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7. Resolution limit-free community detection reveals unique patterns of resting-state network connectivity in posttraumatic stress disorder: A PGC-ENIGMA PTSD consortium investigation

Author

Ross, M.C., Cisler, J.M., Koch, S.B.J., Olff, M., Veltman, D.J., Nawijn, L., Frijling, J.L., van Zuiden, M., Zhu, X., Neria, Y., Suarez-Jimenez, B., Wager, T., Morey, R.A., Haswell, C., de Bellis, M., Rubright, E.C., Stevens, J.S., van Rooij, S.J.H., Fani, N., Jovanovic, T., Ressler, K.J., Daniels, J.K., Walter, H., Manthey, A., Sierk, A., Riha, P., Rektor, I., Davidson, R., Nitschke, J., Grupe, D., Larson, C., deRoon-Cassini, T., Fitzgerald, J., Huggins, A., Weiss, C., Lanius, R., Densmore, M., Lebois, L., Kaufman, M.L., Baker, J.T., Straube, T., Neumeister, P., Hofmann, D., Etkin, A., Maron-Katz, A., King, A., Liberzon, I., Angstadt, M., Herringa, R., Wang, X., Chen, T., Cotton, A., O'Leary, B., Xie, H., Disner, S., Davenport, N., Sponheim, S., El Hage, W., Quidé, Y., Geuze, E., Kennis, M., Gordon, E., May, G., Nelson, S., Jia-Richards, M., Bruce, S., Veer, I.M., Waller, L., Berg, H., Lissek, S., Ross, M.C., Cisler, J.M., Koch, S.B.J., Olff, M., Veltman, D.J., Nawijn, L., Frijling, J.L., van Zuiden, M., Zhu, X., Neria, Y., Suarez-Jimenez, B., Wager, T., Morey, R.A., Haswell, C., de Bellis, M., Rubright, E.C., Stevens, J.S., van Rooij, S.J.H., Fani, N., Jovanovic, T., Ressler, K.J., Daniels, J.K., Walter, H., Manthey, A., Sierk, A., Riha, P., Rektor, I., Davidson, R., Nitschke, J., Grupe, D., Larson, C., deRoon-Cassini, T., Fitzgerald, J., Huggins, A., Weiss, C., Lanius, R., Densmore, M., Lebois, L., Kaufman, M.L., Baker, J.T., Straube, T., Neumeister, P., Hofmann, D., Etkin, A., Maron-Katz, A., King, A., Liberzon, I., Angstadt, M., Herringa, R., Wang, X., Chen, T., Cotton, A., O'Leary, B., Xie, H., Disner, S., Davenport, N., Sponheim, S., El Hage, W., Quidé, Y., Geuze, E., Kennis, M., Gordon, E., May, G., Nelson, S., Jia-Richards, M., Bruce, S., Veer, I.M., Waller, L., Berg, H., and Lissek, S.

Abstract

Posttraumatic stress disorder (PTSD) is a complex psychiatric condition that has generated much attention in the neuroimaging literature. A neurocircuitry model supporting fronto-limbic dysfunction as a major player in facilitating clinical symptoms of PTSD is well-characterized; however, recent literature suggests that network-based approaches may provide additional insight into neural dysfunction in PTSD. Our analysis uses resting-state neuroimaging scans of 1063 adults from the PGC-ENIGMA PTSD Consortium to investigate a network-based model of functional connectivity in PTSD. With a novel, resolution limit-free community detection approach, 16 communities corresponding to functionally meaningful networks were detected with high quality. After group-level community detection, participants were classified into three groups (PTSD, n=418, trauma-exposed controls without PTSD, n=434, and non-trauma exposed healthy controls, n=211). Individual network connectivity metrics were calculated, including whole-brain, default mode network, and central executive network participation coefficient and connectivity strength. Linear mixed effects models revealed group differences in the whole-brain, default mode, and central executive network participation coefficient and connectivity strength such that individuals with PTSD demonstrated overall greater values. We also described sex differences such that males demonstrate greater whole-brain participation coefficient vs. females and females demonstrate greater default mode network connectivity strength vs. males. Our results suggest that PTSD in adults is associated with reduced specialization and enhanced inter-module communication throughout the brain network, which may contribute to inefficient information processing and poor emotional regulation. This study presents a novel use of resolution limit-free community detection in a large PTSD sample, revealing robust differences in resting-state network topology.

