Fox NC, Schott JM: Imaging cerebral atrophy: normal ageing to Alzheimer's disease. The Lancet. 2004, 363 (9406): 392-394. 10.1016/S0140-6736(04)15441-X.
Article
Google Scholar
Ridha BH, Barnes J, Bartlett JW, Godbolt A, Pepple T, Rossor MN, Fox NC: Tracking atrophy progression in familial Alzheimer's disease: a serial MRI study. The Lancet Neurology. 2006, 5 (10): 828-834. 10.1016/S1474-4422(06)70550-6.
Article
PubMed
Google Scholar
Zhou Q, Goryawala M, Cabrerizo M, Barker W, Duara R, Adjouadi M: Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer's Disease. The Scientific World Journal. 2014, 2014:
Google Scholar
Westman E, Aguilar C, Muehlboeck JS, Simmons A: Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer's disease and mild cognitive impairment. Brain Topography. 2013, 26 (1): 9-23. 10.1007/s10548-012-0246-x.
Article
PubMed Central
PubMed
Google Scholar
Jack CR, Knopman DS, Weigand SD, Wiste HJ, Vemuri P, Lowe V, Kantarci K, Gunter JL, Senjem ML, Ivnik RJ: An operational approach to National Institute on Aging-Alzheimer's Association criteria for preclinical Alzheimer disease. Annals of neurology. 2012, 71 (6): 765-775. 10.1002/ana.22628.
Article
PubMed Central
PubMed
Google Scholar
Jack CR, Knopman DS, Jagust WJ, Petersen RC, Weiner MW, Aisen PS, Shaw LM, Vemuri P, Wiste HJ, Weigand SD: Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. The Lancet Neurology. 2013, 12 (2): 207-216. 10.1016/S1474-4422(12)70291-0.
Article
PubMed Central
CAS
PubMed
Google Scholar
Eritaia J, Wood SJ, Stuart GW, Bridle N, Dudgeon P, Maruff P, Velakoulis D, Pantelis C: An optimized method for estimating intracranial volume from magnetic resonance images. Magnetic Resonance in Medicine. 2000, 44 (6): 973-977. 10.1002/1522-2594(200012)44:6<973::AID-MRM21>3.0.CO;2-H.
Article
CAS
PubMed
Google Scholar
Ehrlich S, Morrow EM, Roffman JL, Wallace SR, Naylor M, Bockholt HJ, Lundquist A, Yendiki A, Ho B-C, White T: The COMT Val108/158Met polymorphism and medial temporal lobe volumetry in patients with schizophrenia and healthy adults. Neuroimage. 2010, 53 (3): 992-1000. 10.1016/j.neuroimage.2009.12.046.
Article
PubMed Central
CAS
PubMed
Google Scholar
Kochan NA, Breakspear M, Valenzuela M, Slavin MJ, Brodaty H, Wen W, Trollor JN, Turner A, Crawford JD, Sachdev PS: Cortical responses to a graded working memory challenge predict functional decline in mild cognitive impairment. Biological psychiatry. 2011, 70 (2): 123-130. 10.1016/j.biopsych.2011.03.006.
Article
PubMed
Google Scholar
Groves AR, Smith SM, Fjell AM, Tamnes CK, Walhovd KB, Douaud G, Woolrich MW, Westlye LT: Benefits of multi-modal fusion analysis on a large-scale dataset: life-span patterns of inter-subject variability in cortical morphometry and white matter microstructure. Neuroimage. 2012
Google Scholar
Garibotto V, Borroni B, Agosti C, Premi E, Alberici A, Eickhoff SB, Brambati SM, Bellelli G, Gasparotti R, Perani D: Subcortical and deep cortical atrophy in frontotemporal lobar degeneration. Neurobiology of aging. 2011, 32 (5): 875-884. 10.1016/j.neurobiolaging.2009.05.004.
Article
PubMed
Google Scholar
Graca AM, Cardoso KRV, da Costa JMFP, Cowan FM: Cerebral volume at term age: Comparison between preterm and term-born infants using cranial ultrasound. Early human development. 2013
Google Scholar
Ritvanen AG, de Oliveira ME, Koivikko MP, Hallila HO, Haaja JK, Koljonen VS, Leikola JP, Hukki JJ, Paulasto-Kröckel MM: Mesh-based method for measuring intracranial volume in patients with craniosynostosis. International journal of computer assisted radiology and surgery. 2013, 1-7.
