nach oben

Erschienen in:

05.01.2023 | Original Paper

Changes in Resting-State Neural Activity and Nerve Fibres in Ischaemic Stroke Patients with Hemiplegia

verfasst von: Xuejin Cao, Zan Wang, Xiaohui Chen, Yanli Liu, Idriss Ali Abdoulaye, Shenghong Ju, Shiyao Zhang, Shanshan Wu, Yuancheng Wang, Yijing Guo

Erschienen in: Brain Topography | Ausgabe 2/2023

Einloggen, um Zugang zu erhalten

Abstract

Many neuroimaging studies have reported that stroke induces abnormal brain activity. However, little is known about resting-state networks (RSNs) and the corresponding white matter changes in stroke patients with hemiplegia. Here, we utilized functional magnetic resonance imaging (fMRI) to measure neural activity and related fibre tracts in 14 ischaemic stroke patients with hemiplegia and 12 healthy controls. Fractional amplitude of low-frequency fluctuations (fALFF) calculation and correlation analyses were used to assess the relationship between regional neural activity and movement scores. Tractography was performed using diffusion tensor imaging (DTI) data to analyse the fibres passing through the regions of interest. Compared with controls, stroke patients showed abnormal functional connectivity (FC) between some brain regions in the RSNs. The fALFF was increased in the contralesional parietal lobe, with the regional fALFF being correlated with behavioural scores in stroke patients. Additionally, the passage of fibres across regions with reduced FC in the RSNs was increased in stroke patients. This study suggests that structural remodelling of functionally relevant white matter tracts is probably an adaptive response that compensates for injury to the brain.

Nur mit Berechtigung zugänglich

Allegra Mascaro AL, Conti E, Lai S, Di Giovanna AP, Spalletti C, Alia C et al (2019) Combined rehabilitation promotes the recovery of structural and functional features of healthy neuronal networks after stroke. Cell Rep 28(13):3474-3485.e6. https://doi.org/10.1016/j.celrep.2019.08.062CrossRefPubMed

Baldassarre A, Ramsey L, Rengachary J, Zinn K, Siegel JS, Metcalf NV et al (2016a) Dissociated functional connectivity profiles for motor and attention deficits in acute right-hemisphere stroke. Brain 139:2024–2038. https://doi.org/10.1093/brain/aww107CrossRefPubMedPubMedCentral

Baldassarre A, Ramsey LE, Siegel JS, Shulman GL, Corbetta M (2016b) Brain connectivity and neurological disorders after stroke. Curr Opin Neurol 29(6):706–713. https://doi.org/10.1097/WCO.0000000000000396CrossRefPubMedPubMedCentral

Bell AJ, Sejnowski TJ (1995) An information-maximization approach to blind separation and blind deconvolution. Neural Comput 7(6):1129–1159. https://doi.org/10.1162/neco.1995.7.6.1129CrossRefPubMed

Bi XA, Sun Q, Zhao JX, Xu Q, Wang LQ (2018) Non-linear ICA analysis of resting-state fmri in mild cognitive impairment. Front Neurosci. https://doi.org/10.3389/fnins.2018.00413CrossRefPubMedPubMedCentral

Boehm I, Geisler D, King JA, Ritschel F, Seidel M, Araujo YD et al (2014) Increased resting state functional connectivity in the fronto-parietal and default mode network in anorexia nervosa. Front Behav Neurosci. https://doi.org/10.3389/fnbeh.2014.00346CrossRefPubMedPubMedCentral

Buckner RL, Andrews-Hanna JR, Schacter DL (2008) The brain’s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci 1124:1–38. https://doi.org/10.1196/annals.1440.011CrossRefPubMed

Bundy DT, Souders L, Baranyai K, Leonard L, Schalk G, Coker R, Moran DW, Huskey T, Leuthardt EC (2017) Contralesional brain-computer interface control of a powered exoskeleton for motor recovery in chronic stroke survivors. Stroke 48(7):1908–1915. https://doi.org/10.1161/STROKEAHA.116.016304CrossRefPubMedPubMedCentral

Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001) A method for making group inferences from functional MRI data using independent component analysis. Hum Brain Mapp 14(3):140–151. https://doi.org/10.1002/hbm.1048CrossRefPubMedPubMedCentral

Carmichael ST (2003) Plasticity of cortical projections after stroke. Neuroscientist 9(1):64–75. https://doi.org/10.1177/1073858402239592CrossRefPubMed

