Number of the records: 1
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies
- 1.
SYSNO ASEP 0545852 Document Type J - Journal Article R&D Document Type The record was not marked in the RIV Subsidiary J Článek ve WOS Title Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies Author(s) Keilholz, S. (US)
Pan, W.J. (US)
Billings, Jacob (UIVT-O) SAI, ORCID, RID
Nezafati, M. (US)
Shakil, S. (US)Number of authors 5 Source Title Neuroimage. - : Elsevier - ISSN 1053-8119
Roč. 154 (2017), s. 267-281Language eng - English Country US - United States Keywords resting-state fmri ; cerebral-blood-flow ; low-frequency oscillations ; anti-correlated networks ; default mode network ; functional connectivity ; global signal ; brain networks ; somatosensory stimulation ; mouse-brain ; fMRI ; rs-fMRI ; Functional connectivity ; Functional MRI ; Noise ; Non-neuronal contributions ; Animal studies UT WOS 000405055900023 EID SCOPUS 85011095620 DOI 10.1016/j.neuroimage.2016.12.019 Annotation The BOLD signal reflects hemodynamic events within the brain, which in turn are driven by metabolic changes and neural activity. However, the link between BOLD changes and neural activity is indirect and can be influenced by a number of non-neuronal processes. Motion and physiological cycles have long been known to affect the BOLD signal and are present in both humans and animal models. Differences in physiological baseline can also contribute to intra- and inter-subject variability. The use of anesthesia, common in animal studies, alters neural activity, vascular tone, and neurovascular coupling. Most intriguing, perhaps, are the contributions from other processes that do not appear to be neural in origin but which may provide information about other aspects of neurophysiology. This review discusses different types of noise and nonneuronal contributors to the BOLD signal, sources of variability for animal studies, and insights to be gained from animal models. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2022
Number of the records: 1