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Dive into the research topics where James M. Broadway is active.

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Featured researches published by James M. Broadway.


Memory | 2009

Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage

Nash Unsworth; Thomas S. Redick; Richard P. Heitz; James M. Broadway; Randall W. Engle

Complex span tasks, assumed by many to measure an individuals working memory capacity, are predictive of several aspects of higher-order cognition. However, the underlying cause of the relationships between “processing-and-storage” tasks and cognitive abilities is still hotly debated nearly 30 years after the tasks were first introduced. The current study utilised latent constructs across verbal, numerical, and spatial content domains to examine a number of questions regarding the predictive power of complex span tasks. In particular, the relations among processing time, processing accuracy, and storage accuracy from the complex span tasks were examined, in combination with their respective relationships with fluid intelligence. The results point to a complicated pattern of unique and shared variance among the constructs. Implications for various theories of working memory are discussed.


Brain and Cognition | 2008

Air Pollution, Cognitive Deficits and Brain Abnormalities: A Pilot Study with Children and Dogs.

Lilian Calderón-Garcidueñas; Antonieta Mora-Tiscareño; Esperanza Ontiveros; Gilberto Gómez-Garza; Gerardo Barragán-Mejía; James M. Broadway; Susan Chapman; Gildardo Valencia-Salazar; Valerie Jewells; Robert R. Maronpot; Carlos Henríquez-Roldán; Beatriz Pérez-Guillé; Ricardo Torres-Jardón; Lou Herrit; Diane M. Brooks; Norma Osnaya-Brizuela; Maria E. Monroy; Angélica González-Maciel; Rafael Reynoso-Robles; Rafael Villarreal-Calderon; Anna C. Solt; Randall W. Engle

Exposure to air pollution is associated with neuroinflammation in healthy children and dogs in Mexico City. Comparative studies were carried out in healthy children and young dogs similarly exposed to ambient pollution in Mexico City. Children from Mexico City (n: 55) and a low polluted city (n:18) underwent psychometric testing and brain magnetic resonance imaging MRI. Seven healthy young dogs with similar exposure to Mexico City air pollution had brain MRI, measurement of mRNA abundance of two inflammatory genes cyclooxygenase-2, and interleukin 1 beta in target brain areas, and histopathological evaluation of brain tissue. Children with no known risk factors for neurological or cognitive disorders residing in a polluted urban environment exhibited significant deficits in a combination of fluid and crystallized cognition tasks. Fifty-six percent of Mexico City children tested showed prefrontal white matter hyperintense lesions and similar lesions were observed in dogs (57%). Exposed dogs had frontal lesions with vascular subcortical pathology associated with neuroinflammation, enlarged Virchow-Robin spaces, gliosis, and ultrafine particulate matter deposition. Based on the MRI findings, the prefrontal cortex was a target anatomical region in Mexico City children and its damage could have contributed to their cognitive dysfunction. The present work presents a groundbreaking, interdisciplinary methodology for addressing relationships between environmental pollution, structural brain alterations by MRI, and cognitive deficits/delays in healthy children.


Behavior Research Methods | 2010

Validating running memory span: measurement of working memory capacity and links with fluid intelligence.

James M. Broadway; Randall W. Engle

We manipulated running memory span tasks to examine effects on recall and relations with criterion measures of working memory capacity and general fluid intelligence. The goal of the manipulations was to limit or enhance opportunities for active input processing and response preparation in advance of test. We manipulated presentation rate in Experiment 1. Recall was higher at slow than at fast rates, but correlations with criterion measures were much the same across rate conditions. In Experiment 2, we manipulated the time at which the number of items to report was made known to the participants. They were given that information in advance (precue) or at test (postcue). Recall scores and correlations with criterion measures were much the same across cuing conditions. We conclude that running memory span provides valid measurement of working memory capacity that is predictive of higher order cognition across a wide range of conditions.


