The baseline pattern and age-related developmental metabolic changes in the brain of children with autism as measured on positron emission tomography/computed tomography scan

[ 18 F] 2-fluoro-2-deoxy-D-glucose positron emission tomography-computed tomography scan was performed on 45 children with autism to study the baseline pattern and age-related developmental changes in the brain metabolism. Median standardized uptake values (SUVs) were compared with published healthy...

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Bibliographic Details
Published in:World journal of nuclear medicine 2018-04, Vol.17 (2), p.94-101
Main Authors: Sharma, Alok, Gokulchandran, Nandini, Sane, Hemangi, Nivins, Samson, Paranjape, Amruta, Badhe, Prerna
Format: Article
Language:English
Subjects:
Age
Autism
Brain
Brain research
CAT scans
Cerebellum
Children
Computation
Computed tomography
Control data (computers)
Diagnostic imaging
Glucose
Medical imaging
Metabolism
NMR
Normal distribution
Nuclear magnetic resonance
Original
Original article
Patients
Physiological aspects
Positron emission
R&D
Research & development
Software
Sport utility vehicles
Studies
Thalamus
Tomography
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Summary:[ 18 F] 2-fluoro-2-deoxy-D-glucose positron emission tomography-computed tomography scan was performed on 45 children with autism to study the baseline pattern and age-related developmental changes in the brain metabolism. Median standardized uptake values (SUVs) were compared with published healthy control data. Results showed that, in contrary to control data, the median SUVs in children with autism decrease linearly with increase in age. As compared to controls, autism children below 5 years showed greater metabolism and older children showed lower metabolism. In autism group, comparison of absolute SUVs within different regions of the brain revealed relatively lower metabolism in amygdala, hippocampus, parahippocampal gyrus, caudate nucleus, cerebellum, mesial temporal lobe, thalamus, superior and middle temporal pole, and higher metabolic uptake in calcarine fissure and Heschl's gyrus. These results help in understanding the baseline metabolism and developmental changes of brain among different age groups in autism.
ISSN:1450-1147
1607-3312
DOI:10.4103/wjnm.WJNM_29_17