Spectral Mapping Model for Cognitive State Prediction through Acoustic Loop-Induced Brainwave Analysis

Spectral Mapping Model for Cognitive State Prediction through Acoustic Loop-Induced Brainwave Analysis | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Spectral Mapping Model for Cognitive State Prediction through Acoustic Loop-Induced Brainwave Analysis Shahzad Aasim Shahzad Aasim, Muheet Butt Muheet Butt, Sanjeev Rana Sanjeev Rana, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7128386/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The Spectral Mapping (SM) Model is an AI-driven and symbolically interpretable framework for predicting cognitive states based on electroencephalogram (EEG) responses to structured acoustic loop interventions. This SM Model is different from conventional EEG-based systems those which rely on raw signal streams and obscure neural networks since it uses symbolic representations of dominant brainwave frequencies (alpha, beta, theta, delta and gamma) across four critical brain lobes, frontal, parietal, occipital, and temporal, under three types of auditory stimulus: Pluck, Bow, and Hybrid loops. With its three interrelated cognitive dimensions, the model has achieved high accuracy and interpretability via ensemble and neural classifiers. These are Result (Active、 Semi-Active、Inactive), State (Focused, Semi Focused, Not Focused) and Mode (Adaptive or Non-Adaptive). It is trained on a dataset which is in accord with neuro-acoustic therapeutic protocols. By contrast, the prevailing assumption that leisure experiences (such as music or sightseeing) can also be clinical therapy is challenged by the SM Model. According to this perspective, such stimuli merely bring about temporary states of cognitive synchronization, i.e., transient brainwave coherence between hemispheres. It only seems to be health rather than the real thing. The SM Model、 in contrast tries to extend this “ordered brain state”, providing an intellectual path toward lasting cognitive paradise. Thus, this philosophic shift does not see music as a therapeutic agent, but as generating a brief neural equilibrium; thus, the role of neuro-acoustic stimulation in mental health is re-defined as well. This SM Model provides a foundation structure for scaling, explainable, non-invasive cognitive monitoring tools that can be deployed in the home, classroom or clinic, opening up a new area in which future generations of AI-powered neurotherapists will work and find their calling Biological sciences/Neuroscience Biological sciences/Psychology Social science/Psychology Spectral Mapping Model Symbolic EEG Analysis Cognitive State Prediction Neuro-Acoustic Interventions Attention Monitoring Acoustic Loop Therapy AI in Mental Health Brainwave Synchronization Personalized Music Therapy Non-Invasive Cognitive Assessment Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7128386","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":507621126,"identity":"0853b90f-7b2b-4325-a72e-2f76c2b16ba3","order_by":0,"name":"Shahzad Aasim Shahzad Aasim","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA3klEQVRIie3QPQrCMBTA8VeEdql2bfASTwoFoeBV6lLHOomDQ1ycAq56DsG58KAuka6OihewdKm42IqDiMS6OeQPISHwIx8AOt0/Rs/ZsV82k+8kBGCiMUmeBGXTe3V27dPxWgaxJ+lcTGcQO05i0FhBGFleT4RRf7tf+Eym0F+vQqCVgiCZZhdCQj8D35hzQDxUD7TVxLrVxFtaRV6TQZZ8JWarJtgWyB6nVJ+hJIzMFhNRhK6UE8ZTF93DkCtJJ0uNSxkE6IjRJuezarEkKlTkPbcaBv8B6HQ6ne5Td5ZaR9L+j7j6AAAAAElFTkSuQmCC","orcid":"","institution":"Kashmir advanced Scientific research Centre KASRC Cluster University srinagar Jammu and Kashmir IndiaCognitive Musicology/Neuro Acoustics","correspondingAuthor":true,"prefix":"","firstName":"Shahzad","middleName":"Aasim Shahzad","lastName":"Aasim","suffix":""},{"id":507621127,"identity":"9f997fed-bd01-44c4-bb14-be8212b7819d","order_by":1,"name":"Muheet Butt Muheet Butt","email":"","orcid":"","institution":"Data Scientist \u0026 QA Caps Technologies","correspondingAuthor":false,"prefix":"","firstName":"Muheet","middleName":"Butt Muheet","lastName":"Butt","suffix":""},{"id":507621128,"identity":"97b00071-d2a2-4db3-b5de-51821205d325","order_by":2,"name":"Sanjeev Rana Sanjeev Rana","email":"","orcid":"","institution":"Shri Mata Vaishno Devi University","correspondingAuthor":false,"prefix":"","firstName":"Sanjeev","middleName":"Rana Sanjeev","lastName":"Rana","suffix":""},{"id":507621129,"identity":"c685f15d-f819-4eda-a606-8e6bc7e54be9","order_by":3,"name":"Rakesh Banal Rakesh Banal","email":"","orcid":"","institution":"Government Medical College and Hospital","correspondingAuthor":false,"prefix":"","firstName":"Rakesh","middleName":"Banal Rakesh","lastName":"Banal","suffix":""}],"badges":[],"createdAt":"2025-07-15 08:53:22","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7128386/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7128386/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":98625062,"identity":"887f37d2-5b5a-4622-b345-df8e56d47dbb","added_by":"auto","created_at":"2025-12-19 17:08:54","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":548560,"visible":true,"origin":"","legend":"","description":"","filename":"SpectralMappingModelforCognitiveStatePredictionthroughAcousticLoop.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7128386/v1_covered_29927442-80c2-4fa4-b246-c70bd9b52553.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Spectral Mapping Model for Cognitive State Prediction through Acoustic Loop-Induced Brainwave Analysis","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Spectral Mapping Model, Symbolic EEG Analysis, Cognitive State Prediction, Neuro-Acoustic Interventions, Attention Monitoring, Acoustic Loop Therapy, AI in Mental Health, Brainwave Synchronization, Personalized Music Therapy, Non-Invasive Cognitive Assessment","lastPublishedDoi":"10.21203/rs.3.rs-7128386/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7128386/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe Spectral Mapping (SM) Model is an AI-driven and symbolically interpretable framework for predicting cognitive states based on electroencephalogram (EEG) responses to structured acoustic loop interventions. This SM Model is different from conventional EEG-based systems those which rely on raw signal streams and obscure neural networks since it uses symbolic representations of dominant brainwave frequencies (alpha, beta, theta, delta and gamma) across four critical brain lobes, frontal, parietal, occipital, and temporal, under three types of auditory stimulus: Pluck, Bow, and Hybrid loops.\u003c/p\u003e\u003cp\u003eWith its three interrelated cognitive dimensions, the model has achieved high accuracy and interpretability via ensemble and neural classifiers. These are Result (Active、 Semi-Active、Inactive), State (Focused, Semi Focused, Not Focused) and Mode (Adaptive or Non-Adaptive). It is trained on a dataset which is in accord with neuro-acoustic therapeutic protocols.\u003c/p\u003e\u003cp\u003eBy contrast, the prevailing assumption that leisure experiences (such as music or sightseeing) can also be clinical therapy is challenged by the SM Model. According to this perspective, such stimuli merely bring about temporary states of cognitive synchronization, i.e., transient brainwave coherence between hemispheres. It only seems to be health rather than the real thing. The SM Model、 in contrast tries to extend this \u0026ldquo;ordered brain state\u0026rdquo;, providing an intellectual path toward lasting cognitive paradise.\u003c/p\u003e\u003cp\u003eThus, this philosophic shift does not see music as a therapeutic agent, but as generating a brief neural equilibrium; thus, the role of neuro-acoustic stimulation in mental health is re-defined as well. 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