Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data: The Promise of Data-Driven Computational Approaches

Yuval Neria; Amit Lazarov; Xi Zhu

doi:10.1016/j.bpsc.2021.11.002

Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data: The Promise of Data-Driven Computational Approaches

Yuval Neria^*, Amit Lazarov, Xi Zhu

^*Corresponding author for this work

School of Psychological Sciences

Research output: Contribution to journal › Comment/debate

Original language	English
Pages (from-to)	121-123
Number of pages	3
Journal	Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
Volume	7
Issue number	2
DOIs	https://doi.org/10.1016/j.bpsc.2021.11.002
State	Published - Feb 2022

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10.1016/j.bpsc.2021.11.002

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title = "Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data: The Promise of Data-Driven Computational Approaches",

author = "Yuval Neria and Amit Lazarov and Xi Zhu",

note = "Funding Information: This work was supported by National Institute of Mental Health Grant Nos. R01 MH105355 and R01 MH072833 (to YN), Israel Science Foundation Grant No. 374/20 (to AL), and a Brain and Behavior Research Foundation Grant and National Institute of Mental Health Grant No. K01 MH122774 (to XZ). ",

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doi = "10.1016/j.bpsc.2021.11.002",

language = "אנגלית",

volume = "7",

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journal = "Biological Psychiatry: Cognitive Neuroscience and Neuroimaging",

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Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data : The Promise of Data-Driven Computational Approaches. / Neria, Yuval; Lazarov, Amit; Zhu, Xi.

In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Vol. 7, No. 2, 02.2022, p. 121-123.

Research output: Contribution to journal › Comment/debate

TY - JOUR

T1 - Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data

T2 - The Promise of Data-Driven Computational Approaches

AU - Neria, Yuval

AU - Lazarov, Amit

AU - Zhu, Xi

N1 - Funding Information: This work was supported by National Institute of Mental Health Grant Nos. R01 MH105355 and R01 MH072833 (to YN), Israel Science Foundation Grant No. 374/20 (to AL), and a Brain and Behavior Research Foundation Grant and National Institute of Mental Health Grant No. K01 MH122774 (to XZ).

PY - 2022/2

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U2 - 10.1016/j.bpsc.2021.11.002

DO - 10.1016/j.bpsc.2021.11.002

M3 - תגובה / דיון

C2 - 35131047

AN - SCOPUS:85123872744

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SP - 121

EP - 123

JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

SN - 2451-9022

IS - 2

ER -

Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data: The Promise of Data-Driven Computational Approaches

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