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Nicholas Enbar-Salo '27

The Solution to Alzheimer’s May Lie in Depression

April 21, 2024 by Nicholas Enbar-Salo '27

Despite being discovered by Alois Alzheimer almost 120 years ago, Alzheimer’s Disease (AD) still remains incurable (Hippius & Neundörfer, 2003). AD causes the brain to break down over time, which is also known as neurodegeneration. AD begins by deterioration of the hippocampus, which is the part of the brain responsible for memory and emotion. It then slowly spreads to other parts of the brain, eventually breaking apart the brain stem, which is responsible for involuntary movements such as breathing and swallowing (Lee et al., 2015). Given that around 39 million people have Alzheimer’s worldwide and that this disease has a 100% fatality rate, scientists across the world have tried to find a cure to this ravaging disease (World Health Organization, 2023). While there is yet to be a cure, recent developments by Stephanie Langella could help with mitigating one of the earliest signs of Alzheimer’s: depressive symptoms.

In this study, Langella and her team studied Presenilin-1 (PSEN1) gene mutations, a major cause of early-onset Alzheimer’s Disease. The PSEN1 gene provides instructions for making the presenilin-1 protein. This protein is an essential part of a protein complex known as gamma-secretase. This complex cleaves toxic proteins such as the amyloid precursor protein (APP) to create nontoxic proteins. When the PSEN1 gene mutates, gamma-secretase struggles to form and break down these toxic proteins, causing APP molecules to join together to create amyloid-beta (also known as amyloid-ꞵ or A-ꞵ), the protein responsible for the neurodegeneration seen in Alzheimer’s Disease (Bagaria et al., 2022). 

A figure of gamma-secretase, APP processing, and generation of Amyloid-β (Aβ). Cleavages of C99 by gamma secretase (ε/ζ/γ) release sAPPβ, a type of APP which is beneficial to cells. When the PSEN1 gene mutates, gamma secretase (γ) produces AICD, a harmful type of APP, into a cell’s liquid (cytosol) and amyloid-β 37-43 into cell organelles. Aβ42 is the form of amyloid-β responsible for neurodegeneration in AD patients. (Steiner et al., 2018).

In particular, they studied its relationship to the neurodegeneration of the hippocampus and depressive symptoms (Langella et al., 2023). They began by creating two groups:  the first group consisted of carriers of the PSEN1 mutation but that had not yet been diagnosed with AD, and the second group consisted of the family members of the respective PSEN1 carriers that did not have the mutation and were not diagnosed with Alzheimer’s. Then, two structural MRIs – a method of neuroimaging which models the brain structures of a patient– with a one-year gap in between the two images were taken of the participants’ hippocampuses to measure the change in the volume of the hippocampus over a year. Participants also took the Geriatric Depression Scale, a 15-item survey that measures depressive symptoms, such as the subjects’ feelings of hopelessness and rating their interest in hobbies, to measure depressive symptoms over one year. 

Once the study was concluded, Langella found that there was no significant difference in the severity of the depressive symptoms between those carrying the PSEN1 mutation and those that did not. However, within the group carrying the PSEN1 mutation, those with smaller hippocampal volumes experienced more depressive symptoms. This association remained even after accounting for the age differences in the participants. This same association was not present in the non-PSEN1 carriers (Langella et al., 2023). Since the volume of the hippocampus did not have any relationship with depressive symptoms with non-PSEN1 carriers, there is likely some relationship between Alzheimer’s and depressive symptoms caused by hippocampal neurodegeneration. 

A).  Structural MRI of the hippocampus from the back of the head (shown in yellow)

C). Top-down structural MRI of the hippocampus (shown in yellow)  (Sato et al., 2021)

There are several important implications of this research. To start, if there is indeed a relationship between the severity of depressive symptoms and the size of the hippocampus in someone with AD, there is a chance that trying to mitigate these depressive symptoms through therapy and antidepressant medication could slow down the deterioration of the hippocampus. By keeping the hippocampus intact for a longer time, people with AD could have better emotional control and memory later in life, which would greatly improve their quality-of-life (Langella et al., 2023). Also, since AD first deteriorates the hippocampus, it is possible that the onset of depressive symptoms in people with the PSEN1 mutation could be used as an indicator to doctors on the severity of the neurodegeneration. For instance, if someone with the PSEN1 gene mutation suddenly begins displaying depressive symptoms, it is possible that AD has just recently started decaying the hippocampus. Doctors can then try to intervene and slow the decay of the hippocampus through administering antidepressants and therapy, but also through encouraging lifestyle changes such as increased exercise. This way, those with Alzheimer’s can live a longer time before their hippocampus fully degrades, letting them keep their memories for a longer time. 

