Tag: CAMH

  • Findings support precision approaches to hormone therapy for women in midlife and beyond

    Source: CAMH News

    Estradiol, the most common form of the estrogens used in hormone therapy, may influence different types of memory during the menopausal transition and beyond depending on how it is delivered – through the skin or orally – according to new research led by Dr. Liisa Galea, senior scientist and womenmind Treliving Family Chair in Women’s Mental Health at the Centre for Addiction and Mental Health (CAMH). Published today in the journal Neurology, the study is the first to show that the same hormone can have distinct cognitive effects depending on delivery method – highlighting the need for more personalized approaches to women’s brain health. 

    “This is the first study to show that estradiol’s effects on memory vary depending on how it is delivered,” said Dr. Galea. “It also reinforces that cognition is multifaceted, and hormone therapy should be tailored to each woman’s health profile and menopause experience.”

    The study analyzed data from 7,251 cognitively healthy postmenopausal participants using data from the Canadian Longitudinal Study on Aging, a national research project following Canadians over 20 years to understand how different factors affect health and aging. Participants completed tests measuring episodic memory (recalling past events), prospective memory (remembering to perform future tasks) and executive function (planning and problem-solving). Among participants, 4 per cent used transdermal estradiol (delivered through the skin via patches, gels, or vaginal applications), 2 per cent used oral estradiol pills, and 94 per cent did not use hormone therapy. 

    The researchers found that the earlier someone experienced menopause, the more it affected cognition across all the areas tested. Transdermal estradiol users demonstrated better episodic memory compared to non-users, while oral estradiol users showed improved prospective memory. This suggests that estradiol’s delivery method impacts different aspects of cognition. Hormone therapy did not appear to affect executive function in either case, and all findings were consistent regardless of the number of children participants had or their genetic risk factors. Notably, estradiol therapy was never associated with poorer cognitive outcomes, reaffirming its potential positive value for women’s brain health in menopause. 

    Dr. Galea added: “There’s clearly a lot more we need to understand about how different estrogens can support the brain health of older women. To truly personalize care, we need a better sense of when, how, and for whom it is optimal to use these hormones to support memory. This will be a key area of future exploration.”

    She also emphasized the lack of investment in women’s brain health research. “Only six to seven per cent of health research grants from Canada’s largest health granting agency address women’s health issues but mostly focused on pregnancy — with just 0.18 per cent across 15 years on menopause,” she said. “Women’s brain health remains understudied, underfunded, and overgeneralized. We urgently need more evidence to support women in midlife and beyond. That is why I am thrilled that, with new funding from Wellcome Leap, we are developing an Alzheimer’s disease prediction tool specifically for women, leveraging machine learning and big data.” 

    About the Centre for Addiction and Mental Health (CAMH) 

    The Centre for Addiction and Mental Health (CAMH) is Canada’s largest mental health and addiction teaching hospital and a world leading research centre in this field. CAMH combines clinical care, research, education, policy development and health promotion to help transform the lives of people affected by mental illness and addiction. CAMH is fully affiliated with the University of Toronto and is a Pan American Health Organization/World Health Organization Collaborating Centre. For more information, please visit camh.ca 
    or follow @CAMHnews on Bluesky and LinkedIn. 

    Media Contact: 
    media@camh.ca 


  • Dr. Mohamed Abdelhack, Centre for Addiction and Mental Health, was awarded a Brain star award for this work

    Sleep and depression have a complex birectional relationship. For example, while most people suffering from depression also suffer from insomnia, others report hypersomnia. Contradictory results are also seen in scientific studies of this relationship. A new study by Mohamed Abdelhack and colleagues analyzed how brain signals change with differences in sleep habits, depression symptoms, and cognitive abilities in over 30,000 people. By performing such large scale and comprehensive analyses, they reveal opposing relationships between change in brain signals when a person is doing a task and when they are not (resting state). These results provide important insights into the relationship between depressive symptoms and sleep in the general population.

    By analysis data from over 30,000 participants from UK-Biobank and Human Connectome Project, the researchers found contradictions in brain-wide associations of sleep and depression depending on participant’s state. The researchers found brain regions were hyperconnected under resting conditions with insomnia and depression. These results indicate that, in insomnia and depression, resting-state dynamics are resembling those of rested-wakefulness. The brain is signalling a lack of need for sleep which could signal hyperarousal.

    When the researcher analysed data from people while they were performing a task, they instead observed a drop in connection between brain regions, which could be signifying a “local sleep” phase which decreases the cognitive performance as the brain is unable to recruit its resources to perform the task.

    This publication shows counterintuitive results where neural signatures of sleep and depression when the participant was doing a task contradicted those when the participant was not doing any task (resting state). It highlights the importance of probing the effect of mental health in different conditions. These results could also guide advances in clinical practice to investigate more details of sleep habits to optimize care plans while also tracking the cognitive load of patients to assess treatment efficacy.

    About Dr. Mohamed Abdelhack

    Mohamed is a Postdoctoral Fellow at the Whole Person and Population Modelling laboratory at the Krembil Centre for Neuroinformatics working on using statistical analysis of big data and machine/deep learning to model mental health and psychiatric disorders. He mainly uses fMRI imaging, statistical data analysis, and computational modelling.

    He previously worked as a Postdoctoral Researcher in Washington University in St. Louis where he was building machine learning models to predict post-surgical medical complications. He also worked as a researcher in Kyoto University Hospital studying neural activity markers of Schizophrenia using brain decoding and deep learning techniques. His doctoral work in Kyoto University focused on using deep learning models to understand robustness of human brain in recognizing degraded visual input.

    He also founded the Arabs in Neuroscience (AiN) not-for-profit, which is a grassroots organization that aims to enhance education and research among Arabic-speaking scientists and students all over the world. Through AiN, he runs an online introductory course in computational neuroscience. He is also a teaching assistant at the Computational Neuroscience Imbizo summer school and a member of The Africa I Know non-profit.

    Website: https://mabdelhack.github.io/

    Twitter handle: @mabdelhack

    Sources of funding

    This study was funded by grants for Daniel Felsky from The Koerner Family Foundation New Scientist Program, The Krembil Foundation, the Canadian Institutes of Health Research, the Canadian Foundation for Innovation, and the CAMH Discovery Fund. Author Mohamed Abdelhack was further supported by the CAMH womenmind postdoctoral fellowship.

    Source of text: Canadian Association for Neuroscience

    Scientific publication

    Abdelhack M, Zhukovsky P, Milic M, Harita S, Wainberg M, Tripathy SJ, Griffiths JD, Hill SL, Felsky D. Opposing brain signatures of sleep in task-based and resting-state conditions. Nat Commun. 2023 Dec 1;14(1):7927.

    https://rdcu.be/dEWTz


  • With 1 in 5 Canadians experience mental illness, Dr. Liisa Galea explores how women are disproportionately affected, and how we can help.

    Co-hosted by Melissa Grelo, Cynthia Loyst, Lainey Lui and correspondent Jess Allen, THE SOCIAL, airing on CTV, brings a fresh, daily perspective on the up-to-the-minute news, pop culture, and lifestyle topics that matter most to Canadians.