Neuropsychopharmacology | 2012

Frontal Theta Cordance Predicts 6-Month Antidepressant Response to Subcallosal Cingulate Deep Brain Stimulation for Treatment-Resistant Depression: A Pilot Study

James M. Broadway; Paul E. Holtzheimer; Matthew R. Hilimire; Nathan A. Parks; Jordan E. DeVylder; Helen S. Mayberg; Paul M. Corballis

Deep brain stimulation (DBS) of subcallosal cingulate white matter (SCC) may be an effective approach for treatment-resistant depression (TRD) that otherwise fails to respond to more conventional therapies, but DBS is invasive, costly, and has potential for adverse effects. Therefore, it is important to identify potential biomarkers for predicting antidepressant response before intervention. Resting-state EEG was recorded from 12 TRD patients at pre-treatment baseline, after 4 weeks SCC DBS, and after 24 weeks SCC DBS. Lower frontal theta cordance (FTC) at baseline (and higher FTC after 4 weeks) predicted lower depression severity scores after 24 weeks. Greater FTC increases (baseline–4 weeks) predicted greater decreases in depression severity scores subsequently (4–24 weeks) and over the course of the study (baseline–24 weeks). Predictive relationships were topographically specific to theta cordance for frontal electrodes. Thus, results from this pilot study suggest that baseline FTC and changes early in treatment each have utility as biomarkers for predicting 6-month clinical response to SCC DBS for TRD.


Quarterly Journal of Experimental Psychology | 2013

Window to the wandering mind: Pupillometry of spontaneous thought while reading

Michael S. Franklin; James M. Broadway; Michael D. Mrazek; Jonathan Smallwood; Jonathan W. Schooler

Mind-wandering is both pervasive and detrimental to task performance. As such, identifying covert physiological measures that are associated with this off-task state could inform theories of mind-wandering and lead to interventions that improve task focus. Although previous work suggests that pupil dilation (PD) may vary between on- and off-task states, no studies have examined whether PD systematically varies within a subject as they report becoming disengaged from a task—a key step in developing useful mind-wandering prediction algorithms. In the present study, PD was measured while participants advanced through a passage one word at a time. Spontaneous mind-wandering was assessed during reading using standard thought probe methodology. Results revealed higher PD prior to off-task than prior to on-task reading. This newly discovered relationship between momentary fluctuations of attention and PD offers promise for future innovations that use these systematic changes in PD to predict and better control mind-wandering.


Frontiers in Psychology | 2013

Young and restless: validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth

Michael D. Mrazek; Dawa T. Phillips; Michael S. Franklin; James M. Broadway; Jonathan W. Schooler

Mind-wandering is the focus of extensive investigation, yet until recently there has been no validated scale to directly measure trait levels of task-unrelated thought. Scales commonly used to assess mind-wandering lack face validity, measuring related constructs such as daydreaming or behavioral errors. Here we report four studies validating a Mind-Wandering Questionnaire (MWQ) across college, high school, and middle school samples. The 5-item scale showed high internal consistency, as well as convergent validity with existing measures of mind-wandering and related constructs. Trait levels of mind-wandering, as measured by the MWQ, were correlated with task-unrelated thought measured by thought sampling during a test of reading comprehension. In both middle school and high school samples, mind-wandering during testing was associated with worse reading comprehension. By contrast, elevated trait levels of mind-wandering predicted worse mood, less life-satisfaction, greater stress, and lower self-esteem. By extending the use of thought sampling to measure mind-wandering among adolescents, our findings also validate the use of this methodology with younger populations. Both the MWQ and thought sampling indicate that mind-wandering is a pervasive—and problematic—influence on the performance and well-being of adolescents.


Psychology of Learning and Motivation | 2014

The Middle Way: Finding the Balance between Mindfulness and Mind-Wandering

Jonathan W. Schooler; Michael D. Mrazek; Michael S. Franklin; Benjamin Baird; Benjamin W. Mooneyham; Claire M. Zedelius; James M. Broadway

Abstract Mind-wandering is a common everyday experience in which attention becomes disengaged from the immediate external environment and focused on internal trains of thought. This chapter reviews progress in the study of mind-wandering and its manifold effects on cognition and affect. After summarizing key recent advances in the study of mind-wandering, we focus on three fundamentally practical questions: (1) What are the costs of mind-wandering for cognition and affect? (2) Is it possible to reduce mind-wandering with practices aimed at enhancing mindfulness? (3) What are some possible benefits of mind-wandering that may help to mitigate its costs? This chapter leads to the endorsement of a “middle way” approach to mind-wandering: though it may be useful to cultivate practices for overcoming some of mind-wanderings more disruptive consequences, we should not seek to eliminate it entirely, as it can offer some unique benefits when carried out at the appropriate times.


