Mental Health

Early Brain Markers in Infants Predict Future Mental Health Risks, Study Reveals

By Corazon Victorino | Update Date: Jun 30, 2024 11:49 PM EDT
infant

infant | (Photo : Avsar Aras / Wikimedia Commons)

A recent study has unveiled potential early indicators in infants that could predict future mental health challenges.

Researchers from the University of Pittsburgh have identified a correlation between microstructural complexities in specific prefrontal brain regions and emotional traits that may influence long-term mental health outcomes, PsyPost reported.

Microstructural complexity, referring to the organization of neurons, axons, and dendrites within the brain, plays a crucial role in how infants process emotions. Higher complexity indicates more neural connections, potentially impacting emotional regulation and behavioral responses later in life.

The study, involving 62 infants who underwent magnetic resonance imaging (MRI) at three months old, utilized neurite orientation dispersion and density imaging (NODDI) to analyze brain microstructures.

This technique measured the density and orientation of neurites in different prefrontal cortex subregions associated with salience perception and decision-making processes.

The team found significant associations between higher neurite density and orientation dispersion in specific subregions, such as the rostral anterior cingulate cortex (ACC) and lateral orbitofrontal cortex (OFC), and increased negative emotionality at different stages of infancy. Conversely, increased complexity in the dorsolateral prefrontal cortex (PFC) was linked to lower positive emotionality levels.

The implications extend beyond infancy, suggesting that early emotional reactivity patterns could serve as predictive markers for conditions like depression, anxiety, and behavioral issues later in life.

The study published in Biological Psychiatry showed the need for further research into environmental influences, such as socioeconomic status, on infant brain development and emotional regulation.

Future studies may benefit from integrating comprehensive measures of socioeconomic factors and employing rigorous behavioral assessments to enhance the reliability of emotionality evaluations. This approach could pave the way for targeted interventions aimed at fostering better mental health outcomes from early childhood into adulthood.

The study titled "Early Infant Prefrontal Cortical Microstructure Predicts Present and Future Emotionality" was authored by Yicheng Zhang, Layla Banihashemi, Amelia Versace, Ashok Panigrahy, Alison E. Hipwell, and Mary L. Phillips.

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