Literature DB >> 17056276

Shape variability of the human striatum--Effects of age and gender.

Juha Koikkalainen1, Jussi Hirvonen, Mikko Nyman, Jyrki Lötjönen, Jarmo Hietala, Ulla Ruotsalainen.   

Abstract

Human striatum is involved in the regulation of movement, reinforcement, learning, reward, cognitive functioning, and addiction. Previous classical volumetric MRI studies have implicated age-, disease- and medication-related changes in striatal structures. Yet, no studies to date have addressed the effects of these factors on the shape variability and local structural alterations in the striatum. The local alterations may provide meaningful additional information in the context of functional neuroanatomy and brain connectivity. We developed image analysis methodology for the measurement of the volume and local shape variability of the human striatum. The method was applied in a group of 43 healthy controls to study the effects of age and gender on striatal shape variability. In the volume analysis, the volume of the striatum was normalized using the volume of the whole brain. In the local shape analysis, the deviations from a mean surface were studied for each surface point using high-dimensional mapping. Also, discriminant functions were constructed from a statistical shape model. The accuracy and reproducibility of the methods used were evaluated. The results confirmed that the volume of the striatum decreases as a function of age. However, the volume decrease was not uniform and age-related shape differences were observed in several subregions of the human striatum whereas no local gender differences were seen. Examination of the variability of striatal shape in the healthy population will pave the way for applying this method in clinical settings. This method will be particularly useful for investigating neuropsychiatric disorders that are associated with subtle morphological alterations of the brain, such as schizophrenia.

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Year:  2006        PMID: 17056276     DOI: 10.1016/j.neuroimage.2006.08.039

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  14 in total

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Journal:  Drug Alcohol Depend       Date:  2019-11-09       Impact factor: 4.492

4.  Statistical shape modeling describes variation in tibia and femur surface geometry between Control and Incidence groups from the osteoarthritis initiative database.

Authors:  Todd L Bredbenner; Travis D Eliason; Ryan S Potter; Robert L Mason; Lorena M Havill; Daniel P Nicolella
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5.  Experimental determination of the weighting factor for the energy window subtraction-based downscatter correction for I-123 in brain SPECT studies.

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6.  Multitask Learning Based Three-Dimensional Striatal Segmentation of MRI: fMRI and PET Objective Assessments.

Authors:  Mario Serrano-Sosa; Jared X Van Snellenberg; Jiayan Meng; Jacob R Luceno; Karl Spuhler; Jodi J Weinstein; Anissa Abi-Dargham; Mark Slifstein; Chuan Huang
Journal:  J Magn Reson Imaging       Date:  2021-05-10       Impact factor: 5.119

7.  Impulsivity relates to striatal gray matter volumes in humans: evidence from a delay discounting paradigm.

Authors:  Melanie Tschernegg; Belinda Pletzer; Philipp Schwartenbeck; Philipp Ludersdorfer; Uta Hoffmann; Martin Kronbichler
Journal:  Front Hum Neurosci       Date:  2015-07-02       Impact factor: 3.169

8.  Morphometric and volumetric study of caudate and putamen nuclei in normal individuals by MRI: Effect of normal aging, gender and hemispheric differences.

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Journal:  Pol J Radiol       Date:  2013-07

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Authors:  Todd L Bredbenner; Travis D Eliason; W Loren Francis; John M McFarland; Andrew C Merkle; Daniel P Nicolella
Journal:  Front Bioeng Biotechnol       Date:  2014-11-27

10.  Cholinergic interneurons are differentially distributed in the human striatum.

Authors:  Javier Bernácer; Lucía Prensa; José Manuel Giménez-Amaya
Journal:  PLoS One       Date:  2007-11-14       Impact factor: 3.240

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