Reliability and representational bandwidth in the auditory cortex

It is unclear why there are so many more neurons in sensory cortex than in the sensory periphery. One possibility is that these "extra" neurons are used to overcome cortical noise and faithfully represent the acoustic stimulus. Another possibility is that even after overcoming cortical noise, there is "excess representational bandwidth" available and that this bandwidth is used to represent conjunctions of auditory and nonauditory information for computation. Here, we discuss recent data about neuronal reliability in auditory cortex showing that cortical noise may not be as high as was previously believed. Although at present, the data suggest that auditory cortex neurons can be more reliable than those in the visual cortex, we speculate that the principles governing cortical computation are universal and that visual and other cortical areas can also exploit strategies based on similarly high-fidelity activity.     

Linking visual perception with human brain activity.

The past year has seen great advances in the use of functional magnetic resonance imaging (fMRI) to study the functional organization of the human visual cortex, to measure the neuronal correlates of visual perception, and to test computational theories of vision. Activity in particular visual brain areas, as measured with fMRI, has been found to correlate with psychophysical performance, with visual attention, and with subjective perceptual experience.     

New insights into Alzheimer's disease progression: a combined TMS and structural MRI study

Background:

Combination of structural and functional data of the human brain can provide detailed information of neurodegenerative diseases and the influence of the disease on various local cortical areas.

Methodology and Principal Findings:

To examine the relationship between structure and function of the brain the cortical thickness based on structural magnetic resonance images and motor cortex excitability assessed with transcranial magnetic stimulation were correlated in Alzheimer''s disease (AD) and mild cognitive impairment (MCI) patients as well as in age-matched healthy controls. Motor cortex excitability correlated negatively with cortical thickness on the sensorimotor cortex, the precuneus and the cuneus but the strength of the correlation varied between the study groups. On the sensorimotor cortex the correlation was significant only in MCI subjects. On the precuneus and cuneus the correlation was significant both in AD and MCI subjects. In healthy controls the motor cortex excitability did not correlate with the cortical thickness.

Conclusions:

In healthy subjects the motor cortex excitability is not dependent on the cortical thickness, whereas in neurodegenerative diseases the cortical thinning is related to weaker cortical excitability, especially on the precuneus and cuneus. However, in AD subjects there seems to be a protective mechanism of hyperexcitability on the sensorimotor cortex counteracting the prominent loss of cortical volume since the motor cortex excitability did not correlate with the cortical thickness. Such protective mechanism was not found on the precuneus or cuneus nor in the MCI subjects. Therefore, our results indicate that the progression of the disease proceeds with different dynamics in the structure and function of neuronal circuits from normal conditions via MCI to AD.     

Constructing Noise-Invariant Representations of Sound in the Auditory Pathway

Identifying behaviorally relevant sounds in the presence of background noise is one of the most important and poorly understood challenges faced by the auditory system. An elegant solution to this problem would be for the auditory system to represent sounds in a noise-invariant fashion. Since a major effect of background noise is to alter the statistics of the sounds reaching the ear, noise-invariant representations could be promoted by neurons adapting to stimulus statistics. Here we investigated the extent of neuronal adaptation to the mean and contrast of auditory stimulation as one ascends the auditory pathway. We measured these forms of adaptation by presenting complex synthetic and natural sounds, recording neuronal responses in the inferior colliculus and primary fields of the auditory cortex of anaesthetized ferrets, and comparing these responses with a sophisticated model of the auditory nerve. We find that the strength of both forms of adaptation increases as one ascends the auditory pathway. To investigate whether this adaptation to stimulus statistics contributes to the construction of noise-invariant sound representations, we also presented complex, natural sounds embedded in stationary noise, and used a decoding approach to assess the noise tolerance of the neuronal population code. We find that the code for complex sounds in the periphery is affected more by the addition of noise than the cortical code. We also find that noise tolerance is correlated with adaptation to stimulus statistics, so that populations that show the strongest adaptation to stimulus statistics are also the most noise-tolerant. This suggests that the increase in adaptation to sound statistics from auditory nerve to midbrain to cortex is an important stage in the construction of noise-invariant sound representations in the higher auditory brain.     

