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Published in: Cognitive Neurodynamics 6/2022

07-03-2022 | Research Article

Extraction of discriminative features from EEG signals of dyslexic children; before and after the treatment

Authors: Anahita Oliaee, Maryam Mohebbi, Sepehr Shirani, Reza Rostami

Published in: Cognitive Neurodynamics | Issue 6/2022

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Abstract

Dyslexia is a neurological disorder manifested as difficulty reading and writing. It can occur despite adequate instruction, intelligence, and intact sensory abilities. Different electroencephalogram (EEG) patterns have been demonstrated between dyslexic and healthy subjects in previous studies. This study focuses on the difference between patients before and after treatment. The main goal is to identify the subset of features that adequately discriminate subjects before and after a specific treatment plan. The treatment consists of Transcranial Direct Current Stimulation (tDCS) and occupational therapy using the BrainWare SAFARI software. The EEG signals of sixteen dyslexic children were recorded during the eyes-closed resting state before and after treatment. The preprocessing step was followed by the extraction of a wide range of features to investigate the differences related to the treatment. An optimal subset of features extracted from recorded EEG signals was determined using Principal Component Analysis (PCA) in conjunction with the Sequential Floating Forward Selection (SFFS) algorithm. The results showed that treatment leads to significant changes in EEG features like spectral and phase-related EEG features, in various regions. It has been demonstrated that the extracted subset of discriminative features can be useful for classification applications in treatment assessment. The most discriminative subset of features could classify the data with an accuracy of 92% with SVM classifier. The above result confirms the efficacy of the treatment plans in improving dyslexic children's cognitive skills.

