Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies

0545852 - ÚI 2022 US eng J - Journal Article
Keilholz, S. - Pan, W.J. - Billings, Jacob - Nezafati, M. - Shakil, S.
Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.
Neuroimage. Roč. 154 (2017), s. 267-281. ISSN 1053-8119. E-ISSN 1095-9572
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
Impact factor: 5.426, year: 2017

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.
Permanent Link: http://hdl.handle.net/11104/0322488