White Matter Skeleton Research Articles

76 White matter microstructure and motor function at 8 years of age in children born preterm

Abstract Background White matter injury (WMI) in preterm neonates is characterized by focal areas of white matter necrosis (punctate WMI) and more diffuse impairments in white matter (dysmaturation). White matter dysmaturation is reflected as lower fractional anisotropy (FA) measured by diffusion tensor imaging (DTI). Reduced white matter FA in neonatal DTI has been associated with adverse motor function at early ages in children born preterm. Yet, how white matter FA at school-age relates to motor function at this later age is largely unknown. Objectives To assess the relationship between white matter FA and motor function at 8 years of age in children born very preterm. Design/Methods 110 children born very preterm (mean birth gestational age [GA] 28.19 weeks, range 24-32 weeks) completed MRI scans in the neonatal period and again at 8 years of age (mean age 8.35 years, SD = 0.38). Neonatal WMI was quantified on the neonatal T1-weighted images with significant WMI defined as WMI volume > 40 mm3. FA at 8 years was assessed using tract-based spatial statistics (TBSS). Movement Assessment Battery for Children, 2nd Ed (M-ABC-2) was used to assess fine and gross motor function at 8 years of age. Motor outcomes from the M-ABC total score were grouped as: Significant Movement Difficulty < 56 (below 5th percentile, n = 31), At-risk of Movement Difficulty 57-67 (5th-15th percentile, n = 23), and Unlikely to Have Movement Difficulty > 68 (above 15th percentile, n = 56). FA in the white matter skeleton was compared between motor outcome groups using threshold-free cluster enhancement (TFCE), adjusting for birth GA and significant WMI, and correcting for multiple comparisons across skeleton voxels using permutation testing with 5000 permutations. Results Table 1 outlines descriptive differences in the three motor outcome groups. Children born preterm who are Unlikely to Have Movement Difficulty at 8 years had significantly higher FA (p < .05) compared to those At-risk of or with Significant Movement Difficulty, especially in the corpus collosum (Figure 1), controlling for birth GA and significant neonatal WMI. Those with Significant Movement Difficulty had the lowest FA. Conclusion In children born preterm at age 8 years, white matter FA is associated with motor performance, independent of significant neonatal WMI. Our findings indicate that white matter dysmaturation persists and has functional significance through school-age.

White matter integrity upon progesterone antagonism in individuals with premenstrual dysphoric disorder: A randomized placebo-controlled diffusion tensor imaging study

BackgroundPremenstrual dysphoric disorder (PMDD) is a depressive disorder triggered by fluctuations of progesterone and estradiol during the luteal phase of the menstrual cycle. Selective progesterone receptor modulation (SPRM), while exerting an antagonistic effect on progesterone and maintaining estradiol on moderate levels, has shown beneficial effects on the mental symptoms of PMDD. Progesterone is also known for its neuroprotective effects, while synthetic progestins have been suggested to promote myelination. However, the impact of SPRM treatment on white matter microstructure is unexplored. MethodsDiffusion tensor imaging was employed to collect data on white matter integrity in patients with PMDD, before and after treatment with ulipristal acetate (an SPRM) or placebo, as part of a double-blind randomized controlled-trial. Tract based spatial statistics were performed to investigate SPRM treatment vs. placebo longitudinal effects on fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD), on the whole white matter skeleton. ResultsVoxel-wise analyses indicated no change over time in any white matter microstructure metrics in individuals treated with SPRM versus placebo. Improvement in PMDD symptoms did not correlate with changes in white matter microstructure. In secondary, exploratory, cross-sectional comparisons during treatment, the SPRM group displayed lower FA and higher MD, RD, and AD in several tracts. ConclusionThe main findings suggest that SPRM treatment did not impact white matter microstructure compared with placebo. However, secondary exploratory analyses yielded between-group differences after treatment, which call for further investigation on the tracts potentially impacted by progesterone antagonism. Clinical trial registrationEUDRA-CT 2016–001719-19; “Selective progesterone receptor modulators for treatment of premenstrual dysphoric disorder. A randomized, double-blind, placebo-controlled study.”; https://www.clinicaltrialsregister.eu/ctr-search/trial/2016-001719-19/SE

Noninvasive Evaluation of Acupuncture-Induced Cortical Plasticity in Advanced Rehabilitation of Facial Paralysis.