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Literature
go back to reference Aftanas L, Golocheikine S (2001) Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci Lett 310:57–60PubMedCrossRef Aftanas L, Golocheikine S (2001) Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: high-resolution EEG investigation of meditation. Neurosci Lett 310:57–60PubMedCrossRef
go back to reference Bosch-Bayard J, Girini K, Biscay RJ, Valdes-Sosa P, Evans AC, Chiarenza GA (2020) Resting EEG effective connectivity at the sources in developmental dysphonetic dyslexia. Differences with non-specific reading delay. Int J Psychophysiol 153:135–147PubMedCrossRef Bosch-Bayard J, Girini K, Biscay RJ, Valdes-Sosa P, Evans AC, Chiarenza GA (2020) Resting EEG effective connectivity at the sources in developmental dysphonetic dyslexia. Differences with non-specific reading delay. Int J Psychophysiol 153:135–147PubMedCrossRef
go back to reference Bruce EN, Bruce MC, Vennelaganti S (2009) Sample entropy tracks changes in EEG power spectrum with sleep state and aging. J Clin Neurophysiol off Publ Am Electroencephalogr Soc 26:257 Bruce EN, Bruce MC, Vennelaganti S (2009) Sample entropy tracks changes in EEG power spectrum with sleep state and aging. J Clin Neurophysiol off Publ Am Electroencephalogr Soc 26:257
go back to reference Cao F et al (2017) Neural signatures of phonological deficits in Chinese developmental dyslexia. Neuroimage 146:301–311PubMedCrossRef Cao F et al (2017) Neural signatures of phonological deficits in Chinese developmental dyslexia. Neuroimage 146:301–311PubMedCrossRef
go back to reference Chiarenza GA (2021) Quantitative EEG in childhood attention deficit hyperactivity disorder and learning disabilities. Clin EEG Neurosci 52(2):144–155PubMedCrossRef Chiarenza GA (2021) Quantitative EEG in childhood attention deficit hyperactivity disorder and learning disabilities. Clin EEG Neurosci 52(2):144–155PubMedCrossRef
go back to reference Christoforou C, Fella A, Leppänen PHT, Georgiou GK, Papadopoulos TC (2021) Fixation-related potentials in naming speed: a combined EEG and eye-tracking study on children with dyslexia. Clin Neurophysiol 132(11):2798–2807PubMedCrossRef Christoforou C, Fella A, Leppänen PHT, Georgiou GK, Papadopoulos TC (2021) Fixation-related potentials in naming speed: a combined EEG and eye-tracking study on children with dyslexia. Clin Neurophysiol 132(11):2798–2807PubMedCrossRef
go back to reference Coch D (2021) Uncoupled brain and behavior changes in lexical, phonological, and memory processing in struggling readers. Develop Neuropsychol 46(1):33–53CrossRef Coch D (2021) Uncoupled brain and behavior changes in lexical, phonological, and memory processing in struggling readers. Develop Neuropsychol 46(1):33–53CrossRef
go back to reference Comon P (1994) Independent component analysis, a new concept? Signal Process 36:287–314CrossRef Comon P (1994) Independent component analysis, a new concept? Signal Process 36:287–314CrossRef
go back to reference Conant LL, Liebenthal E, Desai A, Seidenberg MS, Binder JR (2020) Differential activation of the visual word form area during auditory phoneme perception in youth with dyslexia. Neuropsychologia 146:107543PubMedPubMedCentralCrossRef Conant LL, Liebenthal E, Desai A, Seidenberg MS, Binder JR (2020) Differential activation of the visual word form area during auditory phoneme perception in youth with dyslexia. Neuropsychologia 146:107543PubMedPubMedCentralCrossRef
go back to reference Costanzo F et al (2016a) Evidence for reading improvement following tDCS treatment in children and adolescents with dyslexia. Restor Neurol Neurosci 34:215–226PubMed Costanzo F et al (2016a) Evidence for reading improvement following tDCS treatment in children and adolescents with dyslexia. Restor Neurol Neurosci 34:215–226PubMed
go back to reference Costanzo F et al (2016b) Reading changes in children and adolescents with dyslexia after transcranial direct current stimulation. NeuroReport 27:295–300PubMedCrossRef Costanzo F et al (2016b) Reading changes in children and adolescents with dyslexia after transcranial direct current stimulation. NeuroReport 27:295–300PubMedCrossRef
go back to reference Costanzo F et al (2019) Long-lasting improvement following tDCS treatment combined with a training for reading in children and adolescents with dyslexia. Neuropsychologia 130:38–43PubMedCrossRef Costanzo F et al (2019) Long-lasting improvement following tDCS treatment combined with a training for reading in children and adolescents with dyslexia. Neuropsychologia 130:38–43PubMedCrossRef
go back to reference Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134:9–21PubMedCrossRef Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134:9–21PubMedCrossRef
go back to reference Eckert MA, Leonard CM, Wilke M, Eckert M, Richards T, Richards A, Berninger V (2005) Anatomical signatures of dyslexia in children: unique information from manual and voxel based morphometry brain measures. Cortex 41:304–315PubMedCrossRef Eckert MA, Leonard CM, Wilke M, Eckert M, Richards T, Richards A, Berninger V (2005) Anatomical signatures of dyslexia in children: unique information from manual and voxel based morphometry brain measures. Cortex 41:304–315PubMedCrossRef
go back to reference Erdogdu E, Kurt E, Duru AD, Uslu A, Başar-Eroğlu C, Demiralp T (2019) Measurement of cognitive dynamics during video watching through event-related potentials (ERPs) and oscillations (EROs). Cogn Neurodyn 13(6):503–512PubMedPubMedCentralCrossRef Erdogdu E, Kurt E, Duru AD, Uslu A, Başar-Eroğlu C, Demiralp T (2019) Measurement of cognitive dynamics during video watching through event-related potentials (ERPs) and oscillations (EROs). Cogn Neurodyn 13(6):503–512PubMedPubMedCentralCrossRef
