Local molecular and global connectomic contributions to cross-disorder cortical abnormalities

[1]  F. Váša,et al.  Null models in network neuroscience , 2022, Nature Reviews Neuroscience.

[2]  A. Dagher,et al.  Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia , 2022, Brain : a journal of neurology.

[3]  M. Bellgrove,et al.  Network Constraints on Longitudinal Grey Matter Changes in First Episode Psychosis , 2022, medRxiv.

[4]  Laura E. Suárez,et al.  neuromaps: structural and functional interpretation of brain maps , 2022, bioRxiv.

[5]  A. J. Higgins,et al.  Author Correction: Cycloalkane-modified amphiphilic polymers provide direct extraction of membrane proteins for CryoEM analysis , 2021, Communications biology.

[6]  Taylor W. Schmitz,et al.  Mapping neurotransmitter systems to the structural and functional organization of the human neocortex , 2021, bioRxiv.

[7]  Ben D. Fulcher,et al.  Imaging Transcriptomics of Brain Disorders , 2021, Biological psychiatry global open science.

[8]  Joanna K. Bright,et al.  International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease , 2021, Movement disorders : official journal of the Movement Disorder Society.

[9]  J B Poline,et al.  Standardizing workflows in imaging transcriptomics with the abagen toolbox , 2021, bioRxiv.

[10]  Richard F. Betzel,et al.  Time-resolved structure-function coupling in brain networks , 2021, Communications Biology.

[11]  Alan C. Evans,et al.  The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets , 2021, Nature Methods.

[12]  Yiyun Huang,et al.  In vivo evidence of lower synaptic vesicle density in schizophrenia , 2021, Molecular Psychiatry.

[13]  Eli J. Cornblath,et al.  Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor , 2021, Science Advances.

[14]  Yiyun Huang,et al.  Preliminary In Vivo Evidence of Reduced Synaptic Density in Human Immunodeficiency Virus (HIV) Despite Antiretroviral Therapy , 2021, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[15]  J. Morris,et al.  Bundle-specific associations between white matter microstructure and Aβ and tau pathology in preclinical Alzheimer’s disease , 2021, eLife.

[16]  M. Breakspear,et al.  Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics , 2021, Nature Neuroscience.

[17]  Ben D. Fulcher,et al.  Where the genome meets the connectome: Understanding how genes shape human brain connectivity , 2021, NeuroImage.

[18]  A. Raj,et al.  Network model of pathology spread recapitulates neurodegeneration and selective vulnerability in Huntington's Disease , 2021, NeuroImage.

[19]  B. Mišić,et al.  Mapping gene transcription and neurocognition across human neocortex , 2021, Nature Human Behaviour.

[20]  Julia W. McDonald,et al.  Comparison of [11C]UCB-J and [18F]FDG PET in Alzheimer’s disease: A tracer kinetic modeling study , 2021, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[21]  Thomas J Vanasse,et al.  Brain pathology recapitulates physiology: A network meta-analysis , 2021, Communications Biology.

[22]  Ryan S. O'Dell,et al.  Association of Aβ deposition and regional synaptic density in early Alzheimer’s disease: a PET imaging study with [11C]UCB-J , 2021, Alzheimer's research & therapy.

[23]  R. Dixon,et al.  Portals to frailty? Data-driven analyses detect early frailty profiles , 2021, Alzheimer's research & therapy.

[24]  David Vállez García,et al.  Myelin quantification with MRI: A systematic review of accuracy and reproducibility , 2020, NeuroImage.

[25]  Boris C. Bernhardt,et al.  Multiscale communication in cortico-cortical networks , 2020, NeuroImage.

[26]  Yiyun Huang,et al.  First-in-Human Assessment of 11C-LSN3172176, an M1 Muscarinic Acetylcholine Receptor PET Radiotracer , 2020, The Journal of Nuclear Medicine.

[27]  B. Mišić,et al.  Comparing spatial null models for brain maps , 2021, NeuroImage.

[28]  D. Greve,et al.  A high-resolution in vivo atlas of the human brain’s benzodiazepine binding site of GABAA receptors , 2020, NeuroImage.

[29]  Reinder Vos de Wael,et al.  The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets , 2020, bioRxiv.

[30]  A. Holmes,et al.  Convergent molecular, cellular, and cortical neuroimaging signatures of major depressive disorder , 2020, Proceedings of the National Academy of Sciences.

[31]  D. Spencer,et al.  Reduced synaptic vesicle protein 2A binding in temporal lobe epilepsy: A [11C]UCB‐J positron emission tomography study , 2020, Epilepsia.

