Connectome-based modelling of neurodegenerative diseases: towards precision medicine and mechanistic insight

[1]  John X. Morris,et al.  Proteome wide association studies of LRRK2 variants identify novel causal and druggable proteins for Parkinson’s disease , 2023, NPJ Parkinson's disease.

[2]  C. Jack,et al.  Default mode network failure and neurodegeneration across aging and amnestic and dysexecutive Alzheimer’s disease , 2023, Brain communications.

[3]  Mark J. Wall,et al.  Tau in cerebrospinal fluid induces neuronal hyperexcitability and alters hippocampal theta oscillations , 2023, bioRxiv.

[4]  W. de Haan,et al.  A multi-scale model explains oscillatory slowing and neuronal hyperactivity in Alzheimer’s disease , 2023, Journal of the Royal Society Interface.

[5]  A. Noyce,et al.  Association Between Antiepileptic Drugs and Incident Parkinson Disease in the UK Biobank. , 2022, JAMA neurology.

[6]  Robert S. C. Amaral,et al.  Optimal deep brain stimulation sites and networks for stimulation of the fornix in Alzheimer’s disease , 2022, Nature communications.

[7]  J. Weiss,et al.  Age-dependent dysregulation of locus coeruleus firing in a transgenic rat model of Alzheimer's disease , 2022, Neurobiology of Aging.

[8]  Ixavier A. Higgins,et al.  Combining tau-PET and fMRI meta-analyses for patient-centered prediction of cognitive decline in Alzheimer’s disease , 2022, Alzheimer's Research & Therapy.

[9]  Stuart J. Ritchie,et al.  A quantified comparison of cortical atlases on the basis of trait morphometricity , 2022, Cortex.

[10]  C. Caltagirone,et al.  Precuneus magnetic stimulation for Alzheimer’s disease: a randomized, sham-controlled trial , 2022, Brain : a journal of neurology.

[11]  T. Südhof,et al.  Synaptogenic effect of APP-Swedish mutation in familial Alzheimer’s disease , 2022, Science Translational Medicine.

[12]  Wha Jin Lee,et al.  Dynamic network model reveals distinct tau spreading patterns in early- and late-onset Alzheimer disease , 2022, Alzheimer's research & therapy.

[13]  Rene L. Utianski,et al.  Functional connectivity to the premotor cortex maps onto longitudinal brain neurodegeneration in progressive apraxia of speech , 2022, Neurobiology of Aging.

[14]  B. Franke,et al.  Local molecular and global connectomic contributions to cross-disorder cortical abnormalities , 2022, Nature Communications.

[15]  Keith A. Johnson,et al.  Network Tau spreading is vulnerable to the expression gradients of APOE and glutamatergic-related genes , 2022, Science Translational Medicine.

[16]  F. de Leeuw,et al.  Disentangling the effects of Alzheimer’s and small vessel disease on white matter fibre tracts , 2022, Brain : a journal of neurology.

[17]  O. Sporns,et al.  Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation , 2022, Neuron.

[18]  Jesse A. Brown,et al.  A dynamic gradient architecture generates brain activity states , 2022, NeuroImage.

[19]  P. McColgan,et al.  Neurofilament light-associated connectivity in young-adult Huntington’s disease is related to neuronal genes , 2022, Brain : a journal of neurology.

[20]  Jason S. Nomi,et al.  A parsimonious description of global functional brain organization in three spatiotemporal patterns , 2021, Nature Neuroscience.

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

[22]  A. Dagher,et al.  Predicting longitudinal brain atrophy in Parkinson’s disease using a Susceptible-Infected-Removed agent-based model , 2022, Network Neuroscience.

[23]  S. Cichon,et al.  Combined analysis of cytoarchitectonic, molecular and transcriptomic patterns reveal differences in brain organization across human functional brain systems , 2022, NeuroImage.

[24]  Evan Z. Macosko,et al.  Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease , 2022, Nature Neuroscience.

[25]  L. Mucke,et al.  TAU ablation in excitatory neurons and postnatal TAU knockdown reduce epilepsy, SUDEP, and autism behaviors in a Dravet syndrome model , 2022, Science Translational Medicine.

[26]  Jesse A. Brown,et al.  Regional Aβ-tau interactions promote onset and acceleration of Alzheimer’s disease tau spreading , 2022, Neuron.

[27]  J. Gunter,et al.  A computational model of neurodegeneration in Alzheimer’s disease , 2022, Nature Communications.

[28]  J. Trojanowski,et al.  Tau deposition patterns are associated with functional connectivity in primary tauopathies , 2022, Nature Communications.

[29]  M. Ewers,et al.  Higher levels of myelin are associated with higher resistance against tau pathology in Alzheimer’s disease , 2022, Alzheimer's Research & Therapy.