Since this is one of the first studies relating depression and hippocampal decay in people with PSEN1 mutations, there is no theorized mechanism behind why this relationship exists in people with the PSEN1 mutation but not in those without. However, Langella et al. did find a particularly strong association between hippocampal decay in those with the PSEN1 mutation and displaying apathy, one of the measured depressive symptoms in the study (2023). More research should be done on the potential role of certain depressive symptoms on hippocampal decay, along with more research on the neural underpinnings relating the PSEN1 mutation, depression symptoms, and hippocampal decay. There is some evidence linking the formation of amyloid-ꞵ to depression in late-life major depression, but further research into the mechanism underlying this relationship is required (Pomara et al., 2022). 

However, there is a pressing issue with this study; it had a fairly small sample size, with the PSEN1 carrier group having 27 participants and the non-PSEN1 group having 26. Since AD is a disease that affects everyone slightly differently, having such a small sample size makes the results unreliable and hard to generalize to everyone with AD. Regardless of the issues in the study, developments such as the ones created by this study serve to improve the quality of life and life expectancy of people with AD, which promises to improve the lives of almost 39 million people and their families. With every passing discovery into Alzheimer’s, scientists are also getting more information on the mechanisms behind the disease, which could eventually lead humanity to curing the disease altogether. 

 

Citations

Bagaria, J., Bagyinszky, E., & An, S. S. A. (2022). Genetics, Functions, and Clinical Impact of Presenilin-1 (PSEN1) Gene. International journal of molecular sciences, 23(18), 10970. https://doi.org/10.3390/ijms231810970

 

Hippius, H., & Neundörfer, G. (2003). The discovery of Alzheimer’s disease. Dialogues in clinical neuroscience, 5(1), 101–108. https://doi.org/10.31887/DCNS.2003.5.1/hhippius

 

Langella S,  Lopera F,  Baena A, et al.  Depressive symptoms and hippocampal volume in autosomal dominant Alzheimer’s disease. Alzheimer’s Dement.  14 Oct. 2023, 986–994. https://doi.org/10.1002/alz.13501

 

Lee, J. H., Ryan, J., Andreescu, C., Aizenstein, H., & Lim, H. K. (2015). Brainstem morphological changes in Alzheimer’s disease. Neuroreport, 26(7), 411–415. https://doi.org/10.1097/WNR.0000000000000362

 

Pomara, N., Bruno, D., Plaska, C.R. et al. Plasma Amyloid-β dynamics in late-life major depression: a longitudinal study. Transl Psychiatry 12, 301 (2022). https://doi.org/10.1038/s41398-022-02077-8

 

Sato, Jinya, et al. “Lower Hippocampal Volume in Patients with Schizophrenia and Bipolar  Disorder: A Quantitative MRI Study.” Journal of Personalized Medicine, vol. 11, no. 2, 13 Feb. 2021, p. 121, https://doi.org/10.3390/jpm11020121.

 

Steiner, H., Fukumori, A., Tagami, S., & Okochi, M. (2018, October 28). Making the final cut: Pathogenic amyloid-β peptide generation by γ-secretase. The Journal of Cellular Pathology. https://www.cell-stress.com/researcharticles/making-the-final-cut-pathogenic-amyloid-%ce%b2-peptide-generation-by-%ce%b3-secretase

 

World Health Organization. “Dementia.” Dementia, 2023, www.who.int/news-room/fact-sheets/detail/dementia.

Filed Under: Psychology and Neuroscience, Science Tagged With: Alzheimer's Disease, Depression, Genes

ChatGPT Beats Humans in Emotional Awareness Test: What’s Next?

December 3, 2023 by Nicholas Enbar-Salo '27

In recent times, it can seem like everything revolves around artificial intelligence (AI). From AI-powered robots performing surgery to facial recognition on smartphones, AI has become an integral part of modern life. While AI has affected nearly every industry, most have been slowly adapting AI into their field while trying to minimize the risks involved with AI. One such field with particularly great potential is the mental health care industry. Indeed, some studies have already begun to study the uses of AI to assist mental health work. For instance, one study used AI to predict the probability of suicide through users’ health insurance records (Choi et al., 2018), while another showed that AI could identify people with depression based on their social media posts (Aldarwish & Ahmed, 2017). 

Perhaps the most wide-spread AI technology is ChatGPT, a public natural language processor chatbot that can help you with a plethora of tasks, from writing an essay to playing chess. Much discussion has been done about the potential of such chatbots in mental health care and therapy, but few studies have been published on the matter. However, a study by Zohar Elyoseph has started the conversation of chatbots’ potential, specifically ChatGPT, in therapy. In this study, Elyoseph and his team gave ChatGPT the Levels of Emotional Awareness Scale (LEAS) to measure ChatGPT’s capability for emotional awareness (EA), a core part of empathy and an essential skill of therapists (Elyoseph et al., 2023). The LEAS gives you 20 scenarios, in which someone experiences an event that supposedly elicits a response in the person in the scenario, and the test-taker must describe what emotions the person is likely feeling. Two examinations of the LEAS, one month apart, were done on ChatGPT to test two different versions of ChatGPT. This was done to see if updates during that month would improve its ability on the LEAS. On both examinations, two licensed psychologists scored the responses from ChatGPT to ensure reliability of its score. On the first examination in January 2023, ChatGPT achieved a score of 85 out of 100, compared to the French men’s and female’s averages of 56.21 and 58.94 respectively. On the second examination in February 2023, ChatGPT achieved a score of 98: nearly a perfect score, a significant improvement from the already high score of 85 a month prior, and a score that is higher than most licensed psychologists (Elyoseph et al., 2023).

