From 4382299fd672f512dff3e571f78e3a3259f33579 Mon Sep 17 00:00:00 2001 From: Dylan Nielson Date: Tue, 14 Nov 2023 12:41:23 -0500 Subject: [PATCH 1/3] add mantas2023.md --- source/_posts/mantas2023.md | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 source/_posts/mantas2023.md diff --git a/source/_posts/mantas2023.md b/source/_posts/mantas2023.md new file mode 100644 index 00000000..ef6f723e --- /dev/null +++ b/source/_posts/mantas2023.md @@ -0,0 +1,20 @@ +--- +title: Mantas et al. (2023) +subtitle: 'An experimental approach to training mood for resilience' +date: 2023/09/07 +authors: +- Mantas, Vasileios +- Kotoula, Vasileia +- Zheng, Charles +- Nielson, Dylan M. +- Stringaris, Argyris +journal: PLoS One +paper_url: https://doi.org/10.1371/journal.pone.0290881 +data_url: https://osf.io/ujyxa/ +tags: +- mood +- resilience +sample_size: 1287 +--- + +According to influential theories about mood, exposure to environments characterized by specific patterns of punishments and rewards could shape mood response to future stimuli. This raises the intriguing possibility that mood could be trained by exposure to controlled environments. The aim of the present study is to investigate experimental settings that increase resilience of mood to negative stimuli. For this study, a new task was developed where participants register their mood when rewards are added or subtracted from their score. The study was conducted online, using Amazon MTurk, and a total of N = 1287 participants were recruited for all three sets of experiments. In an exploratory experiment, sixteen different experimental task environments which are characterized by different mood-reward relationships, were tested. We identified six task environments that produce the greatest improvements in mood resilience to negative stimuli, as measured by decreased sensitivity to loss. In a next step, we isolated the two most effective task environments, from the previous set of experiments, and we replicated our results and tested mood’s resilience to negative stimuli over time, in a novel sample. We found that the effects of the task environments on mood are detectable and remain significant after multiple task rounds (approximately two minutes) for an environment where good mood yielded maximum reward. These findings are a first step in our effort to better understand the mechanisms behind mood training and its potential clinical utility. \ No newline at end of file From a2ca09434aeeb0815f0b156912714e1b59d9aa5a Mon Sep 17 00:00:00 2001 From: Dylan Nielson Date: Tue, 14 Nov 2023 12:59:48 -0500 Subject: [PATCH 2/3] put more details in contribute --- source/contribute/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/contribute/index.md b/source/contribute/index.md index 7e839594..b6d135ce 100644 --- a/source/contribute/index.md +++ b/source/contribute/index.md @@ -12,7 +12,7 @@ There are three main ways you can submit a dataset for entry to OpenData, which Have a dataset to submit? Fill out this form: https://forms.gle/N87Dqhs73vbfoPec8

2. Submit a pull request

-To directly add a dataset yourself, you can open a pull request on Github. First you should fork the OpenData library via GitHub and make modifications on your fork. The OpenData database is written in markdown using a standardized, easy-to-copy template. Once your modification is complete, submit a pull request to merge your changes into the docs branch of OpenData. Pull requests will be reviewed by the maintainers. +To directly add a dataset yourself, you can open a pull request on Github. First you should fork the OpenData library via GitHub and make modifications on your fork. The OpenData database is written in markdown using a standardized, easy-to-copy [template](../../templates/post.md). To add a paper, add a markdown file named with the format `{firs_authors_last_name.lower()}{year}.md` to the `source/contribute` directory. Once your modification is complete, submit a pull request to merge your changes into the docs branch of OpenData. Pull requests will be reviewed by the maintainers.

3. Open an issue

To advertise a dataset for entry into the database, you can open a new issue via GitHub. Please provide a link to a repository for the data and, if available, a link to a corresponding manuscript describing the data. From 243cb0e5b50284ee69a41e95237eb10d00e602fa Mon Sep 17 00:00:00 2001 From: Sam Zorowitz Date: Tue, 14 Nov 2023 15:55:46 -0500 Subject: [PATCH 3/3] update link to template converting from markdown syntax to html syntax to cohere with hexo formatting --- source/contribute/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/source/contribute/index.md b/source/contribute/index.md index b6d135ce..508236f1 100644 --- a/source/contribute/index.md +++ b/source/contribute/index.md @@ -12,7 +12,7 @@ There are three main ways you can submit a dataset for entry to OpenData, which Have a dataset to submit? Fill out this form: https://forms.gle/N87Dqhs73vbfoPec8

2. Submit a pull request

-To directly add a dataset yourself, you can open a pull request on Github. First you should fork the OpenData library via GitHub and make modifications on your fork. The OpenData database is written in markdown using a standardized, easy-to-copy [template](../../templates/post.md). To add a paper, add a markdown file named with the format `{firs_authors_last_name.lower()}{year}.md` to the `source/contribute` directory. Once your modification is complete, submit a pull request to merge your changes into the docs branch of OpenData. Pull requests will be reviewed by the maintainers. +To directly add a dataset yourself, you can open a pull request on Github. First you should fork the OpenData library via GitHub and make modifications on your fork. The OpenData database is written in markdown using a standardized, easy-to-copy template. To add a paper, add a markdown file named with the format `{firs_authors_last_name.lower()}{year}.md` to the `source/contribute` directory. Once your modification is complete, submit a pull request to merge your changes into the docs branch of OpenData. Pull requests will be reviewed by the maintainers.

3. Open an issue

To advertise a dataset for entry into the database, you can open a new issue via GitHub. Please provide a link to a repository for the data and, if available, a link to a corresponding manuscript describing the data.