A comparison of intracranial volume estimation methods and their cross‐sectional and longitudinal associations with age

Nerland, Stener; Stokkan, Therese S; Jørgensen, Kjetil Nordbø; Wortinger, Laura A.; Richard, Geneviève; Beck, Dani; Meer, Dennis van der; Westlye, Lars T.; Andreassen, Ole A.; Agartz, Ingrid; Barth, Cláudia

doi:10.1002/hbm.25978

Cited by 13 publications

(7 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Covariates included in the models were age, gender, medications, Townsend deprivation index, total brain volume (TBV), BMI, height, ethnicity, smoking status, alcoholic drinking status, and the first ten genetic principal components. Additionally, we tested the models without the adjustment of TBV since TBV decreases with aging ( 52 ). Significant group differences were found in the bilateral hippocampus, regardless of whether TBV was included as a covariate.…”

Section: Resultsmentioning

confidence: 99%

Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain

Zhao

Chang

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Numerous studies have investigated the impacts of common types of chronic pain (CP) on patients’ cognitive function and observed that CP was associated with later dementia. More recently, there is a growing recognition that CP conditions frequently coexist at multiple body sites and may bring more burdens on patients’ overall health. However, whether and how multisite CP (MCP) contributes to an increased risk of dementia, compared to single-site CP (SCP) and pain-free (PF), is largely unclear. In the current study, utilizing the UK Biobank cohort, we first investigated dementia risk in individuals (n = 354,943) with different numbers of coexisting CP sites using Cox proportional hazards regression models. We then applied generalized additive models to investigate whether MCP leads to excessive deterioration of participants’ (n = 19,116) cognition and brain structure. We found that individuals with MCP were associated with significantly higher dementia risk, broader and faster cognitive impairment, and greater hippocampal atrophy than both PF individuals and those with SCP. Moreover, the detrimental effects of MCP on dementia risk and hippocampal volume aggravated along with the number of coexisting CP sites. Mediation analyses further revealed that the decline of fluid intelligence in MCP individuals was partially mediated by hippocampal atrophy. Our results suggested that cognitive decline and hippocampal atrophy interact biologically and may underlie the increased risk of dementia associated with MCP.

show abstract

Section: Resultsmentioning

confidence: 99%

Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain

Zhao

Chang

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…The agreement between head size normalization estimates were analyzed by performing linear regression analyses. SAMSEG T1 sbTIV was chosen as the reference method based on previous work (see methods) [ 28 ]. The R 2 between SAMSEG T1 sbTIV and SAMSEG FLAIR sbTIV was 0.95 (β = 0.99, se = 0.011), 0.95 for SynthSeg FLAIR sbTIV (β = 0.99, se = 0.011) and 0.96 for SynthSeg T1 sbTIV (β = 0.98, se = 0.011) (see Fig.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, FreeSurfer-based reference volumes were normalized by the segmentation-based intracranial volume (sbTIV) from the SAMSEG processing stream. sbTIV is proposed as a more robust alternative by FreeSurfer and is less sensitive to brain atrophy [ 28 ]. The volumes of all SAMSEG and SynthSeg-derived segmentations were normalized by dividing by the sbTIV of the corresponding pipeline.…”

