Literature DB >> 24081830

Brainography: an atlas-independent surface and network rendering tool for neural connectivity visualization.

E LoCastro1, A Kuceyeski, A Raj.   

Abstract

Mesh：

Year:  2014        PMID： 24081830     DOI： 10.1007/s12021-013-9206-1

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN： 1539-2791


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  7 in total

1.  Structural connectome disruption at baseline predicts 6-months post-stroke outcome.

Authors:  Amy Kuceyeski; Babak B Navi; Hooman Kamel; Ashish Raj; Norman Relkin; Joan Toglia; Costantino Iadecola; Michael O'Dell
Journal:  Hum Brain Mapp       Date:  2016-03-26       Impact factor: 5.038

2.  Regional vulnerability in Alzheimer's disease: The role of cell-autonomous and transneuronal processes.

Authors:  Diana Acosta; Fontasha Powell; Yize Zhao; Ashish Raj
Journal:  Alzheimers Dement       Date:  2018-01-04       Impact factor: 21.566

3.  Preserved Structural Network Organization Mediates Pathology Spread in Alzheimer's Disease Spectrum Despite Loss of White Matter Tract Integrity.

Authors:  Fon Powell; Duygu Tosun; Roksana Sadeghi; Michael Weiner; Ashish Raj
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

4.  Network-constrained technique to characterize pathology progression rate in Alzheimer's disease.

Authors:  Fon Powell; Duygu Tosun; Ashish Raj
Journal:  Brain Commun       Date:  2021-07-15

5.  SynCoPa: Visualizing Connectivity Paths and Synapses Over Detailed Morphologies.

Authors:  Sergio E Galindo; Pablo Toharia; Oscar D Robles; Luis Pastor
Journal:  Front Neuroinform       Date:  2021-12-27       Impact factor: 4.081

6.  A Multi-Ligand Imaging Study Exploring GABAergic Receptor Expression and Inflammation in Multiple Sclerosis.

Authors:  Yeona Kang; Sandra Milena Hurtado Rúa; Ulrike W Kaunzner; Jai Perumal; Nancy Nealon; Wenchao Qu; Paresh J Kothari; Timothy Vartanian; Amy Kuceyeski; Susan A Gauthier
Journal:  Mol Imaging Biol       Date:  2020-12       Impact factor: 3.488

7.  Baseline biomarkers of connectome disruption and atrophy predict future processing speed in early multiple sclerosis.

Authors:  A Kuceyeski; E Monohan; E Morris; K Fujimoto; W Vargas; S A Gauthier
Journal:  Neuroimage Clin       Date:  2018-05-08       Impact factor: 4.881
  7 in total

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