Noam Schneck, Ph.D., is an Assistant Professor of Medical Psychology in the Department of Psychiatry at Columbia University Vagelos College of Physicians & Surgeons and Research Scientist in Molecular Imaging and Neuropathology at the New York State Psychiatric Institute. He is the PI on the NIMH funded K23 grant “Predicting Complicated Grief in Suicide Bereavement.” Dr. Schneck is a co-Investigator for the Conte Center for Suicide Prevention Project 3.
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.
1. Schneck N, Herzog S, Lu J, Yttredahl A, Ogden RT, Galfalvy H, Burke A, Stanley B, Mann JJ, Ochsner KN. The temporal dynamics of emotion regulation in subjects with major depression and healthy control subjects. Biological Psychiatry. 2023.
2. Schneck N, Tu T, Falcone HR, et al. Large-scale network dynamics in neural response to emotionally negative stimuli linked to serotonin 1A binding in major depressive disorder. Mol Psychiatry. 2021;26(6):2393-2401.
3. 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.
4. 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
5. 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.