966 resultados para Brain activity


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Studies of delayed nonmatching-to-sample (DNMS) performance following lesions of the monkey cortex have revealed a critical circuit of brain regions involved in forming memories and retaining and retrieving stimulus representations. Using event-related functional magnetic resonance imaging (fMRI), we measured brain activity in 10 healthy human participants during performance of a trial-unique visual DNMS task using novel barcode stimuli. The event-related design enabled the identification of activity during the different phases of the task (encoding, retention, and retrieval). Several brain regions identified by monkey studies as being important for successful DNMS performance showed selective activity during the different phases, including the mediodorsal thalamic nucleus (encoding), ventrolateral prefrontal cortex (retention), and perirhinal cortex (retrieval). Regions showing sustained activity within trials included the ventromedial and dorsal prefrontal cortices and occipital cortex. The present study shows the utility of investigating performance on tasks derived from animal models to assist in the identification of brain regions involved in human recognition memory.

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The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatial regions as well as larger connectome sub-networks are considered. This framework is applied to human brain fMRI recordings of resting-state activity and DSI-inferred structural connectivity. We find that strong functional coupling across large spatial distances distinguishes functional hubs from unimodal low-level areas, and that this long-range functional coupling correlates with structural long-range efficiency on the connectome. We also find a set of connectome regions that are both internally integrated and coupled to the rest of the brain, and which resemble previously reported resting-state networks. Finally, we argue that information-theoretic measures are useful for characterizing the functional organization of the brain at multiple scales.

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Behavioral and brain responses to identical stimuli can vary with experimental and task parameters, including the context of stimulus presentation or attention. More surprisingly, computational models suggest that noise-related random fluctuations in brain responses to stimuli would alone be sufficient to engender perceptual differences between physically identical stimuli. In two experiments combining psychophysics and EEG in healthy humans, we investigated brain mechanisms whereby identical stimuli are (erroneously) perceived as different (higher vs lower in pitch or longer vs shorter in duration) in the absence of any change in the experimental context. Even though, as expected, participants' percepts to identical stimuli varied randomly, a classification algorithm based on a mixture of Gaussians model (GMM) showed that there was sufficient information in single-trial EEG to reliably predict participants' judgments of the stimulus dimension. By contrasting electrical neuroimaging analyses of auditory evoked potentials (AEPs) to the identical stimuli as a function of participants' percepts, we identified the precise timing and neural correlates (strength vs topographic modulations) as well as intracranial sources of these erroneous perceptions. In both experiments, AEP differences first occurred ∼100 ms after stimulus onset and were the result of topographic modulations following from changes in the configuration of active brain networks. Source estimations localized the origin of variations in perceived pitch of identical stimuli within right temporal and left frontal areas and of variations in perceived duration within right temporoparietal areas. We discuss our results in terms of providing neurophysiologic evidence for the contribution of random fluctuations in brain activity to conscious perception.

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Currently, there is an increased interest in γ-hydroxybutyric acid (GHB) and its effects onsleep. This compound, sometimes referred to as 'rape drug', was recently approved as atreatment for the sleep disorder narcolepsy. Although several studies suggest that GHBinduces slow-wave sleep duration and improves sleep quality by increasing EEG slow-waveactivity, others question its ability to induce physiological sleep. GHB's mechanism of actionis still unclear, although in vivo and in vitro it seems to act at high doses as a low-affinityagonist of GABAB receptors. Furthermore, the role GABAB receptors play in sleep and theelectroencephalogram (EEG) is largely unknown.The aim of this project was therefore to investigate the effects of GHB on sleep and EEG, theinvolvement of GABAB receptors in mediating these effects, as well as the intrinsic role ofeach GABAB receptor subunit in the regulation of sleep. Thus, we administered GHB andbaclofen (BAC, a high-affinity agonist at GABAB receptor) to mice lacking the different GABABreceptor subunits and to healthy human volunteers.Our results, both in mice and humans, showed that GHB produced slow waves exclusivelythrough the stimulation of GABAB receptors, but did not induce physiological sleepnecessary to reduce sleep need and to increase cognitive performance. Unlike GHB, BACaffected the homeostatic regulation of sleep (sleep need) and induced a delayedhypersomnia. Finally, GABAB receptor and its subunits seem to play an important role insleep and in particular its circadian distribution.

