| Title |
A closer look at the relationship between the default network, mind wandering, negative mood, and depression
|
|---|---|
| Published in |
Cognitive, Affective, & Behavioral Neuroscience, April 2017
|
| DOI | 10.3758/s13415-017-0506-z |
| Pubmed ID | |
| Authors |
Shaghayegh Konjedi, Reza Maleeh |
| Abstract |
By a systematic analysis of the current literature on the neural correlates of mind wandering, that is, the default network (DN), and by shedding light on some determinative factors and conditions which affect the relationship between mind wandering and negative mood, we show that (1) mind wandering per se does not necessarily have a positive correlation with negative mood and, on the higher levels, depression. We propose that negative mood as a consequence of mind wandering generally depends on two determinative conditions, that is, whether mind wandering is with or without meta-awareness and whether mind wandering occurs during high or low vigilance states; (2) increased activity of the DN is not necessarily followed by an increase in unhappiness and depression. We argue that while in some kinds of meditation practices we witness an increase in the structure and in the activity of the DN, no increase in unhappiness and depression is observed. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 92 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 15% |
| Student > Bachelor | 14 | 15% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Doctoral Student | 10 | 11% |
| Researcher | 7 | 8% |
| Other | 11 | 12% |
| Unknown | 24 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 38 | 41% |
| Neuroscience | 16 | 17% |
| Medicine and Dentistry | 7 | 8% |
| Unspecified | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 23 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 39. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 June 2023.
All research outputs
#964,287
of 24,003,070 outputs
Outputs from Cognitive, Affective, & Behavioral Neuroscience
#37
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Outputs of similar age
#20,612
of 312,952 outputs
Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#1
of 11 outputs
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So far Altmetric has tracked 974 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.