{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T02:46:46Z","timestamp":1785552406544,"version":"3.56.0"},"reference-count":89,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T00:00:00Z","timestamp":1751500800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Working memory (WM) relies on brain networks including the prefrontal cortex (PFC) and medial temporal lobe (MTL) as key nodes. Graph theory analysis has recently played an important role in uncovering brain connectivity architectures due to its ability to characterize complex brain networks. Yet, it remains unclear whether the PFC and MTL exhibit distinct effective connectivity patterns during information processing in WM. We employed graph theoretical analysis to investigate connectivity patterns involved in processing of various types of information (i.e., identity, spatial and temporal) in WM and predict behavioral reaction times (RT). Here, we hypothesized that WM processes identity, spatial, and temporal information via frequency-specific and regionally organized brain network mechanism. We analyzed intracranial EEG data from eight surgical epilepsy patients completing a WM task for everyday \u2018what\u2019, \u2018where\u2019, and \u2018when\u2019 information. To measure the effective connectivity between PFC and MTL, we used the directed transfer function and assessed the outputs for multiple graph theoretical metrics (i.e., degree, strength, clustering coefficient, eigenvector centrality, and betweenness centrality). Our findings reveal that theta-band oscillations predominantly support spatial and temporal information processing, with the PFC and orbitofrontal cortex (OFC) playing pivotal roles in spatial and temporal sequencing, respectively. The MTL was central to spatial and spatial-temporal integration. Alpha band connectivity was fundamental for spatial-temporal decoding, whereas beta and high-gamma bands were significant in RT differentiation, particularly in identity and spatial conditions. Notably, the PFC demonstrated widespread engagement across various graph metrics, underscoring its dominance in coordinating WM tasks and modulating cognitive processes. Our findings contribute to the broader understanding of WM\u2019s neural mechanisms and offer insights into the dynamic coordination of brain regions supporting cognitive tasks.<\/jats:p>","DOI":"10.1371\/journal.pone.0326449","type":"journal-article","created":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T17:45:11Z","timestamp":1751564711000},"page":"e0326449","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Distinct neural patterns for various information in working memory: A brain connectivity study"],"prefix":"10.1371","volume":"20","author":[{"given":"Sadaf","family":"Sazesh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashkan","family":"Farrokhi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1226-6132","authenticated-orcid":true,"given":"Vahid","family":"Shalchyan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5297-5019","authenticated-orcid":true,"given":"Elizabeth L.","family":"Johnson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9241-8751","authenticated-orcid":true,"given":"Mohammad Reza","family":"Daliri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,7,3]]},"reference":[{"key":"pone.0326449.ref001","first-page":"47","article-title":"HITCH. 1974. Working memory","volume":"8","author":"AD Baddeley","year":"1974","journal-title":"Psychol Learn Motiv"},{"issue":"1","key":"pone.0326449.ref002","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1038\/s41386-021-01132-0","article-title":"The role of prefrontal cortex in cognitive control and executive function","volume":"47","author":"NP Friedman","year":"2022","journal-title":"Neuropsychopharmacology"},{"issue":"5","key":"pone.0326449.ref003","doi-asserted-by":"crossref","first-page":"49","DOI":"10.3390\/brainsci7050049","article-title":"Working Memory in the Prefrontal Cortex","volume":"7","author":"S Funahashi","year":"2017","journal-title":"Brain Sci"},{"key":"pone.0326449.ref004","first-page":"173","article-title":"The Role of Prefrontal Cortex in Working Memory: A Mini Review","volume":"9","author":"AH Lara","year":"2015","journal-title":"Front Syst Neurosci"},{"issue":"3","key":"pone.0326449.ref005","doi-asserted-by":"crossref","DOI":"10.1093\/braincomms\/fcab125","article-title":"The role of the medial prefrontal cortex in cognition, ageing and dementia","volume":"3","author":"DD Jobson","year":"2021","journal-title":"Brain Commun"},{"issue":"5","key":"pone.0326449.ref006","doi-asserted-by":"crossref","first-page":"1002","DOI":"10.1016\/j.neuron.2014.08.011","article-title":"Insights into human behavior from lesions to the prefrontal cortex","volume":"83","author":"SM Szczepanski","year":"2014","journal-title":"Neuron"},{"issue":"1","key":"pone.0326449.ref007","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/j.neuroscience.2005.07.003","article-title":"Prefrontal cortex and working memory processes","volume":"139","author":"S Funahashi","year":"2006","journal-title":"Neuroscience"},{"issue":"4","key":"pone.0326449.ref008","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0034937","article-title":"Prefrontal cortex lesions impair object-spatial integration","volume":"7","author":"B Voytek","year":"2012","journal-title":"PLoS One"},{"issue":"1","key":"pone.0326449.ref009","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.neuroscience.2005.09.018","article-title":"The functional neuroanatomy of working memory: contributions of human brain lesion studies","volume":"139","author":"NG M\u00fcller","year":"2006","journal-title":"Neuroscience"},{"issue":"12","key":"pone.0326449.ref010","doi-asserted-by":"crossref","DOI":"10.1016\/j.cub.2017.05.046","article-title":"Bidirectional Frontoparietal Oscillatory Systems Support Working Memory","volume":"27","author":"EL Johnson","year":"2017","journal-title":"Current Biology"},{"key":"pone.0326449.ref011","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.cortex.2021.01.016","article-title":"Prefrontal lesions disrupt oscillatory signatures of spatiotemporal integration in working memory","volume":"138","author":"M Parto Dezfouli","year":"2021","journal-title":"Cortex"},{"issue":"9","key":"pone.0326449.ref012","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1162\/jocn_a_01715","article-title":"Prefrontal Lesions Disrupt Posterior Alpha-Gamma Coordination of Visual Working Memory Representations","volume":"33","author":"S Davoudi","year":"2021","journal-title":"J Cogn Neurosci"},{"issue":"1","key":"pone.0326449.ref013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0926-6410(98)00004-4","article-title":"Functional MRI studies of spatial and nonspatial working memory","volume":"7","author":"M D\u2019Esposito","year":"1998","journal-title":"Brain Res Cogn Brain Res"},{"issue":"3","key":"pone.0326449.ref014","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1093\/cercor\/11.3.260","article-title":"The role of dorsolateral prefrontal cortex in the preparation of forthcoming actions: an fMRI study","volume":"11","author":"JB Pochon","year":"2001","journal-title":"Cereb Cortex"},{"issue":"5355","key":"pone.0326449.ref015","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1126\/science.279.5355.1347","article-title":"An area specialized for spatial working memory in human frontal cortex","volume":"279","author":"SM Courtney","year":"1998","journal-title":"Science"},{"issue":"3","key":"pone.0326449.ref016","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/S0028-3932(02)00166-5","article-title":"Functional topography of a distributed neural system for spatial and nonspatial information maintenance in working memory","volume":"41","author":"JB Sala","year":"2003","journal-title":"Neuropsychologia"},{"issue":"4","key":"pone.0326449.ref017","doi-asserted-by":"crossref","first-page":"1069","DOI":"10.1111\/j.1460-9568.2004.03525.x","article-title":"Stimulus duration in working memory is represented by neuronal activity in the monkey prefrontal cortex","volume":"20","author":"Y Sakurai","year":"2004","journal-title":"Eur J Neurosci"},{"issue":"6","key":"pone.0326449.ref018","doi-asserted-by":"crossref","first-page":"876","DOI":"10.1038\/nn.3702","article-title":"Executive control processes underlying