Quantitative synthetic MRI reveals grey matter abnormalities in children with drug-naïve attention-deficit/hyperactivity disorder

Su, Shu; Chen, Yingqian; Dai, Yan; Lin, Liping; Qian, Long; Zhou, Qin; Zou, Mengsha; Zhang, Hongyu; Liu, Meina; Xiang, Xianhong; Yang, Zhiyun

doi:10.1007/s11682-021-00514-8

Cited by 9 publications

(5 citation statements)

References 33 publications

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“…These intermittently weaker cross-network interactions between the SN, CEN and DMN were also shown to correlate with ADHD symptom severity in two independent child ADHD cohorts. Consistent with these findings, analyses of structural MRI using voxel-based morphometry in child and adolescent samples have consistently linked ADHD to grey matter structural alterations in hub regions of the CEN, SN and DMN (Francx et al, 2016 ; Su et al, 2021 ). These findings suggest that ADHD may stem from aberrancies in structure and function of higher-order cognitive networks that are also highly susceptible to disruption in childhood TBI.…”

Section: Introductionmentioning

confidence: 75%

Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study

et al. 2022

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Background Despite a well-established link between childhood traumatic brain injury (TBI) and elevated secondary attention-deficit/hyperactivity disorder (s-ADHD) symptomology, the neurostructural correlates of these symptoms are largely unknown. Based on the influential ‘triple-network model’ of ADHD, this prospective longitudinal investigation aimed to (i) assess the effect of childhood TBI on brain morphometry of higher-order cognitive networks proposed to play a key role in ADHD pathophysiology, including the default-mode network (DMN), salience network (SN) and central executive network (CEN); and (ii) assess the independent prognostic value of DMN, SN and CEN morphometry in predicting s-ADHD symptom severity after childhood TBI. Methods The study sample comprised 155 participants, including 112 children with medically confirmed mild-severe TBI ascertained from consecutive hospital admissions, and 43 typically developing (TD) children matched for age, sex and socio-economic status. High-resolution structural brain magnetic resonance imaging (MRI) sequences were acquired sub-acutely in a subset of 103 children with TBI and 34 TD children. Parents completed well-validated measures of ADHD symptom severity at 12-months post injury. Results Relative to TD children and those with milder levels of TBI severity (mild, complicated mild, moderate), children with severe TBI showed altered brain morphometry within large-scale, higher-order cognitive networks, including significantly diminished grey matter volumes within the DMN, SN and CEN. When compared with the TD group, the TBI group showed significantly higher ADHD symptomatology and higher rates of clinically elevated symptoms. In multivariable models adjusted for other well-established risk factors, altered DMN morphometry independently predicted higher s-ADHD symptomatology at 12-months post-injury, whilst SN and CEN morphometry were not significant independent predictors. Conclusions Our prospective study findings suggest that neurostructural alterations within higher-order cognitive circuitry may represent a prospective risk factor for s-ADHD symptomatology at 12-months post-injury in children with TBI. High-resolution structural brain MRI has potential to provide early prognostic biomarkers that may help early identification of high-risk children with TBI who are likely to benefit from early surveillance and preventive measures to optimise long-term neuropsychiatric outcomes.

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Section: Introductionmentioning

confidence: 75%

Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study

et al. 2022

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“…Images were acquired using the fast spoiled gradient recalled echo (FSPGR) sequence. Three-dimensional, high-resolution T1weighted anatomical scans were acquired with the following parameters: repetition time = 7.5 ms, echo time = 3.1 ms, p angle = 12°, 188 sagittal slices with slice thickness = 1 mm with no slice gap, a eld of view = 256×256 mm 2 , and data matrix = 256×256 (14,15). First, the radiologists checked T1W images for artifacts.…”

Section: 3image Acquisition and Processingmentioning

confidence: 99%

Grey and white matter abnormalities in children with type 2 and 3 SMA: A morphological assessment

Shen,

Yan,

et al. 2023

Preprint

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Aim This study investigated the changes in brain gray and white matter structure in SMA patients and their correlation with the severity of the disease. Method A total of 43 SMA patients (including 22 type II and 21 type III SMA patients) and 37 healthy controls were evaluated by MRI. The grey matter volume, grey matter thickness, grey matter surface area, and white matter volume of designated brain regions automatically segmented by FreeSurfer, were compared. We evaluate clinical characteristics of SMA and study the correlation between clinical characteristics and structural changes. Results SMA showed significant bilateral cortical superficial area loss in the frontal, parietal, and temporal lobes and global white matter volume decreases. Moreover, these patients were also found with an increased mean thickness of entire brain and right grey matter. An increased right postcentral gyrus superficial area, right central sulcus volume, and white matter volume of the right postcentral were associated with higher HFMSE scores. Interpretation: Type 2 and 3 children SMA had extensive, multifocal, symmetrical gray and white matter alterations. Postcentral gyrus degeneration of SMA was associated with the severity of muscular atrophy. The lack of SMN protein possibly interacted with cerebellar structural changes in somatosensory areas.

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“…In the recent studies, the VOI method was used more and more widely to evaluate the quantitative values of brain disease, such as Alzheimer's disease 12 and neurodevelopmental disorders. 13 Since T1, T2, and PD are essential data for calculation of synthetic images and evaluation of brain diseases, it is important that the relaxation time measurement is accurate and reproducible. Previous studies show good accuracy, repeatability, and reproducibility of T1, T2, and PD measurement using different head coils on a 1.5T scanner 14 and show robustness of this sequence across different vendors of 3.0T scanner.…”

Section: Introductionmentioning

confidence: 99%

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

Zheng,

Liu,

Yin

et al. 2024

MRMS

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Synthetic MRI is being increasingly used for the quantification of brain longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) values. However, the effect of fast imaging protocols on these quantitative values has not been fully estimated. The purpose of this study was to investigate the effect of fast scan parameters on T1, T2, and PD measured with a multi-dynamic multi-echo (MDME) sequence of normal brain at 3.0T. Thirty-four volunteers were scanned using 3 MDME sequences with different scan times (named Fast, 2 min, 29 sec; Routine, 4 min, 07 sec; and Research, 7 min, 46 sec, respectively). The measured T1, T2, and PD in 18 volumes of interest (VOI) of brain were compared between the 3 sequences using rank sum test, t test, coefficients of variation (CVs) analysis, correlation analysis, and Bland-Altman analysis. We found that even though T1, T2, and PD were significantly different between the 3 sequences in most of the brain regions, the intersequence CVs were relatively low and linear correlation were high. Bland-Altman plots showed that most of the values fall within the 95% prediction limits. We concluded that fast imaging protocols of MDME sequence used in our study can potentially be used for quantitative evaluation of brain tissues. Since changing scan parameters can affect the measured T1, T2, and PD values, it is necessary to use consistent scan parameter for comparing or following up cases quantitatively.

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Quantitative synthetic MRI reveals grey matter abnormalities in children with drug-naïve attention-deficit/hyperactivity disorder

Cited by 9 publications

References 33 publications

Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study

Association of neurostructural biomarkers with secondary attention-deficit/hyperactivity disorder (ADHD) symptom severity in children with traumatic brain injury: a prospective cohort study

Grey and white matter abnormalities in children with type 2 and 3 SMA: A morphological assessment

Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol

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