The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.

The ABCD study is recruiting and following the brain development and health of over 10,000 9-10 year olds through adolescence. The imaging component of the study was developed by the ABCD Data Analysis and Informatics Center (DAIC) and the ABCD Imaging Acquisition Workgroup. Imaging methods and assessments were selected, optimized and harmonized across all 21 sites to measure brain structure and function relevant to adolescent development and addiction. This article provides an overview of the imaging procedures of the ABCD study, the basis for their selection and preliminary quality assurance and results that provide evidence for the feasibility and age-appropriateness of procedures and generalizability of findings to the existent literature.

A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets.

In this paper we propose a web-based approach for quick visualization of big data from brain magnetic resonance imaging (MRI) scans using a combination of an automated image capture and processing system, nonlinear embedding, and interactive data visualization tools. We draw upon thousands of MRI scans captured via the COllaborative Imaging and Neuroinformatics Suite (COINS). We then interface the output of several analysis pipelines based on structural and functional data to a t-distributed stochastic neighbor embedding (t-SNE) algorithm which reduces the number of dimensions for each scan in the input data set to two dimensions while preserving the local structure of data sets. Finally, we interactively display the output of this approach via a web-page, based on data driven documents (D3) JavaScript library. Two distinct approaches were used to visualize the data. In the first approach, we computed multiple quality control (QC) values from pre-processed data, which were used as inputs to the t-SNE algorithm. This approach helps in assessing the quality of each data set relative to others. In the second case, computed variables of interest (e.g., brain volume or voxel values from segmented gray matter images) were used as inputs to the t-SNE algorithm. This approach helps in identifying interesting patterns in the data sets. We demonstrate these approaches using multiple examples from over 10,000 data sets including (1) quality control measures calculated from phantom data over time, (2) quality control data from human functional MRI data across various studies, scanners, sites, (3) volumetric and density measures from human structural MRI data across various studies, scanners and sites. Results from (1) and (2) show the potential of our approach to combine t-SNE data reduction with interactive color coding of variables of interest to quickly identify visually unique clusters of data (i.e., data sets with poor QC, clustering of data by site) quickly. Results from (3) demonstrate interesting patterns of gray matter and volume, and evaluate how they map onto variables including scanners, age, and gender. In sum, the proposed approach allows researchers to rapidly identify and extract meaningful information from big data sets. Such tools are becoming increasingly important as datasets grow larger.

Gatekeeper training and access to mental health care at universities and colleges.

PURPOSE: Gatekeeper training (GKT) programs are an increasingly popular approach to addressing access to mental health care in adolescent and young adult populations. This study evaluates the effectiveness of a widely used GKT program, Mental Health First Aid, in college student populations. METHODS: A randomized control trial was conducted on 32 colleges and universities between 2009 and 2011. Campus residence halls were assigned to the intervention (Mental Health First Aid plus pre-existing trainings) or control condition (pre-existing trainings only) using matched pair randomization. The trainings were delivered to resident advisors (RAs). Outcome measures include service utilization, knowledge and attitudes about services, self-efficacy, intervention behaviors, and mental health symptoms. Data come from two sources: (1) surveys completed by the students (resident advisors and residents; N = 2,543), 2-3 months pre- and post-intervention; and (2) utilization records from campus mental health centers, aggregated by residence. RESULTS: The training increases trainees' self-perceived knowledge (regression-adjusted effect size [ES] = .38, p < .001), self-perceived ability to identify students in distress (ES = .19, p = .01), and confidence to help (ES = .17, p = .04). There are no apparent effects, however, on utilization of mental health care in the student communities in which the trainees live. CONCLUSIONS: Although GKT programs are widely used to increase access to mental health care, these programs may require modifications to achieve their objectives.

Mental health in American colleges and universities: variation across student subgroups and across campuses.

