Results 31 to 40 of about 7,721,766 (241)

Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study. [PDF]

Mol Psychiatry
Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR ...
Liu S, Agartz I, Allen P, Amminger GP, Andreassen OA, Bachman P, Baeza I, Baldwin H, Bartholomeusz CF, Borgwardt S, Catalano S, Chen X, Cho KIK, Choi S, Colibazzi T, Cooper RE, Corcoran CM, Cropley VL, de Haan L, de la Fuente-Sandoval C, Dolz M, Ebdrup BH, Fortea A, Fusar-Poli P, Glenthøj LB, Glenthøj BY, Haas SS, Hamilton HK, Haut KM, Hayes RA, He Y, Heekeren K, Hegelstad WTV, Hooker CI, Horton LE, Hubl D, Hwang WJ, Kaess M, Kasai K, Katagiri N, Kim M, Kindler J, Klaunig MJ, Koike S, Kristensen TD, Kwak YB, Kwon JS, Lawrie SM, Lebedeva I, Lemmers-Jansen IL, León-Ortiz P, Lin A, Loewy RL, Ma X, Mathalon DH, McGorry P, McGuire P, Michel C, Mizrahi R, Mizuno M, Møller P, Mora-Durán R, Muñoz-Samons D, Nelson B, Nemoto T, Nordentoft M, Nordholm D, Omelchenko MA, Ouyang L, Pantelis C, Pariente JC, Raghava JM, Rasser PE, Resch F, Reyes-Madrigal F, Rivera-Chávez LF, Røssberg JI, Rössler W, Salisbury DF, Sasabayashi D, Schall U, Schiffman J, Schmidt A, Smigielski L, Sørensen ME, Sugranyes G, Suzuki M, Takahashi T, Tamnes CK, Tang J, Theodoridou A, Thomopoulos SI, Tomyshev AS, Tor J, Uhlhaas PJ, Værnes TG, van Amelsvoort TA, Velakoulis D, Via E, Vinogradov S, Waltz JA, Wenneberg C, Westlye LT, Wood SJ, Yamasue H, Yuan L, Yung AR, Chee MW, Thompson PM, Hernaus D, Jalbrzikowski M, Lee J, Zhou JH, ENIGMA Clinical High Risk for Psychosis Working Group.   +113 more
europepmc   +2 more sources

Parahippocampus hypertrophy drives gray matter morphological alterations in migraine patients without aura

The Journal of Headache and Pain, 2023
Background The aberrance of gray matter morphology in migraineurs has been widely investigated. However, it remains largely unknown whether there are illness duration-related hierarchical changes in the gray matter structure.
Tao Yin, Lei Lan, Zilei Tian, Zhengjie Li, Mailan Liu, Yujie Gao, Fanrong Liang, Fang Zeng   +7 more
doaj   +1 more source

ABNORMAL STRUCTURAL COVARIANCE NETWORK IN TREATMENT- RESISTANT DEPRESSION [PDF]

Int J Neuropsychopharmacol
Background Treatment-resistant depression (TRD) is associated with gray matter volume reduction compared to healthy controls (HC). Since depression has increasingly been recognized as a disorder of dysregulated neural networks, it is ...
Honda, S, Wada, M, Zalesky, A, Moriyama, S, Tsugawa, S, Wannan, C, Uchida, H, Hondo, N, Noda, Y, Nakajima, S   +9 more
europepmc   +2 more sources

Network-Level Structural Abnormalities of Cerebral Cortex in Type 1 Diabetes Mellitus [PDF]

, 2013
Type 1 diabetes mellitus (T1DM) usually begins in childhood and adolescence and causes lifelong damage to several major organs including the brain. Despite increasing evidence of T1DM-induced structural deficits in cortical regions implicated in higher ...
Hyeonseok S Jeong, Gail Musen, Hyeonseok S. Jeong (449823), In Kyoon Lyoo (399200), Weinger, K, Weinger Katie, Sujin Bae (279960), Jiyoung J. Jung (399196), Bolo, Nicolas, Bae, Sujin, Donald C. Simonson (297772), Bae, S, Lyoo In Kyoon, Lyoo, In Kyoon, Gail Musen (449820), Nicolas Bolo, Yoon, Sujung, Yera Choi (399197), Lyoo, IK, Jacobson, Alan M., Jieun E. Kim (449821), Ryan, CM, Simonson, Donald, Sujin Bae, Sujung Yoon (399194), Katie Weinger, Jeong Hyeonseok S., Simonson, Donald C., Christopher M. Ryan (410965), Hwang, J, Choi, Yera, Zuo, Xi-Nian, Kim Jieun E., Sujung Yoon, Bae Sujin, Bolo, N, Alan M Jacobson, Alan M. Jacobson (399199), Jeong, Hyeonseok S., Renshaw, PF, Jeong, HS, Sun Hea Lee (449824), Musen, G, Hwang Jaeuk, Simonson Donald C., Lee Sun Hea, Jacobson, AM, Lee, Sun Hea, Yera Choi, Perry F Renshaw, Ryan, Christopher M., Christopher M Ryan, Jung, JJ, Musen Gail, Jung Jiyoung J., In Kyoon Lyoo, Perry F. Renshaw (286262), Choi, Y, Renshaw, Perry F., Jiyoung J Jung, Hwang, Jaeuk, Kim, Jieun E., Yoon Sujung, Lee, SH, Jung, Jiyoung J., Weinger, Katie, Yoon, S, Kim, JE, Katie Weinger (449825), Choi Yera, Renshaw Perry F., Ryan Christopher M., Jacobson Alan M., Musen, Gail, Jaeuk Hwang, Donald C Simonson, Sun Hea Lee, Bolo Nicolas, Jieun E Kim, Jaeuk Hwang (449819), Nicolas Bolo (449822), Simonson, DC   +81 more
core   +2 more sources

