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Paul Florsheim

Bio: Paul Florsheim is an academic researcher from University of Wisconsin–Milwaukee. The author has contributed to research in topics: Cognition & Cognitive development. The author has an hindex of 6, co-authored 11 publications receiving 367 citations.

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Journal ArticleDOI
Donald J. Hagler1, Sean N. Hatton1, M. Daniela Cornejo1, Carolina Makowski2, Damien A. Fair3, Anthony Steven Dick4, Matthew T. Sutherland4, B. J. Casey5, M Deanna6, Michael P. Harms6, Richard Watts5, James M. Bjork7, Hugh Garavan8, Laura Hilmer1, Christopher J. Pung1, Chelsea S. Sicat1, Joshua M. Kuperman1, Hauke Bartsch1, Feng Xue1, Mary M. Heitzeg9, Angela R. Laird4, Thanh T. Trinh1, Raul Gonzalez4, Susan F. Tapert1, Michael C. Riedel4, Lindsay M. Squeglia10, Luke W. Hyde9, Monica D. Rosenberg5, Eric Earl3, Katia D. Howlett11, Fiona C. Baker12, Mary E. Soules9, Jazmin Diaz1, Octavio Ruiz de Leon1, Wesley K. Thompson1, Michael C. Neale7, Megan M. Herting13, Elizabeth R. Sowell13, Ruben P. Alvarez11, Samuel W. Hawes4, Mariana Sanchez4, Jerzy Bodurka14, Florence J. Breslin14, Amanda Sheffield Morris14, Martin P. Paulus14, W. Kyle Simmons14, Jonathan R. Polimeni15, Andre van der Kouwe15, Andrew S. Nencka16, Kevin M. Gray10, Carlo Pierpaoli11, John A. Matochik11, Antonio Noronha11, Will M. Aklin11, Kevin P. Conway11, Meyer D. Glantz11, Elizabeth Hoffman11, Roger Little11, Marsha F. Lopez11, Vani Pariyadath11, Susan R.B. Weiss11, Dana L. Wolff-Hughes, Rebecca DelCarmen-Wiggins, Sarah W. Feldstein Ewing3, Oscar Miranda-Dominguez3, Bonnie J. Nagel3, Anders Perrone3, Darrick Sturgeon3, Aimee Goldstone12, Adolf Pfefferbaum12, Kilian M. Pohl12, Devin Prouty12, Kristina A. Uban17, Susan Y. Bookheimer18, Mirella Dapretto18, Adriana Galván18, Kara Bagot1, Jay N. Giedd1, M. Alejandra Infante1, Joanna Jacobus1, Kevin Patrick1, Paul D. Shilling1, Rahul S. Desikan19, Yi Li19, Leo P. Sugrue19, Marie T. Banich20, Naomi P. Friedman20, John K. Hewitt20, Christian J. Hopfer20, Joseph T. Sakai20, Jody Tanabe20, Linda B. Cottler21, Sara Jo Nixon21, Linda Chang22, Christine C. Cloak22, Thomas Ernst22, Gloria Reeves22, David N. Kennedy23, Steve Heeringa9, Scott Peltier9, John E. Schulenberg9, Chandra Sripada9, Robert A. Zucker9, William G. Iacono24, Monica Luciana24, Finnegan J. Calabro25, Duncan B. Clark25, David A. Lewis25, Beatriz Luna25, Claudiu Schirda25, Tufikameni Brima26, John J. Foxe26, Edward G. Freedman26, Daniel W. Mruzek26, Michael J. Mason27, Rebekah S. Huber28, Erin McGlade28, Andrew P. Prescot28, Perry F. Renshaw28, Deborah A. Yurgelun-Todd28, Nicholas Allgaier8, Julie A. Dumas8, Masha Y. Ivanova8, Alexandra Potter8, Paul Florsheim29, Christine L. Larson29, Krista M. Lisdahl29, Michael E. Charness30, Michael E. Charness15, Michael E. Charness31, Bernard F. Fuemmeler7, John M. Hettema7, Hermine H. Maes7, Joel L. Steinberg7, Andrey P. Anokhin6, Paul E.A. Glaser6, Andrew C. Heath6, Pamela A. F. Madden6, Arielle R. Baskin-Sommers5, R. Todd Constable5, Steven Grant11, Gayathri J. Dowling11, Sandra A. Brown1, Terry L. Jernigan1, Anders M. Dale1 
TL;DR: The baseline neuroimaging processing and subject-level analysis methods used by the Adolescent Brain Cognitive Development Study are described to be a resource of unprecedented scale and depth for studying typical and atypical development.

