Zeke Barger

ORCID: 0000-0001-8226-0911
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About
Contact & Profiles
Research Areas
  • Sleep and Wakefulness Research
  • Circadian rhythm and melatonin
  • Neuroscience and Neuropharmacology Research
  • Neural dynamics and brain function
  • Obstructive Sleep Apnea Research
  • EEG and Brain-Computer Interfaces
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Neuroscience of respiration and sleep
  • Receptor Mechanisms and Signaling
  • Alzheimer's disease research and treatments
  • Ion channel regulation and function
  • Sleep and related disorders
  • interferon and immune responses
  • S100 Proteins and Annexins
  • Computational Drug Discovery Methods
  • Vestibular and auditory disorders
  • Memory and Neural Mechanisms
  • Neurogenesis and neuroplasticity mechanisms
  • Neuropeptides and Animal Physiology
  • Multiple Sclerosis Research Studies
  • Functional Brain Connectivity Studies

Howard Hughes Medical Institute
2019-2022

University of California, Berkeley
2019-2022

University Medical Center of the Johannes Gutenberg University Mainz
2014-2021

Johannes Gutenberg University Mainz
2014-2021

University of Washington
2015

Studying the biology of sleep requires accurate assessment state experimental subjects, and manual analysis relevant data is a major bottleneck. Recently, deep learning applied to electroencephalogram electromyogram has shown great promise as scoring method, approaching limits inter-rater reliability. As with any machine algorithm, inputs classifier are typically standardized in order remove distributional shift caused by variability signal collection process. However, scientific data,...

10.1371/journal.pone.0224642 article EN cc-by PLoS ONE 2019-12-13

Sleep disturbances are strongly associated with cardiovascular diseases. Baroreflex, a basic regulation mechanism, is modulated by sleep-wake states. Here, we show that neurons at key stages of baroreflex pathways also promote sleep. Using activity-dependent genetic labeling, tagged in the nucleus solitary tract (NST) activated blood pressure elevation and confirmed their barosensitivity optrode recording calcium imaging. Chemogenetic or optogenetic activation these promoted non-REM sleep...

10.1016/j.neuron.2022.08.027 article EN cc-by Neuron 2022-09-27

Abstract Aberrant activity of local functional networks underlies memory and cognition deficits in Alzheimer’s disease (AD). Hyperactivity was observed microcircuits mice AD-models showing plaques, also recently early stage AD mutants prior to amyloid deposition. However, effects on cortical remain unresolved. Using two-photon calcium imaging, we found altered temporal distributions (burstiness) the spontaneous layer II/III visual cortex neurons, a mouse model familial (5xFAD), before plaque...

10.1038/s41598-021-85912-0 article EN cc-by Scientific Reports 2021-03-23

Many structures of the mammalian CNS generate propagating waves electrical activity early in development. These are essential to development, mediating a variety developmental processes, such as axonal outgrowth and pathfinding, synaptogenesis, maturation ion channel receptor properties. In mouse cerebral cortex, occur between embryonic day 18 postnatal 8 originate pacemaker circuits septal nucleus piriform cortex. Here we show that genetic knock-out major synthetic enzyme for GABA, GAD67,...

10.1523/jneurosci.3811-13.2014 article EN cc-by-nc-sa Journal of Neuroscience 2014-03-12

Spontaneous activity in the developing brain helps refine neuronal connections before arrival of sensory-driven activity. In mouse neocortex during first postnatal week, waves spontaneous originating from pacemaker regions septal nucleus and piriform cortex propagate through neocortex. Using high-speed Ca(2+) imaging to resolve spatiotemporal dynamics wave propagation parasagittal slices, we show that hippocampus can act as an additional source neocortical waves. Some originate remain...

10.1002/dneu.22351 article EN Developmental Neurobiology 2015-09-19

Abstract Studying the biology of sleep requires accurate assessment state experimental subjects, and manual analysis relevant data is a major bottleneck. Recently, deep learning applied to electroencephalogram electromyogram has shown great promise as scoring method, approaching limits inter-rater reliability. As with any machine algorithm, inputs classifier are typically standardized in order remove distributional shift caused by variability signal collection process. However, scientific...

10.1101/813345 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2019-10-21

Cortical development involves the structuring of network features by genetically programmed molecular signaling pathways. Additionally, spontaneous ion channel activity refines neuronal connections. We examine Ca(2+) fluctuations in first postnatal week normal mouse neocortex and that expressing knockout transcription factor T-brain-1 (Tbr1): a molecule cortical patterning differentiation excitatory neurons. In cortex, glutamatergic neurons express Tbr1 just before onset population...

10.1002/dneu.22354 article EN Developmental Neurobiology 2015-10-16
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