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A fundamental trait of the human self is its continuum experience of space and time. Perceptual aberrations of this spatial and temporal continuity is a major characteristic of schizophrenia spectrum disturbances--including schizophrenia, schizotypal personality disorder and schizotypy. We have previously found the classical Perceptual Aberration Scale (PAS) scores, related to body and space, to be positively correlated with both behavior and temporo-parietal activation in healthy participants performing a task involving self-projection in space. However, not much is known about the relationship between temporal perceptual aberration, behavior and brain activity. To this aim, we composed a temporal Perceptual Aberration Scale (tPAS) similar to the traditional PAS. Testing on 170 participants suggested similar performance for PAS and tPAS. We then correlated tPAS and PAS scores to participants' performance and neural activity in a task of self-projection in time. tPAS scores correlated positively with reaction times across task conditions, as did PAS scores. Evoked potential mapping and electrical neuroimaging showed self-projection in time to recruit a network of brain regions at the left anterior temporal cortex, right temporo-parietal junction, and occipito-temporal cortex, and duration of activation in this network positively correlated with tPAS and PAS scores. These data demonstrate that schizotypal perceptual aberrations of both time and space, as reflected by tPAS and PAS scores, are positively correlated with performance and brain activation during self-projection in time in healthy individuals along the schizophrenia spectrum.