431 citations

Posted ContentDOI
Donald J. Hagler1, Sean N. Hatton1, Carolina Makowski2, M. Daniela Cornejo3, Damien A. Fair3, Anthony Steven Dick4, Matthew T. Sutherland4, B. J. Casey5, M Deanna6, Michael P. Harms6, Richard Watts5, James M. Bjork7, Hugh Garavan8, Laura Hilmer1, Christopher J. Pung1, Chelsea S. Sicat1, Joshua M. Kuperman1, Hauke Bartsch1, Feng Xue1, Mary M. Heitzeg9, Angela R. Laird4, Thanh T. Trinh1, Raul Gonzalez4, Susan F. Tapert1, Michael C. Riedel4, Lindsay M. Squeglia10, Luke W. Hyde9, Monica D. Rosenberg5, Eric Earl3, Katia D. Howlett11, Fiona C. Baker12, Mary E. Soules9, Jazmin Diaz1, Octavio Ruiz de Leon1, Wesley K. Thompson1, Michael C. Neale7, Megan M. Herting13, Elizabeth R. Sowell13, Ruben P. Alvarez14, Samuel W. Hawes4, Mariana Sanchez4, Jerzy Bodurka15, Florence J. Breslin15, Amanda Sheffield Morris15, Martin P. Paulus15, W. Kyle Simmons15, Jonathan R. Polimeni16, Andre van der Kouwe16, Andrew S. Nencka17, Kevin M. Gray10, Carlo Pierpaoli14, John A. Matochik14, Antonio Noronha14, Will M. Aklin11, Kevin P. Conway11, Meyer D. Glantz11, Elizabeth Hoffman11, Roger Little11, Marsha F. Lopez11, Vani Pariyadath11, Susan R.B. Weiss11, Dana L. Wolff-Hughes, Rebecca DelCarmen-Wiggins, Sarah W. Feldstein Ewing3, Oscar Miranda-Dominguez3, Bonnie J. Nagel3, Anders Perrone3, Darrick Sturgeon3, Aimee Goldstone12, Adolf Pfefferbaum12, Kilian M. Pohl12, Devin Prouty12, Kristina A. Uban1, Susan Y. Bookheimer1, Mirella Dapretto1, Adriana Galván1, Kara Bagot1, Jay N. Giedd1, M. Alejandra Infante1, Joanna Jacobus1, Kevin Patrick1, Paul D. Shilling1, Rahul S. Desikan1, Yi Li1, Leo P. Sugrue1, Marie T. Banich18, Naomi P. Friedman18, John K. Hewitt18, Christian J. Hopfer18, Joseph T. Sakai18, Jody Tanabe18, Linda B. Cottler19, Sara Jo Nixon19, Linda Chang20, Christine C. Cloak20, Thomas Ernst20, Gloria Reeves20, David N. Kennedy21, Steve Heeringa9, Scott Peltier9, John E. Schulenberg9, Chandra Sripada9, Robert A. Zucker9, William G. Iacono22, Monica Luciana22, Finnegan J. Calabro23, Duncan B. Clark23, David A. Lewis23, Beatriz Luna23, Claudiu Schirda23, Tufikameni Brima24, John J. Foxe24, Edward G. Freedman24, Daniel W. Mruzek24, Michael J. Mason25, Rebekah S. Huber26, Erin McGlade26, Andrew P. Prescot26, Perry F. Renshaw26, Deborah A. Yurgelun-Todd26, Nicholas Allgaier8, Julie A. Dumas8, Masha Y. Ivanova8, Alexandra Potter8, Paul Florsheim27, Christine L. Larson27, Krista M. Lisdahl27, Michael E. Charness28, Bernard F. Fuemmeler7, John M. Hettema7, Joel L. Steinberg7, Andrey P. Anokhin6, Paul E.A. Glaser6, Andrew C. Heath6, Pamela A. F. Madden6, Arielle R. Baskin-Sommers5, R. Todd Constable5, Steven Grant11, Gayathri J. Dowling11, Sandra A. Brown1, Terry L. Jernigan1, Anders M. Dale1 
04 Nov 2018-bioRxiv
TL;DR: The baseline neuroimaging processing and subject-level analysis methods used by the ABCD DAIC in the centralized processing and extraction of neuroanatomical and functional imaging phenotypes are described.
Abstract: The Adolescent Brain Cognitive Development (ABCD) Study is an ongoing, nationwide study of the effects of environmental influences on behavioral and brain development in adolescents. The ABCD Study is a collaborative effort, including a Coordinating Center, 21 data acquisition sites across the United States, and a Data Analysis and Informatics Center (DAIC). The main objective of the study is to recruit and assess over eleven thousand 9-10-year-olds and follow them over the course of 10 years to characterize normative brain and cognitive development, the many factors that influence brain development, and the effects of those factors on mental health and other outcomes. The study employs state-of-the-art multimodal brain imaging, cognitive and clinical assessments, bioassays, and careful assessment of substance use, environment, psychopathological symptoms, and social functioning. The data will provide a resource of unprecedented scale and depth for studying typical and atypical development. Here, we describe the baseline neuroimaging processing and subject-level analysis methods used by the ABCD DAIC in the centralized processing and extraction of neuroanatomical and functional imaging phenotypes. Neuroimaging processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI), analysis of brain microstructure using diffusion MRI (dMRI), task-related analysis of functional MRI (fMRI), and functional connectivity analysis of resting-state fMRI.

