Functional parcellation of the default mode network: a large-scale meta-analysis

Area of Science:

• Neuroscience
• Cognitive Psychology

Background:

• The default mode network (DMN) is crucial for cognition.
• Key DMN regions include the posterior cingulate cortex (PCC), temporal parietal junction (TPJ), and medial prefrontal cortex (MPFC).
• The specific roles of these subregions in cognition and health remain unclear.

Purpose of the Study:

• To investigate the unique contributions of PCC, TPJ, and MPFC to cognitive processes.
• To explore the functional specialization within these DMN subregions.
• To associate DMN subregion activation with specific cognitive functions and health conditions.

Main Methods:

• Utilized a meta-analytic parcellation approach.
• Employed the Neurosynth database and classification methods.
• Analyzed coactivation patterns to subdivide PCC, TPJ, and MPFC.

Main Results:

• Confirmed PCC, TPJ, and MPFC collectively support decision making, memory, and awareness.
• Demonstrated that each region can be subdivided into functionally distinct subcomponents.
• Quantified associations between DMN subregions and various cognitive topics and health conditions.

Conclusions:

• The study further delineates DMN function by highlighting sub-regional specialization.
• Understanding DMN sub-regional contributions is vital for healthy cognition.
• This research may inform targeted treatment protocols for various health conditions.