites in the enhancement of dynamic range and in gain control modulation.

Role of BDNF secretion and signaling in the activity-dependent refinement of synaptic connections

Neuronal networks exhibit diverse types of plasticity, including the activity-dependent regulation of synaptic functions and refinement of synaptic connections. In addition, continuous generation of new neurons in the “adult” brain (adult neurogenesis) represents a powerful form of structural plasticity establishing new connections and possibly implementing pre-existing neuronal circuits (Kempermann et al, 2000; Ming and Song, 2005). Neurotrophins, a family of neuronal growth factors, are crucially involved in the modulation of activity-dependent neuronal plasticity. The first evidence for the physiological importance of this role evolved from the observations that the local administration of neurotrophins has dramatic effects on the activity-dependent refinement of synaptic connections in the visual cortex (McAllister et al, 1999; Berardi et al, 2000; Thoenen, 1995). Moreover, the local availability of critical amounts of neurotrophins appears to be relevant for the ability of hippocampal neurons to undergo long-term potentiation (LTP) of the synaptic transmission (Lu, 2004; Aicardi et al, 2004). To achieve a comprehensive understanding of the modulatory role of neurotrophins in integrated neuronal systems, informations on the mechanisms about local neurotrophins synthesis and secretion as well as ditribution of their cognate receptors are of crucial importance. In the first part of this doctoral thesis I have used electrophysiological approaches and real-time imaging tecniques to investigate additional features about the regulation of neurotrophins secretion, namely the capability of the neurotrophin brain-derived neurotrophic factor (BDNF) to undergo synaptic recycling. In cortical and hippocampal slices as well as in dissociated cell cultures, neuronal activity rapidly enhances the neuronal expression and secretion of BDNF which is subsequently taken up by neurons themselves but also by perineuronal astrocytes, through the selective activation of BDNF receptors. Moreover, internalized BDNF becomes part of the releasable source of the neurotrophin, which is promptly recruited for activity-dependent recycling. Thus, we described for the first time that neurons and astrocytes contain an endocytic compartment competent for BDNF recycling, suggesting a specialized form of bidirectional communication between neurons and glia. The mechanism of BDNF recycling is reminiscent of that for neurotransmitters and identifies BDNF as a new modulator implicated in neuro- and glio-transmission. In the second part of this doctoral thesis I addressed the role of BDNF signaling in adult hippocampal neurogenesis. I have generated a transgenic mouse model to specifically investigate the influence of BDNF signaling on the generation, differentiation, survival and connectivity of newborn neurons into the adult hippocampal network. I demonstrated that the survival of newborn neurons critically depends on the activation of the BDNF receptor TrkB. The TrkB-dependent decision regarding life or death in these newborn neurons takes place right at the transition point of their morphological and functional maturation Before newborn neurons start to die, they exhibit a drastic reduction in dendritic complexity and spine density compared to wild-type newborn neurons, indicating that this receptor is required for the connectivity of newborn neurons. Both the failure to become integrated and subsequent dying lead to impaired LTP. Finally, mice lacking a functional TrkB in the restricted population of newborn neurons show behavioral deficits, namely increased anxiety-like behavior. These data suggest that the integration and establishment of proper connections by newly generated neurons into the pre-existing network are relevant features for regulating the emotional state of the animal.

Diffusion maps in the Subriemannian motion group and perceptual grouping

Il presente lavoro è motivato dal problema della constituzione di unità percettive a livello della corteccia visiva primaria V1. Si studia dettagliatamente il modello geometrico di Citti-Sarti con particolare attenzione alla modellazione di fenomeni di associazione visiva. Viene studiato nel dettaglio un modello di connettività. Il contributo originale risiede nell'adattamento del metodo delle diffusion maps, recentemente introdotto da Coifman e Lafon, alla geometria subriemanniana della corteccia visiva. Vengono utilizzati strumenti di teoria del potenziale, teoria spettrale, analisi armonica in gruppi di Lie per l'approssimazione delle autofunzioni dell'operatore del calore sul gruppo dei moti rigidi del piano. Le autofunzioni sono utilizzate per l'estrazione di unità percettive nello stimolo visivo. Sono presentate prove sperimentali e originali delle capacità performanti del metodo.

Interhemispheric connections shape subjective experience of bistable motion

The right and left visual hemifields are represented in different cerebral hemispheres and are bound together by connections through the corpus callosum. Much has been learned on the functions of these connections from split-brain patients [1-4], but little is known about their contribution to conscious visual perception in healthy humans. We used diffusion tensor imaging and functional magnetic resonance imaging to investigate which callosal connections contribute to the subjective experience of a visual motion stimulus that requires interhemispheric integration. The "motion quartet" is an ambiguous version of apparent motion that leads to perceptions of either horizontal or vertical motion [5]. Interestingly, observers are more likely to perceive vertical than horizontal motion when the stimulus is presented centrally in the visual field [6]. This asymmetry has been attributed to the fact that, with central fixation, perception of horizontal motion requires integration across hemispheres whereas perception of vertical motion requires only intrahemispheric processing [7]. We are able to show that the microstructure of individually tracked callosal segments connecting motion-sensitive areas of the human MT/V5 complex (hMT/V5+; [8]) can predict the conscious perception of observers. Neither connections between primary visual cortex (V1) nor other surrounding callosal regions exhibit a similar relationship.

Enhancing BOLD response in the auditory system by neurophysiologically tuned fMRI sequence

Auditory neuroscience has not tapped fMRI's full potential because of acoustic scanner noise emitted by the gradient switches of conventional echoplanar fMRI sequences. The scanner noise is pulsed, and auditory cortex is particularly sensitive to pulsed sounds. Current fMRI approaches to avoid stimulus-noise interactions are temporally inefficient. Since the sustained BOLD response to pulsed sounds decreases with repetition rate and becomes minimal with unpulsed sounds, we developed an fMRI sequence emitting continuous rather than pulsed gradient sound by implementing a novel quasi-continuous gradient switch pattern. Compared to conventional fMRI, continuous-sound fMRI reduced auditory cortex BOLD baseline and increased BOLD amplitude with graded sound stimuli, short sound events, and sounds as complex as orchestra music with preserved temporal resolution. Response in subcortical auditory nuclei was enhanced, but not the response to light in visual cortex. Finally, tonotopic mapping using continuous-sound fMRI demonstrates that enhanced functional signal-to-noise in BOLD response translates into improved spatial separability of specific sound representations.

Perceptual Learning via Modification of Cortical Top-Down Signals

The primary visual cortex (V1) is pre-wired to facilitate the extraction of behaviorally important visual features. Collinear edge detectors in V1, for instance, mutually enhance each other to improve the perception of lines against a noisy background. The same pre-wiring that facilitates line extraction, however, is detrimental when subjects have to discriminate the brightness of different line segments. How is it possible to improve in one task by unsupervised practicing, without getting worse in the other task? The classical view of perceptual learning is that practicing modulates the feedforward input stream through synaptic modifications onto or within V1. However, any rewiring of V1 would deteriorate other perceptual abilities different from the trained one. We propose a general neuronal model showing that perceptual learning can modulate top-down input to V1 in a task-specific way while feedforward and lateral pathways remain intact. Consistent with biological data, the model explains how context-dependent brightness discrimination is improved by a top-down recruitment of recurrent inhibition and a top-down induced increase of the neuronal gain within V1. Both the top-down modulation of inhibition and of neuronal gain are suggested to be universal features of cortical microcircuits which enable perceptual learning.

Functional imaging of visuospatial processing in Alzheimer's disease

Alzheimer's disease (AD) is known to cause a variety of disturbances of higher visual functions that are closely related to the neuropathological changes. Visual association areas are more affected than primary visual cortex. Additionally, there is evidence from neuropsychological and imaging studies during rest or passive visual stimulation that the occipitotemporal pathway is less affected than the parietal pathway. Our goal was to investigate functional activation patterns during active visuospatial processing in AD patients and the impact of local cerebral atrophy on the strength of functional activation. Fourteen AD patients and fourteen age-matched controls were measured with functional magnetic resonance imaging (fMRI) while they performed an angle discrimination task. Both groups revealed overlapping networks engaged in angle discrimination including the superior parietal lobule (SPL), frontal and occipitotemporal (OTC) cortical regions, primary visual cortex, basal ganglia, and thalamus. The most pronounced differences between the two groups were found in the SPL (more activity in controls) and OTC (more activity in patients). The differences in functional activation between the AD patients and controls were partly explained by the differences in individual SPL atrophy. These results indicate that parietal dysfunction in mild to moderate AD is compensated by recruitment of the ventral visual pathway. We furthermore suggest that local cerebral atrophy should be considered as a covariate in functional imaging studies of neurodegenerative disorders.