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Updated: May 13, 2025

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
Published on: August 2, 2021
Targeted Research and Treatment Implications in Women With Depression
Marie E Gaine1, Kathleen M Jagodnik1, Ritika Baweja1
1Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, and Iowa Neuroscience Institute, University of Iowa, Iowa City (Gaine); Department of Psychiatry, Harvard Medical School and Massachusetts General Hospital, Boston (Jagodnik, Dekel); Department of Psychiatry and Behavioral Health and Department of Obstetrics and Gynecology, College of Medicine, Pennsylvania State University, Hershey (Baweja); Department of Behavioral Science and Social Medicine, College of Medicine, Florida State University, Tallahassee (Bobo); Department of Psychiatry, Huntsman Mental Health Institute, School of Medicine, University of Utah, and Department of Veterans Affairs, Rocky Mountain Mental Illness Research, Education, and Clinical Center, Salt Lake City (McGlade); Department of Community Health Systems, University of California, San Francisco (Weiss); Department of Psychiatry and Behavioral Health, Pennsylvania State University College of Medicine, Hershey (Beal); Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota (Ozerdem).
Abstract:
Women with a history of traumatic experience, particularly adversity encountered during childhood, have an increased risk of developing depression. The authors review the biological mechanisms associating trauma with depression, including the role of the hypothalamic-pituitary-adrenal axis. Additionally, the psychosocial and cultural considerations associating traumatic experience with depression are discussed, and current gaps in knowledge about biological mechanisms, psychosocial factors, and cultural aspects relating trauma to depression that remain to be addressed are described. Women with a history of trauma are also at increased risk for engaging in suicidal behaviors, including suicidal ideation and attempts. Increased suicidality in women with a history of trauma has been observed in various populations, including among victims of intimate partner violence, female veterans, refugees, and individuals who identify as lesbian, gay, bisexual, transgender, queer or questioning, or other. Although associations between trauma and suicidality have been well documented, limited research has examined the impact of age or reproductive stage, an important area for future research. A wide range of biological, psychosocial, and cultural factors that can increase the risk for suicidality across the lifespan in women are described, and how they may be included when completing clinical assessments for women is highlighted. Machine learning, and its use in risk and outcome prediction of depression in women across reproductive stages toward individualized psychiatric services, is introduced, with future directions reviewed.
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