A positive-negative mode of population covariation links brain connectivity, demographics and behavior

Cited by (859)

Items 401–500 of 859

  1. Leveraging multivariate approaches to advance the science of early-life adversity
    Alexis E. Brieant, Lucinda M. Sisk, Taylor Jay Keding, Emily M. Cohodes, Dylan G. Gee · 2024 · Child Abuse & Neglect
  2. Reduced Segregation Between Cognitive and Emotional Processes in Cannabis Dependence
    Peter Manza, Ehsan Shokri Kojori, Nora D. Volkow · 2019 · Cerebral Cortex
  3. Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality
    Rajan Kashyap, Sagarika Bhattacharjee, B.T. Thomas Yeo, Shen‐Hsing Annabel Chen · 2019 · Human Brain Mapping
  4. Relationship Between Basic Properties of BOLD Fluctuations and Calculated Metrics of Complexity in the Human Connectome Project
    Shella Dawn Keilholz, Eric A. Maltbie, Xiaodi Zhang, Behnaz Yousefi, Wen‐Ju Pan, Nan Xu, Maysam Nezafati, Theodore J. LaGrow, Ying Guo · 2020 · Frontiers in Neuroscience
  5. Sensory, somatomotor and internal mentation networks emerge dynamically in the resting brain with internal mentation predominating in older age
    Lu Zhang, Jiajia Zhao, Qunjie Zhou, Zhaowen Liu, Yi Zhang, Wei Cheng, Weikang Gong, Xiaoping Hu, Wenlian Lu, Edward Thomas Bullmore et al. · 2021 · NeuroImage
  6. Brain Network Correlates of Emotional Aging
    Youngwook Lyoo, Sujung J. Yoon · 2017 · Scientific Reports
  7. Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson’s disease
    Byeongwook Lee, Christina B. Young, Weidong Cai, Rui Yuan, Sephira G. Ryman, Jeehyun Kim, Laurice Yang, Victor W. Henderson, Kathleen L. Poston, Vinod Menon · 2025 · Nature Communications
  8. Adolescent neurodevelopment and psychopathology: The interplay between adversity exposure and genetic risk for accelerated brain ageing
    Raluca Petrican, Alex Fornito · 2023 · Developmental Cognitive Neuroscience
  9. Both activated and less‐activated regions identified by functional MRI reconfigure to support task executions
    Nianming Zuo, Zhengyi Yang, Yong Liu, Jin Li, Tianzi Jiang · 2017 · Brain and Behavior
  10. Subject‐specific segregation of functional territories based on deep phenotyping
    Ana Lúısa Pinho, Alexis Amadon, Murielle Fabre, Elvis Dohmatob, Isabelle Denghien, Juan Jesús Torre, Chantal Ginisty, Séverine Becuwe-Desmidt, Séverine Roger, Laurence Laurier et al. · 2020 · Human Brain Mapping
  11. Network Neuroscience Methods for Studying Intelligence
    Kirsten Hilger, Olaf Sporns · 2021 · Cambridge University Press eBooks
  12. Detecting and testing altered brain connectivity networks with k-partite network topology
    Shuo Chen, F. DuBois Bowman, Yishi Xing · 2019 · Computational Statistics & Data Analysis
  13. Commentary: Functional connectome fingerprint: identifying individuals using patterns of brain connectivity
    Claudinei Eduardo Biazoli, Giovanni Abrahão Salum, Pedro Mário Pan, André Zugman, Edson Amaro, Luís Augusto Rohde, Eurı́pedes Constantino Miguel, Andrea Parolin Jackowski, Rodrigo A. Bressan, João Ricardo Sato · 2017 · Frontiers in Human Neuroscience
  14. On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists
    Maxwell A. Bertolero, Danielle S. Bassett · 2019
  15. A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets
    Fábio S. Ferreira, Ágoston Mihalik, Rick A. Adams, John Ashburner, Janaı́na Mourão-Miranda · 2021 · NeuroImage
  16. Limited generalizability of multivariate brain-based dimensions of child psychiatric symptoms
    Bing Xu, Lorenza Dall’Aglio, John Coleman Flournoy, Gerda Bortsova, Brenden Tervo‐Clemmens, Paul F. Collins, Marleen de Bruijne, Monica M. Luciana, André F. Marquand, Hao Wang et al. · 2024 · Communications Psychology
  17. Nuclei-specific hypothalamus networks predict a dimensional marker of stress in humans
    Daria E. A. Jensen, Klaus P. Ebmeier, Sana Suri, Matthew F. S. Rushworth, Miriam C. Klein-Flügge · 2024 · Nature Communications
  18. Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application
    Junle Li, Suhui Jin, Zhen Li, Xiangli Zeng, Yuping Yang, Zhenzhen Luo, Xiaoyu Xu, Zaixu Cui, Yaou Liu, Jinhui Wang · 2024 · Advanced Science
  19. Multi-Connection Pattern Analysis: Decoding the representational content of neural communication
    Yuanning Li, Robert Mark Richardson, Avniel Singh Ghuman · 2017 · NeuroImage
  20. Sex-Dependent Associations among Maternal Depressive Symptoms, Child Reward Network, and Behaviors in Early Childhood
    Qiang Wang, Han Zhang, Joann S. Poh, Diliana Pecheva, Birit F. P. Broekman, Yap Seng Chong, Lynette Pei‐Chi Shek, Peter David Gluckman, Marielle Valerie Fortier, Michael Joseph Meaney et al. · 2019 · Cerebral Cortex
  21. Characterising neural plasticity at the single patient level using connectivity fingerprints
    Natalie Voets, Ōiwi Parker Jones, Rogier B. Mars, Jane Adcock, Richard J. Stacey, Vasileios Apostolopoulos, Puneet Plaha · 2019 · NeuroImage Clinical
  22. Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech
    Yongjie Zhu, Jia Liu, Tapani Ristaniemi, Fengyu Cong · 2019 · International Journal of Neural Systems
  23. Lifestyle risks associated with brain functional connectivity and structure
    Edmund T. Rolls, Ruiqing Feng, Jianfeng Feng · 2023 · Human Brain Mapping
  24. A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome
    Kwangsun Yoo, Monica D. Rosenberg, Young Hye Kwon, Dustin Scheinost, Robert Todd Constable, Marvin M. Chun · 2022 · NeuroImage
  25. Association of self-regulation with white matter correlates in boys with and without autism spectrum disorder
    Ni, Hsing-Chang, Lin, Hsiang-Yuan, Tseng, Wen-Yih Isaac, Gau, Susan Shur-Fen · 2020 · Scientific Reports
  26. Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics
    He, Tong, Kong, Ru, Holmes, Avram J., Nguyen, Minh, Sabuncu, Mert R., Eickhoff, Simon B., Bzdok, Danilo, Feng, Jiashi, Yeo, B.T. Thomas · 2018
  27. Relation of resting brain signal variability to cognitive and socioemotional measures in an adult lifespan sample
    Cheryl L. Grady, Jenny R Rieck, Giulia Baracchini, Brennan DeSouza · 2023 · Social Cognitive and Affective Neuroscience
  28. Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism
    Zihang Wang, Irina Gaynanova, Aleksandr Y. Aravkin, Benjamin B. Risk · 2024 · Journal of the American Statistical Association
  29. Neuroimaging contrast across the cortical hierarchy is the feature maximally linked to behavior and demographics
    Feng Han, Yameng Gu, Gregory L. Brown, Xiang Zhang, Xiao Liu · 2020 · NeuroImage
  30. Stability test of canonical correlation analysis for studying brain‐behavior relationships: The effects of subject‐to‐variable ratios and correlation strengths
    Qing‐Qing Yang, Xinxin Zhang, Yingchao Song, Feng Liu, Wen Qin, Chunshui Yu, Meng Liang · 2021 · Human Brain Mapping
  31. Information content of brain states is explained by structural constraints on state energetics
    Leon Weninger, Pragya Srivastava, Dale Zhou, Jason Z. Kim, Eli J. Cornblath, Maxwell A. Bertolero, Ute Habel, Dorit Merhof, Dani S. Bassett · 2022 · Physical review. E
  32. Large‐scale brain network activation during emotional inhibitory control: Associations with alcohol misuse in college freshmen
    Julia E. Cohen‐Gilbert, Lisa D. H. Nickerson, Anna M. Seraikas, Emily N. Oot, Maya M. Rieselbach, Eleanor M. Schuttenberg, Jennifer T. Sneider, Marisa M. Silveri · 2022 · Alcoholism Clinical and Experimental Research
  33. Internal Education and the Roots of Resilience: Relationships and Reflection as the New R’s of Education
