Fractional Anisotropy Alterations in Key White Matter Pathways Associated with Cognitive Performance Assessed by MoCA

<b>Objectives:</b> This study investigated fractional anisotropy (FA) differences within key white matter tracts across patient groups stratified by Montreal Cognitive Assessment (MoCA) scores, aiming to evaluate FA's potential as a biomarker for cognitive impairment. <b>Methods:</b> Seventy participants (aged 57-96 years) were categorized into high (HP, MoCA ≥ 26), moderate (MP, MoCA 18-25), and low (LP, MoCA < 18) cognitive performance groups. Diffusion Tensor Imaging (DTI) was used to obtain FA values in corticospinal tracts, superior longitudinal fasciculus, inferior fronto-occipital fasciculus, and cingulum. Statistical analyses included ANOVA and post-hoc tests. <b>Results:</b> Significant differences in FA values and normative percentiles were observed across cognitive groups in several tracts. Notably, the MP group exhibited significantly higher FA values in the Left Superior Longitudinal Fasciculus-Arcuate (mean FA 0.329 vs. LP 0.306, <i>p</i> = 0.033) and Right Superior Longitudinal Fasciculus-Arcuate (mean FA 0.329 vs. LP 0.306, <i>p</i> = 0.009), Left Inferior Fronto-Occipital Fasciculus (mean FA 0.308 vs. LP 0.283, <i>p</i> = 0.021), and Right Inferior Fronto-Occipital Fasciculus (mean FA 0.289 vs. LP 0.266, <i>p</i> = 0.017) compared to the LP group. <b>Conclusions:</b> Our findings reveal significant FA alterations across MoCA-defined cognitive groups, with moderate impairment showing higher FA than low performance. This suggests FA may reflect complex microstructural changes in early cognitive decline. While our modest sample size, particularly in the low-performance group, limits definitive conclusions, these results highlight the need for larger, multimodal studies to validate FA's role as a sensitive, albeit complex, biomarker for cognitive impairment.

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Journal
Neurology International
Published
2025-09-25
DOI
https://doi.org/10.3390/neurolint17100154
Primary Topic
Advanced Neuroimaging Techniques and Applications
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article
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article

Fractional Anisotropy Alterations in Key White Matter Pathways Associated with Cognitive Performance Assessed by MoCA

Ainārs Stepens, Nauris Zdanovskis, Ardis Platkājis, Andrejs Kostiks et al.
Neurology International
Advanced Neuroimaging Techniques and Applications
article

Fractional Anisotropy Alterations in Key White Matter Pathways Associated with Cognitive Performance Assessed by MoCA

Ainārs Stepens, Nauris Zdanovskis, Ardis Platkājis, Andrejs Kostiks, Guntis Karelis, Kristı̄ne Šneidere, Kalvis Kaļva
article en

Abstract

<b>Objectives:</b> This study investigated fractional anisotropy (FA) differences within key white matter tracts across patient groups stratified by Montreal Cognitive Assessment (MoCA) scores, aiming to evaluate FA's potential as a biomarker for cognitive impairment. <b>Methods:</b> Seventy participants (aged 57-96 years) were categorized into high (HP, MoCA ≥ 26), moderate (MP, MoCA 18-25), and low (LP, MoCA < 18) cognitive performance groups. Diffusion Tensor Imaging (DTI) was used to obtain FA values in corticospinal tracts, superior longitudinal fasciculus, inferior fronto-occipital fasciculus, and cingulum. Statistical analyses included ANOVA and post-hoc tests. <b>Results:</b> Significant differences in FA values and normative percentiles were observed across cognitive groups in several tracts. Notably, the MP group exhibited significantly higher FA values in the Left Superior Longitudinal Fasciculus-Arcuate (mean FA 0.329 vs. LP 0.306, <i>p</i> = 0.033) and Right Superior Longitudinal Fasciculus-Arcuate (mean FA 0.329 vs. LP 0.306, <i>p</i> = 0.009), Left Inferior Fronto-Occipital Fasciculus (mean FA 0.308 vs. LP 0.283, <i>p</i> = 0.021), and Right Inferior Fronto-Occipital Fasciculus (mean FA 0.289 vs. LP 0.266, <i>p</i> = 0.017) compared to the LP group. <b>Conclusions:</b> Our findings reveal significant FA alterations across MoCA-defined cognitive groups, with moderate impairment showing higher FA than low performance. This suggests FA may reflect complex microstructural changes in early cognitive decline. While our modest sample size, particularly in the low-performance group, limits definitive conclusions, these results highlight the need for larger, multimodal studies to validate FA's role as a sensitive, albeit complex, biomarker for cognitive impairment.

Neurology InternationalVol. 17(10)
Riga East University Hospital (LV), Riga Stradiņš University (LV)
Openalex Percentile: Top 61%
Advanced Neuroimaging Techniques and Applications
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