ACID - Artefact correction in diffusion MRI

Studies using ACID Toolbox

Brain dMRI

Maillard, A.M., Ruef, A., Pizzagalli, F., Migliavacca, E., Hippolyte, L., Adaszewski, S., Dukart, J., Ferrari, C., Conus, P., Männik, K., Zazhytska, M., Siffredi, V., Maeder, P., Kutalik, Z., Kherif, F., Hadjikhani, N., Beckmann, J.S., Reymond, A., Draganski, B., Jacquemont, S., 2015. The 16p11.2 locus modulates brain structures common to autism, schizophrenia and obesity. Mol. Psychiatry 20, 140-147. https://doi.org/10.1038/mp.2014.145

Raja, R., Sinha, N., Saini, J., Mahadevan, A., Rao, K.N., Swaminathan, A., 2016. Assessment of tissue heterogeneity using diffusion tensor and diffusion kurtosis imaging for grading gliomas. Neuroradiology 58, 1217-1231. https://doi.org/10.1007/s00234-016-1758-y

Deppe, M., Krämer, J., Tenberge, J.G., Marinell, J., Schwindt, W., Deppe, K., Groppa, S., Wiendl, H., Meuth, S.G., 2016a. Early silent microstructural degeneration and atrophy of the thalamocortical network in multiple sclerosis. Hum. Brain Mapp. 37, 1866-1879. https://doi.org/10.1002/hbm.23144

Deppe, M., Tabelow, K., Krämer, J., Tenberge, J.G., Schiffler, P., Bittner, S., Schwindt, W., Zipp, F., Wiendl, H., Meuth, S.G., 2016b. Evidence for early, non-lesional cerebellar damage in patients with multiple sclerosis: DTI measures correlate with disability, atrophy, and disease duration. Mult. Scler. 22, 73-84. https://doi.org/10.1177/1352458515579439

Dossi, D.E., Chaves, H., Heck, E.S., MurÚa, S.R., Ventrice, F., Bakshi, R., Quintana, F.J., Correale, J., Farez, M.F., 2018. Effects of systolic blood pressure on brain integrity in multiple sclerosis. Front. Neurol. 9, 487. https://doi.org/10.3389/fneur.2018.00487

Kugler, A. V., Deppe, M., 2018. Non-lesional cerebellar damage in patients with clinically isolated syndrome: DTI measures predict early conversion into clinically definite multiple sclerosis. NeuroImage Clin. 19, 633-639. https://doi.org/10.1016/j.nicl.2018.04.028

Rossi-Espagnet, M.C., Lucignani, M., Pasquini, L., Napolitano, A., Pro, S., Romano, A., Diodato, D., Martinelli, D., Longo, D., 2020. Visual pathways evaluation in Kearns Sayre syndrome: a diffusion tensor imaging study. Neuroradiology 62, 241-249. https://doi.org/10.1007/s00234-019-02302-0

De Groote, S., Goudman, L., Peeters, R., Linderoth, B., Vanschuerbeek, P., Sunaert, S., De Jaeger, M., De Smedt, A., Moens, M., 2020. Magnetic Resonance Imaging Exploration of the Human Brain During 10 kHz Spinal Cord Stimulation for Failed Back Surgery Syndrome: A Resting State Functional Magnetic Resonance Imaging Study. Neuromodulation 23, 46-55.https://doi.org/10.1111/ner.12954

Szturm, T., Kolesar, T.A., Mahana, B., Goertzen, A.L., Hobson, D.E., Marotta, J.J., Strafella, A.P., Ko, J.H., 2021. Changes in Metabolic Activity and Gait Function by Dual-Task Cognitive Game-Based Treadmill System in Parkinson’s Disease: Protocol of a Randomized Controlled Trial. Front. Aging Neurosci. 13, 283. https://doi.org/10.3389/fnagi.2021.680270

Tam, E.W.Y., Kamino, D., Shatil, A.S., Chau, V., Moore, A.M., Brant, R., Widjaja, E., 2021. Hyperglycemia associated with acute brain injury in neonatal encephalopathy. NeuroImage Clin. 32, 102835. https://doi.org/10.1016/j.nicl.2021.102835

Paschoal, A.M., Zotin, M.C.Z., Costa, L.M. da, Santos, A.C. dos, Leoni, R.F., 2022. Feasibility of intravoxel incoherent motion in the assessment of tumor microvasculature and blood-brain barrier integrity: a case-based evaluation of gliomas. Magn. Reson. Mater. Physics, Biol. Med. 35, 17-27. https://doi.org/10.1007/s10334-021-00987-0

Marrie, Ruth Ann, et al. "Effects of vascular comorbidity on cognition in multiple sclerosis are partially mediated by changes in brain structure." Frontiers in neurology 13 (2022): 910014.https://doi.org/10.3389/fneur.2022.910014

Meyer-Arndt, Lil, et al. "Prefrontal-amygdala emotion regulation and depression in multiple sclerosis." Brain Communications 4.3 (2022): fcac152.https://doi.org/10.1093/braincomms/fcac152

Andica, Christina, et al. "Multimodal magnetic resonance imaging quantification of gray matter alterations in relapsing-remitting multiple sclerosis and neuromyelitis optica spectrum disorder." Journal of Neuroscience Research 100.7 (2022): 1395-1412.https://doi.org/10.1002/jnr.25035

Uddin, Md Nasir, et al. "The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines." Frontiers in Neuroimaging 1 (2022): 970385.https://doi.org/10.3389/fnimg.2022.970385

