Age- and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

Canales-Rodríguez, Erick Jorge; Alonso‐Lana, Silvia; Verdolini, Norma; Sarró, Salvador; Feria, Isabel; Montoro, Irene; Garcia-Ruiz, Beatriz; Jiménez, Esther; Varo, Cristina; Albacete, Auria; Argila-Plaza, Isabel; Lluch, A.; Bonnín, C.M.; Vilella, Elisabet; Vieta, Eduard; Pomarol‐Clotet, Edith; Salvador, Raymond

doi:10.1016/j.neurobiolaging.2021.06.002

Cited by 18 publications

(26 citation statements)

References 83 publications

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“…In other words, while grey matter network of male healthy controls were less connected, connectivity between brain regions was achieved more effectively according to small-world principles of neural networks (Strogatz 2001;Stam 2010). On the surface our ndings are at odds with two crosssectional studies, which considered healthy individuals from childhood/young adulthood to old age (Statsenko et al 2022;Canales-Rodríguez et al 2021). The rst study found a higher vulnerability to agerelated effects on the microstructure level in men (Canales-Rodríguez et al 2021) while the second study indicated that grey matter atrophy starts earlier and proceeds at a faster rate in males (Statsenko et al 2022).…”

Section: Discussioncontrasting

confidence: 64%

“…On the surface our ndings are at odds with two crosssectional studies, which considered healthy individuals from childhood/young adulthood to old age (Statsenko et al 2022;Canales-Rodríguez et al 2021). The rst study found a higher vulnerability to agerelated effects on the microstructure level in men (Canales-Rodríguez et al 2021) while the second study indicated that grey matter atrophy starts earlier and proceeds at a faster rate in males (Statsenko et al 2022). However, our ndings align with a study which considered exclusively older healthy participants similar to our cohort (Sang et al 2021).…”

Section: Discussioncontrasting

confidence: 47%

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Sex differences in grey matter networks in dementia with Lewy bodies

Habich

Oltra

Schwarz

et al. 2023

Preprint

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Objectives Sex differences permeate many aspects of dementia with Lewy bodies (DLB), including epidemiology, pathogenesis, disease progression, and symptom manifestation. However, less is known about potential sex differences in patterns of neurodegeneration in DLB. Here, we test whether grey matter networks also differ between female and male DLB patients. To assess the specificity of these sex differences to DLB, we additionally investigate sex differences in healthy controls (HCs). Methods A total of 119 (68.7 ± 8.4 years) male and 45 female (69.9 ± 9.1 years) DLB patients from three European centres and the Mayo Clinic were included in this study. Additionally, we included 119 male and 45 female age-matched HCs from the Mayo Clinic. Grey matter volumes of 58 cortical, subcortical, cerebellar, and pontine brain regions derived from structural magnetic resonance images were corrected for age, intracranial volume, and centre. Sex-specific grey matter networks for DLB patients and HCs were constructed by correlating each pair of brain regions. Network properties of the correlation matrices were compared between sexes and groups. Additional analyses were conducted on W-scored data to identify DLB-specific findings. Results Networks of male HCs and male DLB patients were characterised by a lower nodal strength compared to their respective female counterparts. In comparison to female HCs, the grey matter networks of male HCs showed a higher global efficiency, modularity, and a lower number of modules. None of the global and nodal network measures showed significant sex differences in DLB. Conclusions The disappearance of sex differences in the structural grey matter networks of DLB patients compared to HCs may indicate a sex-dependent network vulnerability to the alpha-synuclein pathology in DLB. Future studies might investigate whether the differences in structural network measures are associated with differences in cognitive scores and clinical symptoms between the sexes.

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Section: Discussioncontrasting

confidence: 64%

Section: Discussioncontrasting

confidence: 47%

Sex differences in grey matter networks in dementia with Lewy bodies

Habich

Oltra

Schwarz

et al. 2023

Preprint

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“…Also, we should note that a conservative tissue mask was used in our ROI analysis (the distance between ROI voxels and CSF-filled brain reservoirs, including the ventricles and the subarachnoid space, is at least 1 mm in-plane and 5 mm through-plane), which further reduces partial voluming with the macroscopic CSF signal. In a more recent study (Canales-Rodriguez et al, 2021), Canales-Rodríguez et al applied a voxel-based analysis to three-compartment T2 relaxometry data obtained using a 3D GRASE sequence (Prasloski et al, 2012) in 145 healthy subjects aged 18-60 years. They found that parenchymal CSFF (termed "free and quasi-free water fraction" in their work) in general increases linearly with age, with a much larger slope observed in men than in women.…”

