Disentangling the Role of Depression in Hypersomnia

August 2, 2023 updated by: University of Pennsylvania
Individuals who have disorders of hypersomnolence (excessive sleepiness) often report symptoms of depression. The goal of this study is to further understand of the relationship between depression and hypersomnia by examining mood-relevant domains of slow wave sleep and reward function.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

There are often challenges in the diagnosis of Idiopathic Hypersomnia (IH) in patients with comorbid psychiatric disorders, mood disorders in particular, who often report symptoms including excessive sleep duration and daytime somnolence. Further, 15-25% of patients with IH report significant depressive symptoms. When comparing these patients groups, studies have not found significant differences in depression scores, indicating the severity of depression cannot be reliably used to support diagnostic distinctions. These findings present significant challenges to the differential diagnosis of IH vs. Hypersomnia Associated with a Psychiatric Disorder (HAPD). Indeed, the diagnostic criteria of IH and HAPD overlap considerably, leaving clinicians to make the often challenging distinction of whether hypersomnia symptoms are temporally related to the course of the psychiatric disorder(s).

The difficulty in differentiating IH from HAPD has largely focused on subjective sleepiness, but some studies have utilized objective measures of sleepiness, in particular the MSLT, to compare these groups. Vgontzas and colleagues found that IH was associated with faster sleep onset on daytime nap opportunities compared to HAPD. Further, a systematic review and meta-analysis found that subjective hypersomnolence in patients with mood disorders was not associated with faster sleep latency on the MSLT compared to normative values, although there was significant heterogeneity. This discrepancy between subjective and objective hypersomnia can logically be explained by the presence of depressive symptoms. Depression is associated with cognitive distortions that lead individuals to interpret events from a more negative perspective, which leads to greater reporting of physical symptoms including pain and fatigue. An in-depth investigation of depression in patients with IH and HAPD may shed light on fundamental differences between these groups and improve diagnostic accuracy.

In understanding the relationship between depression and subjective hypersomnia it will be critical to look beyond subjective depressive symptoms because there will be de facto associations found due to the common use of self-report methods. Studies need to assess the neurobiological domains that underlie depression, both to utilize more objective methods and to understand the actual mechanisms driving these associations. A logical target in this regard would be the reward system, which is activated by any pleasurable stimuli and directs motivation to seek out these stimuli. Reward function is disrupted in individuals with depression, leading to two core features of anhedonia, i.e reduced capacity to experience pleasure and low motivation during waking hours. More specifically, patients with MDD demonstrate deficits in areas of reward function, namely reduced effort for rewards, discounting of monetary rewards, and impairments in reward learning. It also seems totoo reasonable to expect that reward dysfunction is also related to the experience of hypersomnia, although this has not been previously investigated. Interestingly, investigations have recently begun to examine the ways in which sleep disturbance may independently affect reward processes. Poor sleep at night can contribute to impaired reward function the next day.

A second depression-related system to investigate would be the sleep/wake system. Depression is known to be associated with abnormalities in sleep, in particular in slow wave sleep, the most restorative type of sleep. More specifically, the quantity of slow waves during sleep can be quantified as slow wave activity (SWA), with greater SWA associated with greater perceptions of feeling rested the next day. Depression is associated reduced SWA, which is thought the reflect deficient neuroplasticity. Patients with depression and hypersomnia have been found to exhibit reduced SWA compared to those without hypersomnia, suggesting a potential deficit in the restorative quality of sleep in these individuals. This suggests that the SWA deficiencies may be specifically related to subjective hypersomnia in depression. No studies have examined SWA dynamics in IH.

The overarching hypothesis is that greater severity of subjective, but not objective, hypersomnia in patients with IH and HAPD is related to a combination of disruption in slow wave sleep dynamics at night and deficits in reward processes. Demonstration of these effects could improve understanding of the nature of subjective vs. objective hypersomnia and lead to improve the differential diagnosis of hypersomnia disorders.

Study Type

Observational

Enrollment (Estimated)

45

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Adults with Idiopathic Hypersomnia or Hypersomnia Associated with a Psychiatry Disorder

Description

Inclusion Criteria:

  • Males and females between the age of 21 and 55
  • Meet DSM5 criteria for Idiopathic Hypersomnia or Hypersomnia Associated with a Psychiatry Disorder
  • Ability to read and speak English

Exclusion Criteria:

  • Unable or unwilling to provide informed consent
  • Untreated obstructive sleep apnea (apnea-hypopnea index /= 15 events/hr)
  • Meeting diagnostic criteria for narcolepsy
  • A clinically unstable medical condition as defined by a new diagnosis or change in medical management in the previous 2 months (e.g., pneumonia, thyroid disease, ventricular arrhythmias, cirrhosis, surgery, or recently diagnosed cancer) because these changes could impact daytime hypersomnia and confound results
  • Substance abuse/dependence, delirium, dementia, amnestic disorder, schizophrenia, and other psychotic disorders
  • Prominent current suicidal or homicidal ideation.
  • Unable to perform tests due to inability to communicate verbally, inability to read and write; less than a 5th grade reading level; visal, hearing, or cognitive impairment (e.g. previous head injury)
  • Use of medications or OTC products that might impact sleep

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Idiopathic Hypersomnia
Men and women with a current diagnosis of Idiopathic Hypersomnia
Participants will spend two nights in the Penn Sleep Center
Hypersomnia Associated with a Psychiatric Disorder
Men and women with a current diagnosis of Hypersomnia Associated with a Psychiatric Disorder
Participants will spend two nights in the Penn Sleep Center

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Depression severity
Time Frame: One time at baseline
Scores on the Hamilton Depression Inventory. Scores range from 0 to 52, with higher scores indiated more severe symptoms of depression.
One time at baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sleep slow wave activity
Time Frame: one night
EEG activity in the delta frequency range during sleep
one night

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Philip Gehrman, PhD, University of Pennsylvania

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2023

Primary Completion (Estimated)

May 30, 2025

Study Completion (Estimated)

June 30, 2025

Study Registration Dates

First Submitted

April 28, 2023

First Submitted That Met QC Criteria

April 28, 2023

First Posted (Actual)

May 9, 2023

Study Record Updates

Last Update Posted (Actual)

August 7, 2023

Last Update Submitted That Met QC Criteria

August 2, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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