Monoaminergic network abnormalities are associated with fatigue in pediatric multiple sclerosis

Oliva Ramirez A, Keenan A, Kalau O, Worthington E, Cohen L, Singh S (2021) Prevalence and burden of multiple sclerosis-related fatigue: a systematic literature review. BMC Neurol 21:468

Article  PubMed  PubMed Central  Google Scholar 

Rocca MA, Amato MP, De Stefano N et al (2015) Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurol 14:302–317

Article  PubMed  Google Scholar 

Marchesi O, Vizzino C, Filippi M, Rocca MA (2022) Current perspectives on the diagnosis and management of fatigue in multiple sclerosis. Expert Rev Neurother 22:681–693

Article  CAS  PubMed  Google Scholar 

Carroll S, Chalder T, Hemingway C, Heyman I, Moss-Morris R (2016) Understanding fatigue in paediatric multiple sclerosis: a systematic review of clinical and psychosocial factors. Dev Med Child Neurol 58:229–239

Article  PubMed  Google Scholar 

Bertoli M, Tecchio F (2020) Fatigue in multiple sclerosis: does the functional or structural damage prevail? Mult Scler 26:1809–1815

Article  PubMed  Google Scholar 

Rocca MA, Parisi L, Pagani E et al (2014) Regional but not global brain damage contributes to fatigue in multiple sclerosis. Radiology 273:511–520

Article  PubMed  Google Scholar 

Palotai M, Guttmann CR (2020) Brain anatomical correlates of fatigue in multiple sclerosis. Mult Scler 26:751–764

Article  PubMed  Google Scholar 

Albergoni M, Pagani E, Preziosa P et al (2024) Thalamic nuclei volume partially mediates the effects of aerobic capacity on fatigue in people with multiple sclerosis. J Neurol 271:3378–3388

Article  PubMed  Google Scholar 

White AT, Lee JN, Light AR, Light KC (2009) Brain activation in multiple sclerosis: a BOLD fMRI study of the effects of fatiguing hand exercise. Mult Scler 15:580–586

Article  CAS  PubMed  Google Scholar 

Filippi M, Rocca MA, Colombo B et al (2002) Functional magnetic resonance imaging correlates of fatigue in multiple sclerosis. Neuroimage 15:559–567

Article  CAS  PubMed  Google Scholar 

Hidalgo de la Cruz M, d’Ambrosio A, Valsasina P et al (2018) Abnormal functional connectivity of thalamic sub-regions contributes to fatigue in multiple sclerosis. Mult Scler 24:1183–1195

Article  PubMed  Google Scholar 

Engstrom M, Flensner G, Landtblom AM, Ek AC, Karlsson T (2013) Thalamo-striato-cortical determinants to fatigue in multiple sclerosis. Brain Behav 3:715–728

Article  PubMed  PubMed Central  Google Scholar 

DeLuca J, Genova HM, Hillary FG, Wylie G (2008) Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI. J Neurol Sci 270:28–39

Article  PubMed  Google Scholar 

Genova HM, Rajagopalan V, Deluca J et al (2013) Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging. PLoS ONE 8:e78811

Article  CAS  PubMed  PubMed Central  Google Scholar 

Cercignani M, Dipasquale O, Bogdan I et al (2021) Cognitive fatigue in multiple sclerosis is associated with alterations in the functional connectivity of monoamine circuits. Brain Commun 3:fcab023

Article  PubMed  PubMed Central  Google Scholar 

Carandini T, Cercignani M, Galimberti D, Scarpini E, Bozzali M (2021) The distinct roles of monoamines in multiple sclerosis: a bridge between the immune and nervous systems? Brain Behav Immun 94:381–391

Article  CAS  PubMed  Google Scholar 

Carotenuto A, Valsasina P, Preziosa P, Mistri D, Filippi M, Rocca MA (2023) Monoaminergic network abnormalities: a marker for multiple sclerosis-related fatigue and depression. J Neurol Neurosurg Psychiatry 94:94–101

