Embodying Time in the Brain: A Multi-Dimensional Neuroimaging Meta-Analysis of 95 Duration Processing Studies
暂无分享,去创建一个
J. Coull | S. Eickhoff | M. Tahmasian | C. Eickhoff | R. Khosrowabadi | Narges Naghibi | Nadia Jahangiri
[1] P. Fox,et al. Convergent regional brain abnormalities in behavioral variant frontotemporal dementia: A neuroimaging meta‐analysis of 73 studies , 2022, Alzheimer's & dementia.
[2] Guanmao Chen,et al. Structural and functional brain alterations in anorexia nervosa:A multimodal meta‐analysis of neuroimaging studies , 2021, Human brain mapping.
[3] M. Habib. The Neurological Basis of Developmental Dyslexia and Related Disorders: A Reappraisal of the Temporal Hypothesis, Twenty Years on , 2021, Brain sciences.
[4] R. Asano. The evolution of hierarchical structure building capacity for language and music: a bottom-up perspective , 2021, Primates.
[5] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2021, BMJ.
[6] Lei Wang,et al. The Varying Coherences of Implied Motion Modulates the Subjective Time Perception , 2021, Frontiers in Psychology.
[7] D. Sternad,et al. Neural Encoding and Representation of Time for Sensorimotor Control and Learning , 2020, The Journal of Neuroscience.
[8] Aniruddh D. Patel,et al. How Beat Perception Co-opts Motor Neurophysiology , 2020, Trends in Cognitive Sciences.
[9] M. L. Lambon Ralph,et al. Auditory beat perception is related to speech output fluency in post-stroke aphasia , 2020, Scientific Reports.
[10] Clemens Wöllner,et al. Time perception in human movement: Effects of speed and agency on duration estimation , 2020, Quarterly journal of experimental psychology.
[11] Daniel C. Comstock,et al. Motor and Predictive Processes in Auditory Beat and Rhythm Perception , 2020, Frontiers in Human Neuroscience.
[12] I. Ayhan,et al. Action-induced changes in the perceived temporal features of visual events , 2020, Vision Research.
[13] B. Höhle,et al. Processing of Rhythm in Speech and Music in Adult Dyslexia , 2020, Brain sciences.
[14] Barbara Tillmann,et al. Is atypical rhythm a risk factor for developmental speech and language disorders? , 2020, Wiley interdisciplinary reviews. Cognitive science.
[15] Benjamin Morillon,et al. Natural rhythms of periodic temporal attention , 2020, Nature Communications.
[16] Xiang Wu,et al. Advantage of audition over vision in a perceptual timing task but not in a sensorimotor timing task , 2019, Psychological Research.
[17] Teresa Garcia-Marques,et al. The perception of time is dynamically interlocked with the facial muscle activity , 2019, Scientific Reports.
[18] Franco Cauda,et al. The Neural Correlates of Time: A Meta-analysis of Neuroimaging Studies , 2019, Journal of Cognitive Neuroscience.
[19] Stefan Brodoehl,et al. The importance of different learning stages for motor sequence learning after stroke , 2019, Human brain mapping.
[20] Elena Borra,et al. Large-scale temporo–parieto–frontal networks for motor and cognitive motor functions in the primate brain , 2019, Cortex.
[21] S. Eickhoff,et al. Practical recommendations to conduct a neuroimaging meta‐analysis for neuropsychiatric disorders , 2019, Human brain mapping.
[22] Usha Goswami,et al. Speech rhythm and language acquisition: an amplitude modulation phase hierarchy perspective , 2019, Annals of the New York Academy of Sciences.
[23] Maureen A. Hagan,et al. Mixed Spatial and Movement Representations in the Primate Posterior Parietal Cortex , 2019, Front. Neural Circuits.
[24] Ryota Kanai,et al. Chronotopic maps in human supplementary motor area , 2019, PLoS biology.
[25] Sylvie Droit-Volet,et al. Awareness of the passage of time and self‐consciousness: What do meditators report? , 2019, PsyCh journal.
