| Title: | Loneliness is linked to specific subregional alterations in hippocampus-default network covariation |
| Journal: | Journal of Neurophysiology |
| Published: | 24 Nov 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/34817294/ |
| DOI: | https://doi.org/10.1152/jn.00339.2021 |
| Citations: | 11 (6 in last 2 years) as of 8 Aug 2024 |
Publication 10737
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
Social interaction complexity makes humans unique. But in times of social deprivation, this strength risks exposure of important vulnerabilities. Human social neuroscience studies have placed a premium on the default network (DN). In contrast, hippocampus (HC) subfields have been intensely studied in rodents and monkeys. To bridge these two literatures, we here quantified how DN subregions systematically covary with specific HC subfields in the context of subjective social isolation (i.e., loneliness). By codecomposition using structural brain scans of ∼40,000 UK Biobank participants, loneliness was specially linked to midline subregions in the uncovered DN patterns. These association cortex patterns coincided with concomitant HC patterns implicating especially CA1 and molecular layer. These patterns also showed a strong affiliation with the fornix white matter tract and the nucleus accumbens. In addition, separable signatures of structural HC-DN covariation had distinct associations with the genetic predisposition for loneliness at the population level.NEW & NOTEWORTHY The hippocampus and default network have been implicated in rich social interaction. Yet, these allocortical and neocortical neural systems have been interrogated in mostly separate literatures. Here, we conjointly investigate the hippocampus and default network at a subregion level, by capitalizing structural brain scans from ∼40,000 participants. We thus reveal unique insights on the nature of the "lonely brain" by estimating the regimes of covariation between the hippocampus and default network at population scale.</p>
3 Authors
- Chris Zajner
- R Nathan Spreng
- Danilo Bzdok
1 Application
| Application ID | Title |
|---|---|
| 25163 | Structural genetic contributions brain function and behavior |
Enabling scientific discoveries that improve human health