Lauri Ahonen

  • Citations Per Year
Learn More
Individuals with job burnout symptoms often report having cognitive difficulties, but related electrophysiological studies are scarce. We assessed the impact of burnout on performing a visual task with varying memory loads, and on involuntary attention switch to distractor sounds using scalp recordings of event-related potentials (ERPs). Task performance(More)
It is known that periods of intense social interaction result in shared patterns in collaborators' physiological signals. However, applied quantitative research on collaboration is hindered due to scarcity of objective metrics of teamwork effectiveness. Indeed, especially in the domain of productive, ecologically-valid activity such as programming, there is(More)
The application of psychophysiological in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological signals and analysis techniques. Methods to study central nervous system (CNS) are usually expensive and laborious.(More)
Solar eclipses provide unique possibilities to investigate atmospheric processes, such as new particle formation (NPF), important to the global aerosol load and radiative balance. The temporary absence of solar radiation gives particular insight into different oxidation and clustering processes leading to NPF. This is crucial because our mechanistic(More)
Physiological changes, i.e., changes in the heart rate and its variability, respiratory patterns etc., are induced by listening to music. Both the low-level acoustic features of the sound and the perceived pleasantness of the music contribute to the type and strength of the physiological changes. Thus, for studying the effects of the pleasantness, it would(More)
In the vast majority of electrophysiological studies on cognition, participants are only measured once during a single experimental session. The dearth of studies on test-retest reliability in magnetoencephalography (MEG) within and across experimental sessions is a preventing factor for longitudinal designs, imaging genetics studies, and clinical(More)
In many data analysis tasks it is important to understand the relationships between different datasets. Several methods exist for this task but many of them are limited to two datasets and linear relationships. In this paper, we propose a new efficient algorithm, termed cocoreg, for the extraction of variation common to all datasets in a given collection of(More)
Our study focuses on mood induction with pleasant and unpleasant auditory stimuli during the break. Our test includes subjective evaluation (NASA-TLX, KSS, POMS), cognitive tests and brain responses (MEG and EEG). We aim studying the effect affective state has on work-like tasks. Hypothesis: pleasantness of auditory mood induction affects cognitive(More)
Recently, two research groups have reported that the depth and/or duration of Slow Wave Sleep (SWS) can be increased by playing short sounds with approximately 1 second intervals during or prior to SWS. These studies have used sounds with neutral or negative valence: sinusoidal I -kHz tones or short pink noise bursts. Since music therapy research shows(More)