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Frontiers in Neuroimaging is a peer-reviewed journal published by Frontiers, covering Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications. Over its lifetime it has published 210 papers, which have received 1,098 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Frontiers in Neuroimaging, 12(3), pp. 45–58.
Formats any DOI in Frontiers in Neuroimaging style. No sign-up. |
| Publishes research in | Functional Brain Connectivity Studies Advanced Neuroimaging Techniques and Applications Advanced MRI Techniques and Applications Neural dynamics and brain function EEG and Brain-Computer Interfaces |
| ISSN | 2813-1193 |
| Citation impact (2-yr) | 1.78 |
| h-index | 16 |
| i10-index | 31 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Harvard University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Methods for the analysis of neuroimaging data have advanced significantly since the beginning of neuroscience as a scientific discipline. Today, sophisticated statistical procedures allow us to examine complex multivariate patterns, however most of them are still constrained by assuming inherent linearity of neural processes. Here, we discuss a group of machine learning methods, called deep…
Functional MRI (fMRI) has become a popular technique to study brain functions and their alterations in psychiatric and neurological conditions. The sample sizes for fMRI studies have been increasing steadily, and growing studies are sourced from open-access brain imaging repositories. Quality control becomes critical to ensure successful data processing and valid statistical results. Here, we…
Spinal cord cross-sectional area (CSA) is a relevant biomarker to assess spinal cord atrophy in neurodegenerative diseases. However, the considerable inter-subject variability among healthy participants currently limits its usage. Previous studies explored factors contributing to the variability, yet the normalization models required manual intervention and used vertebral levels as a reference, which is an imprecise…
Background Understanding the structural connectivity of key brainstem nuclei with limbic cortical regions is essential to the development of therapeutic neuromodulation for depression, chronic pain, addiction, anxiety and movement disorders. Several brainstem nuclei have been identified as the primary central nervous system (CNS) source of important monoaminergic ascending fibers including the noradrenergic locus coeruleus, serotonergic…
Parkinson's disease (PD) is a common and complex neurodegenerative disorder with five stages on the Hoehn and Yahr scaling. Characterizing brain function alterations with progression of early stage disease would support accurate disease staging, development of new therapies, and objective monitoring of disease progression or treatment response. Functional magnetic resonance imaging (fMRI) is a promising…
