What is he best known for?
The fields of study he is best known for:
- Cognition
- Neuroscience
- Statistics
Jürgen Kayser spends much of his time researching Electroencephalography, Communication, Varimax rotation, Audiology and Principal component analysis.
His study with Electroencephalography involves better knowledge in Neuroscience.
He has included themes like Theoretical computer science, Spline, Artificial intelligence, Pattern recognition and Laplace operator in his Communication study.
His work carried out in the field of Audiology brings together such families of science as Syllable, Event-related potential and Schizophrenia.
His research investigates the link between Principal component analysis and topics such as Covariance that cross with problems in Interpretability, Sample size determination, Interpolation and Factor analysis.
Jürgen Kayser has researched Laterality in several fields, including Electrophysiology and Depression.
His most cited work include:
- Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks. (433 citations)
- Is Resting Anterior EEG Alpha Asymmetry a Trait Marker for Depression (275 citations)
- Optimizing PCA methodology for ERP component identification and measurement: theoretical rationale and empirical evaluation (234 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Audiology, Electroencephalography, Developmental psychology, Depression and Cognitive psychology.
He interconnects Stimulus, Schizophrenia, Psychosis and Anxiety in the investigation of issues within Audiology.
His study in Electroencephalography is interdisciplinary in nature, drawing from both Alpha, Communication, Artificial intelligence, Brain mapping and Pattern recognition.
His work focuses on many connections between Pattern recognition and other disciplines, such as Covariance, that overlap with his field of interest in Interpretability.
His studies deal with areas such as Arousal and Oddball paradigm as well as Developmental psychology.
His Depression research is multidisciplinary, relying on both Association, Perception, Event-related potential and Clinical psychology.
He most often published in these fields:
- Audiology (48.75%)
- Electroencephalography (38.75%)
- Developmental psychology (30.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Audiology (48.75%)
- Electroencephalography (38.75%)
- Depression (21.25%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Audiology, Electroencephalography, Depression, Clinical psychology and Placebo.
His Audiology research includes elements of Antidepressant, Cognition, Emotional lateralization and Treatment response.
His research on Electroencephalography frequently links to adjacent areas such as Alpha.
The various areas that he examines in his Alpha study include Covariance and Pattern recognition.
His Depression research incorporates elements of Event-related potential, Perception and Anxiety.
His Clinical psychology research incorporates themes from Altruism and Social support.
Between 2017 and 2021, his most popular works were:
- Pretreatment Rostral Anterior Cingulate Cortex Theta Activity in Relation to Symptom Improvement in Depression: A Randomized Clinical Trial (65 citations)
- Pretreatment Rostral Anterior Cingulate Cortex Connectivity With Salience Network Predicts Depression Recovery: Findings From the EMBARC Randomized Clinical Trial. (16 citations)
- Temporal stability of posterior EEG alpha over twelve years (12 citations)
In his most recent research, the most cited papers focused on:
- Cognition
- Neuroscience
- Statistics
Jürgen Kayser focuses on Electroencephalography, Major depressive disorder, Anterior cingulate cortex, Resting eeg and Audiology.
His research ties Alpha and Electroencephalography together.
His Alpha study combines topics in areas such as Discriminant, Artificial intelligence and Covariance.
The Hamilton Rating Scale for Depression research Jürgen Kayser does as part of his general Major depressive disorder study is frequently linked to other disciplines of science, such as Placebo, therefore creating a link between diverse domains of science.
His work deals with themes such as Arousal, Vigilance and Treatment response, which intersect with Resting eeg.
His Audiology research is multidisciplinary, incorporating perspectives in Potential biomarkers, Stability, Eeg alpha, Antidepressant and Dominant alpha activity.
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