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Kai J. Miller

Kai J. Miller

D-Index & Metrics

Neuroscience

D-Index
58
Citations
15446
World Ranking
4120
National Ranking
1872

Overview

Kai J. Miller is a researcher affiliated with the Mayo Clinic in the United States, specializing primarily in the fields of neuroscience and medicine. Their work encompasses several subfields including cognitive neuroscience, neurology, cellular and molecular neuroscience, psychiatry and mental health, as well as radiology, nuclear medicine, and imaging.

Their research topics cover a broad range of subjects related to brain function and neurological conditions, with a particular focus on:

  • EEG and Brain-Computer Interfaces
  • Neurological disorders and treatments
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Epilepsy research and treatment
  • Neuroscience and Neuropharmacology Research

Miller has contributed to numerous scholarly articles, with significant papers including:

  • "Advances in human intracranial electroencephalography research, guidelines and good practices" (2022), published in NeuroImage
  • "The current state of electrocorticography-based brain-computer interfaces" (2020), published in Neurosurgical FOCUS
  • "The development of an implantable deep brain stimulation device with simultaneous chronic electrophysiological recording and stimulation in humans" (2020), published in Biosensors and Bioelectronics
  • "Developmental trajectory of transmission speed in the human brain" (2023), published in Nature Neuroscience
  • "Surgical Outcomes of Laser Interstitial Thermal Therapy for Temporal Lobe Epilepsy: Systematic Review and Meta-analysis" (2020), published in World Neurosurgery

The researcher has collaborated extensively, with frequent co-authors including Gregory A. Worrell, Dora Hermes, Nicholas M. Gregg, Jamie J. Van Gompel, and Brian N. Lundstrom.

Miller's publications often appear in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • Neuromodulation Technology at the Neural Interface
  • Epilepsia
  • Operative Neurosurgery

This body of work reflects a sustained focus on advancing understanding and treatment of neurological conditions through innovative research methodologies including electrophysiological techniques and brain-computer interface technologies.

Best Publications

  • Review of the BCI Competition IV

    Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer

  • Power-Law Scaling in the Brain Surface Electric Potential

    Kai J. Miller;Larry B. Sorensen;Jeffrey G. Ojemann;Marcel den Nijs

  • Spectral changes in cortical surface potentials during motor movement.

    Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao

  • Cortical activity during motor execution, motor imagery, and imagery-based online feedback

    Kai J. Miller;Gerwin Schalk;Eberhard E. Fetz;Marcel den Nijs

  • Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.

    G Schalk;J Kubánek;K J Miller;N R Anderson

  • Two-dimensional movement control using electrocorticographic signals in humans

    G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson

  • Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease

    Coralie de Hemptinne;Elena S. Ryapolova-Webb;Ellen L. Air;Paul A. Garcia

  • Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans.

    K. J. Miller;S. Zanos;E. E. Fetz;M. den Nijs

  • Online Electromyographic Control of a Robotic Prosthesis

    P. Shenoy;K.J. Miller;B. Crawford;R.P.N. Rao

  • Dynamic circuit motifs underlying rhythmic gain control, gating and integration.

    Thilo Womelsdorf;Taufik A Valiante;Ned T Sahin;Kai J Miller

  • Electrocorticography-based brain computer Interface-the seattle experience

    E.C. Leuthardt;K.J. Miller;G. Schalk;R.P.N. Rao

  • Decoding flexion of individual fingers using electrocorticographic signals in humans.

    J Kubánek;K J Miller;J G Ojemann;J R Wolpaw

  • Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

    Kai J Miller;Christopher J Honey;Dora Hermes;Rajesh P N Rao

  • Automated electrocorticographic electrode localization on individually rendered brain surfaces

    Dora Hermes;Kai J. Miller;Herke Jan Noordmans;Mariska J. Vansteensel

  • Decoding spoken words using local field potentials recorded from the cortical surface

    Spencer Kellis;Kai Miller;Kyle Thomson;Richard Brown

  • Testing for nested oscillation

    W.D. Penny;E. Duzel;K.J. Miller;J.G. Ojemann

  • Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms

    Kai J. Miller;Dora Hermes;Dora Hermes;Christopher J. Honey;Adam O. Hebb

  • A Brain Area for Visual Numerals

    Jennifer Shum;Dora Hermes;Brett L. Foster;Mohammad Dastjerdi

  • Subthalamic nucleus neurons are synchronized to primary motor cortex local field potentials in Parkinson's disease.

    Shoichi A. Shimamoto;Elena S. Ryapolova-Webb;Jill L. Ostrem;Nicholas B. Galifianakis

  • Advances in human intracranial electroencephalography research, guidelines and good practices

    Unknown

  • Stimulus Dependence of Gamma Oscillations in Human Visual Cortex

    Dora Hermes;Dora Hermes;KJ Miller;KJ Miller;BA Wandell;Jonathan Winawer;Jonathan Winawer

Frequent Co-Authors

Jeffrey G. Ojemann
Jeffrey G. Ojemann University of Washington
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Gerwin Schalk
Gerwin Schalk Sichuan University
Casey H. Halpern
Casey H. Halpern University of Pennsylvania
Josef Parvizi
Josef Parvizi Stanford University
Eberhard E. Fetz
Eberhard E. Fetz University of Washington
Nick F. Ramsey
Nick F. Ramsey Utrecht University
Corentin Jacques
Corentin Jacques Université Catholique de Louvain
Jonathan Winawer
Jonathan Winawer New York University
Kevin S. Weiner
Kevin S. Weiner University of California, Berkeley

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