This study shows that, not only is ChatGPT more capable than humans at EA, but it is also rapidly improving at it. This has massive implications for in-person therapy. While there is more to being a good therapist than just emotional awareness, it is a major part of it. Therefore, based on this study, there is potential for chatbots like ChatGPT to rival, or possibly even replace, therapists if developers are able to develop the other interpersonal traits of good therapists. 

However, ChatGPT and AI needs more work to be done before it can really be implemented into the mental health field in this manner. To start, while AI is capable of the technical aspects of therapy, such as giving sound advice and validating a client’s emotions, ChatGPT and other chatbots sometimes give “illusory responses”, or fake responses that it claims are legitimate (Hagendorff et al., 2023). For example, ChatGPT will sometimes say “5 + 5 = 11” if you ask what 5 + 5 is, even though the answer is clearly wrong. While this is a very obvious example of an illusory response, harm can be done if the user is not able to distinguish between the real and illusory responses for more complex subjects. These responses can be extremely harmful in situations such as therapy, as clients rely on a therapist for guidance, and if such guidance were fake, it could harm rather than help the client. Furthermore, there are concerns regarding the dehumanization of therapy, the loss of jobs for therapists, and the breach of a client’s privacy if AI was to replace therapists (Abrams, 2023). ​​

Fig 1. Sample conversation with Woebot, which provides basic therapy to users. Adapted from Darcy et al., 2021. 

However, rudimentary AI programs are already sprouting that try to bolster the mental health infrastructure. Replika, for instance, is an avatar-based chatbot that offers therapeutic conversation with the user, and saves previous conversations to remember them in the future. Woebot provides a similar service (Figure 1), providing cognitive-behavioral therapy (CBT) for anxiety and depression to users (Pham et al., 2022). While some are scared about applications such as these, these technologies should be embraced since, as they become more refined, they could provide a low-commitment, accessible source of mental health care for those who are unable to reach out to a therapist, such as those who are nervous about reaching out to a real therapist, those who live in rural environments without convenient access to a therapist, or those who lack the financial means for mental health support. AI can also be used as a tool for therapists in the office. For example, an natural language processing application, Eleos, can take notes and highlight themes and risks for therapists to review after the session (Abrams, 2023). 

There are certainly some drawbacks of AI in therapy, such as the dehumanization of therapy, that may not have a solution and could therefore limit AI’s influence in the field. There is certainly a chance that some people would never trust AI to give them empathetic advice. However, people said the same when robotic surgeries began being used in clinical settings, but most people seem to have embraced that due to its superb success rate. Regardless of whether these problems are resolved, AI in the mental health industry has massive potential, and we must make sure to ensure that the risks and drawbacks of such technology are addressed and refined so that we can make the most of this potential in the future and bring better options to those who need it. 

 

Citations

Abrams, Z. (2023, July 1). AI is changing every aspect of psychology. Here’s what to watch for. Monitor on Psychology, 54(5). https://www.apa.org/monitor/2023/07/psychology-embracing-ai

 

Aldarwish MM, Ahmad HF. Predicting Depression Levels Using Social Media Posts. Proc – 2017 IEEE 13th Int Symp Auton Decentralized Syst ISADS 2017 2017;277–80.

 

Choi SB, Lee W, Yoon JH, Won JU, Kim DW. Ten-year prediction of suicide death using Cox regression and machine learning in a nationwide retrospective cohort study in South Korea. J Affect Disord. 2018;231(January):8–14.

 

Darcy, Alison & Daniels, Jade & Salinger, David & Wicks, Paul & Robinson, Athena. (2021). Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study. JMIR Formative Research. 5. e27868. 10.2196/27868. 

 

Elyoseph, Z., Hadar-Shoval, D., Asraf, K., & Lvovsky, M. (2023). ChatGPT outperforms humans in emotional awareness evaluations. Frontiers in psychology, 14, 1199058. 

 

Hagendorff, T., Fabi, S. & Kosinski, M. Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT. Nat Comput Sci 3, 833–838.

 

Pham K. T., Nabizadeh A., Selek S. (2022). Artificial intelligence and chatbots in psychiatry. Psychiatry Q. 93, 249–253.



Filed Under: Computer Science and Tech, Psychology and Neuroscience, Science Tagged With: AI, AI ethics, ChatGPT, therapy

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