Interoception during aging: The heartbeat detection task

uploaded by Ekaterina Pechenkova on 2021-08-07 - about 1 month ago
last modified on 2021-08-12 - about 1 month ago
authored by Olga R. Dobrushina, Larisa A. Dobrynina, Galina A. Arina, Maria V. Gubanova, Anastasia V. Belopasova, Evgenia S. Novikova, Anastasia D. Suslina, Elena I. Kremneva, Ekaterina V. Pechenkova, Marina V. Krotenkova
14370647
We found 2 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-09210/anat/sub-09210_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 256,256,175 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.98mm x 0.98mm x 1.01mm.

/sub-10570/anat/sub-10570_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 512,512,176 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.49mm x 0.49mm x 1.00mm.

/sub-10657/anat/sub-10657_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 512,512,176 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.49mm x 0.49mm x 1.00mm.

/participants.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: age, sex, IAcc, mislocalization, drift_emerg_30, drift_emerg_60, drift_emerg_120, drift_emerg_240, drift_fading_15, drift_fading_30, drift_fading_60, drift_fading_120, drift_fading_240, test_own_15, test_own_30, test_own_60, test_own_120, test_own_240, control_own_15, control_own_30, control_own_60, control_own_120, control_own_240 not defined, please define in: /participants.json


OpenNeuro Accession Number: ds003763
Files: 229, Size: 1.98GB, Subjects: 30, Session: 1
Available Tasks: heart
Available Modalities: MRI

README

The dataset contains fMRI data from a heartbeat detection task in 30 participants aged 40–65 years, with no history of cardiovascular events, such as stroke or myocardial infarction, and no severe white matter hyperintensities according to structural MRI (modified Fazekas score of 2 or less).

Heartbeat detection task is described in the following publications: Dobrushina, Olga R., Arina, G. A., Dobrynina, L. A., Suslina, A. D., Solodchik, P. O., Belopasova, A. V., … Krotenkova, M. V. (2020). The ability to understand emotions is associated with interoception‐related insular activation and white matter integrity during aging. Psychophysiology, 57(3), e13537. https://doi.org/10.1111/psyp.13537 Krotenkova, M. V. (2020). [The interrelation between interoception and emotional intelligence: a functional neuroimaging study]. Zh Vyssh Nerv Deiat I P Pavlova, 70(2), 206–216. https://doi.org/10.31857/s0044467720020069 (in Russian, with full description of stimuli material, which was also presented in Russian)

The file participants.tsv contains data on interoceptive accuracy (IAcc).

27 participants also undewent rubber hand illusion. The data is contained in participants.tsv: "drift_emerg_15" corresponds to the proprioceptive drift after 15 s from the onset of emergence phase, "test_own_15" and "control_own_15" correspond to the sum of test and control questions from the ownership questionary after 15 s from the onset of emergence phase. Publication with detailed task description is under review, reference will be provided later.

Authors

  • Olga R. Dobrushina
  • Larisa A. Dobrynina
  • Galina A. Arina
  • Maria V. Gubanova
  • Anastasia V. Belopasova
  • Evgenia S. Novikova
  • Anastasia D. Suslina
  • Elena I. Kremneva
  • Ekaterina V. Pechenkova
  • Marina V. Krotenkova

Dataset DOI

10.18112/openneuro.ds003763.v1.0.0

License

CC0

Acknowledgements

The authors thank the administration of Neurology Research Center for the assistance with organisation of the study.

How to Acknowledge

This dataset was provided by Olga R. Dobrushina, Larisa A. Dobrynina, Galina A. Arina, Maria V. Gubanova, Anastasia V. Belopasova, Evgenia S. Novikova, Anastasia D. Suslina, Elena I. Kremneva, Ekaterina V. Pechenkova, Marina V. Krotenkova

Funding

  • This research recieved no external funding.

References and Links

  • Here will be journal references

Ethics Approvals

How To Cite

Copy
Olga R. Dobrushina and Larisa A. Dobrynina and Galina A. Arina and Maria V. Gubanova and Anastasia V. Belopasova and Evgenia S. Novikova and Anastasia D. Suslina and Elena I. Kremneva and Ekaterina V. Pechenkova and Marina V. Krotenkova (2021). Interoception during aging: The heartbeat detection task. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003763.v1.0.0
More citation info

