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. 2018 Feb;43(3):598-606.
doi: 10.1038/npp.2017.233. Epub 2017 Sep 26.

Levels of Cognitive Control: A Functional Magnetic Resonance Imaging-Based Test of an RDoC Domain Across Bipolar Disorder and Schizophrenia

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Levels of Cognitive Control: A Functional Magnetic Resonance Imaging-Based Test of an RDoC Domain Across Bipolar Disorder and Schizophrenia

Jason Smucny et al. Neuropsychopharmacology. 2018 Feb.

Abstract

In recent years, the boundaries of psychopathology as defined by diagnostic categories have been criticized as inadequately 'carving nature at its joints' with respect to the neurobiology of major mental disorders. In 2010 the NIMH launched the Research Domain Criteria (RDoC) framework for understanding mental illnesses as brain circuit disorders that extend beyond DSM-defined diagnoses. In the present study we focus on cognitive dysfunction, a core feature of schizophrenia (SZ) and bipolar disorder (BPD), and use functional magnetic resonance imaging (fMRI) during a cognitive control (CC) task in recent onset patients to test the hypothesis that at a behavioral and underlying neural circuitry level these deficits exist on a continuum (as opposed to showing categorical differences) across the two disorders. In total, 53 healthy controls, 24 recent (<1 y) onset patients with BPD Type I with psychotic features, and 70 recent onset patients with SZ performed the AX-Continuous Performance Task while undergoing event-related fMRI at 1.5 T. In addition to behavior task-associated response was examined in frontoparietal regions-of-interest. In an a priori contrast-based analysis, significant deficits across patient groups (vs controls) were observed on CC-associated performance as well as frontoparietal response. These analyses further revealed a continuum of deficits in which BPD showed intermediate levels of CC relative to controls and SZ. Poor CC was associated with poverty and disorganization symptoms across patient groups. These results support the hypothesis that CC dysfunction in BPD and SZ reflects a continuum of deficits that cuts across traditional, DSM-based classification. Implications for the neurobiology of these diseases are discussed.

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Figures

Figure 1
Figure 1
Plot of individual d-prime context scores for each diagnostic group on the AX-CPT. Straight line represents the slope of the linear contrast HC>BPD>SZ.
Figure 2
Figure 2
Left: Statistical parametric t map of task-associated BOLD response demonstrating significant linear trends (HC>BPD>SZ directional contrast) on DLPFC and SPC signal. Map masked by a whole brain gray matter mask and thresholded at whole-brain voxelwise p<0.001, k>50 voxels for visualization purposes. Map displayed in the neurologic convention (R on R). Top Right: Plot of individual task-associated BOLD response (beta weights) within the bilateral DLPFC ROI for each diagnostic group. Straight line represents the slope of the linear contrast HC>BPD>SZ. Bottom Right: Plot of task-associated BOLD response (beta weights) within the bilateral SPC ROI for each diagnostic group. Straight line represents the slope of the linear contrast HC>BPD>SZ.
Figure 3
Figure 3
Associations between lower d-prime context (group-adjusted z-scores) and disorganization (group-adjusted z-scores) (top) and poverty (group-adjusted z-scores) (bottom) across patient groups. Subjects are color-coded by group for visualization purposes.

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