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Since the discovery of hypocretins/orexins (Hcrt/Ox) in 1998, several narcoleptic mouse models, such as Hcrt-KO, Hcrtrl-KO, Hcrtr2-KO and double receptors KO mice, and orexin-ataxin transgenic mice were generated. The available Hcrt mouse models do not allow the dissection of the specific role of Hcrt in each target region. Dr. Anne Vassalli generated loxP-flanked alleles for each Hcrt receptor, which are manipulated by Cre recombinase to generate mouse lines with disrupted Hcrtrl or Hcrtr2 (or both) in cell type-specific manner. The role of noradrenaline (NA) and dopamine (OA) in ttie regulation of vigilance states is well documented. The purpose of this thesis is to explore the role of the Hcrt input into these two monoaminergic systems. Chronic loss of Hcrtrl in NA neurons consolidated paradoxical sleep (PS), and altered wakefulness brain activity in baseline, during the sleep deprivation (SD), and when mice were challenged by a novel environment, or exposed to nest-building material. The analysis of alterations in the sleep EEG delta power showed a consistent correlation with the changes in the preceding waking quality in these mice. Targeted inactivation of Hcrt input into DA neurons showed that Hcrtr2 inactivation present the strongest phenotype. The loss of Hcrtr2 in DA neurons caused modified brain activities in spontaneous wakefulness, during SD, and in novel environmental conditions. In addition to alteration of wakefulness quality and quantity, conditional inactivation of Hcrtr2 in DA neurons caused an increased in time spent in PS in baseline and a delayed and less complete PS recovery after SD. In the first 30 min of sleep recovery, single (i.e. for Hcrtrl or Hcrtr2) conditional knockout receptor mice had opposite changes in delta activity, including an increased power density in the fast delta range with specific inactivation of Hcrtr2, but a decreased power density in the same range with specific inactivation of Hcrtrl in DA cells. These studies demonstrate a complex impact of Hcrt receptors signaling in both NA and DA system, not only on quantity and quality of wakefulness, but also on PS amount regulation as well as on SWS delta power expression. -- Depuis la découverte des hypocrétines/orexines (Hcrt/Ox) en 1998, plusieurs modèles de souris, narcoleptiques telles que Hcrt-KO, Hcrtr2-KO et récepteurs doubles KO et les souris transgéniques orexine-ataxine ont été générés. Les modèles de souris Hcrt disponibles ne permettaient pas la dissection du rôle spécifique de l'Hcrt dans chaque noyau neuronal cible. Notre laboratoire a généré des allèles loxP pour chacun des 2 gènes codant pour les récepteurs Hcrtr, qui sont manipulés par recombinase Cre pour générer des lignées de souris avec Hcrtrl inactivé, ou Hcrtr2 inactivé, (ou les deux), spécifiquement dans un type cellulaire particulier. Le rôle de la noradrénaline (NA) et la dopamine (DA) dans la régulation des états de vigilance est bien documentée. Le but de cette thèse est d'étudier le rôle de l'afférence Hcrt dans ces deux systèmes monoaminergiques au niveau de l'activité cérébrale telle qu'elle apparaît dans l'électroencéphalogramme (EEG). Mon travail montre que la perte chronique de Hcrtrl dans les neurones NA consolide le sommeil paradoxal (PS), et l'activité cérébrale de l'éveil est modifiée en condition spontanée, au cours d'une experience de privation de sommeil (SD), et lorsque les souris sont présentées à un nouvel environnement, ou exposées à des matériaux de construction du nid. Ces modifications de l'éveil sont corrélées à des modifications de puissance de l'activité delta du sommeil lent qui le suit. L'inactivation ciblée des Hcrtrs dans les neurones DA a montré que l'inactivation Hcrtr2 conduit au phénotype le plus marqué. La perte de Hcrtr2 dans les neurones DA mène à des modification d'activité cérébrale en éveil spontané, pendant SD, ainsi que dans des conditions environnementales nouvelles. En plus de l'altération de la qualité de l'éveil et de la quantité, l'inactivation conditionnelle de Hcrtr2 dans les neurones DA a provoqué une augmentation du temps passé en sommeil paradoxal (PS) en condition de base, et une reprise retardée et moins complète du PS après SD. Dans les 30 premières minutes de la récupération de sommeil, les modèles inactivés pour un seul des récepteurs (ie pour Hcrtrl ou Hcrtr2 seulement) montrent des changements opposés en activité delta, en particulier une densité de puissance accrue dans le delta rapide avec l'inactivation spécifique de Hcrtr2, mais une densité de puissance diminuée dans cette même gamme chez les souris inactivées spécifiquement en Hcrtrl dans les neurones DA. Ces études démontrent un impact complexe de l'inactivation de la neurotransmission au niveau des récepteurs d'Hcrt dans les deux compartiments NA et DA, non seulement sur la quantité et la qualité de l'éveil, mais aussi sur la régulation de quantité de sommeil paradoxal, ainsi que sur l'expression de la puissance delta pendant le sommeil lent.

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Interactions between stimuli's acoustic features and experience-based internal models of the environment enable listeners to compensate for the disruptions in auditory streams that are regularly encountered in noisy environments. However, whether auditory gaps are filled in predictively or restored a posteriori remains unclear. The current lack of positive statistical evidence that internal models can actually shape brain activity as would real sounds precludes accepting predictive accounts of filling-in phenomenon. We investigated the neurophysiological effects of internal models by testing whether single-trial electrophysiological responses to omitted sounds in a rule-based sequence of tones with varying pitch could be decoded from the responses to real sounds and by analyzing the ERPs to the omissions with data-driven electrical neuroimaging methods. The decoding of the brain responses to different expected, but omitted, tones in both passive and active listening conditions was above chance based on the responses to the real sound in active listening conditions. Topographic ERP analyses and electrical source estimations revealed that, in the absence of any stimulation, experience-based internal models elicit an electrophysiological activity different from noise and that the temporal dynamics of this activity depend on attention. We further found that the expected change in pitch direction of omitted tones modulated the activity of left posterior temporal areas 140-200 msec after the onset of omissions. Collectively, our results indicate that, even in the absence of any stimulation, internal models modulate brain activity as do real sounds, indicating that auditory filling in can be accounted for by predictive activity.