Brain physiology and origin of the human subjective experience

The modern approaches to the problem of the brain basis of subjective experience are reviewed in the paper. The main hypothesis proposes that the events of subjective experience emerge as a result of information comparison and synthesis in crucial for this mental function cortical areas. This synthesis is provided by the special organization of brain processes which includes circulation of nerve impulses in the brain structures. Memory traces are retrieved during this process, and then the appropriate centers of motivations and emotions are activated. Afterwards, the excitation returns to the sites of initial projections, where the synthesis of new information and that retrieved from memory is performed. The hypothesis has been proposed by the author more than twenty years ago and is based on the experimental study of the brain mechanisms of sensation and thinking. It is also shown that the frontal cortex and, particularly, the verbal centers are involved in recognition and decision making. The last part of the paper deals with the problem of the functional significance of subjective events. The possible double bottom-up and top-down determination of brain and mental events is considered and the importance of the search for experimental approaches to these problems is argued.     

Rhythms of Consciousness: Binocular Rivalry Reveals Large-Scale Oscillatory Network Dynamics Mediating Visual Perception

Consciousness has been proposed to emerge from functionally integrated large-scale ensembles of gamma-synchronous neural populations that form and dissolve at a frequency in the theta band. We propose that discrete moments of perceptual experience are implemented by transient gamma-band synchronization of relevant cortical regions, and that disintegration and reintegration of these assemblies is time-locked to ongoing theta oscillations. In support of this hypothesis we provide evidence that (1) perceptual switching during binocular rivalry is time-locked to gamma-band synchronizations which recur at a theta rate, indicating that the onset of new conscious percepts coincides with the emergence of a new gamma-synchronous assembly that is locked to an ongoing theta rhythm; (2) localization of the generators of these gamma rhythms reveals recurrent prefrontal and parietal sources; (3) theta modulation of gamma-band synchronization is observed between and within the activated brain regions. These results suggest that ongoing theta-modulated-gamma mechanisms periodically reintegrate a large-scale prefrontal-parietal network critical for perceptual experience. Moreover, activation and network inclusion of inferior temporal cortex and motor cortex uniquely occurs on the cycle immediately preceding responses signaling perceptual switching. This suggests that the essential prefrontal-parietal oscillatory network is expanded to include additional cortical regions relevant to tasks and perceptions furnishing consciousness at that moment, in this case image processing and response initiation, and that these activations occur within a time frame consistent with the notion that conscious processes directly affect behaviour.     

Activation and inhibitory types of brain neuronal sinchronisation: genesis and functional significance

The generalization of studies of the systemic work of cortical neurons during the information processing initiated in Livanov's laboratory allows us to make the following conclusions in terms of the modem state of the problem. In different brain structures, there is a considerable degree of correlation between neuronal activities and slow potential oscillations. In the state of rest or deep extinction, the synchronization of brain neurons increases by the inhibitory type. In the active state of the brain, the degree of neuronal synchronization increases by the activation type. Both processes are determined by the involvement of the whole brain inhibitory or activation systems, respectively. A relative augmentation of inhibitory processes results in a restriction of information transmission in the cortex and prevents its fixation in memory of the system. A decrease in inhibition facilitates the excitation thransmission in the interconnected brain structures. Synchronous convergence of ordered polse flows ensures the information fixation during learning.     

Probing the cortical neuronal correlates of a sensory discrimination process

Key to understanding perception is the form of how sensory stimuli are represented in the evoked activity of the brain. Here, we addressed the question of which components of the evoked neuronal activity in the somatosensory cortex represent the stimulus features while trained monkeys discriminated the difference in frequency between two vibrotactile stimuli. We probed whether these cortical neuronal representations are essential to perception. The results show a strong link between the cortical representation of the stimulus and perception.     

Consciousness without cortex

Sensory consciousness — the awareness and ability to report subjective experiences — is a property of biological nervous systems that has evolved out of unconscious processing over hundreds of millions of years. From which brain structures and based on which mechanisms can conscious experience emerge? Based on the body of work in human and nonhuman primates, the emergence of consciousness is intimately associated with the workings of the mammalian cerebral cortex with its specific cell types and layered structure. However, recent neurophysiological recordings demonstrate a neuronal correlate of consciousness in the pallial endbrain of crows. These telencephalic integration centers in birds originate embryonically from other pallial territories, lack a layered architecture characteristic for the cerebral cortex, and exhibit independently evolved pallial cell types. This argues that the mammalian cerebral cortex is not a prerequisite for consciousness to emerge in all vertebrates. Rather, it seems that the anatomical and physiological principles of the telencephalic pallium offer this structure as a brain substrate for consciousness to evolve independently across vertebrate phylogeny.     

