Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Vladimir L Cherkassky"'
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e113879 (2014)
Autism is a psychiatric/neurological condition in which alterations in social interaction (among other symptoms) are diagnosed by behavioral psychiatric methods. The main goal of this study was to determine how the neural representations and meanings
Externí odkaz:
https://doaj.org/article/430e6071fae347ecb9957c769da3157e
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e66032 (2013)
We attempt to determine the discriminability and organization of neural activation corresponding to the experience of specific emotions. Method actors were asked to self-induce nine emotional states (anger, disgust, envy, fear, happiness, lust, pride
Externí odkaz:
https://doaj.org/article/4dd9de6f633645b4bacb5087ee127b55
Publikováno v:
PLoS ONE, Vol 5, Iss 1, p e8622 (2010)
This article describes the discovery of a set of biologically-driven semantic dimensions underlying the neural representation of concrete nouns, and then demonstrates how a resulting theory of noun representation can be used to identify simple though
Externí odkaz:
https://doaj.org/article/bc57ba3363524a40baa0ea2cd2f9e8e7
Autor:
Marcel Adam Just, Lisa Pan, Vladimir L. Cherkassky, Dana L. McMakin, Christine Cha, Matthew K. Nock, David Brent
Publikováno v:
Nat Hum Behav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049765b807a08b9fc09d0c9957a82f4f
https://doi.org/10.1038/s41562-023-01581-1
https://doi.org/10.1038/s41562-023-01581-1
Reply to: Towards increasing the clinical applicability of machine learning biomarkers in psychiatry
Publikováno v:
Nature Human Behaviour. 5:433-435
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a503417b8446d0650b8de62fde760d
https://doi.org/10.1038/s41562-021-01086-9
https://doi.org/10.1038/s41562-021-01086-9
Publikováno v:
NeuroImage, Vol 157, Iss, Pp 511-520 (2017)
Although it has been possible to identify individual concepts from a concept's brain activation pattern, there have been significant obstacles to identifying a proposition from its fMRI signature. Here we demonstrate the ability to decode individual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb666b18731ecf24188fb660df364f57
This study extended cross-language semantic decoding (based on a concept’s fMRI signature) to the decoding of sentences across three different languages (English, Portuguese and Mandarin). A classifier was trained on either the mapping between word
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1688f3a3d8a572bf6fc43fa38371f764
Autor:
Matthew K. Nock, Vladimir L. Cherkassky, Marcel Adam Just, Lisa Pan, Dana L. McMakin, Christine B. Cha, David A. Brent
Publikováno v:
Nature Human Behaviour. 1:911-919
The clinical assessment of suicidal risk would be substantially complemented by a biologically based measure that assesses alterations in the neural representations of concepts related to death and life in people who engage in suicidal ideation. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30e9381b39eea8b847e9ebcb98534f88
https://doi.org/10.1038/s41562-017-0234-y
https://doi.org/10.1038/s41562-017-0234-y
Autor:
Timothy A. Keller, Marcel Adam Just, Lisa Pan, Henry W. Chase, Vladimir L. Cherkassky, David A. Brent, Anna Maria Segreti
Publikováno v:
Journal of Affective Disorders. 212:78-85
The 'default mode network' (DMN), a collection of brain regions including the posterior cingulate cortex (PCC), shows reliable inter-regional functional connectivity at rest. It has been implicated in rumination and other negative affective states, b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2e634a9898962f3fcc2da51c702703b
https://doi.org/10.1016/j.jad.2017.01.013
https://doi.org/10.1016/j.jad.2017.01.013
Publikováno v:
Human Brain Mapping. 37:1296-1307
Machine learning or MVPA (Multi Voxel Pattern Analysis) studies have shown that the neural representation of quantities of objects can be decoded from fMRI patterns, in cases where the quantities were visually displayed. Here we apply these technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfae29dfd7114649db28a701dbcd7fc9
https://doi.org/10.1002/hbm.23102
https://doi.org/10.1002/hbm.23102