Carone D, Licenik R, Suri S, Griffanti L, Filippini N, Kennedy J (2017) Impact of automated ICA-based denoising of fMRI data in acute stroke patients. NeuroImage Clin 16:23–31. https://doi.org/10.1016/j.nicl.2017.06.033CrossRefPubMedPubMedCentral

Carter AR, Astafiev SV, Lang CE, Connor LT, Rengachary J, Strube MJ et al (2010) Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann Neurol 67(3):365–375. https://doi.org/10.1002/ana.21905CrossRefPubMedPubMedCentral

Cheng B, Schlemm E, Schulz R, Boenstrup M, Messé A, Hilgetag C et al (2019) Altered topology of large-scale structural brain networks in chronic stroke. Brain Commun 1(1):fcz020. https://doi.org/10.1093/braincomms/fcz020CrossRefPubMedPubMedCentral

Cui ZX, Zhong SY, Xu PF, He Y, Gong GL (2013) PANDA: a pipeline toolbox for analyzing brain diffusion images. Front Hum Neurosci. https://doi.org/10.3389/fnhum.2013.00042CrossRefPubMedPubMedCentral

Dominguez DJF, Nott Z, Horne K, Prangley T, Adams AG, Henry JD, Molenberghs P (2019) Structural and functional brain correlates of theory of mind impairment post-stroke. Cortex 121:427–442. https://doi.org/10.1016/j.cortex.2019.09.017CrossRef

Duering M, Righart R, Wollenweber FA, Zietemann V, Gesierich B, Dichgans M (2015) Acute infarcts cause focal thinning in remote cortex via degeneration of connecting fiber tracts. Neurology 84(16):1685–1692. https://doi.org/10.1212/WNL.0000000000001502CrossRefPubMedPubMedCentral

Fan F, Zhu C, Chen H, Qin W, Ji X, Wang L et al (2013) Dynamic brain structural changes after left hemisphere subcortical stroke. Hum Brain Mapp 34(8):1872–1881. https://doi.org/10.1002/hbm.22034CrossRefPubMed

Feng W, Wang J, Chhatbar PY, Doughty C, Landsittel D, Lioutas VA et al (2015) Corticospinal tract lesion load: an imaging biomarker for stroke motor outcomes. Ann Neurol 78(6):860–870. https://doi.org/10.1002/ana.24510CrossRefPubMedPubMedCentral

Finger S (2010) Chapter 51: recovery of function: redundancy and vicariation theories. Handb Clin Neurol 95:833–841. https://doi.org/10.1016/S0072-9752(08)02151-9CrossRefPubMed

Fogassi L, Luppino G (2005) Motor functions of the parietal lobe. Curr Opin Neurobiol 15(6):626–631. https://doi.org/10.1016/j.conb.2005.10.015CrossRefPubMed

Gerloff C, Bushara K, Sailer A, Wassermann EM, Chen R, Matsuoka T et al (2006) Multimodal imaging of brain reorganization in motor areas of the contralesional hemisphere of well recovered patients after capsular stroke. Brain 129(Pt 3):791–808. https://doi.org/10.1093/brain/awh713CrossRefPubMed

Gordon EM, Laumann TO, Adeyemo B, Huckins JF, Kelley WM, Petersen SE (2016) Generation and evaluation of a cortical area parcellation from resting-state correlations. Cereb Cortex 26(1):288–303. https://doi.org/10.1093/cercor/bhu239CrossRef

Grefkes C, Fink GR (2014) Connectivity-based approaches in stroke and recovery of function. Lancet Neurol 13(2):206–216. https://doi.org/10.1016/S1474-4422(13)70264-3CrossRefPubMed

Greicius MD, Flores BH, Menon V, Glover GH, Solvason HB, Kenna H et al (2007) Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol Psychiat 62(5):429–437. https://doi.org/10.1016/j.biopsych.2006.09.020CrossRefPubMed

Griffis JC, Metcalf NV, Corbetta M, Shulman GL (2019) Structural disconnections explain brain network dysfunction after stroke. Cell Rep 28(10):2527-2540.e9. https://doi.org/10.1016/j.celrep.2019.07.100CrossRefPubMedPubMedCentral

Gu X, Chen W, Volkow ND, Koretsky AP, Du C, Pan Y (2018) Synchronized astrocytic Ca(2+) responses in neurovascular coupling during somatosensory stimulation and for the resting state. Cell Rep 23(13):3878–3890. https://doi.org/10.1016/j.celrep.2018.05.091CrossRefPubMedPubMedCentral

