Biomedical subjects

Jill Goldstein

Publications and source records attributed to Jill Goldstein.

3 recordsLinked to original sources

PubMed2005

Gender and trauma as predictors of military attrition: a study of Marine Corps recruits.

Recent studies have shown high rates of premilitary trauma exposure among U.S. military enlistees. Given the association of trauma with later stressor vulnerability, it is important to examine the role of premilitary stress and trauma in adaptation to the stress of recruit training. U.S. Marine Corps recruits (N = 1,530) were surveyed for premilitary histories of interpersonal trauma to examine the relationship between premilitary trauma and attrition from recruit training. The majority of the recruits (47.5% of men and 68.1% of women) reported experiencing at least one interpersonal trauma before entering the Marine Corps. Individuals with a history of interpersonal trauma were at significantly greater risk for attrition; they were 1.5 times more likely to drop out of recruit training than were individuals without a trauma history. These findings suggest that developing interventions to bolster recruits' coping skills may improve adaptation to the recruit training environment and thus decrease attrition.

Adaptation, Psychological↗

PubMed2004

Automatically parcellating the human cerebral cortex.

We present a technique for automatically assigning a neuroanatomical label to each location on a cortical surface model based on probabilistic information estimated from a manually labeled training set. This procedure incorporates both geometric information derived from the cortical model, and neuroanatomical convention, as found in the training set. The result is a complete labeling of cortical sulci and gyri. Examples are given from two different training sets generated using different neuroanatomical conventions, illustrating the flexibility of the algorithm. The technique is shown to be comparable in accuracy to manual labeling.

Algorithms↗

PubMed2003

Structural brain abnormalities among relatives of patients with schizophrenia: implications for linkage studies.

Several studies suggest that the nonschizophrenic relatives of schizophrenic patients exhibit structural brain abnormalities that may be manifestations of genes that predispose to schizophrenia. In this work, we examine the utility of such measures for linkage analyses. Subjects were 45 nonpsychotic first-degree adult relatives of schizophrenic patients and 48 normal controls. Sixty contiguous 3-mm coronal, T1-weighted 3D magnetic resonance images of the entire brain were acquired on a 1.5-T magnet. We used factor analysis to derive MRI-based phenotypes for analysis. The factor analyses produced three factors that significantly discriminated relatives from controls. We used a linear combination of the three factor scores to derive an MRI phenotype. A receiver operating characteristic (ROC) analysis of this phenotype estimated an area under the curve (AUC) statistic of 0.85. The phenotype also discriminated nonpsychotic relatives having two schizophrenic relatives from those having only one. The nonpsychotic relatives of schizophrenic patients show deviant values on MRI measures of brain structure and the distribution of these deviations among relatives and controls suggests that if these results can be replicated, an MRI-derived phenotype could be useful for genetic linkage and association analyses.

Adult↗