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  • 1
    In: NeuroImage, Elsevier BV, Vol. 273 ( 2023-06), p. 120117-
    Type of Medium: Online Resource
    ISSN: 1053-8119
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2023
    detail.hit.zdb_id: 1471418-8
    SSG: 5,2
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  • 2
    In: Magnetic Resonance in Medicine, Wiley, Vol. 65, No. 4 ( 2011-04), p. 956-963
    Type of Medium: Online Resource
    ISSN: 0740-3194
    Language: English
    Publisher: Wiley
    Publication Date: 2011
    detail.hit.zdb_id: 1493786-4
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  • 3
    In: Journal of Magnetic Resonance Imaging, Wiley, Vol. 42, No. 6 ( 2015-12), p. 1572-1581
    Abstract: White matter tractography reconstructions using conventional diffusion tensor imaging (DTI) near cerebrospinal fluid (CSF) spaces are often adversely affected by CSF partial volume effects (PVEs). This study evaluates the ability of free water elimination (FWE) DTI methods to minimize the PVE of CSF for deterministic tractography applications. Materials and Methods Ten healthy individuals were scanned with "traditional," FLAIR (fluid‐attenuated inversion recovery), and FWE DTI scans. The fornix, corpus callosum, and cingulum bundles were reconstructed using deterministic tractography. The FWE DTI scan was performed twice to separately match total acquisition time (long FWE) and number of measurements (encoding directions, short FWE) to the FLAIR and "traditional" DTI scans. PVE resolution was determined based on reconstructed tract volume. All reconstructions underwent blinded review for anatomical correctness, symmetry, and completeness. Results Reconstructions of the fornix demonstrated that the FWE and FLAIR scans produce more complete, anatomically plausible reconstructions than "traditional" DTI. Additionally, the tract reconstructions using FWE‐DTI were significantly larger than when FLAIR was used with DTI ( P   〈  0.0005). FLAIR and the FWE methods led to signal‐to‐noise ratio (SNR) reductions of 33% and 11%, respectively, compared with conventional DTI. The long and short FWE acquisitions did not significantly ( P  ≥ 0.31) differ from one another for any of the reconstructed tracts. Conclusion The FWE diffusion model overcomes CSF PVE without the time, SNR, and volumetric coverage penalties inherent to FLAIR DTI. J. MAGN. RESON. IMAGING 2015;42:1572–1581.
    Type of Medium: Online Resource
    ISSN: 1053-1807 , 1522-2586
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 1497154-9
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  • 4
    In: Journal of Magnetic Resonance Imaging, Wiley, Vol. 42, No. 6 ( 2015-12)
    Abstract: White matter tractography reconstructions using conventional diffusion tensor imaging (DTI) near cerebrospinal fluid (CSF) spaces are often adversely affected by CSF partial volume effects (PVEs). This study evaluates the ability of free water elimination (FWE) DTI methods to minimize the PVE of CSF for deterministic tractography applications. Materials and Methods Ten healthy individuals were scanned with "traditional," FLAIR (fluid‐attenuated inversion recovery), and FWE DTI scans. The fornix, corpus callosum, and cingulum bundles were reconstructed using deterministic tractography. The FWE DTI scan was performed twice to separately match total acquisition time (long FWE) and number of measurements (encoding directions, short FWE) to the FLAIR and "traditional" DTI scans. PVE resolution was determined based on reconstructed tract volume. All reconstructions underwent blinded review for anatomical correctness, symmetry, and completeness. Results Reconstructions of the fornix demonstrated that the FWE and FLAIR scans produce more complete, anatomically plausible reconstructions than "traditional" DTI. Additionally, the tract reconstructions using FWE‐DTI were significantly larger than when FLAIR was used with DTI ( P   〈  0.0005). FLAIR and the FWE methods led to signal‐to‐noise ratio (SNR) reductions of 33% and 11%, respectively, compared with conventional DTI. The long and short FWE acquisitions did not significantly ( P  ≥ 0.31) differ from one another for any of the reconstructed tracts. Conclusion The FWE diffusion model overcomes CSF PVE without the time, SNR, and volumetric coverage penalties inherent to FLAIR DTI. J. MAGN. RESON. IMAGING 2015;42:1572–1581.