Facial paralysis (FP), which resulted from head and neck cancer resection, significantly impacts patients' quality of life. Traditional assessments rely on subjective evaluations and electromyography, whereas functional magnetic resonance imaging offers a noninvasive alternative for enhanced rehabilitation. Acupuncture has shown promise in promoting cerebral cortex reorganization, yet the precise relationship between acupuncture-induced structural and functional changes remains unclear, necessitating further investigation into therapeutic mechanisms. Fifty-five patients afflicted with FP underwent evaluations using voxel-mirrored homotopic connectivity (VMHC) and tract-based spatial statistics and were divided into the acupuncture intervention group (n = 35) and pseudo intervention group (n = 20). Comparative analyses of metrics pre and postintervention were conducted to delineate therapy-induced modifications in acupuncture intervention. The postacupuncture effect between groups to verify the necessity of accurate positioning for the rehabilitation of FP. Patients with FP showed deficits in VMHC in regions of the postcentral, precentral, and parietal areas. Corpus callosum and internal capsule showed significantly increased fractional anisotropy of the white matter skeleton in tract-based spatial statistics after treatment. Comparison postintervention results between groups exhibited deficits in VMHC and increased fractional anisotropy in regions of the corpus callosum in the acupuncture intervention group. Early acupuncture intervention may suppress cortical hyperactivation and restore interhemispheric inhibition across the corpus callosum to inhibit maladaptive structural plasticity. Precise acupoint localization is crucial for effective therapy, highlighting the potential of postacupuncture cortical space data for refining therapeutic strategies.

Impact of excessive abdominal obesity on brain microstructural abnormality in schizophrenia

Significant evidence links obesity and schizophrenia (SZ), but the brain associations are still largely unclear. 48 people with SZ were divided into two subgroups: patients with lower waist circumference (SZ-LWC: n = 24) and patients with higher waist circumference (SZ-HWC: n = 24). Healthy controls (HC) were included for comparison (HC: n = 27). Using tract-based spatial statistics, we compared fractional anisotropy (FA) of the whole-brain white matter skeleton between these three groups (SZ-LWC, SZ-HWC, HC). Using Free Surfer, we compared whole-brain cortical thickness and the selected subcortical volumes between the three groups. FA of widespread white matter and the mean cortical thickness in the right temporal lobe and insular cortex were significantly lower in the SZ-HWC group than in the HC group. The FA of regional white matter was significantly lower in the SZ-LWC group than in the HC group. There were no significant differences in mean subcortical volumes between the groups. Additionally, the cognitive performances were worse in the SZ-HWC group, who had more severe triglycerides elevation. This study provides evidence for microstructural abnormalities of white matter, cortical thickness and neurocognitive deficits in SZ patients with excessive abdominal obesity.

A worldwide study of white matter microstructural alterations in people living with Parkinson’s disease

The progression of Parkinson’s disease (PD) is associated with microstructural alterations in neural pathways, contributing to both motor and cognitive decline. However, conflicting findings have emerged due to the use of heterogeneous methods in small studies. Here we performed a large diffusion MRI study in PD, integrating data from 17 cohorts worldwide, to identify stage-specific profiles of white matter differences. Diffusion-weighted MRI data from 1654 participants diagnosed with PD (age: 20–89 years; 33% female) and 885 controls (age: 19–84 years; 47% female) were analyzed using the ENIGMA-DTI protocol to evaluate white matter microstructure. Skeletonized maps of fractional anisotropy (FA) and mean diffusivity (MD) were compared across Hoehn and Yahr (HY) disease groups and controls to reveal the profile of white matter alterations at different stages. We found an enhanced, more widespread pattern of microstructural alterations with each stage of PD, with eventually lower FA and higher MD in almost all regions of interest: Cohen’s d effect sizes reached d = −1.01 for FA differences in the fornix at PD HY Stage 4/5. The early PD signature in HY stage 1 included higher FA and lower MD across the entire white matter skeleton, in a direction opposite to that typical of other neurodegenerative diseases. FA and MD were associated with motor and non-motor clinical dysfunction. While overridden by degenerative changes in the later stages of PD, early PD is associated with paradoxically higher FA and lower MD in PD, consistent with early compensatory changes associated with the disorder.