[26] Dagmar Sternad,et al. The primacy of rhythm: how discrete actions merge into a stable rhythmic pattern. , 2019, Journal of neurophysiology.
[27] Wen Fang,et al. Representation of spatial sequences using nested rules in human prefrontal cortex , 2019, NeuroImage.
[28] S. Teixeira,et al. Music Therapy and Dance as Gait Rehabilitation in Patients With Parkinson Disease: A Review of Evidence , 2019, Journal of geriatric psychiatry and neurology.
[29] J. Coull,et al. Explicit Understanding of Duration Develops Implicitly through Action , 2018, Trends in Cognitive Sciences.
[30] D. Han,et al. Training effects of Interactive Metronome® on golf performance and brain activity in professional woman golf players. , 2018, Human movement science.
[31] Ramesh Balasubramaniam,et al. Sensorimotor Synchronization With Auditory and Visual Modalities: Behavioral and Neural Differences , 2018, Front. Comput. Neurosci..
[32] Dean V. Buonomano,et al. The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions , 2018, Neuron.
[33] Virginie van Wassenhove,et al. The effect of attention and working memory on the estimation of elapsed time , 2018, Scientific Reports.
[34] A. Friederici,et al. The right inferior frontal gyrus processes nested non-local dependencies in music , 2018, Scientific Reports.
[35] David Badre,et al. Frontal Cortex and the Hierarchical Control of Behavior , 2018, Trends in Cognitive Sciences.
[36] Josef P. Rauschecker,et al. Where, When, and How: Are they all sensorimotor? Towards a unified view of the dorsal pathway in vision and audition , 2018, Cortex.
[37] Angela R. Laird,et al. Ten simple rules for neuroimaging meta-analysis , 2018, Neuroscience & Biobehavioral Reviews.
[38] Jessica Ross,et al. The Role of Posterior Parietal Cortex in Beat-based Timing Perception: A Continuous Theta Burst Stimulation Study , 2018, Journal of Cognitive Neuroscience.
[39] Jan W. H. Schnupp,et al. Temporal Processing in Audition: Insights from Music , 2017, Neuroscience.
[40] Sylvain Baillet,et al. Motor origin of temporal predictions in auditory attention , 2017, Proceedings of the National Academy of Sciences.
[41] Peter Hagoort,et al. Broca’s region: A causal role in implicit processing of grammars with crossed non-adjacent dependencies , 2017, Cognition.
[42] A. D. De Volder,et al. Hearing, feeling or seeing a beat recruits a supramodal network in the auditory dorsal stream , 2017, The European journal of neuroscience.
[43] Masaki Tanaka,et al. Cerebellar Roles in Self-Timing for Sub- and Supra-Second Intervals , 2017, The Journal of Neuroscience.
[44] R. French,et al. Embodiment and the origin of interval timing: kinematic and electromyographic data , 2016, Experimental Brain Research.
[45] Nicholas A. Lusk,et al. Interactive roles of the cerebellum and striatum in sub-second and supra-second timing: Support for an initiation, continuation, adjustment, and termination (ICAT) model of temporal processing , 2016, Neuroscience & Biobehavioral Reviews.
[46] S. Castro,et al. Moving Stimuli Facilitate Synchronization But Not Temporal Perception , 2016, Front. Psychol..
[47] Jessica M. Ross,et al. Motor simulation theories of musical beat perception , 2016, Neurocase.
[48] Angela R. Laird,et al. Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation , 2016, NeuroImage.
[49] M. Morrone,et al. Perceived visual time depends on motor preparation and direction of hand movements , 2016, Scientific Reports.
[50] Kentaro Yamamoto,et al. Effect of motion coherence on time perception relates to perceived speed , 2016, Vision Research.
[51] W. Meck,et al. Temporal cognition: Connecting subjective time to perception, attention, and memory. , 2016, Psychological bulletin.
[52] Richard B Ivry,et al. Editorial overview: Time in perception and action , 2016, Current Opinion in Behavioral Sciences.
