What does this research mean for the field?

Prenatal exposure to maternal poverty is associated with reduced neural network segregation and integration in early childhood, whereas higher maternal mental health symptoms are linked to increased segregation and integration, indicating that deprivation and maternal stress differentially impact early brain architecture. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.SUPPORTS_CONSENSUS.

What question did this study set out to answer?

To examine how prenatal exposure to maternal poverty and maternal mental health symptoms relates to resting-state neural network organization in early childhood.

August 16, 2026NeurophotonicsOpen Access

Poverty and caregiver mental health are related to infant and toddler resting-state brain networks: insights from fNIRS

View Full Paper

Ask AI

Bookmark

Authors

FTFabrice Tanoh

Discussion

Member takes

Overview

Longitudinal study reveals distinct brain network connectivity alterations in toddlers exposed to prenatal poverty and maternal distress, indicating divergent neural pathways for early adversities.

Key Points

To examine how prenatal exposure to maternal poverty and maternal mental health symptoms relates to resting-state neural network organization in early childhood.
Conducted a longitudinal study of 42 children (aged 6 to 36 months) from economically vulnerable households in rural Côte d'Ivoire.
Assessed maternal multidimensional poverty and mental health symptoms around conception and pregnancy, followed two years later by developmental assessments and portable functional near-infrared spectroscopy (fNIRS).
Calculated graph-theoretic metrics of resting-state functional connectivity, focusing on network segregation, integration, and small-worldness.
Greater exposure to poverty was qualitatively associated with reduced neural network segregation and integration in early childhood.
Higher prenatal maternal mental health symptoms were associated with increased neural network segregation and integration.

Cite This Study

Fabrice Tanoh (2026) studied this question.

synapsesocial.com/papers/6a8179abf2fb91fc834aceaf https://doi.org/10.1117/1.nph.13.s1.s13014

View Full Paper

Ask AI

Bookmark

August 16, 2026NeurophotonicsOpen Access

Poverty and caregiver mental health are related to infant and toddler resting-state brain networks: insights from fNIRS

View Full Paper

Ask AI

Bookmark

Authors

FTFabrice Tanoh

Discussion

Member takes

Overview

Longitudinal study reveals distinct brain network connectivity alterations in toddlers exposed to prenatal poverty and maternal distress, indicating divergent neural pathways for early adversities.

Key Points

To examine how prenatal exposure to maternal poverty and maternal mental health symptoms relates to resting-state neural network organization in early childhood.
Conducted a longitudinal study of 42 children (aged 6 to 36 months) from economically vulnerable households in rural Côte d'Ivoire.
Assessed maternal multidimensional poverty and mental health symptoms around conception and pregnancy, followed two years later by developmental assessments and portable functional near-infrared spectroscopy (fNIRS).
Calculated graph-theoretic metrics of resting-state functional connectivity, focusing on network segregation, integration, and small-worldness.
Greater exposure to poverty was qualitatively associated with reduced neural network segregation and integration in early childhood.
Higher prenatal maternal mental health symptoms were associated with increased neural network segregation and integration.

Cite This Study

Fabrice Tanoh (2026) studied this question.

synapsesocial.com/papers/6a8179abf2fb91fc834aceaf https://doi.org/10.1117/1.nph.13.s1.s13014

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark