Gina M. Najolia
Louisiana State University
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Featured researches published by Gina M. Najolia.
Journal of Personality Disorders | 2010
Alex S. Cohen; Russell A. Matthews; Gina M. Najolia; Laura A. Brown
Psychometric case identification of individuals at risk for developing schizophrenia-spectrum disorders is an important enterprise. Unfortunately, current instruments for this purpose are limited. The present studies sought to improve the Schizotypal Personality Questionnaire-Brief (SPQ-Brief), a measure of schizotypal traits that has come under recent criticism. In the first study, we conducted exploratory factor analysis on the SPQ-Brief using a Likert-style scoring format in a large sample of nonclinical adults. Although acceptable internal consistency was found, the original factor structure was not supported. In the second study, we administered the full version of the SPQ to a separate large nonclinical adult sample and employed exploratory and confirmatory factor analysis to identify critical items that could be used to revise the SPQ-Brief. The end product of these studies is the SPQ-Brief Revised, which offers a subordinate seven-factor and super-ordinate three or four factor solution, employs a Likert-scale format to improve sensitivity, and is brief (34 items).
Journal of Abnormal Psychology | 2012
Alex S. Cohen; Dallas A. Callaway; Gina M. Najolia; Jeff T. Larsen; Gregory P. Strauss
Anhedonia, defined as dysfunction in the experience of pleasant emotions, is a hallmark symptom of the schizophrenia spectrum. Of interest, it is well documented that patients with schizophrenia, at least as a group, do not show reductions in their state experience of pleasant stimuli. However, there is emerging evidence to suggest that individuals with schizotypy--defined as the personality organization reflecting the latent vulnerability for schizophrenia--do show these state deficits. This is paradoxical in that schizophrenia reflects a more pathological state in virtually every conceivable domain as compared with schizotypy. The present study examined self-reported affective reactions to neutral-, bad-, and good-valenced stimuli in individuals with psychometrically defined schizotypy and schizophrenia. Two separate control groups were also included, comprising psychometrically defined controls and stable outpatients with affective disorders. With no exceptions, the schizotypy group reported significantly less pleasant affect for each of the three conditions than each of the other groups. Conversely, the schizophrenia group did not statistically differ from the control groups for any of the conditions. Within both the schizotypy and schizophrenia groups, severity of negative symptoms/traits was associated with less pleasant report. We found that individuals with prominent negative symptoms and traits from the schizophrenia and schizotypy groups resembled each other in terms of state anhedonia. The present findings did not appear to reflect comorbid depression or anxiety. Our discussion centers on this apparent paradox in the schizophrenia spectrum--that individuals with schizotypy exhibit state anhedonia, whereas patients with schizophrenia do not.
Behavior Research Methods | 2009
Alex S. Cohen; Kyle S. Minor; Gina M. Najolia; S. Lee Hong
Despite dramatic advances in the sophistication of tools for measuring prosodic and content channels of expression from natural speech, methodological issues have limited the simultaneous measurement of those channels for laboratory research. This is particularly unfortunate, considering the importance of emotional expression in daily living and how it can be disrupted in many psychological disorders (e.g., schizophrenia). The present study examined the Computerized assessment of Affect from Natural Speech (CANS), a laboratory-based procedure that was designed to measure both lexical and prosodic expression from natural speech across a range of evocative conditions. The verbal responses of 38 male and 31 female subjects were digitally recorded as they reacted to separate pleasant, unpleasant, and neutral stimuli. Lexical and prosodic expression variables significantly changed across these conditions, providing support for using the CANS in further laboratory research. The implications for understanding the interface between lexical and prosodic expressions are also discussed.
Schizophrenia Research | 2012
Alex S. Cohen; Gina M. Najolia; Yunjung Kim; Thomas J. Dinzeo
There is growing awareness that reduced expressive behaviors (e.g., blunt affect, alogia, psychomotor retardation) are characteristic of a range of psychiatric conditions, including mood and schizophrenia-spectrum disorders. From a Research Domain Criteria (RDoC) perspective, it would be critical to determine whether these symptoms manifest similarly across diagnostic groups--as they may share common pathophysiological underpinnings. The present study employed computerized acoustic analysis of speech produced in reaction to a range of visual stimuli in 48 stable outpatients with schizophrenia and mood disorders to offer preliminary understanding of this issue. Speaking assessments were administered 1 week-apart to examine how temporal stability might vary as a function of clinical diagnosis and symptom severity. Speech characteristics generally did not differ between groups and were similarly, and for the most part, highly stable over time. Aspects of speech were significantly associated with severity of psychosis and negative symptoms, but not with clinical depression/anxiety severity. Moreover, stability of speech characteristics generally did not vary as a function of diagnostic group or clinical severity. The magnitudes of group differences were almost exclusively in the negligible to small range. Speech production was associated with social functioning deficits. In sum, these preliminary data suggest that speech variables tap a stable and clinically important facet of psychopathology that cut across diagnostic categories. Computerized acoustic analysis of speech appears to be a promising method for understanding the pathological manifestation of these variables.
Schizophrenia Research | 2013
Alex S. Cohen; Yunjung Kim; Gina M. Najolia
Diminished expressivity is a poorly understood, but important construct for a range of mental diseases. In the present study, we employed computerized acoustic analysis of natural speech to understand diminished expressivity in patients with schizophrenia and mood disorders. We were interested in the degree to which speech characteristics tapping alogia (i.e., average pause duration) and blunted affect (i.e., prosody computed from fundamental frequency and intensity) reflected psychiatric symptoms (i.e., depression, anxiety, paranoia and bizarre behavior) versus neurocognitive deficits. Twenty-six subjects with schizophrenia and 22 subjects with mood disorders provided speech samples in response to a variety of laboratory stimuli and completed neuropsychological batteries assessing a range of abilities. For both the schizophrenia and mood disorder groups, attentional coding deficits were significantly correlated with increased pause time (at large effect size levels) and, for the schizophrenia group only, reduced prosody (also at a large effect size level). For the mood disorder but not the schizophrenia group, increased average pause time was also significantly associated with neurocognitive deficits on a range of other tests (medium to large effect size levels). Psychiatric symptoms were not significantly associated with speech characteristics for either group (generally, negligible effect sizes). These results suggest that there is a link between expressivity and neurocognitive dysfunctions for both patients with schizophrenia and mood disorders. Implications and future research directions are discussed.
Psychiatry Research-neuroimaging | 2012
Gina M. Najolia; Julia D. Buckner; Alex S. Cohen
Emerging research suggests that cannabis use might be related to psychosis onset in people vulnerable to developing schizophrenia-spectrum disorders. Furthermore, individuals with high-positive and disorganized schizotypy traits report more cannabis use and cannabis-related problems than controls. Social anxiety, a frequently co-occurring schizotypal feature, is related to increased cannabis-related problems in the general population. Building on this research, we explored the impact of social anxiety, measured by the Social Interaction Anxiety Scale (SIAS), and depression and trait anxiety reported on the Brief Symptom Inventory (BSI), on the relationship of schizotypy, measured by the Schizotypy Personality Questionnaire-Brief Revised (SPQ-BR), to cannabis use (n=220 schizotypy, 436 controls) and frequent use and cannabis-related problems among users (n=88 schizotypy, 83 controls) in college undergraduates. Among cannabis users, social anxiety moderated the relationships of schizotypy to frequent cannabis use and more cannabis-related problems in the total schizotypy group, and across high-positive, negative, and disorganized schizotypy subgroups. Depression and trait anxiety also moderated the relationship of schizotypy to frequent cannabis use and more cannabis-related problems, but results varied across high-positive, negative, and disorganized schizotypy subgroups. Results suggest therapeutically targeting negative affective states may be useful in psychosocial intervention for cannabis-related problems in schizotypy.
Clinical Psychology Review | 2011
Alex S. Cohen; Gina M. Najolia; Laura A. Brown; Kyle S. Minor
Journal of Psychiatric Research | 2011
Alex S. Cohen; Gina M. Najolia
Journal of Psychiatric Research | 2011
Alex S. Cohen; Julia D. Buckner; Gina M. Najolia; Diana W. Stewart
Psychiatry Research-neuroimaging | 2010
Alex S. Cohen; Kyle S. Minor; Gina M. Najolia