Association between metabolic syndrome and white matter integrity in young and mid-age post-9/11 adult Veterans.

Metabolic syndrome has been associated with reduced brain white matter integrity in older individuals. However, less is known about how metabolic syndrome might impact white matter integrity in younger populations. This study examined metabolic syndrome-related global and regional white matter integrity differences in a sample of 537 post-9/11 Veterans. Metabolic syndrome was defined as ≥3 factors of: increased waist circumference, hypertriglyceridemia, low high-density lipoprotein cholesterol, hypertension, and high fasting glucose. T1 and diffusion weighted 3T MRI scans were processed using the FreeSurfer image analysis suite and FSL Diffusion Toolbox. Atlas-based regions of interest were determined from a combination of the Johns Hopkins University atlas and a Tract-Based Spatial Statistics-based FreeSurfer WMPARC white matter skeleton atlas. Analyses revealed individuals with metabolic syndrome (n = 132) had significantly lower global fractional anisotropy than those without metabolic syndrome (n = 405), and lower high-density lipoprotein cholesterol levels was the only metabolic syndrome factor significantly related to lower global fractional anisotropy levels. Lobe-specific analyses revealed individuals with metabolic syndrome had decreased fractional anisotropy in frontal white matter regions compared with those without metabolic syndrome. These findings indicate metabolic syndrome is prevalent in this sample of younger Veterans and is related to reduced frontal white matter integrity. Early intervention for metabolic syndrome may help alleviate adverse metabolic syndrome-related brain and cognitive effects with age.

Subcortical white matter differences according to presence of disorders of consciousness in hypoxic-ischemic brain injury: a tract-based spatial statistics study.

We investigated differences in subcortical white matter according to the presence disorders of consciousness (DOC) in patients with hypoxic-ischemic brain injury (HI-BI), using tract-based spatial statistics (TBSS). Thirty-two consecutive patients with HI-BI were recruited. The patients were assigned in group A [preserved consciousness (Glasgow Coma Scale: 15 and Coma Recovery Scale-revised (CRS-R): 23, 9 patients)] or group B [DOC present (Glasgow Coma Scale <15 and CRS-R < 23, 20 patients)]. Voxel-wise statistical analysis of fractional anisotropy data was performed by using TBSS as implemented in the FMRIB Software Library. We calculated mean fractional anisotropy values across the white matter skeleton and within 48 regions of interest (ROIs) based on intersections between the skeleton and the probabilistic Johns Hopkins University white matter atlases. Among the 48 ROIs examined, the fractional anisotropy values of two ROIs (the left superior corona radiata, and left tapetum) were significantly lower in group B than in group A (P < 0.05). No significant differences were observed, however, in the other 46 ROIs (P > 0.05). Our results suggest that abnormalities of the superior corona radiata and tapetum may be critical for DOC presence in patients with HI-BI.

Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder.

The neuronal differences contributing to the etiology of autism spectrum disorder (ASD) are still not well defined. Previous studies have suggested that myelin and axons are disrupted during development in ASD. By combining structural and diffusion MRI techniques, myelin and axons can be assessed using extracellular water, aggregate g-ratio, and a new approach to calculating axonal conduction velocity termed aggregate conduction velocity, which is related to the capacity of the axon to carry information. In this study, several innovative cellular microstructural methods, as measured from magnetic resonance imaging (MRI), are combined to characterize differences between ASD and typically developing adolescent participants in a large cohort. We first examine the relationship between each metric, including microstructural measurements of axonal and intracellular diffusion and the T1w/T2w ratio. We then demonstrate the sensitivity of these metrics by characterizing differences between ASD and neurotypical participants, finding widespread increases in extracellular water in the cortex and decreases in aggregate g-ratio and aggregate conduction velocity throughout the cortex, subcortex, and white matter skeleton. We finally provide evidence that these microstructural differences are associated with higher scores on the Social Communication Questionnaire (SCQ) a commonly used diagnostic tool to assess ASD. This study is the first to reveal that ASD involves MRI-measurable in vivo differences of myelin and axonal development with implications for neuronal and behavioral function. We also introduce a novel formulation for calculating aggregate conduction velocity, that is highly sensitive to these changes. We conclude that ASD may be characterized by otherwise intact structural connectivity but that functional connectivity may be attenuated by network properties affecting neural transmission speed. This effect may explain the putative reliance on local connectivity in contrast to more distal connectivity observed in ASD.

