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Author: Jean-Baptiste Poline (90)


Dec
1969

Altered brain connectivity has been described in people with Parkinson's disease and in response to dopaminergic medications. However, it is unclear whether dopaminergic medications primarily 'normalize' disease related connectivity changes or if they induce unique alterations in brain connectivity. Further, it is unclear how these disease- and medication-associated changes in brain connectivity relate differently to specific motor manifestations of disease, such as bradykinesia/rigidity and tremor.

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Oct
2017

The nicotinic system plays an important role in cognitive control and is implicated in several neuropsychiatric conditions. However, the contributions of genetic variability in this system to individuals' cognitive control abilities are poorly understood and the brain processes that mediate such genetic contributions remain largely unidentified. In this first large-scale neuroimaging genetics study of the human nicotinic receptor system (two cohorts, males and females, fMRI total= 1586, behavioral total= 3650), we investigated a common polymorphism of the high-affinity nicotinic receptor α4β2 (rs1044396 on thegene) previously implicated in behavioral and nicotine-related studies (albeit with inconsistent major/minor allele impacts).

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Dec
1969

Reproducible research is a key element of the scientific process. Re-executability of neuroimaging workflows that lead to the conclusions arrived at in the literature has not yet been sufficiently addressed and adopted by the neuroimaging community. In this paper, we document a set of procedures, which include supplemental additions to a manuscript, that unambiguously define the data, workflow, execution environment and results of a neuroimaging analysis, in order to generate a verifiable re-executable publication.

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Jun
2017

Brain imaging is now ubiquitous in clinical practice and research. The case for bringing together large amounts of image data from well-characterised healthy subjects and those with a range of common brain diseases across the life course is now compelling. This report follows a meeting of international experts from multiple disciplines, all interested in brain image biobanking.

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Feb
2017

Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.

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Mar
2018

The transition from adolescent to adult cognition and emotional control requires neurodevelopmental maturation likely involving intrinsic functional networks (IFNs). Normal neurodevelopment may be vulnerable to disruption from environmental insult such as alcohol consumption commonly initiated during adolescence. To test potential disruption to IFN maturation, we used resting-state functional magnetic resonance imaging (rs-fMRI) in 581 no-to-low alcohol-consuming and 117 moderate-to-high-drinking youth.

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Dec
1969

Functional neuroimaging techniques have transformed our ability to probe the neurobiological basis of behaviour and are increasingly being applied by the wider neuroscience community. However, concerns have recently been raised that the conclusions that are drawn from some human neuroimaging studies are either spurious or not generalizable. Problems such as low statistical power, flexibility in data analysis, software errors and a lack of direct replication apply to many fields, but perhaps particularly to functional MRI.

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Dec
1969

Only a tiny fraction of the data and metadata produced by an fMRI study is finally conveyed to the community. This lack of transparency not only hinders the reproducibility of neuroimaging results but also impairs future meta-analyses. In this work we introduce NIDM-Results, a format specification providing a machine-readable description of neuroimaging statistical results along with key image data summarising the experiment.

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Jun
2016

The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens of thousands of studies using techniques such as functional MRI and diffusion weighted imaging have allowed for the non-invasive study of the brain. Despite the fact that MRI is routinely used to obtain data for neuroscience research, there has been no widely adopted standard for organizing and describing the data collected in an imaging experiment.

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Dec
1969

Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects.

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Apr
2016

Dysfunctional reward processing is implicated in various mental disorders, including attention deficit hyperactivity disorder (ADHD) and addictions. Such impairments might involve different components of the reward process, including brain activity during reward anticipation. We examined brain nodes engaged by reward anticipation in 1,544 adolescents and identified a network containing a core striatal node and cortical nodes facilitating outcome prediction and response preparation.

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Jan
2016

There is a recent interest in using functional magnetic resonance imaging (fMRI) for decoding more naturalistic, cognitive states, in which subjects perform various tasks in a continuous, self-directed manner. In this setting, the set of brain volumes over the entire task duration is usually taken as a single sample with connectivity estimates, such as Pearson's correlation, employed as features. Since covariance matrices live on the positive semidefinite cone, their elements are inherently inter-related.

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Dec
1969

Despite that diagnosis of neurological disorders commonly involves a collection of behavioral assessments, most neuroimaging studies investigating the associations between brain and behavior largely analyze each behavioral measure in isolation. To jointly model multiple behavioral scores, sparse multiresponse regression (SMR) is often used. However, directly applying SMR without statistically controlling for false positives could result in many spurious findings.

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Jul
2015

Most brain activity occurs in an ongoing manner not directly locked to external events or stimuli. Regional ongoing activity fluctuates in unison with some brain regions but not others, and the degree of long-range coupling is called functional connectivity, often measured with correlation. Strength and spatial distributions of functional connectivity dynamically change in an ongoing manner over seconds to minutes, even when the external environment is held constant.

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Jun
2015

During rest, brain activity is synchronized between different regions widely distributed throughout the brain, forming functional networks. However, the molecular mechanisms supporting functional connectivity remain undefined. We show that functional brain networks defined with resting-state functional magnetic resonance imaging can be recapitulated by using measures of correlated gene expression in a post mortem brain tissue data set.

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Dec
1969

The occurrence of collinearity in fMRI-based GLMs (general linear models) may reduce power or produce unreliable parameter estimates. It is commonly believed that orthogonalizing collinear regressors in the model will solve this problem, and some software packages apply automatic orthogonalization. However, the effects of orthogonalization on the interpretation of the resulting parameter estimates is widely unappreciated or misunderstood.

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Dec
1969

Here we present NeuroVault-a web based repository that allows researchers to store, share, visualize, and decode statistical maps of the human brain. NeuroVault is easy to use and employs modern web technologies to provide informative visualization of data without the need to install additional software. In addition, it leverages the power of the Neurosynth database to provide cognitive decoding of deposited maps.

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Jan
2016

NeuroVault.org is dedicated to storing outputs of analyses in the form of statistical maps, parcellations and atlases, a unique strategy that contrasts with most neuroimaging repositories that store raw acquisition data or stereotaxic coordinates. Such maps are indispensable for performing meta-analyses, validating novel methodology, and deciding on precise outlines for regions of interest (ROIs).

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Dec
1969

The ability to replicate an entire experiment is crucial to the scientific method. With the development of more and more complex paradigms, and the variety of analysis techniques available, fMRI studies are becoming harder to reproduce.
In this article, we aim to provide practical advice to fMRI researchers not versed in computing, in order to make studies more reproducible.

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May
2015

Multi-subject datasets used in neuroimaging group studies have a complex structure, as they exhibit non-stationary statistical properties across regions and display various artifacts. While studies with small sample sizes can rarely be shown to deviate from standard hypotheses (such as the normality of the residuals) due to the poor sensitivity of normality tests with low degrees of freedom, large-scale studies (e.g.

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Feb
2015

The amount of shared data available for re-analysis has greatly increased in the last few years. Here we discuss some of the challenges raised by the analysis of these shared datasets and propose some strategies to address these issues.

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Dec
1969

We present a Riemannian approach for classifying fMRI connectivity patterns before and after intervention in longitudinal studies. A fundamental difficulty with using connectivity as features is that covariance matrices live on the positive semi-definite cone, which renders their elements inter-related. The implicit independent feature assumption in most classifier learning algorithms is thus violated.

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Mar
2016

Rumination, an internal cognitive state characterized by recursive thinking of current self-distress and past negative events, has been found to correlate with the development of depressive disorders. Here, we investigated the feasibility of using connectivity for distinguishing different emotional states induced by a novel free-streaming, subject-driven experimental paradigm. Connectivity between 78 functional regions of interest (ROIs) within 14 large-scale networks and 6 structural ROIs particularly relevant to emotional processing were used for classifying 4 mental states in 19 healthy controls.

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Dec
1969

Analysis and interpretation of neuroimaging data often require one to divide the brain into a number of regions, or parcels, with homogeneous characteristics, be these regions defined in the brain volume or on the cortical surface. While predefined brain atlases do not adapt to the signal in the individual subject images, parcellation approaches use brain activity (e.g.