multi-item working memory","volume":"17","author":"AH Lara","year":"2014","journal-title":"Nat Neurosci"},{"issue":"12","key":"pone.0326449.ref019","doi-asserted-by":"crossref","first-page":"1132","DOI":"10.1016\/j.tics.2024.07.008","article-title":"Re-evaluating human MTL in working memory: insights from intracranial recordings","volume":"28","author":"J Li","year":"2024","journal-title":"Trends Cogn Sci"},{"issue":"5","key":"pone.0326449.ref020","doi-asserted-by":"crossref","first-page":"051001","DOI":"10.1088\/1741-2552\/abb7a5","article-title":"Insights into human cognition from intracranial EEG: A review of audition, memory, internal cognition, and causality","volume":"17","author":"EL Johnson","year":"2020","journal-title":"J Neural Eng"},{"key":"pone.0326449.ref021","volume-title":"Elements of episodic memory","author":"E Tulving","year":"1983"},{"issue":"4","key":"pone.0326449.ref022","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1101\/lm.73304","article-title":"The hippocampus and memory for \u201cwhat,\u201d \u201cwhere,\u201d and \u201cwhen\u201d","volume":"11","author":"C Ergorul","year":"2004","journal-title":"Learn Mem"},{"issue":"1","key":"pone.0326449.ref023","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1038\/npp.2009.126","article-title":"The episodic memory system: neurocircuitry and disorders","volume":"35","author":"BC Dickerson","year":"2010","journal-title":"Neuropsychopharmacology"},{"issue":"3","key":"pone.0326449.ref024","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pbio.2004274","article-title":"Dynamic frontotemporal systems process space and time in working memory","volume":"16","author":"EL Johnson","year":"2018","journal-title":"PLoS Biol"},{"key":"pone.0326449.ref025","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3389\/fnsys.2018.00065","article-title":"Spectral Imprints of Working Memory for Everyday Associations in the Frontoparietal Network","volume":"12","author":"EL Johnson","year":"2019","journal-title":"Front Syst Neurosci"},{"key":"pone.0326449.ref026","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.3109\/02699052.2012.698787","article-title":"Executive functions after orbital or lateral prefrontal lesions: neuropsychological profiles and self-reported executive functions in everyday living","volume":"26","author":"M L\u00f8vstad","year":"2012","journal-title":"Brain Inj"},{"key":"pone.0326449.ref027","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1196\/annals.1401.038","article-title":"Interactions between the orbitofrontal cortex and the hippocampal memory system during the storage of long-term memory","volume":"1121","author":"SJ Ramus","year":"2007","journal-title":"Ann N Y Acad Sci"},{"issue":"4","key":"pone.0326449.ref028","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1093\/cercor\/bhq153","article-title":"Orbitofrontal contributions to human working memory","volume":"21","author":"AK Barbey","year":"2011","journal-title":"Cereb Cortex"},{"issue":"9","key":"pone.0326449.ref029","doi-asserted-by":"crossref","DOI":"10.1016\/j.cub.2022.03.074","article-title":"Orbitofrontal cortex governs working memory for temporal order","volume":"32","author":"EL Johnson","year":"2022","journal-title":"Curr Biol"},{"issue":"1","key":"pone.0326449.ref030","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.cmpb.2013.05.023","article-title":"Privacy-preserving Kruskal-Wallis test","volume":"112","author":"S Guo","year":"2013","journal-title":"Comput Methods Programs Biomed"},{"key":"pone.0326449.ref031","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.conb.2014.07.021","article-title":"Intracranial recordings and human memory","volume":"31","author":"EL Johnson","year":"2015","journal-title":"Current Opinion in Neurobiology"},{"issue":"4","key":"pone.0326449.ref032","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1038\/s41593-018-0108-2","article-title":"Promises and limitations of human intracranial electroencephalography","volume":"21","author":"J Parvizi","year":"2018","journal-title":"Nat Neurosci"},{"key":"pone.0326449.ref033","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.brainres.2015.11.036","article-title":"Functional