Microstructural abnormality of white matter tracts in rheumatoid arthritis

BackgroundStructural and functional brain imaging studies have reported abnormalities of gray matter morphology and functional activities in patients with rheumatoid arthritis (RA). However, it is largely unknown whether patients with RA show alterations of white matter microstructural organization. ObjectivesTo automatically identify alteration of white matter microstructure in patients with RA and further examine how this alteration associates with clinical characteristics. MethodsThis single-institutional prospective study included 66 participants (33 patients with RA [52 ± 9 years, 29 women] and 33 sex/age-matched healthy controls [53 ± 12 years, 27 women]), who underwent diffusion MRI scan from January 2021 to December 2021. The white matter microstructure was assessed using fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. Voxelwise analyses were conducted on white matter skeleton using an automated, observer-independent tract-based spatial statistics analysis. The relationship between white matter microstructural alterations and clinical and neuropsychological variables was evaluated using correlation analysis. ResultsCompared with healthy controls, patients with RA exhibited lower fractional anisotropy in several major white matter tracts (threshold-free cluster enhancement at P < 0.05 for multiple comparison correction, permutation test), involving the forceps minor, bilateral inferior fronto-occipital fasciculus, bilateral anterior thalamic radiation, and bilateral uncinate fasciculus. Lower fractional anisotropy values in the patients with RA were significantly associated with pain-related assessments, including tender joint count (r = -0.43, P = 0.015), Clinical Disease Activity Index score (r = -0.36, P = 0.049), pain severity rated through visual analogue scale (r = -0.45, P = 0.012), and Simplified Disease Activity Index score (r = -0.36, P = 0.045). No significant group difference was found in mean diffusivity, axial diffusivity, and radial diffusivity. ConclusionsWe report the first anatomical evidence for aberrant microstructure organization of several major white matter tracts and its associations with pain processing in patients with rheumatoid arthritis.

Analysis of white matter tract integrity using diffusion kurtosis imaging reveals the correlation of white matter microstructural abnormalities with cognitive impairment in type 2 diabetes mellitus.

This study aimed to identify disruptions in white matter integrity in type 2 diabetes mellitus (T2DM) patients by utilizing the white matter tract integrity (WMTI) model, which describes compartment-specific diffusivities in the intra- and extra-axonal spaces, and to investigate the relationship between WMTI metrics and clinical and cognitive measurements. A total of 73 patients with T2DM and 57 healthy controls (HCs) matched for age, sex, and education level were enrolled and underwent diffusional kurtosis imaging and cognitive assessments. Tract-based spatial statistics (TBSS) and atlas-based region of interest (ROI) analysis were performed to compare group differences in diffusional metrics, including fractional anisotropy (FA), mean diffusivity (MD), axonal water fraction (AWF), intra-axonal diffusivity (Daxon), axial extra-axonal space diffusivity (De,//), and radial extra-axonal space diffusivity (De,⊥) in multiple white matter (WM) regions. Relationships between diffusional metrics and clinical and cognitive functions were characterized. In the TBSS analysis, the T2DM group exhibited decreased FA and AWF and increased MD, De,∥, and De,⊥ in widespread WM regions in comparison with the HC group, which involved 56.28%, 32.07%, 73.77%, 50.47%, and 75.96% of the mean WM skeleton, respectively (P < 0.05, TFCE-corrected). De,⊥ detected most of the WM changes, which were mainly located in the corpus callosum, internal capsule, external capsule, corona radiata, posterior thalamic radiations, sagittal stratum, cingulum (cingulate gyrus), fornix (stria terminalis), superior longitudinal fasciculus, and uniform fasciculus. Additionally, De,⊥ in the genu of the corpus callosum was significantly correlated with worse performance in TMT-A (β = 0.433, P < 0.001) and a longer disease duration (β = 0.438, P < 0.001). WMTI is more sensitive than diffusion tensor imaging in detecting T2DM-related WM microstructure abnormalities and can provide novel insights into the possible pathological changes underlying WM degeneration in T2DM. De,⊥ could be a potential imaging marker in monitoring disease progression in the brain and early intervention treatment for the cognitive impairment in T2DM.