Published
2021

8. Epileptogenic zone detection in MRI negative epilepsy using adaptive thresholding of arterial spin labeling data

Author

Gajdoš, M., Říha, P., Kojan, M., Doležalová, I., Mutsaerts, H. J. M. M., (0000-0002-3201-6002) Petr, J., Rektor, I., Gajdoš, M., Říha, P., Kojan, M., Doležalová, I., Mutsaerts, H. J. M. M., (0000-0002-3201-6002) Petr, J., and Rektor, I.

Abstract

Drug-resistant epilepsy is a diagnostic and therapeutic challenge, mainly in patients with negative MRI findings. State-of-the-art imaging methods complement standard epilepsy protocols with new information and help epileptologists to increase the reliability of their decisions. In this study, we investigate whether arterial spin labeling (ASL) perfusion MRI can help localize the epileptogenic zone (EZ). To that end, we developed an image processing method to detect the EZ as an area with hypoperfusion relative to the contralateral unaffected side, using subject-specific thresholding of the asymmetry index in ASL images. We demonstrated three thresholding criteria (termed minimal product criterion, minimal distance criterion, and elbow criterion) on 29 patients with MRI-negative epilepsy (age 32.98 ± 10.4 years). The minimal product criterion showed optimal results in terms of positive predictive value (mean 0.12 in postoperative group and 0.22 in preoperative group) and true positive rate (mean 0.71 in postoperative group and 1.82 in preoperative group). Additionally, we found high accuracy in determining the EZ side (mean 0.86 in postoperative group and 0.73 in preoperative group out of 1.00). ASL can be easily incorporated into the standard presurgical MR protocol, and it provides an additional benefit in EZ localization.

Published
2021

13. Human brain connectivity: Clinical applications for clinical neurophysiology

Author

Hallett, M., Haan, W. de, Deco, G., Dengler, R., Iorio, R. Di, Gallea, C., Gerloff, C., Grefkes, C., Helmich, R.C.G., Kringelbach, M.L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L.J., Wu, T., Rossini, P.M., Hallett, M., Haan, W. de, Deco, G., Dengler, R., Iorio, R. Di, Gallea, C., Gerloff, C., Grefkes, C., Helmich, R.C.G., Kringelbach, M.L., Miraglia, F., Rektor, I., Strýček, O., Vecchio, F., Volz, L.J., Wu, T., and Rossini, P.M.

Abstract

Contains fulltext : 220661.pdf (Publisher’s version ) (Closed access), This manuscript is the second part of a two-part description of the current status of understanding of the network function of the brain in health and disease. We start with the concept that brain function can be understood only by understanding its networks, how and why information flows in the brain. The first manuscript dealt with methods for network analysis, and the current manuscript focuses on the use of these methods to understand a wide variety of neurological and psychiatric disorders. Disorders considered are neurodegenerative disorders, such as Alzheimer disease and amyotrophic lateral sclerosis, stroke, movement disorders, including essential tremor, Parkinson disease, dystonia and apraxia, epilepsy, psychiatric disorders such as schizophrenia, and phantom limb pain. This state-of-the-art review makes clear the value of networks and brain models for understanding symptoms and signs of disease and can serve as a foundation for further work.

Published
2020

44. Covert vision sign

Author

Brázdil, M., Kuba, R., Daniel, P., Sochůrková, D., Dobšík, M., and Rektor, I.

