<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Brain Science | Dylan Chiang</title><link>https://dylanchiang-dev.github.io/en/tags/brain-science/</link><atom:link href="https://dylanchiang-dev.github.io/en/tags/brain-science/index.xml" rel="self" type="application/rss+xml"/><description>Brain Science</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-US</language><lastBuildDate>Sun, 04 Jan 2026 00:00:00 +0000</lastBuildDate><image><url>https://dylanchiang-dev.github.io/media/icon_hu_982c5d63a71b2961.png</url><title>Brain Science</title><link>https://dylanchiang-dev.github.io/en/tags/brain-science/</link></image><item><title>Paper reading: Topological turning points across the human lifespan</title><link>https://dylanchiang-dev.github.io/en/post/brain-topological-turning-points-lifespan/</link><pubDate>Sun, 04 Jan 2026 00:00:00 +0000</pubDate><guid>https://dylanchiang-dev.github.io/en/post/brain-topological-turning-points-lifespan/</guid><description>&lt;p>#paper information&lt;/p>
&lt;p>&lt;strong>Title&lt;/strong>: Topological turning points across the human lifespan
&lt;strong>Journal&lt;/strong>: Nature Communications
&lt;strong>Year&lt;/strong>: 2025
&lt;strong>DOI&lt;/strong>:
&lt;/p>
&lt;hr>
&lt;h2 id="research-background">Research background&lt;/h2>
&lt;p>The structural topology of the human brain develops nonlinearly with age and is closely related to cognitive trajectories. Past research has tended to focus on specific age ranges (such as childhood or old age) but lacks a global perspective across the entire life cycle.&lt;/p>
&lt;p>This study raises a core question: ** Are there key &amp;ldquo;turning points&amp;rdquo; in brain organization that mark the brain entering different stages of development? **&lt;/p>
&lt;p>To answer this question, the research team collected nine data sets ranging in age from &lt;strong>0 to 90 years&lt;/strong>, with a total sample size of &lt;strong>4,216 people&lt;/strong>.&lt;/p>
&lt;hr>
&lt;h2 id="research-methods">Research methods&lt;/h2>
&lt;h3 id="1-data-analysis-scale">1. Data analysis scale&lt;/h3>
&lt;ul>
&lt;li>&lt;strong>Number of samples&lt;/strong>: N = 4,216 (neurotypical subset n = 3,802)&lt;/li>
&lt;li>&lt;strong>Technology&lt;/strong>: Diffusion Imaging&lt;/li>
&lt;li>&lt;strong>Metrics&lt;/strong>: 12 Graph Theory Metrics, used to quantify brain tissue architecture.&lt;/li>
&lt;/ul>
&lt;h3 id="2-manifold-learning">2. Manifold Learning&lt;/h3>
&lt;ul>
&lt;li>Use &lt;strong>UMAP&lt;/strong> (Uniform Manifold Approximation and Projection) to project high-dimensional topological data into a three-dimensional manifold space.&lt;/li>
&lt;li>The aim is to capture the non-linear dynamics of age-related changes in brain topology.&lt;/li>
&lt;/ul>
&lt;hr>
&lt;h2 id="key-findings-five-life-stages-and-four-turning-points">Key findings: Five life stages and four turning points&lt;/h2>
&lt;p>The study found that there are four major &amp;ldquo;turning points&amp;rdquo; in the development of brain topology, which occur around the ages of &lt;strong>9, 32, 66 and 83 years old&lt;/strong>. These turning points divide life into five unique Epochs:&lt;/p>
&lt;table>
&lt;thead>
&lt;tr>
&lt;th style="text-align: left">Stage&lt;/th>
&lt;th style="text-align: left">Age range&lt;/th>
&lt;th style="text-align: left">Name&lt;/th>
&lt;th style="text-align: left">Characteristic description&lt;/th>
&lt;/tr>
&lt;/thead>
&lt;tbody>
&lt;tr>
&lt;td style="text-align: left">Epoch 1&lt;/td>
&lt;td style="text-align: left">0–9 years old&lt;/td>
&lt;td style="text-align: left">Infancy to childhood&lt;/td>
&lt;td style="text-align: left">Global integration decreases and local preference (Segregation) increases.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">Epoch 2&lt;/td>
&lt;td style="text-align: left">9–32 years old&lt;/td>
&lt;td style="text-align: left">Adolescence&lt;/td>
