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1

Tian, Yin, Shanshan Liang, Zhen Yuan, Sifan Chen, Peng Xu, and Dezhong Yao. "White matter structure in loneliness." NeuroReport 25, no. 11 (2014): 843–47. http://dx.doi.org/10.1097/wnr.0000000000000197.

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2

Li, Zhengjie, Jiajun Liu, Jianhui Zheng, Luying Li, Ying Fu, and Zhipeng Yang. "White Matter-Gray Matter Correlation Analysis Based on White Matter Functional Gradient." Brain Sciences 15, no. 1 (2024): 26. https://doi.org/10.3390/brainsci15010026.

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Анотація:
Background: The spontaneous fluctuations in functional magnetic resonance imaging (fMRI) signals of the brain’s gray matter (GM) have been interpreted as representations of neural activity variations. In previous research, white matter (WM) signals, often considered noise, have also been demonstrated to reflect characteristics of functional activity and interactions among different brain regions. Recently, functional gradients have gained significant attention due to their success in characterizing the functional organization of the whole brain. However, previous studies on brain functional gr
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3

Mizobe, Taro, Keisuke Ikari, Hirofumi Tomiyama, et al. "Abnormal white matter structure in hoarding disorder." Journal of Psychiatric Research 148 (April 2022): 1–8. http://dx.doi.org/10.1016/j.jpsychires.2022.01.031.

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4

Nowicki, Kamil W., and Raymond F. Sekula. "Pericytes Protect White-Matter Structure and Function." Neurosurgery 83, no. 3 (2018): E103—E104. http://dx.doi.org/10.1093/neuros/nyy300.

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5

Yushkevich, Paul A., Hui Zhang, Tony J. Simon, and James C. Gee. "Structure-specific statistical mapping of white matter tracts." NeuroImage 41, no. 2 (2008): 448–61. http://dx.doi.org/10.1016/j.neuroimage.2008.01.013.

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6

Johnson, Joseph F., Michael Schwartze, Michel Belyk, Ana P. Pinheiro, and Sonja A. Kotz. "Variability in white matter structure relates to hallucination proneness." NeuroImage: Clinical 43 (2024): 103643. http://dx.doi.org/10.1016/j.nicl.2024.103643.

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7

Darki, Fahimeh, Satu Massinen, Elina Salmela, et al. "Human ROBO1 regulates white matter structure in corpus callosum." Brain Structure and Function 222, no. 2 (2016): 707–16. http://dx.doi.org/10.1007/s00429-016-1240-y.

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8

Yund, Brianna, Kyle Rudser, Victor Kovac, et al. "White matter structure and function in attenuated MPS II." Molecular Genetics and Metabolism 111, no. 2 (2014): S116—S117. http://dx.doi.org/10.1016/j.ymgme.2013.12.292.

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9

Guitart-Masip, Marc, Zeb Kurth-Nelson, Jan Axelsson, et al. "Microscopic Structure of Frontal White Matter Predict Delay Discounting." Biological Psychiatry 87, no. 9 (2020): S197. http://dx.doi.org/10.1016/j.biopsych.2020.02.513.

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10

Schlegel, Alexander A., Justin J. Rudelson, and Peter U. Tse. "White Matter Structure Changes as Adults Learn a Second Language." Journal of Cognitive Neuroscience 24, no. 8 (2012): 1664–70. http://dx.doi.org/10.1162/jocn_a_00240.

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Анотація:
Traditional models hold that the plastic reorganization of brain structures occurs mainly during childhood and adolescence, leaving adults with limited means to learn new knowledge and skills. Research within the last decade has begun to overturn this belief, documenting changes in the brain's gray and white matter as healthy adults learn simple motor and cognitive skills [Lövdén, M., Bodammer, N. C., Kühn, S., Kaufmann, J., Schütze, H., Tempelmann, C., et al. Experience-dependent plasticity of white-matter microstructure extends into old age. Neuropsychologia, 48, 3878–3883, 2010; Taubert, M.
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11

Haltia, Lauri T., Antti Viljanen, Riitta Parkkola, et al. "Brain White Matter Expansion in Human Obesity and the Recovering Effect of Dieting." Journal of Clinical Endocrinology & Metabolism 92, no. 8 (2007): 3278–84. http://dx.doi.org/10.1210/jc.2006-2495.

