Syntactic structure building in the anterior temporal lobe during natural story listening

The neural basis of syntax is a matter of substantial debate. In particular, the inferior frontal gyrus (IFG), or Broca’s area, has been prominently linked to syntactic processing, but the anterior temporal lobe has been reported to be activated instead of IFG when manipulating the presence of syntactic structure. These findings are difficult to reconcile because they rely on different laboratory tasks which tap into distinct computations, and may only indirectly relate to natural sentence processing. Here we assessed neural correlates of syntactic structure building in natural language comprehension, free from artificial task demands. Subjects passively listened to Alice in Wonderland during functional magnetic resonance imaging and we correlated brain activity with a word-by-word measure of the amount syntactic structure analyzed. Syntactic structure building correlated with activity in the left anterior temporal lobe, but there was no evidence for a correlation between syntactic structure building and activity in inferior frontal areas. Our results suggest that the anterior temporal lobe computes syntactic structure under natural conditions.     

Applicability of a cognitive model of worry to children and adolescents

BackgroundIntolerance of uncertainly (IU), cognitive avoidance (CA) and positive beliefs about worry (PB) independently predict worry frequency in older adolescents and adults, and when targeted together in treatment produce significant reductions in both worry and anxiety in this age range. The present study addresses a gap in the literature by testing whether a cognitive model of excessive worry and anxiety incorporating these process variables is applicable to children and adolescents.MethodPrimary and secondary school students (n = 515; aged 7–19 years) completed modified self-report measures of worry frequency, anxiety, IU, CA and PB and a path analysis undertaken to test whether IU was a higher order variable for CA and PB and whether the relationship between IU/CA/PB and anxiety was mediated by worry frequency.ResultsSignificant (bivariate) correlations were observed between the measures of IU, PB, CA, worry and anxiety across the age range. However separate path models had to be fitted for children (aged 7–12 years) and adolescents (aged 13–19) with PB being dropped from the child model. CA was related to anxiety only through worry in children while IU showed direct paths to worry and anxiety in both children and adolescents.ConclusionsCognitive models of persistent worry in adults and older adolescents may, with some modification, have applicability to children. Further testing and refinement of these cognitive models of worry may lead to improvements in existing treatments for anxious youth.     

Evidence for multiple routes in learning to read

We describe a multiple-route model of reading development in which coarse-grained orthographic processing plays a key role in optimizing access to semantics via whole-word orthographic representations. This forms part of the direct orthographic route that gradually replaces phonological recoding during the initial phases of reading acquisition. The model predicts distinct developmental trajectories for pseudo-homophone and transposed-letter effects - two benchmark phenomena associated with phonological recoding and coarse-grained orthographic processing, respectively. Pseudo-homophone effects should decrease over the first years of reading acquisition, whereas transposed-letter effects should initially increase. These predictions were tested in a lexical decision task with 334 children in grades 1-5, and 29 skilled adult readers. In line with the predictions, we found that the pseudo-homophone effect diminished as reading level increased, whereas the transposed-letter effect first increased and then diminished.     

How to say "no" to a nonword: a leaky competing accumulator model of lexical decision

We describe a leaky competing accumulator (LCA) model of the lexical decision task that can be used as a response/decision module for any computational model of word recognition. The LCA model uses evidence for a word, operationalized as some measure of lexical activity, as input to the YES decision node. Input to the NO decision node is simply a constant value minus evidence for a word. In this way, evidence for a nonword is a function of time from stimulus onset (as in standard deadline models) modulated by lexical activity via the competitive dynamics of the LCA. We propose a simple mechanism for determining the value of this constant online during the first trials of a lexical decision experiment, such that the model can rapidly optimize speed and accuracy in discriminating words from nonwords. Further optimization is achieved via trial-by-trial adjustments in response criteria as a function of task demands and list context. We show that the LCA model can simulate mean response times and response distributions for correct and incorrect YES and NO decisions for a number of benchmark experiments that have been shown to be fatal for deadline models of lexical decision. Finally, using lexical activity calculated by a computational model of word recognition as input to the LCA decision module, we provide the first item-level simulation of both word and nonword responses in a large-scale database.     