Guo XL, Liu RH, Lu JC, Wu CW, Lyu YY, Wang Z et al (2019) Alterations in brain structural connectivity after unilateral upper-limb amputation. IEEE Trans Neural Syst Rehabil Eng 27(10):2196–2204. https://doi.org/10.1109/Tnsre.2019.2936615CrossRefPubMed

Hartwigsen G, Bestmann S, Ward NS, Woerbel S, Mastroeni C, Granert O, Siebner HR (2012) Left dorsal premotor cortex and supramarginal gyrus complement each other during rapid action reprogramming. J Neurosci 32(46):16162–16171a. https://doi.org/10.1523/JNEUROSCI.1010-12.2012CrossRefPubMedPubMedCentral

Jia XZ, Wang J, Sun HY, Zhang H, Liao W, Wang Z et al (2019) RESTplus: an improved toolkit for resting-state functional magnetic resonance imaging data processing. Sci Bull 64(14):953–954. https://doi.org/10.1016/j.scib.2019.05.008CrossRef

Jiang L, Geng W, Chen H, Zhang H, Bo F, Mao CN et al (2018) Decreased functional connectivity within the default-mode network in acute brainstem ischemic stroke. Eur J Radiol 105:221–226. https://doi.org/10.1016/j.ejrad.2018.06.018CrossRefPubMed

Kalinosky BT, Berrios Barillas R, Schmit BD (2017) Structurofunctional resting-state networks correlate with motor function in chronic stroke. Neuroimage Clin 16:610–623. https://doi.org/10.1016/j.nicl.2017.07.002CrossRefPubMedPubMedCentral

Koch P, Schulz R, Hummel FC (2016) Structural connectivity analyses in motor recovery research after stroke. Ann Clin Transl Neurol 3(3):233–244. https://doi.org/10.1002/acn3.278CrossRefPubMedPubMedCentral

Koch PJ, Park CH, Girard G, Beanato E, Egger P, Evangelista GG et al (2021) The structural connectome and motor recovery after stroke: predicting natural recovery. Brain 144(7):2107–2119. https://doi.org/10.1093/brain/awab082CrossRefPubMedPubMedCentral

Langhorne P, Ramachandra S, Stroke Unit Trialists’ Collaboration (2020) Organised inpatient (stroke unit) care for stroke: network meta-analysis. Cochrane Database Syst Rev 4(4):CD000197. https://doi.org/10.1002/14651858.CD000197.pub4CrossRefPubMed

Lee JH, Kyeong S, Kang H, Kim DH (2019) Structural and functional connectivity correlates with motor impairment in chronic supratentorial stroke: a multimodal magnetic resonance imaging study. NeuroReport 30(7):526–531. https://doi.org/10.1097/WNR.0000000000001247CrossRefPubMed

Lindenberg R, Renga V, Zhu LL, Betzler F, Alsop D, Schlaug G (2010) Structural integrity of corticospinal motor fibers predicts motor impairment in chronic stroke. Neurology 74(4):280–287. https://doi.org/10.1212/WNL.0b013e3181ccc6d9CrossRefPubMedPubMedCentral

Liu G, Dang C, Peng K, Xie C, Chen H, Xing S et al (2015) Increased spontaneous neuronal activity in structurally damaged cortex is correlated with early motor recovery in patients with subcortical infarction. Eur J Neurol 22(12):1540–1547. https://doi.org/10.1111/ene.12780CrossRefPubMed

Liu H, Peng X, Dahmani L, Wang H, Zhang M, Shan Y et al (2020) Patterns of motor recovery and structural neuroplasticity after basal ganglia infarcts. Neurology 95(9):e1174–e1187. https://doi.org/10.1212/WNL.0000000000010149CrossRefPubMedPubMedCentral

Lugtmeijer S, Lammers NA, de Haan EHF, de Leeuw FE, Kessels RPC (2020) Post-stroke working memory dysfunction: a meta-analysis and systematic review. Neuropsychol Rev. https://doi.org/10.1007/s11065-020-09462-4CrossRefPubMedPubMedCentral

Ma L, Narayana S, Robin DA, Fox PT, Xiong J (2011) Changes occur in resting state network of motor system during 4 weeks of motor skill learning. Neuroimage 58(1):226–233. https://doi.org/10.1016/j.neuroimage.2011.06.014CrossRefPubMed

Mendelson SJ, Prabhakaran S (2021) Diagnosis and management of transient ischemic attack and acute ischemic stroke: a review. JAMA 325(11):1088–1098. https://doi.org/10.1001/jama.2020.26867CrossRefPubMed

