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@ARTICLE{Feige:285027,
      author       = {Feige, Bernd and von Zedtwitz, Katharina and Matteit,
                      Isabelle and Schlump, Andrea and Coenen, Volker A and
                      Nickel, Kathrin and Runge, Kimon and Prüss, Harald and Rau,
                      Alexander and Reisert, Marco and Matthies, Swantje and
                      Domschke, Katharina and Maier, Simon J and Tebartz van Elst,
                      Ludger and Endres, Dominique},
      title        = {{F}unctional {B}rain {A}ctivity {A}ssociated {W}ith
                      {I}ntermittent {R}hythmic {D}elta/{T}heta {A}ctivity: {A}
                      {T}ransdiagnostic {E}lectroencephalography-{F}unctional
                      {M}agnetic {R}esonance {I}maging {R}esting-{S}tate {S}tudy.},
      journal      = {Biological psychiatry: global open science},
      volume       = {6},
      number       = {2},
      issn         = {2667-1743},
      address      = {Amsterdam},
      publisher    = {Elsevier},
      reportid     = {DZNE-2026-00152},
      pages        = {100661},
      year         = {2026},
      abstract     = {Intermittent rhythmic delta/theta activity (IRDA/IRTA)
                      detected via electroencephalography (EEG) has been
                      implicated in the pathophysiology of neuropsychiatric
                      illnesses. Therefore, a combined EEG and functional magnetic
                      resonance imaging (fMRI) approach was applied in a
                      transdiagnostic group of patients with different
                      causalities, i.e., autoimmune-mediated (in suspected
                      autoimmune psychiatric syndromes [APS]) and primary
                      psychiatric (borderline personality disorder [BPD])
                      causalities, as well as in healthy control (HC)
                      participants, to characterize the brain regions functionally
                      correlated with IRDA/IRTA.Overall, 135 EEG-fMRI datasets met
                      the quality criteria, including 33 patients with suspected
                      APS, 59 cases with BPD, and 43 HC participants. fMRI data
                      were obtained using ultrafast MR encephalography and
                      analyzed using AFNI. IRDA/IRTA events were separated from
                      artifacts using independent component analysis and detected
                      algorithmically. Brain regions (clusters) significantly
                      correlated with IRDA/IRTA were first determined in all
                      participants. Clusters occurring across all groups were
                      classified as consensus areas. The groups were also analyzed
                      individually, adding disease- or disorder-specific clusters
                      not overlapping with the consensus areas.Eleven consensus
                      areas were identified across the 3 groups: 5 of them showed
                      increased activity (Brodmann area [BA] 43-right [r], BA
                      2-left [l], BA 4-r, BA 18-r, BA 26/29/30-r), and 6 had
                      reduced activity (BA 39-l, BA 10-l, BA 23-l, BA 19-l, BA
                      10-r, BA 18-l). The APS group showed 5 additional clusters,
                      all with reduced activity (BAs 39-r, 1/3-r, 8-r, 4-l, 21-r).
                      The BPD group showed one further cluster with increased
                      activity (BA 17-l).In this study, IRDA/IRTA-related brain
                      activity changes across the groups were identified, with
                      excitatory brain activity especially in
                      fronto-centro-temporal brain areas with similarities to the
                      salience network. Additional disease- or disorder-specific
                      changes were discovered in APS and BPD.},
      keywords     = {Autoimmune psychosis (Other) / Borderline personality
                      disorder (Other) / EEG slowing (Other) / Epilepsy (Other) /
                      Excitation (Other) / MREG (Other)},
      cin          = {AG Prüß},
      ddc          = {610},
      cid          = {I:(DE-2719)1810003},
      pnm          = {353 - Clinical and Health Care Research (POF4-353)},
      pid          = {G:(DE-HGF)POF4-353},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:41630827},
      pmc          = {pmc:PMC12861157},
      doi          = {10.1016/j.bpsgos.2025.100661},
      url          = {https://pub.dzne.de/record/285027},
}