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Literature DB >> 33899085

Lesion network mapping predicts post-stroke behavioural deficits and improves localization.

Alexander L Cohen^1,2,3, Michael A Ferguson², Michael D Fox^2,4,5.

Abstract

Entities: Chemical

Mesh：

Year: 2021 PMID： 33899085 PMCID： PMC8105033 DOI： 10.1093/brain/awab002

Source DB: PubMed Journal: Brain ISSN： 0006-8950 Impact factor: 15.255

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37 in total

1. Finding the imposter: brain connectivity of lesions causing delusional misidentifications.

Authors: R Ryan Darby; Simon Laganiere; Alvaro Pascual-Leone; Sashank Prasad; Michael D Fox
Journal: Brain Date: 2017-01-12 Impact factor: 13.501

2. Statistical power and prediction accuracy in multisite resting-state fMRI connectivity.

Authors: Christian Dansereau; Yassine Benhajali; Celine Risterucci; Emilio Merlo Pich; Pierre Orban; Douglas Arnold; Pierre Bellec
Journal: Neuroimage Date: 2017-02-02 Impact factor: 6.556

3. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features.

Authors: Zaixu Cui; Gaolang Gong
Journal: Neuroimage Date: 2018-06-02 Impact factor: 6.556

4. Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke.

Authors: Joshua Sarfaty Siegel; Lenny E Ramsey; Abraham Z Snyder; Nicholas V Metcalf; Ravi V Chacko; Kilian Weinberger; Antonello Baldassarre; Carl D Hacker; Gordon L Shulman; Maurizio Corbetta
Journal: Proc Natl Acad Sci U S A Date: 2016-07-11 Impact factor: 11.205

5. Common behavioral clusters and subcortical anatomy in stroke.

Authors: Maurizio Corbetta; Lenny Ramsey; Alicia Callejas; Antonello Baldassarre; Carl D Hacker; Joshua S Siegel; Serguei V Astafiev; Jennifer Rengachary; Kristina Zinn; Catherine E Lang; Lisa Tabor Connor; Robert Fucetola; Michael Strube; Alex R Carter; Gordon L Shulman
Journal: Neuron Date: 2015-03-04 Impact factor: 17.173

6. Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

Authors: Avram J Holmes; Marisa O Hollinshead; Timothy M O'Keefe; Victor I Petrov; Gabriele R Fariello; Lawrence L Wald; Bruce Fischl; Bruce R Rosen; Ross W Mair; Joshua L Roffman; Jordan W Smoller; Randy L Buckner
Journal: Sci Data Date: 2015-07-07 Impact factor: 6.444

7. Lesions causing hallucinations localize to one common brain network.

Authors: Na Young Kim; Joey Hsu; Daniel Talmasov; Juho Joutsa; Louis Soussand; Ona Wu; Natalia S Rost; Estrella Morenas-Rodríguez; Joan Martí-Fàbregas; Alvaro Pascual-Leone; Philip R Corlett; Michael D Fox
Journal: Mol Psychiatry Date: 2019-10-28 Impact factor: 15.992

Lesion network mapping predicts post-stroke behavioural deficits and improves localization.

1. Finding the imposter: brain connectivity of lesions causing delusional misidentifications.

2. Statistical power and prediction accuracy in multisite resting-state fMRI connectivity.

3. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features.

4. Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke.

5. Common behavioral clusters and subcortical anatomy in stroke.

6. Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures.

7. Lesions causing hallucinations localize to one common brain network.

8. The relation between statistical power and inference in fMRI.

9. A human memory circuit derived from brain lesions causing amnesia.

10. High resolution whole brain diffusion imaging at 7T for the Human Connectome Project.

Review 1. Mapping correlated neurological deficits after stroke to distributed brain networks.

2. Reply: Lesion network mapping predicts post-stroke behavioural deficits and improves localization.

3. Untapped Neuroimaging Tools for Neuro-Oncology: Connectomics and Spatial Transcriptomics.

4. Reply: Looking beyond indirect lesion network mapping of prosopagnosia: direct measures required.