Mori S, Crain BJ, Chacko VP, van Zijl PCM (1999) Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol 45(2):265–269. https://doi.org/10.1002/1531-8249(199902)45:2%3c265::Aid-Ana21%3e3.0.Co;2-3CrossRefPubMed

Mueller S, Costa A, Keeser D, Pogarell O, Berman A, Coates U et al (2014) The effects of methylphenidate on whole brain intrinsic functional connectivity. Hum Brain Mapp 35(11):5379–5388. https://doi.org/10.1002/hbm.22557CrossRefPubMedPubMedCentral

Naghdi S, Ansari NN, Mansouri K, Hasson S (2010) A neurophysiological and clinical study of Brunnstrom recovery stages in the upper limb following stroke. Brain Inj 24(11):1372–1378. https://doi.org/10.3109/02699052.2010.506860CrossRefPubMed

Park CH, Chang WH, Ohn SH, Kim ST, Bang OY, Pascual-Leone A, Kim YH (2011) Longitudinal changes of resting-state functional connectivity during motor recovery after stroke. Stroke 42(5):1357–1362. https://doi.org/10.1161/STROKEAHA.110.596155CrossRefPubMedPubMedCentral

Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA et al (2011) Functional network organization of the human brain. Neuron 72(4):665–678. https://doi.org/10.1016/j.neuron.2011.09.006CrossRefPubMedPubMedCentral

Qin Y, Liu X, Guo X, Liu M, Li H, Xu S (2021) Low-frequency repetitive transcranial magnetic stimulation restores dynamic functional connectivity in subcortical stroke. Front Neurol 12:771034. https://doi.org/10.3389/fneur.2021.771034CrossRefPubMedPubMedCentral

Riecker A, Groschel K, Ackermann H, Schnaudigel S, Kassubek J, Kastrup A (2010) The role of the unaffected hemisphere in motor recovery after stroke. Hum Brain Mapp 31(7):1017–1029. https://doi.org/10.1002/hbm.20914CrossRefPubMedPubMedCentral

Rodgers H, Bosomworth H, Krebs HI, van Wijck F, Howel D, Wilson N et al (2019) Robot assisted training for the upper limb after stroke (RATULS): a multicentre randomised controlled trial. Lancet 394(10192):51–62. https://doi.org/10.1016/S0140-6736(19)31055-4CrossRefPubMedPubMedCentral

Saxena S, Keser Z, Rorden C, Bonilha L, Fridriksson J, Walker A, Hillis AE (2022) Disruptions of the human connectome associated with hemispatial neglect. Neurology 98(2):e107–e114. https://doi.org/10.1212/WNL.0000000000013050CrossRefPubMedPubMedCentral

Schaechter JD, Fricker ZP, Perdue KL, Helmer KG, Vangel MG, Greve DN, Makris N (2009) Microstructural status of ipsilesional and contralesional corticospinal tract correlates with motor skill in chronic stroke patients. Hum Brain Mapp 30(11):3461–3474. https://doi.org/10.1002/hbm.20770CrossRefPubMedPubMedCentral

Schulz R, Park E, Lee J, Chang WH, Lee A, Kim YH, Hummel FC (2017) Interactions between the corticospinal tract and premotor-motor pathways for residual motor output after stroke. Stroke 48(10):2805–2811. https://doi.org/10.1161/STROKEAHA.117.016834CrossRefPubMed

Siegel JS, Shulman GL, Corbetta M (2017) Measuring functional connectivity in stroke: approaches and considerations. J Cereb Blood Flow Metab 37(8):2665–2678. https://doi.org/10.1177/0271678X17709198CrossRefPubMedPubMedCentral

Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE et al (2009) Correspondence of the brain’s functional architecture during activation and rest. Proc Natl Acad Sci USA 106(31):13040–13045. https://doi.org/10.1073/pnas.0905267106CrossRefPubMedPubMedCentral

Song D, Chang D, Zhang J, Ge Q, Zang YF, Wang Z (2019) Associations of brain entropy (BEN) to cerebral blood flow and fractional amplitude of low-frequency fluctuations in the resting brain. Brain Imaging Behav 13(5):1486–1495. https://doi.org/10.1007/s11682-018-9963-4CrossRefPubMed

Suarez LE, Markello RD, Betzel RF, Misic B (2020) Linking structure and function in macroscale brain networks. Trends Cogn Sci 24(4):302–315. https://doi.org/10.1016/j.tics.2020.01.008CrossRefPubMed

Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS et al (2022) Heart disease and stroke statistics-2022 update: a report from the American Heart Association. Circulation 145(8):e153–e639. https://doi.org/10.1161/CIR.0000000000001052CrossRefPubMed

Tu WJ, Yan F, Chao BH, Ji XM, Wang L (2021) Stroke-unit care for stroke patients in China: the results from Bigdata observatory platform for Stroke of China. J Neurol 268(11):4213–4220. https://doi.org/10.1007/s00415-021-10532-7CrossRefPubMed

Umarova RM, Beume L, Reisert M, Kaller CP, Kloppel S, Mader I et al (2017) Distinct white matter alterations following severe stroke: longitudinal DTI study in neglect. Neurology 88(16):1546–1555. https://doi.org/10.1212/WNL.0000000000003843CrossRefPubMed

Visser MM, Yassi N, Campbell BCV, Desmond PM, Davis SM, Spratt N et al (2019) White matter degeneration after ischemic stroke: a longitudinal diffusion tensor imaging study. J Neuroimaging 29(1):111–118. https://doi.org/10.1111/jon.12556CrossRefPubMed

Wang L, Yu C, Chen H, Qin W, He Y, Fan F et al (2010) Dynamic functional reorganization of the motor execution network after stroke. Brain 133(Pt 4):1224–1238. https://doi.org/10.1093/brain/awq043CrossRefPubMed

Wang CH, Qin W, Zhang J, Tian T, Li Y, Meng LL et al (2014) Altered functional organization within and between resting-state networks in chronic subcortical infarction. J Cereb Blood Flow Metab 34(4):597–605. https://doi.org/10.1038/jcbfm.2013.238CrossRefPubMedPubMedCentral

Werden E, Cumming T, Li Q, Bird L, Veldsman M, Pardoe HR et al (2017) Structural MRI markers of brain aging early after ischemic stroke. Neurology 89(2):116–124. https://doi.org/10.1212/WNL.0000000000004086CrossRefPubMedPubMedCentral

Whitlock JR (2017) Posterior parietal cortex. Curr Biol 27(14):R691–R695. https://doi.org/10.1016/j.cub.2017.06.007CrossRefPubMed

Wiesendanger M (2006) Constantin von Monakow (1853–1930): a pioneer in interdisciplinary brain research and a humanist. CR Biol 329(5–6):406–418. https://doi.org/10.1016/j.crvi.2006.03.011CrossRef

Wu J, Quinlan EB, Dodakian L, McKenzie A, Kathuria N, Zhou RJ et al (2015) Connectivity measures are robust biomarkers of cortical function and plasticity after stroke. Brain 138(Pt 8):2359–2369. https://doi.org/10.1093/brain/awv156CrossRefPubMedPubMedCentral

Wu Y, Lu R, Su H, Shi P, Wu ZG (2017) Adaptive output synchronization with uncertain leader. In: Synchronization control for large-scale network systems. Studies in systems, decision and control, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-45150-3_10CrossRef

Xie YJ, Chen Y, Tan HX, Guo QF, Lau BW, Gao Q (2021) Repetitive transcranial magnetic stimulation for lower extremity motor function in patients with stroke: a systematic review and network meta-analysis. Neural Regen Res 16(6):1168–1176. https://doi.org/10.4103/1673-5374.300341CrossRefPubMed

Yang H, Long XY, Yang YH, Yan H, Zhu CZ, Zhou XP et al (2007) Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. Neuroimage 36(1):144–152. https://doi.org/10.1016/j.neuroimage.2007.01.054CrossRefPubMed

Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M et al (2011) The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106(3):1125–1165. https://doi.org/10.1152/jn.00338.2011CrossRefPubMed

Zaaimi B, Edgley SA, Soteropoulos DS, Baker SN (2012) Changes in descending motor pathway connectivity after corticospinal tract lesion in macaque monkey. Brain 135(Pt 7):2277–2289. https://doi.org/10.1093/brain/aws115CrossRefPubMedPubMedCentral

Zarahn E, Alon L, Ryan SL, Lazar RM, Vry MS, Weiller C et al (2011) Prediction of motor recovery using initial impairment and fMRI 48 h poststroke. Cereb Cortex 21(12):2712–2721. https://doi.org/10.1093/cercor/bhr047CrossRefPubMedPubMedCentral

