scholarly journals Preferential Detachment During Human Brain Development: Age- and Sex-Specific Structural Connectivity in Diffusion Tensor Imaging (DTI) Data

2013 ◽  
Vol 25 (6) ◽  
pp. 1477-1489 ◽  
Author(s):  
Sol Lim ◽  
Cheol E. Han ◽  
Peter J. Uhlhaas ◽  
Marcus Kaiser
NeuroImage ◽  
2016 ◽  
Vol 124 ◽  
pp. 1125-1130 ◽  
Author(s):  
Lindsay Walker ◽  
Lin-Ching Chang ◽  
Amritha Nayak ◽  
M. Okan Irfanoglu ◽  
Kelly N. Botteron ◽  
...  

2009 ◽  
Vol 20 (9) ◽  
pp. 2055-2068 ◽  
Author(s):  
L. T. Westlye ◽  
K. B. Walhovd ◽  
A. M. Dale ◽  
A. Bjornerud ◽  
P. Due-Tonnessen ◽  
...  

2010 ◽  
Vol 10 ◽  
pp. 135-144 ◽  
Author(s):  
Hao Huang

The human brain anatomy is characterized by dramatic structural changes during fetal development. It is extraordinarily complex and yet its origin is a simple tubular structure. Revealing detailed anatomy at different stages of brain development not only aids in understanding this highly ordered process, but also provides clues to detect abnormalities caused by genetic or environmental factors. However, anatomical studies of human brain development during the fetal period are surprisingly scarce and histology-based atlases have become available only recently. Diffusion tensor imaging (DTI) measures water diffusion to delineate the underlying neural structures. The high contrasts derived from DTI can be used to establish the brain atlas. With DTI tractography, coherent neural structures, such as white matter tracts, can be three-dimensionally reconstructed. The primary eigenvector of the diffusion tensor can be further explored to characterize microstructures in the cerebral wall of the developmental brains. In this mini-review, the application of DTI in order to reveal the structures of developmental fetal brains has been reviewed in the above-mentioned aspects. The fetal brain DTI provides a unique insight for delineating the neural structures in both macroscopic and microscopic levels. The resultant DTI database will provide structural guidance for the developmental study of human fetal brains in basic neuroscience, and reference standards for diagnostic radiology of premature newborns.


2021 ◽  
Vol 11 (1) ◽  
pp. 61
Author(s):  
Giulia M. Giordano ◽  
Pasquale Pezzella ◽  
Mario Quarantelli ◽  
Paola Bucci ◽  
Anna Prinster ◽  
...  

Deficit schizophrenia is a subtype of schizophrenia presenting primary and enduring negative symptoms (NS). Although one of the most updated hypotheses indicates a relationship between NS and impaired motivation, only a few studies have investigated abnormalities of motivational circuits in subjects with deficit schizophrenia (DS). Our aim was to investigate structural connectivity within motivational circuits in DS. We analyzed diffusion tensor imaging (DTI) data from 46 subjects with schizophrenia (SCZ) and 35 healthy controls (HCs). SCZ were classified as DS (n = 9) and non-deficit (NDS) (n = 37) using the Schedule for Deficit Syndrome. The connectivity index (CI) and the Fractional Anisotropy (FA) of the connections between selected brain areas involved in motivational circuits were examined. DS, as compared with NDS and HCs, showed increased CI between the right amygdala and dorsal anterior insular cortex and increased FA of the pathway connecting the left nucleus accumbens with the posterior insular cortex. Our results support previous evidence of distinct neurobiological alterations underlying different clinical subtypes of schizophrenia. DS, as compared with NDS and HCs, may present an altered pruning process (consistent with the hyperconnectivity) in cerebral regions involved in updating the stimulus value to guide goal-directed behavior.


2020 ◽  
Author(s):  
Christian K. Tamnes ◽  
Kathryn L. Mills

The human brain undergoes a remarkably protracted development. Magnetic resonance imaging (MRI) has allowed us to capture these changes through longitudinal investigations. In this chapter, we describe the typical developmental trajectories of human brain structure between childhood and early adulthood. We focus on measurements of brain morphometry and measurements derived from diffusion tensor imaging (DTI). By integrating findings from multiple longitudinal investigations with seminal cellular studies, we describe neurotypical patterns of structural brain development and possible underlying biological mechanisms. Finally, we highlight several new measures and approaches to examine structural brain development.


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