connectivity among multi-channel EEGs when working memory load reaches the capacity","volume":"1631","author":"D Zhang","year":"2016","journal-title":"Brain Res"},{"key":"pone.0326449.ref034","doi-asserted-by":"crossref","unstructured":"Blinowska KJ, Kami\u0144ski M, Brzezicka A, Kami\u0144ski J. Application of directed transfer function and network formalism for the assessment of functional connectivity in working memory task. 2013.","DOI":"10.1098\/rsta.2011.0614"},{"issue":"3","key":"pone.0326449.ref035","doi-asserted-by":"crossref","first-page":"1850046","DOI":"10.1142\/S0129065718500466","article-title":"Coupling Between Brain Structures During Visual and Auditory Working Memory Tasks","volume":"29","author":"M Kaminski","year":"2019","journal-title":"Int J Neural Syst"},{"issue":"5","key":"pone.0326449.ref036","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1007\/s00429-022-02469-y","article-title":"Concurrent interactions between prefrontal cortex and hippocampus during a spatial working memory task","volume":"227","author":"W Zhang","year":"2022","journal-title":"Brain Struct Funct"},{"key":"pone.0326449.ref037","doi-asserted-by":"crossref","first-page":"585","DOI":"10.3389\/fnins.2019.00585","article-title":"Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review","volume":"13","author":"FV Farahani","year":"2019","journal-title":"Front Neurosci"},{"issue":"9","key":"pone.0326449.ref038","doi-asserted-by":"crossref","DOI":"10.1016\/j.cub.2022.03.074","article-title":"Orbitofrontal cortex governs working memory for temporal order","volume":"32","author":"EL Johnson","year":"2022","journal-title":"Curr Biol"},{"issue":"1","key":"pone.0326449.ref039","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1038\/s41467-021-21151-1","article-title":"Frontotemporal coordination predicts working memory performance and its local neural signatures","volume":"12","author":"E Rezayat","year":"2021","journal-title":"Nat Commun"},{"issue":"4","key":"pone.0326449.ref040","doi-asserted-by":"crossref","first-page":"844","DOI":"10.1007\/s00415-019-09204-4","article-title":"Transient seizure onset network for localization of epileptogenic zone: effective connectivity and graph theory-based analyses of ECoG data in temporal lobe epilepsy","volume":"266","author":"Y Ren","year":"2019","journal-title":"J Neurol"},{"issue":"5","key":"pone.0326449.ref041","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/s11517-011-0739-x","article-title":"Review of the methods of determination of directed connectivity from multichannel data","volume":"49","author":"KJ Blinowska","year":"2011","journal-title":"Med Biol Eng Comput"},{"key":"pone.0326449.ref042","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1016\/j.neuropsychologia.2015.07.024","article-title":"Corresponding ECoG and fMRI category-selective signals in human ventral temporal cortex","volume":"83","author":"C Jacques","year":"2016","journal-title":"Neuropsychologia"},{"key":"pone.0326449.ref043","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.brainres.2012.09.014","article-title":"Graph theoretical analysis of EEG functional connectivity during music perception","volume":"1483","author":"J Wu","year":"2012","journal-title":"Brain Res"},{"issue":"2","key":"pone.0326449.ref044","doi-asserted-by":"crossref","first-page":"111","DOI":"10.31887\/DCNS.2018.20.2\/osporns","article-title":"Graph theory methods: applications in brain networks","volume":"20","author":"O Sporns","year":"2018","journal-title":"Dialogues Clin Neurosci"},{"issue":"3","key":"pone.0326449.ref045","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: graph theoretical analysis of structural and functional systems","volume":"10","author":"E Bullmore","year":"2009","journal-title":"Nat Rev Neurosci"},{"issue":"10","key":"pone.0326449.ref046","doi-asserted-by":"crossref","first-page":"1093","DOI":"10.1038\/s41567-021-01371-4","article-title":"The physics of higher-order interactions in complex systems","volume":"17","author":"F Battiston","year":"2021","journal-title":"Nat Phys"},{"issue":"9","key":"pone.0326449.ref047","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1162\/jocn_a_01715","article-title":"Prefrontal