Assessment of spontaneous brain activity patterns in patients with iridocyclitis: a resting-state study.
Journal
Neuroreport
ISSN: 1473-558X
Titre abrégé: Neuroreport
Pays: England
ID NLM: 9100935
Informations de publication
Date de publication:
05 05 2021
05 05 2021
Historique:
pubmed:
1
4
2021
medline:
29
1
2022
entrez:
31
3
2021
Statut:
ppublish
Résumé
Several studies demonstrated that patients with iridocyclitis were associated with vision loss and cognitive decline, whereas alterations in spontaneous brain activity occur in iridocyclitis patients remains unknown. The study aimed to explore spontaneous brain activity changes in iridocyclitis patients. Twenty-six patients with iridocyclitis and 26 healthy controls were finally included in our study. Resting-state MRI (rs-MRI) scan was conducted on both groups and the whole brain amplitude of low-frequency fluctuations (ALFFs) value was collected to assess differences in spontaneous brain activity. A receiver operating characteristic (ROC) curve was analyzed to distinguish between the fMRI data of patients with iridocyclitis and healthy controls. Patients with iridocyclitis showed significantly lower ALFF values in the right inferior parietal lobule, right calcarine, right superior temporal gyrus and right precentral gyrus compared to healthy controls and significantly higher ALFF values in the left superior frontal gyrus (P < 0.01, false discovery rate correction). The ROC curve analysis of different brain areas showed that the accuracies of ALFF value specificity between the iridocyclitis and healthy controls of the area under the curve were over 0.8. Our study highlighted an altered spontaneous activity in multiple brain regions, including the visual cortex, default-mode network, auditory area and sensorimotor areas in iridocyclitis. This may provide valuable information about underlying pathogenic mechanisms of iridocyclitis. These findings also indicate that rs-fMRI serves as a potential tool in the disease detection and evaluation of neurologic impairment in iridocyclitis.
Identifiants
pubmed: 33789337
doi: 10.1097/WNR.0000000000001631
pii: 00001756-202105010-00012
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
612-620Informations de copyright
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.
Références
Standardization of Uveitis Nomenclature for Reporting Clinical Data. Results of the First International Workshop. Am J Ophthalmol. 2005; 140:509–516.
Al-Ani HH, Sims JL, Tomkins-Netzer O, Lightman S, Niederer RL. Vision loss in anterior uveitis. Br J Ophthalmol. 2020; 104:1652–1657.
Tomkins-Netzer O, Talat L, Bar A, Lula A, Taylor SR, Joshi L, Lightman S. Long-term clinical outcome and causes of vision loss in patients with uveitis. Ophthalmology. 2014; 121:2387–2392.
Acharya NR, Tham VM, Esterberg E, Borkar DS, Parker JV, Vinoya AC, Uchida A. Incidence and prevalence of uveitis: results from the Pacific Ocular Inflammation Study. JAMA Ophthalmol. 2013; 131:1405–1412.
Forrester JV, Kuffova L, Dick AD. Autoimmunity, autoinflammation, and infection in uveitis. Am J Ophthalmol. 2018; 189:77–85.
Monnet D, Breban M, Hudry C, Dougados M, Brézin AP. Ophthalmic findings and frequency of extraocular manifestations in patients with HLA-B27 uveitis: a study of 175 cases. Ophthalmology. 2004; 111:802–809.
Pathanapitoon K, Dodds EM, Cunningham ET Jr, Rothova A. Clinical spectrum of HLA-B27-associated ocular inflammation. Ocul Immunol Inflamm. 2017; 25:569–576.
Chang JH, McCluskey PJ, Wakefield D. Acute anterior uveitis and HLA-B27. Surv Ophthalmol. 2005; 50:364–388.
Loh AR, Acharya NR. Incidence rates and risk factors for ocular complications and vision loss in HLA-B27-associated uveitis. Am J Ophthalmol. 2010; 150:534–542.e2.
Bellocq D, Maucort-Boulch D, Kodjikian L, Denis P. Correlation in retinal nerve fibre layer thickness in uveitis and healthy eyes using scanning laser polarimetry and optical coherence tomography. Br J Ophthalmol. 2017; 101:309–315.
Asrani S, Moore DB, Jaffe GJ. Paradoxical changes of retinal nerve fiber layer thickness in uveitic glaucoma. JAMA Ophthalmol. 2014; 132:877–880.
Balaskas K, Ballabeni P, Guex-Crosier Y. Retinal thickening in HLA-B27-associated acute anterior uveitis: evolution with time and association with severity of inflammatory activity. Invest Opthalmol Vis Sci. 2012; 53:6171–6177.
van der Veer EG, Keunen JE, Rothova A. Severe HLA B27-associated uveitis complicated by hypotony, serous retinal detachment, and ciliochoroidal effusion. Ocul Immunol Inflamm. 2014; 22:23–26.
Maca SM, Schiesser AW, Sobala A, Gruber K, Pakesch G, Prause C, Barisani-Asenbauer T. Distress, depression and coping in HLA-B27-associated anterior uveitis with focus on gender differences. Br J Ophthalmol. 2011; 95:699–704.
