- -

Link-Level Functional Connectivity Neuroalterations in Autism Spectrum Disorder: A Developmental Resting-State fMRI Study

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Link-Level Functional Connectivity Neuroalterations in Autism Spectrum Disorder: A Developmental Resting-State fMRI Study

Mostrar el registro completo del ítem

Borràs-Ferrís, L.; Pérez-Ramírez, MÚ.; Moratal, D. (2019). Link-Level Functional Connectivity Neuroalterations in Autism Spectrum Disorder: A Developmental Resting-State fMRI Study. Diagnostics. 9(1):1-10. https://doi.org/10.3390/diagnostics9010032

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/155701

Ficheros en el ítem

Metadatos del ítem

Título: Link-Level Functional Connectivity Neuroalterations in Autism Spectrum Disorder: A Developmental Resting-State fMRI Study
Autor: Borràs-Ferrís, Lluis Pérez-Ramírez, María Úrsula Moratal, David
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Fecha difusión:
Resumen:
[EN] Autism spectrum disorder (ASD) is a neurological and developmental disorder whose late diagnosis is based on subjective tests. In seeking for earlier diagnosis, we aimed to find objective biomarkers via analysis of ...[+]
Palabras clave: Autism , Brain functional connectivity , Default mode network , Full correlation analysis , Partial correlation analysis , Region of interest analysis , Resting-state functional MRI
Derechos de uso: Reconocimiento (by)
Fuente:
Diagnostics. (eissn: 2075-4418 )
DOI: 10.3390/diagnostics9010032
Editorial:
MDPI AG
Versión del editor: https://doi.org/10.3390/diagnostics9010032
Código del Proyecto:
info:eu-repo/grantAgreement/MECD//FPU13%2F03537/ES/FPU13%2F03537/
info:eu-repo/grantAgreement/MINECO//BFU2015-64380-C2-2-R/ES/ANALISIS DE TEXTURAS EN IMAGEN CEREBRAL MULTIMODAL POR RESONANCIA MAGNETICA PARA UNA DETECCION TEMPRANA DE ALTERACIONES EN LA RED Y BIOMARCADORES DE ENFERMEDAD/
Agradecimientos:
This research was partially funded by the Ministerio de Economia y Competitividad (MINECO), through the project BFU2015-64380-C2-2-R. U.P.-R. is funded by the Spanish Ministerio de Educacion, Cultura y Deporte (MECD) under ...[+]
Tipo: Artículo

References

Hull, J. V., Dokovna, L. B., Jacokes, Z. J., Torgerson, C. M., Irimia, A., & Van Horn, J. D. (2017). Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review. Frontiers in Psychiatry, 7. doi:10.3389/fpsyt.2016.00205

Mertz, L. (2017). Sharing Data to Solve the Autism Riddle: An Interview with Adriana Di Martino and Michael Milham of ABIDE. IEEE Pulse, 8(6), 6-9. doi:10.1109/mpul.2017.2750819

Cociu, B. A., Das, S., Billeci, L., Jamal, W., Maharatna, K., Calderoni, S., … Muratori, F. (2018). Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI. IEEE Transactions on Cognitive and Developmental Systems, 10(2), 213-226. doi:10.1109/tcds.2017.2680408 [+]
Hull, J. V., Dokovna, L. B., Jacokes, Z. J., Torgerson, C. M., Irimia, A., & Van Horn, J. D. (2017). Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review. Frontiers in Psychiatry, 7. doi:10.3389/fpsyt.2016.00205

Mertz, L. (2017). Sharing Data to Solve the Autism Riddle: An Interview with Adriana Di Martino and Michael Milham of ABIDE. IEEE Pulse, 8(6), 6-9. doi:10.1109/mpul.2017.2750819

Cociu, B. A., Das, S., Billeci, L., Jamal, W., Maharatna, K., Calderoni, S., … Muratori, F. (2018). Multimodal Functional and Structural Brain Connectivity Analysis in Autism: A Preliminary Integrated Approach With EEG, fMRI, and DTI. IEEE Transactions on Cognitive and Developmental Systems, 10(2), 213-226. doi:10.1109/tcds.2017.2680408

Dekhil, O., Hajjdiab, H., Shalaby, A., Ali, M. T., Ayinde, B., Switala, A., … El-Baz, A. (2018). Using resting state functional MRI to build a personalized autism diagnosis system. PLOS ONE, 13(10), e0206351. doi:10.1371/journal.pone.0206351

Rogers, B. P., Morgan, V. L., Newton, A. T., & Gore, J. C. (2007). Assessing functional connectivity in the human brain by fMRI. Magnetic Resonance Imaging, 25(10), 1347-1357. doi:10.1016/j.mri.2007.03.007

Cheng, W., Rolls, E. T., Gu, H., Zhang, J., & Feng, J. (2015). Autism: reduced connectivity between cortical areas involved in face expression, theory of mind, and the sense of self. Brain, 138(5), 1382-1393. doi:10.1093/brain/awv051

Lynch, C. J., Uddin, L. Q., Supekar, K., Khouzam, A., Phillips, J., & Menon, V. (2013). Default Mode Network in Childhood Autism: Posteromedial Cortex Heterogeneity and Relationship with Social Deficits. Biological Psychiatry, 74(3), 212-219. doi:10.1016/j.biopsych.2012.12.013

Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., … Menon, V. (2013). Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism. JAMA Psychiatry, 70(8), 869. doi:10.1001/jamapsychiatry.2013.104

Di Martino, A., Kelly, C., Grzadzinski, R., Zuo, X.-N., Mennes, M., Mairena, M. A., … Milham, M. P. (2011). Aberrant Striatal Functional Connectivity in Children with Autism. Biological Psychiatry, 69(9), 847-856. doi:10.1016/j.biopsych.2010.10.029

Washington, S. D., Gordon, E. M., Brar, J., Warburton, S., Sawyer, A. T., Wolfe, A., … VanMeter, J. W. (2013). Dysmaturation of the default mode network in autism. Human Brain Mapping, 35(4), 1284-1296. doi:10.1002/hbm.22252

Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., … Pearlson, G. D. (2010). Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients. NeuroImage, 53(1), 247-256. doi:10.1016/j.neuroimage.2010.05.067

Weng, S.-J., Wiggins, J. L., Peltier, S. J., Carrasco, M., Risi, S., Lord, C., & Monk, C. S. (2010). Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disorders. Brain Research, 1313, 202-214. doi:10.1016/j.brainres.2009.11.057

Kennedy, D. P., & Courchesne, E. (2008). The intrinsic functional organization of the brain is altered in autism. NeuroImage, 39(4), 1877-1885. doi:10.1016/j.neuroimage.2007.10.052

Mueller, S., Keeser, D., Samson, A. C., Kirsch, V., Blautzik, J., Grothe, M., … Meindl, T. (2013). Convergent Findings of Altered Functional and Structural Brain Connectivity in Individuals with High Functioning Autism: A Multimodal MRI Study. PLoS ONE, 8(6), e67329. doi:10.1371/journal.pone.0067329

Von dem Hagen, E. A. H., Stoyanova, R. S., Baron-Cohen, S., & Calder, A. J. (2012). Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions. Social Cognitive and Affective Neuroscience, 8(6), 694-701. doi:10.1093/scan/nss053

Uddin, L. Q., Supekar, K., & Menon, V. (2013). Reconceptualizing functional brain connectivity in autism from a developmental perspective. Frontiers in Human Neuroscience, 7. doi:10.3389/fnhum.2013.00458

Kana, R. K., Uddin, L. Q., Kenet, T., Chugani, D., & Müller, R.-A. (2014). Brain connectivity in autism. Frontiers in Human Neuroscience, 8. doi:10.3389/fnhum.2014.00349

Beckmann, C. F., & Smith, S. M. (2004). Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging. IEEE Transactions on Medical Imaging, 23(2), 137-152. doi:10.1109/tmi.2003.822821

Cole. (2010). Advances and pitfalls in the analysis and interpretation of resting-state FMRI data. Frontiers in Systems Neuroscience. doi:10.3389/fnsys.2010.00008

Etzel, J. A., Gazzola, V., & Keysers, C. (2009). An introduction to anatomical ROI-based fMRI classification analysis. Brain Research, 1282, 114-125. doi:10.1016/j.brainres.2009.05.090

Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., … Milham, M. P. (2013). The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Molecular Psychiatry, 19(6), 659-667. doi:10.1038/mp.2013.78

Cameron, C., Yassine, B., Carlton, C., Francois, C., Alan, E., András, J., … Pierre, B. (2013). The Neuro Bureau Preprocessing Initiative: open sharing of preprocessed neuroimaging data and derivatives. Frontiers in Neuroinformatics, 7. doi:10.3389/conf.fninf.2013.09.00041

Xu, T., Yang, Z., Jiang, L., Xing, X.-X., & Zuo, X.-N. (2015). A Connectome Computation System for discovery science of brain. Science Bulletin, 60(1), 86-95. doi:10.1007/s11434-014-0698-3

Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., … Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968-980. doi:10.1016/j.neuroimage.2006.01.021

Cole, M. W., Yang, G. J., Murray, J. D., Repovš, G., & Anticevic, A. (2016). Functional connectivity change as shared signal dynamics. Journal of Neuroscience Methods, 259, 22-39. doi:10.1016/j.jneumeth.2015.11.011

Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., … Matthews, P. M. (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23, S208-S219. doi:10.1016/j.neuroimage.2004.07.051

Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012). FSL. NeuroImage, 62(2), 782-790. doi:10.1016/j.neuroimage.2011.09.015

Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014). Permutation inference for the general linear model. NeuroImage, 92, 381-397. doi:10.1016/j.neuroimage.2014.01.060

Bhaumik, R., Pradhan, A., Das, S., & Bhaumik, D. K. (2018). Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation. Neuroinformatics, 16(2), 197-205. doi:10.1007/s12021-018-9366-0

Cavanna, A. E., & Trimble, M. R. (2006). The precuneus: a review of its functional anatomy and behavioural correlates. Brain, 129(3), 564-583. doi:10.1093/brain/awl004

Rolls, E. T. (2004). The functions of the orbitofrontal cortex. Brain and Cognition, 55(1), 11-29. doi:10.1016/s0278-2626(03)00277-x

Beer, J. S., John, O. P., Scabini, D., & Knight, R. T. (2006). Orbitofrontal Cortex and Social Behavior: Integrating Self-monitoring and Emotion-Cognition Interactions. Journal of Cognitive Neuroscience, 18(6), 871-879. doi:10.1162/jocn.2006.18.6.871

Li, W., Qin, W., Liu, H., Fan, L., Wang, J., Jiang, T., & Yu, C. (2013). Subregions of the human superior frontal gyrus and their connections. NeuroImage, 78, 46-58. doi:10.1016/j.neuroimage.2013.04.011

Di Martino, A., O’Connor, D., Chen, B., Alaerts, K., Anderson, J. S., Assaf, M., … Milham, M. P. (2017). Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Scientific Data, 4(1). doi:10.1038/sdata.2017.10

[-]

recommendations

 

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro completo del ítem