Neurofeedback - Revision history

Jstout at 20:54, 16 April 2021

2021-04-16T20:54:38Z

← Older revision		Revision as of 16:54, 16 April 2021
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	<br><br>		<br><br>

			Group Data - ~60 subjects
	<br>		<br>
	[[File: ~~Group_Response_faces_shapes~~.png \| 500 px \| Alt text]]		[[File:Group Response faces shapes.png \| 500 px \| Alt text]]
	<br><br>		<br><br>

Jstout at 20:37, 16 April 2021

2021-04-16T20:37:41Z

← Older revision		Revision as of 16:37, 16 April 2021
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	<br>		<br>
	[[File: Amygdala_Response_Hariri.png \| 500px \| Alt text]]		[[File: Amygdala_Response_Hariri.png \| 500px \| Alt text]]
			<br><br>

			<br>
			[[File: Group_Response_faces_shapes.png \| 500 px \| Alt text]]
	<br><br>		<br><br>

Jstout: /* Progress */

2021-04-16T20:36:26Z

Progress

← Older revision		Revision as of 16:36, 16 April 2021
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	--/--/-- - Calculated pre/post hariri beamformer weights and projected the data to the freesrufer aseg.mgz amygdala volumetric sources (outputs in results/stcs)		--/--/-- - Calculated pre/post hariri beamformer weights and projected the data to the freesrufer aseg.mgz amygdala volumetric sources (outputs in results/stcs)
	04/09/21 - Calculated resting state 2second epoch data covariance and 2 second epoch emptyroom noise covariance weights and projected the hariri evoked faces data through (outputs in results/stcs_hariri_rest)		04/09/21 - Calculated resting state 2second epoch data covariance and 2 second epoch emptyroom noise covariance weights and projected the hariri evoked faces data through (outputs in results/stcs_hariri_rest)
			04/16/21 - Common filter pre/post stimulus for shapes/faces covariance. Data normalized by prestimulus average.

Jstout at 21:37, 9 April 2021

2021-04-09T21:37:28Z

← Older revision		Revision as of 17:37, 9 April 2021
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	Data/code setup in semi-"YODA" format. Code/Data/Results		Data/code setup in semi-"YODA" format. Code/Data/Results

			=Progress=
			--/--/-- - Calculated pre/post hariri beamformer weights and projected the data to the freesrufer aseg.mgz amygdala volumetric sources (outputs in results/stcs)
			04/09/21 - Calculated resting state 2second epoch data covariance and 2 second epoch emptyroom noise covariance weights and projected the hariri evoked faces data through (outputs in results/stcs_hariri_rest)

Jstout: /* Purpose */

2021-04-08T22:12:03Z

Purpose

← Older revision		Revision as of 18:12, 8 April 2021
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	=Purpose=		=Purpose=
			Create real-time feedback based on Amygdala responses. An LCMV adaptive beamformer will be used to localize the subcortical amygdala responses. The activity from the amygdala will be localized in real time and sent to the stimulus computer to deliver adaptive stimuli.
	Create real-time feedback based on Amygdala responses

			The beamformer will be trained on data known to evoke emotional responses. The subjects will participate in a hariri-hammer emotional faces task to "train" the beamformer. The beamformer weights from the hariri-hammer task will then be applied to the real-time data.

	=Data=		=Data=

Jstout: Initial

2021-04-08T21:52:59Z

Initial

New page

<br>
[[File: Amygdala_Response_Hariri.png | 500px | Alt text]]
<br><br>

=Purpose=
Create real-time feedback based on Amygdala responses

=Data=
datalad clone git@tako:/home/git/neurofeedback_proj
cd neurofeedback_proj
datalad get *

Data/code setup in semi-"YODA" format. Code/Data/Results