Franke GH, Schütte E, Heiligenhaus A. Psychosomatik der Uveitis – eine Pilotstudie. Psychother Psychosom Med Psychol. 2005; 55:65–71.
Scott IU. Visual functioning and general health status in patients with uveitis. Evidence-Based Eye Care. 2002; 3:92–93.
Li C, Wei X, Zou Q, Zhang Y, Yin X, Zhao J, Wang J. Cerebral functional deficits in patients with ankylosing spondylitis – an fMRI study. Brain Imaging Behav. 2017; 11:936–942.
Wise RG, Ide K, Poulin MJ, Tracey I. Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal. Neuroimage. 2004; 21:1652–1664.
Yang H, Long XY, Yang Y, Yan H, Zhu CZ, Zhou XP, et al. Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. Neuroimage. 2007; 36:144–152.
Wang YF, Dai GS, Liu F, Long ZL, Yan JH, Chen HF. Steady-state BOLD response to higher-order cognition modulates low-frequency neural oscillations. J Cogn Neurosci. 2015; 27:2406–2415.
Goodyear BG, Menon RS. Brief visual stimulation allows mapping of ocular dominance in visual cortex using fMRI. Hum Brain Mapp. 2001; 14:210–217.
Mantini D, Perrucci MG, Del Gratta C, Romani GL, Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA. 2007; 104:13170–13175.
Liang M, Xie B, Yang H, Yin X, Wang H, Yu L, et al. Altered interhemispheric functional connectivity in patients with anisometropic and strabismic amblyopia: a resting-state fMRI study. Neuroradiology. 2017; 59:517–524.
Conner IP, Odom JV, Schwartz TL, Mendola JD. Monocular activation of V1 and V2 in amblyopic adults measured with functional magnetic resonance imaging. J AAPOS. 2007; 11:341–350.
Zhang Y, Zhu C, Chen H, Duan X, Lu F, Li M, et al. Frequency-dependent alterations in the amplitude of low-frequency fluctuations in social anxiety disorder. J Affect Disord. 2015; 174:329–335.
Li T, Liu Z, Li J, Liu Z, Tang Z, Xie X, et al. Altered amplitude of low-frequency fluctuation in primary open-angle glaucoma: a resting-state FMRI study. Invest Ophthalmol Vis Sci. 2014; 56:322–329.
Korsholm K, Madsen KH, Frederiksen JL, Skimminge A, Lund TE. Recovery from optic neuritis: an ROI-based analysis of LGN and visual cortical areas. Brain. 2007; 130:1244–1253.
Tang A, Chen T, Zhang J, Gong Q, Liu L. Abnormal spontaneous brain activity in patients with anisometropic amblyopia using resting-state functional magnetic resonance imaging. J Pediatr Ophthalmol Strabismus. 2017; 54:303–310.
Wen Z, Zhou FQ, Huang X, Dan HD, Xie BJ, Shen Y. Altered functional connectivity of primary visual cortex in late blindness. Neuropsychiatr Dis Treat. 2018; 14:3317–3327.
Yan CG, Wang XD, Zuo XN, Zang YF. DPABI: data processing & analysis for (resting-state) brain imaging. Neuroinformatics. 2016; 14:339–351.
Yan R, Tao S, Liu H, Chen Y, Shi J, Yang Y, et al. Abnormal alterations of regional spontaneous neuronal activity in inferior frontal orbital gyrus and corresponding brain circuit alterations: a resting-state fMRI study in somatic depression. Front Psychiatry. 2019; 10:267.
Chen K, Lin X, Ding K, Liu Y, Yan X, Song S, Jiang T. Altered spontaneous activity in anisometropic amblyopia subjects: revealed by resting-state fMRI. PLoS ONE. 2012; 7:e43373.
Fogassi L, Ferrari PF, Gesierich B, Rozzi S, Chersi F, Rizzolatti G. Parietal lobe: from action organization to intention understanding. Science. 2005; 308:662–667.
Catani M, Jones DK, ffytche DH. Perisylvian language networks of the human brain. Ann Neurol. 2005; 57:8–16.
Shum M, Shiller DM, Baum SR, Gracco VL. Sensorimotor integration for speech motor learning involves the inferior parietal cortex. Eur J Neurosci. 2011; 34:1817–1822.
Sestieri C, Corbetta M, Romani GL, Shulman GL. Episodic memory retrieval, parietal cortex, and the default mode network: functional and topographic analyses. J Neurosci. 2011; 31:4407–4420.
Wu SS, Chang TT, Majid A, Caspers S, Eickhoff SB, Menon V. Functional heterogeneity of inferior parietal cortex during mathematical cognition assessed with cytoarchitectonic probability maps. Cereb Cortex. 2009; 19:2930–2945.
Chou TL, Chen CW, Wu MY, Booth JR. The role of inferior frontal gyrus and inferior parietal lobule in semantic processing of Chinese characters. Exp Brain Res. 2009; 198:465–475.