[32]  Yiyun Huang,et al.  Binding of the synaptic vesicle radiotracer [11C]UCB-J is unchanged during functional brain activation using a visual stimulation task , 2020, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[33]  Yiyun Huang,et al.  Human adult and adolescent biodistribution and dosimetry of the synaptic vesicle glycoprotein 2A radioligand 11C-UCB-J , 2020, EJNMMI Research.

[34]  Ben D. Fulcher,et al.  Topographic gradients of intrinsic dynamics across neocortex , 2020, bioRxiv.

[35]  D. Geschwind,et al.  Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders , 2020, Nature Communications.

[36]  Dan J Stein,et al.  Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders , 2020, Molecular Psychiatry.

[37]  Ryan S. O'Dell,et al.  In vivo measurement of widespread synaptic loss in Alzheimer's disease with SV2A PET , 2020, Alzheimer's & dementia : the journal of the Alzheimer's Association.

[38]  Aki Vehtari,et al.  Interindividual variability and lateralization of μ-opioid receptors in the human brain , 2020, NeuroImage.

[39]  L. Concha,et al.  Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study , 2020, Science Advances.

[40]  B. Mulsant,et al.  Effects of Antipsychotic Medication on Brain Structure in Patients With Major Depressive Disorder and Psychotic Features: Neuroimaging Findings in the Context of a Randomized Placebo-Controlled Clinical Trial. , 2020, JAMA psychiatry.

[41]  John D. Murray,et al.  Generative modeling of brain maps with spatial autocorrelation , 2020, NeuroImage.

[42]  Yiyun Huang,et al.  In vivo 5-HT6 and 5-HT2A receptor availability in antipsychotic treated schizophrenia patients vs. unmedicated healthy humans measured with [11C]GSK215083 PET , 2019, Psychiatry Research: Neuroimaging.

[43]  Rebecca C. Knickmeyer,et al.  ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries , 2019, Biological Psychiatry.

[44]  Gabriel A. Devenyi,et al.  Spatial Patterning of Tissue Volume Loss in Schizophrenia Reflects Brain Network Architecture , 2019, Biological Psychiatry.

[45]  Jesse A. Brown,et al.  Patient-Tailored, Connectivity-Based Forecasts of Spreading Brain Atrophy , 2019, Neuron.

[46]  Alan Connelly,et al.  MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation , 2019, NeuroImage.

[47]  B. Bodini,et al.  Repurposing radiotracers for myelin imaging: a study comparing 18F-florbetaben, 18F-florbetapir, 18F-flutemetamol,11C-MeDAS, and 11C-PiB , 2019, European Journal of Nuclear Medicine and Molecular Imaging.

[48]  Aki Vehtari,et al.  Interindividual variability and lateralization of µ-opioid receptors in the human brain , 2019, bioRxiv.

[49]  R. Carson,et al.  Norepinephrine transporter availability in brown fat is reduced in obesity: a human PET study with [11C] MRB , 2019, International Journal of Obesity.

[50]  J. Trojanowski,et al.  α-Synuclein pathology in Parkinson’s disease and related α-synucleinopathies , 2019, Neuroscience Letters.

[51]  Yiyun Huang,et al.  Sex differences in amphetamine-induced dopamine release in the dorsolateral prefrontal cortex of tobacco smokers , 2019, Neuropsychopharmacology.

[52]  O. Sporns,et al.  A cross-disorder connectome landscape of brain dysconnectivity , 2019, Nature Reviews Neuroscience.

[53]  Danielle S Bassett,et al.  α-Synuclein pathology spread through the brain connectome is modulated by selective vulnerability and predicted by network analysis , 2019, Nature Neuroscience.

[54]  M. Chakravarty,et al.  Evidence for Network-Based Cortical Thickness Reductions in Schizophrenia. , 2019, The American journal of psychiatry.

[55]  R. Postuma,et al.  Brain cholinergic alterations in idiopathic REM sleep behaviour disorder: a PET imaging study with 18F-FEOBV. , 2019, Sleep medicine.

[56]  R. Poldrack,et al.  Somatosensory-Motor Dysconnectivity Spans Multiple Transdiagnostic Dimensions of Psychopathology , 2019, Biological Psychiatry.

[57]  Ivanei E. Bramati,et al.  Brain Imaging of the Cortex in ADHD: A Coordinated Analysis of Large-Scale Clinical and Population-Based Samples. , 2019, The American journal of psychiatry.