[53] Kielan Yarrow,et al. How the motor system both encodes and influences our sense of time , 2016, Current Opinion in Behavioral Sciences.
[54] Franck Vidal,et al. When to act, or not to act: that's the SMA's question , 2016, Current Opinion in Behavioral Sciences.
[55] Yuki Murai,et al. Context-Dependent Neural Modulations in the Perception of Duration , 2016, Front. Integr. Neurosci..
[56] J. Izawa,et al. The cerebro-cerebellum: Could it be loci of forward models? , 2016, Neuroscience Research.
[57] Ruth E. Cumming,et al. Awareness of Rhythm Patterns in Speech and Music in Children with Specific Language Impairments , 2015, Front. Hum. Neurosci..
[58] Jing Li,et al. Voxel-wise meta-analyses of brain blood flow and local synchrony abnormalities in medication-free patients with major depressive disorder. , 2015, Journal of psychiatry & neuroscience : JPN.
[59] Andreas Horn,et al. A single dual-stream framework for syntactic computations in music and language , 2015, NeuroImage.
[60] Hedderik van Rijn,et al. Single trial beta oscillations index time estimation , 2015, Neuropsychologia.
[61] Liang Zhou,et al. Synchronization to a bouncing ball with a realistic motion trajectory , 2015, Scientific Reports.
[62] Rie Asano,et al. Syntax in language and music: what is the right level of comparison? , 2015, Front. Psychol..
[63] William H. Warren,et al. On-line and model-based approaches to the visual control of action , 2015, Vision Research.
[64] S. Nishida,et al. Apparent Time Interval of Visual Stimuli Is Compressed during Fast Hand Movement , 2015, PloS one.
[65] Victor J. Boucher,et al. The perceptual chunking of speech: A demonstration using ERPs , 2015, Brain Research.
[66] Hugo Merchant,et al. Finding the beat: a neural perspective across humans and non-human primates , 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.
[67] S. Kotz,et al. Can rhythmic auditory cuing remediate language‐related deficits in Parkinson's disease? , 2015, Annals of the New York Academy of Sciences.
[68] C. Schroeder,et al. Neuronal oscillations as a mechanistic substrate of auditory temporal prediction , 2015, Annals of the New York Academy of Sciences.
[69] J. Devin McAuley,et al. Perspectives on the rhythm–grammar link and its implications for typical and atypical language development , 2015, Annals of the New York Academy of Sciences.
[70] R. Knight,et al. Redefining the role of Broca’s area in speech , 2015, Proceedings of the National Academy of Sciences.
[71] Hyeon-Ae Jeon,et al. Hierarchical processing in the prefrontal cortex in a variety of cognitive domains , 2014, Front. Syst. Neurosci..
[72] C. Li,et al. Dissociable Roles of Right Inferior Frontal Cortex and Anterior Insula in Inhibitory Control: Evidence from Intrinsic and Task-Related Functional Parcellation, Connectivity, and Response Profile Analyses across Multiple Datasets , 2014, The Journal of Neuroscience.
[73] S. Fujii,et al. The Role of Rhythm in Speech and Language Rehabilitation: The SEP Hypothesis , 2014, Front. Hum. Neurosci..
[74] Roy H. Hamilton,et al. Space, time, and causality in the human brain , 2014, NeuroImage.
[75] W. Fitch,et al. Hierarchical processing in music, language, and action: Lashley revisited , 2014, Annals of the New York Academy of Sciences.
[76] J. Raduà,et al. Meta-analysis of functional neuroimaging studies indicates that an increase of cognitive difficulty during executive tasks engages brain regions associated with time perception , 2014, Neuropsychologia.
[77] M. Petrides,et al. Cortico-cortical connections of areas 44 and 45B in the macaque monkey , 2014, Brain and Language.
[78] Jennifer T. Coull,et al. Metrical Rhythm Implicitly Orients Attention in Time as Indexed by Improved Target Detection and Left Inferior Parietal Activation , 2014, Journal of Cognitive Neuroscience.
