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Neuroscience

D-Index
74
Citations
19779
World Ranking
2109
National Ranking
1003

Computer Science

D-Index
66
Citations
17338
World Ranking
2327
National Ranking
1160

Overview

Lucas C. Parra is affiliated with City College of New York in the United States. Their research spans multiple areas within neuroscience, with a focus on cognitive neuroscience and related subfields.

The main field of study for Parra is Neuroscience, with a total of 116 publications. Their work includes significant contributions within these subfields:

  • Cognitive Neuroscience
  • Neurology
  • Radiology, Nuclear Medicine and Imaging
  • Cellular and Molecular Neuroscience
  • Biomedical Engineering

Parra's research touches on several key topics, demonstrating a broad and interdisciplinary approach. These topics include:

  • Neural dynamics and brain function
  • Transcranial Magnetic Stimulation Studies
  • EEG and Brain-Computer Interfaces
  • Functional Brain Connectivity Studies
  • Neural and Behavioral Psychology Studies
  • Visual perception and processing mechanisms
  • Neuroscience and Neural Engineering

Among the frequent publication venues for Parra's work are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Brain stimulation
  • European Journal of Neuroscience
  • arXiv (Cornell University)
  • Clinical Neurophysiology

Recent papers include:

  • Temporal interference stimulation targets deep brain regions by modulating neural oscillations, 2020, Brain stimulation
  • Conscious processing of narrative stimuli synchronizes heart rate between individuals, 2021, Cell Reports
  • Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI, 2020, NeuroImage
  • Synchronized eye movements predict test scores in online video education, 2021, Proceedings of the National Academy of Sciences
  • Combined behavioral and electrophysiological evidence for a direct cortical effect of prefrontal tDCS on disorders of consciousness, 2020, Scientific Reports

Parra collaborates frequently with other researchers. Notable co-authors include:

  • Jens Madsen
  • Maximilian Nentwich
  • Yu Huang
  • Lukas Hirsch
  • Forouzan Farahani

Best Publications

  • Convolutive blind separation of non-stationary sources

    L. Parra;C. Spence

  • Recipes for the linear analysis of EEG.

    Lucas C. Parra;Clay D. Spence;Adam D. Gerson;Paul Sajda

  • Optimized multi-electrode stimulation increases focality and intensity at target.

    Jacek P Dmochowski;Abhishek Datta;Marom Bikson;Yuzhuo Su

  • An open resource for transdiagnostic research in pediatric mental health and learning disorders

    Lindsay M. Alexander;Jasmine Escalera;Lei Ai;Charissa Andreotti

  • Low-Intensity Electrical Stimulation Affects Network Dynamics by Modulating Population Rate and Spike Timing

    Davide Reato;Asif Rahman;Marom Bikson;Lucas C. Parra

  • Cellular effects of acute direct current stimulation: somatic and synaptic terminal effects

    Asif Rahman;Davide Reato;Mattia Arlotti;Fernando Gasca

  • Immediate neurophysiological effects of transcranial electrical stimulation.

    Anli Liu;Mihály Vöröslakos;Gregory Kronberg;Simon Henin

  • Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

    Yu Huang;Anli A Liu;Belen Lafon;Daniel Friedman

  • Inter-Individual Variation during Transcranial Direct Current Stimulation and Normalization of Dose Using MRI-Derived Computational Models.

    Abhishek Datta;Dennis Truong;Preet Minhas;Lucas C. Parra

  • Convolutive Blind Source Separation Methods

    Michael Syskind Pedersen;Jan Larsen;Ulrik Kjems;Lucas C. Parra

  • Geometric source separation: merging convolutive source separation with geometric beamforming

    L.C. Parra;C.V. Alvino

  • List-mode likelihood: EM algorithm and image quality estimation demonstrated on 2-D PET

    L. Parra;H.H. Barrett

  • Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control

    J. M. Hahne;F. Biebmann;N. Jiang;H. Rehbaum

  • Correlated components of ongoing EEG point to emotionally laden attention - a possible marker of engagement?

    Jacek P. Dmochowski;Paul Sajda;Joao Dias;Lucas C. Parra

  • Effects of weak transcranial alternating current stimulation on brain activity-a review of known mechanisms from animal studies.

    Davide Reato;Asif Rahman;Marom Bikson;Lucas C. Parra

  • Audience preferences are predicted by temporal reliability of neural processing.

    Jacek P. Dmochowski;Jacek P. Dmochowski;Matthew A. Bezdek;Brian P. Abelson;John S. Johnson

  • Direct current stimulation modulates LTP and LTD: activity dependence and dendritic effects

    Greg Kronberg;Morgan Bridi;Ted Abel;Marom Bikson

  • Realistic volumetric-approach to simulate transcranial electric stimulation—ROAST—a fully automated open-source pipeline

    Yu Huang;Abhishek Datta;Marom Bikson;Lucas C Parra

  • A SURVEY OF CONVOLUTIVE BLIND SOURCE SEPARATION METHODS

    Michael Syskind Pedersen;Jan Larsen;Ulrik Kjems;Lucas C. Parra

  • Cortically coupled computer vision for rapid image search

    A.D. Gerson;L.C. Parra;P. Sajda

  • Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation

    Yu Huang;Anli Liu;Belen Lafon;Daniel Friedman

Frequent Co-Authors

Marom Bikson
Marom Bikson City College of New York
Paul Sajda
Paul Sajda Columbia University
Abhishek Datta
Abhishek Datta City College of New York
Michael P. Milham
Michael P. Milham Child Mind Institute
Lucia Melloni
Lucia Melloni Max Planck Society
Alain de Cheveigné
Alain de Cheveigné École Normale Supérieure
Orrin Devinsky
Orrin Devinsky New York University
Simon P. Kelly
Simon P. Kelly University College Dublin
Gustavo Deco
Gustavo Deco Pompeu Fabra University
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin

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