Electrophysiological Biomarkers of Chemotherapy-related Cognitive Impairment and Recovery (Chemobrain)

September 21, 2023 updated by: University of Nebraska

Broadly speaking, the goal of this study is to better understand the influence of chemotherapy treatment on the cognitive and neural mechanisms underlying human behavior. Extant literature lacks diversity in studied cancer populations and treatment protocols, and provides limited understanding of the cognitive abilities that are impaired by chemotherapy. To overcome these limitations, this study will employ a sophisticated battery of tests on an understudied cancer population. Eligible participants will either be patients diagnosed with hematological malignancy (HM) or demographically matched healthy control patients.

After HM diagnosis and treatment protocols have been established, patients will be inducted into the longitudinal study comprised of three visits: 1) after diagnosis but prior to chemotherapy treatment (baseline), 2) after one treatment cycle (one month post-baseline), and 3) after three treatment cycles (three months post-baseline). Patients will undergo a test battery designed to measure specific behavioral and neural mechanisms of attention; tests will either be computer-based cognitive tasks or simulated driving tests that immerse patients into virtual driving scenarios. During each test, EEG will be concurrently measured through non-invasive scalp electrophysiology recordings; EEG recordings will reveal underlying neural mechanisms affected by chemotherapy. Additionally, neuropsychological tests of vision, attention, and memory will be administered, as well as questionnaires to evaluate health, mobility, and life space. Finally, blood samples will be collected to examine levels of circulating inflammation-specific proteins typically present in cancer patients. This study will allow us to better understand the mechanisms through which chemotherapy influences cognitive performance. Results from this study will influence the administration of chemotherapy treatments so that patients can continue to receive the highest medical care while maintaining optimal cognitive abilities and quality of life.

Study Overview

Detailed Description

The broad goal of this research project is to develop a core set of biomarkers for chemotherapy-related cognitive impairment (or chemobrain). Clinical studies have documented mild cognitive impairment in chemotherapy patients most frequently within the domains of attention and memory, though impairments have been observed across a broad range of cognitive abilities. In addition, neuroimaging studies have demonstrated chemotherapy-related structural and functional changes in distributed cortical areas, including regions of the fronto-parietal attention network. While these studies suggest chemotherapy treatment negatively impacts patient health and cognitive function, it remains unclear how chemotherapy affects neural mechanisms of cognitive abilities. Current literature is limited in four major ways: (1) most research has focused on breast cancer populations, providing little insight into impact of tumor type, (2) few studies have examined the parametric effects of chemotherapy toxicity, (3) neuropsychological exams provide weak resolution of specific cognitive functions, and (4) neural factors associated with cognitive impairment are difficult to dissociate from non-neural (e.g. psychosocial) factors. To overcome these central limitations, the investigators propose a one-year longitudinal study that aims to systematically examine the influence of cancer stage and treatment toxicity on mild cognitive impairment observed in hematological malignancy (HM) patients by implementing a core battery of behavioral and neural measures of attention.

Our specific aims (SA) are to:

SA1: Quantify chemotherapy-related impairments of attention-specific processes in HM patients.

H1a: No difference in behavioral measures of attention will be observed across HM groups prior to treatment, and HM groups will perform worse than healthy controls.

H1b: Exposure to chemotherapy will predict behavioral impairments of attention, and the magnitude of impairment will be linked with treatment toxicity.

SA2: Quantify electrophysiological measures of attention-specific processes and determine the link between chemotherapy-related impairments in neural activity and cognitive ability.

H2a: No difference in electrophysiological measures of attention will be observed across HM and healthy control groups prior to treatment.

H2b: Exposure to chemotherapy will predict functional impairments in electrophysiological measures of attention, and the magnitude of impairment will be linked with treatment toxicity.

H2c: Chemotherapy-related impairment in neural measures of attention will be predicted by concurrent impairments in behavioral measures of attention (as in H1b).

SA3: Implement controlled simulations of on-road driving scenarios that probe specific attention processes to determine the impact of chemotherapy on complex real-world behavior.

H3a: No difference in driving performance will be observed across HM groups prior to treatment, and driving performance will be better in healthy controls compared to HM patients.