Brain Stimulation | 2015

Effects of Subcallosal Cingulate Deep Brain Stimulation on Negative Self-bias in Patients With Treatment-resistant Depression

Matthew R. Hilimire; Helen S. Mayberg; Paul E. Holtzheimer; James M. Broadway; Nathan A. Parks; Jordan E. DeVylder; Paul M. Corballis

BACKGROUND The cognitive neuropsychological model states that antidepressant treatment alters emotional biases early in treatment, and after this initial change in emotional processing, environmental and social interactions allow for long-term/sustained changes in mood and behavior. OBJECTIVE Changes in negative self-bias after chronic subcallosal cingulate (SCC) deep brain stimulation (DBS) were investigated with the hypothesis that treatment would lead to changes in emotional biases followed by changes in symptom severity. METHODS Patients (N = 7) with treatment-resistant depression were assessed at three time points: pre-treatment; after one month stimulation; and after six months stimulation. The P1, P2, P3, and LPP (late positive potential) components of the event-related potential elicited by positive and negative trait adjectives were recorded in both a self-referential task and a general emotion recognition task. RESULTS Results indicate that DBS reduced automatic attentional bias toward negative words early in treatment, as indexed by the P1 component, and controlled processing of negative words later in treatment, as indexed by the P3 component. Reduction in negative words endorsed as self-descriptive after six months DBS was associated with reduced depression severity after six months DBS. Change in emotional processing may be restricted to the self-referential task. CONCLUSIONS Together, these results suggest that the cognitive neuropsychological model, developed to explain the time-course of monoamine antidepressant treatment, may also be used as a framework to interpret the antidepressant effects of SCC DBS.


PLOS ONE | 2011

Individual differences in working memory capacity and temporal discrimination.

James M. Broadway; Randall W. Engle

Temporal judgment in the milliseconds-to-seconds range depends on consistent attention to time and robust working memory representation. Individual differences in working memory capacity (WMC) predict a wide range of higher-order and lower-order cognitive abilities. In the present work we examined whether WMC would predict temporal discrimination. High-WMC individuals were more sensitive than low-WMC at discriminating the longer of two temporal intervals across a range of temporal differences. WMC-related individual differences in temporal discrimination were not eliminated by including a measure of fluid intelligence as a covariate. Results are discussed in terms of attention, working memory and other psychological constructs.


Biological Psychology | 2015

Early event-related brain potentials and hemispheric asymmetries reveal mind-wandering while reading and predict comprehension

James M. Broadway; Michael S. Franklin; Jonathan W. Schooler

The electroencephalogram (EEG) of mind-wandering (MW) was examined in event-related potentials (ERPs) and pre-stimulus alpha (8-12 Hz), over lateral-posterior sites of left and right brain hemispheres, while individuals read text passages. After controlling for individual differences in general intelligence (g), P1-asymmetry was greater (right-minus- left) and N1 amplitudes were more negative, when individuals were not MW (i.e., they were reading attentively). Approximately 82% of variance in reading comprehension was accounted for by the predictors: g, pre-stimulus alpha, left- and right-hemisphere P1, and left-hemisphere N1 (when individuals were not MW). Together, individual differences in MW-sensitive ERPs uniquely accounted for approximately 38% of the variance in reading comprehension, over and above prediction by g and pre-stimulus alpha. The within-person effect of MW on P1-asymmetry was estimated to account for an additional 4.6% of criterion variance. Implications for EEG/ERP research into attention, language processing, hemispheric asymmetries, and individual differences are discussed.

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Randall W. Engle

Georgia Institute of Technology

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Benjamin Baird

University of California

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