Section: Methodsmentioning

confidence: 99%

Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR

et al. 2023

View full text Add to dashboard Cite

Background and objectives Disability and cognitive impairment are known to be related to brain atrophy in multiple sclerosis (MS), but 3D-T1 imaging required for brain volumetrics is often unavailable in clinical protocols, unlike 3D-FLAIR. Here our aim was to investigate whether brain volumes derived from 3D-FLAIR images result in similar associations with disability and cognition in MS as do those derived from 3D-T1 images. Methods 3T-MRI scans of 329 MS patients and 76 healthy controls were included in this cross-sectional study. Brain volumes were derived using FreeSurfer on 3D-T1 and compared with brain volumes derived with SynthSeg and SAMSEG on 3D-FLAIR. Relative agreement was evaluated by calculating the intraclass correlation coefficient (ICC) of the 3D-T1 and 3D-FLAIR volumes. Consistency of relations with disability and average cognition was assessed using linear regression, while correcting for age and sex. The findings were corroborated in an independent validation cohort of 125 MS patients. Results The ICC between volume measured with FreeSurfer and those measured on 3D-FLAIR for brain, ventricle, cortex, total deep gray matter and thalamus was above 0.74 for SAMSEG and above 0.91 for SynthSeg. Worse disability and lower average cognition were similarly associated with brain (adj. R2 = 0.24–0.27, p < 0.01; adj. R2 = 0.26–0.29, p < 0.001) ventricle (adj. R2 = 0.27–0.28, p < 0.001; adj. R2 = 0.19–0.20, p < 0.001) and deep gray matter volumes (adj. R2 = 0.24–0.28, p < 0.001; adj. R2 = 0.27–0.28, p < 0.001) determined with all methods, except for cortical volumes derived from 3D-FLAIR. Discussion In this cross-sectional study, brain volumes derived from 3D-FLAIR and 3D-T1 show similar relationships to disability and cognitive dysfunction in MS, highlighting the potential of these techniques in clinical datasets.

show abstract

“…We found no evidence for larger volumes in healthy female controls as compared to males for any of the subfields. However, it should be noted that sex differences in neuroanatomical structure may be dependent on ICV estimation 45 and choice of statistical method for adjusting for ICV [46][47][48] . Here, we estimated ICV as estimated total ICV via Freesurfer v6.0.0 and used the ANCOVA method, which has been shown to more effectively remove ICV-related variation than the proportions method 46 .…”

Section: Discussionmentioning

confidence: 99%

Altered sex differences in hippocampal subfield volumes in schizophrenia

Barth

Nerland

Jørgensen

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Objective: The hippocampus is a heterogenous brain structure that differs between the sexes and has been implicated in the pathophysiology of psychiatric illnesses. Here, we explored sex and diagnostic group differences in hippocampal subfield volumes, in individuals with schizo-phrenia spectrum disorder (SZ), bipolar disorders (BD) and healthy controls. Methods: 1,521 participants underwent T1-weighted magnetic resonance imaging (SZ, n = 452, mean age 30.7 ± 9.2 [SD] years, males 59.1%; BD, n = 316, 33.7 ± 11.4, 41.5%; healthy controls, n = 753, 34.1 ± 9.1, 55.6%). Total hippocampal, subfield, and intracranial volumes were estimated with Freesurfer (v6.0.0). Analysis of covariance and multiple regression models were fitted to examine sex-by-diagnostic (sub)group interactions in volume. In SZ and BD, separately, associations between volumes and clinical as well as cognitive measures were exam-ined between the sexes using regression models. Results: Significant sex-by-group interactions were found for the total hippocampus, dentate gyrus, molecular layer, presubiculum, fimbria, HATA, and CA4, indicating a larger volumetric deficit in male patients relative to female patients when compared with same-sex healthy con-trols. Subgroup analyses revealed that this interaction was driven by males with schizophrenia. Effect sizes were overall small (partial η2 < 0.02). We found no significant sex differences in the associations between hippocampal volumes and clinical or cognitive measures in SZ and BD. Conclusions: Using a well-powered sample, our findings indicate that the pattern of morpho-logical sex differences in hippocampal subfields is altered in individuals with schizophrenia relative to healthy controls, due to higher volumetric deficits in males.

show abstract

A comparison of intracranial volume estimation methods and their cross‐sectional and longitudinal associations with age

Cited by 13 publications

References 67 publications

Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain

Elevated dementia risk, cognitive decline, and hippocampal atrophy in multisite chronic pain

Feasibility of detecting atrophy relevant for disability and cognition in multiple sclerosis using 3D-FLAIR

Altered sex differences in hippocampal subfield volumes in schizophrenia

Contact Info

Product

Resources

About