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V. Menon

2 papers in the library · 2,227 citations · publishing 2008-2019

Papers

Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network

Cerebral Cortex April 9, 2008 M. D. Greicius, K. Supekar, V. Menon et al. 2,227 citations

Resting-state functional connectivity MRI, which measures correlated brain activity while a person lies quietly in a scanner, has been questioned as possibly reflecting noise rather than true neural connections. By combining diffusion tensor imaging tractography with resting-state functional connectivity MRI, this work tested whether the functional correlations correspond to actual structural pathways. Focusing on the default mode network—a set of brain regions involved in memory, including the medial prefrontal cortex, medial temporal lobes, and posterior cingulate/retrosplenial cortex—the analysis found that structural connections matched the functional connectivity maps. Medial temporal lobes connected to retrosplenial cortex, while medial prefrontal cortex connected to posterior cingulate cortex. The results demonstrate that resting-state functional connectivity reflects structural connectivity, and combining methods can deepen understanding of brain networks.

DOI: 10.1093/cercor/bhn059 (opens in new tab)

Dysregulated Brain Dynamics in a Triple-Network Saliency Model of Schizophrenia and Its Relation to Psychosis.

Biological Psychiatry January 1, 2019 Kaustubh Supekar, Weidong Cai, R. Krishnadas et al.

Dynamic interactions between the salience network and two other large-scale brain networks—the central executive network and default mode network—are reduced, less persistent, and more variable in patients with schizophrenia compared with well-matched control subjects. These aberrant network dynamics distinguish patients from controls with 78% and 80% accuracy in two independent cohorts. Crucially, the degree of disruption correlates with positive psychotic symptoms but not with negative symptoms. The findings support an aberrant saliency model of psychosis, in which dysregulated time-varying engagement of the salience network contributes to the neurobiology of schizophrenia.

DOI: 10.1016/j.biopsych.2018.07.020 (opens in new tab) Full text (opens in new tab) Medicine Psychology