Author
Listed:
- R. Nathan Spreng
(McGill University
McGill University
Douglas Mental Health University Institute
Montreal Neurological Institute (MNI), McGill University)
- Emile Dimas
(McGill University)
- Laetitia Mwilambwe-Tshilobo
(McGill University)
- Alain Dagher
(Montreal Neurological Institute (MNI), McGill University)
- Philipp Koellinger
(Vrije Universiteit Amsterdam)
- Gideon Nave
(University of Pennsylvania)
- Anthony Ong
(Cornell University
Division of Geriatrics and Palliative Medicine, Weill Cornell Medical College)
- Julius M. Kernbach
(RWTH Aachen University Hospital)
- Thomas V. Wiecki
(Quantopian Inc.)
- Tian Ge
(Massachusetts General Hospital
Harvard Medical School
Massachusetts General Hospital
Broad Institute of MIT and Harvard)
- Yue Li
(McGill University)
- Avram J. Holmes
(Yale University)
- B. T. Thomas Yeo
(National University of Singapore)
- Gary R. Turner
(York University)
- Robin I. M. Dunbar
(University of Oxford)
- Danilo Bzdok
(Montreal Neurological Institute (MNI), McGill University
McGill University
McGill University
Mila - Quebec Artificial Intelligence Institute)
Abstract
Humans survive and thrive through social exchange. Yet, social dependency also comes at a cost. Perceived social isolation, or loneliness, affects physical and mental health, cognitive performance, overall life expectancy, and increases vulnerability to Alzheimer’s disease-related dementias. Despite severe consequences on behavior and health, the neural basis of loneliness remains elusive. Using the UK Biobank population imaging-genetics cohort (n = ~40,000, aged 40–69 years when recruited, mean age = 54.9), we test for signatures of loneliness in grey matter morphology, intrinsic functional coupling, and fiber tract microstructure. The loneliness-linked neurobiological profiles converge on a collection of brain regions known as the ‘default network’. This higher associative network shows more consistent loneliness associations in grey matter volume than other cortical brain networks. Lonely individuals display stronger functional communication in the default network, and greater microstructural integrity of its fornix pathway. The findings fit with the possibility that the up-regulation of these neural circuits supports mentalizing, reminiscence and imagination to fill the social void.
Suggested Citation
R. Nathan Spreng & Emile Dimas & Laetitia Mwilambwe-Tshilobo & Alain Dagher & Philipp Koellinger & Gideon Nave & Anthony Ong & Julius M. Kernbach & Thomas V. Wiecki & Tian Ge & Yue Li & Avram J. Holme, 2020.
"The default network of the human brain is associated with perceived social isolation,"
Nature Communications, Nature, vol. 11(1), pages 1-11, December.
Handle:
RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-20039-w
DOI: 10.1038/s41467-020-20039-w
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