BACKGROUND AND PURPOSE: It has been demonstrated that increased levels of iron in the brain occur with aging. In this study we investigated the nature of the association between age and SWI-filtered phase values, indicative of iron content, in the subcortical deep gray matter of healthy individuals. MATERIALS AND METHODS: A total of 210 healthy individuals (men: n = 89, women: n = 121), mean age, 39.8 years (standard deviation = 15.5; range = 6-76 years), were imaged on a 3T scanner. Mean MRI phase, mean phase of low-phase voxels, and normalized volumes were determined for total subcortical deep gray matter, caudate, putamen, globus pallidus, thalamus, pulvinar nucleus, hippocampus, amygdala, nucleus accumbens, red nucleus, and substantia nigra. Linear and nonlinear regression models were used to explore the relationship between phase and volume measures, and aging. RESULTS: Mean phase values of subcortical deep gray matter structures showed a quadratic relationship, with individuals in late middle age (40-59 years) having the lowest mean phase values, followed by a reversal of this trend in the elderly. In contrast, mean phase of low-phase voxel measurements showed strong negative linear relationships with aging. Significantly lower phase values were detected in women compared with men (P < .001), whereas no sex differences were observed for mean phase of low-phase voxels. Normalized volume measurements were also linearly related to aging, and women showed smaller normalized volumes of subcortical deep gray matter structures than men (P < .001). Lower mean phase of low-phase voxels was related to decreased volume measures. CONCLUSIONS: A strong association between phase (quadratic effect; phase decreases are followed by increases), mean phase of low-phase voxels (linear effect), volume (linear effect), and age was observed. Low phase was related to brain atrophy.
BACKGROUND AND PURPOSE: It has been demonstrated that increased levels of iron in the brain occur with aging. In this study we investigated the nature of the association between age and SWI-filtered phase values, indicative of iron content, in the subcortical deep gray matter of healthy individuals. MATERIALS AND METHODS: A total of 210 healthy individuals (men: n = 89, women: n = 121), mean age, 39.8 years (standard deviation = 15.5; range = 6-76 years), were imaged on a 3T scanner. Mean MRI phase, mean phase of low-phase voxels, and normalized volumes were determined for total subcortical deep gray matter, caudate, putamen, globus pallidus, thalamus, pulvinar nucleus, hippocampus, amygdala, nucleus accumbens, red nucleus, and substantia nigra. Linear and nonlinear regression models were used to explore the relationship between phase and volume measures, and aging. RESULTS: Mean phase values of subcortical deep gray matter structures showed a quadratic relationship, with individuals in late middle age (40-59 years) having the lowest mean phase values, followed by a reversal of this trend in the elderly. In contrast, mean phase of low-phase voxel measurements showed strong negative linear relationships with aging. Significantly lower phase values were detected in women compared with men (P < .001), whereas no sex differences were observed for mean phase of low-phase voxels. Normalized volume measurements were also linearly related to aging, and women showed smaller normalized volumes of subcortical deep gray matter structures than men (P < .001). Lower mean phase of low-phase voxels was related to decreased volume measures. CONCLUSIONS: A strong association between phase (quadratic effect; phase decreases are followed by increases), mean phase of low-phase voxels (linear effect), volume (linear effect), and age was observed. Low phase was related to brain atrophy.
Authors: Sonia Batista; Robert Zivadinov; Marietta Hoogs; Niels Bergsland; Mari Heininen-Brown; Michael G Dwyer; Bianca Weinstock-Guttman; Ralph H B Benedict Journal: J Neurol Date: 2011-07-01 Impact factor: 4.849
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Authors: Romana Burgetova; Petr Dusek; Andrea Burgetova; Adam Pudlac; Manuela Vaneckova; Dana Horakova; Jan Krasensky; Zsoka Varga; Lukas Lambert Journal: Quant Imaging Med Surg Date: 2021-09
Authors: A C Apple; K L Possin; G Satris; E Johnson; J M Lupo; A Jakary; K Wong; D A C Kelley; G A Kang; S J Sha; J H Kramer; M D Geschwind; S J Nelson; C P Hess Journal: AJNR Am J Neuroradiol Date: 2014-04-17 Impact factor: 3.825
Authors: C M Modica; R Zivadinov; M G Dwyer; N Bergsland; A R Weeks; R H B Benedict Journal: AJNR Am J Neuroradiol Date: 2014-06-19 Impact factor: 3.825
Authors: Ning Ning; Lei Zhang; Jie Gao; Yumiao Zhang; Zhuanqin Ren; Gang Niu; Yongming Dai; Ed X Wu; Youmin Guo; Jian Yang Journal: PLoS One Date: 2014-02-25 Impact factor: 3.240