Covariance structural models of the relationship between the design and customer domains [PDF]

, 2008
This paper addresses the problem of modelling and mapping of difficult to quantify customer needs to technical requirements and subsequently to design parameters.
Guenov, Marin D.
core   +1 more source

A Thalamic-Fronto-Parietal Structural Covariance Network Emerging in the Course of Recovery from Hand Paresis after Ischemic Stroke. [PDF]

, 2015
AIM To describe structural covariance networks of gray matter volume (GMV) change in 28 patients with first-ever stroke to the primary sensorimotor cortices, and to investigate their relationship to hand function recovery and local GMV change ...
Andrea eSeiler, Roland eWiest, Hess, Christian Walter, Andrea eFederspiel, Wiest, Roland, Seiler, Andrea Barbara, Eugenio eAbela, Bruno J. Weder, Eugenio Abela, Missimer, John H, Abela, Eugenio, Christian W. Hess, Christian Walter Hess, Andrea Seiler, John H. Missimer, Federspiel, Andrea, Andrea Federspiel, Weder, Bruno, Matthias eSturzenegger, Sturzenegger, Matthias, Matthias Sturzenegger, Roland Wiest   +21 more
core   +2 more sources

Resolving Heterogeneity in Posttraumatic Stress Disorder Using Individualized Structural Covariance Network Analysis. [PDF]

Depress Anxiety
The heterogeneity of posttraumatic stress disorder (PTSD) is an obstacle to both understanding and therapy, and this has prompted a search for internally homogeneous neuroradiological subgroups within the broad clinical diagnosis.
Suo X, Pan N, Chen L, Li L, Kemp GJ, Wang S, Gong Q.   +6 more
europepmc   +2 more sources

Linear transformations of variance/covariance matrices [PDF]

, 2011
Many applications in crystallography require the use of linear transformations on parameters and their standard uncertainties. While the transformation of the parameters is textbook knowledge, the transformation of the standard uncertainties is more ...
Sub Crystal and Structural Chemistry, Crystal and Structural Chemistry, Lutz, M., Rontgen participation programme, Pascal Parois, Parois, P.J.A., Martin Lutz   +6 more
core   +1 more source

Structural covariance and cortical reorganization in schizophrenia: a MRI-based morphometric study [PDF]

, 2018
Background: In patients with schizophrenia, distributed abnormalities are observed in grey matter volume. A recent hypothesis posits that these distributed changes are indicative of a plastic reorganization process occurring in response to a functional ...
Liddle, Peter, Sarina Iwabuchi, Palaniyappan, Lena, Iwabuchi, Sarina, Gowland, Penny, Penny Gowland, Peter Liddle, Balain, Vijender, Vijender Balain, Hodgson, Olha, Lena Palaniyappan, Olha Hodgson   +11 more
core   +1 more source

Discrete alterations of brain network structural covariance in individuals at ultra-high risk for psychosis [PDF]

, 2015
BackgroundInvestigation of aberrant large-scale brain networks offers novel insight into the role these networks play in diverse psychiatric disorders such as schizophrenia. Although studies report altered functional brain connectivity in participants at
Velakoulis, D, Harrison, B J, Wood, S J, Heinze, Kareen, Reniers, Renate L. E. P.; id_orcid, Nelson, Barnaby, Lin, Ashleigh, McGorry, P D, Wood, Stephen J., Pantelis, Christos, Reniers, R, Nelson, B, Velakoulis, Dennis, Harrison, Ben J., Heinze, K, Yung, A R; id_orcid, Lin, A, Pantelis, Ce,, Yung, Alison R., Mcgorry, Patrick D.   +19 more
core   +2 more sources