4 research outputs found
Repertoires of spike avalanches are modulated by behavior and novelty
Neuronal avalanches measured as consecutive bouts of thresholded field potentials represent a statistical signature that the brain operates near a critical point. In theory, criticality optimizes stimulus sensitivity, information transmission, computational capability and mnemonic repertoires size. Field potential avalanches recorded via multielectrode arrays from cortical slice cultures are repeatable spatiotemporal activity patterns. It remains unclear whether avalanches of action potentials observed in forebrain regions of freely-behaving rats also form recursive repertoires, and whether these have any behavioral relevance. Here we show that spike avalanches, recorded from hippocampus and sensory neocortex of freely-behaving rats, constitute distinct families of recursive spatiotemporal patterns. A significant number of those patterns were specific to a behavioral state. Although avalanches produced during sleep were mostly similar to others that occurred during waking, the repertoire of patterns recruited during sleep differed significantly from that of waking. More importantly, exposure to novel objects increased the rate at which new patterns arose, also leading to changes in post-exposure repertoires, which were significantly different from those before the exposure. A significant number of families occurred exclusively during periods of whisker contact with objects, but few were associated with specific objects. Altogether, the results provide original evidence linking behavior and criticality at the spike level: spike avalanches form repertoires that emerge in waking, recur during sleep, are diversified by novelty and contribute to object representation
Psychosis and the control of lucid dreaming
Dreaming and psychosis share important features, such as intrinsic senseperceptions independent of external stimulation, and a general lack of criticism that is associated with reduced frontal cerebral activity. Awareness of dreaming while a dream is happening defines lucid dreaming (LD), a state in which the prefrontal cortex is more active than during regular dreaming. For this reason, LD has been proposed to be potentially therapeutic for psychotic patients. According to this view, psychotic patients would be expected to report LD less frequently, and with lower control ability, than healthy subjects. Furthermore, psychotic patients able to experience LD should present milder psychiatric symptoms, in comparison with psychotic patients unable to experience LD. To test these hypotheses, we investigated LD features (occurrence, control abilities, frequency, and affective valence) and psychiatric symptoms (measure by PANSS, BPRS and automated speech analysis) in 45 subjects with psychotic symptoms (25 with Schizophrenia (S) and 20 with Bipolar Disorder (B) diagnosis) versus 28 non-psychotic control (C) subjects. Psychotic lucid dreamers reported control of their dreams more frequently (67% of S and 73% of B) than non-psychotic lucid dreamers (only 23% of C; S > C with p=0. 0283, B > C with p=0.0150). Importantly, there was no clinical advantage for lucid dreamers among psychotic patients, even for the diagnostic question specifically related to lack of judgment and insight. Despite some limitations (e.g. transversal design, large variation of medications), these preliminary results support the notion that lucid dreaming is associated with psychosis, but falsify the hypotheses that we set out to test. A possible explanation is that psychosis enhances the experience of internal reality in detriment of external reality, and therefore lucid dreamers with psychotic symptoms would be more able to control their internal reality than non-psychotic lucid dreamers. Training dream lucidity is likely to produce safe psychological strengthening in a non-psychotic population, but in a psychotic population LD practice may further empower deliria and hallucinations, giving internal reality the appearance of external reality
Activation of frontal neocortical areas by vocal production in marmosets
Primates often rely on vocal communication to mediate social interactions. Although much is known about the acoustic structure of primate vocalizations and the social context in which they are usually uttered, our knowledge about the neocortical control of audio-vocal interactions in primates is still incipient, being mostly derived from lesion studies in squirrel monkeys and macaques. To map the neocortical areas related to vocal control in a New World primate species, the common marmoset, we employed a method previously used with success in other vertebrate species: Analysis of the expression of the immediate-early gene Egr-1 in freely behaving animals. The neocortical distribution of Egr-1 immunoreactive cells in three marmosets that were exposed to the playback of conspecific vocalizations and vocalized spontaneously (H/V group) was compared to data from three other marmosets that also heard the playback but did not vocalize (H/n group). The anterior cingulate cortex, the dorsomedial prefrontal cortex and the ventrolateral prefrontal cortex presented a higher number of Egr-1 immunoreactive cells in the H/V group than in H/n animals. Our results provide direct evidence that the ventrolateral prefrontal cortex, the region that comprises Broca's area in humans and has been associated with auditory processing of species-specific vocalizations and orofacial control in macaques, is engaged during vocal output in marmosets. Altogether, our results support the notion that the network of neocortical areas related to vocal communication in marmosets is quite similar to that of Old world primates. The vocal production role played by these areas and their importance for the evolution of speech in primates are discussed
Motor Coordination Correlates with Academic Achievement and Cognitive Function in Children
The relationship between exercise and cognition is an important topic of research that
only recently began to unravel. Here, we set out to investigate the relation between motor
skills, cognitive function, and school performance in 45 students from 8 to 14 years of
age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc),
agility (Shuttle Run Speed—running back and forth), school performance (Academic
Achievement Test), the Stroop test, and six sub-tests of the Wechsler Intelligence Scale
for Children-IV (WISC-IV). We found, that the Touch Test Disc was the best predictor of
school performance (R
2 = 0.20). Significant correlations were also observed between
motor coordination and several indices of cognitive function, such as the total score of
the Academic Achievement Test (AAT; Spearman’s rho = 0.536; p ≤ 0.001), as well
as two WISC-IV sub-tests: block design (R = −0.438; p = 0.003) and cancelation
(rho = −0.471; p = 0.001). All the other cognitive variables pointed in the same direction,
and even correlated with agility, but did not reach statistical significance. Altogether, the
data indicate that visual motor coordination and visual selective attention, but not agility,
may influence academic achievement and cognitive function. The results highlight the
importance of investigating the correlation between physical skills and different aspects
of cognition.The relationship between exercise and cognition is an important topic of research that
only recently began to unravel. Here, we set out to investigate the relation between motor
skills, cognitive function, and school performance in 45 students from 8 to 14 years of
age. We used a cross-sectional design to evaluate motor coordination (Touch Test Disc),
agility (Shuttle Run Speed—running back and forth), school performance (Academic
Achievement Test), the Stroop test, and six sub-tests of the Wechsler Intelligence Scale
for Children-IV (WISC-IV). We found, that the Touch Test Disc was the best predictor of
school performance (R
2 = 0.20). Significant correlations were also observed between
motor coordination and several indices of cognitive function, such as the total score of
the Academic Achievement Test (AAT; Spearman’s rho = 0.536; p ≤ 0.001), as well
as two WISC-IV sub-tests: block design (R = −0.438; p = 0.003) and cancelation
(rho = −0.471; p = 0.001). All the other cognitive variables pointed in the same direction,
and even correlated with agility, but did not reach statistical significance. Altogether, the
data indicate that visual motor coordination and visual selective attention, but not agility,
may influence academic achievement and cognitive function. The results highlight the
importance of investigating the correlation between physical skills and different aspects
of cognition