Your browser doesn't support javascript.
loading
Ultra-slow Oscillations in fMRI and Resting-State Connectivity: Neuronal and Vascular Contributions and Technical Confounds.
Drew, Patrick J; Mateo, Celine; Turner, Kevin L; Yu, Xin; Kleinfeld, David.
  • Drew PJ; Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA; Department of Neurosurgery, Pennsylvania State University, University Park, PA 16802, U
  • Mateo C; Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA.
  • Turner KL; Department of Biomedical Engineering, Pennsylvania State University, University Park, PA 16802, USA.
  • Yu X; High-Field Magnetic Resonance Department, Max Planck Institute for Biological Cybernetics, 72076 Tübingen, Germany; MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA 02114, USA.
  • Kleinfeld D; Department of Physics, University of California, San Diego, La Jolla, CA 92093, USA; Section of Neurobiology, University of California, San Diego, La Jolla, CA 92093, USA. Electronic address: dk@physics.ucsd.edu.
Neuron ; 107(5): 782-804, 2020 09 09.
Article en En | MEDLINE | ID: mdl-32791040
ABSTRACT
Ultra-slow, ∼0.1-Hz variations in the oxygenation level of brain blood are widely used as an fMRI-based surrogate of "resting-state" neuronal activity. The temporal correlations among these fluctuations across the brain are interpreted as "functional connections" for maps and neurological diagnostics. Ultra-slow variations in oxygenation follow a cascade. First, they closely track changes in arteriole diameter. Second, interpretable functional connections arise when the ultra-slow changes in amplitude of γ-band neuronal oscillations, which are shared across even far-flung but synaptically connected brain regions, entrain the ∼0.1-Hz vasomotor oscillation in diameter of local arterioles. Significant confounds to estimates of functional connectivity arise from residual vasomotor activity as well as arteriole dynamics driven by self-generated movements and subcortical common modulatory inputs. Last, methodological limitations of fMRI can lead to spurious functional connections. The neuronal generator of ultra-slow variations in γ-band amplitude, including that associated with self-generated movements, remains an open issue.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico / Red Nerviosa Límite: Animals / Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Encéfalo / Mapeo Encefálico / Red Nerviosa Límite: Animals / Humans Idioma: En Año: 2020 Tipo del documento: Article