    Daniël J. Siegel, Madeleine W. Siegel, Suzanne C. Parker · 2016 · Mindfulness in behavioral health
  34. Contextual and Developmental Differences in the Neural Architecture of Cognitive Control
    Raluca Petrican, Cheryl L. Grady · 2017 · Journal of Neuroscience
  35. State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits
    Yu Takagi, Jun-ichiro Hirayama, Saori Tanaka · 2019 · NeuroImage
  36. Discovering markers of healthy aging: a prospective study in a Danish male birth cohort
    Kiyana Zarnani, Thomas E. Nichols, Fidel Alfaro‐Almagro, Birgitte Fagerlund, Martin Lauritzen, Egill Rostrup, Stephen M. Smith · 2019 · Aging
  37. Association of γ-aminobutyric acid and glutamate/glutamine in the lateral prefrontal cortex with patterns of intrinsic functional connectivity in adults
    Kai Wang, Harry R. Smolker, Mark S. Brown, Hannah R. Snyder, Benjamin L. Hankin, Marie T. Banich · 2020 · Brain Structure and Function
  38. Dynamic Connectivity Alteration Facilitates Cognitive Decline in Alzheimer's Disease Spectrum
    Qing Wang, Cancan He, Zan Wang, Zhijun Zhang, Chunming Xie, Alzheimer’s Disease Neuroimaging Initiative · 2020 · Brain Connectivity
  39. Test-retest reliability of functional brain network characteristics using resting-state EEG and graph theory
    Bahar Moezzi, Brenton G. Hordacre, Carolyn F. Berryman, Michael C. Ridding, Mitchell R. Goldsworthy · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  40. The secret life of predictive brains: what's spontaneous activity for?
    Giovanni Pezzulo, Marco Zorzi, Maurizio Corbetta · 2020 · PsyArXiv (OSF Preprints)
  41. Multilayer meta-matching: Translating phenotypic prediction models from multiple datasets to small data
    Pansheng Chen, Lijun An, Naren Wulan, Chen Zhang, Shaoshi Zhang, Leon Qi Rong Ooi, Ru Kong, Jianzhong Chen, Jianxiao Wu, Sidhant Chopra et al. · 2024 · Imaging Neuroscience
  42. Resting‐state fMRI detects the effects of learning in short term: A visual search training study
    Elisenda Bueichekú, Anna Miró‐Padilla, César Ávila · 2019 · Human Brain Mapping
  43. Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method
    Balázs Szalkai, Bálint Varga, Vince I. Grolmusz · 2018 · Brain Imaging and Behavior
  44. Resolving the Connectome, Spectrally-Specific Functional Connectivity Networks and Their Distinct Contributions to Behavior
    Robert Becker, Alexis Hervais‐Adelman · 2020 · eNeuro
  45. White matter microstructural integrity correlates of emotion dysregulation in children with ADHD: A diffusion imaging tractography study
    Chia‐Jui Tsai, Hsiang‐Yuan Lin, Isaac Wen-Yih Tseng, Susan Shur‐Fen Gau · 2021 · Progress in Neuro-Psychopharmacology and Biological Psychiatry
  46. Dyconnmap: Dynamic connectome mapping—A neuroimaging python module
    Avraam D. Marimpis, Stavros I. Dimitriadis, Rainer Goebel · 2021 · Human Brain Mapping
  47. Relationships between Human Brain Structural Connectomes and Traits
    Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu B, David B. Dunson · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  48. Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile
    Okito Yamashita, Ayumu Yamashita, Yuji Takahara, Yuki Sakai, Yasumasa Okamoto, Go Okada, Masahiro Takamura, Motoaki Nakamura, Takashi Itahashi, Takashi Hanakawa et al. · 2025 · Molecular Psychiatry
  49. Neural correlates of device-based sleep characteristics in adolescents
    Qing Ma, Barbara Jacquelyn Sahakian, Bei Zhang, Zeyu Li, Jin‐Tai Yu, Fei Li, Jianfeng Feng, Wei Cheng · 2025 · Cell Reports
  50. Wearable fNIRS platform for dense sampling and precision functional neuroimaging
    Ali Rahimpour Jounghani, Anupam Kumar, Laura Moreno Carbonell, Ester Patrize Lopez Aguilar, Tulla Bee Picardi, Seth Crawford, Audrey K. Bowden, S. M. Hadi Hosseini · 2025 · npj Digital Medicine
  51. Multi-output predictions from neuroimaging: assessing reduced-rank linear models
    Mehdi Rahim, Bertrand Thirion, Gael P. Varoquaux · 2017 · International Workshop on Pattern Recognition in NeuroImaging
  52. Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study
    Dongya Wu, Xin Li, Tianzi Jiang · 2019 · Science China Life Sciences
  53. The noise-resilient brain: Resting-state oscillatory activity predicts words-in-noise recognition
    Thomas Houweling, Robert Becker, Alexis Hervais‐Adelman · 2020 · Brain and Language
  54. The “Neural Shift” of Sleep Quality and Cognitive Aging: A Resting-State MEG Study of Transient Neural Dynamics
    Roni Tibon, Cam-CAN, Kamen A. Tsvetanov · 2022 · Frontiers in Aging Neuroscience
  55. Dynamic trajectories of connectome state transitions are heritable
    Suhnyoung Jun, Thomas H. Alderson, André Altmann, Sepideh Sadaghiani · 2022 · NeuroImage
  56. Patterns of connectome variability in autism across five functional activation tasks: findings from the LEAP project
    Tristan Looden, Dorothea L. Floris, Alberto Llera, Roselyne J. Chauvin, Tony Charman, Tobias Banaschewski, Declan Murphy, André F. Marquand, Jan K. Buitelaar, Christian F. Beckmann et al. · 2022 · Molecular Autism
  57. Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging
    Mo Hu, Christopher McComb, Kosa Goucher-Lambert · 2023 · Artificial intelligence for engineering design analysis and manufacturing
  58. Altered intersubject functional variability of brain white‐matter in major depressive disorder and its association with gene expression profiles
    Qun Gai, Tongpeng Chu, Qinghe Li, Yuting Guo, Heng Ma, Ying–Hong Shi, Kaili Che, Feng Zhao, Fanghui Dong, Yuna Li et al. · 2024 · Human Brain Mapping
  59. The salience network and human personality: Integrity of white matter tracts within anterior and posterior salience network relates to the self-directedness character trait
    Conrad C. Prillwitz, Theodor Rüber, Martin Reuter, Christian Montag, Bernd Weber, Christian Erich Elger, Sebastian A. Markett · 2018 · Brain Research
  60. A Structure–Function Substrate of Memory for Spatial Configurations in Medial and Lateral Temporal Cortices
    Shahin Tavakol, Qiongling Li, Jessica Royer, Reinder Vos de Wael, Sara Larivière, Alexander J. Lowe, Casey Paquola, Elizabeth Jefferies, Tom Hartley, Andrea Bernasconi et al. · 2021 · Cerebral Cortex
  61. From deep brain phenotyping to functional atlasing
    Bertrand Thirion, Alexis Thual, Ana Lúısa Pinho · 2021 · Current Opinion in Behavioral Sciences
  62. Risk and resilience for alcohol use disorder revealed in brain functional connectivity
    Amanda Elton, James C. Garbutt, Charlotte A. Boettiger · 2021 · NeuroImage Clinical
  63. The Handbook of Wellness Medicine
    J. Snellings · 2020 · Cambridge University Press eBooks
  64. The idiosyncratic nature of confidence
    Joaquín Navajas, Chandni Hindocha, Hebah Foda, Mehdi Keramati, Peter E. Latham, Bahador Bahrami · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  65. Deep Neural Networks Carve the Brain at its Joints
    Maxwell A. Bertolero, Danielle S. Bassett · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  66. Predicting intelligence from fMRI data of the human brain in a few minutes of scan time
    Gabriele Lohmann, Eric Lacosse, Thomas Ethofer, Vinod Kumar, Klaus Scheffler, Jürgen Jost · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  67. Health disparities in preterm births
    Judy E. Brown, Xiaolin Chang, Adam P. Matson, Shabnam Lainwala, Ming‐Hui Chen, Xiaomei S. Cong, Sharon G. Casavant · 2023 · Frontiers in Public Health
  68. Can an online battery match in-person cognitive testing in providing information about age-related cortical morphology?