[58]  E. Bullmore,et al.  Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes , 2018, Proceedings of the National Academy of Sciences.

[59]  Dustin Scheinost,et al.  Lower synaptic density is associated with depression severity and network alterations , 2019, Nature Communications.

[60]  R. P. Maguire,et al.  A single‐center, open‐label positron emission tomography study to evaluate brivaracetam and levetiracetam synaptic vesicle glycoprotein 2A binding in healthy volunteers , 2019, Epilepsia.

[61]  Casey Paquola,et al.  Transcriptomic and Cellular Decoding of Regional Brain Vulnerability to Neurodevelopmental Disorders , 2019, bioRxiv.

[62]  Richard F. Betzel,et al.  Distance-dependent consensus thresholds for generating group-representative structural brain networks , 2019, Network Neuroscience.

[63]  Boris C. Bernhardt,et al.  Gradients of structure–function tethering across neocortex , 2019, Proceedings of the National Academy of Sciences.

[64]  Chun-Hung Yeh,et al.  MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation , 2019, NeuroImage.

[65]  Ben D. Fulcher,et al.  Bridging the Gap between Connectome and Transcriptome , 2019, Trends in Cognitive Sciences.

[66]  Hunna J. Watson,et al.  Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders , 2019, bioRxiv.

[67]  Michael R. Johnson,et al.  Ultra-rare genetic variation in the epilepsies: a whole-exome sequencing study of 17,606 individuals , 2019, bioRxiv.

[68]  Alan C. Evans,et al.  Microstructural and functional gradients are increasingly dissociated in transmodal cortices , 2019, PLoS biology.

[69]  A. Dagher,et al.  Local vulnerability and global connectivity jointly shape neurodegenerative disease propagation , 2018, PLoS biology.

[70]  D. Zald,et al.  Partial-volume correction increases estimated dopamine D2-like receptor binding potential and reduces adult age differences , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[71]  N. Jaworska,et al.  Sex differences in [11C]ABP688 binding: a positron emission tomography study of mGlu5 receptors , 2019, European Journal of Nuclear Medicine and Molecular Imaging.

[72]  Christian Gieger,et al.  Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies , 2018, Nature Communications.

[73]  Adrian Preda,et al.  Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium , 2018, Biological Psychiatry.

[74]  Richard E Carson,et al.  Assessing Synaptic Density in Alzheimer Disease With Synaptic Vesicle Glycoprotein 2A Positron Emission Tomographic Imaging , 2018, JAMA neurology.

[75]  Reinder Vos de Wael,et al.  Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding , 2018, Proceedings of the National Academy of Sciences.

[76]  Haochang Shou,et al.  On testing for spatial correspondence between maps of human brain structure and function , 2018, NeuroImage.

[77]  Leonardo L. Gollo,et al.  Fragility and volatility of structural hubs in the human connectome , 2018, Nature Neuroscience.

[78]  Osamu Abe,et al.  Myelin Measurement: Comparison Between Simultaneous Tissue Relaxometry, Magnetization Transfer Saturation Index, and T1w/T2w Ratio Methods , 2018, Scientific Reports.

[79]  R. Ophoff,et al.  Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders , 2018, Nature Human Behaviour.

[80]  Yi Su,et al.  Aerobic glycolysis and tau deposition in preclinical Alzheimer's disease , 2018, Neurobiology of Aging.

[81]  A. Bernacchia,et al.  Hierarchy of transcriptomic specialization across human cortex captured by structural neuroimaging topography , 2018, Nature Neuroscience.

[82]  Paul M. Thompson,et al.  Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size , 2018, Molecular Psychiatry.

[83]  Yiyun Huang,et al.  Age-Related Change in 5-HT6 Receptor Availability in Healthy Male Volunteers Measured with 11C-GSK215083 PET , 2018, The Journal of Nuclear Medicine.

[84]  R. Carson,et al.  Noradrenergic Activity in the Human Brain: A Mechanism Supporting the Defense Against Hypoglycemia , 2018, The Journal of clinical endocrinology and metabolism.

[85]  C. Jack,et al.  Pittsburgh compound-B PET white matter imaging and cognitive function in late multiple sclerosis , 2018, Multiple sclerosis.

[86]  K. Cosgrove,et al.  Use of Electronic Cigarettes Leads to Significant Beta2-Nicotinic Acetylcholine Receptor Occupancy: Evidence From a PET Imaging Study , 2018, Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco.