[30]  Theresa M. Harrison,et al.  Rates of β-amyloid deposition indicate widespread simultaneous accumulation throughout the brain , 2022, Neurobiology of Aging.

[31]  O. Hansson,et al.  Subtypes of Alzheimer’s disease: questions, controversy, and meaning , 2022, Trends in Neurosciences.

[32]  Pedro D. Maia,et al.  The effects of microglia on tauopathy progression can be quantified using Nexopathy in silico (Nexis) models , 2021, Scientific Reports.

[33]  A. Dagher,et al.  Differentially targeted seeding reveals unique pathological alpha-synuclein propagation patterns , 2021, Brain : a journal of neurology.

[34]  J. Trojanowski,et al.  Ex vivo MRI and histopathology detect novel iron-rich cortical inflammation in frontotemporal lobar degeneration with tau versus TDP-43 pathology , 2021, NeuroImage: Clinical.

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

[36]  A. Mezer,et al.  The glial framework reveals white matter fiber architecture in human and primate brains , 2021, Science.

[37]  Tobias R. Baumeister,et al.  Personalized brain models identify neurotransmitter receptor changes in Alzheimer's disease. , 2021, Brain : a journal of neurology.

[38]  Justin S. Sanchez,et al.  In vivo rate-determining steps of tau seed accumulation in Alzheimer’s disease , 2021, Science advances.

[39]  C. Stam,et al.  Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings , 2021, Scientific Reports.

[40]  J. Gee,et al.  Rates of longitudinal change in 18F‐flortaucipir PET vary by brain region, cognitive impairment, and age in atypical Alzheimer's disease , 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

[41]  Wietske van der Zwaag,et al.  Advances in resting state fMRI acquisitions for functional connectomics , 2021, NeuroImage.

[42]  B. Giasson,et al.  α-Synuclein-induced dysregulation of neuronal activity contributes to murine dopamine neuron vulnerability , 2021, NPJ Parkinson's disease.

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

[44]  Ling Yu Hung,et al.  Three-dimensional mapping of neurofibrillary tangle burden in the human medial temporal lobe. , 2021, Brain : a journal of neurology.

[45]  Valerie J. Sydnor,et al.  Neurodevelopment of the association cortices: Patterns, mechanisms, and implications for psychopathology , 2021, Neuron.

[46]  Alan C. Evans,et al.  Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer’s disease , 2021, bioRxiv.

[47]  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.

[48]  V. Mok,et al.  Large‐scale plasma proteomic profiling identifies a high‐performance biomarker panel for Alzheimer's disease screening and staging , 2021, Alzheimer's & dementia : the journal of the Alzheimer's Association.

[49]  Jane S. Paulsen,et al.  Tracking Huntingtonʼs Disease Progression Using Motor, Functional, Cognitive, and Imaging Markers , 2021, Movement disorders : official journal of the Movement Disorder Society.

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

[51]  Jorge Sepulcre,et al.  Longitudinal predictive modeling of tau progression along the structural connectome , 2021, NeuroImage.

[52]  Sterling C. Johnson,et al.  Four distinct trajectories of tau deposition identified in Alzheimer’s disease , 2021, Nature Medicine.

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

[54]  David R. Kelley,et al.  Effective gene expression prediction from sequence by integrating long-range interactions , 2021, Nature Methods.

[55]  Alzheimer's Disease Neuroimaging Initiative,et al.  Investigating hypotheses of neurodegeneration by learning dynamical systems of protein propagation in the brain , 2021, NeuroImage.

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

[57]  M. Rajah,et al.  Latent patterns of task-related functional connectivity in relation to regions of hyperactivation in individuals at risk of Alzheimer’s disease , 2021, NeuroImage: Clinical.

[58]  A. Fagan,et al.  Segregation of functional networks is associated with cognitive resilience in Alzheimer's disease. , 2021, Brain : a journal of neurology.

[59]  M. Filippi,et al.  Functional Connectomics and Disease Progression in Drug‐Naïve Parkinson's Disease Patients , 2021, Movement disorders : official journal of the Movement Disorder Society.

[60]  F. Scharnowski,et al.  Targeting hippocampal hyperactivity with real-time fMRI neurofeedback: protocol of a single-blind randomized controlled trial in mild cognitive impairment , 2021, BMC Psychiatry.

[61]  Evan M. Gordon,et al.  Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior , 2021, bioRxiv.

[62]  O. Ciccarelli,et al.  Mind the gap: from neurons to networks to outcomes in multiple sclerosis , 2021, Nature Reviews Neurology.

[63]  E. Kuhl,et al.  Network Diffusion Modeling Explains Longitudinal Tau PET Data , 2020, Frontiers in Neuroscience.