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Dec
1969

Data sharing is becoming increasingly common, but despite encouragement and facilitation by funding agencies, journals, and some research efforts, most neuroimaging data acquired today is still not shared due to political, financial, social, and technical barriers to sharing data that remain. In particular, technical solutions are few for researchers that are not a part of larger efforts with dedicated sharing infrastructures, and social barriers such as the time commitment required to share can keep data from becoming publicly available. We present a system for sharing neuroimaging data, designed to be simple to use and to provide benefit to the data provider.

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Dec
1969

Brain imaging is a natural intermediate phenotype to understand the link between genetic information and behavior or brain pathologies risk factors. Massive efforts have been made in the last few years to acquire high-dimensional neuroimaging and genetic data on large cohorts of subjects. The statistical analysis of such data is carried out with increasingly sophisticated techniques and represents a great computational challenge.

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Dec
1969

Neuroimaging group analyses are used to compare the intersubject variability observed in brain organization with behavioural or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. A new approach is introduced to overcome the limitations of standard methods, in which active voxels are detected according to a consensus on several random parcellations of the brain images, while a permutation test controls the false positive risk.

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Dec
1969

There is a recent trend towards integrating resting state functional magnetic resonance imaging (RS-fMRI) and diffusion MRI (dMRI) for brain connectivity estimation, as motivated by how estimates from these modalities are presumably two views reflecting the same underlying brain circuitry. In this paper, we show on a cohort of 60 subjects that conventional functional connectivity (FC) estimates based on Pearson's correlation and anatomical connectivity (AC) estimates based on fiber counts are actually not that highly correlated for typical RS-fMRI (approximately 7 min) and dMRI (approximately 32 gradient directions) data. The FC-AC correlation can be significantly increased by considering sparse partial correlation and modeling fiber endpoint uncertainty, but the resulting FC-AC correlation is still rather low in absolute terms.

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Jun
2014

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.