Google Scholar
Sonmez OF, Temel Y, Visser-Vandewalle V, Sahin B, Odacı E: A new evaluation method for the intracranial volume changes and subdural effusion of patients following endoscopic third ventriculostomy. Clinical neurology and neurosurgery. 2013, 115 (2): 160-164. 10.1016/j.clineuro.2012.04.023.
Article
PubMed
Google Scholar
Ikram MA, Fornage M, Smith AV, Seshadri S, Schmidt R, Debette S, Vrooman HA, Sigurdsson S, Ropele S, Taal HR: Common variants at 6q22 and 17q21 are associated with intracranial volume. Nature genetics. 2012, 44 (5): 539-10.1038/ng.2245.
Article
PubMed Central
CAS
PubMed
Google Scholar
Lampert EJ, Choudhury KR, Hostage CA, Petrella JR, Doraiswamy PM: Prevalence of Alzheimer's Pathologic Endophenotypes in Asymptomatic and Mildly Impaired First-Degree Relatives. PloS one. 2013, 8 (4): e60747-10.1371/journal.pone.0060747.
Article
PubMed Central
CAS
PubMed
Google Scholar
Dukart J, Mueller K, Villringer A, Kherif F, Draganski B, Frackowiak R, Schroeter ML: Relationship between Imaging Biomarkers, Age, Progression and Symptom Severity in Alzheimer's Disease. NeuroImage: Clinical. 2013
Google Scholar
Piguet O, Petersén Å, Yin Ka Lam B, Gabery S, Murphy K, Hodges JR, Halliday GM: Eating and hypothalamus changes in behavioral-variant frontotemporal dementia. Annals of neurology. 2011, 69 (2): 312-319. 10.1002/ana.22244.
Article
PubMed Central
PubMed
Google Scholar
Fennema-Notestine C, Hagler DJ, McEvoy LK, Fleisher AS, Wu EH, Karow DS, Dale AM: Structural MRI biomarkers for preclinical and mild Alzheimer's disease. Human brain mapping. 2009, 30 (10): 3238-3253. 10.1002/hbm.20744.
Article
PubMed Central
PubMed
Google Scholar
Noei S, Sargolzaei S, Ramezanpour H, Sargolzaei A: Fuzzy-Cellular Automata Method for Noise Cancelation of Satellite and Radar Images and Maps. International Journal of Emerging Technology and Advanced Engineering, ISSN. 2012, 2250-2459.
Google Scholar
Trivedi MA, Stoub TR, Murphy CM, George S, Shah RC, Whitfield-Gabrieli S, Gabrieli JD, Stebbins GT: Entorhinal cortex volume is associated with episodic memory related brain activation in normal aging and amnesic mild cognitive impairment. Brain Imaging and Behavior. 2011, 5 (2): 126-136. 10.1007/s11682-011-9117-4.
Article
PubMed Central
PubMed
Google Scholar
Szentkuti A, Guderian S, Schiltz K, Münte TF, Heinze H-J, Düzel E: Quantitative MR analyses of the hippocampus: unspecific metabolic changes in aging. Journal of neurology. 2004, 251 (11): 1345-1353. 10.1007/s00415-004-0540-y.
Article
PubMed
Google Scholar
Cardenas VA, Chao LL, Blumenfeld R, Song E, Meyerhoff DJ, Weiner MW, Studholme C: Using automated morphometry to detect associations between ERP latency and structural brain MRI in normal adults. Human brain mapping. 2005, 25 (3): 317-327. 10.1002/hbm.20103.
Article
PubMed Central
PubMed
Google Scholar
Peper JS, Schnack HG, Brouwer RM, Van Baal GCM, Pjetri E, Szekely E, Van Leeuwen M, Van Den Berg SM, Collins DL, Evans AC: Heritability of regional and global brain structure at the onset of puberty: A magnetic resonance imaging study in 9-year-old twin pairs. Human brain mapping. 2009, 30 (7): 2184-2196. 10.1002/hbm.20660.