Zhang J, Meng L, Qin W, Liu N, Shi FD, Yu C (2014) Structural damage and functional reorganization in ipsilesional m1 in well-recovered patients with subcortical stroke. Stroke 45(3):788–793. https://doi.org/10.1161/STROKEAHA.113.003425CrossRefPubMed

Zhang Y, Liu H, Wang L, Yang J, Yan R, Zhang J et al (2016) Relationship between functional connectivity and motor function assessment in stroke patients with hemiplegia: a resting-state functional MRI study. Neuroradiology 58(5):503–511. https://doi.org/10.1007/s00234-016-1646-5CrossRefPubMed

Zhang Y, Wang L, Yang J, Yan R, Zhang J, Sang L et al (2017) Abnormal functional networks in resting-state of the sub-cortical chronic stroke patients with hemiplegia. Brain Res 1663:51–58. https://doi.org/10.1016/j.brainres.2017.02.012CrossRefPubMed

Zou QH, Zhu CZ, Yang YH, Zuo XN, Long XY, Cao QJ et al (2008) An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: fractional ALFF. J Neurosci Methods 172(1):137–141. https://doi.org/10.1016/j.jneumeth.2008.04.012CrossRefPubMedPubMedCentral

Zuo XN, Kelly C, Adelstein JS, Klein DF, Castellanos FX, Milham MP (2010) Reliable intrinsic connectivity networks: test-retest evaluation using ICA and dual regression approach. Neuroimage 49(3):2163–2177. https://doi.org/10.1016/j.neuroimage.2009.10.080CrossRefPubMed

Titel: Changes in Resting-State Neural Activity and Nerve Fibres in Ischaemic Stroke Patients with Hemiplegia
verfasst von: Xuejin Cao
Zan Wang
Xiaohui Chen
Yanli Liu
Idriss Ali Abdoulaye
Shenghong Ju
Shiyao Zhang
Shanshan Wu
Yuancheng Wang
Yijing Guo
Publikationsdatum: 05.01.2023
Verlag: Springer US
Erschienen in: Brain Topography / Ausgabe 2/2023
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI: https://doi.org/10.1007/s10548-022-00937-6

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

Schützt Olivenöl vor dem Tod durch Demenz?

10.05.2024 Morbus Alzheimer Nachrichten

Konsumieren Menschen täglich 7 Gramm Olivenöl, ist ihr Risiko, an einer Demenz zu sterben, um mehr als ein Vierten reduziert – und dies weitgehend unabhängig von ihrer sonstigen Ernährung. Dafür sprechen Auswertungen zweier großer US-Studien.

Bluttest erkennt Parkinson schon zehn Jahre vor der Diagnose

10.05.2024 Parkinson-Krankheit Nachrichten

Ein Bluttest kann abnorm aggregiertes Alpha-Synuclein bei einigen Menschen schon zehn Jahre vor Beginn der motorischen Parkinsonsymptome nachweisen. Mit einem solchen Test lassen sich möglicherweise Prodromalstadien erfassen und die Betroffenen früher behandeln.

Darf man die Behandlung eines Neonazis ablehnen?

08.05.2024 Gesellschaft Nachrichten

In einer Leseranfrage in der Zeitschrift Journal of the American Academy of Dermatology möchte ein anonymer Dermatologe bzw. eine anonyme Dermatologin wissen, ob er oder sie einen Patienten behandeln muss, der eine rassistische Tätowierung trägt.

Wartezeit nicht kürzer, aber Arbeit flexibler

Psychotherapie Medizin aktuell

Fünf Jahren nach der Neugestaltung der Psychotherapie-Richtlinie wurden jetzt die Effekte der vorgenommenen Änderungen ausgewertet. Das Hauptziel der Novellierung war eine kürzere Wartezeit auf Therapieplätze. Dieses Ziel wurde nicht erreicht, es gab jedoch positive Auswirkungen auf andere Bereiche.

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Klimawandel und Gesundheit: Was Sie in der Hausarztpraxis wissen müssen und tun können

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2023

Mindfulness Training Improves Attention: Evidence from Behavioral and Event-related Potential Analyses

fMRIflows: A Consortium of Fully Automatic Univariate and Multivariate fMRI Processing Pipelines

Electrophysiological Changes in Patients with Post-stroke Aphasia: A Systematic Review

Scale-Free Dynamics in Instantaneous Alpha Frequency Fluctuations: Validation, Test–Retest Reliability and Its Relationship with Task Manipulations

TMS-evoked EEG potentials demonstrate altered cortical excitability in migraine with aura