World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
42
Citations
12039
World Ranking
7518
National Ranking
3240

Psychology

D-Index
41
Citations
11845
World Ranking
7735
National Ranking
4146

Overview

James F. Cavanagh is affiliated with the University of New Mexico in the United States. Their research focuses primarily on neuroscience and medicine, with an emphasis on cognitive neuroscience, neurology, and cellular and molecular neuroscience. Their work also touches on molecular biology and epidemiology.

The main research topics that characterize their contributions include:

  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Neurological disorders and treatments
  • Neurotransmitter Receptor Influence on Behavior
  • Parkinson's Disease Mechanisms and Treatments

James F. Cavanagh has published in several venues, among which the most frequent include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Cognitive Affective & Behavioral Neuroscience
  • Neuropharmacology
  • Translational Psychiatry
  • Frontiers in Human Neuroscience

Selected recent papers authored or co-authored by James F. Cavanagh and collaborators are:

  • "Linear predictive coding distinguishes spectral EEG features of Parkinson's disease," 2020, Parkinsonism & Related Disorders
  • "Frontal theta and beta oscillations during lower-limb movement in Parkinson's disease," 2020, Clinical Neurophysiology
  • "Timing variability and midfrontal ~4 Hz rhythms correlate with cognition in Parkinson's disease," 2021, npj Parkinson's Disease
  • "Electrophysiological biomarkers of behavioral dimensions from cross-species paradigms," 2021, Translational Psychiatry
  • "Neural signatures of arbitration between Pavlovian and instrumental action selection," 2021, PLoS Computational Biology

Frequent collaborators in their research include:

  • Jonathan L. Brigman
  • Nandakumar S. Narayanan
  • Rachel C. Cole
  • Arturo I. Espinoza
  • Arun Singh

Best Publications

  • Frontal theta as a mechanism for cognitive control

    James F. Cavanagh;Michael J. Frank

  • Prelude to and resolution of an error: EEG phase synchrony reveals cognitive control dynamics during action monitoring

    James F. Cavanagh;Michael X Cohen;Michael X Cohen;John J. B. Allen

  • Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold

    James F Cavanagh;Thomas V Wiecki;Michael X Cohen;Michael X Cohen;Christina M Figueroa

  • Theta lingua franca: A common mid-frontal substrate for action monitoring processes

    James F. Cavanagh;James F. Cavanagh;Laura Zambrano-Vazquez;John J.B. Allen

  • Frontal midline theta reflects anxiety and cognitive control: meta-analytic evidence.

    James F. Cavanagh;Alexander J. Shackman

  • Contemplative/emotion training reduces negative emotional behavior and promotes prosocial responses.

    Margaret E Kemeny;Carol Foltz;James F Cavanagh;Margaret Cullen

  • Frontal theta links prediction errors to behavioral adaptation in reinforcement learning.

    James F. Cavanagh;Michael Joshua Frank;Theresa J. Klein;John J. B. Allen

  • Single-trial regression elucidates the role of prefrontal theta oscillations in response conflict

    Michael X Cohen;James F Cavanagh

  • Eye tracking and pupillometry are indicators of dissociable latent decision processes.

    James F. Cavanagh;Thomas V. Wiecki;Angad Kochar;Michael J. Frank

  • Frontal Theta Reflects Uncertainty and Unexpectedness during Exploration and Exploitation

    James F. Cavanagh;Christina M. Figueroa;Michael X Cohen;Michael X Cohen;Michael J. Frank

  • Common medial frontal mechanisms of adaptive control in humans and rodents

    Nandakumar S Narayanan;James F Cavanagh;Michael J Frank;Mark Laubach

  • fMRI and EEG predictors of dynamic decision parameters during human reinforcement learning.

    Michael J. Frank;Chris Gagne;Erika Nyhus;Sean Masters

  • Frontal Theta Overrides Pavlovian Learning Biases

    James F. Cavanagh;Ian Eisenberg;Marc Guitart-Masip;Quentin Huys

  • Linear predictive coding distinguishes spectral EEG features of Parkinson's disease.

    Fahim Anjum;Soura Dasgupta;Raghuraman Mudumbai;Arun Singh

  • Frontal theta predicts specific cognitive control-induced behavioural changes beyond general reaction time slowing.

    Patrick S. Cooper;Frini Karayanidis;Montana McKewen;Samuel McLellan-Hall

  • Cortical delta activity reflects reward prediction error and related behavioral adjustments, but at different times.

    James F. Cavanagh

  • Mood effects on the ERP processing of emotional intensity in faces : A P3 investigation with depressed students

    James Cavanagh;Mark W. Geisler

  • Task-related dissociation in ERN amplitude as a function of obsessive-compulsive symptoms.

    Theo O.J. Gründler;James F. Cavanagh;Christina M. Figueroa;Michael J. Frank

  • D1-Dependent 4 Hz Oscillations and Ramping Activity in Rodent Medial Frontal Cortex during Interval Timing

    Krystal L. Parker;Kuan-Hua Chen;Johnathan R. Kingyon;James F. Cavanagh

  • Mid-frontal theta activity is diminished during cognitive control in Parkinson's disease.

    Arun Singh;Sarah Pirio Richardson;Nandakumar Narayanan;James F. Cavanagh

  • Multiple Dissociations Between Comorbid Depression and Anxiety on Reward and Punishment Processing: Evidence From Computationally Informed EEG

    James F. Cavanagh;Andrew W. Bismark;Michael J. Frank;John J. B. Allen

  • Social stress reactivity alters reward and punishment learning

    James F. Cavanagh;Michael J. Frank;John J. B. Allen

Frequent Co-Authors

Michael J. Frank
Michael J. Frank Brown University
John J.B. Allen
John J.B. Allen University of Arizona
Michael X Cohen
Michael X Cohen Radboud University
Nandakumar S. Narayanan
Nandakumar S. Narayanan University of Iowa
Andrew R. Mayer
Andrew R. Mayer Mind Research Network
Marc Guitart-Masip
Marc Guitart-Masip Karolinska Institute
Ronald A. Yeo
Ronald A. Yeo University of New Mexico
Margaret E. Kemeny
Margaret E. Kemeny University of California, San Francisco
Paul Ekman
Paul Ekman University of California, San Francisco
Samuel J. Gershman
Samuel J. Gershman Harvard University

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