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Research ArticleBRAIN TUMOR IMAGING

Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma

Nicholas S. Cho, Chencai Wang, Kathleen Van Dyk, Francesco Sanvito, Sonoko Oshima, Jingwen Yao, Albert Lai, Noriko Salamon, Timothy F. Cloughesy, Phioanh L. Nghiemphu and Benjamin M. Ellingson
American Journal of Neuroradiology June 2024, DOI: https://doi.org/10.3174/ajnr.A8327
Nicholas S. Cho
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
cDepartment of Bioengineering (N.S.C., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
dMedical Scientist Training Program (N.S.C.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Chencai Wang
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Kathleen Van Dyk
eDepartment of Psychiatry and Biobehavioral Sciences (K.V.D, B.M.E.), David Geffen School of Medicine, Semel Institute, University of California Los Angeles, Los Angeles, California
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Francesco Sanvito
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Sonoko Oshima
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Jingwen Yao
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Albert Lai
fUCLA Neuro-Oncology Program (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
gDepartment of Neurology (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Noriko Salamon
bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Timothy F. Cloughesy
fUCLA Neuro-Oncology Program (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
gDepartment of Neurology (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Phioanh L. Nghiemphu
fUCLA Neuro-Oncology Program (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
gDepartment of Neurology (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Benjamin M. Ellingson
aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
cDepartment of Bioengineering (N.S.C., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
eDepartment of Psychiatry and Biobehavioral Sciences (K.V.D, B.M.E.), David Geffen School of Medicine, Semel Institute, University of California Los Angeles, Los Angeles, California
hDepartment of Neurosurgery (B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A8327
PubMed 
38719607

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received April 1, 2024
  • Accepted after revision May 1, 2024
  • Published online June 20, 2024.

Article Versions

  • Latest version (May 7, 2024 - 09:51).
  • You are currently viewing a Latest version of this article (June 20, 2024 - 09:24).
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Copyright & Usage 
© 2024 by American Journal of Neuroradiology

Author Information

  1. Nicholas S. Choa,b,c,d,¥,
  2. Chencai Wanga,b,¥,
  3. Kathleen Van Dyke,
  4. Francesco Sanvitoa,b,
  5. Sonoko Oshimaa,b,
  6. Jingwen Yaoa,b,
  7. Albert Laif,g,
  8. Noriko Salamonb,
  9. Timothy F. Cloughesyf,g,
  10. Phioanh L. Nghiemphuf,g and
  11. Benjamin M. Ellingsona,c,e,h
  1. aFrom the UCLA Brain Tumor Imaging Laboratory (BTIL) (N.S.C., C.W., F.S., S.O., J.Y., B.M.E.), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, California
  2. bDepartment of Radiological Sciences (N.S.C., C.W., F.S., S.O., J.Y., N.S., B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
  3. cDepartment of Bioengineering (N.S.C., B.M.E.), Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, California
  4. dMedical Scientist Training Program (N.S.C.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
  5. eDepartment of Psychiatry and Biobehavioral Sciences (K.V.D, B.M.E.), David Geffen School of Medicine, Semel Institute, University of California Los Angeles, Los Angeles, California
  6. fUCLA Neuro-Oncology Program (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
  7. gDepartment of Neurology (A.L., T.F.C., P.L.N.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
  8. hDepartment of Neurosurgery (B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
  1. Please address correspondence to Benjamin M. Ellingson, PhD, Director, UCLA Brain Tumor Imaging Laboratory (BTIL), Professor of Radiology, Psychiatry, and Neurosurgery, Departments of Radiological Sciences, Psychiatry, and Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA 90024; e-mail: bellingson{at}mednet.ucla.edu; Phone: 310-481-7572, Fax: 310-794-2796
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Funding

  • NIH/NCI

    F30CA284809; K08CA241337; P50CA211015; R01CA270027; R01CA279984
  • NIH/NIGMS

    T32GM008042
  • DoD/CDMRP

    CA220732
  • IGN Foundation

  • Memorial Funds of Jeri Weiss

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Cite this article
Nicholas S. Cho, Chencai Wang, Kathleen Van Dyk, Francesco Sanvito, Sonoko Oshima, Jingwen Yao, Albert Lai, Noriko Salamon, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Benjamin M. Ellingson
Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma
American Journal of Neuroradiology Jun 2024, DOI: 10.3174/ajnr.A8327

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Pseudo-Resting-State Functional MRI Derived from Dynamic Susceptibility Contrast Perfusion MRI Can Predict Cognitive Impairment in Glioma
Nicholas S. Cho, Chencai Wang, Kathleen Van Dyk, Francesco Sanvito, Sonoko Oshima, Jingwen Yao, Albert Lai, Noriko Salamon, Timothy F. Cloughesy, Phioanh L. Nghiemphu, Benjamin M. Ellingson
American Journal of Neuroradiology Jun 2024, DOI: 10.3174/ajnr.A8327
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