Simple Science

Cutting edge science explained simply

# Quantitative Biology# Neurons and Cognition

Changes in Brain Connectivity with Age

The study reveals increased brain connectivity in older adults over two years.

― 5 min read


Aging and BrainAging and BrainConnectivity Insightsconnectivity in older adults.Study shows increased brain
Table of Contents

Functional Magnetic Resonance Imaging (FMRI) is a method used to look at how different parts of the brain work together. It can help scientists see which areas are active during certain tasks, like seeing, thinking, or feeling emotions. One important aspect of fMRI is Functional Connectivity (FC), which measures the relationship between different brain regions based on how their activity patterns change over time. This study focuses on changes in FC over two years in older adults.

Purpose of the Study

This research looks at how FC changes in older adults by examining data from a large group of people in the UK BioBank. The UK Biobank is a long-term health study that collects a wide variety of information from its participants, including brain scans. This study aims to find out if there are noticeable changes in how brain regions connect as people age, specifically focusing on connectivity between the somatomotor (SMT) and visual (VIS) networks.

Data and Methods

The study analyzed fMRI scans from 2,722 people who were part of the UK Biobank program. These participants had two brain scans taken about two years apart. The researchers wanted to see if the connections between the SMT and VIS networks changed over this time. They used a tool called the Power264 atlas, which helps to identify areas in the brain and their connections.

To measure changes, the researchers applied a statistical test to see if the observed changes in connectivity were significant. They also wanted to know if the Power264 method or another method provided by UK Biobank was better at predicting which of the two scans was older.

Findings

The results showed an average increase of 6.8% in connectivity between the SMT and VIS networks from the first scan to the second scan. This increase was seen across different groups, including older and younger participants, as well as males and females. Among all types of brain connections studied, the SMT-VIS connectivity was the best indicator of which scan was older, accurately identifying the older scan 57% of the time.

When using a larger set of data for training a prediction model, the researchers found they could correctly identify the older scan 82.5% of the time with either the Power264 atlas or the other method used. This indicates that the changes in connectivity might be relevant for understanding how aging affects brain function.

Background on Functional Connectivity

FC provides valuable insight into how various brain regions communicate during rest and different activities. Previous studies have found that FC tends to change throughout a person's life. In young children, brain regions are typically highly connected, but as they grow older, these connections become more specialized or modular. Differences in connectivity are also noted between males and females, with each showing different patterns in brain networking.

With aging, changes in FC can be complex. Some studies indicate that certain networks, like the default mode network (DMN), show increased connectivity, while others may show decreases. The exact nature of these changes can vary and may not be consistent across all individuals.

Significance of the Findings

This study contributes to the understanding of how functional connectivity in the brain changes with age. The increase in SMT-VIS connectivity suggests that, contrary to some earlier findings, certain types of connectivity might strengthen as people get older. This could have important implications for how we understand brain function in aging adults.

The research also highlights that using a large longitudinal dataset, like that of the UK Biobank, can provide more reliable insights compared to smaller, cross-sectional studies, which may show misleading results due to their limited scope. The fact that the increased connectivity was seen in diverse groups of subjects strengthens the validity of these findings.

Potential Implications

Understanding how brain connectivity changes with age can provide important insights into healthy aging and may help in identifying early signs of neurological conditions. As the population ages, it is crucial to distinguish between normal aging and pathological conditions like dementia. This study suggests that there may be aspects of brain function that can remain healthy and even improve as people grow older.

The findings may also suggest that traditional measures of brain health, which focus solely on areas of decline, may need to be re-evaluated to incorporate a broader view of brain function and connectivity.

Methodological Considerations

The research team used several statistical methods to analyze connectivity changes, ensuring that their conclusions were based on solid data. However, it is essential to consider that other factors, such as changes in the scanning equipment or procedures, could influence the results. It is crucial to acknowledge these limitations when interpreting the findings.

Moreover, the participants in this study were primarily from a specific demographic group (98% Caucasian). This raises questions about how widely these results can be applied across diverse populations. Further studies should aim to include a broader range of participants to ensure the findings are generalizable.

Conclusion

In summary, this study examines how the connections between specific brain networks change as people age. The findings indicate an increase in connectivity between the SMT and VIS networks over a two-year period in older adults. This increase suggests that certain aspects of brain function may remain strong or even improve with age.

Continued research into brain connectivity and aging is crucial. It can help us better understand the overall health of the brain during the aging process and may provide insights that are valuable in the fight against conditions like dementia. As we deepen our knowledge of these processes, we are better equipped to support healthy aging in our communities.

Original Source

Title: Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort

Abstract: Purpose: Functional magnetic resonance imaging (fMRI) and functional connectivity (FC) have been used to follow aging in both children and older adults. Robust changes have been observed in children, where high connectivity among all brain regions changes to a more modular structure with maturation. In this work, we examine changes in FC in older adults after two years of aging in the UK Biobank longitudinal cohort. Approach: We process data using the Power264 atlas, then test whether FC changes in the 2,722-subject longitudinal cohort are statistically significant using a Bonferroni-corrected t-test. We also compare the ability of Power264 and UKB-provided, ICA-based FC to determine which of a longitudinal scan pair is older. Results: We find a 6.8\% average increase in SMT-VIS connectivity from younger to older scan (from $\rho=0.39$ to $\rho=0.42$) that occurs in male, female, older subject ($>65$ years old), and younger subject ($

Authors: Anton Orlichenko, Kuan-Jui Su, Qing Tian, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

Last Update: 2023-08-25 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2308.07992

Source PDF: https://arxiv.org/pdf/2308.07992

Licence: https://creativecommons.org/licenses/by-sa/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

More from authors

Similar Articles