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SPM Extensions. Introduction Many SPM users have created tools for neuroimaging analyses that are based on SPM.

SPM Extensions

You will find here a list of these tools classified between Toolboxes, Utilities, Batch Systems and Templates. The distinction between Toolboxes and Utilities can be blurry, but for the purposes of this page we define a toolbox to be a utility that can be completely operated via a graphical user interface. If you notice inaccuracies or out of date links, please email the SPM manager. Likewise, to have your SPM extension linked here, send an email including a URL, a contact email, and a brief summary (please note if any MATLAB toolboxes are required, or if it is platform-specific).

MIALab. Available Software: Group ICA Toolbox (Includes GIFT andEEGIFT): Group ICA Toolbox is a MATLAB toolbox which implements multiple algorithms for independent component analysis and blind source separation of group (and single subject) functional magnetic resonance imaging data and electro encephalogram data.

MIALab

DTI Protocols « ENIGMA. This page is intended to help guide you key steps for analyzing diffusion MRI while going through the standardized protocols for ENIGMA-DTI.

DTI Protocols « ENIGMA

Please note that these protocols are subject to improvements as we get more feedback, so please check often for the latest! If you find these protocols useful in your research, please provide a link to the ENIGMA website in your work: www.enigma.ini.usc.edu and tell us what you think! How to make ROI from Brodmann or AAL template by selecting specific area for functional connectivity.

Cambridge Research Systems - MR Safe Displays. Home · MRtrix3/mrtrix3 Wiki. [ACID/HySCO] - Hyperelastic Susceptibility Artefact Correction. What is HySCO?

[ACID/HySCO] - Hyperelastic Susceptibility Artefact Correction

HySCO is an academic software for the correction of susceptibility artifacts in diffusion weighted images based on a reversed gradient based acquisition scheme. It is developed by Lars Ruthotto and Jan Modersitzki as an add-on to the registration toolbox FAIR. Cincinnati MR Imaging of NeuroDevelopment. This session includes 51 minutes of image acquisition and should be completed in less than one hour of total scan time.

Cincinnati MR Imaging of NeuroDevelopment

MR Protocols - CNI Wiki. This page contains an overview of several types of MRI modalities (structural, functional, and diffusion).

MR Protocols - CNI Wiki

The basic measurement protocols are described and there are links to development plans and more detailed processing strategies. There are several typical protocols users run. MultiTracer version 2. MultiTracer is a Java application for use with volumetric imaging data.

MultiTracer version 2

MultiTracer allows: Visualization of volumetric structural data and inspection of time courses of functional data Manual editing to remove unwanted anatomic features Manual delineation of anatomic boundaries simple measures such as volumes, areas and lengths can be quantified directly boundaries can be exported for more detailed measures using other software tools creation of mask volumes corresponding to delineated anatomic strucures Current Version The current version of MultiTracer (version 2) was released on August 29, 2012.

You can verify that you have the latest release by checking the "About" menu item under the "File" menu. Revision history Requirements. LONI Pipeline  Home > Learn > User Guide User Guide Table of Contents Learn.

LONI Pipeline 

Peate. PEATE - Perl Event-related Average Timecourse Extraction Peate is intended as a companion tool to FSL.

Peate

It produces average signal timecourses for a specified epoch surrounding all events of a given type, within a region of interest. Note that if your events are very close together in time, hemodynamic responses will be overlapping; Peate does not attempt to deconvolve the response to each event to resolve this overlap, it simply does selective averaging.

PEATE VERSION 3.01, October, 2013 I've recompiled Peate and fixed a few things to bring it into the modern era. Plotting now works again out of the box. Aireal, il feedback tattile fatto con l'aria. Come e perché superiamo i nostri limiti. Cosa ci spinge a decidere per una pausa, durante il lavoro?

Come e perché superiamo i nostri limiti

Siamo davvero stanchi, abbiamo bisogno di una ricarica? Apparentemente, ci decidiamo per un caffè o una visita ai social network quando determinati segnali raggiungono un apice: ad esempio quando sentiamo i muscoli doloranti per lo sforzo fisico, oppure se non riusciamo più a concentrarci nel leggere quella pagina. Quando il nostro corpo o la nostra mente si sente meglio, quei 'segnali', quei 'picchi' si azzittiscono, e noi possiamo riprendere il lavoro.

[citation needed]» Blog Archive » Sixteen is not magic: Comment on Friston (2012) UPDATE: I’ve posted a very classy email response from Friston here. In a “comments and controversies” piece published in NeuroImage last week, Karl Friston describes “Ten ironic rules for non-statistical reviewers”. As the title suggests, the piece is presented ironically; Friston frames it as a series of guidelines reviewers can follow in order to ensure successful rejection of any neuroimaging paper.

But of course, Friston’s real goal is to convince you that the practices described in the commentary are bad ones, and that reviewers should stop picking on papers for such things as having too little power, not cross-validating results, and not being important enough to warrant publication. Friston’s piece is, simultaneously, an entertaining satire of some lamentable reviewer practices, and—in my view, at least—a frustratingly misplaced commentary on the relationship between sample size, effect size, and inference in neuroimaging. Friston’s argument And: La mappa genetica del cervello in 3D. Nonostante tutti i progressi nel campo delle neuroscienze, il cervello umano nasconde ancora molti segreti. Da oggi però i ricercatori hanno uno strumento in più per studiarlo: un vero e proprio atlante che mappa la posizione e l’espressione di circa 60mila geni, proprio come fossero catene montuose o fiumi della Terra. L’eccezionale risultato è frutto del lavoro di un’equipe di ricerca coordinata da Michael Hawrylycz dell’ Allen Institute for Brain Science, negli Usa, e, cosa ancora più importante, è accessibile a tutti.