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Record W2514038579 · doi:10.1113/jp272366

Cerebrovascular reactivity in the developing brain: influence of sex and maturation

2016· letter· en· W2514038579 on OpenAlexaff
Lindsay Ellis, Daniela Flück

Bibliographic record

VenueThe Journal of Physiology · 2016
Typeletter
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsReactivity (psychology)NeurosciencePsychologyInternal medicineMedicinePathology

Abstract

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The brain is energetically expensive and maintenance of normal cerebral metabolism is critically dependent on the regulation of cerebral blood flow (CBF). In addition to buffering changes in blood pressure and meeting local metabolic needs, the cerebrovasculature has an exquisite sensitivity to even small changes in the partial pressure of arterial CO2 (). This response is termed cerebrovascular reactivity (CVR) and reflects the functional capacity of the cerebrovasculature to dilate and constrict, for example in response to flucations in (Ainslie & Duffin, 2009). When used in clinical settings, CVR has been used to evaluate cerebrovascular function in at-risk populations, such as in stroke and hypertensive patients (Ainslie & Duffin, 2009). A multitude of studies have investigated CVR in adults; however, studies investigating CBF and CVR in children are scarce. Maturation, unique developmental trajectories for males and females, and high cerebral metabolic demands greatly affect the regulation of CBF in children. As such, data on CBF and CVR are crucial in the pediatric population for the understanding of overall brain development and function throughout the formative years. A recent Journal of Physiology article by Leung et al. (2016) utilized powerful and quantitative techniques – arterial spin labelling (ASL) and blood-oxygen level-dependent (BOLD) magnetic resonance imaging (MRI) – to characterize the developmental trajectories of CBF and CVR in grey (GM) and white matter (WM) in healthy children and young adults. Accordingly, this investigation highlighted the importance of accounting for age-related cerebrovascular changes when assessing developmental changes in CBF and CVR. A cohort of 17 males and 17 females (aged 9–30 years) underwent a CVR challenge using a novel prospective end-tidal forcing system capable of targeting specific end-tidal O2 and CO2 levels ( and , respectively) on a breath-by-breath basis. This challenge consisted of four blocks of alternating 60 s of normoxic ( = 100 mHg) isocapnia ( = 40 mmHg) and 45 s of normoxic ( = 100 mHg) hypercapnia ( = 45 mmHg); the protocol was terminated by a 60 s period of normoxic isocapnia resulting in a total time of 8 min. Together with the CVR challenge, imaging data were collected for 8 min with a single-shot T2*-weighted echo-planar imaging sequence. T1-weighted anatomical images with isotropic 1.0 mm voxel size were collected for co-registration and segmentation of GM and WM regions. Moreover, a pulsed ASL sequence was utilized to obtain baseline CBF data. The CVR values were created by temporally aligning waveform and the corresponding BOLD MRI datasets, followed by a resampling of the data. A linear regression between the two resulted in CVR values for each voxel on the CVR map represented as %ΔMR signal mmHg–1 (CO2). The CVR and CBF maps were then coregistered in order to calculate the global mean reactivity and mean CBF in the GM and WM for each subject. Primary results from this investigation indicate that CVR in GM and WM increases (∼55 % in GM, ∼51 % in WM) in children aged 9–14.7 years and decreases (∼27 % in GM, ∼26 % in WM) thereafter. However, the data revealed that mean CBF in GM and WM declines approximately 50% from participants aged 9–30 years in signmoidal fashion. These novel findings provide a basis for further discussion related to (1) age-related changes in CVR and CBF, (2) sex hormones as potential modulators of CVR and CBF, and (3) methodological considerations and future directions. The developmental trajectory of the paediatric brain may underscore the mechanisms of CBF regulation and the cerebrovasculature's unique response to . In particular, it is possible that the large demand of CBF during development and maturation (see Fig. 1) may limit the capacity of the cerebrovasculature to respond to changes in , thus resulting in the blunted CVR presented by Leung et al. A blunted CVR is typically interpreted as a reduced vasoactive capacity in response to steady-state elevation in ; however, whether this intrepratation is the same during the brain development in children warrants further investigation. Importantly, there are a variety of other developmental factors that have the potential to explain the disparity in CBF between children and young adults. For example, the proportion of brain to body size may account for greater CBF in children in relation to adults (Lenroot & Giedd, 2006). Moreover, the greater CBF in pre-pubertal children may be associated with the increased metabolic demands within the brain as a result of increased neuronal development (Biagi et al. 2007). Sex hormones are known modulators of cerebral endothelial function. However CBF is independent of sex hormones in pre-pubertal children (Krause, 2006). Oestrogen and the metabolites of testosterone enhance sensitivity to vasodilatory factors, such as CO2; this indicates that the onset of puberty and associated sex hormones may be important modulators in CVR and CBF (Krause, 2006). The time point of cerebrovascular measurements in females, and the associated oestrogen present as a result of the menstrual cycle, may also affect cerebral vasculature. That said, the amount of oestrogen in the blood is not consistent throughout the female menstrual cycle and is lowest during the beginning of the follicular phase and peaks prior to the ovulatory phase. Thus, it would seem ideal to assess CBF and CVR in post-pubertal females at the beginning of the follicular phase. While the data presented by Leung et al. do not show a significant difference between post-pubertal males and females, this may be a result of artifact and non-standardization of data collection during the menstrual cycle in the female participants. The data presented by Leung et al. have important implications for future investigations as they highlight the developmental changes present in CBF and CVR from childhood to young adulthood. Along with the consideration of sex and maturation in future studies on CBF and CVR, the inclusion of a higher number of post-pubertal study participants will help clarify and delineate the related classifications based on age. Moreover, it is prudent to consider the time course needed for the cerebrovasculature to reach a steady state response to changes in and subsequent central chemoreceptor signals. While an acute change in vessel diameter may occur within 6–10 s of a vasoactive stimulus, such as hypercapnia, more time (i.e. > 45 s) may be necessary to observe a steady-state change (Ainslie & Duffin, 2009). Additionally, it is possible that 60 s of normocapnia was not long enough in duration to allow the cerebrovasculature to return to baseline (Ainslie & Duffin, 2009). In total, the aforementioned factors could falsely indicate a ‘blunted’ CVR response in children on the potential basis of an increased time to reach steady state. Lastly, studies investigating the effects of age and maturation on CVR in children during wakefulness, sleep and exercise are rare. Future investigations could include the aforementioned considerations and also investigate integrative cerebral physiology in children as it relates to sex, maturation and cerebral function. This will lead to a deeper understanding of the complex, and likely non-linear and non-stationary, interactions in cerebrovascular physiology throughout the lifespan. None declared. Both authors have approved the final version of the manuscript and agree to be accountable for all aspects of the work. All persons designated as authors qualify for authorship, and all those who qualify for authorship are listed. The authors are grateful to Dr Philip N. Ainslie for his suggestions and critical review of this manuscript.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.256
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations6
Published2016
Admission routes1
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