The Role of Structure Versus Individual Agency in Churches�� Responses to HIV/AIDS: A Case Study of Baltimore City Churches

This paper examines the activities of churches in Baltimore, Maryland, concerning the issues of sexuality, whether they potentially stigmatize persons with or at risk for HIV/AIDS, and to what extent individual agency versus institutional forces influence churches in this regard. In-depth interviews were conducted with 20 leaders from 16 churches and analyzed using a grounded theory methodology. Although many churches were involved in HIV/AIDS-related activities, the content of such initiatives was sometimes limited due to organizational constraints. Church leaders varied, however, in the extent to which they responded in accordance with or resisted these constraints, highlighting the importance of individual agency influencing churches?? responses to HIV/AIDS.     

When two become one: Temporally dynamic integration of the face and voice

In everyday interactions with others, people have to deal with the sight of a face and sound of a voice at the same time. How the perceptual system brings this information together over hundreds of milliseconds to perceive others remains unclear. In 2 studies, we investigated how facial and vocal cues are integrated during real-time social categorization by recording participants' hand movements (via the streaming x, y coordinates of the computer mouse) en route to “male” and “female” responses on the screen. Participants were presented with male and female faces that were accompanied by a same-sex voice morphed to be either sex-typical (e.g., masculinized male voice) or sex-atypical (i.e., feminized male voice). Before settling into ultimate sex categorizations of the face, the simultaneous processing of a sex-atypical voice led the hand to be continuously attracted to the opposite sex-category response across construal. This is evidence that ongoing results from voice perception continuously influence face perception across processing. Thus, social categorization involves dynamic updates of gradual integration of the face and voice.     

Reading aloud: New evidence for contextual control over the breadth of lexical activation

Computational accounts of reading aloud largely ignore context when stipulating how processing unfolds. One exception to this state of affairs proposes adjusting the breadth of lexical knowledge in such models in response to differing contexts. Three experiments and corresponding simulations, using Coltheart, Rastle, Perry, Langdon, and Ziegler’s (2001) dual-route cascaded model, are reported. This work investigates a determinant of when a pseudohomophone such as brane is affected by the frequency of the word from which it is derived (e.g., the base word frequency of brain) by examining performance under conditions where it is read aloud faster than a nonword control such as frane. Reynolds and Besner’s (2005a) lexical breadth account makes the novel prediction that when a pseudohomophone advantage is seen, there will also be a base word frequency effect, provided exception words are also present. This prediction was confirmed. Five other accounts of this pattern of results are considered and found wanting. It is concluded that the lexical breadth account provides the most parsimonious account to date of these and related findings.     

Selective responses to threat: the roles of race and gender in decisions to shoot

Extensive work over the past decade has shown that race can bias perceptions and responses to threat. However, the previous work focused almost exclusively on responses to men and overlooked how gender and the interaction of race and gender influence decisions regarding use of force. In the current article, two studies examine the implications of gender (Study 1) and both race and gender (Study 2) for decisions to shoot criminal suspects on a computerized simulation. In Study 1, participants were biased away from shooting White female suspects compared to White male suspects. In Study 2, White participants showed a pronounced bias toward shooting Black men but a bias away from shooting Black women and White ingroup members, providing evidence of a behavioral threat-related response specific to outgroup men stereotypically associated with aggression. The theoretical and practical implications of these findings are discussed.     

Does Anxiety Improve Voters' Decision Making?

Affective Intelligence (AI) theory proposes to answer a fundamental question about democracy: how it succeeds even though most citizens pay little attention to politics. AI contends that, when circumstances generate sufficient anxiety, citizens make informed and thoughtful political decisions. In Ladd and Lenz (2008 ), we showed that two simpler depictions of anxiety's role can explain the vote interactions that apparently support AI. Here, we again replicate Marcus, Neuman and MacKuen's (2000 )'s voting model, which they contend supports AI, and again show that it is vulnerable to these alternative explanations, regardless of how candidate choice is measured. We also briefly review the broader literature and discuss Brader's (2005, 2006 ) important experimental results. Although the literature undoubtedly supports other aspects of AI, few studies directly test AI's voting claims, which were the focus of our reassessment. In our view, the only study that does so while ruling out the two alternatives is our analysis of the 1980 ANES Major Panel ( Ladd & Lenz, 2008 ), which finds no support for AI, but ample support for the alternatives. None of the responses to Ladd and Lenz (2008 ) addresses these findings. Overall, evidence that anxiety helps solve the problem of voter competence remains sparse and vulnerable to alternative explanations.