Results 121 to 130 of about 5,006,415 (321)

Backward Stochastic Differential Equations-guided Generative Model for Structural-to-functional Neuroimage Translator [PDF]

arXiv
A Method for structural-to-functional neuroimage ...
arxiv  

Unraveling Multimodal Brain Signatures: Deciphering Transdiagnostic Dimensions of Psychopathology in Adolescents

Advanced Intelligent Systems, EarlyView.
This study, utilizing two large‐cohort datasets, employs interpretable neural networks. It demonstrates that incorporating brain morphology and functional and structural networks enhances predictive accuracy for general psychopathology and its dimensions.
Jing Xia, Nanguang Chen, Anqi Qiu
wiley   +1 more source

Brain Activations in Schizophrenia During a Graded Memory Task Studied With Functional Neuroimaging [PDF]

, 1998
Paul C. Fletcher, Peter J. McKenna, Chris Frith, Paul M. Grasby, Karl Friston, Raymond J. Dolan   +5 more
openalex   +1 more source

Natural History and Diagnostic Findings in an Adult Man Diagnosed With Attenuated Krabbe Disease

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Krabbe disease (KD), or globoid cell leukodystrophy, is a rare autosomal recessive lysosomal storage disorder caused by a deficiency in galactocerebrosidase (GALC), leading to psychosine (galactosylsphingosine) accumulation and myelin damage.
Eamon P. McCarron, Andrew Oldham, Amit Herwadkar, Sarah Jenkinson, Christopher Campbell, Kate Neal, Heather J. Church, James A. Cooper, Karolina M. Stepien   +8 more
wiley   +1 more source

Defining the pig microglial transcriptome reveals its core signature, regional heterogeneity, and similarity with human and rodent microglia

Glia, Volume 71, Issue 2, Page 334-349, February 2023., 2023
Main Points Defined a pig microglial transcriptome signature comprising 239 genes. Demonstrated regional variance in the pig microglial transcriptome across the brain. Revealed similarity of pig microglial gene expression to that of human and mouse microglia.
Barbara B. Shih, Sarah M. Brown, Jack Barrington, Lucas Lefevre, Neil A. Mabbott, Josef Priller, Gerard Thompson, Alistair B. Lawrence, Barry W. McColl   +8 more
wiley   +1 more source

The Importance of Functional Neuroimaging in the Assessment of Patients With Epilepsy: In Response [PDF]

, 1996
Elson L. So
openalex   +1 more source

Functional and effective connectivity in neuroimaging: A synthesis

, 1994
The brain appears to adhere to two principles of functional organization; functional segregation and functional integration. The integration within and between functionally specialized areas is mediated by functional or effective connectivity.
Karl J. Friston
semanticscholar   +1 more source

Expanding the Tyrosine Kinase Domain of CSF1R? A Case Report From an Adult‐Onset Leukoencephalopathy

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Adult‐onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP), also termed hereditary diffuse leukoencephalopathy with spheroids‐1 (HDLS1), results from mutations in the CSF1R gene and leads to progressive leukoencephalopathy.
Piervito Lopriore, Gianmichele Migaleddu, Pei‐Chien Tsai, Antonella Fogli, Maria Adelaide Caligo, Gabriele Siciliano, Mirco Cosottini, Yi‐Chung Lee, Yi‐Chu Liao, Michelangelo Mancuso, Roberto Ceravolo, Daniela Frosini   +11 more
wiley   +1 more source

Pyrcca: regularized kernel canonical correlation analysis in Python and its applications to neuroimaging [PDF]

arXiv, 2015
Canonical correlation analysis (CCA) is a valuable method for interpreting cross-covariance across related datasets of different dimensionality. There are many potential applications of CCA to neuroimaging data analysis. For instance, CCA can be used for finding functional similarities across fMRI datasets collected from multiple subjects without ...
arxiv  

Classical fear conditioning in functional neuroimaging [PDF]

, 2000
Christian Büchel
openalex   +1 more source