Relationship Between White Matter Abnormalities and Neuropsychological Measures in Children With ADHD

Sáenz, Ariadna Albajara; Villemonteix, Thomas; Slama, Hichem; Baijot, Simon; Mary, Alison; Balériaux, Danielle; Metens, Thierry; Kavec, Martin; Peigneux, Philippe; Massat, Isabelle

doi:10.1177/1087054718787878

Cited by 8 publications

(7 citation statements)

References 58 publications

(80 reference statements)

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“…Past DTI studies of ADHD show that the directionality of white matter integrity indices (e.g. both increases and decreases in FA) vary significantly between studies, even within similar tracts of interest, and it also includes findings of no differences in FA in major association tracts (9,66,67). A recent study divided combined-type ADHD from inattentive-type ADHD before comparing to controls, and found increases in FA in specific pathways for the subtypes, including higher FA in cingulum bundle for the combined-typed ADHD group (68).…”

Section: Discussionmentioning

confidence: 99%

Tracking Inhibitory Control in Youth With ADHD: A Multi-Modal Neuroimaging Approach

et al. 2020

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Background: A decreased ability to inhibit a speeded motor response is a well-studied deficit in Attention Deficit Hyperactivity Disorder (ADHD), and has been proposed as an endophenotype. Inhibitory control has been assessed reliably with the Stop Signal Task (SST) and is associated with prior documented differences in regional brain function using f-MRI. Here, we advance on these findings by examining their structural connectivity and white matter integrity with the goal of identifying a network underlying a core cognitive deficit in ADHD. Methods: Healthy controls (N=16) and youth diagnosed with ADHD (N=60) were recruited through the Province of Ontario Neurodevelopmental Disorders Network (POND) and the Hospital for Sick Children. An f-MRI activation difference map was coregistered with each participant's white matter imaging data, representing the specific network nodes where ADHD youth diverged significantly from controls while performing the SST. Probabilistic tractography was applied from these nodes, and white matter integrity indices such as fractional anisotropy (FA) within the tracts of interest were contrasted between the groups and correlated with SST output measures, including the measure of inhibitory control, the stop signal reaction time (SSRT). Results: The tracts that connected the network nodes belonged primarily to the inferior fronto-occipital fasciculus (IFOF) and cingulum. ADHD subjects showed trend differences in FA compared to controls between right inferior frontal gyrus (IFG) and right superior temporal gyrus (P= 0.09), right IFG and right posterior cingulate (P= 0.01), right anterior cingulate to posterior cingulate (p= 0.08), and between left middle temporal gyrus (BA 39) and left posterior cingulate (P=0.02). A trend correlation was found between radial diffusivity within IFG to STG white matter (IFOF) and SSRT. Conclusions: We identified potential white matter tracts related to deficient inhibitory control, elucidating the brain mechanisms of an important cognitive deficit in ADHD. These

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Section: Discussionmentioning

confidence: 99%

Tracking Inhibitory Control in Youth With ADHD: A Multi-Modal Neuroimaging Approach

et al. 2020

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“…So, this current study solely focused on TBSS findings to avoid the influence of various methodology. Moreover, after we reviewing TBSS studies in ADHD in recent 5 years, we found most literatures did not disclose any significant differences in FA between ADHD and HC group (Albajara Sáenz et al, 2020; Aoki et al, 2018; Bouziane et al, 2018; Saad et al, 2021; S. C. J. Wu et al, 2022).…”

Section: Discussionmentioning

confidence: 94%

“…More than 66% of ADHD cases have diverse comorbid disorders such as oppositional defiant, conduct disorders, and affective disorders (Adisetiyo et al, 2014; Mayes et al, 2009). The CBMA in participants with ADHD without psychiatric comorbidities allowed the investigation of WM changes that would be specific to ADHD (Albajara Sáenz et al, 2020). Most TBSS studies of noncomorbid ADHD reported no significant abnormalities in WM diffusion indices up to now.…”