    Renate Thienel, Léonie Borne, C. Faucher, Anna Behler, Gail A. Robinson, Jürgen Fripp, Joseph Giorgio, Amelia Ceslis, Kerrie McAloney, J. Adsett et al. · 2024 · Brain Imaging and Behavior
  69. Dynamical models reveal anatomically reliable attractor landscapes embedded in resting-state brain networks
    Ruiqi Chen, Matthew F. Singh, Todd Samuel Braver, ShiNung Ching · 2025 · Imaging Neuroscience
  70. Sleep and resting‐state functional magnetic resonance imaging connectivity in middle‐aged adults and the elderly: A population‐based study
    Thom S. Lysen, Hazel I. Zonneveld, Ryan L. Muetzel, M. Arfan Ikram, Annemarie Ida Luik, Meike Willemijn Vernooij, Henning W. Tiemeier · 2020 · Journal of Sleep Research
  71. Relating whole-brain functional connectivity to self-reported negative emotion in a large sample of young adults using group regularized canonical correlation analysis
    Leonardo Tozzi, Elena Tuzhilina, Matthew F. Glasser, Trevor J. Hastie, Leanne Maree Williams · 2021 · NeuroImage
  72. Is resting state fMRI better than individual characteristics at predicting cognition?
    Amir Omidvarnia, Leonard Sasse, Daouia I. Larabi, Federico Raimondo, Felix Hoffstaedter, Jan Kasper, Juergen Dukart, Marvin Petersen, Bastian Cheng, Götz Thomalla et al. · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  73. Brain-environment alignment during movie watching predicts fluid intelligence and affective function in adulthood
    Raluca Petrican, Kim S. Graham, Andrew D. Lawrence · 2021 · NeuroImage
  74. GABA and Executive functions in ASD
    Angeliki Sideraki, Athanasios S. Drigas · 2024 · Scientific Electronic Archives
  75. Cerebellum and social abilities: A structural and functional connectivity study in a transdiagnostic sample
    Yue Kong, Mathilde M. Roser, Indrit Bègue, Yannis Elandaloussi, Nathan Neu, Antoine Grigis, Édouard Duchesnay, Marion Leboyer, Josselin Houenou, Charles Laidi · 2024 · Human Brain Mapping
  76. Nonlinear latent representations of high-dimensional task-fMRI data: Unveiling cognitive and behavioral insights in heterogeneous spatial maps
    Mariam Zabihi, Seyed Mostafa Kia, Thomas Wolfers, Augustijn A. A. de Boer, Charlotte Fraza, Sourena Soheili‐Nezhad, Alberto Llera, Danilo Bzdok, Christian F. Beckmann, Christian F. Beckmann et al. · 2024 · PLoS ONE
  77. FM-APP: Foundation Model for Any Phenotype Prediction via fMRI to sMRI Knowledge Transfer
    Zhibin He, Wuyang Li, Yifan Liu, Xinyu Liu, Junwei Han, Tuo Zhang, Yixuan Yuan · 2024 · IEEE Transactions on Medical Imaging
  78. A novel approach to resilience and its links with education and Alzheimer's disease genetics
    Maria Carrigan, Diana I. Bocancea, Jacob W. Vogel, Anna Catharina van Loenhoud, Niccoló Tesi, Frederik Barkhof, Paul John Lucassen, Wiesje M. van der Flier, Harm J. Krugers, Sven J. van der Lee et al. · 2025 · Alzheimer s & Dementia
  79. Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction
    Zhangdaihong Liu, Kirstie Jane Whitaker, Stephen M. Smith, Thomas E. Nichols · 2022 · Frontiers in Neuroscience
  80. Neural effects of childhood maltreatment on dynamic large-scale brain networks in major depressive disorder
    Qing Wang, Canan He, Dandan Fan, Xinyi Liu, Haisan Zhang, Hongxing Zhang, Zhijun Zhang, Chunming Xie · 2022 · Psychiatry Research
  81. Interpretive JIVE: Connections with CCA and an application to brain connectivity
    Raphiel Murden, Zhengwu Zhang, Ying Guo, Benjamin B. Risk · 2022 · Frontiers in Neuroscience
  82. Linking negative affect, personality and social conditions to structural brain development during the transition from late adolescent to young adulthood
    Jiahui Liu, Yi Zhang, Jiang Qiu, Dongtao Wei · 2023 · Journal of Affective Disorders
  83. Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes
    Amir Omidvarnia, Leonard Sasse, Daouia I. Larabi, Federico Raimondo, Felix Hoffstaedter, Jan Kasper, Juergen Dukart, Marvin Petersen, Bastian Cheng, Götz Thomalla et al. · 2024 · Communications Biology
  84. Exploring individual and group differences in latent brain networks using cross-validated simultaneous component analysis
    Nathaniel E. Helwig, Matthew A. Snodgress · 2019 · NeuroImage
  85. Interindividual Signatures of fMRI Temporal Fluctuations
    Shengchao Zhang, Liam J Spoletini, Benjamin P. Gold, Victoria L. Morgan, Baxter P. Rogers, Catie Chang · 2021 · Cerebral Cortex
  86. Changes in white matter functional networks during wakefulness and sleep
    Yang Yang, Shilei Wang, Jiayi Liu, Guangyuan Zou, Jun Jiang, Binghu Jiang, Wentian Cao, Qihong Zou · 2022 · Human Brain Mapping
  87. Low Rank plus Sparse decomposition of ODFs for improved detection of group-level differences and variable correlations in white matter
    Steven H. Baete, Jingyun Chen, Ying‐Chia Lin, Xiuyuan Wang, Ricardo Otazo, Fernando E. Boada · 2018 · NeuroImage
  88. Impact of Independent Component Analysis Dimensionality on the Test–Retest Reliability of Resting-State Functional Connectivity
    Yizhou Ma, Angus W. MacDonald · 2021 · Brain Connectivity
  89. Large-scale cortical networks are organised in structured cycles
    Mats W.J. van Es, Cameron Higgins, Chetan Gohil, Andrew J. Quinn, Diego Vidaurre, Mark W. Woolrich · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  90. Understanding the Link Between Functional Profiles and Intelligence Through Dimensionality Reduction and Graph Analysis
    Francesco Alberti, Arianna Menardi, Daniel S. Margulies, Antonino Vallesi · 2025 · Human Brain Mapping
  91. Unstable slow oscillations couple with epileptogenic fast‐rhythm bistability in sleep‐related epilepsy: A stereoelectroencephalographic study
    Gaia Burlando, Chiara Belforte, Felix Siebenhühner, Luca Di Tullio, Lorenzo Chiarella, Vladislav O. Myrov, Frédéric Zubler, Monica Roascio, Francesco Cardinale, Satu Palva et al. · 2026 · Epilepsia
  92. Individual theta-band cortical entrainment to speech in quiet predicts word-in-noise comprehension
    Robert Becker, Alexis Hervais‐Adelman · 2023 · Cerebral Cortex Communications
  93. Structural basis of envelope and phase intrinsic coupling modes in the cerebral cortex
    Arnaud Messé, Karl J. Hollensteiner, Céline Delettre, Leigh‐Anne Dell, Florian Pieper, Lena J. Nentwig, Edgar E. Galindo-Leon, Benoît Larrat, Sébastien Mériaux, Jean‐François Mangin et al. · 2023 · NeuroImage
  94. A new beginning of intelligence research. Designing the playground
    John Protzko, Roberto Colom · 2021 · Intelligence
  95. Associations between cortical thickness and anxious/depressive symptoms differ by the quality of early care
    Marta Korom, Nim Tottenham, Emilio A. Valadez, Mary Dozier · 2021 · Development and Psychopathology
  96. Assessing the Repeatability of Multi-Frequency Multi-Layer Brain Network Topologies Across Alternative Researcher’s Choice Paths
    Stavros I. Dimitriadis · 2022 · Neuroinformatics
  97. Longitudinal multi-omics alterations response to 8-week risperidone monotherapy: Evidence linking cortical thickness, transcriptomics and epigenetics
    Xiaofen Zong, Gaohua Wang, Zhaowen Nie, Simeng Ma, Lijun Kang, Nan Zhang, Shenhong Weng, Qing Rong Tan, Junjie Zheng, Maolin Hu · 2023 · Frontiers in Psychiatry
  98. The $\beta$-Model—Maximum Likelihood, Cramér–Rao Bounds, and Hypothesis Testing
    Johan Wahlström, Isaac Skog, Patricio Salvatore La Rosa, Peter Händel, Arye Nehorai · 2017 · IEEE Transactions on Signal Processing
  99. Inferring functional connectivity in fMRI using minimum partial correlation
    Lei Nie, Xian Yang, Paul McMahan Matthews, Zhiwei Xu, Yike Guo · 2017 · Machine Intelligence Research
  100. Population-Shrinkage of Covariance to Estimate Better Brain Functional Connectivity
    Mehdi Rahim, Bertrand Thirion, Gael P. Varoquaux · 2017 · Lecture notes in computer science