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This study used three Oculomotor Delayed Response (ODR) tasks to investigate the unique cognitive demands during the delay period. Changes in alpha power were used to index cognitive efforts during the delay period. Continuous EEGs from 25 healthy young adults (18-34 years) were recorded using dense electrode array. The data was analyzed by 6-cycle Morlet wavelet decompositions in the frequency range of 2-30 Hz to create time- frequency decompositions for four midline electrode sites. The 99% confidence intervals using the bootstrapped 20% trimmed mean of the 10 Hz frequency were used to examine the differences among conditions. Compared to two Memory conditions (Match and Non-Match), Control condition yielded significant differences in all frequencies over the entire trial period, suggesting a cognitive state difference. Compared to Match condition, the Non–Match condition had lower alpha activity during the delay period at each midline electrode site reflecting the higher cognitive effort required.

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Activity of the medial frontal cortex (MFC) has been implicated in attention regulation and performance monitoring. The MFC is thought to generate several event-related potential (ERPs) components, known as medial frontal negativities (MFNs), that are elicited when a behavioural response becomes difficult to control (e.g., following an error or shifting from a frequently executed response). The functional significance of MFNs has traditionally been interpreted in the context of the paradigm used to elicit a specific response, such as errors. In a series of studies, we consider the functional similarity of multiple MFC brain responses by designing novel performance monitoring tasks and exploiting advanced methods for electroencephalography (EEG) signal processing and robust estimation statistics for hypothesis testing. In study 1, we designed a response cueing task and used Independent Component Analysis (ICA) to show that the latent factors describing a MFN to stimuli that cued the potential need to inhibit a response on upcoming trials also accounted for medial frontal brain responses that occurred when individuals made a mistake or inhibited an incorrect response. It was also found that increases in theta occurred to each of these task events, and that the effects were evident at the group level and in single cases. In study 2, we replicated our method of classifying MFC activity to cues in our response task and showed again, using additional tasks, that error commission, response inhibition, and, to a lesser extent, the processing of performance feedback all elicited similar changes across MFNs and theta power. In the final study, we converted our response cueing paradigm into a saccade cueing task in order to examine the oscillatory dynamics of response preparation. We found that, compared to easy pro-saccades, successfully preparing a difficult anti-saccadic response was characterized by an increase in MFC theta and the suppression of posterior alpha power prior to executing the eye movement. These findings align with a large body of literature on performance monitoring and ERPs, and indicate that MFNs, along with their signature in theta power, reflects the general process of controlling attention and adapting behaviour without the need to induce error commission, the inhibition of responses, or the presentation of negative feedback.

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Despite the fact that physical health and cognitive abilities decline with aging, the ability to regulate emotion remains stable and in some aspects improves across the adult life span. Older adults also show a positivity effect in their attention and memory, with diminished processing of negative stimuli relative to positive stimuli compared with younger adults. The current paper reviews functional magnetic resonance imaging studies investigating age-related differences in emotional processing and discusses how this evidence relates to two opposing theoretical accounts of older adults’ positivity effect. The aging-brain model [Cacioppo et al. in: Social Neuroscience: Toward Understanding the Underpinnings of the Social Mind. New York, Oxford University Press, 2011] proposes that older adults’ positivity effect is a consequence of age-related decline in the amygdala, whereas the cognitive control hypothesis [Kryla-Lighthall and Mather in: Handbook of Theories of Aging, ed 2. New York, Springer, 2009; Mather and Carstensen: Trends Cogn Sci 2005;9:496–502; Mather and Knight: Psychol Aging 2005;20:554–570] argues that the positivity effect is a result of older adults’ greater focus on regulating emotion. Based on evidence for structural and functional preservation of the amygdala in older adults and findings that older adults show greater prefrontal cortex activity than younger adults while engaging in emotion-processing tasks, we argue that the cognitive control hypothesis is a more likely explanation for older adults’ positivity effect than the aging-brain model.