Published
2002

47. Effect of atorvastatin in elderly patients with a recent stroke or transient ischemic attack

Author

Chaturvedi, S, Zivin, J, Breazna, A, Amarenco, P, Callahan, A, Goldstein, LB, Hennerici, M, Sillesen, H, Rudolph, A, Welch, MA, SPARCL Investigators, Crimmins D, Davis S, Dimmitt S, Donnan G, Frayne J, Freilich D, Zagami A, Mikocki J, Schmidauer C, Schmidt R, De Bleecker J, Deceuninck F, Tack P, Thijs V, Gomes Fernandes J, Beaudry M, Cote R, Hoyte K, Lebrun LH, Mackey A, Sahlas D, Selchen D, Shuaib A, Spence JD, Teal P, Winger M, Matamala G, Cifkova R, Kalita Z, Rektor I, Rosolova H, Stipal R, Vaclavik D, Boysen G, Klingenberg H, Iversen, Sillesen H, Hillbom M, Kaste M, Numminen H, Pilke A, Salmivaara A, Sivenius J, Alamowitch S, Amarenco P, Boulliat J, De Broucker T, Chollet F, Mahagne MH, Milandre L, Moulin T, Bogdahn U, Diener HC, Dichgans M, Glahn J, Haberl R, Harms L, Hennerici MG, Knecht S, Kroczek G, Lichy C, Sander D, Schneider D, Kazis A, Karageorgiou C, Milonas I, Stathis P, Vogiatzoglou D, Bornstein N, Honigman S, Lampl Y, Streifler J, Capurso A, Comi G, Gandolfo C, Poloni M, Senin U, Rangel Guerra R, Boon AM, De Keyser JH, De Kort PL, Haas JA, Kamphuis DJ, Koudstaal PJ, Anderson N, Scott R, Singh G, Czlonkowska A, Drozdowski W, Gralewski Z, Kozubski W, Kuczynska Zardzewialy A, Podemski R, Stelmasiak Z, Szczudlik A, Da Costa Correia C, Ferro J, Salgueiro e. Cunha L, Lietava J, Raslova K, Carr J, Gardiner J, Kruger A, Alvarez Sabin J, Chamorro A, Diez Tejedor E, Fernández O, Trejo Gabriel y. Galán J, González Marcos J, Egido Herrero J, Jiménez Martínez M, Lago Martin A, Mostacero Miguel E, Vivancos Mora J, Moltó J, Viguera Romero J, Cuartero Rodriguez E, Rodriguez F, Serena J, Laska AC, Leijd B, Strand T, Terent A, Waegner A, Wallén T, Baumgartner R, Bogousslavsky J, Hungerbühler H, Lyrer P, Mattle H, Bath PM, Ekpo EB, Freeman A, Lees KR, MacLeod MJ, MacWalter RS, Sharma AK, Shetty HG, Albers G, Altafullah I, Benavente O, Book D, Broderick J, Callahan A. 3rd, Calder C, Carlini W, Chaturvedi S, Chippendale T, Clark W, Coull B, Davis P, Devlin T, Dick A, Dooneief G, Duff R, Estronza N, Forteza A, Frankel M, Frey J, Friday G, Graham G, Goldstein J, Hammer M, Harris J, Harper W, Hendin B, Hendin D, Hinton R, Hollander J, Hughes R, Kasner S, Kent T, Kim L, Kirshner H, LaMonte M, Ledbetter L, Lee Kwen P, Levin K, Libman R, Matlock J, McDowell P, McGee F. Jr, Meyer B, Minagar A, Moussouttas M, Munson R, Nash M, Nassief A, Orr S, Ratinov G, Salanga V, Silliman S, Singer R, Smith D, Sullivan H, Tietjen G, Thaler D, Tuchman M, Uskavitch D, Verro P, Vicari R, Weinstein R, Wilterdink J, Zweifler R, De Bastos M., FERRARESE, CARLO, Chaturvedi, S, Zivin, J, Breazna, A, Amarenco, P, Callahan, A, Goldstein, L, Hennerici, M, Sillesen, H, Rudolph, A, Welch, M, Sparcl, I, Crimmins, D, Davis, S, Dimmitt, S, Donnan, G, Frayne, J, Freilich, D, Zagami, A, Mikocki, J, Schmidauer, C, Schmidt, R, De Bleecker, J, Deceuninck, F, Tack, P, Thijs, V, Gomes Fernandes, J, Beaudry, M, Cote, R, Hoyte, K, Lebrun, L, Mackey, A, Sahlas, D, Selchen, D, Shuaib, A, Spence, J, Teal, P, Winger, M, Matamala, G, Cifkova, R, Kalita, Z, Rektor, I, Rosolova, H, Stipal, R, Vaclavik, D, Boysen, G, Klingenberg, H, Iversen, Hillbom, M, Kaste, M, Numminen, H, Pilke, A, Salmivaara, A, Sivenius, J, Alamowitch, S, Boulliat, J, De Broucker, T, Chollet, F, Mahagne, M, Milandre, L, Moulin, T, Bogdahn, U, Diener, H, Dichgans, M, Glahn, J, Haberl, R, Harms, L, Knecht, S, Kroczek, G, Lichy, C, Sander, D, Schneider, D, Kazis, A, Karageorgiou, C, Milonas, I, Stathis, P, Vogiatzoglou, D, Bornstein, N, Honigman, S, Lampl, Y, Streifler, J, Capurso, A, Comi, G, Ferrarese, C, Gandolfo, C, Poloni, M, Senin, U, Rangel Guerra, R, Boon, A, De Keyser, J, De Kort, P, Haas, J, Kamphuis, D, Koudstaal, P, Anderson, N, Scott, R, Singh, G, Czlonkowska, A, Drozdowski, W, Gralewski, Z, Kozubski, W, Kuczynska Zardzewialy, A, Podemski, R, Stelmasiak, Z, Szczudlik, A, Da Costa Correia, C, Ferro, J, Salgueiro e., C, Lietava, J, Raslova, K, Carr, J, Gardiner, J, Kruger, A, Alvarez Sabin, J, Chamorro, A, Diez Tejedor, E, Fernández, O, Trejo Gabriel y., G, González Marcos, J, Egido Herrero, J, Jiménez Martínez, M, Lago Martin, A, Mostacero Miguel, E, Vivancos Mora, J, Moltó, J, Viguera Romero, J, Cuartero Rodriguez, E, Rodriguez, F, Serena, J, Laska, A, Leijd, B, Strand, T, Terent, A, Waegner, A, Wallén, T, Baumgartner, R, Bogousslavsky, J, Hungerbühler, H, Lyrer, P, Mattle, H, Bath, P, Ekpo, E, Freeman, A, Lees, K, Macleod, M, Macwalter, R, Sharma, A, Shetty, H, Albers, G, Altafullah, I, Benavente, O, Book, D, Broderick, J, Callahan A., 3, Calder, C, Carlini, W, Chippendale, T, Clark, W, Coull, B, Davis, P, Devlin, T, Dick, A, Dooneief, G, Duff, R, Estronza, N, Forteza, A, Frankel, M, Frey, J, Friday, G, Graham, G, Goldstein, J, Hammer, M, Harris, J, Harper, W, Hendin, B, Hendin, D, Hinton, R, Hollander, J, Hughes, R, Kasner, S, Kent, T, Kim, L, Kirshner, H, Lamonte, M, Ledbetter, L, Lee Kwen, P, Levin, K, Libman, R, Matlock, J, Mcdowell, P, McGee F., J, Meyer, B, Minagar, A, Moussouttas, M, Munson, R, Nash, M, Nassief, A, Orr, S, Ratinov, G, Salanga, V, Silliman, S, Singer, R, Smith, D, Sullivan, H, Tietjen, G, Thaler, D, Tuchman, M, Uskavitch, D, Verro, P, Vicari, R, Weinstein, R, Wilterdink, J, Zweifler, R, and De Bastos, M

