Unknown

Dataset Information

0

Tracking Deceased-Related Thinking with Neural Pattern Decoding of a Cortical-Basal Ganglia Circuit.


ABSTRACT: BACKGROUND:Deceased-related thinking is central to grieving and potentially critical to processing of the loss. Self-report measurements might fail to capture important elements of deceased-related thinking and processing. Here, we used a machine learning approach applied to fMRI - known as neural decoding - to develop a measure of ongoing deceased-related processing. METHODS:23 subjects grieving the loss of a first-degree relative, spouse or partner within 14 months underwent two fMRI tasks. They first viewed pictures and stories related to the deceased, a living control and a demographic control figure while providing ongoing valence and arousal ratings. Second, they performed a 10-minute Sustained Attention to Response Task (SART) with thought probes every 25-35 seconds to identify deceased, living and self-related thoughts. RESULTS:A conjunction analysis, controlling for valence/arousal, identified neural clusters in basal ganglia, orbital prefrontal cortex and insula associated with both types of deceased-related stimuli vs. the two control conditions in the first task. This pattern was applied to fMRI data collected during the SART, and discriminated deceased-related but not living or self-related thoughts, independently of grief-severity and time since loss. Deceased-related thoughts on the SART correlated with self-reported avoidance. The neural model predicted avoidance over and above deceased-related thoughts. CONCLUSIONS:A neural pattern trained to identify mental representations of the deceased tracked deceased-related thinking during a sustained attention task and also predicted subject-level avoidance. This approach provides a new imaging tool to be used as an index of processing the deceased for future studies of complicated grief.

SUBMITTER: Schneck N 

PROVIDER: S-EPMC5513169 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Tracking Deceased-Related Thinking with Neural Pattern Decoding of a Cortical-Basal Ganglia Circuit.

Schneck Noam N   Haufe Stefan S   Tu Tao T   Bonanno George A GA   Ochsner Kevin K   Sajda Paul P   Mann J John JJ  

Biological psychiatry. Cognitive neuroscience and neuroimaging 20170701 5


<h4>Background</h4>Deceased-related thinking is central to grieving and potentially critical to processing of the loss. Self-report measurements might fail to capture important elements of deceased-related thinking and processing. Here, we used a machine learning approach applied to fMRI - known as neural decoding - to develop a measure of ongoing deceased-related processing.<h4>Methods</h4>23 subjects grieving the loss of a first-degree relative, spouse or partner within 14 months underwent two  ...[more]

Similar Datasets

| S-EPMC3377745 | biostudies-other
| S-EPMC6603169 | biostudies-literature
| S-EPMC5161609 | biostudies-literature
| S-EPMC3573233 | biostudies-literature
| S-EPMC5918681 | biostudies-literature
| S-EPMC5728518 | biostudies-literature
| S-EPMC6492721 | biostudies-literature
| S-EPMC4886205 | biostudies-other
| S-EPMC3775364 | biostudies-literature
| S-EPMC10516592 | biostudies-literature