Depression Treatment by Medial Prefrontal Real-Time fMRI Neurofeedback

uploaded by Дмитрий Безматерных on 2021-08-19 - 30 days ago
last modified on 2021-08-19 - 30 days ago
authored by Bezmaternykh DD, Melnikov ME, Savelov AA, Petrovskii ED
13240098
We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-01/func/sub-01_ses-01_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-02/func/sub-01_ses-02_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-03/func/sub-01_ses-03_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-04/func/sub-01_ses-04_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-05/func/sub-01_ses-05_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-06/func/sub-01_ses-06_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-07/func/sub-01_ses-07_task-emnfb_run-01_bold.nii.gz

The most common set of dimensions is: 96,96,16,600 (voxels), This file has the dimensions: 96,96,16,900 (voxels).

/sub-01/ses-08/func/sub-01_ses-08_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-02/ses-01/func/sub-02_ses-01_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-02/ses-02/func/sub-02_ses-02_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

and 38 more files

OpenNeuro Accession Number: ds003770
Files: 204, Size: 6.22GB, Subjects: 6, Sessions: 8
Available Tasks: rt-fmri regulation of medial prefrontal cortex
Available Modalities: MRI

README

This dataset includes 8 sessions of medial prefrontal cortex continious rt-fmri biofeedback for six patients with mild and moderate depression. Each session consists of 2 runs. The first run contains 900 scans (TR=1 s.) with 15 blocks (60 s. duration). Each block includes 20 s. ROI down-regulation and 40 s of up-regulation. The second run contains 600 scans (TR=1 s.) with 10 blocks (60 s. duration). In odd sessions, both parts is neurofeedback, while in even sessions the second part is a transfer session, during which participants try to up- or downregulate the activity level of target area without feedback. A changeable column is used for representation of ROI activity.

Authors

  • Bezmaternykh DD
  • Melnikov ME
  • Savelov AA
  • Petrovskii ED

Dataset DOI

10.18112/openneuro.ds003770.v1.0.0

License

CC0

Acknowledgements

Mark Shtark, Kira Natarova.

How to Acknowledge

Funding

  • The study was supported by Russian Science Foundation grant № 16-15-00183.

References and Links

Ethics Approvals

How To Cite

Copy
Bezmaternykh DD and Melnikov ME and Savelov AA and Petrovskii ED (2021). Depression Treatment by Medial Prefrontal Real-Time fMRI Neurofeedback. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003770.v1.0.0
More citation info

Depression Treatment by Medial Prefrontal Real-Time fMRI Neurofeedback

uploaded by Дмитрий Безматерных on 2021-08-19 - 30 days ago
last modified on 2021-08-19 - 30 days ago
authored by Bezmaternykh DD, Melnikov ME, Savelov AA, Petrovskii ED
13240098

OpenNeuro Accession Number: ds003770
Files: 204, Size: 6.22GB, Subjects: 6, Sessions: 8
Available Tasks: rt-fmri regulation of medial prefrontal cortex
Available Modalities: MRI

README

This dataset includes 8 sessions of medial prefrontal cortex continious rt-fmri biofeedback for six patients with mild and moderate depression. Each session consists of 2 runs. The first run contains 900 scans (TR=1 s.) with 15 blocks (60 s. duration). Each block includes 20 s. ROI down-regulation and 40 s of up-regulation. The second run contains 600 scans (TR=1 s.) with 10 blocks (60 s. duration). In odd sessions, both parts is neurofeedback, while in even sessions the second part is a transfer session, during which participants try to up- or downregulate the activity level of target area without feedback. A changeable column is used for representation of ROI activity.

Authors

  • Bezmaternykh DD
  • Melnikov ME
  • Savelov AA
  • Petrovskii ED

Dataset DOI

10.18112/openneuro.ds003770.v1.0.0

License

CC0

Acknowledgements

Mark Shtark, Kira Natarova.

How to Acknowledge

Funding

  • The study was supported by Russian Science Foundation grant № 16-15-00183.

References and Links

Ethics Approvals

How To Cite

Copy
Bezmaternykh DD and Melnikov ME and Savelov AA and Petrovskii ED (2021). Depression Treatment by Medial Prefrontal Real-Time fMRI Neurofeedback. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003770.v1.0.0
More citation info

Dataset File Tree

Git Hash: 521f6cc 

BIDS Validation

We found 1 Warning in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-01/ses-01/func/sub-01_ses-01_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-02/func/sub-01_ses-02_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-03/func/sub-01_ses-03_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-04/func/sub-01_ses-04_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-05/func/sub-01_ses-05_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-06/func/sub-01_ses-06_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-01/ses-07/func/sub-01_ses-07_task-emnfb_run-01_bold.nii.gz

The most common set of dimensions is: 96,96,16,600 (voxels), This file has the dimensions: 96,96,16,900 (voxels).

/sub-01/ses-08/func/sub-01_ses-08_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-02/ses-01/func/sub-02_ses-01_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

/sub-02/ses-02/func/sub-02_ses-02_task-emnfb_run-02_bold.nii.gz

The most common set of dimensions is: 96,96,16,900 (voxels), This file has the dimensions: 96,96,16,600 (voxels).

and 38 more files

Dataset File Tree

Git Hash: 521f6cc 

Comments

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