&lt;td style="text-align: left">The degree of brain network integration increases, and the small-world property (Small-worldness) is significantly improved.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">Epoch 3&lt;/td>
&lt;td style="text-align: left">Ages 32–66&lt;/td>
&lt;td style="text-align: left">Adulthood&lt;/td>
&lt;td style="text-align: left">Developmental trajectories stabilize, with a slow decline in integration and an increase in local efficiency.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">Epoch 4&lt;/td>
&lt;td style="text-align: left">Age 66–83&lt;/td>
&lt;td style="text-align: left">Early aging&lt;/td>
&lt;td style="text-align: left">Changes in modularity become the dominant feature.&lt;/td>
&lt;/tr>
&lt;tr>
&lt;td style="text-align: left">Epoch 5&lt;/td>
&lt;td style="text-align: left">83–90 years old&lt;/td>
&lt;td style="text-align: left">Late aging&lt;/td>
&lt;td style="text-align: left">The relationship between age and topology weakens, and subgraph centrality becomes the main feature.&lt;/td>
&lt;/tr>
&lt;/tbody>
&lt;/table>
&lt;h3 id="detailed-description-of-key-findings">Detailed description of key findings&lt;/h3>
&lt;ol>
&lt;li>
&lt;p>&lt;strong>32: The most powerful turning point in your life&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>Research shows that age 32 is the most dramatic time for brain topological rewiring.&lt;/li>
&lt;li>This is consistent with the finding that White Matter Volume and Fractional Anisotropy peak around age 29.&lt;/li>
&lt;li>This marks the brain&amp;rsquo;s shift from the &amp;ldquo;increased efficiency and integration&amp;rdquo; stage to the &amp;ldquo;increased isolation and stability&amp;rdquo; stage.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>Age 9: The End of Childhood&lt;/strong>
-The turning point coincides with the onset of puberty, peak cortical thickness, and substantial improvements in cognitive abilities.&lt;/p>
&lt;ul>
&lt;li>Marks a structural shift in brain structure from a single pattern of growth to a more complex pattern of maturation.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;li>
&lt;p>&lt;strong>Ageing does not proceed at a uniform speed&lt;/strong>&lt;/p>
&lt;ul>
&lt;li>The turning point between ages 66 and 83 heralds the onset of a &amp;ldquo;simplified&amp;rdquo; mode of the brain, which is associated with an accelerated decline in white matter integrity and an increased risk of health problems such as dementia and high blood pressure.&lt;/li>
&lt;/ul>
&lt;/li>
&lt;/ol>
&lt;hr>
&lt;h2 id="research-significance-and-inspiration">Research significance and inspiration&lt;/h2>
&lt;h3 id="1-redefine-adolescence">1. Redefine &amp;ldquo;adolescence&amp;rdquo;&lt;/h3>
&lt;p>The study found that topological developmental trajectories during adolescence continue until age 32, well beyond what is traditionally thought to be around age 20. This supports the modern neuroscientific view that the brain matures much later than we thought.&lt;/p>
&lt;h3 id="2-the-guiding-value-of-non-linear-development">2. The guiding value of non-linear development&lt;/h3>
&lt;p>The development of the brain does not rise in a straight line and then decline, but is a &amp;ldquo;turn&amp;rdquo; full of qualitative changes. This has important implications for clinical diagnosis, helping to distinguish normal staged changes from pathological cognitive decline.&lt;/p>
&lt;hr>
&lt;h2 id="my-understanding">My understanding&lt;/h2>
&lt;p>This study uses large-scale data to demonstrate the nonlinear dynamics of human brain structural topology during the life cycle, the most noteworthy of which is the turning point of &lt;strong>32 years old&lt;/strong>. Examined from the perspective of phylogeny and developmental biology, this finding provides several profound implications:&lt;/p>
&lt;h3 id="1-trade-off-between-structure-and-function">1. Trade-off between structure and function&lt;/h3>
