Literature DB >> 28232497

Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis.

E Fujiwara1, J A Kmech1, D Cobzas2, H Sun3, P Seres3, G Blevins4,5, A H Wilman6.   

Abstract

BACKGROUND AND
PURPOSE: Deep gray matter iron accumulation is increasingly recognized in association with multiple sclerosis and can be measured in vivo with MR imaging. The cognitive implications of this pathology are not well-understood, especially vis-à-vis deep gray matter atrophy. Our aim was to investigate the relationships between cognition and deep gray matter iron in MS by using 2 MR imaging-based iron-susceptibility measures.
MATERIALS AND METHODS: Forty patients with multiple sclerosis (relapsing-remitting, n = 16; progressive, n = 24) and 27 healthy controls were imaged at 4.7T by using the transverse relaxation rate and quantitative susceptibility mapping. The transverse relaxation rate and quantitative susceptibility mapping values and volumes (atrophy) of the caudate, putamen, globus pallidus, and thalamus were determined by multiatlas segmentation. Cognition was assessed with the Brief Repeatable Battery of Neuropsychological Tests. Relationships between cognition and deep gray matter iron were examined by hierarchic regressions.
RESULTS: Compared with controls, patients showed reduced memory (P < .001) and processing speed (P = .02) and smaller putamen (P < .001), globus pallidus (P = .002), and thalamic volumes (P < .001). Quantitative susceptibility mapping values were increased in patients compared with controls in the putamen (P = .003) and globus pallidus (P = .003). In patients only, thalamus (P < .001) and putamen (P = .04) volumes were related to cognitive performance. After we controlled for volume effects, quantitative susceptibility mapping values in the globus pallidus (P = .03; trend for transverse relaxation rate, P = .10) were still related to cognition.
CONCLUSIONS: Quantitative susceptibility mapping was more sensitive compared with the transverse relaxation rate in detecting deep gray matter iron accumulation in the current multiple sclerosis cohort. Atrophy and iron accumulation in deep gray matter both have negative but separable relationships to cognition in multiple sclerosis.
© 2017 by American Journal of Neuroradiology.

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Year:  2017        PMID: 28232497     DOI: 10.3174/ajnr.A5109

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  10 in total

Review 1.  The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials.

Authors:  Kedar R Mahajan; Daniel Ontaneda
Journal:  Neurotherapeutics       Date:  2017-10       Impact factor: 7.620

2.  Thalamic white matter in multiple sclerosis: A combined diffusion-tensor imaging and quantitative susceptibility mapping study.

Authors:  Niels Bergsland; Ferdinand Schweser; Michael G Dwyer; Bianca Weinstock-Guttman; Ralph H B Benedict; Robert Zivadinov
Journal:  Hum Brain Mapp       Date:  2018-06-19       Impact factor: 5.038

3.  Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality.

Authors:  Ferdinand Schweser; Ana Luiza Raffaini Duarte Martins; Jesper Hagemeier; Fuchun Lin; Jannis Hanspach; Bianca Weinstock-Guttman; Simon Hametner; Niels Bergsland; Michael G Dwyer; Robert Zivadinov
Journal:  Neuroimage       Date:  2017-10-31       Impact factor: 6.556

4.  Assessment of mesoscopic properties of deep gray matter iron through a model-based simultaneous analysis of magnetic susceptibility and R2* - A pilot study in patients with multiple sclerosis and normal controls.

Authors:  Yanis Taege; Jesper Hagemeier; Niels Bergsland; Michael G Dwyer; Bianca Weinstock-Guttman; Robert Zivadinov; Ferdinand Schweser
Journal:  Neuroimage       Date:  2018-11-14       Impact factor: 6.556

Review 5.  Cerebral Iron Deposition in Neurodegeneration.

Authors:  Petr Dusek; Tim Hofer; Jan Alexander; Per M Roos; Jan O Aaseth
Journal:  Biomolecules       Date:  2022-05-17

6.  Iron Overload Impairs Autophagy: Effects of Rapamycin in Ameliorating Iron-Related Memory Deficits.

Authors:  Vanise Hallas Uberti; Betânia Souza de Freitas; Patrícia Molz; Elke Bromberg; Nadja Schröder
Journal:  Mol Neurobiol       Date:  2019-10-29       Impact factor: 5.590

7.  Unraveling Deep Gray Matter Atrophy and Iron and Myelin Changes in Multiple Sclerosis.

Authors:  G Pontillo; M Petracca; S Monti; M Quarantelli; C Criscuolo; R Lanzillo; E Tedeschi; A Elefante; V Brescia Morra; A Brunetti; S Cocozza; G Palma
Journal:  AJNR Am J Neuroradiol       Date:  2021-04-22       Impact factor: 4.966

8.  Occulomotor Neural Integrator Dysfunction in Multiple Sclerosis: Insights From Neuroimaging.

Authors:  Peter Bede; Eoin Finegan; Rangariroyashe H Chipika; Stacey Li Hi Shing; Jeffrey Lambe; James Meaney; Janice Redmond
Journal:  Front Neurol       Date:  2018-08-23       Impact factor: 4.003

9.  The impact of brain iron accumulation on cognition: A systematic review.

Authors:  Holly Spence; Chris J McNeil; Gordon D Waiter
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

Review 10.  Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis.

Authors:  Maria Petracca; Giuseppe Pontillo; Marcello Moccia; Antonio Carotenuto; Sirio Cocozza; Roberta Lanzillo; Arturo Brunetti; Vincenzo Brescia Morra
Journal:  Brain Sci       Date:  2021-03-09
  10 in total

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