Searched for: school:SOM
Department/Unit:Child and Adolescent Psychiatry
Evidence-based intervention in schools: Developers' views of implementation barriers and facilitators
Forman, Susan G; Olin, S. Serene; Hoagwood, Kimberly Eaton; Crowe, Maura; Saka, Noa
This study examined the factors that are important to successful implementation and sustainability of evidence-based interventions in school settings. Developers of interventions that have been designated as "evidence-based" in multiple vetted lists and registries available to schools participated in a structured interview. The interview focused on potential facilitators and barriers to implementation and sustainability of their intervention. The interviews were transcribed and coded to identify similarities and differences among the responses as well as themes that cut across participants. Results indicated that those concerned with effective implementation and sustainability need to address several areas: (a) development of principal and other administrator support; (b) development of teacher support; (c) development of financial resources to sustain practice; (d) provision of high-quality training and consultation to ensure fidelity; (e) alignment of the intervention with school philosophy, goals, policies, and programs; (f) ensuring that program outcomes and impact are visible to key stakeholders; and (g) development of methods for addressing turnover in school staff and administrators.
PSYCH:2010-05549-004
ISSN: 1866-2633
CID: 169202
Developing questions when the perfect instrument is not available
Chapter by: Horwitz, Sarah McCue; Hoagwood, Kimberly Eaton
in: The field research survival guide by Stiffman, Arlene Rubin [Eds]
New York : Oxford University Press, 2009
pp. ?-?
ISBN: 0195325524
CID: 169182
Implementation of evidence-based interventions in schools: Issues and challenges in social-emotional learning and mental health programs
Chapter by: Olin, S. Serene; Saka, Noa; Crowe, Maura; Forman, Susan G; Hoagwood, Kimberly Eaton
in: Implementing evidence-based academic interventions in school settings by Rosenfield, Sylvia; Berninger, Virginia [Eds]
New York, NY, US: Oxford University Press; US, 2009
pp. -
ISBN: 978-0-19-532535-5
CID: 169283
What is an anxiety disorder?
Craske, Michelle G; Rauch, Scott L; Ursano, Robert; Prenoveau, Jason; Pine, Daniel S; Zinbarg, Richard E
Initiated as part of the ongoing deliberation about the nosological structure of DSM, this review aims to evaluate whether the anxiety disorders share features of responding that define them and make them distinct from depressive disorders, and/or that differentiate fear disorders from anxious-misery disorders. The review covers symptom self-report as well as on-line indices of behavioral, physiological, cognitive, and neural responding in the presence of aversive stimuli. The data indicate that the anxiety disorders share self-reported symptoms of anxiety and fear; heightened anxiety and fear responding to cues that signal threat, cues that signal no threat, cues that formerly signaled threat, and contexts associated with threat; elevated stress reactivity to aversive stimuli; attentional biases to threat-relevant stimuli and threat-based appraisals of ambiguous stimuli; and elevated amygdala responses to threat-relevant stimuli. Some differences exist among anxiety disorders, and between anxiety disorders and depressive disorders. However, the differences are not fully consistent with proposed subdivisions of fear disorders vs. anxious misery disorders, and comparative data in large part are lacking. Given the high rates of co-morbidity, advances in our understanding of the features of responding that are shared across vs. unique to anxiety and depressive disorders will require dimensional approaches. In summary, the extant data help to define the features of responding that are shared across anxiety disorders, but are insufficient to justify revisions to the DSM nosology at this time.
PMID: 19957279
ISSN: 1091-4269
CID: 161857
Development and validation of a sensitive entropy-based measure for the water maze
Maei, Hamid R; Zaslavsky, Kirill; Wang, Afra H; Yiu, Adelaide P; Teixeira, Cátia M; Josselyn, Sheena A; Frankland, Paul W
In the water maze, mice are trained to navigate to an escape platform located below the water's surface, and spatial learning is most commonly evaluated in a probe test in which the platform is removed from the pool. While contemporary tracking software provides precise positional information of mice for the duration of the probe test, existing performance measures (e.g., percent quadrant time, platform crossings) fail to exploit fully the richness of this positional data. Using the concept of entropy (H), here we develop a new measure that considers both how focused the search is and the degree to which searching is centered on the former platform location. To evaluate how H performs compared to existing measures of water maze performance we compiled five separate databases, containing more than 1600 mouse probe tests. Random selection of individual trials from respective databases then allowed us to simulate experiments with varying sample and effect sizes. Using this Monte Carlo-based method, we found that H outperformed existing measures in its ability to detect group differences over a range of sample or effect sizes. Additionally, we validated the new measure using three models of experimentally induced hippocampal dysfunction: (1) complete hippocampal lesions, (2) genetic deletion of alphaCaMKII, a gene implicated in hippocampal behavioral and synaptic plasticity, and (3) a mouse model of Alzheimer's disease. Together, these data indicate that H offers greater sensitivity than existing measures, most likely because it exploits the richness of the precise positional information of the mouse throughout the probe test.