We estimated the prevalence and correlates of mental health problems among college students in the United States. In 2007 and 2009, we administered online surveys with brief mental health screens to random samples of students at 26 campuses nationwide. We used sample probability weights to adjust for survey nonresponse. A total of 14,175 students completed the survey, corresponding to a 44% participation rate. The prevalence of positive screens was 17.3% for depression, 4.1% for panic disorder, 7.0% for generalized anxiety, 6.3% for suicidal ideation, and 15.3% for nonsuicidal self-injury. Mental health problems were significantly associated with sex, race/ethnicity, religiosity, relationship status, living on campus, and financial situation. The prevalence of conditions varied substantially across the campuses, although campus-level variation was still a small proportion of overall variation in student mental health. The findings offer a starting point for identifying individual and contextual factors that may be useful to target in intervention strategies.

Help seeking for mental health on college campuses: review of evidence and next steps for research and practice.

This article reviews what is known about help-seeking behavior for mental health problems in college populations and offers suggestions for the next steps that could be undertaken to improve knowledge and practice in this area. Our review suggests that traditional barriers, such as stigma, can only partially explain the high prevalence of untreated disorders. We discuss the conclusions and limitations of research on campus-based intervention strategies, including anti-stigma campaigns, screening programs, and gatekeeper trainings. In proposing new directions for research and practice, we consider insights from research on other health behaviors (e.g., diet and exercise) as well as innovative ideas from behavioral economics and cognitive psychology regarding behavior change.

Attitudes and beliefs about treatment among college students with untreated mental health problems.

OBJECTIVE: This study estimated attitudes and beliefs about treatment in a national sample of college students with untreated mental health problems. METHODS: A retrospective analysis of the 2007 and 2009 Healthy Minds Study, an online survey of college students in the United States, was conducted. The random sample included 13,105 survey participants from 26 institutions. Students with untreated depression, anxiety, or suicidal ideation (N=2,350) were classified by attitudes about treatment (stigma), beliefs about effectiveness of treatment, and perceived need for treatment. RESULTS: A majority (65%) of untreated students reported low stigma and positive beliefs about treatment effectiveness, including 42% who perceived a need for help and 23% who did not. CONCLUSIONS: For a large proportion of young people with untreated mental illness, attitudes and knowledge about mental illness may no longer be among the main barriers to help seeking. Research and practice need to consider new approaches for understanding and influencing help-seeking behavior.

The Feasibility of Interventions to Reduce HIV Risk and Drug Use among Heterosexual Methamphetamine Users.

This paper reports on a feasibility study that examined contingency management among out-of-treatment, heterosexual methamphetamine users and the reduction of drug use and HIV risk. Fifty-eight meth users were recruited through street outreach in Denver from November 2006 through March 2007. The low sample size reflects that this was a pilot study to see if CM is feasible in an out-of-treatment, street-recruited population of meth users. Secondary aims were to examine if reductions and drug use and risk behavior could be found. Subjects were randomly assigned to contingency management (CM) or CM plus strengths-based case management (CM/SBCM), with follow-up at 4 and 8 months. Participants were primarily White (90%), 52% male and averaged 38 years old. Eighty-three percent attended at least one CM session, with 29% attending at least fifteen. All participants reduced meth use significantly at follow-up. Those who attended more sessions submitted more stimulant-free urines than those who attended fewer sessions. Participants assigned to CM/SBCM attended more sessions and earned more vouchers than clients in CM. Similarly, participants reported reduced needle-sharing and sex risk. Findings demonstrate that CM and SBCM may help meth users reduce drug use and HIV risk.

Mental health service utilization among college students in the United States.

We aimed to provide the most comprehensive picture, to date, of service utilization and help-seeking behavior for mental health problems among college students in the United States. We conducted online surveys in 2007 and 2009 of random samples of students in 26 campuses nationwide. Among students with an apparent mental health problem (32% of the weighted sample), 36% received any treatment in the previous year. The prevalence of psychotherapy and medication use was approximately equal. Treatment prevalence varied widely across campuses, with some campuses having prevalence 2 to 3 times higher than those of others. Apparent barriers to help-seeking included skepticism on treatment effectiveness and a general lack of perceived urgency. Overall, the findings indicate that help-seeking for mental health varies substantially across student characteristics and across campuses. Strategies to address the low prevalence of treatment will need to be responsive to this diversity.

Input, retention, and output factors affecting adult age differences in visuospatial short-term memory.