Paschoal, Andre Monteiro, et al. "Feasibility of intravoxel incoherent motion in the assessment of tumor microvasculature and blood-brain barrier integrity: a case-based evaluation of gliomas." Magnetic Resonance Materials in Physics, Biology and Medicine 35.1 (2022): 17-27.https://doi.org/10.1007/s10334-021-00987-0

Voicu, I. P., et al. "Developing a Predictive Grading Model for Children with Gliomas Based on Diffusion Kurtosis Imaging Metrics: Accuracy and Clinical Correlations with Patient Survival. Cancers 2022, 14, 4778." (2022).https://doi.org/10.3390/cancers14194778

Walker, Keenan A., et al. "MRI and fluid biomarkers reveal determinants of myelin and axonal loss with aging." Annals of clinical and translational neurology 10.3 (2023): 397-407.https://doi.org/10.1002/acn3.51730

Alsameen, Maryam H., et al. "C-NODDI: a constrained NODDI model for axonal density and orientation determinations in cerebral white matter." Frontiers in Neurology 14 (2023): 1205426.https://doi.org/10.3389%2Ffneur.2023.1205426

Milotta, Giorgia, et al. "Mitigating the impact of flip angle and orientation dependence in single compartment R2* estimates via 2-pool modeling." Magnetic Resonance in Medicine 89.1 (2023): 128-143.https://doi.org/10.1002/mrm.29428

Zhylka, A., et al. "Reconstruction of the Corticospinal Tract in Patients with Motor-Eloquent High-Grade Gliomas Using Multilevel Fiber Tractography Combined with Functional Motor Cortex Mapping." American Journal of Neuroradiology (2023).https://doi.org/10.3174/ajnr.A7793

Spinal cord dMRI

Grabher, P., Mohammadi, S., Trachsler, A., Friedl, S., David, G., Sutter, R., Weiskopf, N., Thompson, A.J., Curt, A., Freund, P., 2016. Voxel-based analysis of grey and white matter degeneration in cervical spondylotic myelopathy. Sci. Rep. 6, 1-10. https://doi.org/10.1038/srep24636

Grabher, P., Mohammadi, S., David, G., Freund, P., 2017. Neurodegeneration in the Spinal Ventral Horn Prior to Motor Impairment in Cervical Spondylotic Myelopathy. J. Neurotrauma 34, 2329-2334. https://doi.org/10.1089/neu.2017.4980

Huber, E., David, G., Thompson, A.J., Weiskopf, N., Mohammadi, S., Freund, P., 2018. Dorsal and ventral horn atrophy is associated with clinical outcome after spinal cord injury. Neurology. https://doi.org/10.1212/WNL.0000000000005361

David, G., Seif, M., Huber, E., Hupp, M., Rosner, J., Dietz, V., Weiskopf, N., Mohammadi, S., Freund, P., 2019. In vivo evidence of remote neural degeneration in the lumbar enlargement after cervical injury. Neurology 92. https://doi.org/10.1212/WNL.0000000000007137

Seif, M., David, G., Huber, E., Vallotton, K., Curt, A., Freund, P., 2020. Cervical Cord Neurodegeneration in Traumatic and Non-Traumatic Spinal Cord Injury. J. Neurotrauma 37, 860-867. https://doi.org/10.1089/neu.2019.6694

Vallotton, K., David, G., Hupp, M., Pfender, N., Cohen-Adad, J., Fehlings, M.G., Samson, R.S., Wheeler-Kingshott, C.A.M.G., Curt, A., Freund, P., Seif, M., 2021. Tracking White and Gray Matter Degeneration along the Spinal Cord Axis in Degenerative Cervical Myelopathy. J. Neurotrauma. https://doi.org/10.1089/neu.2021.0148

David, G., Pfyffer, D., Vallotton, K., Pfender, N., Thompson, A., Weiskopf, N., Mohammadi, S., Curt, A., Freund, P., 2021. Longitudinal changes of spinal cord grey and white matter following spinal cord injury. J. Neurol. Neurosurg. Psychiatry 0, 1-9. https://doi.org/10.1136/jnnp-2021-326337

David, G., Vallotton, K., Hupp, M., Curt, A., Freund, P., Seif, M., 2022. Extent of Cord Pathology in the Lumbosacral Enlargement in Non-Traumatic versus Traumatic Spinal Cord Injury. J. Neurotrauma. https://doi.org/10.1089/neu.2021.0389

dMRI in other regions

Besson, F.L., Fernandez, B., Faure, S., Mercier, O., Seferian, A., Blanchet, É., Mignard, X., Chetouani, A., Bulifon, S., Mussot, S., Parent, F., Bouderraoui, F., Montani, D., Mitilian, D., Fadel, E., Ghigna-Bellinzoni, M.R., Cherkaoui, H., Comtat, C., Lebon, V., Durand, E., 2020. Diffusion-weighted Imaging Voxelwise-matched Analyses of Lung Cancer at 3.0-T PET/MRI: Reverse Phase Encoding Approach for Echo-planar Imaging Distortion Correction. Radiology 295, 692-700. https://doi.org/10.1148/radiol.2020192013

Oeschger, Jan Malte, Karsten Tabelow, and Siawoosh Mohammadi. "Axisymmetric diffusion kurtosis imaging with Rician bias correction: A simulation study." Magnetic Resonance in Medicine 89.2 (2023): 787-799.https://doi.org/10.1002/mrm.29474