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Items: 1 to 20 of 335


Insulin resistance among obese middle-aged is associated with decreased cerebrovascular reactivity.

Frosch OH, Yau PL, Osorio RS, Rusinek H, Storey P, Convit A.

Neurology. 2017 Jun 14. pii: 10.1212/WNL.0000000000004110. doi: 10.1212/WNL.0000000000004110. [Epub ahead of print]


Proton MR spectroscopy of lesion evolution in multiple sclerosis: Steady-state metabolism and its relationship to conventional imaging.

Kirov II, Liu S, Tal A, Wu WE, Davitz MS, Babb JS, Rusinek H, Herbert J, Gonen O.

Hum Brain Mapp. 2017 May 19. doi: 10.1002/hbm.23647. [Epub ahead of print]


Diagnosis of Normal-Pressure Hydrocephalus: Use of Traditional Measures in the Era of Volumetric MR Imaging.

Miskin N, Patel H, Franceschi AM, Ades-Aron B, Le A, Damadian BE, Stanton C, Serulle Y, Golomb J, Gonen O, Rusinek H, George AE; Alzheimer’s Disease Neuroimaging Initiative.

Radiology. 2017 May 10:161216. doi: 10.1148/radiol.2017161216. [Epub ahead of print]


Lumbar Puncture Test in Normal Pressure Hydrocephalus: Does the Volume of CSF Removed Affect the Response to Tap?

Thakur SK, Serulle Y, Miskin NP, Rusinek H, Golomb J, George AE.

AJNR Am J Neuroradiol. 2017 May 4. doi: 10.3174/ajnr.A5187. [Epub ahead of print]


CSF clearance in Alzheimer Disease measured with dynamic PET.

de Leon MJ, Li Y, Okamura N, Tsui WH, Saint Louis LA, Glodzik L, Osorio RS, Fortea J, Butler T, Pirraglia E, Fossati S, Kim HJ, Carare RO, Nedergaard M, Benveniste H, Rusinek H.

J Nucl Med. 2017 Mar 16. pii: jnumed.116.187211. doi: 10.2967/jnumed.116.187211. [Epub ahead of print]


Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.

Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272.


Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns.

Park JY, Na HK, Kim S, Kim H, Kim HJ, Seo SW, Na DL, Han CE, Seong JK; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Mar 9;7:43270. doi: 10.1038/srep43270.


Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease.

Huang M, Yang W, Feng Q, Chen W; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2017 Jan 12;7:39880. doi: 10.1038/srep39880.


Multimodal characterization of older APOE2 carriers reveals selective reduction of amyloid load.

Grothe MJ, Villeneuve S, Dyrba M, Bartrés-Faz D, Wirth M; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Feb 7;88(6):569-576. doi: 10.1212/WNL.0000000000003585. Epub 2017 Jan 6.


Clinical applicability and relevance of fibroglandular tissue segmentation on routine T1 weighted breast MRI.

Pujara AC, Mikheev A, Rusinek H, Rallapalli H, Walczyk J, Gao Y, Chhor C, Pysarenko K, Babb JS, Melsaether AN.

Clin Imaging. 2017 Mar - Apr;42:119-125. doi: 10.1016/j.clinimag.2016.12.002. Epub 2016 Dec 6.


Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology.

Schmitz TW, Nathan Spreng R; Alzheimer's Disease Neuroimaging Initiative.

Nat Commun. 2016 Nov 4;7:13249. doi: 10.1038/ncomms13249.


Polygenic risk of Alzheimer disease is associated with early- and late-life processes.

Mormino EC, Sperling RA, Holmes AJ, Buckner RL, De Jager PL, Smoller JW, Sabuncu MR; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 Aug 2;87(5):481-8. doi: 10.1212/WNL.0000000000002922. Epub 2016 Jul 6.


Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis.

Iturria-Medina Y, Sotero RC, Toussaint PJ, Mateos-Pérez JM, Evans AC; Alzheimer’s Disease Neuroimaging Initiative.

Nat Commun. 2016 Jun 21;7:11934. doi: 10.1038/ncomms11934.


A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer's disease.

Liu H, Zhou X, Jiang H, He H, Liu X; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2016 Jun 7;6:26712. doi: 10.1038/srep26712.


Effects of vascular risk factors, statins, and antihypertensive drugs on PiB deposition in cognitively normal subjects.

Glodzik L, Rusinek H, Kamer A, Pirraglia E, Tsui W, Mosconi L, Li Y, McHugh P, Murray J, Williams S, Osorio RS, Randall C, Butler T, Deshpande A, Vallabhajolusa S, de Leon M.

Alzheimers Dement (Amst). 2016 Apr 19;2:95-104. doi: 10.1016/j.dadm.2016.02.007. eCollection 2016.


Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer's disease cohorts.

Tan L, Wang HF, Tan MS, Tan CC, Zhu XC, Miao D, Yu WJ, Jiang T, Tan L, Yu JT; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2016 May 27;6:26027. doi: 10.1038/srep26027.


Accelerated Brain Atrophy on Serial Computed Tomography: Potential Marker of the Progression of Alzheimer Disease.

Bin Zahid A, Mikheev A, Srivatsa N, Babb J, Samadani U, Rusinek H.

J Comput Assist Tomogr. 2016 Sep-Oct;40(5):827-32. doi: 10.1097/RCT.0000000000000435.


Accelerating rates of cognitive decline and imaging markers associated with β-amyloid pathology.

Insel PS, Mattsson N, Mackin RS, Schöll M, Nosheny RL, Tosun D, Donohue MC, Aisen PS, Jagust WJ, Weiner MW; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 May 17;86(20):1887-96. doi: 10.1212/WNL.0000000000002683. Epub 2016 Apr 15.


The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum.

Xu W, Wang HF, Tan L, Tan MS, Tan CC, Zhu XC, Miao D, Yu WJ, Jiang T, Tan L, Yu JT; Alzheimer’s Disease Neuroimaging Initiative Group.

Sci Rep. 2016 Apr 27;6:24480. doi: 10.1038/srep24480.


Lung Adenocarcinoma: Correlation of Quantitative CT Findings with Pathologic Findings.

Ko JP, Suh J, Ibidapo O, Escalon JG, Li J, Pass H, Naidich DP, Crawford B, Tsai EB, Koo CW, Mikheev A, Rusinek H.

Radiology. 2016 Sep;280(3):931-9. doi: 10.1148/radiol.2016142975. Epub 2016 Apr 20.


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