[64]  K. Blennow,et al.  Untangling the association of amyloid-β and tau with synaptic and axonal loss in Alzheimer’s disease , 2020, Brain : a journal of neurology.

[65]  Muhammad Naveed Iqbal Qureshi,et al.  Intrinsic connectivity of the human brain provides scaffold for tau aggregation in clinical variants of Alzheimer's disease , 2020, Science Translational Medicine.

[66]  Shannon L. Risacher,et al.  Tau-related white-matter alterations along spatially selective pathways , 2020, NeuroImage.

[67]  Bratislav Misic,et al.  Learning function from structure in neuromorphic networks , 2020, Nature Machine Intelligence.

[68]  Peter R. Martin,et al.  Tau and Amyloid Relationships with Resting-state Functional Connectivity in Atypical Alzheimer's Disease. , 2020, Cerebral cortex.

[69]  M. Ewers,et al.  Patient-centered connectivity-based prediction of tau pathology spread in Alzheimer’s disease , 2020, Science Advances.

[70]  J. Trojanowski,et al.  Neuronal activity modulates alpha-synuclein aggregation and spreading in organotypic brain slice cultures and in vivo , 2020, Acta Neuropathologica.

[71]  K. Amunts,et al.  The natural axis of transmitter receptor distribution in the human cerebral cortex , 2020, Proceedings of the National Academy of Sciences.

[72]  Christos Davatzikos,et al.  QSIPrep: An integrative platform for preprocessing and reconstructing diffusion MRI , 2020, bioRxiv.

[73]  Keith A. Johnson,et al.  Resting-state functional connectivity and amyloid burden influence longitudinal cortical thinning in the default mode network in preclinical Alzheimer’s disease , 2020, NeuroImage: Clinical.

[74]  Daniel R. Schonhaut,et al.  Spatial Relationships between Molecular Pathology and Neurodegeneration in the Alzheimer's Disease Continuum. , 2020, Cerebral cortex.

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

[76]  Cooper A. Smout,et al.  Open science saves lives: lessons from the COVID-19 pandemic , 2020, bioRxiv.

[77]  Ryan V. Raut,et al.  Hierarchical dynamics as a macroscopic organizing principle of the human brain , 2020, Proceedings of the National Academy of Sciences.

[78]  Ixavier A. Higgins,et al.  Connectome-mediated prediction of future tau-PET burden in Alzheimer’s disease , 2020, bioRxiv.

[79]  B. Hyman,et al.  Synergy between amyloid-β and tau in Alzheimer’s disease , 2020, Nature Neuroscience.

[80]  Geoffrey M. Barrett,et al.  Chemogenetic attenuation of neuronal activity in the entorhinal cortex reduces Aβ and tau pathology in the hippocampus , 2020, PLoS biology.

[81]  F. Jessen,et al.  Assessment of 18F-PI-2620 as a Biomarker in Progressive Supranuclear Palsy , 2020, JAMA neurology.

[82]  Jean-Philippe Thiran,et al.  A new method for accurate in vivo mapping of human brain connections using microstructural and anatomical information , 2020, Science Advances.

[83]  Ben D. Fulcher,et al.  Genetic influences on hub connectivity of the human connectome , 2020, Nature Communications.

[84]  B. Strooper,et al.  Tipping the Scales: Peptide-Dependent Dysregulation of Neural Circuit Dynamics in Alzheimer’s Disease , 2020, Neuron.

[85]  Koen V. Haak,et al.  Understanding brain organisation in the face of functional heterogeneity and functional multiplicity , 2020, NeuroImage.

[86]  J. Shendure,et al.  Predicting mRNA Abundance Directly from Genomic Sequence Using Deep Convolutional Neural Networks. , 2020, Cell reports.

[87]  E. Ruppin,et al.  Predicting tissue-specific gene expression from whole blood transcriptome , 2020, Science Advances.

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

[89]  Jessica A. Collins,et al.  Altered functional connectivity of cortical networks in semantic variant Primary Progressive Aphasia , 2020, NeuroImage: Clinical.

[90]  N. Neff,et al.  Molecular characterization of selectively vulnerable neurons in Alzheimer’s Disease , 2020, Nature Neuroscience.

[91]  J. Trojanowski,et al.  Protein transmission in neurodegenerative disease , 2020, Nature Reviews Neurology.

[92]  Ilwoo Lyu,et al.  Network localization of clinical, cognitive, and neuropsychiatric symptoms in Alzheimer's disease. , 2020, Brain : a journal of neurology.

[93]  J. Kleinman,et al.  Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex , 2020, Nature Neuroscience.

[94]  E. Kuhl,et al.  Protein-protein interactions in neurodegenerative diseases: A conspiracy theory , 2020, bioRxiv.