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Abstract Context and Objective: Obesity is associated with several metabolic abnormalities. Recent studies suggest that obesity also affects brain function and is a risk factor for some degenerative brain diseases. The objective of this study was to examine the effects of weight gain and weight loss on brain gray and white matter structure. We hypothesized that possible differences seen in the brains of obese subjects would disappear or diminish after an intensive dieting period. Methods: In part I of the study, we scanned with magnetic resonance imaging 16 lean (mean body mass index, 22 kg/m2
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12

Suzuki, Mitsuru, Keiko Obara, Yuka Sasaki, et al. "Comparison of perivascular astrocytic structure between white matter and gray matter of rats." Brain Research 992, no. 2 (2003): 294–97. http://dx.doi.org/10.1016/j.brainres.2003.08.052.

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13

RIDLER, K., E. T. BULLMORE, P. J. DE VRIES, et al. "Widespread anatomical abnormalities of grey and white matter structure in tuberous sclerosis." Psychological Medicine 31, no. 8 (2001): 1437–46. http://dx.doi.org/10.1017/s0033291701004561.

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Background. Neuroimaging studies of tuberous sclerosis complex (TSC) have previously focused mainly on tubers or subependymal nodules. Subtle pathological changes in the structure of the brain have not been studied in detail. Computationally intensive techniques for reliable morphometry of brain structure are useful in disorders like TSC, where there is little prior data to guide selection of regions of interest.Methods. Dual-echo, fast spin-echo MRI data were acquired from 10 TSC patients of normal intelligence and eight age-matched controls. Between-group differences in grey matter, white ma
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14

Arslan, Seda, Tuba Şahin, Didenur Şahin, and Timothea Toulopoulou. "T48. DEVIATIONS IN MICRO AND MACRO WHITE MATTER STRUCTURES IN PSYCHOSIS PRONENESS." Schizophrenia Bulletin 46, Supplement_1 (2020): S249—S250. http://dx.doi.org/10.1093/schbul/sbaa029.608.

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Abstract Background Psychotic disorders are characterized by neurobiological deviations, including in the macro and microstructure of white matter. White matter alterations are also seen in psychosis-proneness and in individuals who have a high risk of psychosis. For example, studies have indicated decreases in white matter integrity in the genu/forceps minor of corpus callosum (CC) in the latter populations. Anterior corona radiata (ACR) is one crucial white-matter tract connecting the anterior cingulate cortex to the striatum. Indeed, reductions in the white matter structure of anterior genu
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15

Lakovic, Katarina, Jinglu Ai, Josephine D'Abbondanza, et al. "Bilirubin and its Oxidation Products Damage Brain White Matter." Journal of Cerebral Blood Flow & Metabolism 34, no. 11 (2014): 1837–47. http://dx.doi.org/10.1038/jcbfm.2014.154.

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Brain injury after intracerebral hemorrhage (ICH) occurs in cortex and white matter and may be mediated by blood breakdown products, including hemoglobin and heme. Effects of blood breakdown products, bilirubin and bilirubin oxidation products, have not been widely investigated in adult brain. Here, we first determined the effect of bilirubin and its oxidation products on the structure and function of white matter in vitro using brain slices. Subsequently, we determined whether these compounds have an effect on the structure and function of white matter in vivo. In all, 0.5 mmol/L bilirubin tr
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16

Taylor, Warren D., Jae Nam Bae, James R. MacFall, et al. "Widespread Effects of Hyperintense Lesions on Cerebral White Matter Structure." American Journal of Roentgenology 188, no. 6 (2007): 1695–704. http://dx.doi.org/10.2214/ajr.06.1163.

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17

Hämäläinen, Sini, Viljami Sairanen, Alina Leminen, and Minna Lehtonen. "Bilingualism modulates the white matter structure of language-related pathways." NeuroImage 152 (May 2017): 249–57. http://dx.doi.org/10.1016/j.neuroimage.2017.02.081.

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18

Koch, Kathrin, Gerd Wagner, Claudia Schachtzabel, et al. "White matter structure and symptom dimensions in obsessive–compulsive disorder." Journal of Psychiatric Research 46, no. 2 (2012): 264–70. http://dx.doi.org/10.1016/j.jpsychires.2011.10.016.

