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Richard Watts

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5 papers

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YNIMG Journal 2023 Journal Article

Neural responses to reward valence and magnitude from pre- to early adolescence

Reuma Gadassi Polack
Jessica A. Mollick
Hanna Keren
Jutta Joormann
Richard Watts

BACKGROUND: Neural activation during reward processing is thought to underlie critical behavioral changes that take place during the transition to adolescence (e.g., learning, risk-taking). Though literature on the neural basis of reward processing in adolescence is booming, important gaps remain. First, more information is needed regarding changes in functional neuroanatomy in early adolescence. Another gap is understanding whether sensitivity to different aspects of the incentive (e.g., magnitude and valence) changes during the transition into adolescence. We used fMRI from a large sample of preadolescent children to characterize neural responses to incentive valence vs. magnitude during anticipation and feedback, and their change over a period of two years. METHODS: (ABCD®) study release 3.0. Children completed the Monetary Incentive Delay task at baseline (ages 9-10) and year 2 follow-up (ages 11-12). Based on data from two sites (N = 491), we identified activation-based Regions of Interest (ROIs; e.g., striatum, prefrontal regions, etc.) that were sensitive to trial type (win $5, win $0.20, neutral, lose $0.20, lose $5) during anticipation and feedback phases. Then, in an independent subsample (N = 1470), we examined whether these ROIs were sensitive to valence and magnitude and whether that sensitivity changed over two years. RESULTS: ≤0.30). Interestingly, specialization was moderated by reward processing phase but was stable across development. Biological sex and pubertal status differences were few and inconsistent. Developmental changes were mostly evident during success feedback, where neural reactivity increased over time. CONCLUSIONS: Our results suggest sub-specialization to valence vs. magnitude within many ROIs of the reward circuitry. Additionally, in line with theoretical models of adolescent development, our results suggest that the ability to benefit from success increases from pre- to early adolescence. These findings can inform educators and clinicians and facilitate empirical research of typical and atypical motivational behaviors during a critical time of development.

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YNIMG Journal 2022 Journal Article

An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD)

Kristina M. Rapuano
May I. Conley
Anthony C. Juliano
Gregory M. Conan
Maria T. Maza
Kylie Woodman
Steven A. Martinez
Eric Earl

As public access to longitudinal developmental datasets like the Adolescent Brain Cognitive Development StudySM (ABCD Study®) increases, so too does the need for resources to benchmark time-dependent effects. Scan-to-scan changes observed with repeated imaging may reflect development but may also reflect practice effects, day-to-day variability in psychological states, and/or measurement noise. Resources that allow disentangling these time-dependent effects will be useful in quantifying actual developmental change. We present an accelerated adult equivalent of the ABCD Study dataset (a-ABCD) using an identical imaging protocol to acquire magnetic resonance imaging (MRI) structural, diffusion-weighted, resting-state and task-based data from eight adults scanned five times over five weeks. We report on the task-based imaging data (n = 7). In-scanner stop-signal (SST), monetary incentive delay (MID), and emotional n-back (EN-back) task behavioral performance did not change across sessions. Post-scan recognition memory for emotional n-back stimuli, however, did improve as participants became more familiar with the stimuli. Functional MRI analyses revealed that patterns of task-based activation reflecting inhibitory control in the SST, reward success in the MID task, and working memory in the EN-back task were more similar within individuals across repeated scan sessions than between individuals. Within-subject, activity was more consistent across sessions during the EN-back task than in the SST and MID task, demonstrating differences in fMRI data reliability as a function of task. The a-ABCD dataset provides a unique testbed for characterizing the reliability of brain function, structure, and behavior across imaging modalities in adulthood and benchmarking neurodevelopmental change observed in the open-access ABCD Study.

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YNIMG Journal 2020 Journal Article

Correction of respiratory artifacts in MRI head motion estimates

Damien A. Fair
Oscar Miranda-Dominguez
Abraham Z. Snyder
Anders Perrone
Eric A. Earl
Andrew N. Van
Jonathan M. Koller
Eric Feczko

Head motion represents one of the greatest technical obstacles in magnetic resonance imaging (MRI) of the human brain. Accurate detection of artifacts induced by head motion requires precise estimation of movement. However, head motion estimates may be corrupted by artifacts due to magnetic main field fluctuations generated by body motion. In the current report, we examine head motion estimation in multiband resting state functional connectivity MRI (rs-fcMRI) data from the Adolescent Brain and Cognitive Development (ABCD) Study and comparison 'single-shot' datasets. We show that respirations contaminate movement estimates in functional MRI and that respiration generates apparent head motion not associated with functional MRI quality reductions. We have developed a novel approach using a band-stop filter that accurately removes these respiratory effects from motion estimates. Subsequently, we demonstrate that utilizing a band-stop filter improves post-processing fMRI data quality. Lastly, we demonstrate the real-time implementation of motion estimate filtering in our FIRMM (Framewise Integrated Real-Time MRI Monitoring) software package.

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YNIMG Journal 2019 Journal Article

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Donald J. Hagler
SeanN. Hatton
M. Daniela Cornejo
Carolina Makowski
Damien A. Fair
Anthony Steven Dick
Matthew T. Sutherland
B.J. Casey

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 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 is a resource of unprecedented scale and depth for studying typical and atypical development. The aim of this manuscript is to describe the baseline neuroimaging processing and subject-level analysis methods used by ABCD. 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. This manuscript serves as a methodological reference for users of publicly shared neuroimaging data from the ABCD Study.

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YNIMG Journal 2018 Journal Article

Structural network differences in chronic musculoskeletal pain: Beyond fractional anisotropy

James H. Bishop
Marina Shpaner
Antoni Kubicki
Sarah Clements
Richard Watts
Magdalena R. Naylor

Chronic musculoskeletal pain is a condition that influences central nervous system structure. In this study, we combined novel structural neuroimaging techniques, using well-validated software packages including FSL, Mrtrix3, and DSI Studio, to characterize brain grey (GM) and white matter (WM) differences in chronic musculoskeletal pain participants (n = 74), compared to age-matched pain-free controls (n = 31). In participants with chronic pain, we identified significantly higher volume in subcortical GM structures using voxel-based morphometry (FSLVBM). These differences were most prominent in the caudate, amygdala, and the hippocampus. At the same time, volume was lower in the dorsolateral prefrontal cortex, as well as the primary motor and sensory regions in patients with chronic pain. To delineate WM microstructural differences of neuronal (e. g. , activity-dependent myelin remodeling) and non-neuronal (e. g. , neuroinflammation) origins, we utilized Mrtrix3 software pipelines to investigate WM fiber complexity, density, and cross-section. Whole-brain analyses revealed lower WM fiber complexity within the corpus callosum and the anterior limb of the left internal capsule. Whole brain and region of interest analyses revealed fiber complexity differences within the salience and the sensorimotor networks. In contrast, we detected non-neuronal white matter density differences within the dorsal attention network: density was lower in the inferior fronto-occipital fasciculus and the splenium of the corpus callosum in chronic musculoskeletal pain. Consistent with the involvement of the dorsal attention network, WM tractography analysis, conducted with DSI Studio and Network Based Statistics, revealed higher connectivity from the superior parietal lobule to the hippocampus in patients with chronic pain. No differences were detected in measures of fiber cross-section, suggesting the absence of neuronal degeneration in chronic pain. The combination of multiple neuroimaging techniques in this study offers a unique window into the structural differences within the chronic pain brain and provides the first evidence of microstructural variations in fiber complexity and density.

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