Lesions Disrupt Posterior Alpha-Gamma Coordination of Visual Working Memory Representations","volume":"33","author":"S Davoudi","year":"2021","journal-title":"J Cogn Neurosci"},{"issue":"3","key":"pone.0326449.ref048","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: Uses and interpretations","volume":"52","author":"M Rubinov","year":"2010","journal-title":"NeuroImage"},{"key":"pone.0326449.ref049","doi-asserted-by":"crossref","unstructured":"Naghmeh S, Ashtiani M, Reza M, Behnam H. Biomedical signal processing and control altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory. 2018;40:385\u201395.","DOI":"10.1016\/j.bspc.2017.10.006"},{"key":"pone.0326449.ref050","doi-asserted-by":"crossref","first-page":"441","DOI":"10.3389\/fnins.2017.00441","article-title":"Graph Analysis and Modularity of Brain Functional Connectivity Networks: Searching for the Optimal Threshold","volume":"11","author":"C Bordier","year":"2017","journal-title":"Front Neurosci"},{"key":"pone.0326449.ref051","volume-title":"Analyzing neural time series data: theory and practice","author":"MX Cohen","year":"2016"},{"key":"pone.0326449.ref052","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.neuroimage.2013.12.008","article-title":"Working memory performance of early MS patients correlates inversely with modularity increases in resting state functional connectivity networks","volume":"94","author":"OL Gamboa","year":"2014","journal-title":"Neuroimage"},{"key":"pone.0326449.ref053","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.neuroimage.2014.11.021","article-title":"Sparse network-based models for patient classification using fMRI","volume":"105","author":"MJ Rosa","year":"2015","journal-title":"Neuroimage"},{"key":"pone.0326449.ref054","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/j.bspc.2017.10.006","article-title":"Altered topological properties of brain networks in the early MS patients revealed by cognitive task-related fMRI and graph theory","volume":"40","author":"SN Miri Ashtiani","year":"2018","journal-title":"Biomedical Signal Processing and Control"},{"issue":"1","key":"pone.0326449.ref055","doi-asserted-by":"crossref","first-page":"18659","DOI":"10.1038\/s41598-022-22079-2","article-title":"The thresholding problem and variability in the EEG graph network parameters","volume":"12","author":"T Adamovich","year":"2022","journal-title":"Sci Rep"},{"issue":"8","key":"pone.0326449.ref056","article-title":"BRAPH: A graph theory software for the analysis of brain connectivity","volume":"12","author":"Alzheimer\u2019s Disease Neuroimaging Initiative","year":"2017","journal-title":"PLoS One"},{"key":"pone.0326449.ref057","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.eplepsyres.2016.10.021","article-title":"Localization of epileptogenic zone based on graph analysis of stereo-EEG","volume":"128","author":"Y-H Li","year":"2016","journal-title":"Epilepsy Res"},{"issue":"2","key":"pone.0326449.ref058","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1016\/j.neuroimage.2010.11.030","article-title":"Statistical parametric network analysis of functional connectivity dynamics during a working memory task","volume":"55","author":"CE Ginestet","year":"2011","journal-title":"Neuroimage"},{"key":"pone.0326449.ref059","doi-asserted-by":"crossref","DOI":"10.3389\/fninf.2018.00007","article-title":"Clustering Coefficients for Correlation Networks","volume":"12","author":"N Masuda","year":"2018","journal-title":"Front Neuroinform"},{"key":"pone.0326449.ref060","author":"AR Anggraini","year":"2019","journal-title":"Analyzing Neural Time Series Data_ Theory and Practice, vol. 53. no. 9"},{"issue":"10","key":"pone.0326449.ref061","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1016\/j.seizure.2014.07.004","article-title":"Clinical correlates of graph theory findings in temporal lobe epilepsy","volume":"23","author":"Z Haneef","year":"2014","journal-title":"Seizure"},{"issue":"3","key":"pone.0326449.ref062","doi-asserted-by":"crossref","first-page":"724","DOI":"10.1109\/TCSS.2021.3070321","article-title":"Structural Hole Theory in