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19

Maruyama, Takashi, Yoshihiro Muragaki, Masayuki Nitta, et al. "Glioma Surgery based on Anatomical Structure of the White Matter." Japanese Journal of Neurosurgery 24, no. 2 (2015): 76–84. http://dx.doi.org/10.7887/jcns.24.76.

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20

Li, Xin, Chao Ma, Xuan Sun, et al. "Disrupted white matter structure underlies cognitive deficit in hypertensive patients." European Radiology 26, no. 9 (2015): 2899–907. http://dx.doi.org/10.1007/s00330-015-4116-2.

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21

Sammler, Daniela, Katrin Cunitz, Sarah M. E. Gierhan, et al. "White matter pathways for prosodic structure building: A case study." Brain and Language 183 (August 2018): 1–10. http://dx.doi.org/10.1016/j.bandl.2018.05.001.

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22

Tuch, David S., Jonathan J. Wisco, Mark H. Khachaturian, Leeland B. Ekstrom, Rolf Kötter, and Wim Vanduffel. "Q -ball imaging of macaque white matter architecture." Philosophical Transactions of the Royal Society B: Biological Sciences 360, no. 1457 (2005): 869–79. http://dx.doi.org/10.1098/rstb.2005.1651.

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Анотація:
Diffusion-weighted magnetic resonance imaging holds substantial promise as a technique for non-invasive imaging of white matter (WM) axonal projections. For diffusion imaging to be capable of providing new insight into the connectional neuroanatomy of the human brain, it will be necessary to histologically validate the technique against established tracer methods such as horseradish peroxidase and biocytin histochemistry. The macaque monkey provides an ideal model for histological validation of the diffusion imaging method due to the phylogenetic proximity between humans and macaques, the gyre
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23

Filley, Christopher M., and R. Douglas Fields. "White matter and cognition: making the connection." Journal of Neurophysiology 116, no. 5 (2016): 2093–104. http://dx.doi.org/10.1152/jn.00221.2016.

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Whereas the cerebral cortex has long been regarded by neuroscientists as the major locus of cognitive function, the white matter of the brain is increasingly recognized as equally critical for cognition. White matter comprises half of the brain, has expanded more than gray matter in evolution, and forms an indispensable component of distributed neural networks that subserve neurobehavioral operations. White matter tracts mediate the essential connectivity by which human behavior is organized, working in concert with gray matter to enable the extraordinary repertoire of human cognitive capaciti
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24

Begré, Stefan, Claus Kiefer, Roland von Känel, Angela Frommer, and Andrea Federspiel. "Rey Visual Design Learning Test performance correlates with white matter structure." Acta Neuropsychiatrica 21, no. 2 (2009): 67–74. http://dx.doi.org/10.1111/j.1601-5215.2009.00361.x.

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Objective:Studies exploring relation of visual memory to white matter are extensively lacking. The Rey Visual Design Learning Test (RVDLT) is an elementary motion, colour and word independent visual memory test. It avoids a significant contribution from as many additional higher order visual brain functions as possible to visual performance, such as three-dimensional, colour, motion or word-dependent brain operations. Based on previous results, we hypothesised that test performance would be related with white matter of dorsal hippocampal commissure, corpus callosum, posterior cingulate, superi
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25

Man, Jodie H. K., Charlotte A. G. H. van Gelder, Marjolein Breur, et al. "Cortical Pathology in Vanishing White Matter." Cells 11, no. 22 (2022): 3581. http://dx.doi.org/10.3390/cells11223581.

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Vanishing white matter (VWM) is classified as a leukodystrophy with astrocytes as primary drivers in its pathogenesis. Magnetic resonance imaging has documented the progressive thinning of cortices in long-surviving patients. Routine histopathological analyses, however, have not yet pointed to cortical involvement in VWM. Here, we provide a comprehensive analysis of the VWM cortex. We employed high-resolution-mass-spectrometry-based proteomics and immunohistochemistry to gain insight into possible molecular disease mechanisms in the cortices of VWM patients. The proteome analysis revealed 268
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26

Mårtensson, Johan, Johan Eriksson, Nils Christian Bodammer, et al. "White matter microstructure predicts foreign language learning in army interpreters." Bilingualism: Language and Cognition 23, no. 4 (2020): 763–71. http://dx.doi.org/10.1017/s1366728920000152.

