Schizophrenia is a psychotic disorder characterized by functional dysconnectivity or abnormal integration between distant brain regions. Recent functional imaging studies have implicated large-scale thalamo-cortical connectivity as being disrupted in patients. However, observed connectivity differences in schizophrenia have been inconsistent between studies, with reports of hyperconnectivity and hypoconnectivity between the same brain regions. Using resting state…
NeuroImage Clinical Template
Write in a clean editor, then format for NeuroImage Clinical in one click — DocuGuru applies the official Elsevier template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the NeuroImage Clinical format
NeuroImage Clinical is a peer-reviewed journal published by Elsevier, covering Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', NeuroImage Clinical, 12(3), pp. 45–58.
Formats any DOI in NeuroImage Clinical style. No sign-up. |
| Publishes research in | Functional Brain Connectivity Studies Advanced Neuroimaging Techniques and Applications Advanced MRI Techniques and Applications Dementia and Cognitive Impairment Research Neurological disorders and treatments |
| ISSN | 2213-1582 |
| Citation impact (2-yr) | 3.36 |
| h-index | 133 |
| i10-index | 3,136 |
| Total citations | 153,557 |
| Article processing charge | $3,150 |
| Open access | Yes |
| Top institutions publishing here | Harvard University |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in NeuroImage Clinical per year
Citation impact of NeuroImage Clinical by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in NeuroImage Clinical
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imaging data from a world-wide multi-site database known as ABIDE (Autism Brain Imaging Data Exchange). ASD is a…
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. Convolutional neural networks (CNNs) were applied on 3D T1-weighted images from ADNI and subjects recruited at our Institute (407 healthy…
This paper broadly reviews the study of mild traumatic brain injury (mTBI), across the spectrum of neuroimaging modalities. Among the range of imaging methods, however, magnetic resonance imaging (MRI) is unique in its applicability to studying both structure and function. Thus we additionally performed meta-analyses of MRI results to examine 1) the issue of anatomical…
Many mental illnesses share overlapping or similar clinical symptoms, confounding the diagnosis. It is important to systematically characterize the degree to which unique and similar changing patterns are reflective of brain disorders. Increasing sharing initiatives on neuroimaging data have provided unprecedented opportunities to study brain disorders. However, it is still an open question on replicating…