Interoception during aging: The heartbeat detection task

uploaded by Ekaterina Pechenkova on 2021-08-07 - about 1 month ago
last modified on 2021-08-12 - about 1 month ago
authored by Olga R. Dobrushina, Larisa A. Dobrynina, Galina A. Arina, Maria V. Gubanova, Anastasia V. Belopasova, Evgenia S. Novikova, Anastasia D. Suslina, Elena I. Kremneva, Ekaterina V. Pechenkova, Marina V. Krotenkova
14370647

OpenNeuro Accession Number: ds003763
Files: 229, Size: 1.98GB, Subjects: 30, Session: 1
Available Tasks: heart
Available Modalities: MRI

README

The dataset contains fMRI data from a heartbeat detection task in 30 participants aged 40–65 years, with no history of cardiovascular events, such as stroke or myocardial infarction, and no severe white matter hyperintensities according to structural MRI (modified Fazekas score of 2 or less).

Heartbeat detection task is described in the following publications: Dobrushina, Olga R., Arina, G. A., Dobrynina, L. A., Suslina, A. D., Solodchik, P. O., Belopasova, A. V., … Krotenkova, M. V. (2020). The ability to understand emotions is associated with interoception‐related insular activation and white matter integrity during aging. Psychophysiology, 57(3), e13537. https://doi.org/10.1111/psyp.13537 Krotenkova, M. V. (2020). [The interrelation between interoception and emotional intelligence: a functional neuroimaging study]. Zh Vyssh Nerv Deiat I P Pavlova, 70(2), 206–216. https://doi.org/10.31857/s0044467720020069 (in Russian, with full description of stimuli material, which was also presented in Russian)

The file participants.tsv contains data on interoceptive accuracy (IAcc).

27 participants also undewent rubber hand illusion. The data is contained in participants.tsv: "drift_emerg_15" corresponds to the proprioceptive drift after 15 s from the onset of emergence phase, "test_own_15" and "control_own_15" correspond to the sum of test and control questions from the ownership questionary after 15 s from the onset of emergence phase. Publication with detailed task description is under review, reference will be provided later.

Authors

  • Olga R. Dobrushina
  • Larisa A. Dobrynina
  • Galina A. Arina
  • Maria V. Gubanova
  • Anastasia V. Belopasova
  • Evgenia S. Novikova
  • Anastasia D. Suslina
  • Elena I. Kremneva
  • Ekaterina V. Pechenkova
  • Marina V. Krotenkova

Dataset DOI

10.18112/openneuro.ds003763.v1.0.0

License

CC0

Acknowledgements

The authors thank the administration of Neurology Research Center for the assistance with organisation of the study.

How to Acknowledge

This dataset was provided by Olga R. Dobrushina, Larisa A. Dobrynina, Galina A. Arina, Maria V. Gubanova, Anastasia V. Belopasova, Evgenia S. Novikova, Anastasia D. Suslina, Elena I. Kremneva, Ekaterina V. Pechenkova, Marina V. Krotenkova

Funding

  • This research recieved no external funding.

References and Links

  • Here will be journal references

Ethics Approvals

How To Cite

Copy
Olga R. Dobrushina and Larisa A. Dobrynina and Galina A. Arina and Maria V. Gubanova and Anastasia V. Belopasova and Evgenia S. Novikova and Anastasia D. Suslina and Elena I. Kremneva and Ekaterina V. Pechenkova and Marina V. Krotenkova (2021). Interoception during aging: The heartbeat detection task. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003763.v1.0.0
More citation info

Dataset File Tree

Git Hash: fac007c 

BIDS Validation

We found 2 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-09210/anat/sub-09210_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 256,256,175 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.98mm x 0.98mm x 1.01mm.

/sub-10570/anat/sub-10570_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 512,512,176 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.49mm x 0.49mm x 1.00mm.

/sub-10657/anat/sub-10657_T1w.nii.gz

The most common set of dimensions is: 256,256,176 (voxels), This file has the dimensions: 512,512,176 (voxels). The most common resolution is: 0.98mm x 0.98mm x 1.00mm, This file has the resolution: 0.49mm x 0.49mm x 1.00mm.

/participants.tsv

Tabular file contains custom columns not described in a data dictionary

Columns: age, sex, IAcc, mislocalization, drift_emerg_30, drift_emerg_60, drift_emerg_120, drift_emerg_240, drift_fading_15, drift_fading_30, drift_fading_60, drift_fading_120, drift_fading_240, test_own_15, test_own_30, test_own_60, test_own_120, test_own_240, control_own_15, control_own_30, control_own_60, control_own_120, control_own_240 not defined, please define in: /participants.json

Dataset File Tree

Git Hash: fac007c 

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