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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all \u003cpre\u003e\u003ccode\u003e blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks"); } } catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); } })(); (function(){ try { var __m = "github.com"; var __re = new RegExp('^' + "github\\.com" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

About

Automatic Analysis (aa)

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length \u003e 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

About

Automatic Analysis (aa)

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

About

Automatic Analysis (aa)

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Automatic Analysis (aa) is a pipeline system for neuroimaging written primarily in Matlab. It supports SPM 12, as well as selected functions from other software packages (e.g., FSL, Freesurfer). The goal is to facilitate automatic, flexible, and replicable neuroimaging analyses through a comprehensive pipeline system.

The software was originally developed by Dr Rhodri Cusack for supporting research at the MRC Cognition and Brain Science Unit. It is made available to the academic community in the hope that it may prove useful.

CIDocker image available!manuscriptresourceDOIView Automatic Analysis (aa) on File Exchange

Definitions: aa means the Automatic Analysis software package and any associated documentation whether electronic or printed.

License

Use of this software is subject to the terms of the license, found in the license.txt file distributed with this software.

Documentation

The best source for aa documentation is the github wiki at: https://github.com/automaticanalysis/automaticanalysis/wiki

A second website at http://automaticanalysis.github.io provides recent aa news and current events, as well as discussion of topics that might be of interest to aa developers.

Help and support

Please feel free to open a discusion thread or an issue here on GitHub if you want to make comment or suggestions or are having trouble getting aa to work.

Software updates

The master branch on github is only updated after testing, so this version is the one to use. Developer versions are maintained in each developer's aa fork on GitHub.

References and citation

For any papers that report data analyzed with aa, please include the GitHub repo URL and cite the aa paper:

Cusack R, Vicente-Grabovetsky A, Mitchell DJ, Wild CJ, Auer T, Linke AC, Peelle JE (2015) Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Frontiers in Neuroinformatics 8:90. http://dx.doi.org/10.3389/fninf.2014.00090

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