<p>Cerebrovascular regulatory capacity is essential for maintaining brain stability. Most previous studies have focused on middle-aged and elderly populations, where regulation depends on vasodilation with reduced resistance and elevated blood pressure—the pressure-dependent mechanism. Whether this paradigm applies to younger individuals remains unclear. Given the rising prevalence of cardiovascular and cerebrovascular risks in young adults, elucidating youth-specific mechanisms is of great importance. In this study, standardized breath-holding was used to induce hypercapnia in 52 young volunteers (23.67 ± 1.77&#xa0;years). Hemodynamic parameters of both middle cerebral arteries (blood pressure, heart rate, and flow velocity) were measured at rest and during hypercapnia. The breath-holding index (BHI), reflecting cerebrovascular regulatory capacity, was calculated, and a hemodynamic model was applied to derive resistance variation coefficient (<InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(R_{v}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>R</mi> <mi>v</mi> </msub> </math></EquationSource> </InlineEquation>), diameter variation coefficient (<InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(D_{v}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>D</mi> <mi>v</mi> </msub> </math></EquationSource> </InlineEquation>), and compliance (<InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(C\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>C</mi> </math></EquationSource> </InlineEquation>), forming a multiparametric framework. In total, 104 unilateral datasets underwent multilevel statistical analysis. Two regulatory patterns were identified: pressure-dependent (<i>n</i> = 72) and pressure-independent (<i>n</i> = 32). The pressure-independent group showed greater dilation (<InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(D_{v}\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>D</mi> <mi>v</mi> </msub> </math></EquationSource> </InlineEquation>: 1.4222 vs. 1.2817, <i>p</i> &lt; 0.05) and more stable blood pressure (1.4271 vs. 5.3937&#xa0;mmHg, <i>p</i> &lt; 0.05), achieving comparable cerebrovascular regulatory capacity (<InlineEquation ID="IEq5"> <EquationSource Format="TEX">\({\text{BHI}}\)</EquationSource> <EquationSource Format="MATHML"><math> <mtext>BHI</mtext> </math></EquationSource> </InlineEquation>: 1.3327 vs. 1.3907, <i>p</i> &gt; 0.05) via enhanced compliance. Strong correlations were observed between rest and task states for blood pressure, heart rate, and flow velocity (all <i>r</i> &gt; 0.85, <i>p</i> &lt; 0.001). The proposed pressure-independent mechanism challenges the conventional paradigm, highlights individual variability, and offers new insights into cerebrovascular regulatory capacity under hypercapnia.</p>

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Compliance-mediated pressure-independent cerebrovascular regulation: a distinct novel mechanism in youth

  • Zijie Wang,
  • Youjun Liu,
  • Hao Sun,
  • Tengfei Li,
  • Liyuan Zhang,
  • Guangfei Li,
  • Binxu Yang,
  • Yanjun Gong,
  • Bao Li

摘要

Cerebrovascular regulatory capacity is essential for maintaining brain stability. Most previous studies have focused on middle-aged and elderly populations, where regulation depends on vasodilation with reduced resistance and elevated blood pressure—the pressure-dependent mechanism. Whether this paradigm applies to younger individuals remains unclear. Given the rising prevalence of cardiovascular and cerebrovascular risks in young adults, elucidating youth-specific mechanisms is of great importance. In this study, standardized breath-holding was used to induce hypercapnia in 52 young volunteers (23.67 ± 1.77 years). Hemodynamic parameters of both middle cerebral arteries (blood pressure, heart rate, and flow velocity) were measured at rest and during hypercapnia. The breath-holding index (BHI), reflecting cerebrovascular regulatory capacity, was calculated, and a hemodynamic model was applied to derive resistance variation coefficient ( \(R_{v}\) R v ), diameter variation coefficient ( \(D_{v}\) D v ), and compliance ( \(C\) C ), forming a multiparametric framework. In total, 104 unilateral datasets underwent multilevel statistical analysis. Two regulatory patterns were identified: pressure-dependent (n = 72) and pressure-independent (n = 32). The pressure-independent group showed greater dilation ( \(D_{v}\) D v : 1.4222 vs. 1.2817, p < 0.05) and more stable blood pressure (1.4271 vs. 5.3937 mmHg, p < 0.05), achieving comparable cerebrovascular regulatory capacity ( \({\text{BHI}}\) BHI : 1.3327 vs. 1.3907, p > 0.05) via enhanced compliance. Strong correlations were observed between rest and task states for blood pressure, heart rate, and flow velocity (all r > 0.85, p < 0.001). The proposed pressure-independent mechanism challenges the conventional paradigm, highlights individual variability, and offers new insights into cerebrovascular regulatory capacity under hypercapnia.