Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study

Siless, Viviana; Hubbard, Nicholas A.; Jones, Robert J.; Wang, Jonathan; Lo, Nicole; Bauer, Clemens; Goncalves, Mathias; Frosch, Isabelle R.; Norton, Daniel; Vergara, Genesis A.; Conroy, Kathleen; Souza, F. Vaz De; Rosso, Isabelle M.; Wickham, Aleena Hay; Cosby, Elizabeth A.; Pinaire, Megan; Hirshfeld‐Becker, Dina R.; Pizzagalli, Diego A.; Henin, Aude; Hofmann, Stefan G.; Auerbach, Randy P.; Ghosh, Satrajit; Gabrieli, John D. E.; Whitfield-Gabrieli, Susan; Yendiki, Anastasia

doi:10.1016/j.nicl.2020.102242

Cited by 16 publications

(11 citation statements)

References 102 publications

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“…It included 138 participants with depression and/or anxiety disorders (age 15.50±0.83, 95 female) and 66 controls (age 15.17±0.83 years, 36 female). Details on the clinical assessment and imaging protocol are provided elsewhere (Hubbard et al 2020; Siless et al 2020).…”

Section: Methodsmentioning

confidence: 99%

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

Maffei¹,

Lee²,

Planich³

et al. 2021

Preprint

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The development of scanners with ultra-high gradients, spearheaded by the Human Connectome Project, has led to dramatic improvements in the spatial, angular, and diffusion resolution that is feasible for in vivo diffusion MRI acquisitions. The improved quality of the data can be exploited to achieve higher accuracy in the inference of both microstructural and macrostructural anatomy. However, such high-quality data can only be acquired on a handful of Connectom MRI scanners worldwide, while remaining prohibitive in clinical settings because of the constraints imposed by hardware and scanning time. In this study, we first update the classical protocols for tractography-based, manual annotation of major white-matter pathways, to adapt them to the much greater volume and variability of the streamlines that can be produced from today's state-of-the-art diffusion MRI data. We then use these protocols to annotate 42 major pathways manually in data from a Connectom scanner. Finally, we show that, when we use these manually annotated pathways as training data for global probabilistic tractography with anatomical neighborhood priors, we can perform highly accurate, automated reconstruction of the same pathways in much lower-quality, more widely available diffusion MRI data. The outcomes of this work include both a new, comprehensive atlas of WM pathways from Connectom data, and an updated version of our tractography toolbox, TRActs Constrained by UnderLying Anatomy (TRACULA), which is trained on data from this atlas. Both the atlas and TRACULA are distributed publicly as part of FreeSurfer. We present the first comprehensive comparison of TRACULA to the more conventional, multi-region-of-interest approach to automated tractography, and the first demonstration of training TRACULA on high-quality, Connectom data to benefit studies that use more modest acquisition protocols.

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Section: Methodsmentioning

confidence: 99%

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

Maffei¹,

Lee²,

Planich³

et al. 2021

Preprint

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“…Adolescents aged 14–17 diagnosed with anxiety disorders (Anx = 41; mean age = 15.19) and matched healthy controls (HC = 55, mean age = 15.31) were enrolled in the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) project. Clinical characteristics, diagnostic criteria, and demographics information have been previously reported (see [ 27 , 28 ]). Sample clinical characteristics are summarized in Table 1 .…”

Section: Methodsmentioning

confidence: 99%

Functional Alterations in Cerebellar Functional Connectivity in Anxiety Disorders

et al. 2020

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Adolescents with anxiety disorders exhibit excessive emotional and somatic arousal. Neuroimaging studies have shown abnormal cerebral cortical activation and connectivity in this patient population. The specific role of cerebellar output circuitry, specifically the dentate nuclei (DN), in adolescent anxiety disorders remains largely unexplored. Resting-state functional connectivity analyses have parcellated the DN, the major output nuclei of the cerebellum, into three functional territories (FTs) that include default-mode, salience-motor, and visual networks. The objective of this study was to understand whether FTs of the DN are implicated in adolescent anxiety disorders. Forty-one adolescents (mean age 15.19 ± 0.82, 26 females) with one or more anxiety disorders and 55 age- and gender-matched healthy controls completed resting-state fMRI scans and a self-report survey on anxiety symptoms. Seed-to-voxel functional connectivity analyses were performed using the FTs from DN parcellation. Brain connectivity metrics were then correlated with State-Trait Anxiety Inventory (STAI) measures within each group. Adolescents with an anxiety disorder showed significant hyperconnectivity between salience-motor DN FT and cerebral cortical salience-motor regions compared to controls. Salience-motor FT connectivity with cerebral cortical sensorimotor regions was significantly correlated with STAI-trait scores in HC (R2 = 0.41). Here, we report DN functional connectivity differences in adolescents diagnosed with anxiety, as well as in HC with variable degrees of anxiety traits. These observations highlight the relevance of DN as a potential clinical and sub-clinical marker of anxiety.

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“…To provide a more direct link with prior and on-going research, we conducted parallel analyses using fMRI data acquired from a subset of subjects who had also completed an emotional-faces fMRI paradigm. Variants of this paradigm are widely used as probes of amygdala function—often in the guise of quantifying variation in ‘Negative Valence Systems’—and have been incorporated into many biobank studies, including ABCD (Casey et al, 2018), Duke Neurogenetics (Elliott et al, 2019), the Human Connectome Project (HCP) and follow-ons (Barch et al, 2013; Seok et al, 2020; Siless et al, 2020; Somerville et al, 2018; Tozzi et al, 2020), IMAGEN (Albaugh et al, 2019), the Philadelphia Neurodevelopmental Cohort (Satterthwaite et al, 2016), and UK Biobank (Miller et al, 2016). Although photographs of models posing ‘threat-related’ (i.e., fearful and angry) facial displays strongly activate the amygdala (Miller et al, 2016), they do not elicit distress in typical adult populations and, as such, are better conceptualized as indices of emotion perception, rather than emotional experience or expression (Hur et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Anxiety-related frontocortical activity is associated with dampened stressor reactivity in the real world

Hur

Kuhn

Grogans

et al. 2021

Preprint

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Negative affect is a fundamental dimension of human emotion. When extreme, it contributes to a variety of adverse outcomes, from physical and mental illness to divorce and premature death. Mechanistic work in animals and neuroimaging research in humans has begun to reveal the broad contours of the neural circuits governing negative affect, but the relevance of these discoveries to everyday distress remains incompletely understood. Here we used a combination of approaches---including neuroimaging assays of threat anticipation and perception, >10,000 momentary assessments of emotional experience, and large-scale automated analyses of regional connectivity and co-activation---to demonstrate that individuals showing greater activation in a cingulo-opercular circuit during an anxiety-eliciting laboratory paradigm experience lower levels of stressor-dependent distress in their daily lives. Subcortical activation was not significantly related to momentary negative affect. These observations provide a framework for understanding the neurobiology of negative affect in the laboratory and in the real world.

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Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study

Cited by 16 publications

References 102 publications

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

Using diffusion MRI data acquired with ultra-high gradients to improve tractography in routine-quality data

Functional Alterations in Cerebellar Functional Connectivity in Anxiety Disorders

Anxiety-related frontocortical activity is associated with dampened stressor reactivity in the real world

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