ALE and BrainMap. Educational Course on Neuroimaging Meta-Analysis OHBM Annual Meeting - 8 June 2014

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ALE and BrainMap Educational Course on Neuroimaging Meta-Analysis 2014 OHBM Annual Meeting - 8 June 2014 Angie Laird Associate Professor Department of Physics

Coordinate-Based Results in Neuroimaging Studies Summary results of functional neuroimaging studies as represented by statistical parametric images (x,y,z) (x,y,z) (x,y,z) (x,y,z) (x,y,z) (x,y,z) Reported in the literature in the form of stereotactic coordinates

BrainMap Database: Archives Peak Coordinates and Metadata What brain regions are typically activated in a memory task in schizophrenia patients? Quick Author Search 2,396 papers 11,397 contrasts 91,251 locations Scribe: submit papers to BrainMap Sleuth: search papers in BrainMap GingerALE: perform meta-analyses

BrainMap Scribe

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BrainMap Scribe - Behavioral Domain and Paradigm Class

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Literature Search: Face Discrimination Studies BrainMap Search Criteria: Face Monitor/ Discrimination AND Normal Mapping Example Search Result: 2 Experiments Returned from 1 Publication, 8 and 6 Foci Total BrainMap Database >2K Publications >10K Experiments BrainMap search yielded 396 experiments of healthy controls that participated in a face discrimination task Paller et al., Neural correlates of person recognition, Learning & Memory, 2003 Whole brain sets of coordinates (foci) from all 396 Face Discrimination experiments visualized in the BrainMap Sleuth application

Coordinate-Based Meta-Analysis: Activation Likelihood Estimation BrainMap Search Criteria: Face Discrimination BrainMap Database >2K Publications >10K Experiments Meta-Analysis: Where do the foci converge? Reported coordinates are not treated as points but as centers of probability distributions Each foci is modeled by a 3D Gaussian distribution x Search results = 396 sets of coordinates Activation Likelihood Estimation ALE originally developed by Turkeltaub et al. (2002); has been adopted by BrainMap and revised and expanded several times (Laird et al., 2005; Eickhoff et al., 2009; 2012; Turkeltaub et al., 2012) y ALE Meta-Analysis: Face Discrimination Compute ALE scores Determine statistical significance Threshold final ALE images L R P<0.05, corrected

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ALE Applications: Paradigm-Based Meta-Analyses Single word reading and speech production Object naming of animals and tools n-back working memory Saccades and gaze perception Pain, painful stimulation, and pain empathy Task switching Anticipatory effect of choice Risk, reward, and decision-making Finger tapping Go/No-Go and response inhibition Movement perception, dance, and emotion Text, speech, and metaphor comprehension Aesthetic appraisal Emotional processing Morality, theory of mind, and empathy Regulation of negative affect Episodic encoding and retrieval Swallowing, eating, and drinking Default mode processing Executive function and cognitive control Stressor-evoked blood pressure reactivity Time perception and timing Taste and craving, food and drug cues Phonological processing of Chinese characters and alphabetic words Reflexive reorienting, motor inhibition, and action updating Sublexical speech, speech effectors, phonation and articulation Numeracy, number processing, and calculation Spatial organization of sound processing Embodiment in language Pain, hyperalgesia, and allodynia Emotional processing and recognition Multi-sensory imagery Motor learning Noun and verb processing Acupuncture needle stimulation Central processing of autonomic function Semantic processing and semantic memory Action imitation and observation Rectal distension Diseases and Disorders Stuttering, dyslexia, schizophrenia, OCD, depression, ADHD, Alzheimer s disease, mild cognitive impairment, autism spectrum disorders, bipolar disorder, aphasia, psychosis, addiction, anorexia nervosa, PTSD, tinnitus, TBI, stroke, chronic pain, borderline personality disorder, Huntington s disease, social anxiety disorder, obesity brainmap.org/pubs

Summary 1. Paradigm-Based ALE Meta-Analysis 2. ROI-Based ALE Meta-Analysis L R P<0.05, corrected L R P<0.05, corrected Face Perception in Healthy Controls Meta-analytic connectivity modeling or MACM

Summary 3. Functional Interpretation of Resting State Networks RSNs: long range, but functionally connected regions that exhibit coherent fluctuations at rest; consistently identified using ICA ICA is a popular method of identifying RSNs to study the human connectome Functional interpretation of networks is problematic given the nature of resting state fmri data Components are typically loosely grouped by anatomy (e.g., basal ganglia, frontal-parietal, cerebellar ) or function (e.g., sensorimotor, visual, attention, default mode, executive However, a recent neuroinformatics technique that utilized the BrainMap database offers a different human connectome approach... studies (brainmap.org/icns) Designed to serve as a resource for data interpretation of ongoing RSN and other

Thank You! Acknowledgments Florida International University: Matt Sutherland, Julio Yanes, Jessica Bartley, Dane Marguglio, Kailey MacNamara, Rob Laird UT Health Science Center San Antonio: Peter Fox, Jack Lancaster, Mick Fox, Angela Uecker, Kim Ray, Cody Riedel Heinrich Heine University: Simon Eickhoff