L
L. Tugan Muftuler
Researcher at Medical College of Wisconsin
Publications - 74
Citations - 3694
L. Tugan Muftuler is an academic researcher from Medical College of Wisconsin. The author has contributed to research in topics: Diffusion MRI & Imaging phantom. The author has an hindex of 26, co-authored 71 publications receiving 3329 citations. Previous affiliations of L. Tugan Muftuler include University of California, Irvine & Froedtert Hospital.
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Journal ArticleDOI
Children's Brain Development Benefits from Longer Gestation
Elysia Poggi Davis,Claudia Buss,L. Tugan Muftuler,Kevin Head,Anton N. Hasso,Deborah A. Wing,Calvin J. Hobel,Curt A. Sandman +7 more
TL;DR: It is demonstrated that even modest decreases in the duration of gestation can exert profound and lasting effects on neurodevelopment for both term and preterm infants and may contribute to long-term risk for health and disease.
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High pregnancy anxiety during mid-gestation is associated with decreased gray matter density in 6-9-year-old children.
TL;DR: This is the first prospective study to show that a specific temporal pattern of pregnancy anxiety is related to specific changes in brain morphology, and altered gray matter volume in brain regions affected by prenatal maternal anxiety may render the developing individual more vulnerable to neurodevelopmental and psychiatric disorders as well as cognitive and intellectual impairment.
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Distinct pattern separation related transfer functions in human CA3/dentate and CA1 revealed using high-resolution fMRI and variable mnemonic similarity
TL;DR: In this paper, a parametrically varying the change in input (similarity) while monitoring CA1 and CA3/dentate for separation and completion-like signals using high-resolution fMRI was presented.
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Ultrahigh-resolution microstructural diffusion tensor imaging reveals perforant path degradation in aged humans in vivo
TL;DR: Ultrahigh-resolution microstructural DTI is a unique biomarker that can be used in combination with traditional structural and functional neuroimaging methods to enhance detection of Alzheimer disease in its earliest stages, test the effectiveness of new therapies, and monitor disease progression.
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Impact of scanner hardware and imaging protocol on image quality and compartment volume precision in the ADNI cohort.
TL;DR: The retest reliability of repeated volumetric measures under the same conditions was found as sufficient to track changes in longitudinal examinations in individual subjects, and two likely factors are scanner-dependent geometrical inaccuracies and differences in the white/grey matter tissue contrast.