BACKGROUND: Evidence suggests that neurometabolic abnormalities can persist after traumatic brain injury (TBI) and drive clinical symptoms such as fatigue and cognitive disruption. Magnetic resonance spectroscopy has been used to investigate metabolite abnormalities following TBI, but few studies have obtained data beyond the subacute stage or over large brain regions. OBJECTIVE: To measure whole-brain metabolites in chronic stages of TBI. DESIGN: Observational study. SETTING: University. PARTICIPANTS: Eleven men with a moderate or severe TBI more than 12 months prior and 10 age-matched healthy controls completed whole-brain spectroscopic imaging. MAIN MEASURES: Ratios of N-acetylaspartate (NAA), choline (CHO), and myo-inositol (MI) to creatine (CR) were measured in whole-brain gray and white matter as well as 64 brain regions of interest. Arterial spin labeling (ASL) data were also collected to investigate whether metabolite abnormalities were accompanied by differences in cerebral perfusion. RESULTS: There were no differences in metabolite ratios within whole-brain gray and white matter regions of interest (ROIs). Linear regression showed lower NAA/CR in the white matter of the left occipital lobe but higher NAA/CR in the gray matter of the left parietal lobe. Metabolite abnormalities were observed in several brain regions in the TBI group including the corpus callosum, putamen, and posterior cingulate. However, none of the findings survived correction for multiple comparison. There were no differences in cerebral blood flow between patients and controls. CONCLUSION: Higher MI/CR may indicate ongoing gliosis, and it has been suggested that low CHO/CR at chronic time points may indicate cell death or lack of healthy turnover and repair. However, with the small sample size of this study, we caution against the over interpretation of our results. None of the findings within ROIs survived correction for multiple comparison. Thus, they may be considered possible avenues for future research in this area.
BACKGROUND: Evidence suggests that neurometabolic abnormalities can persist after traumatic brain injury (TBI) and drive clinical symptoms such as fatigue and cognitive disruption. Magnetic resonance spectroscopy has been used to investigate metabolite abnormalities following TBI, but few studies have obtained data beyond the subacute stage or over large brain regions. OBJECTIVE: To measure whole-brain metabolites in chronic stages of TBI. DESIGN: Observational study. SETTING: University. PARTICIPANTS: Eleven men with a moderate or severe TBI more than 12 months prior and 10 age-matched healthy controls completed whole-brain spectroscopic imaging. MAIN MEASURES: Ratios of N-acetylaspartate (NAA), choline (CHO), and myo-inositol (MI) to creatine (CR) were measured in whole-brain gray and white matter as well as 64 brain regions of interest. Arterial spin labeling (ASL) data were also collected to investigate whether metabolite abnormalities were accompanied by differences in cerebral perfusion. RESULTS: There were no differences in metabolite ratios within whole-brain gray and white matter regions of interest (ROIs). Linear regression showed lower NAA/CR in the white matter of the left occipital lobe but higher NAA/CR in the gray matter of the left parietal lobe. Metabolite abnormalities were observed in several brain regions in the TBI group including the corpus callosum, putamen, and posterior cingulate. However, none of the findings survived correction for multiple comparison. There were no differences in cerebral blood flow between patients and controls. CONCLUSION: Higher MI/CR may indicate ongoing gliosis, and it has been suggested that low CHO/CR at chronic time points may indicate cell death or lack of healthy turnover and repair. However, with the small sample size of this study, we caution against the over interpretation of our results. None of the findings within ROIs survived correction for multiple comparison. Thus, they may be considered possible avenues for future research in this area.
Authors: Ze Wang; Geoffrey K Aguirre; Hengyi Rao; Jiongjiong Wang; María A Fernández-Seara; Anna R Childress; John A Detre Journal: Magn Reson Imaging Date: 2007-09-10 Impact factor: 2.546
Authors: Andrew A Maudsley; Varan Govind; Gaurav Saigal; Stuart G Gold; Leo Harris; Sulaiman Sheriff Journal: J Neuroimaging Date: 2017-07-23 Impact factor: 2.486
Authors: Elisa R Zanier; Stefano Fumagalli; Carlo Perego; Francesca Pischiutta; Maria-Grazia De Simoni Journal: Intensive Care Med Exp Date: 2015-02-24
Authors: Giacomo Lazzarino; Valentina Di Pietro; Marco Rinaudo; Zsuzsanna Nagy; Nicholas M Barnes; Lars Bruce; Stefano Signoretti; Renata Mangione; Miriam Wissam Saab; Barbara Tavazzi; Antonio Belli; Giuseppe Lazzarino; Angela Maria Amorini; Ann Logan Journal: Int J Mol Sci Date: 2022-07-30 Impact factor: 6.208