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AbstractAdult foreign language acquisition is challenging, and the degree of success varies among individuals. Anatomical differences in brain structure prior to training can partly explain why some learn more than others. We followed a sample of conscript interpreters undergoing intense language training to study learning-related changes in white-matter microstructure (FA, MD, RD and AD) and associations between differences in brain structure prior to training with acquired language proficiency. No evidence for changes in white matter microstructure relative to a control group was found. Star
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27

Ocklenburg, Sebastian, Patrick Friedrich, Onur Güntürkün, and Erhan Genç. "Intrahemispheric white matter asymmetries: the missing link between brain structure and functional lateralization?" Reviews in the Neurosciences 27, no. 5 (2016): 465–80. http://dx.doi.org/10.1515/revneuro-2015-0052.

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AbstractHemispheric asymmetries are a central principle of nervous system architecture and shape the functional organization of most cognitive systems. Structural gray matter asymmetries and callosal interactions have been identified as contributing neural factors but always fell short to constitute a full explanans. Meanwhile, recent advances in in vivo white matter tractography have unrevealed the asymmetrical organization of many intrahemispheric white matter pathways, which might serve as the missing link to explain the substrate of functional lateralization. By taking into account callosa
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28

Boshkayev, K. A., J. A. Rueda, B. A. Zhami, Zh A. Kalymova, and G. Sh Balgymbekov. "Equilibrium structure of white dwarfs at finite temperatures." International Journal of Modern Physics: Conference Series 41 (January 2016): 1660129. http://dx.doi.org/10.1142/s2010194516601290.

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Recently, it has been shown by S. M. de Carvalho et al. (2014) that the deviations between the degenerate case and observations were already evident for 0.7-0.8 M[Formula: see text] white dwarfs. Such deviations were related to the neglected effects of finite temperatures on the structure of a white dwarf. Therefore, in this work by employing the Chandrasekhar equation of state taking into account the effects of temperature we show how the total pressure of the white dwarf matter depends on the mass density at different temperatures. Afterwards we construct equilibrium configurations of white
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29

Siepmann, Timo, Henry Boardman, Amy Bilderbeck, et al. "Long-term cerebral white and gray matter changes after preeclampsia." Neurology 88, no. 13 (2017): 1256–64. http://dx.doi.org/10.1212/wnl.0000000000003765.

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Objective:To determine whether changes in cerebral structure are present after preeclampsia that may explain increased cerebrovascular risk in these women.Methods:We conducted a case control study in women between 5 and 15 years after either a preeclamptic or normotensive pregnancy. Brain MRI was performed. Analysis of white matter structure was undertaken using voxel-based segmentation of fluid-attenuation inversion recovery sequences to assess white matter lesion volume and diffusion tensor imaging to measure microstructural integrity. Voxel-based analysis of gray matter volumes was performe
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30

Wurst, Zdeněk, Barbora Birčák Kuchtová, Jan Křemen, et al. "Basal Ganglia Compensatory White Matter Changes on DTI in Alzheimer’s Disease." Cells 12, no. 9 (2023): 1220. http://dx.doi.org/10.3390/cells12091220.

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The volume reduction of the gray matter structures in patients with Alzheimer’s disease is often accompanied by an asymmetric increase in the number of white matter fibers located close to these structures. The present study aims to investigate the white matter structure changes in the motor basal ganglia in Alzheimer’s disease patients compared to healthy controls using diffusion tensor imaging. The amounts of tracts, tract length, tract volume, quantitative anisotropy, and general fractional anisotropy were measured in ten patients with Alzheimer’s disease and ten healthy controls. A signifi
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31

Hoppenbrouwers, Sylco S., Arash Nazeri, Danilo R. de Jesus, et al. "White Matter Deficits in Psychopathic Offenders and Correlation with Factor Structure." PLoS ONE 8, no. 8 (2013): e72375. http://dx.doi.org/10.1371/journal.pone.0072375.

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32

Manza, Peter, Kai Yuan, Ehsan Shokri-Kojori, Dardo Tomasi, and Nora D. Volkow. "Chronic cannabis users show deficits in gray and white matter structure." Molecular Psychiatry 25, no. 12 (2020): 3115. http://dx.doi.org/10.1038/s41380-020-00937-7.

