Active information sampling in health and disease.

Area of Science:

• Cognitive Neuroscience
• Neuroeconomics
• Computational Psychiatry

Background:

• Active information gathering is crucial for navigating uncertainty and making adaptive decisions.
• Understanding the brain's mechanisms for information sampling is vital for both healthy function and neurological disorders.

Purpose of the Study:

• To synthesize current knowledge on the behavioral, neural, and computational mechanisms of information sampling.
• To examine the role of various brain regions and neurotransmitters in information gathering.
• To explore how brain disorders impact information sampling and to propose a neuroeconomic framework.

Main Methods:

• Literature synthesis of behavioral, neural, and computational studies.
• Analysis of neuroimaging and clinical data related to information gathering.
• Neuroeconomic modeling of information evaluation (cost-benefit analysis).

Main Results:

• Identified key roles for limbic, insular, fronto-parietal, and striatal systems.
• Highlighted the involvement of norepinephrine, dopamine, and serotonin.
• Demonstrated impairments in information gathering in schizophrenia, OCD, and Parkinson's disease.

Conclusions:

• Active information gathering is a fundamental brain process essential for adaptive behavior.
• Disruptions in information sampling are relevant to psychiatric and neurological conditions.
• Findings support the development of computational assays and targeted interventions for brain disorders.