Brain MRI diffusion abnormalities associated with arteriolosclerosis pathology

AbstractBackgroundBrain arteriolosclerosis is one of the main pathologies of cerebral small vessel disease. It involves the thickening of the vessel wall and stenosis of arterioles causing lower cognitive and motor function, and higher odds of dementia. This work intends to explore the independent association of brain arteriolosclerosis with diffusion abnormalities in the white matter (WM) of community‐based older adults.MethodParticipants comprised community‐dwelling older adults (N = 175) from four studies of aging (Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Clinical Core of the Rush Alzheimer’s Disease Research Center) (Fig.1A). Whole brain 3D T1w MPRAGE, T2w FLAIR, and diffusion‐weighted MRI (2×2×2mm3, b = 1,000s/mm2 for 40 diffusion gradient directions, and 6 b = 0s/mm2 volumes) data were acquired in‐vivo using 3T MRI scanners. The fractional anisotropy (FA) and trace maps were transformed to the space of the IIT Human Brain Atlas v.5.0 and projected onto the WM skeleton of the IIT atlas. Following a participant’s death, the extracted brain underwent a detailed evaluation by a neuropathologist. Assessed neuropathologies included arteriolosclerosis, Alzheimer’s pathology, LATE‐NC, gross and microscopic infarcts, atherosclerosis, and cerebral amyloid angiopathy (Fig.1B). Linear regression was used in voxels of the WM skeleton to test the association of FA or trace with the severity of arteriolosclerosis controlling for all other neuropathologies, white matter hyperintensities (WMH), demographic variables (age at scan, sex, years of education), antemortem interval to imaging, and scanner. The statistical analyses were carried out using FSL’s PALM tool with 5,000 permutations and threshold‐free cluster enhancement. The significance level was set at p&lt;0.05, after family‐wise error rate (FWER) correction for multiple testing.ResultArteriolosclerosis score was associated with lower FA (Fig.2) and higher trace (Fig.3) of the diffusion tensor throughout the brain in multiple WM regions, even in areas typically free of WMH. Other neuropathologies or the effects of WMH on diffusion characteristics had no impact on these relationships.ConclusionThe current study showed that, regardless of the impact of other neuropathologies or visible WMH, brain arteriolosclerosis in older persons is associated with diffusion abnormalities that extend throughout the WM.

Brain MRI diffusion abnormalities associated with arteriolosclerosis pathology

AbstractBackgroundBrain arteriolosclerosis is one of the main pathologies of cerebral small vessel disease. It involves the thickening of the vessel wall and stenosis of arterioles causing lower cognitive and motor function, and higher odds of dementia. This work intends to explore the independent association of brain arteriolosclerosis with diffusion abnormalities in the white matter (WM) of community‐based older adults.MethodParticipants comprised community‐dwelling older adults (N = 175) from four studies of aging (Rush Memory and Aging Project, Religious Orders Study, Minority Aging Research Study, and Clinical Core of the Rush Alzheimer’s Disease Research Center) (Fig.1A). Whole brain 3D T1w MPRAGE, T2w FLAIR, and diffusion‐weighted MRI (2×2×2mm3, b = 1,000s/mm2 for 40 diffusion gradient directions, and 6 b = 0s/mm2 volumes) data were acquired in‐vivo using 3T MRI scanners. The fractional anisotropy (FA) and trace maps were transformed to the space of the IIT Human Brain Atlas v.5.0 and projected onto the WM skeleton of the IIT atlas. Following a participant’s death, the extracted brain underwent a detailed evaluation by a neuropathologist. Assessed neuropathologies included arteriolosclerosis, Alzheimer’s pathology, LATE‐NC, gross and microscopic infarcts, atherosclerosis, and cerebral amyloid angiopathy (Fig.1B).Linear regression was used in voxels of the WM skeleton to test the association of FA or trace with the severity of arteriolosclerosis controlling for all other neuropathologies, white matter hyperintensities (WMH), demographic variables (age at scan, sex, years of education), antemortem interval to imaging, and scanner. The statistical analyses were carried out using FSL’s PALM tool with 5,000 permutations and threshold‐free cluster enhancement. The significance level was set at p&lt;0.05, after family‐wise error rate (FWER) correction for multiple testing.ResultArteriolosclerosis score was associated with lower FA (Fig.2) and higher trace (Fig.3) of the diffusion tensor throughout the brain in multiple WM regions, even in areas typically free of WMH. Other neuropathologies or the effects of WMH on diffusion characteristics had no impact on these relationships.ConclusionThe current study showed that, regardless of the impact of other neuropathologies or visible WMH, brain arteriolosclerosis in older persons is associated with diffusion abnormalities that extend throughout the WM.

