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Items: 1 to 20 of 60

1.

A Comparison of Accelerated and Non-accelerated MRI Scans for Brain Volume and Boundary Shift Integral Measures of Volume Change: Evidence from the ADNI Dataset.

Manning EN, Leung KK, Nicholas JM, Malone IB, Cardoso MJ, Schott JM, Fox NC, Barnes J; Alzheimer’s Disease Neuroimaging Initiative.

Neuroinformatics. 2017 Apr;15(2):215-226. doi: 10.1007/s12021-017-9326-0.

2.

Understanding early dementia: EEG, MRI, SPECT and memory evaluation.

Moretti DV.

Transl Neurosci. 2015 Feb 6;6(1):32-46. doi: 10.1515/tnsci-2015-0005. eCollection 2015.

3.

Test-retest reliability of brain morphology estimates.

Madan CR, Kensinger EA.

Brain Inform. 2017 Jun;4(2):107-121. doi: 10.1007/s40708-016-0060-4. Epub 2017 Jan 5.

4.

Age-related differences in the structural complexity of subcortical and ventricular structures.

Madan CR, Kensinger EA.

Neurobiol Aging. 2017 Feb;50:87-95. doi: 10.1016/j.neurobiolaging.2016.10.023. Epub 2016 Oct 27.

PMID:
27939959
5.

Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths.

Heinen R, Bouvy WH, Mendrik AM, Viergever MA, Biessels GJ, de Bresser J.

PLoS One. 2016 Oct 31;11(10):e0165719. doi: 10.1371/journal.pone.0165719. eCollection 2016.

6.
7.

Neurodevelopmental origins of lifespan changes in brain and cognition.

Walhovd KB, Krogsrud SK, Amlien IK, Bartsch H, Bjørnerud A, Due-Tønnessen P, Grydeland H, Hagler DJ Jr, Håberg AK, Kremen WS, Ferschmann L, Nyberg L, Panizzon MS, Rohani DA, Skranes J, Storsve AB, Sølsnes AE, Tamnes CK, Thompson WK, Reuter C, Dale AM, Fjell AM.

Proc Natl Acad Sci U S A. 2016 Aug 16;113(33):9357-62. doi: 10.1073/pnas.1524259113. Epub 2016 Jul 18.

8.

Linear and Curvilinear Trajectories of Cortical Loss with Advancing Age and Disease Duration in Parkinson's Disease.

Claassen DO, Dobolyi DG, Isaacs DA, Roman OC, Herb J, Wylie SA, Neimat JS, Donahue MJ, Hedera P, Zald DH, Landman BA, Bowman AB, Dawant BM, Rane S.

Aging Dis. 2016 May 27;7(3):220-9. doi: 10.14336/AD.2015.1110. eCollection 2016 May.

9.

Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.

De Guio F, Jouvent E, Biessels GJ, Black SE, Brayne C, Chen C, Cordonnier C, De Leeuw FE, Dichgans M, Doubal F, Duering M, Dufouil C, Duzel E, Fazekas F, Hachinski V, Ikram MA, Linn J, Matthews PM, Mazoyer B, Mok V, Norrving B, O'Brien JT, Pantoni L, Ropele S, Sachdev P, Schmidt R, Seshadri S, Smith EE, Sposato LA, Stephan B, Swartz RH, Tzourio C, van Buchem M, van der Lugt A, van Oostenbrugge R, Vernooij MW, Viswanathan A, Werring D, Wollenweber F, Wardlaw JM, Chabriat H.

J Cereb Blood Flow Metab. 2016 Aug;36(8):1319-37. doi: 10.1177/0271678X16647396. Epub 2016 May 11. Review.

10.

Clashing Diagnostic Approaches: DSM-ICD Versus RDoC.

Lilienfeld SO, Treadway MT.

Annu Rev Clin Psychol. 2016;12:435-63. doi: 10.1146/annurev-clinpsy-021815-093122. Epub 2016 Feb 3. Review.

11.

Reproducibility of Brain Morphometry from Short-Term Repeat Clinical MRI Examinations: A Retrospective Study.

Yang CY, Liu HM, Chen SK, Chen YF, Lee CW, Yeh LR.

PLoS One. 2016 Jan 26;11(1):e0146913. doi: 10.1371/journal.pone.0146913. eCollection 2016.

12.

Alterations of the cerebral cortex in sporadic small vessel disease: A systematic review of in vivo MRI data.

Peres R, De Guio F, Chabriat H, Jouvent E.

J Cereb Blood Flow Metab. 2016 Apr;36(4):681-95. doi: 10.1177/0271678X15625352. Epub 2016 Jan 19. Review.

13.

Heritability and reliability of automatically segmented human hippocampal formation subregions.

Whelan CD, Hibar DP, van Velzen LS, Zannas AS, Carrillo-Roa T, McMahon K, Prasad G, Kelly S, Faskowitz J, deZubiracay G, Iglesias JE, van Erp TG, Frodl T, Martin NG, Wright MJ, Jahanshad N, Schmaal L, Sämann PG, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2016 Mar;128:125-37. doi: 10.1016/j.neuroimage.2015.12.039. Epub 2015 Dec 30.

14.

Association of EEG, MRI, and regional blood flow biomarkers is predictive of prodromal Alzheimer's disease.

Moretti DV.

Neuropsychiatr Dis Treat. 2015 Oct 27;11:2779-91. doi: 10.2147/NDT.S93253. eCollection 2015.

15.

Development and aging of cortical thickness correspond to genetic organization patterns.

Fjell AM, Grydeland H, Krogsrud SK, Amlien I, Rohani DA, Ferschmann L, Storsve AB, Tamnes CK, Sala-Llonch R, Due-Tønnessen P, Bjørnerud A, Sølsnes AE, Håberg AK, Skranes J, Bartsch H, Chen CH, Thompson WK, Panizzon MS, Kremen WS, Dale AM, Walhovd KB.

Proc Natl Acad Sci U S A. 2015 Dec 15;112(50):15462-7. doi: 10.1073/pnas.1508831112. Epub 2015 Nov 2.

16.

A comparison of FreeSurfer-generated data with and without manual intervention.

McCarthy CS, Ramprashad A, Thompson C, Botti JA, Coman IL, Kates WR.

Front Neurosci. 2015 Oct 21;9:379. doi: 10.3389/fnins.2015.00379. eCollection 2015.

17.

Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance.

McGugin RW, Van Gulick AE, Gauthier I.

J Cogn Neurosci. 2016 Feb;28(2):282-94. doi: 10.1162/jocn_a_00891. Epub 2015 Oct 6.

19.

Preliminary analysis using multi-atlas labeling algorithms for tracing longitudinal change.

Kim RE, Lourens S, Long JD, Paulsen JS, Johnson HJ.

Front Neurosci. 2015 Jul 14;9:242. doi: 10.3389/fnins.2015.00242. eCollection 2015.

20.

Mild Cognitive Impairment: Structural, Metabolical, and Neurophysiological Evidence of a Novel EEG Biomarker.

Moretti DV.

Front Neurol. 2015 Jul 6;6:152. doi: 10.3389/fneur.2015.00152. eCollection 2015. Review.

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