Differentiating Frontostriatal and Fronto-Cerebellar Circuits in Attention-Deficit/Hyperactivity Disorder

Durston, Sarah; Belle, Janna van; Zeeuw, Patrick de

doi:10.1016/j.biopsych.2010.07.037

Cited by 223 publications

(200 citation statements)

References 87 publications

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“…Repeating our analysis using additional or unique neuropsychological domains might further classify or characterize profiles. Likewise, extending the present approach to neuroimaging studies may accelerate such characterization and inform heterogeneity in the neurobiology underlying the typical developing and ADHD populations (42,43). This approach would allow for a more streamlined procedure to help investigators target and test theories related to multiple unique pathways or circuits related to ADHD (42,43).…”

Section: Current Approach Can Be Extended Across Multiple Modalities Formentioning

confidence: 92%

“…Likewise, extending the present approach to neuroimaging studies may accelerate such characterization and inform heterogeneity in the neurobiology underlying the typical developing and ADHD populations (42,43). This approach would allow for a more streamlined procedure to help investigators target and test theories related to multiple unique pathways or circuits related to ADHD (42,43). Indeed, the same methods may be well suited to categorize participants on the basis of the neural circuitry itself or genetic markers (or pathways) rather than neuropsychological domains.…”

Section: Current Approach Can Be Extended Across Multiple Modalities Formentioning

confidence: 96%

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Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD

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Bathula

Nikolas

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

429

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Research and clinical investigations in psychiatry largely rely on the de facto assumption that the diagnostic categories identified in the Diagnostic and Statistical Manual (DSM) represent homogeneous syndromes. However, the mechanistic heterogeneity that potentially underlies the existing classification scheme might limit discovery of etiology for most developmental psychiatric disorders. Another, perhaps less palpable, reality may also be interfering with progress-heterogeneity in typically developing populations. In this report we attempt to clarify neuropsychological heterogeneity in a large dataset of typically developing youth and youth with attention deficit/hyperactivity disorder (ADHD), using graph theory and community detection. We sought to determine whether data-driven neuropsychological subtypes could be discerned in children with and without the disorder. Because individual classification is the sine qua non for eventual clinical translation, we also apply support vector machine-based multivariate pattern analysis to identify how well ADHD status in individual children can be identified as defined by the community detection delineated subtypes. The analysis yielded several unique, but similar subtypes across both populations. Just as importantly, comparing typically developing children with ADHD children within each of these distinct subgroups increased diagnostic accuracy. Two important principles were identified that have the potential to advance our understanding of typical development and developmental neuropsychiatric disorders. The first tenet suggests that typically developing children can be classified into distinct neuropsychological subgroups with high precision. The second tenet proposes that some of the heterogeneity in individuals with ADHD might be "nested" in this normal variation.psychiatric disorders | research domain criteria | cognition | modularity | executive functions

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Section: Current Approach Can Be Extended Across Multiple Modalities Formentioning

confidence: 92%

Section: Current Approach Can Be Extended Across Multiple Modalities Formentioning

confidence: 96%

Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD

Fair

Bathula

Nikolas

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

429

422

View full text Add to dashboard Cite

show abstract

“…Restingstate [40] and cognitive [41,42] neuroimaging findings have consistently shown hypoactivity in these circuits in ADHD patients. And activity in the cerebellum is correlated with the severity of ADHD symptoms [43] or the effect of MPH treatment [36] , which are in line with our correlation results.…”

Section: Discusstion U S I N G T H E R E H O M E T H O D W E F O U mentioning

confidence: 99%

Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study

et al. 2013

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Regional homogeneity (ReHo) and the amplitude of low-frequency fl uctuation (ALFF) are two approaches to depicting different regional characteristics of resting-state functional magnetic resonance imaging (RS-fMRI) data. Whether they can complementarily reveal brain regional functional abnormalities in attention-defi cit/hyperactivity disorder (ADHD) remains unknown. In this study, we applied ReHo and ALFF to 23 medication-naïve boys diagnosed with ADHD and 25 age-matched healthy male controls using whole-brain voxel-wise analysis. Correlation analyses were conducted in the ADHD group to investigate the relationship between the regional spontaneous brain activity measured by the two approaches and the clinical symptoms of ADHD. We found that the ReHo method showed widely-distributed differences between the two groups in the fronto-cingulo-occipitocerebellar circuitry, while the ALFF method showed a difference only in the right occipital area. When a larger smoothing kernel and a more lenient threshold were used for ALFF, more overlapped regions were found between ALFF and ReHo, and ALFF even found some new regions with group differences. The ADHD symptom scores were correlated with the ReHo values in the right cerebellum, dorsal anterior cingulate cortex and left lingual gyrus in the ADHD group, while no correlation was detected between ALFF and ADHD symptoms. In conclusion, ReHo may be more sensitive to regional abnormalities, at least in boys with ADHD, than ALFF. And ALFF may be complementary to ReHo in measuring local spontaneous activity. Combination of the two may yield a more comprehensive pathophy-siological framework for ADHD.

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“…In a similar manner, brain imaging can be used to detect a reduced activation and/or structural integrity of certain brain networks known to be associated with ADHD in certain patients, so that targeted treatments can be developed. To do so, however, the target of neuroimaging research needs to focus not on testing the ''neuroimaging correlates'' of behavioral categories (the uneasy leitmotiv in imaging research reports) but on addressing ''behavioral correlates'' or patterns associated with dysfunctions in particular brain networks [8]. Imaging, and neurobiological research in general, can be used for more than merely reiterating behavioral categories.…”

mentioning

confidence: 99%

Neurobiological measures to classify ADHD: a critical appraisal

Rommelse

Zeeuw

2014

Eur Child Adolesc Psychiatry

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Differentiating Frontostriatal and Fronto-Cerebellar Circuits in Attention-Deficit/Hyperactivity Disorder

Cited by 223 publications

References 87 publications

Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD

Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD

Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study

Neurobiological measures to classify ADHD: a critical appraisal

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