Enhanced cortical excitability in grapheme-color synesthesia and its modulation

Synesthesia is an unusual condition characterized by the over-binding of two or more features and the concomitant automatic and conscious experience of atypical, ancillary images or perceptions. Previous research suggests that synesthetes display enhanced modality-specific perceptual processing, but it remains unclear whether enhanced processing contributes to conscious awareness of color photisms. In three experiments, we investigated whether grapheme-color synesthesia is characterized by enhanced cortical excitability in primary visual cortex and the role played by this hyperexcitability in the expression of synesthesia. Using transcranial magnetic stimulation, we show that synesthetes display 3-fold lower phosphene thresholds than controls during stimulation of the primary visual cortex. We next used transcranial direct current stimulation to discriminate between two competing hypotheses of the role of hyperexcitability in the expression of synesthesia. We demonstrate that synesthesia can be selectively augmented with cathodal stimulation and attenuated with anodal stimulation of primary visual cortex. A control task revealed that the effect of the brain stimulation was specific to the experience of synesthesia. These results indicate that hyperexcitability acts as a source of noise in visual cortex that influences the availability of the neuronal signals underlying conscious awareness of synesthetic photisms.     

Studies by DNA-RNA hybridization of transcriptional diversity in human brain

Abstract— Purified unique sequences of human DNA (from HeLa cells) were hybridized with various preparations of human brain KNA, to obtain estimates of the fraction of DNA transcribed. Values of 12 per cent were obtained for fetal brain increasing to 24 per cent for specific regions of adult brain. Right and left parietal and temporal cortical RNA gave similar plateau values but left frontal cortical RNA appeared to represent 2–3 times as much of the total genome as that from right frontal cortex. Lower values were obtained for fetal and adult brain stem and for RNA prepared from temporal cortex of a patient exhibiting gross cerebral atrophy. Attempts were made to assess the contributions of glial and neuronal cells by using human astrocytoma and mouse neuroblastoma RNA.     

Oscillatory synchronization in large-scale cortical networks predicts perception

Normal brain function requires the dynamic interaction of functionally specialized but widely distributed cortical regions. Long-range synchronization of oscillatory signals has been suggested to mediate these interactions within large-scale cortical networks, but direct evidence is sparse. Here we show that oscillatory synchronization is organized in such large-scale networks. We implemented an analysis approach that allows for imaging synchronized cortical networks and applied this technique to EEG recordings in humans. We identified two networks: beta-band synchronization (~20 Hz) in a fronto-parieto-occipital network and gamma-band synchronization (~80 Hz) in a centro-temporal network. Strong perceptual correlates support their functional relevance: the strength of synchronization within these networks predicted the subjects' perception of an ambiguous audiovisual stimulus as well as the integration of auditory and visual information. Our results provide evidence that oscillatory neuronal synchronization mediates neuronal communication within frequency-specific, large-scale cortical networks.     

Increased cortical thickness in sports experts: a comparison of diving players with the controls

Sports experts represent a population of people who have acquired expertise in sports training and competition. Recently, the number of studies on sports experts has increased; however, neuroanatomical changes following extensive training are not fully understood. In this study, we used cortical thickness measurement to investigate the brain anatomical characteristics of professional divers with extensive training experience. A comparison of the brain anatomical characteristics of the non-athlete group with those of the athlete group revealed three regions with significantly increased cortical thickness in the athlete group. These regions included the left superior temporal sulcus, the right orbitofrontal cortex and the right parahippocampal gyrus. Moreover, a significant positive correlation between the mean cortical thickness of the right parahippocampal gyrus and the training experience was detected, which might indicate the effect of extensive training on diving players' brain structure.     

