Amygdalofrontal Functional Disconnectivity and Aggression in Schizophrenia

Division of Clinical Research, Nathan Kline Institute, 140 Old Orangeburg Road, Orangeburg, NY 10962, USA.
Schizophrenia Bulletin (Impact Factor: 8.45). 04/2009; 36(5):1020-8. DOI: 10.1093/schbul/sbp012
Source: PubMed


A significant proportion of patients with schizophrenia demonstrate abnormalities in dorsal prefrontal regions including the dorsolateral prefrontal and dorsal anterior cingulate cortices. However, it is less clear to what extent abnormalities are exhibited in ventral prefrontal and limbic regions, despite their involvement in social cognitive dysfunction and aggression, which represent problem domains for patients with schizophrenia. Previously, we found that reduced white matter integrity in right inferior frontal regions was associated with higher levels of aggression. Here, we used resting-state functional magnetic resonance imaging to examine amygdala/ventral prefrontal cortex (vPFC) functional connectivity (FC) and its relation to aggression in schizophrenia. Twenty-one healthy controls and 25 patients with schizophrenia or schizoaffective disorder participated. Aggression was measured using the Buss Perry Aggression Questionnaire. Regions of interest were placed in the amygdala based on previously published work. A voxelwise FC analysis was performed in which the mean time series across voxels for this bilateral amygdala seed was entered as a predictor in a multiple regression model with motion parameters and global, cerebrospinal fluid, and white matter signals as covariates. Patients showed significant reductions in FC between amygdala and vPFC regions. Moreover, in patients, the strength of this connection showed a significant inverse relationship with aggression, such that lower FC was associated with higher levels of self-rated aggression. Similar results were obtained for 2 other measures--Life History of Aggression and total arrests. These results suggest that amygdala/vPFC FC is compromised in schizophrenia and that this compromise is associated with aggression.

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    • "cate high average to very high aggression , for which the percentile range is 72% . Thus , 28% or less of the normal population have trait aggression . The AQ is one of the most widely accepted measures of aggression for many populations , including TBI ( Dyer et al . , 2006 ; Greve et al . , 2001 ; Holtzworth - Munroe , Rehman , & Herron , 2000 ; Hoptman et al . , 2009 ; Palmer & Thakordas , 2005 ) . It is demonstrated to have good test – retest reliability ( . 72 – . 80 ) and internal consistency ( . 76 – . 94 ; Buss & Perry , 1992 ) ."

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    • "Impulsivity in ADHD is thought to manifest at the motor level through hyperactivity (Rubia, 2002). Much less is known about impulsivity in schizophrenia, though it is associated with comorbid substance use and aggression (Hoptman et al., 2010). It is possible that links between ADHD and psychosis might be drug-related effects, whether through prescription or abuse. "

    Full-text · Article · Mar 2015 · European Psychiatry
    • "Methodologically, seed-based functional connectivity analysis (Biswal et al. 1995) allowed us to examine the resting state and task-related networks originating from a priori-defined brain regions based on the group activation peaks during speech production. Seed-based analysis was chosen over independent component analysis (ICA) because the latter is a fully data-driven approach not requiring an a priori choice of a seed region and yielding network components not restricted to specified brain regions (e.g., seeds) or behaviors (e.g., the left fronto-parietal component in resting-state data may encompasses both memory and language networks) (Hoptman et al. 2010; Smith et al. 2009). We hypothesized that individual functional networks from different brain regions controlling speech production would form a shared common network, which would have a pattern topographically similar to the underlying shared resting-state network (RSN) (Biswal et al. 1995; Smith et al. 2009). "
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    ABSTRACT: Speech production is one of the most complex human behaviors. While brain activation during speaking has been well investigated, our understanding of interactions between the brain regions and neural networks remains scarce. We combined seed-based inter-regional correlation analysis with graph theoretical analysis of functional MRI data during resting and sentence production in healthy subjects to investigate the interface and topology of functional networks originating from the key brain regions controlling speech, i.e., the laryngeal/orofacial motor cortex, inferior frontal and superior temporal gyri, supplementary motor area, cingulate cortex, putamen and thalamus. During both resting and speaking, the interactions between these networks were bilaterally distributed and centered on the sensorimotor brain regions. However, speech production preferentially recruited the inferior parietal lobule (IPL) and cerebellum into large-scale network, suggesting the importance of these regions in facilitation of the transition from the resting state to speaking. Furthermore, the cerebellum (lobule VI) was the most prominent region showing functional influences on speech network integration and segregation. While networks were bilaterally distributed, inter-regional connectivity during speaking was stronger in the left vs. right hemisphere, which may have underlined a more homogeneous overlap between the examined networks in the left hemisphere. Among these, the laryngeal motor cortex (LMC) established a core network that fully overlapped with all other speech-related networks, determining the extent of network interactions. Our data demonstrate complex interactions of large-scale brain networks controlling speech production and point to the critical role of the LMC, IPL and cerebellum in the formation of speech production network. Copyright © 2014, Journal of Neurophysiology.
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