Article  PubMed  Google Scholar 

Rocca MA, Valsasina P, Lamanna MT, Colombo B, Martinelli V, Filippi M (2023) Functional connectivity modifications in monoaminergic circuits occur in fatigued MS patients treated with fampridine and amantadine. J Neurol 270:4697–4706

Article  CAS  PubMed  Google Scholar 

Fiore A, Preziosa P, Tedone N et al (2023) Correspondence among gray matter atrophy and atlas-based neurotransmitter maps is clinically relevant in multiple sclerosis. Mol Psychiatry

Margoni M, Preziosa P, Rocca MA, Filippi M (2022) Pediatric multiple sclerosis: developments in timely diagnosis and prognostication. Expert Rev Neurother 22:393–403

Article  CAS  PubMed  Google Scholar 

Preziosa P, Pagani E, Meani A et al (2024) Chronic active lesions and larger choroid plexus explain cognition and fatigue in multiple sclerosis. Neurol Neuroimmunol Neuroinflamm 11:e200205

Article  PubMed  PubMed Central  Google Scholar 

Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17:162–173

Article  PubMed  Google Scholar 

Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD (1989) The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol 46:1121–1123

Article  CAS  PubMed  Google Scholar 

Patenaude B, Smith SM, Kennedy DN, Jenkinson M (2011) A Bayesian model of shape and appearance for subcortical brain segmentation. Neuroimage 56:907–922

Article  PubMed  Google Scholar 

Pitzer M (2019) The development of monoaminergic neurotransmitter systems in childhood and adolescence. Int J Dev Neurosci 74:49–55

Article  CAS  PubMed  Google Scholar 

Gómez FJG, Huertas I, Ramírez JAL, Solís DG (2018) Elaboración de una plantilla de SPM para la normalización de imágenes de PET con 18F-DOPA. Imagen Diagnóstica 9:23–25

Google Scholar 

Hesse S, Moeller F, Petroff D et al (2014) Altered serotonin transporter availability in patients with multiple sclerosis. Eur J Nucl Med Mol Imaging 41:827–835

Article  CAS  PubMed  Google Scholar 

Schmidt E, Schinke C, Rullmann M et al (2020) Changes of central noradrenaline transporter availability in immunotherapy-naive multiple sclerosis patients. Sci Rep 10:14651

Article  CAS  PubMed  PubMed Central  Google Scholar 

Goretti B, Portaccio E, Ghezzi A et al (2012) Fatigue and its relationships with cognitive functioning and depression in paediatric multiple sclerosis. Mult Scler 18:329–334

Article  CAS  PubMed  Google Scholar 

Margoni M, Valsasina P, Bacchetti A et al (2024) Resting state functional connectivity modifications in monoaminergic circuits underpin fatigue development in patients with multiple sclerosis. Mol Psychiatry

Rocca MA, Agosta F, Colombo B et al (2007) fMRI changes in relapsing-remitting multiple sclerosis patients complaining of fatigue after IFNbeta-1a injection. Hum Brain Mapp 28:373–382

Article  PubMed  Google Scholar 

Jaeger S, Paul F, Scheel M et al (2019) Multiple sclerosis-related fatigue: Altered resting-state functional connectivity of the ventral striatum and dorsolateral prefrontal cortex. Mult Scler 25:554–564

Article  PubMed  Google Scholar 

Chen MH, DeLuca J, Genova HM, Yao B, Wylie GR (2020) Cognitive fatigue is associated with altered functional connectivity in interoceptive and reward pathways in multiple sclerosis. Diagnostics (Basel) 10

Kok A (2022) Cognitive control, motivation and fatigue: a cognitive neuroscience perspective. Brain Cogn 160:105880

Article  PubMed  Google Scholar 

Muller T, Apps MAJ (2019) Motivational fatigue: a neurocognitive framework for the impact of effortful exertion on subsequent motivation. Neuropsychologia 123:141–151

Article  PubMed  Google Scholar 

Manjaly ZM, Harrison NA, Critchley HD et al (2019) Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis. J Neurol Neurosurg Psychiatry 90:642–651

Article 

留言 (0)

沒有登入
gif