Intracortical synchronization of the epileptiform field potentials at different stages of ultrastructural reorganizations in neuronally isolates island in rats

A temporal delay (parameter of synchronization) between the incidence of epileptiform discharges in cortical sited located at a distance of 4 mm from each other was studied in rat intact cortex and neuronally isolated cortical slab using the cross-correlation function. Experiments were carried out at different stages of axonal sprouting. By 30 days of isolation, a significant increase in the number of boutons in the V cortical layer coincided with a significant decrease in the delay, whereas a reduction of the number of boutons by 90 days corresponded to its increase. These findings convincingly testify that the newly formed boutons form a basis for increase in synchronization and thus affect the epileptogenesis. The results obtained in this work and literature data suggest that under pathological conditions large pyramids of the V layer form a neuronal network which provides exclusively cortical synchronization of epileptiform field potentials.     

Stochastic resonance modulates neural synchronization within and between cortical sources

Neural synchronization is a mechanism whereby functionally specific brain regions establish transient networks for perception, cognition, and action. Direct addition of weak noise (fast random fluctuations) to various neural systems enhances synchronization through the mechanism of stochastic resonance (SR). Moreover, SR also occurs in human perception, cognition, and action. Perception, cognition, and action are closely correlated with, and may depend upon, synchronized oscillations within specialized brain networks. We tested the hypothesis that SR-mediated neural synchronization occurs within and between functionally relevant brain areas and thus could be responsible for behavioral SR. We measured the 40-Hz transient response of the human auditory cortex to brief pure tones. This response arises when the ongoing, random-phase, 40-Hz activity of a group of tuned neurons in the auditory cortex becomes synchronized in response to the onset of an above-threshold sound at its "preferred" frequency. We presented a stream of near-threshold standard sounds in various levels of added broadband noise and measured subjects' 40-Hz response to the standards in a deviant-detection paradigm using high-density EEG. We used independent component analysis and dipole fitting to locate neural sources of the 40-Hz response in bilateral auditory cortex, left posterior cingulate cortex and left superior frontal gyrus. We found that added noise enhanced the 40-Hz response in all these areas. Moreover, added noise also increased the synchronization between these regions in alpha and gamma frequency bands both during and after the 40-Hz response. Our results demonstrate neural SR in several functionally specific brain regions, including areas not traditionally thought to contribute to the auditory 40-Hz transient response. In addition, we demonstrated SR in the synchronization between these brain regions. Thus, both intra- and inter-regional synchronization of neural activity are facilitated by the addition of moderate amounts of random noise. Because the noise levels in the brain fluctuate with arousal system activity, particularly across sleep-wake cycles, optimal neural noise levels, and thus SR, could be involved in optimizing the formation of task-relevant brain networks at several scales under normal conditions.     

Effects of visual experience on the representation of objects in the prefrontal cortex

The perception and recognition of objects are improved by experience. Here, we show that monkeys' ability to recognize degraded objects was improved by several days of practice with these objects. This improvement was reflected in the activity of neurons in the prefrontal (PF) cortex, a brain region critical for a wide range of visual behaviors. Familiar objects activated fewer neurons than did novel objects, but these neurons were more narrowly tuned, and the object representation was more resistant to the effects of degradation, after experience. These results demonstrate a neural correlate of visual learning in the PF cortex of adult monkeys.     

Brightness induction: rate enhancement and neuronal synchronization as complementary codes

In cat visual cortex, we investigated with parallel recordings from multiple units the neuronal correlates of perceived brightness. The perceived brightness of a center grating was changed by varying the orientation or the relative spatial phase of a surrounding grating. Brightness enhancement by orientation contrast is associated with an increase of discharge rates of responses to the center grating but not with changes in spike synchronization. In contrast, if brightness enhancement is induced by phase offset, discharge rates are unchanged but synchronization increases between neurons responding to the center grating. The changes in synchronization correlate well with changes in perceived brightness that were assessed in parallel in human subjects using the same stimuli. These results indicate that in cerebral cortex the modulation of synchronicity of responses is used as a mechanism complementary to rate changes to enhance the saliency of neuronal responses.     