[79] Hedderik van Rijn,et al. Decoupling Interval Timing and Climbing Neural Activity: A Dissociation between CNV and N1P2 Amplitudes , 2014, The Journal of Neuroscience.
[80] Henkjan Honing,et al. Are non-human primates capable of rhythmic entrainment? Evidence for the gradual audiomotor evolution hypothesis , 2014, Front. Neurosci..
[81] Aniruddh D. Patel,et al. The evolutionary neuroscience of musical beat perception: the Action Simulation for Auditory Prediction (ASAP) hypothesis , 2013, Front. Syst. Neurosci..
[82] Christian Scheiber,et al. Discrete sequence production with and without a pause: the role of cortex, basal ganglia, and cerebellum , 2013, Front. Hum. Neurosci..
[83] Hugo Merchant,et al. Neural basis of the perception and estimation of time. , 2013, Annual review of neuroscience.
[84] Luping Shi,et al. Behind the magical numbers: Hierarchical Chunking and the Human Working Memory Capacity , 2013, Int. J. Neural Syst..
[85] Louise P. Kirsch,et al. Time perception during apparent biological motion reflects subjective speed of movement, not objective rate of visual stimulation , 2013, Experimental Brain Research.
[86] G. Luppino,et al. Connectional heterogeneity of the ventral part of the macaque area 46. , 2013, Cerebral cortex.
[87] M. Schlesewsky,et al. Reconciling time, space and function: A new dorsal–ventral stream model of sentence comprehension , 2013, Brain and Language.
[88] Peter E. Keller,et al. Synchronizing with auditory and visual rhythms: An fMRI assessment of modality differences and modality appropriateness , 2013, NeuroImage.
[89] Thierry Pozzo,et al. Time perception of visual motion is tuned by the motor representation of human actions , 2013, Scientific Reports.
[90] J Radua,et al. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps , 2012, European Psychiatry.
[91] J. O'Doherty,et al. Contributions of the striatum to learning, motivation, and performance: an associative account , 2012, Trends in Cognitive Sciences.
[92] Scott T. Grafton,et al. Differential Recruitment of the Sensorimotor Putamen and Frontoparietal Cortex during Motor Chunking in Humans , 2012, Neuron.
[93] Sonja A. Kotz,et al. Functional dissociation of pre-SMA and SMA-proper in temporal processing , 2012, NeuroImage.
[94] Angela R. Laird,et al. Activation likelihood estimation meta-analysis revisited , 2012, NeuroImage.
[95] V. Penhune,et al. Author's Personal Copy Behavioural Brain Research Parallel Contributions of Cerebellar, Striatal and M1 Mechanisms to Motor Sequence Learning , 2022 .
[96] Simon B Eickhoff,et al. Minimizing within‐experiment and within‐group effects in activation likelihood estimation meta‐analyses , 2012, Human brain mapping.
[97] C. Keysers,et al. Probabilistic tractography recovers a rostrocaudal trajectory of connectivity variability in the human insular cortex , 2011, Human brain mapping.
[98] Luciano Fadiga,et al. Role of Broca's Area in Implicit Motor Skill Learning: Evidence from Continuous Theta-burst Magnetic Stimulation , 2012, Journal of Cognitive Neuroscience.
[99] Timothy D. Griffiths,et al. Distinct Neural Substrates of Duration-Based and Beat-Based Auditory Timing , 2011, The Journal of Neuroscience.
[100] Josef P. Rauschecker,et al. An expanded role for the dorsal auditory pathway in sensorimotor control and integration , 2011, Hearing Research.
[101] Naomi B. Pitskel,et al. Three Systems of Insular Functional Connectivity Identified with Cluster Analysis , 2010, Cerebral cortex.
[102] Mitsuo Kawato,et al. Cerebellar Internal Models: Implications for the Dexterous Use of Tools , 2012, The Cerebellum.
[103] Martin Wiener,et al. Implicit timing activates the left inferior parietal cortex , 2010, Neuropsychologia.