H3b: Exposure to chemotherapy will predict greater impairment in simulated driving performance, and the magnitude of impairment will be linked with treatment toxicity.

H3c: Impairments in behavioral (as in H1a) and neural measures (as in H2a) of attention will predict greater impairment in simulated on-road driving performance.

Our empirical approach will allow us to more rigorously study the neural mechanisms of chemotherapy-related cognitive impairment. The current proposal aims to extend previous research by longitudinally investigating an understudied cancer population whose constituents are assigned to a treatment group at diagnosis, thus providing sufficient experimental control for examining parametric effects of cancer burden and treatment toxicity on specific mechanisms of attention. Results obtained from this study will be critical to understanding risk factors associated with chemotherapy, which will allow clinicians to make informed treatment recommendations in order to reduce the likelihood of cognitive impairment and maintain the highest quality of life possible for the ever-increasing cancer survivor population.

Study Type

Observational

Enrollment (Actual)

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 Locations

    • Nebraska
      • Omaha, Nebraska, United States, 68132
        • University of Nebraska Medical Center

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

19 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

The 2008 World Health Organization (WHO) classification is used to diagnose MDS. Patients diagnosed with MDS are stratified into one of five risk categories, based on a prognostic score calculated according to the revised International Prognostics Scoring System (IPSS-R): very-low risk, low risk, intermediate risk, high risk, and very-high risk. IPSS-R scores are estimated from percent of bone marrow blasts, number and depth of cytopenias, and presence of specific cytogenetic abnormalities, collectively reflecting the total number of risk factors.

Description

Inclusion criteria:

  • HM diagnosis
  • scheduled to receive treatment based on risk classification
  • between 19 to 80 years of age-
  • normal or corrected-to-normal vision
  • matched to HM patient demographics (healthy controls)

Exclusion criteria:

  • non-HM non-cutaneous cancer diagnosis (patients with localized skin cancer may not be excluded)
  • prior radiation or chemotherapy treatment
  • HM cancer diagnosis (healthy controls)

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
HM - Chemotherapy
Study patients diagnosed with HM that are scheduled to receive chemotherapy treatment.
HM - No Chemotherapy
Study patients diagnosed with HM that are scheduled to receive non-chemotherapy treatment options.
Healthy Controls
Study participants that are demographically matched to HM study patients and meet all inclusion criteria

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change From Baseline Capture Task Performance at 1- and 3- Months
Time Frame: Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Response time - measured as the time required to respond to a target hidden among distractor items - is the primary outcome measure of the capture task. Proportional response time was calculated by subtracting mean response time in the neutral condition from response time in the capture condition, and dividing that number by the standard deviation of response time across conditions. Changes in proportional response time across study visits is reported. Positive values correspond to an increase in response time and negative values correspond to a decrease in response time.
Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Change From Baseline N2pc Amplitude at 1- and 3- Months
Time Frame: Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Electrophysiological component that measures allocation of attentional resources
Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Change From Baseline Filter Task Performance at 1- and 3- Months
Time Frame: Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Response accuracy - measured as the proportion of correct trials - is the primary outcome measure of the filter task. Changes in response accuracy were calculated by subtracting response accuracy at 1-month and 3-months from baseline response accuracy. Positive values correspond to an increase in accuracy and negative values correspond to a decline in accuracy.
Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Change From Baseline CDA Amplitude at 1- and 3- Months
Time Frame: Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction
Electrophysiological component that measures online storage load
Collected at Study Induction, 1 month after Study Induction, 3 months after Study Induction

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Vijaya Bhatt, MD, University of Nebraska

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)

September 1, 2016

Primary Completion (Actual)

December 11, 2017

Study Completion (Actual)

March 15, 2018

Study Registration Dates

First Submitted

April 22, 2016

First Submitted That Met QC Criteria

May 5, 2016

First Posted (Estimated)

May 10, 2016

Study Record Updates

Last Update Posted (Actual)

September 29, 2023

Last Update Submitted That Met QC Criteria

September 21, 2023

Last Verified

September 1, 2023

More Information

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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