Stefanie Schreiber

Prof. Dr. Stefanie Schreiber

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 January 2020 in Brain
Verified
Journal Article
Open access
VPValentina Perosa
Valentina Perosa
APAnastasia Priester
Anastasia Priester
GZGabriel Ziegler
Gabriel Ziegler
ACArturo Cardenas-Blanco
Arturo Cardenas-Blanco
LDLaura Dobisch
Laura Dobisch
EDEmrah Düzel
Emrah Düzel
Medial temporal lobe dependent cognitive functions are highly vulnerable to hypoxia in the hippocampal region, yet little is known about the relationship between the richness of hippocampal vascular supply and cognition. Hippocampal vascularization patterns have been categorized into a mixed supply from both the posterior cerebral artery and the anterior choroidal artery or a single supply by the posterior cerebral artery only. Hippocampal arteries are small and affected by pathological changes when cerebral small vessel disease is present. We hypothesized, that hippocampal vascularization patterns may be important trait markers for vascular reserve and modulate (i) cognitive performance; (ii) structural hippocampal integrity; and (iii) the effect of cerebral small vessel disease on cognition. Using high-resolution 7 T time-of-flight angiography we manually classified hippocampal vascularization patterns in older adults with and without cerebral small vessel disease in vivo. The presence of a mixed supplied hippocampus was an advantage in several cognitive domains, including verbal list learning and global cognition. A mixed supplied hippocampus also was an advantage for verbal memory performance in cerebral small vessel disease. Voxel-based morphometry showed higher anterior hippocampal grey matter volume in mixed, compared to single supply. We discuss that a mixed hippocampal supply, as opposed to a single one, may increase the reliability of hippocampal blood supply and thereby provide a hippocampal vascular reserve that protects against cognitive impairment.

14 March 2013 in Experimental & Translational Stroke Medicine
Verified
Journal Article
Open access
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SSStefanie Schreiber
Stefanie Schreiber
CBCeline Zoe Bueche
Celine Zoe Bueche
CGCornelia Garz
Cornelia Garz
HBHolger Braun
Holger Braun
Cerebral small vessel disease (CSVD, cerebral microangiopathy) leads to dementia and stroke-like symptoms. Lacunes, white matter lesions (WML) and microbleeds are the main pathological correlates depicted in in-vivo imaging diagnostics. Early studies described segmental arterial wall disorganizations of small penetrating cerebral arteries as the most pronounced underlying histopathology of lacunes. Luminal narrowing caused by arteriolosclerosis was supposed to result in hypoperfusion with WML and infarcts.

19 September 2014 in Frontiers in Aging Neuroscience
Verified
Journal Article
Open access
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AMAlan W. J. Morris
Alan W. J. Morris
RCRoxana O. Carare
Roxana O. Carare
SSStefanie Schreiber
Stefanie Schreiber
CHCheryl Hawkes
Cheryl Hawkes
Cerebral amyloid angiopathy (CAA), the accumulation of β-amyloid (Aβ) peptides in the walls of cerebral blood vessels, is observed in the majority of Alzheimer’s disease brains and is thought to be due to a failure of the aging brain to clear Aβ. Perivascular drainage of Aβ along cerebrovascular basement membranes (CVBMs) is one of the mechanisms by which Aβ is removed from the brain. CVBMs are specialized sheets of extracellular matrix that provide structural and functional support for cerebral blood vessels. Changes in CVBM composition and structure are observed in the aged and Alzheimer’s disease brain and may contribute to the development and progression of CAA. This review summarizes the properties of the CVBM, its role in mediating clearance of interstitial fluids and solutes from the brain, and evidence supporting a role for CVBM in the etiology of CAA.

28 August 2012 in Acta Neuropathologica
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Journal Article
Closed access
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SVStefan Vielhaber
Stefan Vielhaber
GDGrazyna Debska-Vielhaber
Grazyna Debska-Vielhaber
VPViktoriya Peeva
Viktoriya Peeva
SSSusanne Schoeler
Susanne Schoeler
AKAlexei P. Kudin
Alexei P. Kudin
Wolfram KunzWolfram Kunz
Wolfram Kunz

1 October 2018 in Radiology
Verified
Journal Article
Closed access
JAJulio Acosta-Cabronero
Julio Acosta-Cabronero
JMJudith Machts
Judith Machts
SSStefanie Schreiber
Stefanie Schreiber
SASusanne Abdulla
Susanne Abdulla
KKKatja Kollewe
Katja Kollewe
PNPeter J. Nestor
Peter J. Nestor
Quantitative susceptibility mapping alterations in amyotrophic lateral sclerosis involve the motor cortex, corticospinal tracts, and a range of subcortical nuclei. This distribution is consistent with the known pattern of brain degeneration in this disease. Purpose To investigate the whole-brain landscape of iron-related abnormalities in amyotrophic lateral sclerosis (ALS) by using the in vivo MRI technique of quantitative susceptibility mapping (QSM). Materials and Methods For this prospective study, 28 patients with ALS (mean age, 61 years; age range, 43–77 years; 18 men [mean age, 61 years; range, 43–77 years] and 10 women [mean age, 61 years; range, 47–74 years]) recruited between January 17, 2014, and September 4, 2015, and 39 matched control subjects (mean age, 61 years; age range, 39–77 years; 24 men [mean age, 62 years; range, 39–77 years] and 15 women [mean age, 59 years; range, 39–73 years]) were examined by using structural and susceptibility 3.0-T MRI techniques. Group data were cross sectionally compared with family-wise error (FWE) corrections by using voxel-based morphometry (random-field theory), cortical thickness analysis (Monte Carlo simulated), subcortical volumetry (Bonferroni-corrected Wilcoxon rank-sum testing), and QSM analysis (clust...

1 October 2015 in JAMA Neurology
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Journal Article
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SSStefanie Schreiber
Stefanie Schreiber
SLSusan M. Landau
Susan M. Landau
AFAllison Fero
Allison Fero
FSFrank Schreiber
Frank Schreiber
WJWilliam J. Jagust
William J. Jagust
Research from JAMA Neurology — Comparison of Visual and Quantitative Florbetapir F 18 Positron Emission Tomography Analysis in Predicting Mild Cognitive Impairment Outcomes