Neural correlates of repetitive negative thinking: Dimensional evidence across the psychopathological continuum Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/fpsyt.2022.915316
Repetitive negative thinking (RNT) captures an important transdiagnostic factor that predisposes to a maladaptive stress response and contributes to diverse psychiatric disorders. Although RNT can best be seen as a continuous symptom dimension that cuts across boundaries from health to various psychiatric disorders, the neural mechanisms underlying RNT have almost exclusively been studied in health and stress-related disorders, such as depression and anxiety disorders. We set out to study RNT from a large-scale brain network perspective in a diverse population consisting of healthy subjects and patients with a broader range of psychiatric disorders. We studied 46 healthy subjects along with 153 patients with a stress-related and/or neurodevelopmental disorder. We focused on three networks, that are associated with RNT and diverse psychiatric disorders: the salience network, default mode network (DMN) and frontoparietal network (FPN). We investigated the relationship of RNT with both network connectivity strength at rest and with the stress-induced changes in connectivity. Across our whole sample, the level of RNT was positively associated with the connectivity strength of the left FPN at rest, but negatively associated with stress-induced changes in DMN connectivity. These findings may reflect an upregulation of the FPN in an attempt to divert attention away from RNT, while the DMN result may reflect a less flexible adaptation to stress, related to RNT. Additionally, we discuss how our findings fit into the non-invasive neurostimulation literature. Taken together, our results provide initial insight in the neural mechanisms of RNT across the spectrum from health to diverse psychiatric disorders.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpsyt.2022.915316
- OA Status
- gold
- Cited By
- 11
- References
- 74
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4286685240Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fpsyt.2022.915316Digital Object Identifier
- Title
-
Neural correlates of repetitive negative thinking: Dimensional evidence across the psychopathological continuumWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-22Full publication date if available
- Authors
-
Jasper van Oort, Indira Tendolkar, Rose M. Collard, Dirk E. M. Geurts, Janna N. Vrijsen, Fleur Duyser, Nils Kohn, Guillén Fernández, Aart H. Schene, Philip van EijndhovenList of authors in order
- Landing page
-
https://doi.org/10.3389/fpsyt.2022.915316Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.3389/fpsyt.2022.915316Direct OA link when available
- Concepts
-
Default mode network, Psychopathology, Psychology, Anxiety, Clinical psychology, Psychiatry, Salience (neuroscience), Population, Medicine, Neuroscience, Cognition, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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11Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 3, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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74Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and/or | 105 |
| abstract_inverted_index.divert | 196 |
| abstract_inverted_index.factor | 8 |
| abstract_inverted_index.health | 38, 54, 245 |
| abstract_inverted_index.neural | 44, 237 |
| abstract_inverted_index.result | 204 |
| abstract_inverted_index.stress | 14 |
| abstract_inverted_index.anxiety | 62 |
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| abstract_inverted_index.broader | 88 |
| abstract_inverted_index.changes | 150, 179 |
| abstract_inverted_index.default | 125 |
| abstract_inverted_index.discuss | 218 |
| abstract_inverted_index.diverse | 19, 78, 119, 247 |
| abstract_inverted_index.focused | 109 |
| abstract_inverted_index.healthy | 82, 96 |
| abstract_inverted_index.initial | 233 |
| abstract_inverted_index.insight | 234 |
| abstract_inverted_index.network | 74, 127, 131, 141 |
| abstract_inverted_index.provide | 232 |
| abstract_inverted_index.reflect | 186, 206 |
| abstract_inverted_index.related | 213 |
| abstract_inverted_index.results | 231 |
| abstract_inverted_index.sample, | 156 |
| abstract_inverted_index.stress, | 212 |
| abstract_inverted_index.studied | 52, 94 |
| abstract_inverted_index.symptom | 31 |
| abstract_inverted_index.various | 40 |
| abstract_inverted_index.Although | 22 |
| abstract_inverted_index.captures | 4 |
| abstract_inverted_index.findings | 184, 221 |
| abstract_inverted_index.flexible | 209 |
| abstract_inverted_index.negative | 1 |
| abstract_inverted_index.network, | 124 |
| abstract_inverted_index.patients | 85, 101 |
| abstract_inverted_index.response | 15 |
| abstract_inverted_index.salience | 123 |
| abstract_inverted_index.spectrum | 243 |
| abstract_inverted_index.strength | 143, 167 |
| abstract_inverted_index.subjects | 83, 97 |
| abstract_inverted_index.thinking | 2 |
| abstract_inverted_index.attention | 197 |
| abstract_inverted_index.dimension | 32 |
| abstract_inverted_index.disorder. | 107 |
| abstract_inverted_index.important | 6 |
| abstract_inverted_index.networks, | 112 |
| abstract_inverted_index.together, | 229 |
| abstract_inverted_index.Repetitive | 0 |
| abstract_inverted_index.adaptation | 210 |
| abstract_inverted_index.associated | 115, 163, 176 |
| abstract_inverted_index.boundaries | 36 |
| abstract_inverted_index.consisting | 80 |
| abstract_inverted_index.continuous | 30 |
| abstract_inverted_index.depression | 60 |
| abstract_inverted_index.disorders, | 42, 57 |
| abstract_inverted_index.disorders. | 21, 63, 92, 249 |
| abstract_inverted_index.disorders: | 121 |
| abstract_inverted_index.mechanisms | 45, 238 |
| abstract_inverted_index.negatively | 175 |
| abstract_inverted_index.population | 79 |
| abstract_inverted_index.positively | 162 |
| abstract_inverted_index.underlying | 46 |
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| abstract_inverted_index.exclusively | 50 |
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| abstract_inverted_index.literature. | 227 |
| abstract_inverted_index.maladaptive | 13 |
| abstract_inverted_index.perspective | 75 |
| abstract_inverted_index.predisposes | 10 |
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| abstract_inverted_index.connectivity | 142, 166 |
| abstract_inverted_index.investigated | 134 |
| abstract_inverted_index.non-invasive | 225 |
| abstract_inverted_index.relationship | 136 |
| abstract_inverted_index.upregulation | 188 |
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| abstract_inverted_index.connectivity. | 152, 182 |
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| abstract_inverted_index.neurodevelopmental | 106 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5046603704 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I145872427, https://openalex.org/I2802934949 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5299999713897705 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.87052656 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |