Mood Disorders Laboratory Dataverse

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11 to 20 of 58 Results

Analysis code for manuscript and supplemental materials Jul 24, 2023 - SRET and depression EMA Beevers, Christopher, 2023, "Analysis code for manuscript and supplemental materials", https://doi.org/10.18738/T8/OJAZFQ, Texas Data Repository, V3 Analysis code used in manuscript: Self-referent encoding and depression symptoms: An intensive sampling approach by Rachel L. Weisenburger, Justin Dainer-Best, Mackenzie Zisser, Mary E. McNamara, Christopher G. Beevers
SRET and depression EMA(University of Texas at Austin) Jul 20, 2023 Dataverse for a research project examining relations between self-referent negative thinking and depression symptoms measured repeatedly over days and weeks.
Supplemental Analyses: Fixation Count Metrics May 11, 2023 - Factor structure of attention bias task McNamara, Molly, 2023, "Supplemental Analyses: Fixation Count Metrics", https://doi.org/10.18738/T8/RHRMQ7, Texas Data Repository, V1 Supplemental analyses examining metrics using fixations counts.
Supplemental Analyses: Age Effects May 11, 2023 - Factor structure of attention bias task McNamara, Molly, 2023, "Supplemental Analyses: Age Effects", https://doi.org/10.18738/T8/ZTBBMR, Texas Data Repository, V1 Testing whether the exclusion of 4 older individuals (ages 23-28) impacts the results.
Supplemental Analyses: Bifactor Power Simulations May 11, 2023 - Factor structure of attention bias task Beevers, Christopher, 2023, "Supplemental Analyses: Bifactor Power Simulations", https://doi.org/10.18738/T8/NHX2VA, Texas Data Repository, V1 Power simulations for bifactor models
Analysis Code May 11, 2023 - Factor structure of attention bias task McNamara, Molly, 2022, "Analysis Code", https://doi.org/10.18738/T8/JCUWXJ, Texas Data Repository, V2 Analysis code for Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking based Attention Bias Task
Supplemental materials for "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking" Apr 5, 2023 - Attention Allocation Mousetracking McNamara, Molly, 2023, "Supplemental materials for "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking"", https://doi.org/10.18738/T8/TZADHC, Texas Data Repository, V1 R-Markdown and knit pdf for analyses in "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking." Both documents include supplementary analyses.
Attention Allocation Mousetracking(University of Texas at Austin) Apr 5, 2023
Altered electroencephalography resting state network coherence in remitted MDD Feb 17, 2023 Ray, Kimberly, 2023, "Altered electroencephalography resting state network coherence in remitted MDD", https://doi.org/10.18738/T8/ASIX6C, Texas Data Repository, V1, UNF:6:zRxEwDn8scOZI4deD7dOcw== [fileUNF] The main purpose of this work was to approach the EEG data from a framework of examining brain network differences associated with MDD. This was accomplished by using source modeling to localize EEG activity to standard network nodes analogous to those examined in resting state f...
MDL Images Dataverse(University of Texas at Austin) Oct 18, 2022 Copyrighted images created by researchers affiliated with the Mood Disorders Laboratory at the University of Texas at Austin.

Analysis code for manuscript and supplemental materials

Jul 24, 2023 - SRET and depression EMA

Beevers, Christopher, 2023, "Analysis code for manuscript and supplemental materials", https://doi.org/10.18738/T8/OJAZFQ, Texas Data Repository, V3

Analysis code used in manuscript: Self-referent encoding and depression symptoms: An intensive sampling approach by Rachel L. Weisenburger, Justin Dainer-Best, Mackenzie Zisser, Mary E. McNamara, Christopher G. Beevers

SRET and depression EMA(University of Texas at Austin)

Jul 20, 2023

Dataverse for a research project examining relations between self-referent negative thinking and depression symptoms measured repeatedly over days and weeks.

Supplemental Analyses: Fixation Count Metrics

May 11, 2023 - Factor structure of attention bias task

McNamara, Molly, 2023, "Supplemental Analyses: Fixation Count Metrics", https://doi.org/10.18738/T8/RHRMQ7, Texas Data Repository, V1

Supplemental analyses examining metrics using fixations counts.

Supplemental Analyses: Age Effects

May 11, 2023 - Factor structure of attention bias task

McNamara, Molly, 2023, "Supplemental Analyses: Age Effects", https://doi.org/10.18738/T8/ZTBBMR, Texas Data Repository, V1

Testing whether the exclusion of 4 older individuals (ages 23-28) impacts the results.

Supplemental Analyses: Bifactor Power Simulations

May 11, 2023 - Factor structure of attention bias task

Beevers, Christopher, 2023, "Supplemental Analyses: Bifactor Power Simulations", https://doi.org/10.18738/T8/NHX2VA, Texas Data Repository, V1

Power simulations for bifactor models

Analysis Code

May 11, 2023 - Factor structure of attention bias task

McNamara, Molly, 2022, "Analysis Code", https://doi.org/10.18738/T8/JCUWXJ, Texas Data Repository, V2

Analysis code for Beyond Face Value: Assessing the Factor Structure of an Eye-Tracking based Attention Bias Task

Supplemental materials for "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking"

Apr 5, 2023 - Attention Allocation Mousetracking

McNamara, Molly, 2023, "Supplemental materials for "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking"", https://doi.org/10.18738/T8/TZADHC, Texas Data Repository, V1

R-Markdown and knit pdf for analyses in "Attention Allocation for Dysphoric Information in Adults with Depression Symptoms Using Eye-tracking and Mouse-tracking." Both documents include supplementary analyses.

Attention Allocation Mousetracking(University of Texas at Austin)

Apr 5, 2023

Altered electroencephalography resting state network coherence in remitted MDD

Feb 17, 2023

Ray, Kimberly, 2023, "Altered electroencephalography resting state network coherence in remitted MDD", https://doi.org/10.18738/T8/ASIX6C, Texas Data Repository, V1, UNF:6:zRxEwDn8scOZI4deD7dOcw== [fileUNF]

The main purpose of this work was to approach the EEG data from a framework of examining brain network differences associated with MDD. This was accomplished by using source modeling to localize EEG activity to standard network nodes analogous to those examined in resting state f...

MDL Images Dataverse(University of Texas at Austin)

Oct 18, 2022

Copyrighted images created by researchers affiliated with the Mood Disorders Laboratory at the University of Texas at Austin.

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