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NeuroImage

Resumen/Descripción – provisto por la editorial en inglés
NeuroImage, a Journal of Brain Function, provides a vehicle for communicating important advances in the use of neuroimaging to study structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if they provide advances that are of relevance to a systems-level understanding of the human brain.

The main criterion on which papers are judged for NeuroImage, is to what extent the scientific contribution helps advance our understanding of brain function, organization, and structure. NeuroImage, also welcomes papers that explicitly address these questions in animal models or clinical populations. Papers that do not contain significant methodological development, and whose major contribution is to use imaging to advance the understanding of pathology, abnormal development, use of biomarkers or other questions of clinical utility should be referred to NeuroImage: Clinical.

NeuroImage, publishes original research articles, papers on methods, models of brain function, as well as positions on contentious issues. The journal strives to incorporate theoretical and technological innovations and is committed to publishing the highest quality papers in both print and electronic media. The editors and the editorial board members come from highly diverse specialties, reflecting the fact that imaging neuroscience is a multi-disciplinary science.

Submitted papers will generally be considered under eight general themes. However, papers with the above criteria that do not easily fit into any of the below themes will also be handled by an editor with the appropriate expertise.

• Analysis Methods
• Functional MRI Acquisition and Physics
• Computational Modeling and Analysis
• Anatomy and Physiology
• Cognition and Aging
• Social Neuroscience
• Sensorimotor Processing
• Communication, Language, and Learning
Palabras clave – provistas por la editorial

neuroimaging; neuroscience; human brain organisation; brain function

Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde ago. 1992 / hasta dic. 2019 ScienceDirect
No requiere desde ene. 2020 / hasta nov. 2024 ScienceDirect acceso abierto

Información

Tipo de recurso:

revistas

ISSN impreso

1053-8119

ISSN electrónico

1095-9572

Editor responsable

Elsevier

Idiomas de la publicación

  • inglés

País de edición

Estados Unidos

Fecha de publicación

Información sobre licencias CC

https://creativecommons.org/licenses/by/4.0/

https://creativecommons.org/licenses/by-nc-nd/4.0/

Tabla de contenidos

Dual Voxel Proton Magnetic Resonance Spectroscopy in the Healthy Elderly: Subcortical-Frontal Axonal N-Acetylaspartate Levels Are Correlated with Fluid Cognitive Abilities Independent of Structural Brain Changes

M.J. Valenzuela; P.S. Sachdev; W. Wen; R. Shnier; H. Brodaty; D. Gillies

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 747-756

Assessing the Performance of SPM Analyses of Spect Neuroactivation Studies

P. Lahorte; S. Vandenberghe; K. Van Laere; K. Audenaert; I. Lemahieu; R.A. Dierckx

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 757-764

Author Index for Volume 12

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 765-766

The Neural Basis of Intrusions in Free Recall and Cued Recall: A PET Study in Alzheimer's Disease

Béatrice Desgranges; Jean-Claude Baron; Bénédicte Giffard; Gaël Chételat; Catherine Lalevée; Fausto Viader; Vincent de la Sayette; Francis Eustache

Pp. 1658-1664

Electrical impedance tomography of human brain function using reconstruction algorithms based on the finite element method

Andrew P Bagshaw; Adam D Liston; Richard H Bayford; Andrew Tizzard; Adam P Gibson; A.Thomas Tidswell; Matthew K Sparkes; Hamid Dehghani; Colin D Binnie; David S Holder

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 752-764

An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest

Rahul S. Desikan; Florent Ségonne; Bruce Fischl; Brian T. Quinn; Bradford C. Dickerson; Deborah Blacker; Randy L. Buckner; Anders M. Dale; R. Paul Maguire; Bradley T. Hyman; Marilyn S. Albert; Ronald J. Killiany

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 968-980

Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template

Susumu Mori; Kenichi Oishi; Hangyi Jiang; Li Jiang; Xin Li; Kazi Akhter; Kegang Hua; Andreia V. Faria; Asif Mahmood; Roger Woods; Arthur W. Toga; G. Bruce Pike; Pedro Rosa Neto; Alan Evans; Jiangyang Zhang; Hao Huang; Michael I. Miller; Peter van Zijl; John Mazziotta

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 570-582

Use of anisotropic modelling in electrical impedance tomography; Description of method and preliminary assessment of utility in imaging brain function in the adult human head

Juan-Felipe P.J. Abascal; Simon R. Arridge; David Atkinson; Raya Horesh; Lorenzo Fabrizi; Marzia De Lucia; Lior Horesh; Richard H. Bayford; David S. Holder

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 258-268

A generalized method to estimate waveforms common across trials from EEGs

Yusuke Takeda; Masa-aki Sato; Kentaro Yamanaka; Daichi Nozaki; Yoshiharu Yamamoto

Palabras clave: Cognitive Neuroscience; Neurology.

Pp. 629-641

Supervisory experience at work is linked to low rate of hippocampal atrophy in late life

Chao Suo; Irene León; Henry Brodaty; Julian Trollor; Wei Wen; Perminder Sachdev; Michael J. Valenzuela

Pp. 1542-1551