. Author manuscript; available in PMC: 2021 Jun 1.

Published in final edited form as: Clin Neuroradiol. 2019 Jan 18;30(2):251–261. doi: 10.1007/s00062-018-00757-x

Table 5.

Results of linear regression analysis of brain metabolite concentrations (in reference to internal water) to age

Metabolite	Method^a	oGM^c					pEM^c
		N^b	R^d	p	α^e	β^e	N	R	p	α	β
NAA	SVS-LCM	59	−0.10	0.461	–	–	59	−0.12	0.365	–	–
	wbMRSI	59	−0.48	*0.000*	14.15	−0.0384	59	−0.39	*0.002*	12.04	−0.0299
	Hybrid	59	−0.28	*0.029*	29.67	−0.0580	59	−0.45	*0.000*	26.60	−0.0818
tCho	SVS-LCM	59	0.13	0.333	–	–	59	0.40	*0.002*	1.06	0.0045
	wbMRSI	59	−0.04	0.752	–	–	59	0.17	0.209	–	–
	Hybrid	59	0.02	0.901	–	–	59	0.29	*0.025*	3.46	0.0111
tCr	SVS-LCM	59	0.19	0.139	–	–	59	0.35	*0.006*	4.11	0.0130
	wbMRSI	59	0.04	0.735	–	–	59	0.16	0.241	–	–
	Hybrid	59	0.15	0.260	–	–	59	0.02	0.854	–	–
mIns	SVS-LCM	59	0.12	0.355	–	–	59	0.33	0.010	2.74	0.0187
	wbMRSI	59	−0.01	0.921	–	–	59	0.17	0.205	–	–
	Hybrid	59	0.26	0.050	–	–	59	0.18	0.174	–	–
Gln	SVS-LCM	57	−0.04	0.755	–	–	42	0.05	0.752	–	–
	wbMRSI	47	−0.10	0.483	–	–	58	0.04	0.756	–	–
	Hybrid	43	0.15	0.332	–	–	46	−0.04	0.797	–	–
Glu	SVS-LCM	59	−0.17	0.207	–	–	53	0.05	0.722	–	–
	wbMRSI	59	−0.29	*0.028*	11.73	−0.0340	58	−0.31	*0.016*	9.31	−0.2700
	Hybrid	59	0.05	0.713	–	–	58	−0.24	0.070	–	–

SVS-LCM: spectral data were scanned with SVS and analyzed with LCModel. wbMRSI: data were scanned with EPSI and analyzed with MIDAS. Hybrid: data were scanned with EPSI and analyzed with LCModel

N represents number of sampled subjects. The data with line width >14Hz, Cramer-Rao lower bounds >20% for NAA, tCho, and tCr, and >30% for Gln, Glu and MI were not sampled

oGM represents the ROI in occipital grey matter, and pWM the ROI in parietal white matter

R is Pearson’s correlation coefficient

Intercept (α) and slope (β) were calculated only in cases with significance value p< 0.05