% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Emery:268737,
      author       = {Emery, Brett Addison and Khanzada, Shahrukh and Hu, Xin and
                      Klütsch, Diana and Amin, Hayder},
      title        = {{R}ecording and {A}nalyzing {M}ultimodal {L}arge-{S}cale
                      {N}euronal {E}nsemble {D}ynamics on {CMOS}-{I}ntegrated
                      {H}igh-{D}ensity {M}icroelectrode {A}rray.},
      journal      = {JoVE science education},
      volume       = {Neuroscience},
      number       = {205},
      issn         = {1940-087X},
      address      = {Cambridge, MA},
      publisher    = {JoVE},
      reportid     = {DZNE-2024-00313},
      pages        = {66473},
      year         = {2024},
      note         = {ISSN 1940-087X not unique: **10 hits**.},
      abstract     = {Large-scale neuronal networks and their complex distributed
                      microcircuits are essential to generate perception,
                      cognition, and behavior that emerge from patterns of
                      spatiotemporal neuronal activity. These dynamic patterns
                      emerging from functional groups of interconnected neuronal
                      ensembles facilitate precise computations for processing and
                      coding multiscale neural information, thereby driving higher
                      brain functions. To probe the computational principles of
                      neural dynamics underlying this complexity and investigate
                      the multiscale impact of biological processes in health and
                      disease, large-scale simultaneous recordings have become
                      instrumental. Here, a high-density microelectrode array
                      (HD-MEA) is employed to study two modalities of neural
                      dynamics - hippocampal and olfactory bulb circuits from
                      ex-vivo mouse brain slices and neuronal networks from
                      in-vitro cell cultures of human induced pluripotent stem
                      cells (iPSCs). The HD-MEA platform, with 4096
                      microelectrodes, enables non-invasive, multi-site,
                      label-free recordings of extracellular firing patterns from
                      thousands of neuronal ensembles simultaneously at high
                      spatiotemporal resolution. This approach allows the
                      characterization of several electrophysiological
                      network-wide features, including single/-multi-unit spiking
                      activity patterns and local field potential oscillations. To
                      scrutinize these multidimensional neural data, we have
                      developed several computational tools incorporating machine
                      learning algorithms, automatic event detection and
                      classification, graph theory, and other advanced analyses.
                      By supplementing these computational pipelines with this
                      platform, we provide a methodology for studying the large,
                      multiscale, and multimodal dynamics from cell assemblies to
                      networks. This can potentially advance our understanding of
                      complex brain functions and cognitive processes in health
                      and disease. Commitment to open science and insights into
                      large-scale computational neural dynamics could enhance
                      brain-inspired modeling, neuromorphic computing, and neural
                      learning algorithms. Furthermore, understanding the
                      underlying mechanisms of impaired large-scale neural
                      computations and their interconnected microcircuit dynamics
                      could lead to the identification of specific biomarkers,
                      paving the way for more accurate diagnostic tools and
                      targeted therapies for neurological disorders.},
      keywords     = {Mice / Animals / Humans / Microelectrodes / Induced
                      Pluripotent Stem Cells / Neurons: physiology / Brain:
                      physiology / Electrophysiological Phenomena},
      cin          = {AG Amin},
      ddc          = {570},
      cid          = {I:(DE-2719)1710010},
      pnm          = {351 - Brain Function (POF4-351)},
      pid          = {G:(DE-HGF)POF4-351},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:38526084},
      doi          = {10.3791/66473},
      url          = {https://pub.dzne.de/record/268737},
}