OBJECTIVES: The sources of age differences in short-term memory for spatial locations were explored in 2 experiments that examined factors related to input, to maintenance, and to output. METHOD: In each experiment, 4 dots were presented briefly, followed after a retention interval by a probe dot, which was judged to either match or not match one of the 4 memory-set dots. RESULTS AND DISCUSSION: Results showed that poorer performance by older adults could be attributed independently to reduced visual acuity, to less effective use of rehearsal strategies, and to differences in response biases.

The Brain's Cutting-Room Floor: Segmentation of Narrative Cinema.

Observers segment ongoing activity into meaningful events. Segmentation is a core component of perception that helps determine memory and guide planning. The current study tested the hypotheses that event segmentation is an automatic component of the perception of extended naturalistic activity, and that the identification of event boundaries in such activities results in part from processing changes in the perceived situation. Observers may identify boundaries between events as a result of processing changes in the observed situation. To test this hypothesis and study this potential mechanism, we measured brain activity while participants viewed an extended narrative film. Large transient responses were observed when the activity was segmented, and these responses were mediated by changes in the observed activity, including characters and their interactions, interactions with objects, spatial location, goals, and causes. These results support accounts that propose event segmentation is automatic and depends on processing meaningful changes in the perceived situation; they are the first to show such effects for extended naturalistic human activity.

Reading stories activates neural representations of visual and motor experiences.

To understand and remember stories, readers integrate their knowledge of the world with information in the text. Here we present functional neuroimaging evidence that neural systems track changes in the situation described by a story. Different brain regions track different aspects of a story, such as a character's physical location or current goals. Some of these regions mirror those involved when people perform, imagine, or observe similar real-world activities. These results support the view that readers understand a story by simulating the events in the story world and updating their simulation when features of that world change.

Segmentation in reading and film comprehension.

When reading a story or watching a film, comprehenders construct a series of representations in order to understand the events depicted. Discourse comprehension theories and a recent theory of perceptual event segmentation both suggest that comprehenders monitor situational features such as characters' goals, to update these representations at natural boundaries in activity. However, the converging predictions of these theories had previously not been tested directly. Two studies provided evidence that changes in situational features such as characters, their locations, their interactions with objects, and their goals are related to the segmentation of events in both narrative texts and films. A 3rd study indicated that clauses with event boundaries are read more slowly than are other clauses and that changes in situational features partially mediate this relation. A final study suggested that the predictability of incoming information influences reading rate and possibly event segmentation. Taken together, these results suggest that processing situational changes during comprehension is an important determinant of how one segments ongoing activity into events and that this segmentation is related to the control of processing during reading.

Pictures of a thousand words: investigating the neural mechanisms of reading with extremely rapid event-related fMRI.

Reading is one of the most important skills human beings can acquire, but has proven difficult to study naturalistically using functional magnetic resonance imaging (fMRI). We introduce a novel Event-Related Reading (ERR) fMRI approach that enables reliable estimation of the neural correlates of single-word processing during reading of rapidly presented narrative text (200-300 ms/word). Application to an fMRI experiment in which subjects read coherent narratives and made no overt responses revealed widespread effects of orthographic, phonological, contextual, and semantic variables on brain activation. Word-level variables predicted activity in classical language areas as well as the inferotemporal visual word form area, specifically supporting a role for the latter in mapping visual forms onto articulatory or acoustic representations. Additional analyses demonstrated that ERR results replicate across experiments and predict reading comprehension. The ERR approach represents a powerful and extremely flexible new approach for studying reading and language behavior with fMRI.

Neural substrates of narrative comprehension and memory.

