© IJPMN, Volume 7, Issue 3, December-2020 (This is an open-access article di Commons Attribution License citing Developing an A Depression by In Patterns in Depre Neu School of C Abstract—One of the most common mood diso Disorder. According to Diagnostic and Statistical in life, fatigue, a persistent feeling of sadness, wei than two weeks then with the help of clinical asse Major Depressive Disorder is around 17% and committing suicide, and utilization healthcare [1]. to clinical practitioners for application of criteria the first line of anti-depressants after a diagnosis o [4]. Continued drug trials are required for mont extent. Moreover, recent studies suggest cognitiv function and working memory, task planning an perception in depressed people versus euthymic s deviate from typical word usage. [6] Distinct lin marker which can further be validated by usin algorithms can acquire neuroimaging data to disti depressed brains and predict outcomes efficiently Index Terms—Depression, Speech Perception, (key words) INTRODUCTION Depression affects more than 300 m worldwide, as per World Health Organization da apparently normal functioning person may als depression silently which makes this disorder h and understand. Constant low mood often ac physical symptoms such as weight gain or loss, i relations are salient features of Major Depre (MDD). Globally, MDD is the cause of mor suicides annually and the most vulnerable age gr 15-29 years, according to 2015 statistics. Arou depressed patients suffer from non-responsive treatment and life time prevalence rate for 16.2%. Presently, the MDD diagnosis depend behavioral assessment based on personal reporti to self-reporting, which might often be b International Journal Of Public Mental Hea (An Official publication of Sarvasu istributed under the terms and condition g the original author and source) Assessment Tool to Dia nvestigating Speech Perc essed Patients with The H uro-Imaging (EEG) Sarah Ahamed Cognitive Science, Department of Philosophy Jadavpur University Kolkata 700032, India sarahahamed93@gmail.com orders is Depression which is also called as Clinical Depres Manual - V, depression can have mainly five symptoms whi ight loss or weight gain and recurrent suicide ideation. If th essment, depression is diagnosed by a clinical practioner. T has notable impact on overall quality of life, comorbid . DSM (Diagnostic Statistical Manual of Mental Disorders - to diagnose MDD (Major Depressive Disorder). Hit and Tr of MDD. Initial Pharmacotherapeutic intervention works on ths to the non-responding patients which may delay the re ve deficits in depressed patients like attention level defici nd problem solving. [3]. This paper aims to explore the c state in the normal population, as clinically depressed peop nguistic patterns in depressed people can point towards de ng Electroencephalography (EEG) Neuroimaging Techniqu inguish the intensity of depression in the brain images of m [5]. Neurolinguistics, Neuroimaging, EEG, Neuroscience, Cogn million people ata of 2017. An so suffer from harder to detect ccompanied by impaired social essive Disorder re than 80,000 roup is between und 30% of the anti-depressant them is about ds on patient’s ing. In contrast biased, distinct behavioral patterns especially in speec to detect depression in the behavio ongoing researches are aiming to neurobiological markers which might disorder with accuracy and ease. An studies, especially EEG studies are gai non-invasive and repeatable with z patient’s health. EEG provides prec evidence that might help in individu interventions. With the help of machin data mining might help to develo biomarkers for depression that mi paradigm shift from DSM-V behav evidence backed diagnosis of the disea alth And Neurosciences ISSN: 2394-4668 umana Association) ns of the Creative 37 agnose ception Help of ssion or Major Depressive ich include lack of interest he symptoms persist more The lifetime prevalence of health conditions, risk of V) provides the guidelines ial Method is applied with nly for 50% of the patients ecovery process to a great its, problems in executive cognitive aspect of speech ple have been reported to evising a novel diagnostic ues [2]. Machine learning ildly depressed vs majorly nition, Machine Learning. ch perception might help oral plane. Furthermore, o pinpoint the precise t help in diagnosing this nd for that Neuroimaging ining popularity for being zero side effects on the cise clinically significant ualization of therapeutic ne learning, neuroimaging op potential (Linguistic) ight help to make the vioral assessment to an ase.