Brain Imaging Behav 2014 Jun;8(2):153-82
Paul M Thompson, Jason L Stein, Sarah E Medland, Derrek P Hibar, Alejandro Arias Vasquez, Miguel E Renteria, Roberto Toro, Neda Jahanshad, Gunter Schumann, Barbara Franke, Margaret J Wright, Nicholas G Martin, Ingrid Agartz, Martin Alda, Saud Alhusaini, Laura Almasy, Jorge Almeida, Kathryn Alpert, Nancy C Andreasen, Ole A Andreassen, Liana G Apostolova, Katja Appel, Nicola J Armstrong, Benjamin Aribisala, Mark E Bastin, Michael Bauer, Carrie E Bearden, Orjan Bergmann, Elisabeth B Binder, John Blangero, Henry J Bockholt, Erlend Bøen, Catherine Bois, Dorret I Boomsma, Tom Booth, Ian J Bowman, Janita Bralten, Rachel M Brouwer, Han G Brunner, David G Brohawn, Randy L Buckner, Jan Buitelaar, Kazima Bulayeva, Juan R Bustillo, Vince D Calhoun, Dara M Cannon, Rita M Cantor, Melanie A Carless, Xavier Caseras, Gianpiero L Cavalleri, M Mallar Chakravarty, Kiki D Chang, Christopher R K Ching, Andrea Christoforou, Sven Cichon, Vincent P Clark, Patricia Conrod, Giovanni Coppola, Benedicto Crespo-Facorro, Joanne E Curran, Michael Czisch, Ian J Deary, Eco J C de Geus, Anouk den Braber, Giuseppe Delvecchio, Chantal Depondt, Lieuwe de Haan, Greig I de Zubicaray, Danai Dima, Rali Dimitrova, Srdjan Djurovic, Hongwei Dong, Gary Donohoe, Ravindranath Duggirala, Thomas D Dyer, Stefan Ehrlich, Carl Johan Ekman, Torbjørn Elvsåshagen, Louise Emsell, Susanne Erk, Thomas Espeseth, Jesen Fagerness, Scott Fears, Iryna Fedko, Guillén Fernández, Simon E Fisher, Tatiana Foroud, Peter T Fox, Clyde Francks, Sophia Frangou, Eva Maria Frey, Thomas Frodl, Vincent Frouin, Hugh Garavan, Sudheer Giddaluru, David C Glahn, Beata Godlewska, Rita Z Goldstein, Randy L Gollub, Hans J Grabe, Oliver Grimm, Oliver Gruber, Tulio Guadalupe, Raquel E Gur, Ruben C Gur, Harald H H Göring, Saskia Hagenaars, Tomas Hajek, Geoffrey B Hall, Jeremy Hall, John Hardy, Catharina A Hartman, Johanna Hass, Sean N Hatton, Unn K Haukvik, Katrin Hegenscheid, Andreas Heinz, Ian B Hickie, Beng-Choon Ho, David Hoehn, Pieter J Hoekstra, Marisa Hollinshead, Avram J Holmes, Georg Homuth, Martine Hoogman, L Elliot Hong, Norbert Hosten, Jouke-Jan Hottenga, Hilleke E Hulshoff Pol, Kristy S Hwang, Clifford R Jack, Mark Jenkinson, Caroline Johnston, Erik G Jönsson, René S Kahn, Dalia Kasperaviciute, Sinead Kelly, Sungeun Kim, Peter Kochunov, Laura Koenders, Bernd Krämer, John B J Kwok, Jim Lagopoulos, Gonzalo Laje, Mikael Landen, Bennett A Landman, John Lauriello, Stephen M Lawrie, Phil H Lee, Stephanie Le Hellard, Herve Lemaître, Cassandra D Leonardo, Chiang-Shan Li, Benny Liberg, David C Liewald, Xinmin Liu, Lorna M Lopez, Eva Loth, Anbarasu Lourdusamy, Michelle Luciano, Fabio Macciardi, Marise W J Machielsen, Glenda M Macqueen, Ulrik F Malt, René Mandl, Dara S Manoach, Jean-Luc Martinot, Mar Matarin, Karen A Mather, Manuel Mattheisen, Morten Mattingsdal, Andreas Meyer-Lindenberg, Colm McDonald, Andrew M McIntosh, Francis J McMahon, Katie L McMahon, Eva Meisenzahl, Ingrid Melle, Yuri Milaneschi, Sebastian Mohnke, Grant W Montgomery, Derek W Morris, Eric K Moses, Bryon A Mueller, Susana Muñoz Maniega, Thomas W Mühleisen, Bertram Müller-Myhsok, Benson Mwangi, Matthias Nauck, Kwangsik Nho, Thomas E Nichols, Lars-Göran Nilsson, Allison C Nugent, Lars Nyberg, Rene L Olvera, Jaap Oosterlaan, Roel A Ophoff, Massimo Pandolfo, Melina Papalampropoulou-Tsiridou, Martina Papmeyer, Tomas Paus, Zdenka Pausova, Godfrey D Pearlson, Brenda W Penninx, Charles P Peterson, Andrea Pfennig, Mary Phillips, G Bruce Pike, Jean-Baptiste Poline, Steven G Potkin, Benno Pütz, Adaikalavan Ramasamy, Jerod Rasmussen, Marcella Rietschel, Mark Rijpkema, Shannon L Risacher, Joshua L Roffman, Roberto Roiz-Santiañez, Nina Romanczuk-Seiferth, Emma J Rose, Natalie A Royle, Dan Rujescu, Mina Ryten, Perminder S Sachdev, Alireza Salami, Theodore D Satterthwaite, Jonathan Savitz, Andrew J Saykin, Cathy Scanlon, Lianne Schmaal, Hugo G Schnack, Andrew J Schork, S Charles Schulz, Remmelt Schür, Larry Seidman, Li Shen, Jody M Shoemaker, Andrew Simmons, Sanjay M Sisodiya, Colin Smith, Jordan W Smoller, Jair C Soares, Scott R Sponheim, Emma Sprooten, John M Starr, Vidar M Steen, Stephen Strakowski, Lachlan Strike, Jessika Sussmann, Philipp G Sämann, Alexander Teumer, Arthur W Toga, Diana Tordesillas-Gutierrez, Daniah Trabzuni, Sarah Trost, Jessica Turner, Martijn Van den Heuvel, Nic J van der Wee, Kristel van Eijk, Theo G M van Erp, Neeltje E M van Haren, Dennis van 't Ent, Marie-Jose van Tol, Maria C Valdés Hernández, Dick J Veltman, Amelia Versace, Henry Völzke, Robert Walker, Henrik Walter, Lei Wang, Joanna M Wardlaw, Michael E Weale, Michael W Weiner, Wei Wen, Lars T Westlye, Heather C Whalley, Christopher D Whelan, Tonya White, Anderson M Winkler, Katharina Wittfeld, Girma Woldehawariat, Christiane Wolf, David Zilles, Marcel P Zwiers, Anbupalam Thalamuthu, Peter R Schofield, Nelson B Freimer, Natalia S Lawrence, Wayne Drevets,
The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects.

