Amnestik hafif kognitif bozuklukta beyaz cevher değişiklikleri: yolak tabanlı uzamsal istatistik çalışması
Year 2022,
, 267 - 274, 27.01.2023
Berrin Çavuşoğlu
,
Emel Ada
,
Derya Durusu Emek Savaş
,
Görsev Yener
Abstract
Amaç: Alzheimer Hastalığı’na geçiş durumu olan amnestik hafif kognitif bozukluğu (HKB) olan olgular ile sağlıklı yaşlı kontroller arasındaki beyaz cevher yapısal değişikliklerini karşılaştırmaktır.
Gereç ve Yöntem: Bu retrospektif çalışmada, 20 amnestik HKB ile yaş, cinsiyet ve eğitim açısından HKB grubu ile eşleştirilmiş 20 sağlıklı kontrol grubunun 2011-2016 arasındaki difüzyon tensör görüntüleme (DTG) taramaları incelendi. Beyaz cevher yapısal bütünlüğü, iki grup arasındaki fraksiyonel anizotropide (FA) voksel bazlı farklılıklar için yolak tabanlı uzamsal istatistik (TBSS) kullanılarak analiz edildi.
Bulgular: Forseps minör, korpus kallozumun genu ve gövdesi, sağ anterior talamik radyasyon, sağ singulum, sağ inferior fronto oksipital fasikül, sağ superior longitudinal fasikül ve sağ üst korona radiatada FA değerleri kontrol grubuna göre HKB grubunda istatistiksel olarak düşük bulundu.
Sonuç: TBSS analizi, yapısal beyaz cevher bütünlüğünü incelemek için umut verici bir yöntemdir. Bu bulgular, DTG ölçümlerinin Alzheimer'daki klinik öncesi değişikliklerin saptanması için yararlı olabileceğini düşündürdü.
References
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- Defrancesco M, Egger K, Marksteiner J, Esterhammer R, Hinterhuber H, Deisenhammer EA, et al. Changes in White Matter Integrity before Conversion from Mild Cognitive Impairment to Alzheimer’s Disease. PLoS One, 2014;9:e106062.
- Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement, 2011;7:270-9.
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- Smith SM, Nichols TE. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 2009;44:83-98.
- Wakana S, Jiang H, Nagae-Poetscher LM, van Zijl PC, Mori S. Fiber tract-based atlas of human white matter anatomy. Radiology, 2004;230:77-87.
- Bosch B, Arenaza-Urquijo EM, Rami L, Sala-Llonch R, Junqué C, Solé-Padullés C, et al. Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging, 2012;33:61-74.
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- Di Paola M, Di Iulio F, Cherubini A, Blundo C, Casini AR, Sancesario G, et al. When, where, and how the corpus callosum changes in MCI and AD: a multimodal MRI study. Neurology, 2010;74:1136-42.
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- Damoiseaux JS, Smith SM, Witter MP, Sanz-Arigita EJ, Barkhof F, Scheltens P, et al. White Matter Tract Integrity in Aging and Alzheimer’s Disease. Hum Brain Mapp, 2009;30:1051-9.
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- Lim HK, Kim SJ, Choi CG, JH Lee, Kim SY, Kimet HJ, al. Evaluation of White Matter Abnormality in Mild Alzheimer Disease and Mild Cognitive Impairment Using Diffusion Tensor Imaging: A Comparison of Tract-Based Spatial Statistics with Voxel-Based Morphometry. Journal of the Korean Society of Magnetic Resonance in Medicine, 2012; 16(2): 115-23.
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- Nir TM, Jahanshad N, Villalon-Reina JE, Toga AW, Jack CR, Weiner MW, et al. Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging. Neuroimage Clin, 2013;3:180-95.
- Rowley J, Fonov V, Wu O, Eskildsen SF, Schoemaker D, Wu L, et al. White matter abnormalities and structural hippocampal disconnections in amnestic mild cognitive impairment and Alzheimer's disease. PLoS One, 2013;8:e74776.
- O'Dwyer L, Lamberton F, Bokde ALW, Ewers M, Faluyi YO, Tanner C, et al. Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease. PLoS One, 2011;6:e21745.
- Liu J, Yin C, Xia S, Jia L, Guo Y, Zhao Z, et al. White matter changes in patients with amnestic mild cognitive impairment detected by diffusion tensor imaging. PLoS One, 2013;8:e59440.
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- Wai YY, Hsu WC, Fung HC, Lee JD, Chan HL, Tsai ML, et al. Tract-based spatial statistics: application to mild cognitive impairment. Biomed Res Int, 2014;2014:713079.
- Wang Y, West JD, Flashman LA, Wishart HA, Santulli RB, Rabin LA, et al. Selective changes in white matter integrity in MCI and older adults with cognitive complaints. Biochim Biophys Acta, 2012;1822:423-30.
- Dubois B, Feldman HH, Jacova C, Dekosky ST, Barberger-Gateau P, Cummings J, et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS ADRDA criteria. Lancet Neurol, 2007;6:734-46.
- Haller S, Nguyen D, Rodriguez C, Emch J, Gold G, Bartsch A, et al. Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis, 2010;22:315-27.
- Reisberg B, Franssen EH, Souren LEM, Auer SR, Akram I, Kenowsky S. Evidence and mechanisms of retrogenesis in Alzheimer's and other dementias: management and treatment import. Am J Alzheimers Dis Other Demen, 2002;17(4):202-12.
- Nasrabady SE, Rizvi B, Goldman JE, Brickman AM. White matter changes in Alzheimer’s disease: a focus on myelin and oligodendrocytes. Acta Neuropathol Commun, 2018;6:22.
- Qi Z, Wu X, Wang Z, Zhang N, Dong H, Yao L, et al. Impairment and compensation coexist in amnestic MCI default mode network. Neuroimage, 2010;50:48-55.
- Rombouts SA, Barkhof F, Goekoop R, Stam CJ, Scheltens P. Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: an fMRI study. Human Brain Mapping, 2005;26:231-9.
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- Wang CL, Pan Y, Liu YM, Xu K, Hao LX, Huang F, et al. Aberrant default mode network in amnestic mild cognitive impairment: a meta-analysis of independent component analysis studies. Neurol Sci., 2018;39(5):919-31.
White matter alterations in amnestic mild cognitive impairment: a tract-based spatial statistics study
Year 2022,
, 267 - 274, 27.01.2023
Berrin Çavuşoğlu
,
Emel Ada
,
Derya Durusu Emek Savaş
,
Görsev Yener
Abstract
Purpose: To compare white matter (WM) structural alterations between the subjects with amnestic mild cognitive impairment (MCI) which is a transitional state to Alzheimer's Disease (AD) and healthy elderly controls.
Methods: Diffusion tensor imaging (DTI) scans of 20 subjects with amnestic MCI and 20 healthy control groups who are matched by age, gender, and education with the MCI group between 2011 and 2016 were examined by in this retrospective study. WM structural integrity was analyzed using tract based spatial statistics (TBSS) for voxel-based differences in fractional anisotropy (FA) between the two groups.
Results: Fractional anisotropy was found significantly lower in the forceps minor, the body and genu of the corpus callosum, the right anterior thalamic radiation, the right cingulum, the right inferior fronto-occipital fasciculus, the right superior longitudinal fasciculus, and the right superior corona radiata in the MCI group than the control group.
Conclusion: TBSS analysis is a promising method to examine structural WM integrity. These findings suggested that the DTI measurements may be useful for the detection of preclinical changes in AD.
References
- Singh SK, Srivastav S, Yadav AK, Srikrishna S, Perry G. Overview of Alzheimer's Disease and Some Therapeutic Approaches Targeting Aβ by Using Several Synthetic and Herbal Compounds. Oxid Med Cell Longev, 2016;2016:7361613.
- Defrancesco M, Egger K, Marksteiner J, Esterhammer R, Hinterhuber H, Deisenhammer EA, et al. Changes in White Matter Integrity before Conversion from Mild Cognitive Impairment to Alzheimer’s Disease. PLoS One, 2014;9:e106062.
- Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, et al. The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement, 2011;7:270-9.
- Clark CM, Pontecorvo MJ, Beach TG, Bedell BJ, Coleman RE, Doraiswamy PM, et al. Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: a prospective cohort study. Lancet Neurol, 2012;11:669-78.
- 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 Topogr, 2013;26:9-23.
- Morris JK, Honea RA, Vidoni ED, Swerdlow RH, Burns JM. Is Alzheimer's disease a systemic disease? Biochim Biophys Acta, 2014;1842:1340-9.
- Shu N, Wang Z, Qi Z, Li K, He Y. Multiple diffusion indices reveals white matter degeneration in Alzheimer's disease and mild cognitive impairment: a tract-based spatial statistics study. J Alzheimers Dis, 2011;26:275-85.
- Agosta F, Pievani M, Sala S, Geroldi C, Galluzzi S, Frisoni GB, et al. White matter damage in Alzheimer disease and its relationship to gray matter atrophy. Radiology, 2011;258:853-63.
- Folstein MF, Folstein SE, McHugh PR. ‘‘Mini-mental state”: A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res, 1975;12(3):189-98.
- Morris J. The clinical dementia rating (CDR): current version and scoring rules. Neurology, 1993;43:2412-4.
- Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, et al. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 2006;31:1487-505.
- Nichols TE, Holmes AP. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Human Brain Mapping, 2002;15:1-25.
- Smith SM, Nichols TE. Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference. NeuroImage, 2009;44:83-98.
- Wakana S, Jiang H, Nagae-Poetscher LM, van Zijl PC, Mori S. Fiber tract-based atlas of human white matter anatomy. Radiology, 2004;230:77-87.
- Bosch B, Arenaza-Urquijo EM, Rami L, Sala-Llonch R, Junqué C, Solé-Padullés C, et al. Multiple DTI index analysis in normal aging, amnestic MCI and AD. Relationship with neuropsychological performance. Neurobiol Aging, 2012;33:61-74.
- Sexton CE, Kalu UG, Filippini N, Mackay CE, Ebmeier KP. A meta-analysis of diffusion tensor imaging in mild cognitive impairment and Alzheimer's disease. Neurobiol Aging, 2011;32:2322.