Section: Discussionmentioning

confidence: 99%

“…A total of 317 full text articles were retrieved, of which 22 studies met the inclusion criteria (Albajara Sáenz et al, 2020;Aoki et al, 2018;Bode et al, 2015;Bouziane et al, 2018;Chuang et al, 2013;Cooper et al, 2014;Cortese et al, 2013;de Luis-García et al, 2015;Ercan et al, 2016;Nagel et al, 2011;O'Conaill et al, 2015;Ohta et al, 2020;Onnink et al, 2015;Saad et al, 2021;Silk et al, 2009;Ünsel-Bolat et al, 2020;van Ewijk et al, 2014;; S. C. J. Wu et al, 2022;Yoncheva et al, 2016;R.…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

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Altered White Matter Integrity in ADHD Revealed by Meta-analysis of Tract-based Spatial Statistics

Cui¹,

Wang²,

et al. 2023

J Atten Disord

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Objective: We conducted an updated coordinate-based meta-analysis (CBMA) to determine the most prominent and robust white matter (WM) abnormalities in ADHD based on tract-based spatial statistics (TBSS) findings. Method: The seed-based d mapping (SDM) software was applied to compare regional fractional anisotropy (FA) alterations in ADHD. Subgroup meta-analyses in the pure ADHD without comorbidity subgroup, the children and adolescents subgroup, and the adults subgroup were also explored, respectively. Meta-regression analysis was subsequently used to examine potential correlations between demographics and FA changes. Results: Only one cluster in the splenium of corpus callosum (CC) exhibited age-related FA decrease in ADHD individuals in the pooled meta-analysis. The adults ADHD subgroup revealed two clusters with reduced FA lied in the splenium and body of CC. Conclusion: This updated CBMA confirmed the WM abnormalities in the splenium of CC in ADHD, and improved our understanding of the pathogenesis of this neurodevelopmental disorder.

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“…Both motor and cognitive control in ADHD, as well as the potential benefit of oculomotor markers in determining response to treatment, has been investigated (Allman et al, 2012; Bucci et al, 2017; O’Driscoll et al, 2005). The oculomotor system overlaps with the cortical and subcortical regions that control inhibition, sustained attention, motor planning, working memory, and motor coordination, which are often reported to be impaired in individuals with ADHD (Albajara Sáenz et al, 2020; Bellgrove et al, 2006; Chambers et al, 2009; Goulardins et al, 2017). In addition, cognitive processes and oculomotor behaviors are closely related.…”

Section: Introductionmentioning

confidence: 99%

Objective Parameters in Attention Deficit Hyperactivity Disorder: Eye and Head Movements

Yıldırım Demirdöğen,

Akıncı,

Bozkurt

et al. 2024

J Atten Disord

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Objective: We aimed to evaluate eye and head movements, which are objective parameters in ADHD. Method: While the children were watching the course video task, which included the relevant (teacher and smart board) and irrelevant (any regions outside the relevant area) areas of interest, their eye movements were evaluated through eye tracking, and video recordings were made simultaneous. Head position estimation was made using through video recordings. The proportion of total fixation duration on areas of interest (PFDAOI) and saccade count, amplitude, velocity for eye movements, number of total head movements and angular change of head movement in x- y- z axes for head movements were compared. Results: Children with ADHD had lower PFDAOI on the relevant area, and had more saccade and head movements The angular change of head movement in the x-axis was higher in the ADHD group. Conclusion: In the assessment of ADHD, the eye and head movements may be particulary useful.

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Relationship Between White Matter Abnormalities and Neuropsychological Measures in Children With ADHD

Cited by 8 publications

References 58 publications

Tracking Inhibitory Control in Youth With ADHD: A Multi-Modal Neuroimaging Approach

Tracking Inhibitory Control in Youth With ADHD: A Multi-Modal Neuroimaging Approach

Altered White Matter Integrity in ADHD Revealed by Meta-analysis of Tract-based Spatial Statistics

Objective Parameters in Attention Deficit Hyperactivity Disorder: Eye and Head Movements

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