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Insomnia is a prevalent sleep disorder characterized by difficulty falling asleep, frequent awakenings during the night, and waking up too early without being able to return to sleep. People with insomnia often experience these disruptions at least three nights a week for at least one month. Chronic insomnia, which lasts for at least three months, can lead to increased anxiety, which in turn can worsen sleep difficulties, creating a cycle of sleeplessness and stress.
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Updated: Jan 19, 2026

Insomnia
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Reduced structural connectivity in Insomnia Disorder.

Kira V Jespersen1, Angus Stevner1,2, Henrique Fernandes1,2

  • 1Department of Clinical Medicine, Center for Music in the Brain, Aarhus University & the Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark.

Journal of Sleep Research
|September 14, 2019
PubMed
Summary
This summary is machine-generated.

Adults with Insomnia Disorder exhibit altered brain connectivity, particularly reduced structural connections involving the insula and fronto-subcortical regions. This whole-brain network difference offers new insights into the neurobiology of insomnia.

Keywords:
diffusion tensor imaginginsomniainsulaneuroimagingsleepstructural connectivity

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Sleep Medicine

Background:

  • Insomnia Disorder is a prevalent sleep disorder with poorly understood neural mechanisms.
  • Previous neuroimaging studies often focused on limited brain regions, hindering a comprehensive understanding.
  • A whole-brain perspective is needed to integrate findings and elucidate the neurobiology of insomnia.

Purpose of the Study:

  • To investigate whole-brain structural connectivity differences in adults with Insomnia Disorder compared to controls.
  • To identify specific brain networks and regions associated with the neurobiological underpinnings of insomnia.
  • To provide a network-based understanding that can reconcile previous inconsistent findings.

Main Methods:

  • Employed diffusion tensor imaging and probabilistic tractography for whole-brain structural connectivity assessment.
  • Utilized a data-driven approach to analyze group differences in brain networks.
  • Applied network-based statistics to identify significant connectivity alterations between groups.

Main Results:

  • Found significant differences in whole-brain structural connectivity between individuals with Insomnia Disorder and controls (p = .014).
  • Identified reduced connectivity in a specific sub-network within the Insomnia Disorder group.
  • Highlighted fronto-subcortical connections, with the insula as a key region, showing decreased connectivity.

Conclusions:

  • Reduced structural connectivity, especially involving the left insula and fronto-subcortical pathways, represents a core neurobiological feature of Insomnia Disorder.
  • These affected brain regions are crucial for interoception, emotional processing, stress response, and sleep generation.
  • Findings support the development of neurobiology-based models and potential therapeutic targets for Insomnia Disorder.