Editing Consciousness: How Bereaved People Control Their Thoughts without Knowing It
Applying machine-learning techniques for neural decoding, Columbia Engineers and Psychiatrists are first to show that avoidant grievers monitor even their unconscious thoughts.
Newswise — New York, NY—December 10, 2018—People who are grieving a major loss, such as the death of a spouse or a child, use different coping mechanisms to carry on with their lives. Psychologists have been able to track different approaches, which can reflect different clinical outcomes. One approach that is not usually successful is avoidant grief, a state in which people suffering from grief show marked, effortful, repeated, and often unsuccessful attempts to stop themselves from thinking about their loss. While researchers have shown that avoidant grievers consciously monitor their external environment in order to avoid reminders of their loss, no one has yet been able to show whether these grievers also monitor their mental state unconsciously, trying to block any thoughts of loss from rising to their conscious state.
A new collaborative study between Columbia Engineering and Columbia University Irving Medical Center published online December 7 in SCAN: Social Cognitive and Affective Neuroscience demonstrates that avoidant grievers do unconsciously monitor and block the contents of their mind-wandering, a discovery that could lead to more effective psychiatric treatment for bereaved people suffering from impairing or pathological grief. The researchers, who studied 29 bereaved subjects, are the first to show how this unconscious thought suppression occurs. They tracked ongoing processes of mental control as loss-related thoughts came in and out of conscious awareness during a 10-minute period of mind-wandering.
Co-directed by Paul Sajda, professor of biomedical engineering, electrical engineering, and radiology, and John J. Mann, Paul Janssen Professor of Translational Neuroscience (in Psychiatry and in Radiology), the researchers used a new approach to track the interactions between mental processes: a machine-learning approach to functional magnetic resonance imaging (fMRI) called “neural decoding,” which establishes a neural pattern or fingerprint that can be used to determine when a given mental process is happening.
“The major challenge of our study was to be able ‘look under the hood’ of a person’s natural mind-wandering state to see what underlying processes were actually controlling their experience,” says Noam Schneck, lead author of the study, a postdoctoral fellow in Sajda’s lab and now assistant professor of clinical medical psychology (in psychiatry) at Columbia University Department of Psychiatry/ New York State Psychiatric Institute. “No one has done this kind of work before, showing this type of consistent control of one mental process—thinking about loss—by another—selective attention—as it happens spontaneously and unconsciously. These findings are significant because they open the door to building a fuller picture of the unconscious mind. We know that the experiences we have arise as a combination of constantly interacting networks. Now we have shown this interaction as it happens naturalistically as well as the way it controls experiences.”
The team recorded fMRI from people who had lost a first-degree relative (a spouse or partner) within the last 14 months. The subjects performed a modified Stroop task, a test widely used in psychology to measure a person's ability to control the contents of attention, and a separate task presenting pictures and stories of the deceased. Using machine learning, the team then trained respective neural fingerprints for attentional control based on the Stroop task and mental representation of the deceased based on the pictures and stories. The team observed spontaneous fluctuations in these processes that occurred during a neutral mind-wandering fMRI task. They discovered that those with more avoidant grief engaged their attentional control process to block representations of the deceased from conscious awareness.
“Our findings show that avoidant grief involves attentional control to reduce the likelihood that deceased-related representations reach full conscious awareness,” says Schneck. “Even though they are not aware of it, avoidant grievers actively control their mental state so that spontaneous thoughts of loss do not enter their consciousness. This kind of tailoring of mind-wandering likely exhausts mental energy and leads to time periods when the thoughts actually do break through. It is like an ineffective pop-up blocker that runs in the background of your computer. You might not be aware that it’s there but it slows down the overall operating speed and eventually breaks down and the pop ups get through.”
The researchers suggest that one treatment goal for avoidant grievers suffering from impairing or pathological grief may be to relax the conscious and unconscious mental controls that they maintain over their thinking of the loss. Since this control and monitoring happens outside of conscious awareness, this would be challenging to do, but training in mindfulness and acceptance may help some people relax both their conscious and unconscious mental controls.
“This research approach is an innovative collaboration between engineering and psychiatry that optimizes the tools of engineering to address critical questions in psychiatry,” says Sajda, who is also a member of Columbia’s Data Science Institute. “What we’ve shown in this paper is that outside of our conscious awareness, we are constantly editing our own mental experiences to control what does and does not get in. And this process of editing is not always helpful.”
The researchers are now planning a longitudinal study to see if avoidant grievers’ internal vigilance might predict poor grief outcomes over the long term.
About the Study
The study is titled “Ongoing Monitoring of Mindwandering in Avoidant Grief Through Cortico-Basal-Ganglia Interactions.”
Authors are: Noam Schneck1,2,3, Tao Tu3, Stefan Haufe4, George A. Bonanno5, Hanga GalfaIvy2,6, Kevin Ochsner7, J. John Mann1,2, and Paul Sajda3,8,9. (1. Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute; 2. Department of Psychiatry, Columbia University; 3. Department of Biomedical Engineering, Columbia University; 4. Machine Learning Group, Institute of Software Engineering and Theoretical Computer Science, Technische Universität Berlin; 5. Department of Clinical Psychology, Teachers College, Columbia University; 6. Department of Biostatistics, Columbia University; 7. Department of Psychology, Columbia University; 8. Department of Radiology, Columbia University; 9. Data Science Institute, Columbia University).
The study was funded by a Distinguished Investigator Grant (DIG-0-163-12) (JJM) and a Young Investigator Grant (YIG-0-215-13) (NS) from the American Foundation for Suicide Prevention. NS was supported by a National Institute of Mental Health T32 Training Grant in Anxiety and Related Disorders.
Dr. Mann receives royalties for commercial use of the C-SSRS from the Research Foundation for Mental Hygiene and has stock options in Qualitas Health, a start- up developing a PUFA supplement. Dr. Sajda is the majority owner and Chairman of the Board of Neuromatters LLC, a brain computer interface neuromarketing and gaming company. Dr. Galfalvy’s family owns stock in Illumina, Inc. Dr. Schneck, Dr. Bonnano, Dr. Ochsner, Dr. Haufe and Mr. Tu have no conflicts of interests to declare.
Columbia Engineering, based in New York City, is one of the top engineering schools in the U.S. and one of the oldest in the nation. Also known as The Fu Foundation School of Engineering and Applied Science, the School expands knowledge and advances technology through the pioneering research of its more than 220 faculty, while educating undergraduate and graduate students in a collaborative environment to become leaders informed by a firm foundation in engineering. The School’s faculty are at the center of the University’s cross-disciplinary research, contributing to the Data Science Institute, Earth Institute, Zuckerman Mind Brain Behavior Institute, Precision Medicine Initiative, and the Columbia Nano Initiative. Guided by its strategic vision, “Columbia Engineering for Humanity,” the School aims to translate ideas into innovations that foster a sustainable, healthy, secure, connected, and creative humanity.