Neuroimaging in Attention-Deficit Hyperactivity Disorder: Beyond the Frontostriatal Circuitry

Cherkasova, Mariya V.; Hechtman, Lily

doi:10.1177/070674370905401002

Cited by 123 publications

(87 citation statements)

References 149 publications

(234 reference statements)

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“…Although the evidence from individual studies and meta-analyses has pointed to frontostriatal regions as being anomalous (reduced) in ADHD, there is also substantial evidence of structural anomalies outside frontostriatal circuitry (Cherkasova and Hechtman 2009) including reductions in cortical temporal lobes (Castellanos et al 2002;Sowell et al 2003;Carmona et al 2005), parietal lobes (Filipek et al 1997;Castellanos et al 2002;Carmona et al 2005), and occipital lobes (Filipek et al 1997;Castellanos et al 2002;Durston et al 2004). Reductions in medial temporal volumes, as well as striatal and anterior cingulate volumes, are correlated with performance on measures of response inhibition (i.e., stop-signal reaction time) in boys with ADHD (McAlonan et al 2009).…”

Section: Nonfrontal Cortical Anomalies In Adhdmentioning

confidence: 99%

ADHD: Volumetry, Motor, and Oculomotor Functions

Mahone

2011

Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and Its Treatment

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The use of quantitative neuroimaging (volumetry), motor, and oculomotor assessments for studying children with attention-deficit/hyperactivity disorder (ADHD) has grown dramatically in the past 20 years. Most evidence to date suggests that anomalous basal ganglia development plays an important role in early manifestation of ADHD; however, widespread cerebellar and cortical delays are also observed and are associated with the behavioral (cognitive, motor, oculomotor) phenotype in children with ADHD. These motor and "executive" control systems appear to develop in parallel, such that both systems display a similar protracted developmental trajectory, with periods of rapid growth in elementary years and continued maturation into young adulthood. Development of each system is dependent on the functional integrity and maturation of related brain regions, suggesting a shared neural circuitry that includes frontostriatal systems and the cerebellum (i.e., those identified as anomalous in studies of volumetry in ADHD). Motor and oculomotor paradigms provide unique opportunities to examine executive control processes that exist at the interface between movement and cognition in children with ADHD, also linking cognition and neurological development. The observed pattern of volumetric differences, together with the known parallel development of motor and executive control systems, appears to predict motor and oculomotor anomalies in ADHD, which are highly relevant, yet commonly overlooked in clinical settings.

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Section: Nonfrontal Cortical Anomalies In Adhdmentioning

confidence: 99%

ADHD: Volumetry, Motor, and Oculomotor Functions

Mahone

2011

Behavioral Neuroscience of Attention Deficit Hyperactivity Disorder and Its Treatment

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“…Volumetric and functional neuroimaging methods have discovered various morphological and neurophysiological correlates in different brain areas in ADHD (4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17). Extensive and consistent fi ndings are the alterations of prefrontal cortex volume and thickness (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31), as well as hypoperfusion of frontal areas during resting state (32)(33)(34)(35)(36) and performance tests (37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48).…”

mentioning

confidence: 99%

Correlations of ADHD symptoms with neurometabolites measured by 1H magnetic resonance spectroscopy

