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000277548 1001_ $$aSchirge, Philine Marie$$b0
000277548 245__ $$aPerivascular space and white matter hyperintensities in Alzheimer's disease: associations with disease progression and cognitive function.
000277548 260__ $$aLondon$$bBioMed Central$$c2025
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000277548 520__ $$aAlzheimer's disease (AD) is the leading cause of dementia, characterized by the accumulation of amyloid-beta (Aβ) and neurofibrillary tangles. Recent studies emphasize the role of vascular factors, including the glymphatic system, in AD pathogenesis, particularly in Aβ clearance. The diffusion tensor image analysis along the perivascular space (DTI-ALPS; ALPS-Index) has emerged as a novel, non-invasive method to evaluate the glymphatic system in vivo, showing glymphatic insufficiency in AD. This study aimed to investigate alterations in the function of the glymphatic system in individuals with AD versus healthy controls (HC), and to explore its association with Aβ, cerebrovascular disease (CVD), white matter hyperintensities (WMH), and cognitive function.DTI MRI data from three independent study cohorts (ActiGliA: AD n = 16, Controls n = 18; DELCODE: AD n = 54, Controls n = 67; ADNI: AD n = 43, Controls n = 49) were used to evaluate the perivascular space (PVS) integrity; a potential biomarker for glymphatic activity. The DTI-Along the Perivascular Space technique was used to measure water diffusion along PVS providing an index to assess the efficiency of the glymphatic system's waste clearance function. WMH load was quantified in FLAIR MRI using the lesion segmentation tool. We quantified WMHs volume within our defined region of interest (ROI) and excluded participants with any WMHs to avoid confounding the ALPS-Index. Associations with cerebrospinal fluid (CSF) AD hallmark biomarkers, cognitive performance (MMSE) and clinical severity (CDR) were assessed.AD patients had a significantly lower ALPS-Index vs. healthy controls (ActiGliA: AD: mean = 1.22, SD = 0.12; Controls: mean = 1.36, SD = 0.14, p = 0.004; DELCODE: AD: mean = 1.26, SD = 0.18; Controls: mean = 1.34, SD = 0.2, p = 0.035; ADNI: AD: mean = 1.08, SD = 0.24; Controls: mean = 1.19, SD = 0.13, p = 0.008). The ALPS-Index was associated with CSF Aβ concentration, WMH number and MMSE and CDR. WMH, found in the ROIs correlated negatively with the ALPS-Index.This study highlights the potential of the DTI-ALPS-Index as a biomarker for glymphatic dysfunction in AD. It underscores the importance of considering vascular factors and the glymphatic system in the pathogenesis and diagnosis of AD as WMHs in the ROI could cause disturbances and inaccurate indices.
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000277548 650_7 $$2Other$$aAlzheimer's disease
000277548 650_7 $$2Other$$aAmyloid-beta
000277548 650_7 $$2Other$$aCognitive decline
000277548 650_7 $$2Other$$aDementia
000277548 650_7 $$2Other$$aDiffusion tensor imaging
000277548 650_7 $$2Other$$aPerivascular space
000277548 650_7 $$2NLM Chemicals$$aAmyloid beta-Peptides
000277548 650_2 $$2MeSH$$aHumans
000277548 650_2 $$2MeSH$$aAlzheimer Disease: diagnostic imaging
000277548 650_2 $$2MeSH$$aAlzheimer Disease: pathology
000277548 650_2 $$2MeSH$$aFemale
000277548 650_2 $$2MeSH$$aMale
000277548 650_2 $$2MeSH$$aWhite Matter: diagnostic imaging
000277548 650_2 $$2MeSH$$aWhite Matter: pathology
000277548 650_2 $$2MeSH$$aAged
000277548 650_2 $$2MeSH$$aDisease Progression
000277548 650_2 $$2MeSH$$aGlymphatic System: diagnostic imaging
000277548 650_2 $$2MeSH$$aGlymphatic System: pathology
000277548 650_2 $$2MeSH$$aDiffusion Tensor Imaging: methods
000277548 650_2 $$2MeSH$$aCognition: physiology
000277548 650_2 $$2MeSH$$aAged, 80 and over
000277548 650_2 $$2MeSH$$aAmyloid beta-Peptides: cerebrospinal fluid
000277548 650_2 $$2MeSH$$aAmyloid beta-Peptides: metabolism
000277548 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000277548 650_2 $$2MeSH$$aBrain: diagnostic imaging
000277548 650_2 $$2MeSH$$aBrain: pathology
000277548 7001_ $$0P:(DE-2719)2812234$$aPerneczky, Robert$$b1$$eFirst author$$udzne
000277548 7001_ $$aTaoka, Toshiaki$$b2
000277548 7001_ $$aRuiz-Rizzo, Adriana L$$b3
000277548 7001_ $$0P:(DE-2719)9002917$$aErsoezlue, Ersin$$b4$$udzne
000277548 7001_ $$aForbrig, Robert$$b5
000277548 7001_ $$0P:(DE-2719)9001027$$aGuersel, Selim$$b6$$udzne
000277548 7001_ $$aKurz, Carolin$$b7
000277548 7001_ $$0P:(DE-2719)9001539$$aBrendel, Matthias$$b8$$udzne
000277548 7001_ $$0P:(DE-2719)9003016$$aHellmann-Regen, Julian$$b9$$udzne
000277548 7001_ $$0P:(DE-2719)2811122$$aPriller, Josef$$b10$$udzne
000277548 7001_ $$0P:(DE-2719)2812035$$aSchneider, Anja$$b11$$udzne
000277548 7001_ $$0P:(DE-2719)2000032$$aJessen, Frank$$b12$$udzne
000277548 7001_ $$0P:(DE-2719)2000005$$aDüzel, Emrah$$b13$$udzne
000277548 7001_ $$0P:(DE-2719)2811351$$aBuerger, Katharina$$b14$$udzne
000277548 7001_ $$0P:(DE-2719)2000026$$aTeipel, Stefan$$b15$$udzne
000277548 7001_ $$0P:(DE-2719)2000055$$aLaske, Christoph$$b16$$udzne
000277548 7001_ $$0P:(DE-2719)2811024$$aPeters, Oliver$$b17$$udzne
000277548 7001_ $$0P:(DE-2719)2812446$$aSpruth, Eike$$b18
000277548 7001_ $$0P:(DE-2719)2811326$$aFliessbach, Klaus$$b19$$udzne
000277548 7001_ $$aRostamzadeh, Ayda$$b20
000277548 7001_ $$0P:(DE-2719)2811614$$aGlanz, Wenzel$$b21$$udzne
000277548 7001_ $$0P:(DE-2719)9002557$$aJanowitz, Daniel$$b22$$udzne
000277548 7001_ $$0P:(DE-2719)2810394$$aKilimann, Ingo$$b23$$udzne
000277548 7001_ $$0P:(DE-2719)9003152$$aSodenkamp, Sebastian$$b24$$udzne
000277548 7001_ $$0P:(DE-2719)9000543$$aEwers, Michael$$b25
000277548 7001_ $$0P:(DE-2719)9001808$$aRauchmann, Boris-Stephan$$b26$$eLast author$$udzne
000277548 773__ $$0PERI:(DE-600)2506521-X$$a10.1186/s13195-025-01707-9$$gVol. 17, no. 1, p. 62$$n1$$p62$$tAlzheimer's research & therapy$$v17$$x1758-9193$$y2025
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