Challenges and future directions for representations of functional brain organization

Area of Science:

• Neuroscience
• Cognitive Science
• Medical Imaging

Background:

• Brain organization relies on functional integration within interconnected networks.
• Resting-state functional MRI (fMRI) reveals functional connectivity through coherent spontaneous activity fluctuations.
• Current research is fragmented due to diverse analytical approaches, hindering replication and clinical translation.

Purpose of the Study:

• To provide an overview of various brain representations derived from fMRI data.
• To identify challenges causing field fractionation and obstacles to convergence.
• To propose guidelines for unifying the field of functional connectivity research.

Main Methods:

• Review and synthesis of existing literature on brain representations.
• Analysis of diverging methodologies in functional connectivity analysis.
• Identification of common challenges and limitations across different approaches.

Main Results:

• Diverse methods for reducing complex brain data into lower-dimensional 'brain representations' are a primary source of field fractionation.
• Existing analytical disparities create research silos, impeding scientific progress and clinical applications.
• A lack of standardized approaches hinders the comparison and integration of findings across studies.

Conclusions:

• Standardizing brain representation methods is crucial for advancing functional connectivity research.
• Guidelines are proposed to foster convergence and facilitate replication and clinical translation.
• Unifying the field will enhance our understanding of brain networks in cognition and disease.