[87]  Neda Bernasconi,et al.  Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study , 2018, Brain : a journal of neurology.

[88]  Peter B. Jones,et al.  Morphometric Similarity Networks Detect Microscale Cortical Organization and Predict Inter-Individual Cognitive Variation , 2017, Neuron.

[89]  Silvia Brem,et al.  Cortical Abnormalities Associated With Pediatric and Adult Obsessive-Compulsive Disorder: Findings From the ENIGMA Obsessive-Compulsive Disorder Working Group. , 2017, The American journal of psychiatry.

[90]  S. Dienel,et al.  Altered Gradients of Glutamate and Gamma-Aminobutyric Acid Transcripts in the Cortical Visuospatial Working Memory Network in Schizophrenia , 2017, Biological Psychiatry.

[91]  Jennifer Fedor,et al.  Cortical and subcortical brain morphometry differences between patients with autism spectrum disorders (ASD) and healthy individuals across the lifespan: results from the ENIGMA-ASD working group , 2017 .

[92]  Danielle S Bassett,et al.  Specificity and robustness of long-distance connections in weighted, interareal connectomes , 2017, Proceedings of the National Academy of Sciences.

[93]  Yiyun Huang,et al.  Kinetic evaluation and test–retest reproducibility of [11C]UCB-J, a novel radioligand for positron emission tomography imaging of synaptic vesicle glycoprotein 2A in humans , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[94]  Peter Fonagy,et al.  Structural covariance networks are coupled to expression of genes enriched in supragranular layers of the human cortex , 2017, NeuroImage.

[95]  Erick Jorge Canales-Rodríguez,et al.  Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group , 2017, Molecular Psychiatry.

[96]  Peter F. Neher,et al.  The challenge of mapping the human connectome based on diffusion tractography , 2017, Nature Communications.

[97]  Christopher H. Chatham,et al.  Cerebral blood flow predicts differential neurotransmitter activity , 2017, bioRxiv.

[98]  Vladimir S Fonov,et al.  Network connectivity determines cortical thinning in early Parkinson’s disease progression , 2017, Nature Communications.

[99]  S. Gauthier,et al.  Quantification of brain cholinergic denervation in Alzheimer’s disease using PET imaging with [18F]-FEOBV , 2017, Molecular Psychiatry.

[100]  Peter B. Jones,et al.  Adolescent Tuning of Association Cortex in Human Structural Brain Networks , 2017, bioRxiv.

[101]  Richard E Carson,et al.  Determination of receptor occupancy in the presence of mass dose: [11C]GSK189254 PET imaging of histamine H3 receptor occupancy by PF-03654746 , 2017, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[102]  Thomas Fritz,et al.  Test–retest measurements of dopamine D1-type receptors using simultaneous PET/MRI imaging , 2017, European Journal of Nuclear Medicine and Molecular Imaging.

[103]  Lachlan T. Strike,et al.  Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group , 2016, Molecular Psychiatry.

[104]  A. de Laat,et al.  Network meta-analysis. , 2017, Journal of oral rehabilitation.

[105]  Leonardo L. Gollo,et al.  Connectome sensitivity or specificity: which is more important? , 2016, NeuroImage.

[106]  R. E. Carson,et al.  Imaging of cerebral α4β2* nicotinic acetylcholine receptors with (−)-[18F]Flubatine PET: Implementation of bolus plus constant infusion and sensitivity to acetylcholine in human brain , 2016, NeuroImage.

[107]  Yiyun Huang,et al.  Reduced Brain Cannabinoid Receptor Availability in Schizophrenia , 2016, Biological Psychiatry.

[108]  Michael Bloch,et al.  OCD is associated with an altered association between sensorimotor gating and cortical and subcortical 5-HT1b receptor binding. , 2016, Journal of affective disorders.

[109]  Ben D. Fulcher,et al.  A transcriptional signature of hub connectivity in the mouse connectome , 2016, Proceedings of the National Academy of Sciences.

[110]  Fernando Calamante,et al.  The contribution of geometry to the human connectome , 2016, NeuroImage.

[111]  Yiyun Huang,et al.  Rapid Changes in Cannabinoid 1 Receptor Availability in Cannabis-Dependent Male Subjects After Abstinence From Cannabis. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[112]  Claus Svarer,et al.  A High-Resolution In Vivo Atlas of the Human Brain's Serotonin System , 2017, The Journal of Neuroscience.

[113]  G. A. Miller,et al.  Replacing DSM Categorical Analyses With Dimensional Analyses in Psychiatry Research: The Research Domain Criteria Initiative. , 2015, JAMA psychiatry.