Torrey EF. Schizophrenia and the inferior parietal lobule. Schizophr Res. 2007; 97:215–225.
Reed TT, Pierce WM Jr, Turner DM, Markesbery WR, Butterfield DA. Proteomic identification of nitrated brain proteins in early Alzheimer’s disease inferior parietal lobule. J Cell Mol Med. 2009; 13:2019–2029.
Venkatasubramanian G, Jayakumar PN, Keshavan MS, Gangadhar BN. Schneiderian first rank symptoms and inferior parietal lobule cortical thickness in antipsychotic-naïve schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry. 2011; 35:40–46.
Crottaz-Herbette S, Fornari E, Clarke S. Prismatic adaptation changes visuospatial representation in the inferior parietal lobule. J Neurosci. 2014; 34:11803–11811.
Sliwinska MW, James A, Devlin JT. Inferior parietal lobule contributions to visual word recognition. J Cogn Neurosci. 2015; 27:593–604.
Backus BT, Fleet DJ, Parker AJ, Heeger DJ. Human cortical activity correlates with stereoscopic depth perception. J Neurophysiol. 2001; 86:2054–2068.
Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA. 2005; 102:9673–9678.
Traill A, Stawell R, Hall A, Zamir E. Macular thickening in acute anterior uveitis. Ophthalmology. 2007; 114:402.
Ducos de Lahitte G, Terrada C, Tran TH, Cassoux N, LeHoang P, Kodjikian L, Bodaghi B. Maculopathy in uveitis of juvenile idiopathic arthritis: an optical coherence tomography study. Br J Ophthalmol. 2008; 92:64–69.
Kasper M, Walscheid K, Laffer B, Bauer D, Busch M, Wildschütz L, et al. The phenotype of monocytes in anterior uveitis depends on the HLA-B27 status. Front Immunol. 2018; 9:1773.
Iftikhar M, Mir TA, Hafiz G, Zimmer-Galler I, Scott AW, Solomon SD, et al. Loss of peak vision in retinal vein occlusion patients treated for macular edema. Am J Ophthalmol. 2019; 205:17–26.
Iijima H. Mechanisms of vision loss in eyes with macular edema associated with retinal vein occlusion. Jpn J Ophthalmol. 2018; 62:265–273.
Muñoz-López M, Insausti R, Mohedano-Moriano A, Mishkin M, Saunders RC. Anatomical pathways for auditory memory II: information from rostral superior temporal gyrus to dorsolateral temporal pole and medial temporal cortex. Front Neurosci. 2015; 9:158.
Howard MA, Volkov IO, Mirsky R, Garell PC, Noh MD, Granner M, et al. Auditory cortex on the human posterior superior temporal gyrus. J Comp Neurol. 2000; 416:79–92.
Beauchamp MS, Lee KE, Argall BD, Martin A. Integration of auditory and visual information about objects in superior temporal sulcus. Neuron. 2004; 41:809–823.
Gharabaghi A, Fruhmann Berger M, Tatagiba M, Karnath HO. The role of the right superior temporal gyrus in visual search-insights from intraoperative electrical stimulation. Neuropsychologia. 2006; 44:2578–2581.
Guigon E, Baraduc P, Desmurget M. Coding of movement- and force-related information in primate primary motor cortex: a computational approach. Eur J Neurosci. 2007; 26:250–260.
Kim JA, Eliassen JC, Sanes JN. Movement quantity and frequency coding in human motor areas. J Neurophysiol. 2005; 94:2504–2511.
Daly CJ, Kelley GT, Krauss A. Relationship between visual-motor integration and handwriting skills of children in kindergarten: a modified replication study. Am J Occup Ther. 2003; 57:459–462.
Pelz J, Hayhoe M, Loeber R. The coordination of eye, head, and hand movements in a natural task. Exp Brain Res. 2001; 139:266–277.
Kruse W, Dannenberg S, Kleiser R, Hoffmann KP. Temporal relation of population activity in visual areas MT/MST and in primary motor cortex during visually guided tracking movements. Cereb Cortex. 2002; 12:466–476.
Mahayana IT, Tcheang L, Chen CY, Juan CH, Muggleton NG. The precuneus and visuospatial attention in near and far space: a transcranial magnetic stimulation study. Brain Stimul. 2014; 7:673–679.
Goldberg II, Harel M, Malach R. When the brain loses its self: prefrontal inactivation during sensorimotor processing. Neuron. 2006; 50:329–339.
Leavitt ML, Pieper F, Sachs AJ, Martinez-Trujillo JC. A quadrantic bias in prefrontal representation of visual-mnemonic space. Cereb Cortex. 2018; 28:2405–2421.
Schall JD, Morel A, King DJ, Bullier J. Topography of visual cortex connections with frontal eye field in macaque: convergence and segregation of processing streams. J Neurosci. 1995; 15:4464–4487.
Croizé AC, Ragot R, Garnero L, Ducorps A, Pélégrini-Issac M, Dauchot K, et al. Dynamics of parietofrontal networks underlying visuospatial short-term memory encoding. Neuroimage. 2004; 23:787–799.