PMCID:2802531
PMID: 20057926
ISSN: 1662-5145
CID: 4625272
What is the Most Sensitive Measure of Water Maze Probe Test Performance?
Maei, Hamid R; Zaslavsky, Kirill; Teixeira, Cátia M; Frankland, Paul W
The water maze is commonly used to assay spatial cognition, or, more generally, learning and memory in experimental rodent models. In the water maze, mice or rats are trained to navigate to a platform located below the water's surface. Spatial learning is then typically assessed in a probe test, where the platform is removed from the pool and the mouse or rat is allowed to search for it. Performance in the probe test may then be evaluated using either occupancy-based (percent time in a virtual quadrant [Q] or zone [Z] centered on former platform location), error-based (mean proximity to former platform location [P]) or counting-based (platform crossings [X]) measures. While these measures differ in their popularity, whether they differ in their ability to detect group differences is not known. To address this question we compiled five separate databases, containing more than 1600 mouse probe tests. Random selection of individual trials from respective databases then allowed us to simulate experiments with varying sample and effect sizes. Using this Monte Carlo-based method, we found that the P measure consistently outperformed the Q, Z and X measures in its ability to detect group differences. This was the case regardless of sample or effect size, and using both parametric and non-parametric statistical analyses. The relative superiority of P over other commonly used measures suggests that it is the most appropriate measure to employ in both low- and high-throughput water maze screens.
PMCID:2659169
PMID: 19404412
ISSN: 1662-5145
CID: 4625262
The influence of stress hormones on fear circuitry
Rodrigues, Sarina M; LeDoux, Joseph E; Sapolsky, Robert M
Fear arousal, initiated by an environmental threat, leads to activation of the stress response, a state of alarm that promotes an array of autonomic and endocrine changes designed to aid self-preservation. The stress response includes the release of glucocorticoids from the adrenal cortex and catecholamines from the adrenal medulla and sympathetic nerves. These stress hormones, in turn, provide feedback to the brain and influence neural structures that control emotion and cognition. To illustrate this influence, we focus on how it impacts fear conditioning, a behavioral paradigm widely used to study the neural mechanisms underlying the acquisition, expression, consolidation, reconsolidation, and extinction of emotional memories. We also discuss how stress and the endocrine mediators of the stress response influence the morphological and electrophysiological properties of neurons in brain areas that are crucial for fear-conditioning processes, including the amygdala, hippocampus, and prefrontal cortex. The information in this review illuminates the behavioral and cellular events that underlie the feedforward and feedback networks that mediate states of fear and stress and their interaction in the brain
PMID: 19400714
ISSN: 1545-4126
CID: 135015
The emotional and social brain : introduction
Chapter by: Heatherton, Todd F; LeDoux, Joseph E
in: The cognitive neurosciences by Gazzaniga, Michael S [Eds]
Cambridge, Mass. : MIT Press, 2009
pp. 887-888
ISBN: 026201341x
CID: 1722002
The human amygdala : insights from other animals
Chapter by: LeDoux, Joseph E; Schiller, Daniela
in: The human amygdala by Whalen, Paul J; Phelps, Elizabeth A (Eds)
New York : Guilford Press, 2009
pp. ?-?
ISBN: 1606230336
CID: 3101962
Early-life experiences: Enduring behavioral, neurological, and endocrinological consequences
Chapter by: Romeo, RD; Tang, AC; Sullivan, RM
in: Hormones, Brain and Behavior Online by Arnold, Arthur P; Etgen, Anne M; Fahrbach, Susan E; Rubin, Robert T; Pfaff, Donald W [Eds]
Burlington : Elsevier Science, 2009
pp. 1975-2006
ISBN: 9780080887838
CID: 656232