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33

Auriel, E., B. L. Edlow, Y. D. Reijmer, et al. "Microinfarct disruption of white matter structure: A longitudinal diffusion tensor analysis." Neurology 83, no. 2 (2014): 182–88. http://dx.doi.org/10.1212/wnl.0000000000000579.

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34

Kindlmann, Gordon, Xavier Tricoche, and Carl-Fredrik Westin. "Delineating white matter structure in diffusion tensor MRI with anisotropy creases." Medical Image Analysis 11, no. 5 (2007): 492–502. http://dx.doi.org/10.1016/j.media.2007.07.005.

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35

Giorgio, Antonio, Luca Santelli, Valentina Tomassini, et al. "Age-related changes in grey and white matter structure throughout adulthood." NeuroImage 51, no. 3 (2010): 943–51. http://dx.doi.org/10.1016/j.neuroimage.2010.03.004.

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36

Koch, Kathrin, Gerd Wagner, Claudia Schachtzabel, et al. "Age-dependent visuomotor performance and white matter structure: a DTI study." Brain Structure and Function 218, no. 5 (2012): 1075–84. http://dx.doi.org/10.1007/s00429-012-0447-9.

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37

Kent, Brian P., Alessandro Rinaldo, Fang-Cheng Yeh, and Timothy Verstynen. "Mapping Topographic Structure in White Matter Pathways with Level Set Trees." PLoS ONE 9, no. 4 (2014): e93344. http://dx.doi.org/10.1371/journal.pone.0093344.

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38

Wong, Nikita A., Sara A. Rafique, Stefania S. Moro, Krista R. Kelly, and Jennifer K. E. Steeves. "Altered white matter structure in auditory tracts following early monocular enucleation." NeuroImage: Clinical 24 (2019): 102006. http://dx.doi.org/10.1016/j.nicl.2019.102006.

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39

Barnea-Goraly, Naama, Hower Kwon, Vinod Menon, Stephan Eliez, Linda Lotspeich, and Allan L. Reiss. "White matter structure in autism: preliminary evidence from diffusion tensor imaging." Biological Psychiatry 55, no. 3 (2004): 323–26. http://dx.doi.org/10.1016/j.biopsych.2003.10.022.

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40

Rubia, Katya. "White Matter Structure and Delay Tolerance in Attention-Deficit/Hyperactivity Disorder." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 4, no. 3 (2019): 213–15. http://dx.doi.org/10.1016/j.bpsc.2019.01.006.

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41

Walton, Matthew, Deborah Dewey, and Catherine Lebel. "Brain white matter structure and language ability in preschool-aged children." Brain and Language 176 (January 2018): 19–25. http://dx.doi.org/10.1016/j.bandl.2017.10.008.

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42

Versace, Amelia, Heather Acuff, Michele A. Bertocci, et al. "White Matter Structure in Youth With Behavioral and Emotional Dysregulation Disorders." JAMA Psychiatry 72, no. 4 (2015): 367. http://dx.doi.org/10.1001/jamapsychiatry.2014.2170.

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43

Schwindt, Graeme, Naida Graham, Elizabeth Rochon, David Tang-Wai, and Sandra E. Black. "P1-022: Characterizing abnormal white matter structure in primary progressive aphasia." Alzheimer's & Dementia 6 (July 2010): S180. http://dx.doi.org/10.1016/j.jalz.2010.05.569.

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44

Yang, Xu, Tinghuizi Shang, Zhipeng Ding, et al. "Abnormal structure and function of white matter in obsessive-compulsive disorder." Progress in Neuro-Psychopharmacology and Biological Psychiatry 134 (August 2024): 111061. http://dx.doi.org/10.1016/j.pnpbp.2024.111061.

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45

van’t Westeinde, Annelies, Leif Karlsson, Malin Thomsen Sandberg, Anna Nordenström, Nelly Padilla, and Svetlana Lajic. "Altered Gray Matter Structure and White Matter Microstructure in Patients with Congenital Adrenal Hyperplasia: Relevance for Working Memory Performance." Cerebral Cortex 30, no. 5 (2019): 2777–88. http://dx.doi.org/10.1093/cercor/bhz274.