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Apr
2014

Neuroimaging group analyses are used to relate inter-subject signal differences observed in brain imaging with behavioral or genetic variables and to assess risks factors of brain diseases. The lack of stability and of sensitivity of current voxel-based analysis schemes may however lead to non-reproducible results. We introduce a new approach to overcome the limitations of standard methods, in which active voxels are detected according to a consensus on several random parcellations of the brain images, while a permutation test controls the false positive risk.

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Sep
2014

Common variants in the oxytocin receptor gene (OXTR) have been shown to influence social and affective behavior and to moderate the effect of adverse experiences on risk for social-affective problems. However, the intermediate neurobiological mechanisms are not fully understood. Although human functional neuroimaging studies have reported that oxytocin effects on social behavior and emotional states are mediated by amygdala function, animal models indicate that oxytocin receptors in the ventral striatum (VS) modulate sensitivity to social reinforcers.

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Dec
1969

Schizophrenia is a psychiatric disorder that has eluded characterization in terms of local abnormalities of brain activity, and is hypothesized to affect the collective, "emergent" working of the brain. Indeed, several recent publications have demonstrated that functional networks in the schizophrenic brain display disrupted topological properties. However, is it possible to explain such abnormalities just by alteration of local activation patterns? This work suggests a negative answer to this question, demonstrating that significant disruption of the topological and spatial structure of functional MRI networks in schizophrenia (a) cannot be explained by a disruption to area-based task-dependent responses, i.

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Dec
1969

Typical cohorts in brain imaging studies are not large enough for systematic testing of all the information contained in the images. To build testable working hypotheses, investigators thus rely on analysis of previous work, sometimes formalized in a so-called meta-analysis. In brain imaging, this approach underlies the specification of regions of interest (ROIs) that are usually selected on the basis of the coordinates of previously detected effects.

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Dec
1969

Despite the clear potential benefits of combining fMRI and diffusion MRI in learning the neural pathways that underlie brain functions, little methodological progress has been made in this direction. In this paper, we propose a novel multimodal integration approach based on sparse Gaussian graphical model for estimating brain connectivity. Casting functional connectivity estimation as a sparse inverse covariance learning problem, we adapt the level of sparse penalization on each connection based on its anatomical capacity for functional interactions.

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Dec
1969

The estimation of intra-subject functional connectivity is greatly complicated by the small sample size and complex noise structure in functional magnetic resonance imaging (fMRI) data. Pooling samples across subjects improves the conditioning of the estimation, but loses subject-specific connectivity information. In this paper, we propose a new sparse group Gaussian graphical model (SGGGM) that facilitates joint estimation of intra-subject and group-level connectivity.

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Dec
1969

Perspective (route or survey) during the encoding of spatial information can influence recall and navigation performance. In our experiment we investigated a third type of perspective, which is a slanted view. This slanted perspective is a compromise between route and survey perspectives, offering both information about landmarks as in route perspective and geometric information as in survey perspective.

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Jul
2012

Visual shape and motion information, processed in distinct brain regions, should be combined to elicit a unitary coherent percept of an object in motion. In an fMRI study, we identified brain regions underlying the perceptual binding of motion and shape independently of the features-contrast, motion, and shape-used to design the moving displays. These displays alternately elicited a bound (moving diamond) or an unbound (disconnected moving segments) percept, and were either physically unchanging yet perceptually bistable or physically changing over time.

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Oct
2012

Brain imaging is increasingly recognised as an intermediate phenotype to understand the complex path between genetics and behavioural or clinical phenotypes. In this context, a first goal is to propose methods to identify the part of genetic variability that explains some neuroimaging variability. Classical univariate approaches often ignore the potential joint effects that may exist between genes or the potential covariations between brain regions.