276 citations

Journal ArticleDOI
TL;DR: The efficacy of the YPP supported the efficacy of this couples-focused, coparenting support program, particularly for facilitating positive paternal engagement and underscored the relevance of including fathers in the delivery of maternal-child public health services.
Abstract: Objectives. Because of their youth, adolescent parents often lack the interpersonal skills necessary to manage the relationship challenges involved in parenting, leaving them and their children vulnerable to the health risks associated with relational stress and conflict. The primary goal of this study was to test the efficacy of the Young Parenthood Program (YPP), a 10-week counseling program administered during pregnancy and designed to facilitate interpersonal skill development and positive parenting among adolescent parents.Methods. Participants included 105 pregnant adolescents and their partners randomly assigned to YPP or treatment as usual. Assessments measured coparenting skills and parental functioning during the second trimester, 12 weeks after birth, and 18 months after birth.Results. Results indicated that fathers completing YPP demonstrated more positive parenting than did fathers in the control group. Moreover, the positive outcomes in paternal functioning were mediated through changes in t...

48 citations

Journal ArticleDOI
TL;DR: The Young Parenthood Program (YPP) as discussed by the authors is a new coparenting counseling program designed to support positive communications and prevent the occurrence of intimate partner violence (IPV) among pregnant adolescents and their biological partners.
Abstract: This pilot study tested the Young Parenthood Program (YPP), which is a new coparenting counseling program designed to support positive communications and prevent the occurrence of intimate partner violence (IPV) among pregnant adolescents and their biological partners. One hundred five coparenting couples were recruited, assessed, and randomized into a treatment or a control group and then reassessed at 3 and 18 months post birth. The assessment process included an interview-based screening for the occurrence of IPV that was administered to both mothers and fathers in individual meetings. Initial results indicated that couples who were randomly assigned to the YPP were significantly less likely to have engaged in IPV at the first follow-up, compared to couples in the “treatment as usual” control group, but the strength of this finding diminished over time. Because the YPP is new and our sample is relatively small, findings should be regarded as preliminary. Additional testing of YPP is necessary, but init...

42 citations

Journal ArticleDOI
Bader Chaarani1, Sage Hahn1, Nicholas Allgaier1, Shana Adise1  +189 moreInstitutions (38)
TL;DR: In the Adolescent Brain Cognitive Development (ABCD) study as discussed by the authors, the authors report activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657), and working memory and emotion reactivity with an emotional N-back (EN-back) task.
Abstract: The Adolescent Brain Cognitive Development (ABCD) Study® is a 10-year longitudinal study of children recruited at ages 9 and 10. A battery of neuroimaging tasks are administered biennially to track neurodevelopment and identify individual differences in brain function. This study reports activation patterns from functional MRI (fMRI) tasks completed at baseline, which were designed to measure cognitive impulse control with a stop signal task (SST; N = 5,547), reward anticipation and receipt with a monetary incentive delay (MID) task (N = 6,657) and working memory and emotion reactivity with an emotional N-back (EN-back) task (N = 6,009). Further, we report the spatial reproducibility of activation patterns by assessing between-group vertex/voxelwise correlations of blood oxygen level-dependent (BOLD) activation. Analyses reveal robust brain activations that are consistent with the published literature, vary across fMRI tasks/contrasts and slightly correlate with individual behavioral performance on the tasks. These results establish the preadolescent brain function baseline, guide interpretation of cross-sectional analyses and will enable the investigation of longitudinal changes during adolescent development. This paper reports activation patterns for fMRI tasks assessing response inhibition, working memory and reward processing obtained at baseline in the longitudinal ABCD Study, providing a reference for research into adolescent brain development.

