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Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
Frontiers in Neuroinformatics, 2011 Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. Several sophisticated software packages (e.g., AFNI, BrainVoyager, FSL, FreeSurfer, Nipy, R, SPM) are used
Dav Clark +2 more
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Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate
NeuroImage, 2002 C. Genovese, N. Lazar, Thomas E. Nichols
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Ten simple rules for neuroimaging meta-analysis
Neuroscience and Biobehavioral Reviews, 2018 HighlightsMeta‐analyses require a consistent approach but specific guidelines are lacking.Best‐practice recommendations for conducting neuroimaging meta‐analyses are proposed.We set standards regarding which information should be reported for meta ...
Edna C Cieslik +2 more
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Machine learning for neuroimaging with scikit-learn [PDF]
Frontiers in Neuroinformatics, 2014 Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of activation images or resting-state time series.
Alexandre Abraham +2 more
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Current Biology, 1992
Recent advances in neuroimaging have led to an increase in the types of studies possible in the field of cognitive neuroscience. Researchers are now using neuroimaging to enhance classic approaches, such as lesion-behavior studies, as well as provide information about normal functions at levels that were previously difficult to assess.
S E, Petersen, J A, Fiez, M, Corbetta
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Recent advances in neuroimaging have led to an increase in the types of studies possible in the field of cognitive neuroscience. Researchers are now using neuroimaging to enhance classic approaches, such as lesion-behavior studies, as well as provide information about normal functions at levels that were previously difficult to assess.
S E, Petersen, J A, Fiez, M, Corbetta
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Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
NeuroImage, 2017 Neuroimaging‐based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modalities such as structural, functional and diffusion MRI, along with machine learning techniques, hundreds
Sergey M Plis, Jing Sui, Vd Calhoun
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Emergency Medicine Clinics of North America, 1997
Nonenhanced CT scan remains the most valuable and available neuroimaging study available in the ED. Nonenhanced CT scans are excellent for identifying acute hemorrhage, mass lesions, hydrocephalus, and cerebral edema. It is of limited value in identifying old blood, small abscesses and tumors, arteriovenous malformations, and aneurysms; in these cases,
J, Araiza, B, Araiza
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Nonenhanced CT scan remains the most valuable and available neuroimaging study available in the ED. Nonenhanced CT scans are excellent for identifying acute hemorrhage, mass lesions, hydrocephalus, and cerebral edema. It is of limited value in identifying old blood, small abscesses and tumors, arteriovenous malformations, and aneurysms; in these cases,
J, Araiza, B, Araiza
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2009
Neuroimaging plays a crucial role in establishing the diagnosis, planning the therapy, as well as evaluating therapeutic effects and detecting early recurrence in brain tumors. It has evolved from a morphology-driven discipline to the multimodal assessment of CNS lesions, incorporating biochemistry (e.g., indicators of cell membrane synthesis) as well ...
R, Klingebiel, G, Bohner
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Neuroimaging plays a crucial role in establishing the diagnosis, planning the therapy, as well as evaluating therapeutic effects and detecting early recurrence in brain tumors. It has evolved from a morphology-driven discipline to the multimodal assessment of CNS lesions, incorporating biochemistry (e.g., indicators of cell membrane synthesis) as well ...
R, Klingebiel, G, Bohner
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Seminars in Pediatric Neurology, 2020
Significant advances in the field of neonatal imaging has resulted in the generation of large complex data sets of relevant information for routine daily clinical practice, and basic and translational research. The evaluation of this data is a complex task for the neonatal imager who must distinguish normal and incidental findings from clinically ...
Jeffrey H, Miller +2 more
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Significant advances in the field of neonatal imaging has resulted in the generation of large complex data sets of relevant information for routine daily clinical practice, and basic and translational research. The evaluation of this data is a complex task for the neonatal imager who must distinguish normal and incidental findings from clinically ...
Jeffrey H, Miller +2 more
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2020
Characterizing the neuroanatomical correlates of brain development is essential in understanding brain-behavior relationships and neurodevelopmental disorders. Advances in brain MRI acquisition protocols and image processing techniques have made it possible to detect and track with great precision anatomical brain development and pediatric neurologic ...
Natacha, Paquette +2 more
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Characterizing the neuroanatomical correlates of brain development is essential in understanding brain-behavior relationships and neurodevelopmental disorders. Advances in brain MRI acquisition protocols and image processing techniques have made it possible to detect and track with great precision anatomical brain development and pediatric neurologic ...
Natacha, Paquette +2 more
openaire +2 more sources