Husarova¹,

Bittšanský²,

Ondrejka³

et al. 2014

BLL

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Abstract:Objectives: Despite the number of studies on neurometabolite changes in ADHD (Attention defi cit/ hyperactivity disorder), there is lack of evidence on neurometabolite associations with ADHD symptoms. Background: We aimed to fi nd the correlations of neurometabolites with ADHD symptoms. Methods: Twenty ADHD children were examined by means of 1 H-MRS. The spectra were taken from dorsolateral prefrontal cortex (DLPFC) and white matter behind DLPFC, bilaterally. Neurometabolites were correlated with ADHD-RS-IV (ADHD-Rating Scales IV), CPRS (Conners Parent rating Scale) and DPREMB (Daily Parent Rating of Evening and Morning Behavior) scores. Results: NAA/Cr (N-acetylaspartate/creatine) in the right DLPFC positively correlated with CPRS subscale IV learning problems and negatively correlated in the left white matter with DPREMB morning behavior subscale and ADHD-RS-IV score. Glx/Cr (glutamate + glutamine/creatine) positively correlated in the right white matter with ADHD-RS-IV and negatively correlated in the left white matter with DPREMB morning behavior subscale score. Cho/Cr (choline/creatine) in the left white matter negatively correlated with DPREMB morning behavior subscale and ADHD-RS-IV score. Conclusion: ADHD symptoms could result from different activities of the left-and right-hemisphere prefrontal circuits. In consequence to impulses to novel task searching the increased right prefrontal circuit activity could be mediated by different motivational control (Fig. 9, Ref. 73). Text in PDF www.elis.sk.

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“…Another intervention recently reported using adaptive software informed by neuroscience and which targets the IPS may be helpful in overcoming the challenge of dyscalculia (Butterworth et al, 2011). Other neuroimaging studies have centred on individuals with identified clinical conditions such as Attention-Deficit/Hyperactivity Disorder (ADHD) (Cherkasova & Hechtman, 2009;Karch et al, 2010), autism (Ecker et al, 2010) prevalence of about 5-10% of the population and is thought to result from executive function deficit, although there is a lack of uniformity in manifestation of the impairment (Lambek et al, 2010). Characterised by behavioural traits such as inattention, distractibility and hyperactivity, a closer study of the literature suggest that reward processing and regulation are also impaired (see Cherkasova & Hechtman [2009] for a review of the studies).…”

Section: Improving Cognitive Performancementioning

confidence: 99%

“…Other neuroimaging studies have centred on individuals with identified clinical conditions such as Attention-Deficit/Hyperactivity Disorder (ADHD) (Cherkasova & Hechtman, 2009;Karch et al, 2010), autism (Ecker et al, 2010) prevalence of about 5-10% of the population and is thought to result from executive function deficit, although there is a lack of uniformity in manifestation of the impairment (Lambek et al, 2010). Characterised by behavioural traits such as inattention, distractibility and hyperactivity, a closer study of the literature suggest that reward processing and regulation are also impaired (see Cherkasova & Hechtman [2009] for a review of the studies). Lower academic performance in collegeaged students with ADHD and impaired WM, particularly the auditory component of a WM task, suggest that difficulties persist into adulthood (Gropper & Tannock, 2009).…”

Section: Improving Cognitive Performancementioning

confidence: 99%

Towards an understanding of neuroscience for science educators

Oliver

2011

Studies in Science Education

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Advances in neuroscience have brought new insights to the development of cognitive functions. These data are of considerable interest to educators concerned with how students learn. This review documents some of the recent findings in neuroscience, which is richer in describing cognitive functions than affective aspects of learning. A brief overview is presented here of the techniques used to generate data from imaging and how these findings have the possibility to inform educators. There are implications for considering the impact of neuroscience at all levels of education -from the classroom teacher and practitioner to policy. This relatively new cross-disciplinary area of research implies a need for educators and scientists to engage with each other. What questions are emerging through such dialogues between educators and scientists are likely to shed light on, for example, reward, motivation, working memory, learning difficulties, bilingualism and child development. The sciences of learning are entering a new paradigm.

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Neuroimaging in Attention-Deficit Hyperactivity Disorder: Beyond the Frontostriatal Circuitry

Cited by 123 publications

References 149 publications

ADHD: Volumetry, Motor, and Oculomotor Functions

ADHD: Volumetry, Motor, and Oculomotor Functions

Correlations of ADHD symptoms with neurometabolites measured by 1H magnetic resonance spectroscopy

Towards an understanding of neuroscience for science educators

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