Advanced MRI Reveals Structural Brain Changes Linked to Better Cognitive Health

Objective, noninvasive measures that capture subtle, training-related changes in adult brain structure remain limited in routine clinical practice. Quantifying neuroplasticity with precision is especially challenging because traditional volumetric metrics may miss small but functionally meaningful adaptations. Robust biomarkers that align with real-world cognitive performance could help standardize how brain health is monitored over time. New findings demonstrate that specific MRI markers of cortical complexity track with longitudinal improvements on a validated brain health measure.

Center for BrainHealth at The University of Texas at Dallas, working with collaborators from the University of California, Berkeley and Kansas University Medical Center, identified sex‑informed MRI biomarkers that covary with changes in the BrainHealth Index (BHI). The BHI is a multidimensional composite developed by Center for BrainHealth encompassing cognitive clarity, social connectedness, and emotional balance. The analysis is presented in Brain Imaging and Behavior.

Investigators applied advanced surface‑based morphometry (SBM) rather than gross volumetrics to interrogate cortical complexity. SBM derived three complementary features—gyrification index (GI), sulcal depth (SD), and fractal dimension (FD)—to quantify folding patterns and surface architecture. These structural measures were examined alongside each participant’s changing BHI scores to determine biomarker trajectories over time.

The longitudinal cohort comprised 190 healthy adults aged 20–70 years (94 women, 96 men) who underwent up to five MRI sessions across four years. Participants were enrolled in The BrainHealth Project, which provided optional access to digital micro‑learning strategy modules (SMART brain training) and personalized coaching intended to support daily brain‑healthy habits. The study focused on naturalistic, real‑world participation rather than a fixed intervention schedule.

Higher BHI scores over time were significantly associated with “state‑like” neuroanatomical adaptations, reinforcing that neural efficiency aligns with structural optimization across adulthood. Increases in GI were observed in the left insula and posterior cingulate cortex as BHI improved. Sex‑specific patterns emerged: in women, gains in BHI correlated with increased SD in the left precuneus, middle temporal gyrus, and right cingulate gyrus, while in men, higher baseline BHI predicted FD increases in the left inferior parietal cortex.

“This study marks a significant leap forward in precision brain health by demonstrating that a holistic, multidimensional index of human performance actually covaries with physical, measurable changes in brain architecture. By proving that surface-based structural features like gyrification and sulcal depth adapt alongside behavioral gains, we show that the adult brain remains structurally dynamic and capable of optimization throughout the lifespan,” said Robyn A. Honea, PhD, with Honea NeuroPrecision LLC and Kansas University Medical Center.

“Every brain has a unique structural profile and an inherent capacity for positive neuroplastic change. These findings encourage a sex-informed lens when mapping structural MRI biomarkers to cognitive enhancement. Moving forward, combining behavioral indices with advanced morphometric tracking will allow us to tailor interventions to individual neuroanatomical profiles, empowering people to actively manage and optimize their brain performance,” said Lori Cook, PhD, CCC-SLP, director of clinical research at Center for BrainHealth and BrainHealth Network collaborator.

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