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Latent volumetric structure of the human brain: Exploratory factor analysis and structural equation modeling of gray matter volumes in healthy children and adults

Colibazzi, Tiziano; Zhu, Hongtu; Bansal, Ravi; Schultz, Robert T; Wang, Zhishun; Peterson, Bradley S
Previous studies have investigated patterns of volumetric covariance (i.e. intercorrelation) among brain regions. Methodological issues, however, have limited the validity and generalizability of findings from these prior studies. Additionally, patterns of volumetric covariance have often been assumed to reflect the presence of structural networks, but this assumption has never been tested formally. We identified patterns of volumetric covariance, correlated these patterns with behavioral measures, and tested the hypothesis that the observed patterns of covariance reflect the presence of underlying networks. Specifically, we performed factor analysis on regional brain volumes of 99 healthy children and adults, and we correlated factor scores with scores on the Stroop Word-Color Interference Test. We identified four latent volumetric systems in each hemisphere: dorsal cortical, limbic, posterior, and basal ganglia. The positive correlation of the right posterior system with Stroop scores suggested that larger latent volumes are detrimental to inhibitory control. We also applied Structural Equation Modeling (SEM) to our dataset (n = 107) to test whether a model based on the anatomical pathways within cortico-striatal-thalamic-cortical (CSTC) circuits accounts for the covariances observed in our sample. The degree to which SEM predicted volumetric covariance in the CSTC circuit depended on whether we controlled for age and whole brain volume in the analyses. Removing the effects of age worsened the fit of the model, pointing to a possible developmental component in establishing connections within CSTC circuits. These modeling techniques may prove useful in the future for the study of structural networks in disease populations.
PMCID:2656433
PMID: 17935179
ISSN: 1065-9471
CID: 737832

An affective circumplex model of neural systems subserving valence, arousal, and cognitive overlay during the appraisal of emotional faces

Gerber, Andrew J; Posner, Jonathan; Gorman, Daniel; Colibazzi, Tiziano; Yu, Shan; Wang, Zhishun; Kangarlu, Alayar; Zhu, Hongtu; Russell, James; Peterson, Bradley S
Increasing evidence supports the existence of distinct neural systems that subserve two dimensions of affect--arousal and valence. Ten adult participants underwent functional magnetic resonance imaging during which they were presented a range of standardized faces and then asked, during the scan, to rate the emotional expressions of the faces along the dimensions of arousal and valence. Lower ratings of arousal accompanied greater activity in the amygdala complex, cerebellum, dorsal pons, and right medial prefrontal cortex (mPFC). More negative ratings of valence accompanied greater activity in the dorsal anterior cingulate (dACC) and parietal cortices. Extreme ratings of valence (highly positive and highly negative ratings) accompanied greater activity in the temporal cortex and fusiform gyrus. Building on an empirical literature which suggests that the amygdala serves as a salience and ambiguity detector, we interpret our findings as showing that a face rated as having low arousal is more ambiguous and a face rated as having extreme valence is more personally salient. This explains how both low arousal and extreme valence lead to greater activation of an ambiguity/salience system subserved by the amygdala, cerebellum, and dorsal pons. In addition, the right medial prefrontal cortex appears to down-regulate individual ratings of arousal, whereas the fusiform and related temporal cortices seem to up-regulate individual assessments of extreme valence when individual ratings are studied relative to group reference ratings for each stimulus. The simultaneous assessment of the effects of arousal and valence proved essential for the identification of neural systems contributing to the processing of emotional faces.
PMCID:2486369
PMID: 18440572
ISSN: 0028-3932
CID: 737812

Human immunodeficiency virus and depression in primary care: a clinical review

Colibazzi, Tiziano; Hsu, Teresa T; Gilmer, William S
Background: Human immunodeficiency virus (HIV)-infected individuals are at increased risk of developing depression. Depressive syndromes in these patients pose a challenge both diagnostically and therapeutically. These syndromes reflect both the presence of preexisting mood disorders and the development of depressive syndromes subsequent to HIV infection. Data Sources: A search of the literature to 2005 was performed using the PubMed and Ovid search engines. English- and Portuguese-language articles were identified using the following keywords: HIV or AIDS and depression, mental illness, suicide, fatigue, psychiatry, and drug interactions. Additional references were identified through bibliography reviews of relevant articles. Data Synthesis: The clinical presentation and differential diagnosis of depressive symptoms in HIV illness and the role of HIV in the development of these conditions are reviewed. Management issues including suicide assessment and treatment options are then discussed, and potentially important pharmacokinetic interactions are reviewed. Conclusions: Individuals with HIV show higher rates of depression. This phenomenon may be due to a preexisting psychiatric disorder or to the HIV infection. Untreated depression symptoms may lead to non-compliance with drug regimens or increased high-risk behaviors. Given the adverse sequelae of untreated depressions in HIV illness, identification and management of depression are integral components of comprehensive HIV care.
PMCID:1557477
PMID: 16964315
ISSN: 1523-5998
CID: 737842

A founder MLH1 mutation in families from the districts of Modena and Reggio-Emilia in northern Italy with hereditary non-polyposis colorectal cancer associated with protein elongation and instability

Caluseriu, O; Di Gregorio, C; Lucci-Cordisco, E; Santarosa, M; Trojan, J; Brieger, A; Benatti, P; Pedroni, M; Colibazzi, T; Bellacosa, A; Neri, G; Ponz de Leon, M; Viel, A; Genuardi, M
PMCID:1735717
PMID: 14985405
ISSN: 0022-2593
CID: 737852