[95]  Sterling C. Johnson,et al.  Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease , 2020, Nature Communications.

[96]  John L. Robinson,et al.  The development and convergence of co-pathologies in Alzheimer's disease. , 2020, Brain : a journal of neurology.

[97]  A. Rodal,et al.  TDP-43 dysfunction restricts dendritic complexity by inhibiting CREB activation and altering gene expression , 2019, Proceedings of the National Academy of Sciences.

[98]  G. Frisoni,et al.  Analysis of brain atrophy and local gene expression in genetic frontotemporal dementia , 2019, bioRxiv.

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

[100]  G. Frisoni,et al.  Brain functional network integrity sustains cognitive function despite atrophy in presymptomatic genetic frontotemporal dementia , 2019, Alzheimer's & dementia : the journal of the Alzheimer's Association.

[101]  Evan M. Gordon,et al.  Defining Individual-Specific Functional Neuroanatomy for Precision Psychiatry , 2019, Biological Psychiatry.

[102]  J. Trojanowski,et al.  Amyloid-Beta (Aβ) Plaques Promote Seeding and Spreading of Alpha-Synuclein and Tau in a Mouse Model of Lewy Body Disorders with Aβ Pathology , 2019, Neuron.

[103]  Theresa M. Harrison,et al.  Tau deposition is associated with functional isolation of the hippocampus in aging , 2019, Nature Communications.

[104]  Keith A. Johnson,et al.  Longitudinal degradation of the default/salience network axis in symptomatic individuals with elevated amyloid burden. , 2019, NeuroImage: Clinical.

[105]  M. Murray,et al.  Clinicopathologic subtype of Alzheimer's disease presenting as corticobasal syndrome , 2019, Alzheimer's & Dementia.

[106]  R. N. Spreng,et al.  Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling , 2019, Human brain mapping.

[107]  A. Konnerth,et al.  A vicious cycle of β amyloid–dependent neuronal hyperactivation , 2019, Science.

[108]  Sean C. Bendall,et al.  The basis of cellular and regional vulnerability in Alzheimer’s disease , 2019, Acta Neuropathologica.

[109]  M. Corbetta,et al.  A human memory circuit derived from brain lesions causing amnesia , 2019, Nature Communications.

[110]  Benjamin Freeze,et al.  Regional transcriptional architecture of Parkinson's disease pathogenesis and network spread. , 2019, Brain : a journal of neurology.

[111]  S. Belleville,et al.  Evidence of parietal hyperactivation in individuals with mild cognitive impairment who progressed to dementia: A longitudinal fMRI study , 2019, NeuroImage: Clinical.

[112]  E. Kuhl,et al.  Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome , 2019, bioRxiv.

[113]  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.

[114]  David Berron,et al.  Alzheimer's pathology targets distinct memory networks in the ageing brain. , 2019, Brain : a journal of neurology.

[115]  Abraham Z. Snyder,et al.  Emergent Functional Network Effects in Parkinson Disease. , 2019, Cerebral cortex.

[116]  Xi-Nian Zuo,et al.  Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion. , 2019, Cerebral cortex.

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

[118]  Danielle S Bassett,et al.  Motion artifact in studies of functional connectivity: Characteristics and mitigation strategies , 2019, Human brain mapping.

[119]  Nick C Fox,et al.  Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia , 2019, Neurobiology of Aging.

[120]  Sang Won Seo,et al.  Functional connectivity associated with tau levels in ageing, Alzheimer’s, and small vessel disease , 2019, Brain : a journal of neurology.

[121]  B. Miller,et al.  Differential intrinsic functional connectivity changes in semantic variant primary progressive aphasia , 2019, NeuroImage: Clinical.

[122]  Jesse A. Brown,et al.  Thalamo-cortical network hyperconnectivity in preclinical progranulin mutation carriers , 2019, NeuroImage: Clinical.

[123]  Alain Goriely,et al.  A physics-based model explains the prion-like features of neurodegeneration in Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis , 2019, Journal of the Mechanics and Physics of Solids.

[124]  Alan C. Evans,et al.  Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease , 2019, bioRxiv.

[125]  E. Kuhl,et al.  Prion-like spreading of Alzheimer’s disease within the brain’s connectome , 2019, bioRxiv.

[126]  I. Nelken,et al.  Tau impairs neural circuits, dominating amyloid-β effects, in Alzheimer models in vivo , 2018, Nature Neuroscience.

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

[128]  D. Geschwind,et al.  Neurons selectively targeted in frontotemporal dementia reveal early stage TDP-43 pathobiology , 2018, Acta Neuropathologica.

[129]  M. Vendruscolo,et al.  A tau homeostasis signature is linked with the cellular and regional vulnerability of excitatory neurons to tau pathology , 2018, Nature Neuroscience.

[130]  Quanzheng Li,et al.  Neurogenetic contributions to amyloid beta and tau spreading in the human cortex , 2018, Nature Medicine.

[131]  A. Dagher,et al.  Local vulnerability and global connectivity jointly shape neurodegenerative disease propagation , 2019, PLoS biology.

[132]  Mathias Jucker,et al.  Propagation and spread of pathogenic protein assemblies in neurodegenerative diseases , 2018, Nature Neuroscience.

[133]  Peter F. Neher,et al.  Limits to anatomical accuracy of diffusion tractography using modern approaches , 2018, NeuroImage.

[134]  John Hardy,et al.  Selective vulnerability in neurodegenerative diseases , 2018, Nature Neuroscience.

[135]  V. Ntziachristos,et al.  Amyloid Plaques of Alzheimer’s Disease as Hotspots of Glutamatergic Activity , 2018, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[136]  J. Gold,et al.  On the nature and use of models in network neuroscience , 2018, Nature Reviews Neuroscience.

[137]  H. Braak,et al.  Spreading of Tau Pathology in Sporadic Alzheimer’s Disease Along Cortico-cortical Top-Down Connections , 2018, Cerebral cortex.

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

[139]  John L. Robinson,et al.  Neurodegenerative disease concomitant proteinopathies are prevalent, age-related and APOE4-associated , 2018, Brain : a journal of neurology.

[140]  Chandra L. Theesfeld,et al.  Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk , 2018, Nature Genetics.

[141]  Sylvain Williams,et al.  Alzheimer’s Transgenic Model Is Characterized by Very Early Brain Network Alterations and β-CTF Fragment Accumulation: Reversal by β-Secretase Inhibition , 2018, Front. Cell. Neurosci..

[142]  Simona Olmi,et al.  Controlling seizure propagation in large-scale brain networks , 2018, bioRxiv.

[143]  Massimo Filippi,et al.  Changes in functional and structural brain connectome along the Alzheimer’s disease continuum , 2018, Molecular Psychiatry.

[144]  T. Iwatsubo,et al.  Extracellular α-synuclein levels are regulated by neuronal activity , 2018, Molecular Neurodegeneration.

[145]  Boaz Styr,et al.  Imbalance between firing homeostasis and synaptic plasticity drives early-phase Alzheimer’s disease , 2018, Nature Neuroscience.

[146]  Chris M. Foster,et al.  Both hyper- and hypo-activation to cognitive challenge are associated with increased beta-amyloid deposition in healthy aging: A nonlinear effect , 2018, NeuroImage.

[147]  Jorge Sepulcre,et al.  Structural tract alterations predict down-stream tau accumulation in amyloid positive older individuals , 2018, Nature Neuroscience.

[148]  Luca Passamonti,et al.  Tau burden and the functional connectome in Alzheimer’s disease and progressive supranuclear palsy , 2018, Brain : a journal of neurology.

[149]  Samuel Frere,et al.  Alzheimer’s Disease: From Firing Instability to Homeostasis Network Collapse , 2018, Neuron.

[150]  Luc Buée,et al.  What is the evidence that tau pathology spreads through prion-like propagation? , 2017, Acta neuropathologica communications.

[151]  G. Chételat,et al.  Distinct influence of specific versus global connectivity on the different Alzheimer’s disease biomarkers , 2017, Brain : a journal of neurology.

[152]  Daniel R. Schonhaut,et al.  Tau pathology and neurodegeneration contribute to cognitive impairment in Alzheimer’s disease , 2017, Brain : a journal of neurology.

[153]  Clifford R. Jack,et al.  Tau, amyloid, and cascading network failure across the Alzheimer's disease spectrum , 2017, Cortex.

[154]  Yang Yang,et al.  Small vulnerable sets determine large network cascades in power grids , 2017, Science.

[155]  D. Sharp,et al.  Spatiotemporal Distribution of β-Amyloid in Alzheimer Disease Is the Result of Heterogeneous Regional Carrying Capacities , 2017, The Journal of Nuclear Medicine.

[156]  Keith A. Johnson,et al.  Tau and amyloid β proteins distinctively associate to functional network changes in the aging brain , 2017, Alzheimer's & Dementia.

[157]  Henrik Zetterberg,et al.  Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity , 2017, Nature Communications.

[158]  Rik Ossenkoppele,et al.  Distinct 18F‐AV‐1451 tau PET retention patterns in early‐ and late‐onset Alzheimer's disease , 2017, Brain : a journal of neurology.

[159]  Evan M. Gordon,et al.  Precision Functional Mapping of Individual Human Brains , 2017, Neuron.

[160]  A. Raj,et al.  Connectivity, not region-intrinsic properties, predicts regional vulnerability to progressive tau pathology in mouse models of disease , 2017, Acta Neuropathologica Communications.

[161]  W. Seeley Mapping Neurodegenerative Disease Onset and Progression. , 2017, Cold Spring Harbor perspectives in biology.

[162]  F. Elahi,et al.  A clinicopathological approach to the diagnosis of dementia , 2017, Nature Reviews Neurology.

[163]  Cory Y. McLean,et al.  Sequential regulatory activity prediction across chromosomes with convolutional neural networks , 2017, bioRxiv.

[164]  Lars Muckli,et al.  Laminar fMRI: Applications for cognitive neuroscience , 2017, NeuroImage.

[165]  Dimo Ivanov,et al.  High-resolution in vivo imaging of human locus coeruleus by magnetization transfer MRI at 3T and 7T , 2017, NeuroImage.

[166]  Gereon R Fink,et al.  NETWORKS OF TAU DISTRIBUTION IN ALZHEIMER’S DISEASE , 2017, Alzheimer's & Dementia.

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

[168]  Frank G. Hillary,et al.  Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity , 2017, Trends in Cognitive Sciences.

[169]  Agneta Nordberg,et al.  Cortical laminar tau deposits and activated astrocytes in Alzheimer’s disease visualised by 3H-THK5117 and 3H-deprenyl autoradiography , 2017, Scientific Reports.

[170]  O. Hansson,et al.  Tau Pathology Distribution in Alzheimer's disease Corresponds Differentially to Cognition-Relevant Functional Brain Networks , 2017, Frontiers in Neuroscience.

[171]  F. Valldeoriola,et al.  Discriminating cognitive status in Parkinson’s disease through functional connectomics and machine learning , 2017, Scientific Reports.

[172]  F. Wendling,et al.  Functional connectivity disruptions correlate with cognitive phenotypes in Parkinson's disease , 2017, NeuroImage: Clinical.

[173]  C. Zurzolo,et al.  Transfer of disrupted-in-schizophrenia 1 aggregates between neuronal-like cells occurs in tunnelling nanotubes and is promoted by dopamine , 2017, Open Biology.

[174]  G. Rees,et al.  Operationalizing compensation over time in neurodegenerative disease , 2017, Brain : a journal of neurology.

[175]  O. Sporns,et al.  Network neuroscience , 2017, Nature Neuroscience.

[176]  Julia M. Huntenburg,et al.  A Systematic Relationship Between Functional Connectivity and Intracortical Myelin in the Human Cerebral Cortex , 2017, Cerebral cortex.

[177]  Elizabeth Jefferies,et al.  Situating the default-mode network along a principal gradient of macroscale cortical organization , 2016, Proceedings of the National Academy of Sciences.

[178]  Peter B. Jones,et al.  Gene transcription profiles associated with inter-modular hubs and connection distance in human functional magnetic resonance imaging networks , 2016, Philosophical Transactions of the Royal Society B: Biological Sciences.

[179]  Maria Luisa Gorno-Tempini,et al.  Distinct Subtypes of Behavioral Variant Frontotemporal Dementia Based on Patterns of Network Degeneration. , 2016, JAMA neurology.

[180]  Nick C Fox,et al.  Hyperphosphorylated tau in patients with refractory epilepsy correlates with cognitive decline: a study of temporal lobe resections. , 2016, Brain : a journal of neurology.

[181]  Thomas E. Nichols,et al.  Scanning the horizon: towards transparent and reproducible neuroimaging research , 2016, Nature Reviews Neuroscience.

[182]  S. A. Hussaini,et al.  Neuronal activity enhances tau propagation and tau pathology in vivo , 2016, Nature Neuroscience.

[183]  Michelle K. Cahill,et al.  Progranulin Deficiency Promotes Circuit-Specific Synaptic Pruning by Microglia via Complement Activation , 2016, Cell.

[184]  Daniel R. Schonhaut,et al.  Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. , 2016, Brain : a journal of neurology.

[185]  D. Selkoe,et al.  A critical appraisal of the pathogenic protein spread hypothesis of neurodegeneration , 2016, Nature Reviews Neuroscience.

[186]  S. Teipel,et al.  Spatial patterns of atrophy, hypometabolism, and amyloid deposition in Alzheimer's disease correspond to dissociable functional brain networks , 2016, Human brain mapping.

[187]  David T. Jones,et al.  Cascading network failure across the Alzheimer’s disease spectrum , 2015, Brain : a journal of neurology.

[188]  M. Chun,et al.  Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.

[189]  Á. Pascual-Leone,et al.  Network localization of neurological symptoms from focal brain lesions. , 2015, Brain : a journal of neurology.

[190]  Frederik Barkhof,et al.  The behavioural/dysexecutive variant of Alzheimer's disease: clinical, neuroimaging and pathological features. , 2015, Brain : a journal of neurology.

[191]  Evan M. Gordon,et al.  Functional System and Areal Organization of a Highly Sampled Individual Human Brain , 2015, Neuron.

[192]  Charles DeCarli,et al.  Existing Pittsburgh Compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation. , 2015, Brain : a journal of neurology.

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

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

[195]  Q. Gong,et al.  Decreased Resting-State Interhemispheric Functional Connectivity in Parkinson's Disease , 2015, BioMed research international.

[196]  Arthur Konnerth,et al.  Neuronal hyperactivity – A key defect in Alzheimer's disease? , 2015, BioEssays : news and reviews in molecular, cellular and developmental biology.

[197]  P. Verstreken,et al.  Synaptic Contacts Enhance Cell-to-Cell Tau Pathology Propagation. , 2015, Cell reports.

[198]  Jeffrey M. Zacks,et al.  Task-evoked fMRI changes in attention networks are associated with preclinical Alzheimer’s disease biomarkers , 2015, Neurobiology of Aging.

[199]  Keith A. Johnson,et al.  Amyloid-β deposition in mild cognitive impairment is associated with increased hippocampal activity, atrophy and clinical progression. , 2015, Brain : a journal of neurology.

[200]  Robert T Knight,et al.  Intracranial recordings and human memory , 2015, Current Opinion in Neurobiology.

[201]  Caroline L. Speck,et al.  Response of the medial temporal lobe network in amnestic mild cognitive impairment to therapeutic intervention assessed by fMRI and memory task performance , 2015, NeuroImage: Clinical.

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

[203]  G. Kovacs,et al.  Prevalence of mixed pathologies in the aging brain , 2014, Alzheimer’s Research & Therapy.

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

[205]  Cindee M. Madison,et al.  Neural compensation in older people with brain β-amyloid deposition , 2014, Nature Neuroscience.

[206]  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.

[207]  D. Holtzman,et al.  Neuronal activity regulates extracellular tau in vivo. , 2014, The Journal of experimental medicine.

[208]  Allan R. Jones,et al.  A mesoscale connectome of the mouse brain , 2014, Nature.

[209]  C. Jack,et al.  TDP-43 is a key player in the clinical features associated with Alzheimer’s disease , 2014, Acta Neuropathologica.

[210]  D. Helbing,et al.  The Hidden Geometry of Complex, Network-Driven Contagion Phenomena , 2013, Science.

[211]  Mary E. Meyerand,et al.  The effect of scan length on the reliability of resting-state fMRI connectivity estimates , 2013, NeuroImage.

[212]  B. Miller,et al.  Anterior temporal lobe degeneration produces widespread network-driven dysfunction. , 2013, Brain : a journal of neurology.

[213]  Massimo Filippi,et al.  Functional network connectivity in the behavioral variant of frontotemporal dementia , 2013, Cortex.

[214]  Mathias Jucker,et al.  Self-propagation of pathogenic protein aggregates in neurodegenerative diseases , 2013, Nature.

[215]  Cheryl L. Grady,et al.  Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation , 2013, Cortex.

[216]  Murray Grossman,et al.  Stages of pTDP‐43 pathology in amyotrophic lateral sclerosis , 2013, Annals of neurology.

[217]  M. Ohno,et al.  Mechanisms that lessen benefits of β-secretase reduction in a mouse model of Alzheimer's disease , 2013, Translational Psychiatry.

[218]  A. Snyder,et al.  Resting state functional connectivity of the striatum in Parkinson's disease. , 2012, Brain : a journal of neurology.

[219]  Manuel Graña,et al.  Model‐based analysis of multishell diffusion MR data for tractography: How to get over fitting problems , 2012, Magnetic resonance in medicine.

[220]  Keith A. Vossel,et al.  Levetiracetam suppresses neuronal network dysfunction and reverses synaptic and cognitive deficits in an Alzheimer’s disease model , 2012, Proceedings of the National Academy of Sciences.

[221]  Jason D. Warren,et al.  The paradox of syndromic diversity in Alzheimer disease , 2012, Nature Reviews Neurology.

[222]  Olivier Salvado,et al.  Regional dynamics of amyloid-β deposition in healthy elderly, mild cognitive impairment and Alzheimer's disease: a voxelwise PiB-PET longitudinal study. , 2012, Brain : a journal of neurology.

[223]  K. Jellinger,et al.  Interaction between pathogenic proteins in neurodegenerative disorders , 2012, Journal of cellular and molecular medicine.

[224]  Bert Sakmann,et al.  Critical role of soluble amyloid-β for early hippocampal hyperactivity in a mouse model of Alzheimer’s disease , 2012, Proceedings of the National Academy of Sciences.

[225]  Amy L. Shelton,et al.  Reduction of Hippocampal Hyperactivity Improves Cognition in Amnestic Mild Cognitive Impairment , 2012, Neuron.

[226]  Efstathios D. Gennatas,et al.  Predicting Regional Neurodegeneration from the Healthy Brain Functional Connectome , 2012, Neuron.

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

[228]  Naruhiko Sahara,et al.  Propagation of Tau Pathology in a Model of Early Alzheimer's Disease , 2012, Neuron.

[229]  J. Lerch,et al.  Patterns of Coordinated Anatomical Change in Human Cortical Development: A Longitudinal Neuroimaging Study of Maturational Coupling , 2011, Neuron.

[230]  C. Jack,et al.  Imaging Signatures of Molecular Pathology in Behavioral Variant Frontotemporal Dementia , 2011, Journal of Molecular Neuroscience.

[231]  Jee Hoon Roh,et al.  Neuronal activity regulates the regional vulnerability to amyloid-β deposition , 2011, Nature Neuroscience.

[232]  C. Rowe,et al.  Longitudinal assessment of Aβ and cognition in aging and Alzheimer disease , 2011, Annals of neurology.

[233]  Francisco Lopera,et al.  Hippocampal hyperactivation in presymptomatic familial Alzheimer's disease , 2010, Annals of neurology.

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

[235]  Jürgen Götz,et al.  Dendritic Function of Tau Mediates Amyloid-β Toxicity in Alzheimer's Disease Mouse Models , 2010, Cell.

[236]  L. Mucke,et al.  Amyloid-β–induced neuronal dysfunction in Alzheimer's disease: from synapses toward neural networks , 2010, Nature Neuroscience.

[237]  Efstathios D. Gennatas,et al.  Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. , 2010, Brain : a journal of neurology.

[238]  Keith A. Johnson,et al.  Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia , 2009, Neuron.

[239]  H. Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.

[240]  L. Mucke,et al.  Epilepsy and cognitive impairments in Alzheimer disease. , 2009, Archives of neurology.

[241]  B. Miller,et al.  Neurodegenerative Diseases Target Large-Scale Human Brain Networks , 2009, Neuron.

[242]  Arthur Konnerth,et al.  Clusters of Hyperactive Neurons Near Amyloid Plaques in a Mouse Model of Alzheimer's Disease , 2008, Science.

[243]  I-Fan Wang,et al.  TDP‐43, the signature protein of FTLD‐U, is a neuronal activity‐responsive factor , 2008, Journal of neurochemistry.

[244]  L. Mucke,et al.  Reducing Endogenous Tau Ameliorates Amyloid ß-Induced Deficits in an Alzheimer's Disease Mouse Model , 2007, Science.

[245]  Ahmad Salehi,et al.  Increased App Expression in a Mouse Model of Down's Syndrome Disrupts NGF Transport and Causes Cholinergic Neuron Degeneration , 2006, Neuron.

[246]  D. Bennett,et al.  Hippocampal disconnection contributes to memory dysfunction in individuals at risk for Alzheimer's disease. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[247]  Steven Mennerick,et al.  Synaptic Activity Regulates Interstitial Fluid Amyloid-β Levels In Vivo , 2005, Neuron.

[248]  M. Catani,et al.  The rises and falls of disconnection syndromes. , 2005, Brain : a journal of neurology.

[249]  G. Bartzokis Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease , 2004, Neurobiology of Aging.

[250]  H. Braak,et al.  Poor and protracted myelination as a contributory factor to neurodegenerative disorders , 2004, Neurobiology of Aging.

[251]  Stanley B. Prusiner,et al.  Nobel Lecture: Prions , 1998 .

[252]  M. Mesulam,et al.  From sensation to cognition. , 1998, Brain : a journal of neurology.

[253]  D. German,et al.  Axonal and transneuronal transport in the transmission of neurological disease: Potential role in system degenerations, including alzheimer's disease , 1987, Neuroscience.

[254]  G K Wilcock,et al.  Anatomical correlates of the distribution of the pathological changes in the neocortex in Alzheimer disease. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[255]  S H Appel,et al.  A unifying hypothesis for the cause of amyotrophic lateral sclerosis, parkinsonism, and alzheimer disease , 1981, Annals of neurology.

[256]  OUP accepted manuscript , 2022, Brain.

[257]  Julia M. Huntenburg,et al.  Large-Scale Gradients in Human Cortical Organization , 2018, Trends in Cognitive Sciences.

[258]  A. Kakita,et al.  Sporadic amyotrophic lateral sclerosis of long duration is associated with relatively mild TDP-43 pathology , 2008, Acta Neuropathologica.