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Nov
2012

Being able to detect reliably functional activity in a population of subjects is crucial in human brain mapping, both for the understanding of cognitive functions in normal subjects and for the analysis of patient data. The usual approach proceeds by normalizing brain volumes to a common three-dimensional template. However, a large part of the data acquired in fMRI aims at localizing cortical activity, and methods working on the cortical surface may provide better inter-subject registration than the standard procedures that process the data in the volume.

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Oct
2012

Medical imaging datasets often contain deviant observations, the so-called outliers, due to acquisition or preprocessing artifacts or resulting from large intrinsic inter-subject variability. These can undermine the statistical procedures used in group studies as the latter assume that the cohorts are composed of homogeneous samples with anatomical or functional features clustered around a central mode. The effects of outlying subjects can be mitigated by detecting and removing them with explicit statistical control.

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Dec
1969

As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages to automate data management and processing tasks. For this, a structured and programmatic access to the data store is necessary.

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Jun
2012

The impulsive behavior that is often characteristic of adolescence may reflect underlying neurodevelopmental processes. Moreover, impulsivity is a multi-dimensional construct, and it is plausible that distinct brain networks contribute to its different cognitive, clinical and behavioral aspects. As these networks have not yet been described, we identified distinct cortical and subcortical networks underlying successful inhibitions and inhibition failures in a large sample (n = 1,896) of 14-year-old adolescents.

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Apr
2012

Identification of common variants associated with human hippocampal and intracranial volumes.

