What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Neuroscience
- Electroencephalography
His primary areas of study are Electroencephalography, Neuroscience, Brain activity and meditation, Epilepsy and Anesthesia.
His Electroencephalography study combines topics from a wide range of disciplines, such as Electrophysiology, Audiology, Spectral density, Human brain and Scalp.
His work deals with themes such as Acoustics, Aliasing, High resolution eeg and Nyquist–Shannon sampling theorem, which intersect with Spectral density.
His Neuroscience study frequently links to other fields, such as Nuclear magnetic resonance.
The Brain activity and meditation study which covers Functional magnetic resonance imaging that intersects with Sensory system and Cortex.
His work carried out in the field of Anesthesia brings together such families of science as Sleep in non-human animals, Quiet sleep, Temporal lobe and Intensive care.
His most cited work include:
- Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep (370 citations)
- Spatial spectra of scalp EEG and EMG from awake humans. (300 citations)
- Development of neonatal EEG activity: From phenomenology to physiology (230 citations)
What are the main themes of his work throughout his whole career to date?
Sampsa Vanhatalo mostly deals with Electroencephalography, Neuroscience, Audiology, Pediatrics and Internal medicine.
His Electroencephalography research integrates issues from Anesthesia, Artificial intelligence and Scalp.
The study incorporates disciplines such as Intensive care and Epilepsy in addition to Anesthesia.
His work on Neurocognitive, Human brain, Premovement neuronal activity and Resting state fMRI as part of general Neuroscience study is frequently linked to Chemistry, bridging the gap between disciplines.
In general Pediatrics, his work in Neonatal intensive care unit is often linked to Gestational age and Extremely preterm linking many areas of study.
Sampsa Vanhatalo works mostly in the field of Internal medicine, limiting it down to topics relating to Endocrinology and, in certain cases, Serotonin.
He most often published in these fields:
- Electroencephalography (76.96%)
- Neuroscience (36.52%)
- Audiology (24.35%)
What were the highlights of his more recent work (between 2018-2021)?
- Electroencephalography (76.96%)
- Pediatrics (18.26%)
- Audiology (24.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Electroencephalography, Pediatrics, Audiology, Neuroscience and Functional brain.
His study on Seizure detection is often connected to Postmenstrual Age as part of broader study in Electroencephalography.
His Pediatrics study combines topics in areas such as Encephalopathy, Epilepsy, Semiology, Seizure types and Stroke.
His Audiology study incorporates themes from Mismatch negativity, Stimulation, Spectrum disorder and Tactile stimuli.
His work on Neurocognitive, Vigilance, Infant sleep and Cognition as part of his general Neuroscience study is frequently connected to Association, thereby bridging the divide between different branches of science.
Sampsa Vanhatalo combines subjects such as Reliability and Intraclass correlation with his study of Functional brain.
Between 2018 and 2021, his most popular works were:
- Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection. (21 citations)
- Preterm Birth Changes Networks of Newborn Cortical Activity. (17 citations)
- Large-scale brain modes reorganize between infant sleep states and carry prognostic information for preterms (16 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Neuroscience
- Psychiatry
The scientist’s investigation covers issues in Electroencephalography, Artificial intelligence, Visual interpretation, Vigilance and Neuroscience.
His Electroencephalography research is multidisciplinary, incorporating perspectives in University hospital, Pediatrics and Pattern recognition.
His Support vector machine study in the realm of Artificial intelligence connects with subjects such as General movements and Correlation.
His Vigilance research incorporates themes from Neural activity, Sleep architecture and Infant sleep.
His research is interdisciplinary, bridging the disciplines of Neonatal brain and Neuroscience.
Sampsa Vanhatalo has researched Computer vision in several fields, including Artificial neural network and Autism.
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