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@ARTICLE{Sbaihat:905647,
      author       = {Sbaihat, Hasan Mohammad Hasan and Rajkumar, Ravichandran
                      and Ramkiran, Shukti and Assi, Abed Al-Nasser and Felder,
                      Jörg and Shah, N. J. and Veselinović, Tanja and Neuner,
                      Irene},
      title        = {{T}est–retest stability of spontaneous brain activity and
                      functional connectivity in the core resting‐state networks
                      assessed with ultrahigh field 7‐{T}esla resting‐state
                      functional magnetic resonance imaging},
      journal      = {Human brain mapping},
      volume       = {43},
      number       = {6},
      issn         = {1065-9471},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {FZJ-2022-00874},
      pages        = {2026-2040},
      year         = {2022},
      abstract     = {The growing demand for precise and reliable biomarkers in
                      psychiatry is fueling research interest in the hope that
                      identifying quantifiable indicators will improve diagnoses
                      and treatment planning across a range of mental health
                      conditions. The individual properties of brain networks at
                      rest have been highlighted as a possible source for such
                      biomarkers, with the added advantage that they are
                      relatively straightforward to obtain. However, an important
                      prerequisite for their consideration is their
                      reproducibility. While the reliability of resting-state (RS)
                      measurements has often been studied at standard field
                      strengths, they have rarely been investigated using
                      ultrahigh-field (UHF) magnetic resonance imaging (MRI)
                      systems. We investigated the intersession stability of four
                      functional MRI RS parameters—amplitude of low-frequency
                      fluctuations (ALFF) and fractional ALFF (fALFF; representing
                      the spontaneous brain activity), regional homogeneity (ReHo;
                      measure of local connectivity), and degree centrality (DC;
                      measure of long-range connectivity)—in three RS networks,
                      previously shown to play an important role in several
                      psychiatric diseases—the default mode network (DMN), the
                      central executive network (CEN), and the salience network
                      (SN). Our investigation at individual subject space revealed
                      a strong stability for ALFF, ReHo, and DC in all three
                      networks, and a moderate level of stability in fALFF.
                      Furthermore, the internetwork connectivity between each
                      network pair was strongly stable between CEN/SN and
                      moderately stable between DMN/SN and DMN/SN. The high degree
                      of reliability and reproducibility in capturing the
                      properties of the three major RS networks by means of
                      UHF-MRI points to its applicability as a potentially useful
                      tool in the search for disease-relevant biomarkers.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {35044722},
      UT           = {WOS:000744077400001},
      doi          = {10.1002/hbm.25771},
      url          = {https://juser.fz-juelich.de/record/905647},
}