» Articles » PMID: 37532802

Multiple Sclerosis Lesions That Impair Memory Map to a Connected Memory Circuit

Abstract

Background: Nearly 1 million Americans are living with multiple sclerosis (MS) and 30-50% will experience memory dysfunction. It remains unclear whether this memory dysfunction is due to overall white matter lesion burden or damage to specific neuroanatomical structures. Here we test if MS memory dysfunction is associated with white matter lesions to a specific brain circuit.

Methods: We performed a cross-sectional analysis of standard structural images and verbal memory scores as assessed by immediate recall trials from 431 patients with MS (mean age 49.2 years, 71.9% female) enrolled at a large, academic referral center. White matter lesion locations from each patient were mapped using a validated algorithm. First, we tested for associations between memory dysfunction and total MS lesion volume. Second, we tested for associations between memory dysfunction and lesion intersection with an a priori memory circuit derived from stroke lesions. Third, we performed mediation analyses to determine which variable was most associated with memory dysfunction. Finally, we performed a data-driven analysis to derive de-novo brain circuits for MS memory dysfunction using both functional (n = 1000) and structural (n = 178) connectomes.

Results: Both total lesion volume (r = 0.31, p < 0.001) and lesion damage to our a priori memory circuit (r = 0.34, p < 0.001) were associated with memory dysfunction. However, lesion damage to the memory circuit fully mediated the association of lesion volume with memory performance. Our data-driven analysis identified multiple connections associated with memory dysfunction, including peaks in the hippocampus (T = 6.05, family-wise error p = 0.000008), parahippocampus, fornix and cingulate. Finally, the overall topography of our data-driven MS memory circuit matched our a priori stroke-derived memory circuit.

Conclusions: Lesion locations associated with memory dysfunction in MS map onto a specific brain circuit centered on the hippocampus. Lesion damage to this circuit fully mediated associations between lesion volume and memory. A circuit-based approach to mapping MS symptoms based on lesions visible on standard structural imaging may prove useful for localization and prognosis of higher order deficits in MS.

Citing Articles

Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment.

Petersen M, Coenen M, DeCarli C, De Luca A, van der Lelij E, Barkhof F Brain. 2024; 147(12):4265-4279.

PMID: 39400198 PMC: 11629703. DOI: 10.1093/brain/awae315.


Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.

Jellinger K J Neural Transm (Vienna). 2024; 131(8):871-899.

PMID: 38761183 DOI: 10.1007/s00702-024-02786-y.


Enhancing Cognitive Performance Prediction through White Matter Hyperintensity Connectivity Assessment: A Multicenter Lesion Network Mapping Analysis of 3,485 Memory Clinic Patients.

Petersen M, Coenen M, DeCarli C, De Luca A, van der Lelij E, Barkhof F medRxiv. 2024; .

PMID: 38586023 PMC: 10996741. DOI: 10.1101/2024.03.28.24305007.


A neural circuit for spatial orientation derived from brain lesions.

Roseman M, Elias U, Kletenik I, Ferguson M, Fox M, Horowitz Z Cereb Cortex. 2023; 34(1).

PMID: 38100330 PMC: 10793567. DOI: 10.1093/cercor/bhad486.

References
1.
Lopez-Gongora M, Querol L, Escartin A . A one-year follow-up study of the Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test (PASAT) in relapsing-remitting multiple sclerosis: an appraisal of comparative longitudinal sensitivity. BMC Neurol. 2015; 15:40. PMC: 4373090. DOI: 10.1186/s12883-015-0296-2. View

2.
Langdon D, Amato M, Boringa J, Brochet B, Foley F, Fredrikson S . Recommendations for a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS). Mult Scler. 2011; 18(6):891-8. PMC: 3546642. DOI: 10.1177/1352458511431076. View

3.
Cohen A, Mulder B, Prohl A, Soussand L, Davis P, Kroeck M . Tuber Locations Associated with Infantile Spasms Map to a Common Brain Network. Ann Neurol. 2021; 89(4):726-739. PMC: 7969435. DOI: 10.1002/ana.26015. View

4.
Albert M, Moss M, Tanzi R, Jones K . Preclinical prediction of AD using neuropsychological tests. J Int Neuropsychol Soc. 2001; 7(5):631-9. DOI: 10.1017/s1355617701755105. View

5.
McGinley M, Goldschmidt C, Rae-Grant A . Diagnosis and Treatment of Multiple Sclerosis: A Review. JAMA. 2021; 325(8):765-779. DOI: 10.1001/jama.2020.26858. View