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1.
Sci Rep ; 7(1): 9759, 2017 08 29.
Article in English | MEDLINE | ID: mdl-28852074

ABSTRACT

White matter microstructure, essential for efficient and coordinated transmission of neural communications, undergoes pronounced development during the first years of life, while deviations to this neurodevelopmental trajectory likely result in alterations of brain connectivity relevant to behavior. Hence, systematic evaluation of white matter microstructure in the normative brain is critical for a neuroscientific approach to both typical and atypical early behavioral development. However, few studies have examined the infant brain in detail, particularly in infants under 3 months of age. Here, we utilize quantitative techniques of diffusion tensor imaging and neurite orientation dispersion and density imaging to investigate neonatal white matter microstructure in 104 infants. An optimized multiple b-value diffusion protocol was developed to allow for successful acquisition during non-sedated sleep. Associations between white matter microstructure measures and gestation corrected age, regional asymmetries, infant sex, as well as newborn growth measures were assessed. Results highlight changes of white matter microstructure during the earliest periods of development and demonstrate differential timing of developing regions and regional asymmetries. Our results contribute to a growing body of research investigating the neurobiological changes associated with neurodevelopment and suggest that characteristics of white matter microstructure are already underway in the weeks immediately following birth.


Subject(s)
Child Development , Organogenesis , White Matter/anatomy & histology , White Matter/growth & development , Diffusion Tensor Imaging , Female , Humans , Image Processing, Computer-Assisted , Infant , Infant, Newborn , Male , White Matter/diagnostic imaging
2.
Neuroimage Clin ; 14: 54-66, 2017.
Article in English | MEDLINE | ID: mdl-28138427

ABSTRACT

The complexity and heterogeneity of neuroimaging findings in individuals with autism spectrum disorder has suggested that many of the underlying alterations are subtle and involve many brain regions and networks. The ability to account for multivariate brain features and identify neuroimaging measures that can be used to characterize individual variation have thus become increasingly important for interpreting and understanding the neurobiological mechanisms of autism. In the present study, we utilize the Mahalanobis distance, a multidimensional counterpart of the Euclidean distance, as an informative index to characterize individual brain variation and deviation in autism. Longitudinal diffusion tensor imaging data from 149 participants (92 diagnosed with autism spectrum disorder and 57 typically developing controls) between 3.1 and 36.83 years of age were acquired over a roughly 10-year period and used to construct the Mahalanobis distance from regional measures of white matter microstructure. Mahalanobis distances were significantly greater and more variable in the autistic individuals as compared to control participants, demonstrating increased atypicalities and variation in the group of individuals diagnosed with autism spectrum disorder. Distributions of multivariate measures were also found to provide greater discrimination and more sensitive delineation between autistic and typically developing individuals than conventional univariate measures, while also being significantly associated with observed traits of the autism group. These results help substantiate autism as a truly heterogeneous neurodevelopmental disorder, while also suggesting that collectively considering neuroimaging measures from multiple brain regions provides improved insight into the diversity of brain measures in autism that is not observed when considering the same regions separately. Distinguishing multidimensional brain relationships may thus be informative for identifying neuroimaging-based phenotypes, as well as help elucidate underlying neural mechanisms of brain variation in autism spectrum disorders.


Subject(s)
Autism Spectrum Disorder/diagnostic imaging , Neural Pathways/diagnostic imaging , White Matter/diagnostic imaging , Adolescent , Adult , Anisotropy , Child , Child, Preschool , Diffusion Magnetic Resonance Imaging , Female , Humans , Image Processing, Computer-Assisted , Longitudinal Studies , Male , Young Adult
3.
Sci Rep ; 6: 25826, 2016 05 16.
Article in English | MEDLINE | ID: mdl-27181344

ABSTRACT

Conscious awareness of negative cues is thought to enhance emotion-regulatory capacity, but the neural mechanisms underlying this effect are unknown. Using continuous flash suppression (CFS) in the MRI scanner, we manipulated visual awareness of fearful faces during an affect misattribution paradigm, in which preferences for neutral objects can be biased by the valence of a previously presented stimulus. The amygdala responded to fearful faces independently of awareness. However, when awareness of fearful faces was prevented, individuals with greater amygdala responses displayed a negative bias toward unrelated novel neutral faces. In contrast, during the aware condition, inverse coupling between the amygdala and prefrontal cortex reduced this bias, particularly among individuals with higher structural connectivity in the major white matter pathway connecting the prefrontal cortex and amygdala. Collectively, these results indicate that awareness promotes the function of a critical emotion-regulatory network targeting the amygdala, providing a mechanistic account for the role of awareness in emotion regulation.


Subject(s)
Amygdala/physiology , Awareness/physiology , Behavior , Emotions/physiology , Photic Stimulation , Prefrontal Cortex/physiology , Adolescent , Adult , Consciousness/physiology , Face , Fear/physiology , Female , Humans , Male , Nerve Net/physiology , Oxygen/blood , Young Adult
4.
Ann Biomed Eng ; 41(2): 293-304, 2013 Feb.
Article in English | MEDLINE | ID: mdl-23010803

ABSTRACT

UNLABELLED: Deep brain stimulation (DBS) efficacy is related to optimal electrode placement. Several authors have quantified brain shift related to surgical targeting; yet, few reports document and discuss the effects of brain shift after insertion. OBJECTIVE: To quantify brain shift and electrode displacement after device insertion. Twelve patients were retrospectively reviewed, and one post-operative MRI and one time-delayed CT were obtained for each patient and their implanted electrodes modeled in 3D. Two competing methods were employed to measure the electrode tip location and deviation from the prototypical linear implant after the resolution of acute surgical changes, such as brain shift and pneumocephalus. In the interim between surgery and a pneumocephalus free postoperative scan, electrode deviation was documented in all patients and all electrodes. Significant shift of the electrode tip was identified in rostral, anterior, and medial directions (p < 0.05). Shift was greatest in the rostral direction, measuring an average of 1.41 mm. Brain shift and subsequent electrode displacement occurs in patients after DBS surgery with the reversal of intraoperative brain shift. Rostral displacement is on the order of the height of one DBS contact. Further investigation into the time course of intraoperative brain shift and its potential effects on procedures performed with rigid and non-rigid devices in supine and semi-sitting surgical positions is needed.


Subject(s)
Deep Brain Stimulation/instrumentation , Electrodes, Implanted , Monitoring, Intraoperative/instrumentation , Aged , Brain/diagnostic imaging , Brain/physiopathology , Deep Brain Stimulation/methods , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Monitoring, Intraoperative/methods , Movement Disorders/therapy , Tomography, X-Ray Computed
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