Nat Genet 2012 Apr 15;44(5):552-61. Epub 2012 Apr 15.
Jason L Stein, Sarah E Medland, Alejandro Arias Vasquez, Derrek P Hibar, Rudy E Senstad, Anderson M Winkler, Roberto Toro, Katja Appel, Richard Bartecek, Ørjan Bergmann, Manon Bernard, Andrew A Brown, Dara M Cannon, M Mallar Chakravarty, Andrea Christoforou, Martin Domin, Oliver Grimm, Marisa Hollinshead, Avram J Holmes, Georg Homuth, Jouke-Jan Hottenga, Camilla Langan, Lorna M Lopez, Narelle K Hansell, Kristy S Hwang, Sungeun Kim, Gonzalo Laje, Phil H Lee, Xinmin Liu, Eva Loth, Anbarasu Lourdusamy, Morten Mattingsdal, Sebastian Mohnke, Susana Muñoz Maniega, Kwangsik Nho, Allison C Nugent, Carol O'Brien, Martina Papmeyer, Benno Pütz, Adaikalavan Ramasamy, Jerod Rasmussen, Mark Rijpkema, Shannon L Risacher, J Cooper Roddey, Emma J Rose, Mina Ryten, Li Shen, Emma Sprooten, Eric Strengman, Alexander Teumer, Daniah Trabzuni, Jessica Turner, Kristel van Eijk, Theo G M van Erp, Marie-Jose van Tol, Katharina Wittfeld, Christiane Wolf, Saskia Woudstra, Andre Aleman, Saud Alhusaini, Laura Almasy, Elisabeth B Binder, David G Brohawn, Rita M Cantor, Melanie A Carless, Aiden Corvin, Michael Czisch, Joanne E Curran, Gail Davies, Marcio A A de Almeida, Norman Delanty, Chantal Depondt, Ravi Duggirala, Thomas D Dyer, Susanne Erk, Jesen Fagerness, Peter T Fox, Nelson B Freimer, Michael Gill, Harald H H Göring, Donald J Hagler, David Hoehn, Florian Holsboer, Martine Hoogman, Norbert Hosten, Neda Jahanshad, Matthew P Johnson, Dalia Kasperaviciute, Jack W Kent, Peter Kochunov, Jack L Lancaster, Stephen M Lawrie, David C Liewald, René Mandl, Mar Matarin, Manuel Mattheisen, Eva Meisenzahl, Ingrid Melle, Eric K Moses, Thomas W Mühleisen, Matthias Nauck, Markus M Nöthen, Rene L Olvera, Massimo Pandolfo, G Bruce Pike, Ralf Puls, Ivar Reinvang, Miguel E Rentería, Marcella Rietschel, Joshua L Roffman, Natalie A Royle, Dan Rujescu, Jonathan Savitz, Hugo G Schnack, Knut Schnell, Nina Seiferth, Colin Smith, Vidar M Steen, Maria C Valdés Hernández, Martijn Van den Heuvel, Nic J van der Wee, Neeltje E M Van Haren, Joris A Veltman, Henry Völzke, Robert Walker, Lars T Westlye, Christopher D Whelan, Ingrid Agartz, Dorret I Boomsma, Gianpiero L Cavalleri, Anders M Dale, Srdjan Djurovic, Wayne C Drevets, Peter Hagoort, Jeremy Hall, Andreas Heinz, Clifford R Jack, Tatiana M Foroud, Stephanie Le Hellard, Fabio Macciardi, Grant W Montgomery, Jean Baptiste Poline, David J Porteous, Sanjay M Sisodiya, John M Starr, Jessika Sussmann, Arthur W Toga, Dick J Veltman, Henrik Walter, Michael W Weiner, , , , , Joshua C Bis, M Arfan Ikram, Albert V Smith, Vilmundur Gudnason, Christophe Tzourio, Meike W Vernooij, Lenore J Launer, Charles DeCarli, Sudha Seshadri, , Ole A Andreassen, Liana G Apostolova, Mark E Bastin, John Blangero, Han G Brunner, Randy L Buckner, Sven Cichon, Giovanni Coppola, Greig I de Zubicaray, Ian J Deary, Gary Donohoe, Eco J C de Geus, Thomas Espeseth, Guillén Fernández, David C Glahn, Hans J Grabe, John Hardy, Hilleke E Hulshoff Pol, Mark Jenkinson, René S Kahn, Colm McDonald, Andrew M McIntosh, Francis J McMahon, Katie L McMahon, Andreas Meyer-Lindenberg, Derek W Morris, Bertram Müller-Myhsok, Thomas E Nichols, Roel A Ophoff, Tomas Paus, Zdenka Pausova, Brenda W Penninx, Steven G Potkin, Philipp G Sämann, Andrew J Saykin, Gunter Schumann, Jordan W Smoller, Joanna M Wardlaw, Michael E Weale, Nicholas G Martin, Barbara Franke, Margaret J Wright, Paul M Thompson,
Identifying genetic variants influencing human brain structures may reveal new biological mechanisms underlying cognition and neuropsychiatric illness. The volume of the hippocampus is a biomarker of incipient Alzheimer's disease and is reduced in schizophrenia, major depression and mesial temporal lobe epilepsy. Whereas many brain imaging phenotypes are highly heritable, identifying and replicating genetic influences has been difficult, as small effects and the high costs of magnetic resonance imaging (MRI) have led to underpowered studies.

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Dec
1969

Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work should have profound impact on research in cognitive neuroscience and psychiatry, leading to advances in the diagnosis and treatment of psychiatric and neurological disease. A trend toward increased sharing of neuroimaging data has emerged in recent years.

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May
2012

In this paper we investigate the use of classical fMRI Random Effect (RFX) group statistics when analyzing a very large cohort and the possible improvement brought from anatomical information. Using 1326 subjects from the IMAGEN study, we first give a global picture of the evolution of the group effect t-value from a simple face-watching contrast with increasing cohort size. We obtain a wide activated pattern, far from being limited to the reasonably expected brain areas, illustrating the difference between statistical significance and practical significance.

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Aug
2012

In this review, we first set out the general linear model (GLM) for the non technical reader, as a tool able to do both linear regression and ANOVA within the same flexible framework. We present a short history of its development in the fMRI community, and describe some interesting examples of its early use. We offer a few warnings, as the GLM relies on assumptions that may not hold in all situations.

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Jan
2012

Recent advances have been made in the genetics of two human communication skills: speaking and reading. Mutations of the FOXP2 gene cause a severe form of language impairment and orofacial dyspraxia, while single-nucleotide polymorphisms (SNPs) located within a KIAA0319/TTRAP/THEM2 gene cluster and affecting the KIAA0319 gene expression are associated with reading disability. Neuroimaging studies of clinical populations point to partially distinct cerebral bases for language and reading impairments.

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