Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00082341" target="_blank" >RIV/65269705:_____/25:00082341 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/00216224:14110/25:00143635 RIV/61989592:15110/25:73632904
Výsledek na webu
<a href="https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00559/128821/Body-size-and-intracranial-volume-interact-with" target="_blank" >https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00559/128821/Body-size-and-intracranial-volume-interact-with</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1162/imag_a_00559" target="_blank" >10.1162/imag_a_00559</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study
Popis výsledku v původním jazyce
Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources of biological variation such as subject's sex and age. However, corrections for body size (i.e., height and weight) are mostly lacking in clinical neuroimaging designs. This study investigates the importance of body size parameters in their relationship with spinal cord (SC) and brain magnetic resonance imaging (MRI) metrics. Data were derived from a cosmopolitan population of 267 healthy human adults (age 30.1 +/- 6.6 years old, 125 females). We show that body height correlates with brain gray matter (GM) volume, cortical GM volume, total cerebellar volume, brainstem volume, and cross-sectional area (CSA) of cervical SC white matter (CSA-WM; 0.44 <= r <= 0.62). Intracranial volume (ICV) correlates with body height (r = 0.46) and the brain volumes and CSA-WM (0.37 <= r <= 0.77). In comparison, age correlates with cortical GM volume, precentral GM volume, and cortical thickness (-0.21 >= r >= -0.27). Body weight correlates with magnetization transfer ratio in the SC WM, dorsal columns, and lateral corticospinal tracts (-0.20 >= r >= -0.23). Body weight further correlates with the mean diffusivity derived from diffusion tensor imaging (DTI) in SC WM (r = -0.20) and dorsal columns (-0.21), but only in males. CSA-WM correlates with brain volumes (0.39 <= r <= 0.64), and with precentral gyrus thickness and DTI-based fractional anisotropy in SC dorsal columns and SC lateral corticospinal tracts (-0.22 >= r >= -0.25). Linear mixture of age, sex, or sex and age, explained 2 +/- 2%, 24 +/- 10%, or 26 +/- 10%, of data variance in brain volumetry and SC CSA. The amount of explained variance increased to 33 +/- 11%, 41 +/- 17%, or 46 +/- 17%, when body height, ICV, or body height and ICV were added into the mixture model. In females, the explained variances halved suggesting another unidentified biological factor(s) determining females' central nervous system (CNS) morphology. In conclusion, body size and ICV are significant biological variables. Along with sex and age, body size should therefore be included as a mandatory variable in the design of clinical neuroimaging studies examining SC and brain structure; and body size and ICV should be considered as covariates in statistical analyses. Normalization of different brain regions with ICV diminishes their correlations with body size, but simultaneously amplifies ICV-related variance (r = 0.72 +/- 0.07) and suppresses volume variance of the different brain regions (r = 0.12 +/- 0.19) in the normalized measurements.
Název v anglickém jazyce
Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study
Popis výsledku anglicky
Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources of biological variation such as subject's sex and age. However, corrections for body size (i.e., height and weight) are mostly lacking in clinical neuroimaging designs. This study investigates the importance of body size parameters in their relationship with spinal cord (SC) and brain magnetic resonance imaging (MRI) metrics. Data were derived from a cosmopolitan population of 267 healthy human adults (age 30.1 +/- 6.6 years old, 125 females). We show that body height correlates with brain gray matter (GM) volume, cortical GM volume, total cerebellar volume, brainstem volume, and cross-sectional area (CSA) of cervical SC white matter (CSA-WM; 0.44 <= r <= 0.62). Intracranial volume (ICV) correlates with body height (r = 0.46) and the brain volumes and CSA-WM (0.37 <= r <= 0.77). In comparison, age correlates with cortical GM volume, precentral GM volume, and cortical thickness (-0.21 >= r >= -0.27). Body weight correlates with magnetization transfer ratio in the SC WM, dorsal columns, and lateral corticospinal tracts (-0.20 >= r >= -0.23). Body weight further correlates with the mean diffusivity derived from diffusion tensor imaging (DTI) in SC WM (r = -0.20) and dorsal columns (-0.21), but only in males. CSA-WM correlates with brain volumes (0.39 <= r <= 0.64), and with precentral gyrus thickness and DTI-based fractional anisotropy in SC dorsal columns and SC lateral corticospinal tracts (-0.22 >= r >= -0.25). Linear mixture of age, sex, or sex and age, explained 2 +/- 2%, 24 +/- 10%, or 26 +/- 10%, of data variance in brain volumetry and SC CSA. The amount of explained variance increased to 33 +/- 11%, 41 +/- 17%, or 46 +/- 17%, when body height, ICV, or body height and ICV were added into the mixture model. In females, the explained variances halved suggesting another unidentified biological factor(s) determining females' central nervous system (CNS) morphology. In conclusion, body size and ICV are significant biological variables. Along with sex and age, body size should therefore be included as a mandatory variable in the design of clinical neuroimaging studies examining SC and brain structure; and body size and ICV should be considered as covariates in statistical analyses. Normalization of different brain regions with ICV diminishes their correlations with body size, but simultaneously amplifies ICV-related variance (r = 0.72 +/- 0.07) and suppresses volume variance of the different brain regions (r = 0.12 +/- 0.19) in the normalized measurements.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
30103 - Neurosciences (including psychophysiology)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Imaging Neuroscience
ISSN
2837-6056
e-ISSN
2837-6056
Svazek periodika
3
Číslo periodika v rámci svazku
MAY 2025
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
31
Strana od-do
"imaga00559"
Kód UT WoS článku
001524785200002
EID výsledku v databázi Scopus
2-s2.0-105010535791