&lt;p>Before the age of 30, the main axis of brain development is &amp;ldquo;increased integration.&amp;rdquo; This is a structured support period for extensive exploration and learning of the external environment. The brain improves the efficiency of information exchange throughout the brain by strengthening long-distance connections. However, this high level of integration is also accompanied by higher energy consumption and signal interference.&lt;/p>
&lt;p>The turning point at age 32 marks the brain’s shift from “comprehensive expansion” to “precision optimization.” The decline in overall integration is not equivalent to a decline in functionality, but more like a structural &amp;ldquo;specialization.&amp;rdquo; Specific modules (Sub-networks) become more independent. This enhancement in modularity is beneficial to the stability of performing specific tasks and reduces noise interference in irrelevant areas. In cognitive psychology, this corresponds to the transition from &amp;ldquo;divergent flexibility&amp;rdquo; to &amp;ldquo;professional proficiency.&amp;rdquo;&lt;/p>
&lt;h3 id="2-synergy-of-biological-markers">2. Synergy of biological markers&lt;/h3>
&lt;p>The age of 32 does not exist in isolation. It is highly synchronized with peak white matter integrity, completion of the myelination process, and stabilization of neurotransmitter systems. This shows that during the course of evolution, the human body has set a biological clock that closes the &amp;ldquo;extensive remodeling window&amp;rdquo; at the beginning of the fourth decade. This synchronicity implies that the brain structure is shifted to better adapt to the long-term social division of labor and survival challenges in adulthood, and to invest limited metabolic resources into more productive specialized modules.&lt;/p>
&lt;h3 id="3-reconstruction-of-the-definition-of-adolescence">3. Reconstruction of the definition of &amp;ldquo;adolescence&amp;rdquo;&lt;/h3>
&lt;p>If the activity of topological rewiring is considered an indicator of adolescence, this study clearly shows that our definition of brain maturity (often pegged at around age 20) may be too dependent on legal and cultural labels rather than biological facts. From a brain structure perspective, the aftermath of adolescence actually extends into age 32. During this period, the brain still has strong potential for global integration, which explains why this period is the visual window for the final consolidation of professional skills shaping and worldview.&lt;/p>
&lt;h3 id="4-precursors-and-nonlinear-characteristics-of-aging">4. Precursors and nonlinear characteristics of aging&lt;/h3>
&lt;p>The study&amp;rsquo;s description of the turning points at ages 66 and 83 reveals that aging is not a slow wear-and-tear process but a staged evolution involving specific topological features. Especially after the age of 80, the relationship between age and topology weakens, suggesting that individual differences (such as genes, lifestyle, reserve capacity) may exceed the influence of basic developmental laws at extremely advanced ages.&lt;/p>
&lt;p>In summary, this study reminds us that the brain executes different optimization logics at different stages of life: when young, it pursues &amp;ldquo;connecting everything&amp;rdquo; to gain possibilities, in middle age, it pursues &amp;ldquo;module independence&amp;rdquo; to ensure efficiency, and in old age, it tries to maintain core connections to cope with inevitable hardware degradation. This structural shift is not a negative degeneration, but a manifestation of life&amp;rsquo;s constant search for optimal adaptive solutions as time goes by.&lt;/p>
&lt;hr>
&lt;h2 id="related-resources">Related resources&lt;/h2>
&lt;ul>
&lt;li>
&lt;/li>
&lt;li>
&lt;/li>
&lt;li>
&lt;/li>
&lt;/ul>
&lt;hr>
&lt;p>&lt;strong>Reading date&lt;/strong>: 2026-01-04
&lt;strong>Notes organized&lt;/strong>: Dylan Chiang&lt;/p></description></item></channel></rss>