Social Network Analysis: A Review","volume":"9","author":"Z Lin","year":"2022","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"pone.0326449.ref063","doi-asserted-by":"crossref","first-page":"648","DOI":"10.3389\/fnins.2019.00648","article-title":"Eigenvector Centrality Dynamics From Resting-State fMRI: Gender and Age Differences in Healthy Subjects","volume":"13","author":"AM Wink","year":"2019","journal-title":"Front Neurosci"},{"key":"pone.0326449.ref064","volume-title":"Fundamentals of brain network analysis Zalesky","author":"ET Bullmore","year":"2016"},{"key":"pone.0326449.ref065","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1016\/j.neunet.2021.09.018","article-title":"Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research","volume":"144","author":"T Macpherson","year":"2021","journal-title":"Neural Netw"},{"key":"pone.0326449.ref066","doi-asserted-by":"crossref","first-page":"20","DOI":"10.17148\/IARJSET.2015.2305","article-title":"Normalization: A Preprocessing Stage","author":"SGK Patro","year":"2015","journal-title":"International Advanced Research Journal in Science, Engineering and Technology"},{"key":"pone.0326449.ref067","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/B978-1-55860-247-2.50037-1","article-title":"A Practical Approach to Feature Selection","volume-title":"Machine Learning Proceedings 1992","author":"K Kira","year":"1992"},{"issue":"11","key":"pone.0326449.ref068","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0224365","article-title":"Machine learning algorithm validation with a limited sample size","volume":"14","author":"A Vabalas","year":"2019","journal-title":"PLoS One"},{"issue":"7","key":"pone.0326449.ref069","first-page":"2342","article-title":"A stacked ensemble learning method for customer lifetime value prediction","volume":"53","author":"N Asadi Ejgerdi","year":"2023","journal-title":"K"},{"issue":"12","key":"pone.0326449.ref070","doi-asserted-by":"crossref","first-page":"1565","DOI":"10.1038\/nbt1206-1565","article-title":"What is a support vector machine?","volume":"24","author":"WS Noble","year":"2006","journal-title":"Nat Biotechnol"},{"key":"pone.0326449.ref071","first-page":"1","article-title":"Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules","volume":"4","author":"MP Fay","year":"2010","journal-title":"Stat Surv"},{"issue":"2","key":"pone.0326449.ref072","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1212\/WNL.0b013e31827b90d1","article-title":"Naturally occurring \u03b1-synuclein autoantibody levels are lower in patients with Parkinson disease","volume":"80","author":"D Besong-Agbo","year":"2013","journal-title":"Neurology"},{"key":"pone.0326449.ref073","doi-asserted-by":"crossref","first-page":"230","DOI":"10.3389\/fnins.2020.00230","article-title":"Decoding Adaptive Visuomotor Behavior Mediated by Non-linear Phase Coupling in Macaque Area MT","volume":"14","author":"MB Khamechian","year":"2020","journal-title":"Front Neurosci"},{"key":"pone.0326449.ref074","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/B978-0-12-817756-3.00006-6","article-title":"Calculating and visualizing network 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Neurosci"},{"issue":"10","key":"pone.0326449.ref078","doi-asserted-by":"crossref","first-page":"113169","DOI":"10.1016\/j.celrep.2023.113169","article-title":"Mapping information flow between the inferotemporal and prefrontal cortices via neural oscillations in memory retrieval and maintenance","volume":"42","author":"T Zhou","year":"2023","journal-title":"Cell Reports"},{"issue":"2","key":"pone.0326449.ref079","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.neulet.2003.10.002","article-title":"Theta coupling in the human electroencephalogram during a working memory task","volume":"354","author":"P Sauseng","year":"2004","journal-title":"Neurosci Lett"},{"issue":"4","key":"pone.0326449.ref080","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1093\/cercor\/bhq153","article-title":"Orbitofrontal Contributions to Human Working Memory","volume":"21","author":"AK Barbey","year":"2010","journal-title":"Cerebral 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