[114]  Allan R. Jones,et al.  Canonical Genetic Signatures of the Adult Human Brain , 2015, Nature Neuroscience.

[115]  Alan Connelly,et al.  SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography , 2015, NeuroImage.

[116]  Adeel Razi,et al.  Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington’s disease , 2015, Brain : a journal of neurology.

[117]  Alan C. Evans,et al.  Network structure of brain atrophy in de novo Parkinson's disease , 2015, eLife.

[118]  Richard F. Betzel,et al.  Cooperative and Competitive Spreading Dynamics on the Human Connectome , 2015, Neuron.

[119]  M. Rietschel,et al.  Correlated gene expression supports synchronous activity in brain networks , 2015, Science.

[120]  V. Mittal,et al.  Updating the research domain criteria: the utility of a motor dimension , 2015, Psychological Medicine.

[121]  Richard E Carson,et al.  Imaging the Cannabinoid CB1 Receptor in Humans with [11C] OMAR: Assessment of Kinetic Analysis Methods, Test–Retest Reproducibility, and Gender Differences , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[122]  Jared X. Van Snellenberg,et al.  Deficits in prefrontal cortical and extrastriatal dopamine release in schizophrenia: a positron emission tomographic functional magnetic resonance imaging study. , 2015, JAMA psychiatry.

[123]  P. Fox,et al.  Identification of a common neurobiological substrate for mental illness. , 2015, JAMA psychiatry.

[124]  M. Breakspear,et al.  The connectomics of brain disorders , 2015, Nature Reviews Neuroscience.

[125]  Christine M Sandiego,et al.  Reference Region Modeling Approaches for Amphetamine Challenge Studies with [11C]FLB 457 and PET , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[126]  Michael Weiner,et al.  Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer's Disease. , 2015, Cell reports.

[127]  Robert Freedman,et al.  Sensory processing dysfunction in the personal experience and neuronal machinery of schizophrenia. , 2015, The American journal of psychiatry.

[128]  E. Kobayashi,et al.  Characterization of age/sex and the regional distribution of mGluR5 availability in the healthy human brain measured by high-resolution [11C]ABP688 PET , 2015, European Journal of Nuclear Medicine and Molecular Imaging.

[129]  Richard E. Carson,et al.  Test–retest reliability of the novel 5-HT1B receptor PET radioligand [11C]P943 , 2015, European Journal of Nuclear Medicine and Molecular Imaging.

[130]  Jan Sijbers,et al.  Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data , 2014, NeuroImage.

[131]  Richard E. Carson,et al.  Reductions in Brain 5-HT1B Receptor Availability in Primarily Cocaine-Dependent Humans , 2014, Biological Psychiatry.

[132]  Alan C. Evans,et al.  Epidemic Spreading Model to Characterize Misfolded Proteins Propagation in Aging and Associated Neurodegenerative Disorders , 2014, PLoS Comput. Biol..

[133]  S. Cappa,et al.  Brain connectivity in neurodegenerative diseases—from phenotype to proteinopathy , 2014, Nature Reviews Neurology.

[134]  B. Leventhal,et al.  Unraveling the Miswired Connectome: A Developmental Perspective , 2014, Neuron.

[135]  C. Neill Epperson,et al.  Sex differences in anxiety and depression clinical perspectives , 2014, Frontiers in Neuroendocrinology.

[136]  E. Bullmore,et al.  The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.

[137]  Ludovica Griffanti,et al.  Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.

[138]  Richard E. Carson,et al.  Decreased norepinephrine transporter availability in obesity: Positron Emission Tomography imaging with (S,S)-[11C]O-methylreboxetine , 2014, NeuroImage.

[139]  O. Sporns,et al.  Network hubs in the human brain , 2013, Trends in Cognitive Sciences.

[140]  Alan C. Evans Networks of anatomical covariance , 2013, NeuroImage.

[141]  Essa Yacoub,et al.  The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.

[142]  Nick C Fox,et al.  Molecular nexopathies: a new paradigm of neurodegenerative disease , 2013, Trends in Neurosciences.

[143]  Mark Jenkinson,et al.  The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.

[144]  Joaquín Goñi,et al.  Abnormal rich club organization and functional brain dynamics in schizophrenia. , 2013, JAMA psychiatry.

[145]  Thomas R. Knösche,et al.  White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI , 2013, NeuroImage.

[146]  D. Geschwind,et al.  Sex differences in autism spectrum disorders. , 2013, Current opinion in neurology.

[147]  L. Cammoun,et al.  The Connectome Mapper: An Open-Source Processing Pipeline to Map Connectomes with MRI , 2012, PloS one.

[148]  Yiyun Huang,et al.  Positron emission tomography shows elevated cannabinoid CB1 receptor binding in men with alcohol dependence. , 2012, Alcoholism, clinical and experimental research.

[149]  J. Trojanowski,et al.  Pathological α-Synuclein Transmission Initiates Parkinson-like Neurodegeneration in Nontransgenic Mice , 2012, Science.

[150]  Siegfried Kasper,et al.  Normative database of the serotonergic system in healthy subjects using multi-tracer PET , 2012, NeuroImage.

[151]  Allan R. Jones,et al.  An anatomically comprehensive atlas of the adult human brain transcriptome , 2012, Nature.

[152]  M. Weiner,et al.  A Network Diffusion Model of Disease Progression in Dementia , 2012, Neuron.

[153]  Abraham Z. Snyder,et al.  Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.

[154]  Patric Hagmann,et al.  Mapping the human connectome at multiple scales with diffusion spectrum MRI , 2012, Journal of Neuroscience Methods.

[155]  V. Galea,et al.  Sensory Processing in Autism: A Review of Neurophysiologic Findings , 2012 .

[156]  Derek K. Jonesa,et al.  Controversies White matter integrity , fi ber count , and other fallacies : The do ' s and don ' ts of diffusion MRI , 2012 .

[157]  O. Sporns,et al.  Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.

[158]  Richard E Carson,et al.  The effect of early trauma exposure on serotonin type 1B receptor expression revealed by reduced selective radioligand binding. , 2011, Archives of general psychiatry.

[159]  G. Bartzokis Alzheimer's disease as homeostatic responses to age-related myelin breakdown , 2011, Neurobiology of Aging.

[160]  Marisa O. Hollinshead,et al.  The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.

[161]  Richard M. Leahy,et al.  Brainstorm: A User-Friendly Application for MEG/EEG Analysis , 2011, Comput. Intell. Neurosci..

[162]  M. Hoehn,et al.  Parkinsonism , 1967, Neurology.

[163]  J. Neumaier,et al.  Reduced ventral striatal/ventral pallidal serotonin1B receptor binding potential in major depressive disorder , 2011, Psychopharmacology.

[164]  Yosuke Tanaka,et al.  Molecular Motors in Neurons: Transport Mechanisms and Roles in Brain Function, Development, and Disease , 2010, Neuron.

[165]  J. Goldstein,et al.  Sex differences in schizophrenia , 2010, International review of psychiatry.

[166]  John X. Morris,et al.  Spatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition , 2010, Proceedings of the National Academy of Sciences.

[167]  Andrei G. Vlassenko,et al.  Regional aerobic glycolysis in the human brain , 2010, Proceedings of the National Academy of Sciences.

[168]  R. Carson,et al.  PET imaging of the effects of age and cocaine on the norepinephrine transporter in the human brain using (S,S)‐[11C]O‐methylreboxetine and HRRT , 2010, Synapse.

[169]  Richard E Carson,et al.  Kinetic Modeling of the Serotonin 5-HT1B Receptor Radioligand [11C]P943 in Humans , 2010, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[170]  Keith A. Johnson,et al.  Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.

[171]  A. Connelly,et al.  Improved probabilistic streamlines tractography by 2 nd order integration over fibre orientation distributions , 2009 .

[172]  P. Mahadevan,et al.  An overview , 2007, Journal of Biosciences.

[173]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[174]  M. Lenzenweger Schizotaxia, schizotypy, and schizophrenia: Paul E. Meehl's blueprint for the experimental psychopathology and genetics of schizophrenia. , 2006, Journal of abnormal psychology.

[175]  Benjamin J. Shannon,et al.  Molecular, Structural, and Functional Characterization of Alzheimer's Disease: Evidence for a Relationship between Default Activity, Amyloid, and Memory , 2005, The Journal of Neuroscience.

[176]  Michael Breakspear,et al.  Spatiotemporal wavelet resampling for functional neuroimaging data , 2004, Human brain mapping.

[177]  D. Budescu,et al.  The dominance analysis approach for comparing predictors in multiple regression. , 2003, Psychological methods.

[178]  D. Budescu Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. , 1993 .

[179]  H Woodside,et al.  A Developmental Perspective , 1977, Canadian journal of occupational therapy. Revue canadienne d'ergotherapie.