Optimizing learning - synchrony of the brain and body as a tool?


Nokia, Miriam; Xu, Weiyong. (2024). Optimizing learning - synchrony of the brain and body as a tool?. University of Jyväskylä. https://doi.org/10.17011/jyx/dataset/98410.


JYU authors
  • Contact person (yes/no)Yes
  • Contact person (yes/no)No

All authorsNokia, Miriam; Xu, Weiyong

FundersResearch Council of Finland

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Availability and identifiers

AvailabilityContact owner

Publication year2024

URN identifier in original repositoryhttp://urn.fi/URN:NBN:fi:jyu-202411147253

DOI identifier in original repositoryhttps://doi.org/10.17011/jyx/dataset/98410

URN identifier in JYXhttp://urn.fi/URN:NBN:fi:jyu-202411147253

DOI identifier in JYXhttps://doi.org/10.17011/jyx/dataset/98410


Description of the dataset

DescriptionThis dataset consists of studies conducted in the project funded by Academy of Finland in 2019-2023

Description of data collected:
Studies in humans:
• Waselius et al. (2024): Trace eyeblink conditioning using a tone as the conditioned stimulus and an airpuff towards the eye as the unconditioned stimulus was conducted in healthy young (n = 59, aged 20-30 years) adults. Participants were watching a silent nature film throughout the experiment while we were recording EEG (128 chs), ECG, respiration (belt) and EMG from the eye that was being stimulated with the airpuff. All data was stored at 1 kHz using NeurOne (Bittium Biosignals Ltd., Finland). Questionnaire data regarding memory for the film and the presented stimuli was digitized into SPSS.
• Santhana Gopalan et al. (2024): Trace eyeblink conditioning using a tone as the conditioned stimulus and an airpuff towards the eye as the unconditioned stimulus was conducted in healthy elderly (70+ years) adults (complete data from 41 participants). Participants were watching a silent nature film throughout the experiment while we were recording EEG (128 chs), ECG, respiration (belt) and EMG from the eye that was being stimulated with the airpuff. All data was stored at 1 kHz using NeurOne (Bittium Biosignals Ltd., Finland). Questionnaire data regarding memory for the film and the presented stimuli was digitized into SPSS. We also performed CERAD on all participants and this data was digitized into SPSS.
• Xu et al. (2024): Healthy young adults (n = 32, age 20-35 years) learned to associate names with faces (40 pairs, training + testing repeated 6 times) while MEG was recorded along with EOG, ECG and breathing (belt). Accuracy and response speed as well as memory confidence rating on a 4-digit scale was also stored. All data was recorded with a 306-channel Elekta Neuromag TRIUX system (MEGIN OY, Helsinki, Finland).

Studies in rodents:
• Mäkinen et al. (2023) and Mäkinen et al. (2024): Data comes partially from the same animals (see publications for exact n per experiment and group). Male and female adult (~1.5 years) rats from lines selectively bred for high and low capacity for aerobic running at The University of Toledo, Ohio, USA and then shipped to Jyväskylä were used. For one experiment, the offspring of these rats (bred in Jyväskylä) were used. Standard behavioral tests (open field, social interaction and contextual fear conditioning) were conducted, and animals were filmed using a webcam. The videos are in standard format and behavioral scores (human scorer) are in SPSS-format. Prepulse-inhibition was probed using MedAssociates equipment and the data was analyzed using Matlab and the output stored in SPSS-format. In Mäkinen et al. (2024) we report data from terminal recordings under urethane anesthesia. Local-field potentials were recorded with 32-ch linear probe in the hippocampus. Long-term potentiation was carried out using standard theta-burst stimulation protocol. The data was recorded at 20 kHz using MultiChannel Systems equipment and it is stored in .mcd-format and later in .mat files (Matlab).
• Nokia et al. (2023): Adult male Sprague-Dawley rats (n = 51) were used and all recordings were performed under terminal urethane anesthesia. Local-field potentials were recorded with 32-ch linear probe in the hippocampus. Breathing (piezo-sensor under the rat) and ECG were also recorded. Long-term potentiation was carried out using theta-burst stimulation timed based on cardiac and breathing cycle phase. The data was recorded at 20 kHz using MultiChannel Systems equipment and it is stored in .mcd-format and later in .mat files (Matlab).
• Lehtonen et a. (2024): Adult male C57Bl/6JRccHsd mice (n = 28) were used. A subset of the mice were injected with either PBS or AAV.CaMKII.GCaMP6s (Addgene viral prep. # 107790-AAV9) into the dorsal hippocampus targeting the dentate gyrus. Later, the same animals were implanted with a lens needed for endomicroscopy. All animals were tested in the open field (plain open field, novel-object recognition and object-location memory task) prior to operations, after injection, and after lens implantation. Animal behavior in the open field was filmed using a webcam. The videos are in standard format and behavioral scores (human scorer) are in SPSS-format.

LanguageEnglish

Free keywordsLearning; memory; hippocampus; brain activity; breathing; cardiac cycle

Keywords (YSO)learningbrainhippocampusmemory (cognition)respirationpulse

Fields of science515 Psychology

Follow-up groupsPsychology (Department of Psychology PSY) PSYSchool of Wellbeing (University of Jyväskylä JYU) JYU.WellBehaviour change, health, and well-being across the lifespan (University of Jyväskylä JYU) BC-Well

Do you deal with data concerning special categories of personal data in your research?No


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Last updated on 2024-14-11 at 09:28