Staging Neurodegeneration Across the AD Continuum

AbstractBackgroundWhile amyloid and tau staging are ubiquitous in Alzheimer’s disease (AD), there are no equivalent staging techniques for AD‐related neurodegeneration. Currently, neurodegeneration in AD is commonly assessed with structural MRI measures such as hippocampal volume and cortical thickness. However, recent work suggests that markers for microstructural neurodegeneration derived from diffusion MRI (DWI) may provide crucial additional information related to the onset and progression of AD. Neurite density index (NDI) and return to origin probability (RTOP) are two DWI metrics that have shown promise for characterizing these microstructural alterations.To investigate the utility of DWI for staging neurodegeneration in AD, we implemented logistic regression to compare the abilities of NDI, RTOP, and hippocampal volume to predict AD dementia in 481 late‐middle‐aged participants on the AD continuum.Methods481 participants (383 cognitively unimpaired [CU], 68 Mild Cognitive Impairment [MCI], 30 AD) from the Wisconsin Registry for Alzheimer’s Prevention and the Wisconsin Alzheimer’s Disease Research Center were imaged with T1‐weighted MRI and multi‐shell DWI. After delineating hippocampal volume, average NDI and RTOP values were extracted from the hippocampus and a whole brain white matter skeleton. All measures were fit to a logistic model with age, sex, and scanner as covariates.Corresponding ROC curves were used to derive cutoff values for NDI and RTOP by maximizing the Youden Index.ResultsBox plots and ROC curves are provided in Figures 1‐2 and cutoff values for each DWI metric are provided in Table 1. NDI and RTOP outperformed hippocampal volume in predicting AD across brain regions. The best performing marker was WM NDI (AUC = 0.905), followed closely by WM RTOP (AUC = .878). Meanwhile, hippocampal RTOP (AUC = 0.861) slightly outperformed hippocampal NDI (AUC = 0.844).ConclusionOur work adds to a growing body of literature which suggests that neuroimaging markers of brain microstructure may capture unique signatures of AD progression. Furthermore, the fact that both DWI measures performed best in whole brain WM reinforces WM degeneration as a core feature of AD pathophysiology. Future work will incorporate CSF and PET measures of amyloid and tau to better characterize AD‐specific neurodegeneration.

Severity of white matter microstructural damage in a Brazilian relapsing-remitting multiple sclerosis cohort: A possible window to optimize treatment.

Multiple sclerosis (MS) is an important cause of acquired neurological disability in young adults, characterized by multicentric inflammation, demyelination, and axonal damage. The objective is to investigate white matter (WM) damage progression in a Brazilian MS patient cohort, using diffusion tensor imaging (DTI) post-processed by tract-based spatial statistics (TBSS). DTI scans were acquired from 76 MS patients and 37 sex-and-age matched controls. Patients were divided into three groups based on disease duration. DTI was performed along 30 non-collinear directions by using a 1.5T imager. For TBSS analysis, the WM skeleton was created, and a 5000 permutation-based inference with a threshold of p < .05 was used, to enable the identification of abnormalities in fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD). Decreased FA and increased RD, MD, and AD were seen in patients compared to controls and a decreased FA and increased MD and RD were seen, predominantly after the first 5years of disease, when compared between groups. Progressive WM deterioration is seen over time with a more prominent pattern after 5years of disease onset, providing evidence that the early years might be a window to optimize treatment and prevent disability.

Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains

The executive function (EF) domains of working memory (WM), response inhibition (RI), and set shifting (SS) show maturational gains and are linked to neuroimaging-measured brain changes. This study explored ways in which maturation-linked differences in EF abilities are systematically associated with white matter microstructural differences from adolescence into young adulthood. Diffusion tensor imaging (DTI) and nine neurocognitive tests were collected from 120 healthy subjects ages 12–24. Analyses across the white matter skeleton were performed, focusing on fractional anisotropy (FA). Data were ‘fused’ using a multivariate technique (CCA+jICA), producing four independent components (ICs) depicting white matter FA values that covaried with test performance. Correlations between age and IC loading coefficients identified three EF-DTI profiles that may change developmentally. In one, SS performance was linked to greater reliance on the FA of ventral brain tracts, and less on dorsal tracts with age. In another, white matter microstructure was related to a pattern of strong WM and weak SS that became more pronounced with age. A final IC revealed that younger individuals with low RI and high WM/SS skills typically matured out of this cognitive imbalance, underscored by white matter changes with age. These novel multivariate results begin to emphasize the complexity of brain structure-cognition relationships in adolescents and young adults.

Adolescents at risk for depression show increased white matter microstructure with age across diffuse areas of the brain

Maternal history of depression is a strong predictor of depression in offspring and linked to structural and functional alterations in the developing brain. However, very little work has examined differences in white matter in adolescents at familial risk for depression. In a sample aged 9–14 (n = 117), we used tract-based spatial statistics (TBSS) to examine differences in white matter microstructure between adolescents with (n = 42) and without (n = 75) maternal history of depression. Microstructure was indexed using fractional anisotropy (FA). Threshold-free cluster enhancement was applied and cluster maps were thresholded at whole-brain family-wise error < .05. There was no significant main effect of risk status on FA. However, there was a significant interaction between risk status and age, such that large and diffuse portions of the white matter skeleton showed relatively increased FA with age for youth with a maternal history of depression compared to those without. Most tracts identified by the interaction were robust to controlling for sex, youth internalizing, in-scanner motion, neighborhood SES, and intra-cranial volume, evidence that maternal depression is a unique predictor of white matter alterations in youth. Widespread increases in FA with age may correspond to a global pattern of accelerated brain maturation in youth at risk for depression.

An intracellular isotropic diffusion signal is positively associated with pubertal development in white matter

Puberty is a key event in adolescent development that involves significant, hormone-driven changes to many aspects of physiology including the brain. Understanding how the brain responds during this time period is important for evaluating neuronal developments that affect mental health throughout adolescence and the adult lifespan. This study examines diffusion MRI scans from the cross-sectional ABCD Study baseline cohort, a large multi-site study containing thousands of participants, to describe the relationship between pubertal development and brain microstructure. Using advanced, 3-tissue constrained spherical deconvolution methods, this study is able to describe multiple tissue compartments beyond only white matter (WM) axonal qualities. After controlling for age, sex, brain volume, subject handedness, scanning site, and sibling relationships, we observe a positive relationship between an isotropic, intracellular diffusion signal fraction and pubertal development across a majority of regions of interest (ROIs) in the WM skeleton. We also observe regional effects from an intracellular anisotropic signal fraction compartment and extracellular isotropic free water-like compartment in several ROIs. This cross-sectional work suggests that changes in pubertal status are associated with a complex response from brain tissue that cannot be completely described by traditional methods focusing only on WM axonal properties.

