Noam M. Schneck, PhD
Dr. Schneck studies the way that people adapt to the suicide loss of a loved one. Specifically, his research aims to identify unconscious processes of coping with the loss that help people grow and adapt while also allowing them to remain engaged in current life demands. These unconscious processes are identified using a machine learning based approach to functional magnetic resonance brain imaging called neural decoding. The goal of this research is to ultimately develop a treatment technique that would entrain greater unconscious processing of the loss.
In the Media:
1. Survive Together Study
2. The Dana Foundation Blog
3. Suicide Survivor Study
4. Bereaved People Unconsciously Suppress Thoughts of Lost Loved Ones
- Assistant Professor of Clinical Medical Psychology (in Psychiatry)
Predicting complicated grief from grief processing
Grant # : K23 MH114021-01A1
Schneck N, Haufe S, Tu T, et al. Tracking Deceased-Related Thinking with Neural Pattern Decoding of a Cortical-Basal Ganglia Circuit. Biol Psychiatry Cogn Neurosci Neuroimaging. 2017;2(5):421-429.
Schneck N, Tu T, Bonanno GA, Shear MK, Sajda P, Mann JJ. Self-generated Unconscious Processing of Loss Linked to Less Severe Grieving. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018.
Schneck N, Tu T, Michel C, Bonanno GA, Sajda P, Mann JJ. Attentional Bias to Reminders of the Deceased as Compared to a Living Attachment in Grieving. Biol Psychiatry Cogn Neurosci Neuroimaging. 2018;3(2):107-115
Schneck N, Tu T, Haufe S, et al. Ongoing Monitoring of Mindwandering in Avoidant Grief Through Cortico-Basal-Ganglia Interactions. Soc Cogn Affect Neurosci. 2018.