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R. Nathan Spreng

3 papers in the library · 1,767 citations · publishing 2009-2020

Papers

Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network

Journal of Cognitive Neuroscience July 6, 2009 R. Nathan Spreng, Cheryl L. Grady 1,023 citations

A core brain network called the default mode network (DMN) supports three distinct self-referential processes: remembering the past, imagining the future, and understanding others' minds. Functional MRI scans revealed a common pattern of neural activation across all three processes within the DMN. Autobiographical remembering and prospection more strongly engaged midline DMN structures, while theory-of-mind reasoning more strongly engaged lateral DMN areas. Activity in a key DMN node, the medial prefrontal cortex, correlated with activity in other DMN regions during all three tasks. The findings suggest the DMN provides a shared neural foundation for simulating internal experiences.

The wandering brain: Meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes

Neuroimage February 25, 2015 Kieran C. R. Fox, R. Nathan Spreng, Melissa Ellamil et al. 717 citations

Spontaneous thought processes such as mind-wandering recruit both default mode network (DMN) regions and many non-DMN areas. A meta-analysis of 24 functional neuroimaging studies found consistent activation in DMN regions including medial prefrontal cortex, posterior cingulate cortex, medial temporal lobe, and bilateral inferior parietal lobule, but also in non-DMN regions such as rostrolateral prefrontal cortex, dorsal anterior cingulate cortex, insula, temporopolar cortex, secondary somatosensory cortex, and lingual gyrus. These findings indicate that DMN activation alone cannot fully explain the neural basis of spontaneous thought; frontoparietal control network and other areas are equally central. Progress in cognitive and clinical neuroscience of spontaneous thought requires a broader view beyond the DMN.

Serotonergic psychedelic drugs LSD and psilocybin reduce the hierarchical differentiation of unimodal and transmodal cortex

bioRxiv (Cold Spring Harbor Laboratory) May 3, 2020 Manesh Girn, Leor Roseman, Boris C. Bernhardt et al. 27 citations preprint

LSD and psilocybin flatten the brain's hierarchical organization, reducing the functional separation between sensory and higher-order cognitive networks. Using a non-linear dimensionality reduction technique on resting-state fMRI data, the authors found that both drugs compressed the principal gradient of cortical connectivity, which normally spans from unimodal (sensory) to transmodal (association) cortex. This flattening was driven by decreased differentiation at both ends of the hierarchy—default and frontoparietal networks at the upper end and somatomotor networks at the lower end—and was accompanied by increased crosstalk between unimodal and transmodal regions. Changes in the principal gradient under LSD tracked self-reported ego-dissolution. The findings support a mechanistic model of the psychedelic state and demonstrate that macroscale connectivity gradients are sensitive to serotonergic modulation.