Promoting your articles to increase your digital identity and research impact – ScienceOpen Blog

Promoting your articles to increase your digital identity and research impact – ScienceOpen Blog

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Rapid growth in neuroscience research: A study of neuroscience papers from 2006-2015 has revealed the most productive journals and contributing countries, and the most popular research topics — ScienceDaily

Rapid growth in neuroscience research: A study of neuroscience papers from 2006-2015 has revealed the most productive journals and contributing countries, and the most popular research topics — ScienceDaily


Sleep-wake disturbances after traumatic brain injury: Synthesis of human and animal studies. – PubMed – NCBI

Sleep-wake disturbances after traumatic brain injury: Synthesis of human and animal studies. – PubMed – NCBI


Reactivation or transformation? Motor memory consolidation associated with cerebral activation time-locked to sleep spindles

Reactivation or transformation? Motor memory consolidation associated with cerebral activation time-locked to sleep spindles


Cells in the Retina Light the Way to Treating Jet Lag

Cells in the Retina Light the Way to Treating Jet Lag – Neuroscience News


Solomonova et al (2017): Sleep-dependent consolidation of face recognition and its relationship to REM sleep duration, REM density and Stage 2 sleep spindles

Source: Sleep-dependent consolidation of face recognition and its relationship to REM sleep duration, REM density and Stage 2 sleep spindles

SUMMARY
Face recognition is a highly specialized capability that has implicit and
explicit memory components. Studies show that learning tasks with facial
components are dependent on rapid eye movement and non-rapid eye
movement sleep features, including rapid eye movement sleep density
and fast sleep spindles. This study aimed to investigate the relationship
between sleep-dependent consolidation of memory for faces and partial
rapid eye movement sleep deprivation, rapid eye movement density, and
fast and slow non-rapid eye movement sleep spindles. Fourteen healthy
participants spent 1 night each in the laboratory. Prior to bed they
completed a virtual reality task in which they interacted with computergenerated
characters. Half of the participants (REMD group) underwent
a partial rapid eye movement sleep deprivation protocol and half (CTL
group) had a normal amount of rapid eye movement sleep. Upon
awakening, they completed a face recognition task that contained a
mixture of previously encountered faces from the task and new faces.
Rapid eye movement density and fast and slow sleep spindles were
detected using in-house software. The REMD group performed worse
than the CTL group on the face recognition task; however, rapid eye
movement duration and rapid eye movement density were not related to
task performance. Fast and slow sleep spindles showed differential
relationships to task performance, with fast spindles being positively and
slow spindles negatively correlated with face recognition. The results
support the notion that rapid eye movement and non-rapid eye
movement sleep characteristics play complementary roles in face
memory consolidation. This study also raises the possibility that fast
and slow spindles contribute in opposite ways to sleep-dependent
memory consolidation.


Sleep regulation of the distribution of cortical firing rates

Source: Sleep regulation of the distribution of cortical firing rates

pdf: Levenstein-2017-Sleep regulation of the distri

Sleep is thought to mediate both mnemonic and homeostatic
functions. However, the mechanism by which this brain state
can simultaneously implement the ‘selective’ plasticity needed
to consolidate novel memory traces and the ‘general’ plasticity
necessary to maintain a well-functioning neuronal system is
unclear. Recent findings show that both of these functions
differentially affect neurons based on their intrinsic firing rate, a
ubiquitous neuronal heterogeneity. Furthermore, they are both
implemented by the NREM slow oscillation, which also
distinguishes neurons based on firing rate during sequential
activity at the DOWN – UP transition. These findings suggest a
mechanism by which spiking activity during the slow oscillation
acts to maintain network statistics that promote a skewed
distribution of neuronal firing rates, and perturbation of that
activity by hippocampal replay acts to integrate new memory
traces into the existing cortical network.