ArticleSocial cognitive and affective neuroscience2019
Connectome-based individualized prediction of loneliness.
Article in Social cognitive and affective neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.
- Neurobiology of loneliness: a systematic review.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021Pooled it
- Lonelier people feel less empathic despite intact neural empathy responses after meditation training.Social cognitive and affective neuroscience · 2026Trial
- Brain activity and functional connectivity patterns associated with loneliness: A resting-state fMRI study.Cognitive, affective & behavioral neuroscience · 2026Article
- Lonely individuals have a more negative perception of their bodies: The mediating role of self-cognition and social perception brain network connectivity.Cognitive, affective & behavioral neuroscience · 2026Article
- Social Disconnection in the Brain: Loneliness and Age across Networks using Graph Theory.bioRxiv : the preprint server for biology · 2026Article
- Social disconnection in the brain: loneliness and age across networks using graph theory.Oxford open neuroscience · 2026Article
- Association between loneliness and hippocampal responses to dynamic social stimuli in psychotic disorders.Psychological medicine · 2025Article
- Mapping trait justice sensitivity in the Brain: Whole-brain resting-state functional connectivity as a predictor of other-oriented not self-oriented justice sensitivity.Cognitive, affective & behavioral neuroscience · 2025Article
- The dynamic relationship of brain-derived neurotrophic factor and oxytocin: Introducing the concept of neurosocial plasticity.Neuroprotection (Chichester, England) · 2025Review
- Topic: Evaluation and Treatment of Social Isolation and Loneliness: Evidence-based Recommendations for Stroke and Neurological Rehabilitation.Current physical medicine and rehabilitation reports · 2025Article
- The neuroexistentialism of social connectedness and loneliness.Frontiers in behavioral neuroscience · 2025Article
- Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Loneliness and brain rhythmic activity in resting state: an exploratory report.Social cognitive and affective neuroscience · 2024Article
- Predicting creative behavior using resting-state electroencephalography.Communications biology · 2024Article
- Why loneliness is bad for your health.Nature · 2024Article
- Social Isolation, Brain Food Cue Processing, Eating Behaviors, and Mental Health Symptoms.JAMA network open · 2024Article
- Away from the herd: loneliness as a dysfunction of social alignment.Social cognitive and affective neuroscience · 2024Article
- Connectome-based predictive modeling of Internet addiction symptomatology.Social cognitive and affective neuroscience · 2024Article
- Individual differences in the neural architecture in semantic processing.Scientific reports · 2024Article
- Shared and distinct structural brain networks related to childhood maltreatment and social support: connectome-based predictive modeling.Molecular psychiatry · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness at the individual level. Here, we applied a machine-learning approach to decode loneliness from whole-brain resting-state functional connectivity (RSFC). The relationship between whole-brain RSFC and loneliness was examined in a linear predictive model. The results revealed that individual loneliness could be predicted by within- and between-network connectivity of prefrontal, limbic and temporal systems, which are involved in cognitive control, emotional processing and social perceptions and communications, respectively. Key nodes that contributed to the prediction model comprised regions previously implicated in loneliness, including the dorsolateral prefrontal cortex, lateral orbital frontal cortex, ventromedial prefrontal cortex, caudate, amygdala and temporal regions. Our findings also demonstrated that both loneliness and associated neural substrates are modulated by levels of neuroticism and extraversion. The current data-driven approach provides the first evidence on the predictive brain features of loneliness based on organizations of intrinsic brain networks. Our work represents initial efforts in the direction of making individualized prediction of loneliness that could be useful for diagnosis, prognosis and treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.