When reading a narrative, comprehension and retention of information benefit considerably from the use of situation models--coherent representations of the characters, locations, and activities described in the text. Here we used functional magnetic resonance imaging (fMRI) to explore the neural mechanisms supporting situation model processing. Participants read blocks of sentences that were either unrelated to one another or formed coherent narratives. A timecourse-based approach was used to identify regions that differentiated narrative-level comprehension from sentence-level comprehension. Most brain regions that showed modulation of activation during narrative-level comprehension were also modulated to a lesser extent during sentence-level comprehension, suggesting a shared reliance on general coherence-building mechanisms. However, tentative evidence was found for narrative-specific activation in dorsomedial prefrontal cortex. Additional analyses identified spatiotemporally distinct neural contributions to situation model processing, with posterior parietal regions supporting situation model construction and frontotemporal regions supporting situation model maintenance. Finally, a set of subsequent memory analyses demonstrated that the boost in comprehension and memory performance observed for coherent materials was attributable to the use of integrative situation models rather than lower-level differences in sentence-level or word-level encoding. These results clarify the functional contributions of distinct brain systems to situation model processing and their mapping onto existing psychological models of narrative comprehension.

ERP correlates of familiarity and recollection processes in visual associative recognition.

Associative recognition memory often is thought to rely primarily on recollection processes, but opinions differ regarding the possible contribution of familiarity. The current experiments capitalized on hypothesized event-related potential (ERP) measures of familiarity and recollection to assess the contribution of each process to associative recognition. In two ERP experiments, participants studied pairs of fractals and were later tested on their ability to recognize the studied pairs. Early (100-175 ms) visual ERP components were sensitive to the novelty of individual fractals, but later components hypothesized to be indicative of familiarity and recollection were sensitive to the novelty of the association between fractals. These relationships suggest that accurate memory for visual associations may be dependent on both familiarity and recollection processes.

Human brain activity time-locked to narrative event boundaries.

Readers structure narrative text into a series of events in order to understand and remember the text. In this study, subjects read brief narratives describing everyday activities while brain activity was recorded with functional magnetic resonance imaging. Subjects later read the stories again to divide them into large and small events. During the initial reading, points later identified as boundaries between events were associated with transient increases in activity in a number of brain regions whose activity was mediated by changes in the narrated situation, such as changes in characters' goals. These results indicate that the segmentation of narrated activities into events is a spontaneous part of reading, and that this process of segmentation is likely dependent on neural responses to changes in the narrated situation.

Event perception: a mind-brain perspective.

People perceive and conceive of activity in terms of discrete events. Here the authors propose a theory according to which the perception of boundaries between events arises from ongoing perceptual processing and regulates attention and memory. Perceptual systems continuously make predictions about what will happen next. When transient errors in predictions arise, an event boundary is perceived. According to the theory, the perception of events depends on both sensory cues and knowledge structures that represent previously learned information about event parts and inferences about actors' goals and plans. Neurological and neurophysiological data suggest that representations of events may be implemented by structures in the lateral prefrontal cortex and that perceptual prediction error is calculated and evaluated by a processing pathway, including the anterior cingulate cortex and subcortical neuromodulatory systems.

Event understanding and memory in healthy aging and dementia of the Alzheimer type.

Segmenting ongoing activity into events is important for later memory of those activities. In the experiments reported in this article, older adults' segmentation of activity into events was less consistent with group norms than younger adults' segmentation, particularly for older adults diagnosed with mild dementia of the Alzheimer type. Among older adults, poor agreement with others' event segmentation was associated with deficits in recognition memory for pictures taken from the activity and memory for the temporal order of events. Impaired semantic knowledge about events also was associated with memory deficits. The data suggest that semantic knowledge about events guides encoding, facilitating later memory. To the extent that such knowledge or the ability to use it is impaired in aging and dementia, memory suffers.

Strategy-dependent changes in memory: effects on behavior and brain activity.

In the present study, an implicit strategy manipulation was used to explore the contribution of memory strategy to brain activation and behavioral performance. Participants were biased to use either a short-term (maintenance-focused) or long-term (retrieval-focused) memory strategy within a single memory task through manipulation of task context. In comparing directly matched trials across the different task contexts, we observed clear changes in both behavioral performance and brain activity across a network of regions located primarily within lateral and medial frontal cortex. These effects of the memory strategy manipulation suggest that when a retrieval-focused strategy is induced, mnemonic processes are preferentially engaged during the encoding period. In contrast, when a maintenance-focused strategy is induced, mnemonic processes are preferentially engaged during the delay and response periods. Taken together, the results imply that covert cognitive strategies play an important role in modulating brain activation and behavior during memory tasks.