Article
PubMed
Google Scholar
Roussotte FF, Sulik KK, Mattson SN, Riley EP, Jones KL, Adnams CM, May PA, O'Connor MJ, Narr KL, Sowell ER: Regional brain volume reductions relate to facial dysmorphology and neurocognitive function in fetal alcohol spectrum disorders. Human brain mapping. 2012, 33 (4): 920-937. 10.1002/hbm.21260.
Article
PubMed
Google Scholar
Taki Y, Thyreau B, Kinomura S, Sato K, Goto R, Wu K, Kawashima R, Fukuda H: A longitudinal study of the relationship between personality traits and the annual rate of volume changes in regional gray matter in healthy adults. Human brain mapping. 2013, 34 (12): 3347-3353. 10.1002/hbm.22145.
Article
PubMed
Google Scholar
Pa J, Boxer A, Chao LL, Gazzaley A, Freeman K, Kramer J, Miller BL, Weiner MW, Neuhaus J, Johnson JK: Clinical-neuroimaging characteristics of dysexecutive mild cognitive impairment. Annals of neurology. 2009, 65 (4): 414-423. 10.1002/ana.21591.
Article
PubMed Central
PubMed
Google Scholar
Thambisetty M, An Y, Kinsey A, Koka D, Saleem M, Gϋntert A, Kraut M, Ferrucci L, Davatzikos C, Lovestone S: Plasma clusterin concentration is associated with longitudinal brain atrophy in mild cognitive impairment. Neuroimage. 2012, 59 (1): 212-217. 10.1016/j.neuroimage.2011.07.056.
Article
PubMed Central
CAS
PubMed
Google Scholar
Cullen KR, Wallace S, Magnotta VA, Bockholt J, Ehrlich S, Gollub RL, Manoach DS, Ho BC, Clark VP, Lauriello J: Cigarette smoking and white matter microstructure in schizophrenia. Psychiatry Research: Neuroimaging. 2012, 201 (2): 152-158. 10.1016/j.pscychresns.2011.08.010.
Article
PubMed Central
PubMed
Google Scholar
Sargolzaei S, Cabrerizo M, Goryawala M, Eddin AS, Adjouadi M: Scalp EEG brain functional connectivity networks in pediatric epilepsy. Computers in biology and medicine.
Gong G, Alexander RP, Shi F, Beaulieu C, Gross DW: Isolated febrile seizures are not associated with structural abnormalities of the limbic system. Epilepsy research. 2012
Google Scholar
Eddin AS, Wang J, Wu W, Sargolzaei S, Bjornson B, Jones RA, Gaillard WD, Adjouadi M: The effects of pediatric epilepsy on a language connectome. Human brain mapping. 2014
Google Scholar
Sargolzaei S, Cabrerizo M, Goryawala M, Eddin AS, Adjouadi M: Center for Advanced Technology and Education (CATE), Department of Electrical and Computer Engineering, Florida International University, Miami, USA. Signal Processing in Medicine and Biology Symposium (SPMB), 2013 IEEE. 2013, 1-4.
Chapter
Google Scholar
Sargolzaei S, Eddin AS, Cabrerizo M, Adjouadi M: Resting state functional connectivity based on principal component transformation of cortical fMRI measurements. Neural Engineering (NER). 2013, 1501-1504. 6th International IEEE/EMBS Conference on: 2013 IEEE
Google Scholar
Eddin AS, Wang J, Sargolzaei S, Gaillard WD, Adjouadi M: ICA-based connectivity on brain networks using fMRI. Neural Engineering (NER). 2013, 391-394. 6th International IEEE/EMBS Conference on: 2013 IEEE
Google Scholar
Wang Z, Guo L, Adjouadi M: A Generalized leaky integrate-and-fire neuron model with fast implementation method. International journal of neural systems. 2014
Google Scholar
Chee MWL, Zheng H, Goh JOS, Park D, Sutton BP: Brain structure in young and old East Asians and Westerners: comparisons of structural volume and cortical thickness. Journal of Cognitive Neuroscience. 2011, 23 (5): 1065-1079. 10.1162/jocn.2010.21513.
Article
PubMed Central
PubMed
Google Scholar
Dale AM, Fischl B, Sereno MI: Cortical surface-based analysis: I. Segmentation and surface reconstruction. Neuroimage. 1999, 9 (2): 179-194. 10.1006/nimg.1998.0395.