41 citations


Cited by
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TL;DR: In this article , the authors used three of the largest neuroimaging datasets currently available, with a total sample size of around 50,000 individuals, to quantify brain-wide association studies effect sizes and reproducibility as a function of sample size.
Abstract: Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping of abilities to specific structures (for example, lesion studies) and functions1-3 (for example, task functional MRI (fMRI)). Mental health research and care have yet to realize similar advances from MRI. A primary challenge has been replicating associations between inter-individual differences in brain structure or function and complex cognitive or mental health phenotypes (brain-wide association studies (BWAS)). Such BWAS have typically relied on sample sizes appropriate for classical brain mapping4 (the median neuroimaging study sample size is about 25), but potentially too small for capturing reproducible brain-behavioural phenotype associations5,6. Here we used three of the largest neuroimaging datasets currently available-with a total sample size of around 50,000 individuals-to quantify BWAS effect sizes and reproducibility as a function of sample size. BWAS associations were smaller than previously thought, resulting in statistically underpowered studies, inflated effect sizes and replication failures at typical sample sizes. As sample sizes grew into the thousands, replication rates began to improve and effect size inflation decreased. More robust BWAS effects were detected for functional MRI (versus structural), cognitive tests (versus mental health questionnaires) and multivariate methods (versus univariate). Smaller than expected brain-phenotype associations and variability across population subsamples can explain widespread BWAS replication failures. In contrast to non-BWAS approaches with larger effects (for example, lesions, interventions and within-person), BWAS reproducibility requires samples with thousands of individuals.

611 citations

Journal ArticleDOI
TL;DR: In this paper , the authors used three of the largest neuroimaging datasets currently available, with a total sample size of around 50,000 individuals, to quantify brain-wide association studies effect sizes and reproducibility as a function of sample size.
Abstract: Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping of abilities to specific structures (for example, lesion studies) and functions1-3 (for example, task functional MRI (fMRI)). Mental health research and care have yet to realize similar advances from MRI. A primary challenge has been replicating associations between inter-individual differences in brain structure or function and complex cognitive or mental health phenotypes (brain-wide association studies (BWAS)). Such BWAS have typically relied on sample sizes appropriate for classical brain mapping4 (the median neuroimaging study sample size is about 25), but potentially too small for capturing reproducible brain-behavioural phenotype associations5,6. Here we used three of the largest neuroimaging datasets currently available-with a total sample size of around 50,000 individuals-to quantify BWAS effect sizes and reproducibility as a function of sample size. BWAS associations were smaller than previously thought, resulting in statistically underpowered studies, inflated effect sizes and replication failures at typical sample sizes. As sample sizes grew into the thousands, replication rates began to improve and effect size inflation decreased. More robust BWAS effects were detected for functional MRI (versus structural), cognitive tests (versus mental health questionnaires) and multivariate methods (versus univariate). Smaller than expected brain-phenotype associations and variability across population subsamples can explain widespread BWAS replication failures. In contrast to non-BWAS approaches with larger effects (for example, lesions, interventions and within-person), BWAS reproducibility requires samples with thousands of individuals.