[104] S. Kotz,et al. Cortical speech processing unplugged: a timely subcortico-cortical framework , 2010, Trends in Cognitive Sciences.
[105] Peter Lakatos,et al. Dynamics of Active Sensing and perceptual selection , 2010, Current Opinion in Neurobiology.
[106] Martin Wiener,et al. The image of time: A voxel-wise meta-analysis , 2010, NeuroImage.
[107] G. Luppino,et al. Cortical connections of the macaque caudal ventrolateral prefrontal areas 45A and 45B. , 2010, Cerebral cortex.
[108] A. Craig,et al. Emotional moments across time: a possible neural basis for time perception in the anterior insula , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[109] M. Wittmann. The inner experience of time , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[110] Richard B Ivry,et al. Evaluating dedicated and intrinsic models of temporal encoding by varying context , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[111] R. Miall,et al. The precision of temporal judgement: milliseconds, many minutes, and beyond , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[112] Dean V Buonomano,et al. Influence of the interstimulus interval on temporal processing and learning: testing the state-dependent network model , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[113] J. Snyder,et al. Pulse and Meter as Neural Resonance , 2009, Annals of the New York Academy of Sciences.
[114] Robert J Zatorre,et al. The Role of Auditory and Premotor Cortex in Sensorimotor Transformations , 2009, Annals of the New York Academy of Sciences.
[115] L. Craighero,et al. Broca's Area in Language, Action, and Music , 2009, Annals of the New York Academy of Sciences.
[116] Jessica A. Grahn,et al. The Role of the Basal Ganglia in Beat Perception , 2009, Annals of the New York Academy of Sciences.
[117] Jessica A. Grahn,et al. Feeling the Beat: Premotor and Striatal Interactions in Musicians and Nonmusicians during Beat Perception , 2009, The Journal of Neuroscience.
[118] Karl J. Friston,et al. Predictive coding under the free-energy principle , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.
[119] Stephen M. Smith,et al. Meta-analysis of neuroimaging data: A comparison of image-based and coordinate-based pooling of studies , 2009, NeuroImage.
[120] Remco J. Renken,et al. Cerebral representations of space and time , 2009, NeuroImage.
[121] T. Chaminade,et al. Neural correlates of Early Stone Age toolmaking: technology, language and cognition in human evolution , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.
[122] Bahador Bahrami,et al. Sensory and Association Cortex in Time Perception , 2008, Journal of Cognitive Neuroscience.
[123] A. Nobre,et al. Dissociating explicit timing from temporal expectation with fMRI , 2008, Current Opinion in Neurobiology.
[124] J. Krakauer,et al. A computational neuroanatomy for motor control , 2008, Experimental Brain Research.
[125] Robert J. Zatorre,et al. Moving on Time: Brain Network for Auditory-Motor Synchronization is Modulated by Rhythm Complexity and Musical Training , 2008, Journal of Cognitive Neuroscience.
[126] M. Paulus,et al. Decision making, impulsivity and time perception , 2008, Trends in Cognitive Sciences.
[127] L. Barsalou. Grounded cognition. , 2008, Annual review of psychology.
[128] Michael J. Martinez,et al. Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template , 2007, Human brain mapping.
[129] G. Luppino,et al. Multimodal architectonic subdivision of the caudal ventrolateral prefrontal cortex of the macaque monkey , 2007, Brain Structure and Function.
[130] R. Zatorre,et al. When the brain plays music: auditory–motor interactions in music perception and production , 2007, Nature Reviews Neuroscience.
[131] M. Lindquist,et al. Meta-analysis of functional neuroimaging data: current and future directions. , 2007, Social cognitive and affective neuroscience.
[132] R. Schubotz. Opinion TRENDS in Cognitive Sciences Vol.11 No.5 Prediction , 2022 .
[133] Neil P. McAngus Todd,et al. The Contribution of Anthropometric Factors to Individual Differences in the Perception of Rhythm , 2007 .
[134] Angela D. Friederici,et al. Broca's Area and the Ventral Premotor Cortex in Language: Functional Differentiation and Specificity , 2006, Cortex.
[135] R. Andersen,et al. The posterior parietal cortex: Sensorimotor interface for the planning and online control of visually guided movements , 2006, Neuropsychologia.
[136] C. Fiebach,et al. Dynamic Anticipatory Processing of Hierarchical Sequential Events: a Common Role for Broca's Area and Ventral Premotor Cortex Across Domains? , 2006, Cortex.
[137] E. Koechlin,et al. Broca's Area and the Hierarchical Organization of Human Behavior , 2006, Neuron.
[138] Michael J. Martinez,et al. Music and language side by side in the brain: a PET study of the generation of melodies and sentences , 2006, The European journal of neuroscience.
[139] P. A. Lewis,et al. A right hemispheric prefrontal system for cognitive time measurement , 2006, Behavioural Processes.
[140] R. Wise,et al. Sounds do-able: auditory–motor transformations and the posterior temporal plane , 2005, Trends in Neurosciences.
[141] Catalin V. Buhusi,et al. What makes us tick? Functional and neural mechanisms of interval timing , 2005, Nature Reviews Neuroscience.
[142] Hamish G MacDougall,et al. Marching to the beat of the same drummer: the spontaneous tempo of human locomotion. , 2005, Journal of applied physiology.
[143] L. Barsalou,et al. Embodiment in Attitudes, Social Perception, and Emotion , 2005, Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc.
[144] Simon B. Eickhoff,et al. A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.
[145] Aniruddh D. Patel,et al. The influence of metricality and modality on synchronization with a beat , 2005, Experimental Brain Research.
[146] Kae Nakamura,et al. Emergence of rhythm during motor learning , 2004, Trends in Cognitive Sciences.
[147] Annett Schirmer,et al. Timing speech: a review of lesion and neuroimaging findings. , 2004, Brain research. Cognitive brain research.
[148] S. Grondin,et al. Benefits and limits of explicit counting for discriminating temporal intervals. , 2004, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.
[149] H. Zelaznik,et al. Disrupted Timing of Discontinuous But Not Continuous Movements by Cerebellar Lesions , 2003, Science.
[150] M. Kawato,et al. Modular organization of internal models of tools in the human cerebellum , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[151] R. Miall,et al. Distinct systems for automatic and cognitively controlled time measurement: evidence from neuroimaging , 2003, Current Opinion in Neurobiology.
[152] K. Doya,et al. A unifying computational framework for motor control and social interaction. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[153] R Caminiti,et al. Eye-hand coordination during reaching. II. An analysis of the relationships between visuomanual signals in parietal cortex and parieto-frontal association projections. , 2001, Cerebral cortex.
[154] L. Jäncke,et al. Cortical activations during paced finger-tapping applying visual and auditory pacing stimuli. , 2000, Brain research. Cognitive brain research.
[155] S. Strakowski,et al. Neuroimaging in bipolar disorder. , 2000, Bipolar disorders.
[156] L. Jäncke,et al. Tapping movements according to regular and irregular visual timing signals investigated with fMRI , 2000, Neuroreport.
[157] R. Kawashima,et al. Human cerebellum plays an important role in memory-timed finger movement: an fMRI study. , 2000, Journal of neurophysiology.
[158] O Hikosaka,et al. Neural Representation of a Rhythm Depends on Its Interval Ratio , 1999, The Journal of Neuroscience.
[159] Neil P. McAngus Todd,et al. Motion in Music: A Neurobiological Perspective , 1999 .
[160] A. Graybiel. The Basal Ganglia and Chunking of Action Repertoires , 1998, Neurobiology of Learning and Memory.
[161] Jeffrey M. Hausdorff,et al. Gait variability and basal ganglia disorders: Stride‐to‐stride variations of gait cycle timing in parkinson's disease and Huntington's disease , 1998, Movement disorders : official journal of the Movement Disorder Society.
[162] P. Essens,et al. Metrical and nonmetrical representations of temporal patterns , 1985, Perception & psychophysics.
[163] G. A. Miller. THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .