Dissecting neural circuits for vision in nonhuman primates using fMRI-guided electrophysiology and optogenetics

The visual system is a remarkable platform that evolved to solve difficult computational problems such as detection, recognition, and classification of objects. Of great interest is the face-processing network, a sub-system buried deep in the temporal lobe, dedicated for analyzing specific type of objects (faces). In this thesis, I focus on the problem of face detection by the face-processing network. Insights obtained from years of developing computer-vision algorithms to solve this task have suggested that it may be efficiently and effectively solved by detection and integration of local contrast features. Does the brain use a similar strategy? To answer this question, I embark on a journey that takes me through the development and optimization of dedicated tools for targeting and perturbing deep brain structures. Data collected using MR-guided electrophysiology in early face-processing regions was found to have strong selectivity for contrast features, similar to ones used by artificial systems. While individual cells were tuned for only a small subset of features, the population as a whole encoded the full spectrum of features that are predictive to the presence of a face in an image. Together with additional evidence, my results suggest a possible computational mechanism for face detection in early face processing regions. To move from correlation to causation, I focus on adopting an emergent technology for perturbing brain activity using light: optogenetics. While this technique has the potential to overcome problems associated with the de-facto way of brain stimulation (electrical microstimulation), many open questions remain about its applicability and effectiveness for perturbing the non-human primate (NHP) brain. In a set of experiments, I use viral vectors to deliver genetically encoded optogenetic constructs to the frontal eye field and faceselective regions in NHP and examine their effects side-by-side with electrical microstimulation to assess their effectiveness in perturbing neural activity as well as behavior. Results suggest that cells are robustly and strongly modulated upon light delivery and that such perturbation can modulate and even initiate motor behavior, thus, paving the way for future explorations that may apply these tools to study connectivity and information flow in the face processing network.

Alterações comportamentais e a análise do estresse oxidativo na idade adulta de animais expostos a hipóxia pré-natal

A Hipóxia-Isquêmica (HI) pré-natal é caracterizada por uma redução no aporte de oxigênio e nutrientes para o feto durante o período gestacional, que pode acarretar, a longo prazo, em dificuldade de concentração e aprendizagem, hiperatividade e déficit de memória. Esses prejuízos podem persistir ou se agravar até a idade adulta, levando ainda ao aparecimento de doenças como epilepsia e paralisia cerebral (PC). A privação de oxigênio e nutrientes, assim como o estresse materno, anemia, eclâmpsia e uso de drogas durante a gestação, podem causar estresse oxidativo durante os períodos críticos do desenvolvimento, e pode ser a principal razão para as mudanças que levam a programação fetal. O objetivo deste estudo foi relacionar a geração de espécies reativas e a consequente formação de estresse oxidativo nos animais adultos, com as alterações da biodisponibilidade do óxido nítrico de forma sistêmica, além de mudanças nos comportamentos motor e de ansiedade, manutenção da memória e aprendizado. Para a hipóxia, foi utilizado o modelo de clampeamento das artérias uterinas das ratas no 18 dia gestacional por 45 min, analisando os filhotes após 90 dias de nascidos. Foram utilizados os testes Open Field e labirinto em cruz elevada para a análise comportamental, e análises das enzimas glutationa peroxidase (GPx), superóxido desmutase (SOD) e catalase, além de quantificação de nitritos, TBARs e carbonilação de proteínas para avaliação de mecanismos oxidantes e antioxidantes. Os resultados demonstraram que o insulto durante a gestação pode acarretar em redução na formação da enzima GPx, além de maior concentração de nitritos analisados nos soros dos animais hipoxiados quando comparados aos controles, contribuindo para o dano oxidativo. Também foi observada redução na memória de habituação e comportamento motor, além de elevado comportamento ansioso em animais hipoxiados, diferentemente de controles. Concluímos assim que a hipóxia isquêmica pré-natal pode alterar permanentemente o estado oxidativo dos animais, além de atuar na formação do comportamento motor, memória de habituação e ansiedade. As descobertas aqui apresentadas contribuem para ampliar o entendimento acerca do evento de hipóxia isquêmica pré-natal, além de prover ferramentas para o desenvolvimento de mecanismos protetores e preventivos aos possíveis danos por ela causados.

Efeitos da hipóxia-isquemia pré-natal durante o desenvolvimento: receptores e transportadores glutamatérgicos e comunicação celular in vitro

O cérebro infantil humano submetido à hipóxia-isquemia (HI) apresenta perda de oligodendrócitos, hipomielinização, astrogliose, alterações no desenvolvimento cortical e no comportamento motor, incluindo a paralisia cerebral. O cerebelo desempenha um importante papel no controle motor e diversos danos vêm sendo observados em humanos e animais que sofreram HI. A excitotoxicidade glutamatérgica é frequentemente associada à HI e junções celulares podem ser responsáveis pela transferência de moléculas capazes de modular os danos decorrentes. Dados prévios de nosso grupo utilizando um modelo de HI pré-natal em ratos demonstraram danos permanentes na estrutura cerebelar, indicando que os efeitos deletérios da HI pré-natal podem ser mantidos até a vida adulta. O objetivo deste trabalho foi caracterizar os níveis de conexinas, receptores e transportadores de glutamato ao longo do desenvolvimento do cerebelo HI, e avaliar a configuração das junções celulares em culturas de astrócitos derivadas do cerebelo de ratos submetidos a esse modelo. Ratas no 18 dia de gestação, após anestesia, tiveram as quatro artérias uterinas obstruídas por 45 minutos (Grupo HI). Animais controle tiveram os úteros expostos sem sofrer a obstrução (Grupo SH). A gestação prosseguiu e apenas filhotes nascidos a termo foram utilizados. Os animais foram decapitados aos 2 (P2), 9 (P9), 16 (P16),23 (P23), 30 (P30), 45 (P45) e 90 (P90) dias pós-natal. Os cerebelos foram submetidos à técnica de Western blotting utilizando os anticorpos anti-NR2B, anti-GluR3, anti-EAAT1, anti-GFAP e anti-Cx43. Para a cultura de astrócitos foram utilizados cerebelos de animais P2. Após terem atingido confluência, as células foram fixadas e imunomarcadas com os anticorpos anti-Cx43, anti-GFAP, anti-nestina e anti-A2B5. Nossos resultados demonstram diferenças nos níveis de GluR3 durante o desenvolvimento do cerebelo SH e HI, havendo uma redução significativa da expressão desta subunidade no grupo HI em P9. Por outro lado, não foram verificadas alterações nos níveis de NR2B e de GFAP entre os grupos nas diferentes idades. Observou-se redução significativa de Cx43 em animais HI em P2 bem como nos astrócitos HI em cultura, os quais também apresentaram alterações morfológicas e diferenças na expressão do marcador A2B5. A alteração referente a GluR3 no grupo HI pode ser causada pela redução da arborização das células de Purkinje e pela redução no número de precursores de oligodendrócitos no cerebelo de animais HI em P9, já observadas em nosso laboratório. A diminuição de Cx43 indica que a passagem de substâncias por canais astrocitários pode estar reduzida e contribuir para a expansão dos danos persistentes descritos em HI. Alterações morfológicas e na expressão de marcadores da diferenciação de astrócitos podem refletir os potenciais efeitos de HI sobre a maturação destas células a longo-prazo. Nossos resultados apontam que a HI sistêmica pré-natal pode ser responsável por alterações que caracterizam a excitotoxicidade glutamatérgica. Ressaltamos também a importância da comunicação entre astrócitos como estratégia neuroprotetora nesta lesão.

Risk-sensitivity in sensorimotor control.

Recent advances in theoretical neuroscience suggest that motor control can be considered as a continuous decision-making process in which uncertainty plays a key role. Decision-makers can be risk-sensitive with respect to this uncertainty in that they may not only consider the average payoff of an outcome, but also consider the variability of the payoffs. Although such risk-sensitivity is a well-established phenomenon in psychology and economics, it has been much less studied in motor control. In fact, leading theories of motor control, such as optimal feedback control, assume that motor behaviors can be explained as the optimization of a given expected payoff or cost. Here we review evidence that humans exhibit risk-sensitivity in their motor behaviors, thereby demonstrating sensitivity to the variability of "motor costs." Furthermore, we discuss how risk-sensitivity can be incorporated into optimal feedback control models of motor control. We conclude that risk-sensitivity is an important concept in understanding individual motor behavior under uncertainty.

Generalization in Adaptation to Stable and Unstable Dynamics

Humans skillfully manipulate objects and tools despite the inherent instability. In order to succeed at these tasks, the sensorimotor control system must build an internal representation of both the force and mechanical impedance. As it is not practical to either learn or store motor commands for every possible future action, the sensorimotor control system generalizes a control strategy for a range of movements based on learning performed over a set of movements. Here, we introduce a computational model for this learning and generalization, which specifies how to learn feedforward muscle activity in a function of the state space. Specifically, by incorporating co-activation as a function of error into the feedback command, we are able to derive an algorithm from a gradient descent minimization of motion error and effort, subject to maintaining a stability margin. This algorithm can be used to learn to coordinate any of a variety of motor primitives such as force fields, muscle synergies, physical models or artificial neural networks. This model for human learning and generalization is able to adapt to both stable and unstable dynamics, and provides a controller for generating efficient adaptive motor behavior in robots. Simulation results exhibit predictions consistent with all experiments on learning of novel dynamics requiring adaptation of force and impedance, and enable us to re-examine some of the previous interpretations of experiments on generalization. © 2012 Kadiallah et al.

Exploring the use of sensors to measure behavioral interactions: an experimental evaluation of using hand trajectories.

Humans appear to be sensitive to relative small changes in their surroundings. These changes are often initially perceived as irrelevant, but they can cause significant changes in behavior. However, how exactly people's behavior changes is often hard to quantify. A reliable and valid tool is needed in order to address such a question, ideally measuring an important point of interaction, such as the hand. Wearable-body-sensor systems can be used to obtain valuable, behavioral information. These systems are particularly useful for assessing functional interactions that occur between the endpoints of the upper limbs and our surroundings. A new method is explored that consists of computing hand position using a wearable sensor system and validating it against a gold standard reference measurement (optical tracking device). Initial outcomes related well to the gold standard measurements (r = 0.81) showing an acceptable average root mean square error of 0.09 meters. Subsequently, the use of this approach was further investigated by measuring differences in motor behavior, in response to a changing environment. Three subjects were asked to perform a water pouring task with three slightly different containers. Wavelet analysis was introduced to assess how motor consistency was affected by these small environmental changes. Results showed that the behavioral motor adjustments to a variable environment could be assessed by applying wavelet coherence techniques. Applying these procedures in everyday life, combined with correct research methodologies, can assist in quantifying how environmental changes can cause alterations in our motor behavior.

A Quantitative Evaluation of the AVITEWRITE Model of Handwriting Learning

Much sensory-motor behavior develops through imitation, as during the learning of handwriting by children. Such complex sequential acts are broken down into distinct motor control synergies, or muscle groups, whose activities overlap in time to generate continuous, curved movements that obey an intense relation between curvature and speed. The Adaptive Vector Integration to Endpoint (AVITEWRITE) model of Grossberg and Paine (2000) proposed how such complex movements may be learned through attentive imitation. The model suggest how frontal, parietal, and motor cortical mechanisms, such as difference vector encoding, under volitional control from the basal ganglia, interact with adaptively-timed, predictive cerebellar learning during movement imitation and predictive performance. Key psycophysical and neural data about learning to make curved movements were simulated, including a decrease in writing time as learning progresses; generation of unimodal, bell-shaped velocity profiles for each movement synergy; size scaling with isochrony, and speed scaling with preservation of the letter shape and the shapes of the velocity profiles; an inverse relation between curvature and tangential velocity; and a Two-Thirds Power Law relation between angular velocity and curvature. However, the model learned from letter trajectories of only one subject, and only qualitative kinematic comparisons were made with previously published human data. The present work describes a quantitative test of AVITEWRITE through direct comparison of a corpus of human handwriting data with the model's performance when it learns by tracing human trajectories. The results show that model performance was variable across subjects, with an average correlation between the model and human data of 89+/-10%. The present data from simulations using the AVITEWRITE model highlight some of its strengths while focusing attention on areas, such as novel shape learning in children, where all models of handwriting and learning of other complex sensory-motor skills would benefit from further research.

A cross-sectional study of neuropsychiatric symptoms in 435 patients with Alzheimer's disease

OBJECTIVES: The behavioral and psychological symptoms of Alzheimer's disease (AD) are associated with significant patient and caregiver distress and increased likelihood of institutionalization. We attempted to characterize in detail these symptoms and the distress they cause to caregivers. METHODS: Patients with probable AD were assessed with the Mini-Mental State Exam (MMSE), Functional Assessment Staging (FAST), and the Neuropsychiatric Inventory With Caregiver Distress (NPI-D). RESULTS: Four hundred and thirty-five patients were recruited. Neuropsychiatric symptoms of all types were highly prevalent. The most common and most persistent symptom was apathy (75%). Delusional symptoms were the least persistent. Depressive and apathetic symptoms were the earliest to appear, and hallucinations, elation/euphoria, and aberrant motor behavior were the latest symptoms to emerge. Hallucinations were significantly more common in severe dementia. Symptoms of irritability were most prevalent in early disease. Total Neuropsychiatric Symptom score was significantly correlated with MMSE and FAST score. Caregivers rated their own emotional distress levels as moderate or severe for 10 out of 12 symptom domains. The sum total of caregiver distress was strongly correlated with total NPI-D but not cognition or functional state. Distress levels did not vary when analyzed according to the patients' place of residence. CONCLUSIONS: Potentially treatable neuropsychiatric symptoms are common in AD and represent a major source of distress among caregivers. The extent of neuropsychiatric symptomatology is seen to correlate with the level of functional and cognitive disability although some symptoms are variably persistent and related to disease stage.

Neuromuscular-skeletal origins of predominant patterns of coordination in a rhythmic two-joint arm movement

The authors tested for predominant patterns of coordination in the combination of rhythmic flexion-extension (FE) and supination-pronation (SP) at the elbow-joint complex. Participants (N = 10) spontaneously established in-phase (supination synchronized with flexion) and antiphase (pronation synchronized with flexion) patterns. In addition, the authors used a motorized robot arm to generate involuntary SP movements with different phase relations with respect to voluntary FE. The involuntarily induced in-phase pattern was accentuated and was more consistent than other patterns. That result provides evidence that the predominance of the in-phase pattern originates in the influence of neuro-muscular-skeletal constraints rather than in a preference dictated by perceptual-cognitive factors implicated in voluntary control. Neuromuscular-skeletal constraints involved in the predominance of the in-phase and the antiphase patterns are discussed.

Developmental changes in the response to obstacles during prehension

Adults are proficient at reaching to grasp objects of interest in a cluttered workspace. The issue of concern, obstacle avoidance, was studied in 3 groups of young children aged 11-12, 9-10, and 7-8 years (n = 6 in each) and in 6 adults aged 18-24 years. Adults slowed their movements and decreased their maximum grip aperture when an obstacle was positioned close to a target object (the effect declined as the distance between target and obstacle increased). The children showed the same pattern, but the magnitude of the effect was quite different. In contrast to the adults, the obstacle continued to have a large effect when it was some distance from the target (and provided no physical obstruction to movement).