- Di Paola M, Di Iulio F, Cherubini A, Blundo C, Casini AR, Sancesario G, et al. When, where, and how the corpus callosum changes in MCI and AD: a multimodal MRI study. Neurology, 2010;74:1136-42.
- Liu PP, Xie Y, Meng XY, Kang JS. History and progress of hypotheses and clinical trials for Alzheimer's disease. Signal Transduct Target Ther, 2019;4:29.
- Damoiseaux JS, Smith SM, Witter MP, Sanz-Arigita EJ, Barkhof F, Scheltens P, et al. White Matter Tract Integrity in Aging and Alzheimer’s Disease. Hum Brain Mapp, 2009;30:1051-9.
- Douaud G, Jbabdi S, Behrens TEJ, Menke RA, Gass A, Monsch AU, et al. DTI measures in crossing-fibre areas: increased diffusion anisotropy reveals early white matter alteration in MCI and mild Alzheimer's disease. Neuroimage, 2011;55:880-90.
- Lim HK, Kim SJ, Choi CG, JH Lee, Kim SY, Kimet HJ, al. Evaluation of White Matter Abnormality in Mild Alzheimer Disease and Mild Cognitive Impairment Using Diffusion Tensor Imaging: A Comparison of Tract-Based Spatial Statistics with Voxel-Based Morphometry. Journal of the Korean Society of Magnetic Resonance in Medicine, 2012; 16(2): 115-23.
- Liu Y, Spulber G, Lehtimäki KK, Könönen M, Hallikainen I, Gröhn H, et al. Diffusion tensor imaging and tract-based spatial statistics in Alzheimer’s disease and mild cognitive impairment. Neurobiol Aging, 2011;32:1558-71.
- Nir TM, Jahanshad N, Villalon-Reina JE, Toga AW, Jack CR, Weiner MW, et al. Effectiveness of regional DTI measures in distinguishing Alzheimer's disease, MCI, and normal aging. Neuroimage Clin, 2013;3:180-95.
- Rowley J, Fonov V, Wu O, Eskildsen SF, Schoemaker D, Wu L, et al. White matter abnormalities and structural hippocampal disconnections in amnestic mild cognitive impairment and Alzheimer's disease. PLoS One, 2013;8:e74776.
- O'Dwyer L, Lamberton F, Bokde ALW, Ewers M, Faluyi YO, Tanner C, et al. Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease. PLoS One, 2011;6:e21745.
- Liu J, Yin C, Xia S, Jia L, Guo Y, Zhao Z, et al. White matter changes in patients with amnestic mild cognitive impairment detected by diffusion tensor imaging. PLoS One, 2013;8:e59440.
- Zhuang L, Wen W, Zhu W, Trollor J, Kochan N, Crawford J, et al. White matter integrity in mild cognitive impairment: a tract-based spatial statistics study. Neuroimage, 2010;53:16-25.
- Wai YY, Hsu WC, Fung HC, Lee JD, Chan HL, Tsai ML, et al. Tract-based spatial statistics: application to mild cognitive impairment. Biomed Res Int, 2014;2014:713079.
- Wang Y, West JD, Flashman LA, Wishart HA, Santulli RB, Rabin LA, et al. Selective changes in white matter integrity in MCI and older adults with cognitive complaints. Biochim Biophys Acta, 2012;1822:423-30.
- Dubois B, Feldman HH, Jacova C, Dekosky ST, Barberger-Gateau P, Cummings J, et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS ADRDA criteria. Lancet Neurol, 2007;6:734-46.
- Haller S, Nguyen D, Rodriguez C, Emch J, Gold G, Bartsch A, et al. Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data. J Alzheimers Dis, 2010;22:315-27.
- Reisberg B, Franssen EH, Souren LEM, Auer SR, Akram I, Kenowsky S. Evidence and mechanisms of retrogenesis in Alzheimer's and other dementias: management and treatment import. Am J Alzheimers Dis Other Demen, 2002;17(4):202-12.
- Nasrabady SE, Rizvi B, Goldman JE, Brickman AM. White matter changes in Alzheimer’s disease: a focus on myelin and oligodendrocytes. Acta Neuropathol Commun, 2018;6:22.
- Qi Z, Wu X, Wang Z, Zhang N, Dong H, Yao L, et al. Impairment and compensation coexist in amnestic MCI default mode network. Neuroimage, 2010;50:48-55.
- Rombouts SA, Barkhof F, Goekoop R, Stam CJ, Scheltens P. Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: an fMRI study. Human Brain Mapping, 2005;26:231-9.
- Garcés P, Pineda-Pardo JA, Canuet L, Aurtenetxe S, López ME, Marcos A, et al. The Default Mode Network is functionally and structurally disrupted in amnestic mild cognitive impairment - a bimodal MEG-DTI study. Neuroimage Clin., 2014;6:214-21.
- Wang CL, Pan Y, Liu YM, Xu K, Hao LX, Huang F, et al. Aberrant default mode network in amnestic mild cognitive impairment: a meta-analysis of independent component analysis studies. Neurol Sci., 2018;39(5):919-31.