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Neuroscience

D-Index
41
Citations
6899
World Ranking
7847
National Ranking
3368

Overview

Jürgen Kayser is affiliated with Columbia University in the United States and works primarily within the field of neuroscience. Their research focuses heavily on cognitive neuroscience, with additional work in experimental and cognitive psychology, health, cardiology and cardiovascular medicine, and psychiatry and mental health.

The main topics covered by Kayser's research include functional brain connectivity studies, neural and behavioral psychology studies, EEG and brain-computer interfaces, religion and spirituality related to psychology, heart rate variability and autonomic control, anxiety, depression, psychometrics, treatment, and cognitive processes, as well as broader mental health research topics.

Kayser has contributed to a number of publications in well-regarded scientific venues, frequently publishing in Biological Psychiatry, Psychophysiology, the Journal of Psychiatric Research, the Journal of Affective Disorders, and Psychiatry Research.

Some recent papers authored or co-authored by Kayser include:

  • Putamen Structure and Function in Familial Risk for Depression: A Multimodal Imaging Study, 2022, Biological Psychiatry
  • Resting posterior alpha power and adolescent major depressive disorder, 2021, Journal of Psychiatric Research
  • Predicting Depression Symptoms in Families at Risk for Depression: Interrelations of Posterior EEG Alpha and Religion/Spirituality, 2020, Journal of Affective Disorders
  • Feedback negativity and feedback-related P3 in individuals at risk for depression: Comparing surface potentials and current source densities, 2023, Psychophysiology
  • Neurophysiological responses to emotional faces predict dynamic fluctuations in affect in adolescents, 2023, Psychophysiology

Kayser frequently collaborates with a range of co-authors, with notable recurring collaborators including Myrna M. Weissman, Gerard E. Bruder, Marc J. Gameroff, Priya Wickramaratne, and Lidia Y.X. Panier.

Best Publications

  • Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks.

    Jürgen Kayser;Craig E. Tenke

  • Is Resting Anterior EEG Alpha Asymmetry a Trait Marker for Depression

    Stefan Debener;André Beauducel;Doreen Nessler;Burkhard Brocke

  • Optimizing PCA methodology for ERP component identification and measurement: theoretical rationale and empirical evaluation

    Jürgen Kayser;Craig E Tenke

  • Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates.

    Jürgen Kayser;Craig E. Tenke

  • Generator localization by current source density (CSD): implications of volume conduction and field closure at intracranial and scalp resolutions.

    Craig E. Tenke;Jürgen Kayser

  • On the benefits of using surface Laplacian (Current Source Density) methodology in electrophysiology

    Jürgen Kayser;Craig E. Tenke

  • Event-related potentials (ERPs) to hemifield presentations of emotional stimuli: differences between depressed patients and healthy adults in P3 amplitude and asymmetry.

    Jürgen Kayser;Gerard E Bruder;Craig E Tenke;Jonathan E Stewart

  • Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review.

    Jürgen Kayser;Craig E. Tenke

  • Reference-free quantification of EEG spectra: Combining current source density (CSD) and frequency principal components analysis (fPCA)

    Craig E. Tenke;Jürgen Kayser

  • Current Source Density Measures of Electroencephalographic Alpha Predict Antidepressant Treatment Response

    Craig E. Tenke;Jürgen Kayser;Carlye G. Manna;Shiva Fekri

  • Event-related potential (ERP) asymmetries to emotional stimuli in a visual half-field paradigm.

    Jürgen Kayser;Craig Tenke;Helge Nordby;Dag Hammerborg

  • Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression: A Randomized Clinical Trial

    Diego A. Pizzagalli;Christian A. Webb;Daniel G. Dillon;Craig E. Tenke

  • Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective.

    C. M. Corcoran;J. G. Keilp;J. Kayser;C. Klim

  • Reduced brain responses to novel sounds in depression: P3 findings in a novelty oddball task

    Gerard E. Bruder;Christopher J. Kroppmann;Jürgen Kayser;Jonathan W. Stewart

  • Left temporal lobe dysfunction in schizophrenia: event-related potential and behavioral evidence from phonetic and tonal dichotic listening tasks.

    Gerard Bruder;Jürgen Kayser;Craig Tenke;Xavier Amador

  • In search of the Rosetta Stone for scalp EEG: converging on reference-free techniques.

    Jürgen Kayser;Craig E. Tenke

  • Cognitive ERPs in depressive and anxiety disorders during tonal and phonetic oddball tasks.

    Gerard E. Bruder;Jürgen Kayser;Craig E. Tenke;Paul Leite

  • Trusting in or breaking with convention: towards a renaissance of principal components analysis in electrophysiology.

    Jürgen Kayser;Craig E. Tenke

  • A convenient method for detecting electrolyte bridges in multichannel electroencephalogram and event-related potential recordings.

    Craig E. Tenke;Jürgen Kayser

  • Dissociation of brain ERP topographies for tonal and phonetic oddball tasks

    Jürgen Kayser;Craig E. Tenke;Gerard E. Bruder

  • On the Reliability of Augmenting/Reducing Peak Amplitudes and Principal Component Analysis of Auditory Evoked Potentials

    André Beauducel;Stefan Debener;Burkhard Brocke;Jürgen Kayser

Frequent Co-Authors

Craig E. Tenke
Craig E. Tenke Columbia University
Gerard E. Bruder
Gerard E. Bruder Columbia University
Myrna M. Weissman
Myrna M. Weissman Columbia University
Priya Wickramaratne
Priya Wickramaratne Columbia University
Virginia Warner
Virginia Warner Columbia University
Diego A. Pizzagalli
Diego A. Pizzagalli Harvard University
Marc J. Gameroff
Marc J. Gameroff Columbia University
Patricia J. Deldin
Patricia J. Deldin University of Michigan–Ann Arbor
Melvin G. McInnis
Melvin G. McInnis University of Michigan–Ann Arbor
Lisa Miller
Lisa Miller Columbia University

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