A diffusion tensor magnetic resonance imaging study of paediatric patients with severe non‐traumatic brain injury

Molteni, Erika; Rocca, Maria A.; Strazzer, Sandra; Pagani, Elisabetta; Colombo, Katia; Arrigoni, Filippo; Boffa, Giacomo; Copetti, Massimiliano; Pastore, Valentina; Filippi, Massimo

doi:10.1111/dmcn.13332

Cited by 15 publications

(21 citation statements)

References 25 publications

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“…This method includes a new registration method called diffeomorphic anatomical registration involving exponentiated Lie algebra (DARTEL) 31 . This method provides clearer segmentation and better registration with regards to boundaries between gray matter and white matter compared to optimized VBM 78,79 . With this method, we conducted a VBM analysis using the SPM12 VBM-DARTEL procedure (SPM12, http:// www.fil.ion.ucl.ac.uk/spm/,Wellcome Trust Centre for Neuroimaging, London, UK) 80 .…”

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confidence: 99%

“…FDR thresholding controls the expected proportion of false positives only among brain regions showing significance 78 . Although conservative levels of FDR (e.g., 0.01-0.05) can be used in neuroimaging studies, FDR control levels in the range of 0.1-0.2 are originally and practically known to be acceptable and have been applied in several neuroimaging studies 33,78,79,88,89 . FDR corrected p-values were calculated by using spm_P_FDR.m with all regional p-value inputs, which is a MATLAB code included in the SPM toolbox.…”

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confidence: 99%

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Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Sung

Park

Kim

et al. 2020

Sci Rep

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Although sleep disturbances are highly prevalent in adolescents, neuroimaging evidence on the effects of sleep disturbances on their developing brains remains limited. Therefore, we explored gray matter volumes (GMVs) at the whole-brain level and investigated their relationship to sleep disturbances in a sample of Korean adolescents in the general population. We recruited participants from one middle school and high school. All participants and their legal guardians gave informed consent before participating in our study. We used component 5 of the Pittsburgh Sleep Quality Index to measure sleep disturbances and conducted a voxel-based morphometry-DARTEL procedure to measure GMVs. We performed partial correlation analyses to examine whether the GMVs were associated with sleep disturbances. A total of 56 adolescents participated in this study. Our results revealed that GMVs in multiple global regions were negatively correlated with sleep disturbances. Moreover, most of these identified regions belong to large-scale brain networks categorized by functional neuroimaging studies. We found an association between regional GMVs in multiple global regions involved in large-scale networks and the severity of sleep disturbances in the adolescent population. Based on this evidence and previous neuroimaging evidence, we suggest that structural alterations in the networks may be linked to sleep disturbances. Sleep disturbances and their harmful effects have been increasingly reported in many children and adolescents worldwide 1. In a representative sample of 17,102 children and adolescents, approximately 20% reported sleep disturbances and an additional 13% reported difficulties falling asleep 1. Similarly, 38% of 1,000 school going adolescents suffered from sleep disturbances 2. A recent population-based study reported that 26% of 1,180 Brazilian children and adolescents aged 0-19 years experienced sleep disturbances, had inadequate sleep habits, and had sleep durations lower than the recommended duration 3. While sleep disturbances in adolescents may seem normative, sleep problems are known to be associated with a wide spectrum of physical and mental health problems, such as obesity, growth hormone deficiency, substance abuse, depression, suicidality, anxiety, difficulties with impulse control, and the compulsive use of social media and video games 4-12. Moreover, strong associations between sleep problems and various cognitive functions, including memory, learning, and attention, have been reported by an established body of previous research 13-15 .

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Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Sung

Park

Kim

et al. 2020

Sci Rep

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“…In adults, electroencephalography has proved useful for disentangling VS/UWS from MCS patients, since a worse background activity and lack of any electroencephalographic reactivity might characterize VS/UWS, whereas a better electroencephalographic background organization can identify patients with higher level of consciousness (38). Recent studies have examined these methods in small cohorts of children with DoC,(25,26,39) exploring sub-tentorial diffusion tensor imaging measures as diagnostic biomarkers and electroencephalographic sleep/wake modulation as a prognostic biomarker.While advanced neuroimaging and neurophysiological techniques, such as event related potentials, visual evoked potentials and fMRI can supplement clinical evaluation, availability, methodological constraints and challenges in data interpretation might limit their use in clinical routine of patients with DoC (40). Outcome from DoC is difficult to predict in children and adults; however, similar to adults, levels of consciousness (MCS versus VS/UWS) have been associated with outcome (10,11,41).…”

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confidence: 99%

International survey on diagnostic and prognostic procedures in pediatric disorders of consciousness

et al. 2019

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“…The study by Molteni et al . provides insight into white matter pathophysiology of patients with or without minimal consciousness caused by non‐traumatic brain injury.…”

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confidence: 99%

“…Because Molteni et al . focused on a homogeneous group of participants by excluding patients with trauma, the number of participants was small.…”

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confidence: 99%

Diffusion tensor imaging in non‐traumatic brain injury

Aoki

Inokuchi

2016

Develop Med Child Neuro

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A diffusion tensor magnetic resonance imaging study of paediatric patients with severe non‐traumatic brain injury

Abstract: In paediatric UWS/MCS, the severity of clinical disability correlates with white matter tract abnormalities.

Cited by 15 publications

References 25 publications

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

Structural Alterations in Large-scale Brain Networks and Their Relationship with Sleep Disturbances in the Adolescent Population

International survey on diagnostic and prognostic procedures in pediatric disorders of consciousness

Diffusion tensor imaging in non‐traumatic brain injury

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