Alcohol, Author Interviews, Stanford / 13.11.2023
Alcohol Use Disorder: Stanford Study Documents Brain Recovery With Abstinence
MedicalResearch.com Interview with:
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Prof. Durazzo[/caption]
Timothy C. Durazzo, PhD
Clinical Neuropsychologist and Research Scientist
Mental Illness Research and Education Clinical Centers
VA Palo Alto Health Care System
Professor, Department of Psychiatry and Behavioral Sciences
Stanford University School of Medicine
MedicalResearch.com: What is the background for this study?
-There are a limited number of studies investigating changes in human brain structure, in individuals with an alcohol use disorder, with longer term abstinence after treatment.
-Our study was the first to assess for change in cortical thickness over approximately 7 months of abstinence in those seeking treatment of alcohol use disorder.
-Cortical thickness in humans is genetically and phenotypically distinct from other brain structural measures such as cortical volume and surface area.
-Therefore, assessment of changes in cortical thickness with longer-term abstinence provides additional information on how human brain structure recovers with sobriety.
Prof. Durazzo[/caption]
Timothy C. Durazzo, PhD
Clinical Neuropsychologist and Research Scientist
Mental Illness Research and Education Clinical Centers
VA Palo Alto Health Care System
Professor, Department of Psychiatry and Behavioral Sciences
Stanford University School of Medicine
MedicalResearch.com: What is the background for this study?
-There are a limited number of studies investigating changes in human brain structure, in individuals with an alcohol use disorder, with longer term abstinence after treatment.
-Our study was the first to assess for change in cortical thickness over approximately 7 months of abstinence in those seeking treatment of alcohol use disorder.
-Cortical thickness in humans is genetically and phenotypically distinct from other brain structural measures such as cortical volume and surface area.
-Therefore, assessment of changes in cortical thickness with longer-term abstinence provides additional information on how human brain structure recovers with sobriety.
Dr. Belloy[/caption]
Michael E. Belloy, PhD
Department of Neurology and Neurological Sciences
Stanford University, Stanford, California
MedicalResearch.com: What is the background for this study?
Response: Apolipoprotein E (APOE)*2 and APOE*4 are, respectively, the strongest protective and risk-increasing, genetic variants for late-onset Alzheimer disease. As such, one’s APOE genotype is highly relevant towards clinical trial design and Alzheimer’s disease research. However, most insights so far are focused on the associations of these APOE genotypes with Alzheimer’s disease risk in non-Hispanic white individuals.
One important aspect of our work is that we really increased sample sizes for non-Hispanic Black, Hispanic, and East Asian individuals, so that we now have better understanding of the associations of APOE genotypes with Alzheimer’s disease risk in these groups. In complement, we also did the largest investigation to date on the role of ancestry on the associations of APOE genotypes with Alzheimer’s disease risk. The scale of our study was thus a critical factor in generating novel insights.
Dr. Etkin[/caption]
Amit Etkin, MD, PhD
Department of Psychiatry and Behavioral Sciences
Wu Tsai Neurosciences Institute, Stanford Universitu
Stanford, CA
MedicalResearch.com: What is the mission of Cohen Veterans Bioscience - CVB?
Response: Cohen Veterans Bioscience (CVB) is a non-profit 501(c)(3) research biotech dedicated to fast-tracking the development of diagnostic tests and personalized therapeutics for the millions of Veterans and civilians who suffer the devastating effects of trauma-related and other brain disorders.
MedicalResearch.com: How can patients with PTSD or MDD benefit from this information?
Response: With the discovery of this new brain imaging biomarker, patients who suffer from PTSD or MDD may be guided towards the most effective treatment without waiting months and months to find a treatment that may work for them.
MedicalResearch.com: What is the background for this study?
Response: This study, which was supported with a grant from Cohen Veterans Bioscience, grants from the National Institute of Mental Health (NIMH and other supporters, derives from our work over the past few years which has pointed to the critical importance of understanding how patients with a variety of psychiatric disorders differ biologically. The shortcomings of our current diagnostic system have become very clear over the past 1-2 decades, but the availability of tools for transcending these limitations on the back of objective biological tests has not kept pace with the need for those tools.
In prior work, we have used a variety of methods, including different types of brain imaging, to identify brain signals that underpin key biological differences within and across traditional psychiatric diagnoses. We have also developed specialized AI tools for decoding complex patterns of brain activity in order to understand and quantify biological heterogeneity in individual patients. These developments have then, in turn, converged with the completion of a number of large brain imaging-coupled clinical trials, which have provided a scale of these types of data not previously available in the field.
Dr. Leas[/caption]
Eric Leas PhD, MPH
Stanford Prevention Research Center
University of California, San Diego
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: Recent research has demonstrated the importance that neighborhood context has on life opportunity, health and well-being that can perpetuate across generations. A strongly defining factor that leads to differences in health outcomes across neighborhoods, such as differences in chronic disease, is the concurrent-uneven distribution of modifiable risk factors for chronic disease.
The main goal of our study was to characterize inequities in smoking, the leading risk factor for chronic disease, between neighborhoods in America's 500 largest cities. To accomplish this aim we used first-of-its-kind data generated from the 500 Cities Project—a collaboration between Robert Wood Johnson Foundation and the US Centers for Disease Control and Prevention—representing the largest effort to provide small-area estimates of modifiable risk factors for chronic disease.
We found that inequities in smoking prevalence are greater within cities than between cities, are highest in the nation’s capital, and are linked to inequities in chronic disease outcomes. We also found that inequities in smoking were associated to inequities in neighborhood characteristics, including race, median household income and the number of tobacco retailers.