Characterisation of the neonatal brain using myelin-sensitive magnetisation transfer imaging

Abstract A cardinal feature of the encephalopathy of prematurity is dysmaturation of developing white matter and subsequent hypomyelination. Magnetisation transfer imaging (MTI) offers surrogate markers for myelination, including magnetisation transfer ratio (MTR) and magnetisation transfer saturation (MTsat). Using data from 105 neonates, we characterise MTR and MTsat in the developing brain and investigate how these markers are affected by gestational age at scan and preterm birth. We explore correlations of the two measures with fractional anisotropy (FA), radial diffusivity (RD) and T1w/T2w ratio which are commonly used markers of white matter integrity in early life. We used two complementary analysis methods: voxel-wise analysis across the white matter skeleton, and tract-of-interest analysis across 16 major white matter tracts. We found that MTR and MTsat positively correlate with gestational age at scan. Preterm infants at term-equivalent age had lower values of MTsat in the genu and splenium of the corpus callosum, while MTR was higher in central white matter regions, the corticospinal tract and the uncinate fasciculus. Correlations of MTI metrics with other MRI parameters revealed that there were moderate positive correlations between T1w/T2w and MTsat and MTR at voxel level, but at tract level FA had stronger positive correlations with these metrics. RD had the strongest correlations with MTI metrics, particularly with MTsat in major white matter tracts. The observed changes in MTI metrics are consistent with an increase in myelin density during early postnatal life, and lower myelination and cellular/axonal density in preterm infants at term-equivalent age compared to term controls. Furthermore, correlations between MTI-derived features and conventional measures from diffusion MRI provide new understanding about the contribution of myelination to non-specific imaging metrics that are often used to characterise early brain development.

Size at birth predicts later brain volumes

We aimed to investigate whether gestation at birth, birth weight, and head circumference at birth are still associated with brain volume and white matter microstructure at 9–10 years in children born late-preterm and at term. One hundred and eleven children born at ≥ 36 weeks gestation from the CHYLD Study cohort underwent brain magnetic resonance imaging at 9 to 10 years. Images were analysed using FreeSurfer for volumetric data and tract-based spatial statistics for diffusion data. Of the cohort, 101 children were included for volumetric analysis [boys, 49(49%); median age, 9.5 (range: 8.9–12.4) years]. Shorter gestation at birth, lower birthweight, and smaller birth head circumference were associated with smaller brain volumes at 9 to 10 years, both globally and regionally. Amongst the perinatal factors studied, head circumference at birth was the strongest predictor of later brain volumes. Gestation at birth and absolute birthweight were not associated with diffusion metrics of white matter skeleton. However, lower birthweight z-score was associated with higher fractional anisotropy and lower radial diffusivity. Our findings suggest that even in children born late preterm and at term, growth before birth and timing of birth are still associated with brain development in mid-childhood.

Lower fractional anisotropy without evidence for neuro-inflammation in patients with early-phase schizophrenia spectrum disorders

Various lines of research suggest immune dysregulation as a potential therapeutic target for negative and cognitive symptoms in schizophrenia spectrum disorders (SSD). Immune dysregulation would lead to higher extracellular free-water (EFW) in cerebral white matter (WM), which may partially underlie the frequently reported lower fractional anisotropy (FA) in SSD. We aim to investigate differences in EFW concentrations – a presumed proxy for neuro-inflammation – between early-phase SSD patients (n = 55) and healthy controls (HC; n = 37), and to explore immunological and cognitive correlates. To increase specificity for EFW, we study several complementary magnetic resonance imaging contrasts that are sensitive to EFW. FA, mean diffusivity (MD), magnetization transfer ratio (MTR), myelin water fraction (MWF) and quantitative T1 and T2 were calculated from diffusion-weighted imaging (DWI), magnetization transfer imaging (MTI) and multicomponent driven equilibrium single-pulse observation of T1/T2 (mcDESPOT). For each measure, WM skeletons were constructed with tract-based spatial statistics. Multivariate SSD-HC comparisons with WM skeletons and their average values (i.e. global WM) were not statistically significant. In voxel-wise analyses, FA was significantly lower in SSD in the genu of the corpus callosum and in the left superior longitudinal fasciculus (p < 0.04). Global WM measures did not correlate with immunological markers (i.e. IL1-RA, IL-6, IL-8, IL-10 and CRP) or cognition in HC and SSD after corrections for multiple comparisons. We confirmed lower FA in early-phase SSD patients. However, nonFA measures did not provide additional evidence for immune dysregulation or for higher EFW as the primary mechanism underlying the reported lower FA values in SSD.