A principal component network analysis of prefrontal-limbic functional magnetic resonance imaging time series in schizophrenia patients and healthy controls.
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A review of feature reduction techniques in neuroimagingPower spectrum scale invariance quantifies limbic dysregulation in trait anxious adults using fMRI: adapting methods optimized for characterizing autonomic dysregulation to neural dynamic time seriesAn exponential random graph modeling approach to creating group-based representative whole-brain connectivity networksApplying fMRI complexity analyses to the single subject: a case study for proposed neurodiagnostics.Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks.
P2860
A principal component network analysis of prefrontal-limbic functional magnetic resonance imaging time series in schizophrenia patients and healthy controls.
description
2009 nî lūn-bûn
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2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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2009年學術文章
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2009年學術文章
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name
A principal component network ...... patients and healthy controls.
@en
A principal component network ...... patients and healthy controls.
@nl
type
label
A principal component network ...... patients and healthy controls.
@en
A principal component network ...... patients and healthy controls.
@nl
prefLabel
A principal component network ...... patients and healthy controls.
@en
A principal component network ...... patients and healthy controls.
@nl
P2860
P1433
P1476
A principal component network ...... patients and healthy controls.
@en
P2093
Anca R Rădulescu
P2860
P304
P356
10.1016/J.PSCYCHRESNS.2009.04.017
P407
P577
2009-11-02T00:00:00Z