    Type of Medium: Online Resource
    ISSN: 1053-1807 , 1522-2586
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2015
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  • 5
    In: Molecular Autism, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2022-12-19)
    Abstract: Elevated or reduced responses to sensory stimuli, known as sensory features, are common in autistic individuals and often impact quality of life. Little is known about the neurobiological basis of sensory features in autistic children. However, the brainstem may offer critical insights as it has been associated with both basic sensory processing and core features of autism. Methods Diffusion-weighted imaging (DWI) and parent-report of sensory features were acquired from 133 children (61 autistic children with and 72 non-autistic children, 6–11 years-old). Leveraging novel DWI processing techniques, we investigated the relationship between sensory features and white matter microstructure properties (free-water-elimination-corrected fractional anisotropy [FA] and mean diffusivity [MD] ) in precisely delineated brainstem white matter tracts. Follow-up analyses assessed relationships between microstructure and sensory response patterns/modalities and analyzed whole brain white matter using voxel-based analysis. Results Results revealed distinct relationships between brainstem microstructure and sensory features in autistic children compared to non-autistic children. In autistic children, more prominent sensory features were generally associated with lower MD. Further, in autistic children, sensory hyporesponsiveness and tactile responsivity were strongly associated with white matter microstructure in nearly all brainstem tracts. Follow-up voxel-based analyses confirmed that these relationships were more prominent in the brainstem/cerebellum, with additional sensory-brain findings in the autistic group in the white matter of the primary motor and somatosensory cortices, the occipital lobe, the inferior parietal lobe, and the thalamic projections. Limitations All participants communicated via spoken language and acclimated to the sensory environment of an MRI session, which should be considered when assessing the generalizability of this work to the whole of the autism spectrum. Conclusions These findings suggest unique brainstem white matter contributions to sensory features in autistic children compared to non-autistic children. The brainstem correlates of sensory features underscore the potential reflex-like nature of behavioral responses to sensory stimuli in autism and have implications for how we conceptualize and address sensory features in autistic populations.
    Type of Medium: Online Resource
    ISSN: 2040-2392
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2540930-X
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  • 6
    Online Resource
    Online Resource
    Frontiers Media SA ; 2024
    In:  Frontiers in Integrative Neuroscience Vol. 18 ( 2024-5-14)
    In: Frontiers in Integrative Neuroscience, Frontiers Media SA, Vol. 18 ( 2024-5-14)
    Abstract: Maximal grip strength, a measure of how much force a person’s hand can generate when squeezing an object, may be an effective method for understanding potential neurobiological differences during motor tasks. Grip strength in autistic individuals may be of particular interest due to its unique developmental trajectory. While autism-specific differences in grip-brain relationships have been found in adult populations, it is possible that such differences in grip-brain relationships may be present at earlier ages when grip strength is behaviorally similar in autistic and non-autistic groups. Further, such neural differences may lead to the later emergence of diagnostic-group grip differences in adolescence. The present study sought to examine this possibility, while also examining if grip strength could elucidate the neuro-motor sources of phenotypic heterogeneity commonly observed within autism. Methods Using high resolution, multi-shell diffusion, and quantitative R1 relaxometry imaging, this study examined how variations in key sensorimotor-related white matter pathways of the proprioception input, lateral grasping, cortico-cerebellar, and corticospinal networks were associated with individual variations in grip strength in 68 autistic children and 70 non-autistic (neurotypical) children (6–11 years-old). Results In both groups, results indicated that stronger grip strength was associated with higher proprioceptive input, lateral grasping, and corticospinal (but not cortico-cerebellar modification) fractional anisotropy and R1, indirect measures concordant with stronger microstructural coherence and increased myelination. Diagnostic group differences in these grip-brain relationships were not observed, but the autistic group exhibited more variability particularly in the cortico-cerebellar modification indices. An examination into the variability within the autistic group revealed that attention-deficit/hyperactivity disorder (ADHD) features moderated the relationships between grip strength and both fractional anisotropy and R1 relaxometry in the premotor-primary motor tract of the lateral grasping network and the cortico-cerebellar network tracts. Specifically, in autistic children with elevated ADHD features (60% of the autistic group) stronger grip strength was related to higher fractional anisotropy and R1 of the cerebellar modification network (stronger microstructural coherence and more myelin), whereas the opposite relationship was observed in autistic children with reduced ADHD features. Discussion Together, this work suggests that while the foundational elements of grip strength are similar across school-aged autistic and non-autistic children, neural mechanisms of grip strength within autistic children may additionally depend on the presence of ADHD features. Specifically, stronger, more coherent connections of the cerebellar modification network, which is thought to play a role in refining and optimizing motor commands, may lead to stronger grip in children with more ADHD features, weaker grip in children with fewer ADHD features, and no difference in grip in non-autistic children. While future research is needed to understand if these findings extend to other motor tasks beyond grip strength, these results have implications for understanding the biological basis of neuromotor control in autistic children and emphasize the importance of assessing co-occurring conditions when evaluating brain-behavior relationships in autism.
    Type of Medium: Online Resource
    ISSN: 1662-5145
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2452962-X
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  • 7
    In: NeuroImage, Elsevier BV, Vol. 189 ( 2019-04), p. 832-846
    Type of Medium: Online Resource
    ISSN: 1053-8119
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 1471418-8
    SSG: 5,2
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  • 8
    In: NeuroImage, Elsevier BV, Vol. 103 ( 2014-12), p. 323-333
    Type of Medium: Online Resource
    ISSN: 1053-8119
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 1471418-8
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  • 9
    Online Resource
    Online Resource
    Frontiers Media SA ; 2022
    In:  Frontiers in Integrative Neuroscience Vol. 16 ( 2022-3-3)
    In: Frontiers in Integrative Neuroscience, Frontiers Media SA, Vol. 16 ( 2022-3-3)
    Abstract: Diffusion-weighted magnetic resonance imaging (dMRI) of the brainstem is technically challenging, especially in young autistic children as nearby tissue-air interfaces and motion (voluntary and physiological) can lead to artifacts. This limits the availability of high-resolution images, which are desirable for improving the ability to study brainstem structures. Furthermore, inherently low signal-to-noise ratios, geometric distortions, and sensitivity to motion not related to molecular diffusion have resulted in limited techniques for high-resolution data acquisition compared to other modalities such as T1-weighted imaging. Here, we implement a method for achieving increased apparent spatial resolution in pediatric dMRI that hinges on accurate geometric distortion correction and on high fidelity within subject image registration between dMRI and magnetization prepared rapid acquisition gradient echo (MPnRAGE) images. We call this post-processing pipeline T1 weighted-diffusion fused, or “TiDi-Fused”. Data used in this work consists of dMRI data (2.4 mm resolution, corrected using FSL’s Topup) and T1-weighted (T1w) MPnRAGE anatomical data (1 mm resolution) acquired from 128 autistic and non-autistic children (ages 6–10 years old). Accurate correction of geometric distortion permitted for a further increase in apparent resolution of the dMRI scan via boundary-based registration to the MPnRAGE T1w. Estimation of fiber orientation distributions and further analyses were carried out in the T1w space. Data processed with the TiDi-Fused method were qualitatively and quantitatively compared to data processed with conventional dMRI processing methods. Results show the advantages of the TiDi-Fused pipeline including sharper brainstem gray-white matter tissue contrast, improved inter-subject spatial alignment for group analyses of dMRI based measures, accurate spatial alignment with histology-based imaging of the brainstem, reduced variability in brainstem-cerebellar white matter tracts, and more robust biologically plausible relationships between age and brainstem-cerebellar white matter tracts. Overall, this work identifies a promising pipeline for achieving high-resolution imaging of brainstem structures in pediatric and clinical populations who may not be able to endure long scan times. This pipeline may serve as a gateway for feasibly elucidating brainstem contributions to autism and other conditions.
    Type of Medium: Online Resource
    ISSN: 1662-5145
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2452962-X
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  • 10
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S4 ( 2021-12)
    Abstract: Numerous studies have reported correlations between diffusion tensor imaging (DTI) metrics and cerebrospinal (CSF) biomarkers of Alzheimer’s disease (AD) pathology. However, the assumption of Gaussian diffusion in DTI limits the ability to characterize white matter (WM) microstructural changes. Mean apparent propagator (MAP) MRI is a model that attempts to overcome this limitation by allowing for the estimation of parameters that convey more precise information about WM microstructure. To investigate MAP MRI’s sensitivity to early WM degeneration associated with preclinical, asymptomatic AD pathology, we examined the relationship between CSF biomarkers and MAP MRI microstructural parameters in 92 cognitively unimpaired adults. Method 92 cognitively unimpaired controls from the Wisconsin Registry for Alzheimer’s Prevention and the Wisconsin Alzheimer’s Disease Research Center were imaged with multi‐shell diffusion‐weighted MRI. DTI metrics (FA, MD, RD, AxD) were computed and the MAP MRI model was employed to calculate various microstructural parameters: Return to origin probability (RTOP), return to axis probability (RTAP), return to plane probability (RTPP), mean squared displacement (MSD), Non‐Gaussianity (NG), and q‐space inverse variance (QIV). DTI and MAP parameter values were extracted from the cingulum and correlated to Aβ 42 , P‐Tau, P‐Tau/Aβ 42 , YKL‐40, and neurofilament light chain (NFL) levels in lumbar cerebrospinal fluid samples. Result MAP parameters were moderately and significantly correlated to most CSF measures. RTPP was significantly correlated to all 5 CSF measures, while MSD, NG, and QIV were significantly correlated to 4 of 5 CSF measures. NFL, a known marker for axonal degeneration, was significantly related to 5 of the 6 MAP parameters assessed. Meanwhile, correlations between DTI and CSF measures were weak and non‐significant. Conclusion These preliminary results highlight the potential of MAP MRI to detect early WM deterioration indicative of preclinical, asymptomatic AD and associated neurodegeneration. MAP metrics extracted from a commonly affected WM tract in AD were more strongly and significantly correlated with CSF measures than DTI metrics were, suggesting that MAP MRI may be more useful than DTI for identifying the earliest WM microstructural changes associated with AD. Future work will incorporate longitudinal data and assess the effects of CSF and molecular imaging markers on MAP age trajectories.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
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