Assembly organization of the motor region of the cerebral cortex in adult humans

Field IV and adjacent areas of fields VI, VI op, VI p of the human brain cortex were examined. Frontal, sagittal, tangential sections stained after the techniques of Nissle, Brachet, Klüver--Barer, Cajal and Peters demonstrated the motor cortex to contain a great number of local, with rare overlapping, groups of cellular columns, each of them being surrounded with a peculiar vessel-fibrillar capsule. A morphological unit resulted from topographic interdependens of neurons, vessels and fibres is considered as a neuronal assembly which occupies in the cortical space a figure of truncated upset cone or cylinder. Neuronal assemblies are distributed along radiate fibres and radial vessels, do not form regularly alternated raws, central axis of every assembly is perpendicular to the tangent line drawn in the given point of the cortical surface.     

The influence of cortical lesions on penicillin induced convulsive activity in the awake rat

1. Experiments were performed to investigate the effects of cortical lesions on convulsive behaviour. Rats were lesioned in the left motor or sensory cortex by aspirating cortical tissue 2 to 3 months prior to the elicitation of convulsions. Convulsions were induced in the awake rats by the GABA antagonist Na-penicillin (Na-PCN) which was applied into the superficial layer of the foreleg field of their right motor cortex. Convulsive activity was recorded by means of the EEG. 2. The time courses of convulsive cortical activity were similar in the animals without or with a cortical lesion. Generalized seizures belonged to the tonic-clonic type in both intact and lesioned rats. 3. The early period of convulsive activity was described by the time to the onset (latency) of the first convulsive potential, jerk and seizure, and by the mean repetition rate of jerks during the first ten minutes, and the duration of the first generalized seizure. None of these parameters was significantly affected by a cortical lesion. 4. The median duration of the convulsive activity in intact animals was 162 min. In rats with a lesion in the sensory cortex it raised to more than 540 min while a lesion of the motor cortex increased the median duration to more than 273 min. The differences between intact and lesioned rats were significant (p less than 0.01 and p = 0.05, respectively). 5. The median time to the onset of the last generalized seizure in intact rats corresponded to 92 min with respect to the time of Na-PCN application. In rats with a lesion of the sensory cortex the last seizure was generated 433 min and in animals with a lesion of the motor cortex 167 min after Na-PCN treatment of the motor cortex of one side. This increase of latency of the last seizure was significant for the rats with a lesioned sensory area (p less than 0.02) or motor area (p = 0.05) compared to that of the intact rats. Additionally, the number of generalized seizures was significantly (p less than 0.01) increased by both groups of rats with a lesion of the motor or sensory cortex. 6. It is suggested that a substantial lesion of the cortex decreases predominantly the intrinsic cortical inhibition thus destabilizing brain function. This destabilizing effect becomes pronounced under the condition of superimposed suppression of the GABAergic cortical component. It is concluded that the intrinsic cortical inhibitory mechanism which in the intact brain acts against hyperexcitation and prevents the development of neuronal synchronization, i.e. the formation of seizures, becomes less effective in performing this task once an abnormal brain activation has developed.     

Power-law inter-spike interval distributions infer a conditional maximization of entropy in cortical neurons

The brain is considered to use a relatively small amount of energy for its efficient information processing. Under a severe restriction on the energy consumption, the maximization of mutual information (MMI), which is adequate for designing artificial processing machines, may not suit for the brain. The MMI attempts to send information as accurate as possible and this usually requires a sufficient energy supply for establishing clearly discretized communication bands. Here, we derive an alternative hypothesis for neural code from the neuronal activities recorded juxtacellularly in the sensorimotor cortex of behaving rats. Our hypothesis states that in vivo cortical neurons maximize the entropy of neuronal firing under two constraints, one limiting the energy consumption (as assumed previously) and one restricting the uncertainty in output spike sequences at given firing rate. Thus, the conditional maximization of firing-rate entropy (CMFE) solves a tradeoff between the energy cost and noise in neuronal response. In short, the CMFE sends a rich variety of information through broader communication bands (i.e., widely distributed firing rates) at the cost of accuracy. We demonstrate that the CMFE is reflected in the long-tailed, typically power law, distributions of inter-spike intervals obtained for the majority of recorded neurons. In other words, the power-law tails are more consistent with the CMFE rather than the MMI. Thus, we propose the mathematical principle by which cortical neurons may represent information about synaptic input into their output spike trains.