Subjects
Male, medicine.medical_specialty, Atorvastatin, medicine.medical_treatment, Coronary Disease, Pyrrole, Revascularization, Risk Assessment, Cohort Studies, Coronary artery disease, Internal medicine, Anticholesteremic Agent, Myocardial Revascularization, medicine, Clinical endpoint, Humans, Pyrroles, Age Factor, cardiovascular diseases, Stroke, Aged, Cerebral infarction, business.industry, Anticholesteremic Agents, Hazard ratio, Age Factors, Cholesterol, LDL, Middle Aged, medicine.disease, Surgery, Heptanoic Acid, Heptanoic Acids, Ischemic Attack, Transient, Cohort, Cardiology, Female, Hydroxymethylglutaryl-CoA Reductase Inhibitor, Neurology (clinical), Hydroxymethylglutaryl-CoA Reductase Inhibitors, Cohort Studie, business, Human, medicine.drug
Abstract

BACKGROUND: It is unclear whether patients age 65 years and over with a recent stroke or TIA benefit from statin treatment to a similar degree as younger patients. METHODS: The 4,731 patient cohort in the SPARCL study was divided into an elderly group (65 and over) and a younger group. The primary endpoint (fatal or nonfatal stroke) and secondary endpoints were analyzed, with calculation of the hazard ratio (HR) and p values from a Cox regression model. RESULTS: There were 2,249 patients in the elderly group and 2,482 in the younger group. The baseline LDL (133 mg/dL) and total cholesterol were comparable in the two groups. The elderly and younger groups had a 61.4 mg/dL and 58.7 mg/dL decrease in mean LDL during the trial. The primary endpoint was reduced by 26% in younger patients (HR 0.74, 0.57-0.96, p = 0.02) and by 10% in elderly subjects (HR 0.90, 0.73-1.11, p = 0.33). A test of heterogeneity for a treatment-age interaction was not significant (p = 0.52). The risk of stroke or TIA (HR 0.79, p = 0.01), major coronary events (HR 0.68, p = 0.035), any coronary heart disease event (HR 0.61, p = 0.0006), and revascularization procedures (HR 0.55, p = 0.0005) was reduced in the elderly group. CONCLUSIONS: There was no heterogeneity in the stroke reduction seen with atorvastatin in the elderly and younger groups. Cardiac events and revascularization procedures were also lower in both the elderly and younger subgroups treated with atorvastatin. These results support the use of atorvastatin in elderly patients with recent stroke or TIA.

Published
2008

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