Article
CAS
PubMed
Google Scholar
Jenkinson M, Beckmann CF, Behrens TE, Woolrich MW, Smith SM: Fsl. Neuroimage. 2012, 62 (2): 782-790. 10.1016/j.neuroimage.2011.09.015.
Article
PubMed
Google Scholar
Ashburner J, Friston KJ: Unified segmentation. Neuroimage. 2005, 26 (3): 839-851. 10.1016/j.neuroimage.2005.02.018.
Article
PubMed
Google Scholar
Sargolzaei S, Goryawala M, Cabrerizo M, Chen G, Jayakar P, Duara R, Barker W, Adjouadi M: Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation. Engineering in Medicine and Biology Society (EMBC). 2014, 2342-2345. 36th Annual International Conference of the IEEE: 2014 IEEE
Google Scholar
Pengas G, Pereira J, Williams GB, Nestor PJ: Comparative reliability of total intracranial volume estimation methods and the influence of atrophy in a longitudinal semantic dementia cohort. Journal of Neuroimaging. 2009, 19 (1): 37-46. 10.1111/j.1552-6569.2008.00246.x.
Article
PubMed
Google Scholar
Nordenskjöld R, Malmberg F, Larsson E-M, Simmons A, Brooks SJ, Lind L, Ahlström H, Johansson L, Kullberg J: Intracranial volume estimated with commonly used methods could introduce bias in studies including brain volume measurements. Neuroimage. 2013
Google Scholar
Keihaninejad S, Heckemann RA, Fagiolo G, Symms MR, Hajnal JV, Hammers A: A robust method to estimate the intracranial volume across MRI field strengths (1.5 T and 3T). Neuroimage. 2010, 50 (4): 1427-1437. 10.1016/j.neuroimage.2010.01.064.
Article
PubMed Central
PubMed
Google Scholar
Ridgway G, Barnes J, Pepple T, Fox N: Estimation of total intracranial volume; a comparison of methods. Alzheimer's and Dementia. 2011, 7 (4): S62-S63.
Article
Google Scholar
Folstein MF, Folstein SE, McHugh PR: "Mini-mental state": a practical method for grading the cognitive state of patients for the clinician. Journal of psychiatric research. 1975, 12 (3): 189-198. 10.1016/0022-3956(75)90026-6.
Article
CAS
PubMed
Google Scholar
Duara R, Loewenstein DA, Greig M, Acevedo A, Potter E, Appel J, Raj A, Schinka J, Schofield E, Barker W: Reliability and validity of an algorithm for the diagnosis of normal cognition, mild cognitive impairment, and dementia: implications for multicenter research studies. The American Journal of Geriatric Psychiatry. 2010, 18 (4): 363-370. 10.1097/JGP.0b013e3181c534a0.
Article
PubMed Central
PubMed
Google Scholar
Cox RW: AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical research. 1996, 29 (3): 162-173. 10.1006/cbmr.1996.0014.
Article
CAS
PubMed
Google Scholar
Buckner RL: A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage. 2004, 23 (2): 724-738. 10.1016/j.neuroimage.2004.06.018.
Article
PubMed
Google Scholar
Jenkinson M, Pechaud M, Smith S: BET2: MR-based estimation of brain, skull and scalp surfaces. Eleventh annual meeting of the organization for human brain mapping. 2005
Google Scholar
Ashburner J, Friston KJ: Voxel-based morphometry--the methods. Neuroimage. 2000, 11 (6): 805-821. 10.1006/nimg.2000.0582.
Article
CAS
PubMed
Google Scholar
Bendel P, Koivisto T, Äikiä M, Niskanen E, Könönen M, Hänninen T, Vanninen R: Atrophic enlargement of CSF volume after subarachnoid hemorrhage: correlation with neuropsychological outcome. American Journal of Neuroradiology. 2010, 31 (2): 370-376. 10.3174/ajnr.A1804.
Article
CAS
PubMed
Google Scholar
Team RC: R: A language and environment for statistical computing. 2012
Google Scholar
Heckemann RA, Keihaninejad S, Aljabar P, Gray KR, Nielsen C, Rueckert D, Hajnal JV, Hammers A: Automatic morphometry in Alzheimer's disease and mild cognitive impairment. Neuroimage. 2011, 56 (4): 2024-2037. 10.1016/j.neuroimage.2011.03.014.
Article
PubMed Central
PubMed
Google Scholar