Section: Discussionmentioning

confidence: 99%

“…The lower and upper T2 bounds for each of the three water pools (in milliseconds) were set to [5 20], [20 200], and [200 9 2000] as in (Nguyen et al, 2016). Following the conventional T2 relaxometry nomenclature (Lancaster et al, 2003;MacKay et al, 2006;Canales-Rodriguez et al, 2021), these water compartments represent short-T2 myelin water, intermediate-T2 intra/extra-cellular water (e.g., axonal and interstitial water), and long-T2 free and quasi-free water (mainly CSF) (MacKay et al, 2006), respectively. At each voxel, the T2 value of the myelin water and CSF components was initialized to 10 ms and 2000 ms (Spijkerman et al, 2018), respectively, while the initial T2 value of the intra/extra-cellular water component was calculated using an efficient linear leastsquares fit of the natural logarithm of the first four echoes (Otto et al, 2011).…”

Section: Image Post-processingmentioning

confidence: 99%

“…To date, however, there have been few MRI studies on the effect of age on parenchymal CSF fraction (CSFF), defined as the ratio between the CSF volume and the total water volume in a voxel and could serve as a quantitative biomarker of PVS dilation on the microscopic scale. In a recent study (Canales-Rodriguez et al, 2021), Canales-Rodríguez et al applied multi-component T2 relaxometry to the brain data of cognitively normal (CN) subjects obtained with the GRASE sequence and reported a linear increase of CSFF with age. However, their imaging voxel size was rather large (42.9 mm 3 ) and elderly subjects aged 60 years or above were not included.…”

Section: Introductionmentioning

confidence: 99%

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Brain tissue cerebrospinal fluid fraction increases quadratically in normal aging

Zhou¹,

Li²,

Sweeney³

et al. 2023

Preprint

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Background and Purpose: Our objective was to apply multi-compartment T2 relaxometry in cognitively normal individuals aged 20-80 years to study the effect of aging on the parenchymal cerebrospinal fluid fraction (CSFF), a measure of the microscopic-scale CSF space. Materials and Methods: A total of 66 volunteers (age range, 22-80 years) were enrolled. Voxel-wise maps of short-T2 myelin water fraction (MWF), intermediate-T2 intra/extra-cellular water fraction (IEWF), and long-T2 CSFF were obtained using fast acquisition with spiral trajectory and adiabatic T2prep (FAST-T2) sequence and three-pool non-linear least squares fitting. Multiple linear regression analysis with correction for multiple comparisons was performed to study the association between age and regional MWF, IEWF, and CSFF measurements, adjusting for sex and region of interest (ROI) volume. The cerebral white matter (WM), cerebral cortex, and subcortical deep gray matter (GM) were considered as ROIs. In each model, a quadratic term for age was tested using an ANOVA test. A Spearman's correlation between the normalized lateral ventricle volume, a measure of organ-level CSF space, and the regional CSFF, a measure of tissue-level CSF space, was computed. Results: In the multiple regression analysis, we found a statistically significant quadratic relationship between age and regional CSFF for all three ROIs (all p-values < 0.001). A statistically significant quadratic relationship with age was also found for MWF in the deep GM (p = 0.004) and IEWF in the cortex (p = 0.012). There was a statistically significant linear relationship between age and regional IEWF in the cerebral WM (p = 0.006) and deep GM (p = 0.002). In the univariate correlation analysis, the normalized lateral ventricle volume was found to correlate moderately with the regional CSFF measurement in the cerebral WM (ρ = 0.43, p < 0.001), cortex (ρ = 0.43, p < 0.001), and deep GM (ρ = 0.49, p < 0.001). Conclusion: Brain tissue water residing in different water compartments shows complex changing patterns with age. Parenchymal CSFF, a biomarker of microscopic-scale CSF-like water, shows a quadratic increase in both GM and WM, starting approximately at the age of 50.

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Widespread intra‐axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical features and pharmacologic treatment

Canales‐Rodríguez,

Verdolini,

Alonso‐Lana

et al. 2023

Human Brain Mapping

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Despite diffusion tensor imaging (DTI) evidence for widespread fractional anisotropy (FA) reductions in the brain white matter of patients with bipolar disorder, questions remain regarding the specificity and sensitivity of FA abnormalities as opposed to other diffusion metrics in the disorder. We conducted a whole-brain voxel-based Raymond Salvador and Edith Pomarol-Clotet are joint last author (equal contribution, shared senior authorship).

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Age- and gender-related differences in brain tissue microstructure revealed by multi-component T2 relaxometry

Cited by 18 publications

References 83 publications

Sex differences in grey matter networks in dementia with Lewy bodies

Sex differences in grey matter networks in dementia with Lewy bodies

Brain tissue cerebrospinal fluid fraction increases quadratically in normal aging

Widespread intra‐axonal signal fraction abnormalities in bipolar disorder from multicompartment diffusion MRI: Sensitivity to diagnosis, association with clinical features and pharmacologic treatment

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