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Abstract Congenital adrenal hyperplasia (CAH) has been associated with brain structure alterations, but systematic studies are lacking. We explore brain morphology in 37 (21 female) CAH patients and 43 (26 female) healthy controls, aged 16–33 years, using structural magnetic resonance imaging to estimate cortical thickness, surface area, volume, subcortical volumes, and white matter (WM) microstructure. We also report data on a small cohort of patients (n = 8) with CAH, who received prenatal dexamethasone (DEX). Patients with CAH had reduced whole brain volume (4.23%) and altered structure of
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46

Pınar, Yunus, Nihat Bayat, Begümhan Yüksel, and Yasin Özkara. "Reading and White Matter Development: A Systematic Review of Neuroplastic Changes in Literacy." Children 12, no. 6 (2025): 710. https://doi.org/10.3390/children12060710.

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Background/Objectives: Reading is a core cognitive ability that plays a central role in children’s brain development and academic success. This review aims to examine the neuroplastic relationship between reading acquisition and white matter development from infancy through adolescence, with a focus on implications for literacy interventions and educational planning. Methods: A systematic review of 89 neuroimaging studies published between 1998 and 2024 was conducted. Eligible studies utilized diffusion tensor imaging (DTI) or structural MRI to investigate white matter changes related to readi
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47

CASTANHEIRA, BÁRBARA GARCIA, and S. O. KEPLER. "THE PULSATING WHITE DWARF G 185-32." International Journal of Modern Physics D 13, no. 07 (2004): 1213–16. http://dx.doi.org/10.1142/s021827180400533x.

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Анотація:
We study the structure of pulsating white dwarf stars, which present multi-periodic light variations with periods around minutes, defining instability strips along their cooling sequence. We analyze the ultraviolet (HST) and optical (WET) light curves of the pulsating white dwarf G185-32. Among all pulsating white dwarfs, this star has the shortest periodicity so far observed. We detected 18 periodicities, including non-linear effects, which can be used to study the stellar structure, constraining the physics of the degenerate matter.
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McDonald, Colm, Ed Bullmore, Pak Sham, et al. "Regional volume deviations of brain structure in schizophrenia and psychotic bipolar disorder." British Journal of Psychiatry 186, no. 5 (2005): 369–77. http://dx.doi.org/10.1192/bjp.186.5.369.

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BackgroundIt is unclear whether schizophrenia and psychotic bipolar disorder are associated with similar deviations of brain morphometry.AimsTo assess volumetric abnormalities of grey and white matter throughout the entire brain in individuals with schizophrenia or with bipolar disorder compared with the same control group.MethodBrain scans were obtained by magnetic resonance imaging from 25 people with schizophrenia, 37 with bipolar disorder who had experienced psychotic symptoms and 52 healthy volunteers. Regional deviation in grey and white matter volume was assessed using computational mor
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49

De Bernardo, Maddalena, Francesco Diana, Marco Gioia, et al. "The Correlation between Retinal and Choroidal Thickness with Age-Related White Matter Hyperintensities in Progressive Supranuclear Palsy." Journal of Clinical Medicine 12, no. 20 (2023): 6671. http://dx.doi.org/10.3390/jcm12206671.

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Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease. Recently, several retinal layers in PSP compared to healthy controls. were found to be thinner. However, no studies evaluating the correlation between retinal layers and cerebral white matter changes, nor eventual choroidal changes in PSP, have been conducted so far. The goals of the present study were to explore potential differences in choroidal structure between PSP and healthy controls, and to describe the relationship between retinal layers’ thickness and volume, using spectral-domain optical coherence tomography (S
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50

Lyall, Donald M., Simon R. Cox, Laura M. Lyall, et al. "Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrity." Brain Imaging and Behavior 14, no. 5 (2019): 1468–76. http://dx.doi.org/10.1007/s11682-019-00069-9.

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Abstract Apolipoprotein (APOE) e4 genotype is an accepted risk factor for accelerated cognitive aging and dementia, though its neurostructural substrates are unclear. The deleterious effects of this genotype on brain structure may increase in magnitude into older age. This study aimed to investigate in UK Biobank the association between APOE e4 allele presence vs. absence and brain imaging variables that have been associated with worse cognitive abilities; and whether this association varies by cross-sectional age. We used brain magnetic resonance imaging (MRI) and genetic data from a general-
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