Neurocomputational mechanisms of maladaptive behaviors in loneliness

'Loneliness' refers to the perceived social isolation triggered by unsatisfying relationships. Most research and interventions have framed it as an individual problem rather than a broader social issue rooted in the (infra)structures of our societies. Here, we synthesize the neurocomputational evidence on the cognitive processes underpinning loneliness and the psychological and behavioral effects of the social environment and, in particular, community identification on feelings of loneliness. We propose that community-based interventions might effectively tackle loneliness by creating the preconditions that can prevent the emergence and reinforcement of the cognitive biases that foster maladaptive behavioral and reasoning patterns in lonely individuals. Finally, we discuss how future work can better design and tailor social interventions to reduce loneliness and improve mental health in general.

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Publication Details

Journal
Trends in Cognitive Sciences
Published
2025-08-18
DOI
https://doi.org/10.1016/j.tics.2025.07.007
Citations
1
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
2.12

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article

Neurocomputational mechanisms of maladaptive behaviors in loneliness

Ayahito Ito, Gabriele Bellucci, Anne‐Kathrin Fett, Hirotaka Imada
1 citations
Trends in Cognitive Sciences
Mental Health Research Topics
2.12
article

Neurocomputational mechanisms of maladaptive behaviors in loneliness

Ayahito Ito, Gabriele Bellucci, Anne‐Kathrin Fett, Hirotaka Imada
article en
1 citations

Abstract

'Loneliness' refers to the perceived social isolation triggered by unsatisfying relationships. Most research and interventions have framed it as an individual problem rather than a broader social issue rooted in the (infra)structures of our societies. Here, we synthesize the neurocomputational evidence on the cognitive processes underpinning loneliness and the psychological and behavioral effects of the social environment and, in particular, community identification on feelings of loneliness. We propose that community-based interventions might effectively tackle loneliness by creating the preconditions that can prevent the emergence and reinforcement of the cognitive biases that foster maladaptive behavioral and reasoning patterns in lonely individuals. Finally, we discuss how future work can better design and tailor social interventions to reduce loneliness and improve mental health in general.

Trends in Cognitive SciencesVol. 30(3)
St George's, University of London (GB), Royal Holloway University of London (GB), Tohoku University (JP)
Research Institute of Science and Technology for Society
Reduced inequalities
Openalex Percentile: Top 12%
Mental Health Research Topics
2.12
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Neurocomputational mechanisms of maladaptive behaviors in loneliness — Ayahito Ito, Gabriele Bellucci, et al. · Trends in Cognitive Sciences (2025) | TGRS Research Map | TGRS