Selective vulnerability related to aging in large-scale resting brain networks

Area of Science:

• Neuroscience
• Cognitive Aging Research
• Brain Network Analysis

Background:

• Normal aging is linked to cognitive decline, affecting large-scale brain networks.
• Previous research suggests aging impacts brain networks, but the extent of effects on specific networks is unclear.

Purpose of the Study:

• To investigate whether aging affects large-scale brain networks uniformly.
• To compare functional connectivity in specific resting-state networks between younger and older adults.

Main Methods:

• Resting-state functional MRI (fMRI) scans were acquired from 40 healthy adults (18 younger, 22 older).
• Functional connectivity was analyzed within four canonical resting-state networks: default mode network (DMN), executive control network (ECN), dorsal attention network (DAN), and salience network.
• A visual network was included as a control.

Main Results:

• Significant, distinct alterations were observed in aging-related brain networks.
• The executive control network (ECN) showed the most disruption, followed by the dorsal attention network (DAN).
• The default mode network (DMN) and salience network exhibited minimal disruption, similar to the preserved visual network.

Conclusions:

• The aged brain exhibits selective vulnerability across large-scale intrinsic brain networks.
• Findings enhance understanding of aging mechanisms in the brain.
• Further research is needed to correlate selective network alterations with behavioral performance changes.