520 citations

Journal ArticleDOI
TL;DR: The overall quality of the body of evidence was low to moderate, mainly due to heterogeneity, risk of bias, and imprecision; the majority of studies minimised selection bias; performance bias was the greatest threat to validity.
Abstract: BACKGROUND: Intimate partner violence (IPV) damages individuals, their children, communities, and the wider economic and social fabric of society. Some governments and professional organisations recommend screening all women for IPV rather than asking only women with symptoms (case-finding). Here, we examine the evidence for whether screening benefits women and has no deleterious effects. OBJECTIVES: To assess the effectiveness of screening for IPV conducted within healthcare settings on identification, referral, re-exposure to violence, and health outcomes for women, and to determine if screening causes any harm. SEARCH METHODS: On 17 February 2015, we searched CENTRAL, Ovid MEDLINE, Embase, CINAHL, six other databases, and two trial registers. We also searched the reference lists of included articles and the websites of relevant organisations. SELECTION CRITERIA: Randomised or quasi-randomised controlled trials assessing the effectiveness of IPV screening where healthcare professionals either directly screened women face-to-face or were informed of the results of screening questionnaires, as compared with usual care (which could include screening that did not involve a healthcare professional). DATA COLLECTION AND ANALYSIS: Two authors independently assessed the risk of bias in the trials and undertook data extraction. For binary outcomes, we calculated a standardised estimation of the odds ratio (OR). For continuous data, either a mean difference (MD) or standardised mean difference (SMD) was calculated. All are presented with a 95% confidence interval (CI). MAIN RESULTS: We included 13 trials that recruited 14,959 women from diverse healthcare settings (antenatal clinics, women's health clinics, emergency departments, primary care) predominantly located in high-income countries and urban settings. The majority of studies minimised selection bias; performance bias was the greatest threat to validity. The overall quality of the body of evidence was low to moderate, mainly due to heterogeneity, risk of bias, and imprecision.We excluded five of 13 studies from the primary analysis as they either did not report identification data, or the way in which they did was not consistent with clinical identification by healthcare providers. In the remaining eight studies (n = 10,074), screening increased clinical identification of victims/survivors (OR 2.95, 95% CI 1.79 to 4.87, moderate quality evidence).Subgroup analyses suggested increases in identification in antenatal care (OR 4.53, 95% CI 1.82 to 11.27, two studies, n = 663, moderate quality evidence); maternal health services (OR 2.36, 95% CI 1.14 to 4.87, one study, n = 829, moderate quality evidence); and emergency departments (OR 2.72, 95% CI 1.03 to 7.19, three studies, n = 2608, moderate quality evidence); but not in hospital-based primary care (OR 1.53, 95% CI 0.79 to 2.94, one study, n = 293, moderate quality evidence).Only two studies (n = 1298) measured referrals to domestic violence support services following clinical identification. We detected no evidence of an effect on referrals (OR 2.24, 95% CI 0.64 to 7.86, low quality evidence).Four of 13 studies (n = 2765) investigated prevalence (excluded from main analysis as rates were not clinically recorded); detection of IPV did not differ between face-to-face screening and computer/written-based assessment (OR 1.12, 95% CI 0.53 to 2.36, moderate quality evidence).Only two studies measured women's experience of violence (three to 18 months after screening) and found no evidence that screening decreased IPV.Only one study reported on women's health with no differences observable at 18 months.Although no study reported adverse effects from screening interventions, harm outcomes were only measured immediately afterwards and only one study reported outcomes at three months.There was insufficient evidence on which to judge whether screening increases uptake of specialist services, and no studies included an economic evaluation. AUTHORS' CONCLUSIONS: The evidence shows that screening increases the identification of women experiencing IPV in healthcare settings. Overall, however, rates were low relative to best estimates of prevalence of IPV in women seeking healthcare. Pregnant women in antenatal settings may be more likely to disclose IPV when screened, however, rigorous research is needed to confirm this. There was no evidence of an effect for other outcomes (referral, re-exposure to violence, health measures, lack of harm arising from screening). Thus, while screening increases identification, there is insufficient evidence to justify screening in healthcare settings. Furthermore, there remains a need for studies comparing universal screening to case-finding (with or without advocacy or therapeutic interventions) for women's long-term wellbeing in order to inform IPV identification policies in healthcare settings. Language: en

384 citations

Journal ArticleDOI
TL;DR: An overview of the mental health challenges associated with teen parenthood, barriers that often prevent teen mothers from seeking mental health services, and interventions for this vulnerable population that can be integrated into primary care services is provided.
Abstract: Adolescent parenthood is associated with a range of adverse outcomes for young mothers, including mental health problems such as depression, substance abuse, and posttraumatic stress disorder. Teen mothers are also more likely to be impoverished and reside in communities and families that are socially and economically disadvantaged. These circumstances can adversely affect maternal mental health, parenting, and behavior outcomes for their children. In this report, we provide an overview of the mental health challenges associated with teen parenthood, barriers that often prevent teen mothers from seeking mental health services, and interventions for this vulnerable population that can be integrated into primary care services. Pediatricians in the primary care setting are in a unique position to address the mental health needs of adolescent parents because teens often turn to them first for assistance with emotional and behavioral concerns. Consequently, pediatricians can play a pivotal role in facilitating and encouraging teen parents’ engagement in mental health treatment.

206 citations