go back to reference Eroğlu G, Aydın S, Çetin M, Balcisoy S (2018) Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. In: Proceedings of the 2018 26th signal processing and communications applications conference (SIU), pp 1–4. Eroğlu G, Aydın S, Çetin M, Balcisoy S (2018) Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. In: Proceedings of the 2018 26th signal processing and communications applications conference (SIU), pp 1–4.
go back to reference Eroğlu G, Gürkan M, Teber S, Ertürk K, Kırmızı M, Ekici B, Arman F, Balcisoy S, Özgüz V, Çetin M (2020) Changes in EEG complexity with neurofeedback and multi-sensory learning in children with dyslexia: a multiscale entropy analysis. Appl Neuropsychol Child, pp 1–12. Eroğlu G, Gürkan M, Teber S, Ertürk K, Kırmızı M, Ekici B, Arman F, Balcisoy S, Özgüz V, Çetin M (2020) Changes in EEG complexity with neurofeedback and multi-sensory learning in children with dyslexia: a multiscale entropy analysis. Appl Neuropsychol Child, pp 1–12.
go back to reference Fraga González G, Smit DJA, Van Der Molen MJW, Tijms J, Stam CJ, De Geus EJC, Van Der Molen MW (2018) EEG resting state functional connectivity in adult dyslexics using phase lag index and graph analysis. Front Hum Neurosci 12:341PubMedPubMedCentralCrossRef Fraga González G, Smit DJA, Van Der Molen MJW, Tijms J, Stam CJ, De Geus EJC, Van Der Molen MW (2018) EEG resting state functional connectivity in adult dyslexics using phase lag index and graph analysis. Front Hum Neurosci 12:341PubMedPubMedCentralCrossRef
go back to reference Fritsch B et al (2010) Direct current stimulation promotes BDNF-dependent synaptic plasticity: potential implications for motor learning. Neuron 66:198–204PubMedPubMedCentralCrossRef Fritsch B et al (2010) Direct current stimulation promotes BDNF-dependent synaptic plasticity: potential implications for motor learning. Neuron 66:198–204PubMedPubMedCentralCrossRef
go back to reference Gialluisi A, Andlauer TFM, Mirza-Schreiber N, Moll K, Becker J, Hoffmann P, Ludwig KU et al (2021) Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Mol Psych 26(7):3004–3017CrossRef Gialluisi A, Andlauer TFM, Mirza-Schreiber N, Moll K, Becker J, Hoffmann P, Ludwig KU et al (2021) Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia. Mol Psych 26(7):3004–3017CrossRef
go back to reference Hlinka J et al (2010) Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis. Neuroimage 53:239–246PubMedCrossRef Hlinka J et al (2010) Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis. Neuroimage 53:239–246PubMedCrossRef
go back to reference Jobard G et al (2007) Impact of modality and linguistic complexity during reading and listening tasks. Neuroimage 34:784–800PubMedCrossRef Jobard G et al (2007) Impact of modality and linguistic complexity during reading and listening tasks. Neuroimage 34:784–800PubMedCrossRef
go back to reference Jobert M et al (1994) A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI). Sleep 17:37–46PubMed Jobert M et al (1994) A computerized method for detecting episodes of wakefulness during sleep based on the alpha slow-wave index (ASI). Sleep 17:37–46PubMed
go back to reference Jolliffe IT, Cadima J (2016) Principal component analysis: a review and recent developments. Philos Trans Roy Soc A Math Phys Eng Sci 374:20150202CrossRef Jolliffe IT, Cadima J (2016) Principal component analysis: a review and recent developments. Philos Trans Roy Soc A Math Phys Eng Sci 374:20150202CrossRef
go back to reference Khalighi S et al (2013) Automatic sleep staging: a computer assisted approach for optimal combination of features and polysomnographic channels. Exp Syst Appl 40:7046–7059CrossRef Khalighi S et al (2013) Automatic sleep staging: a computer assisted approach for optimal combination of features and polysomnographic channels. Exp Syst Appl 40:7046–7059CrossRef
go back to reference Klimesch W (1999) EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev 23:169–195CrossRef Klimesch W (1999) EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev 23:169–195CrossRef
go back to reference Kline P, Meyer-Brown N (XXXX) BrainWare® Safari: cognitive skills development and learning to read. [Online] Kline P, Meyer-Brown N (XXXX) BrainWare® Safari: cognitive skills development and learning to read. [Online]
go back to reference Kronbichler M, Wimmer H, Staffen W, Hutzler F, Mair A, Ladurner G (2008) Developmental dyslexia: gray matter abnormalities in the occipitotemporal cortex. Hum Brain Map 29(5):613–625CrossRef Kronbichler M, Wimmer H, Staffen W, Hutzler F, Mair A, Ladurner G (2008) Developmental dyslexia: gray matter abnormalities in the occipitotemporal cortex. Hum Brain Map 29(5):613–625CrossRef
go back to reference Lang N et al (2011) Transcranial direct current stimulation effects on I-wave activity in humans. J Neurophysiol 105:2802–2810PubMedCrossRef Lang N et al (2011) Transcranial direct current stimulation effects on I-wave activity in humans. J Neurophysiol 105:2802–2810PubMedCrossRef
go back to reference Lizarazu M, di Covella LS, van Wassenhove V, Rivière D, Mizzi R, Lehongre K, Hertz-Pannier L, Ramus F (2021) Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex 137:160–178PubMedCrossRef Lizarazu M, di Covella LS, van Wassenhove V, Rivière D, Mizzi R, Lehongre K, Hertz-Pannier L, Ramus F (2021) Neural entrainment to speech and nonspeech in dyslexia: conceptual replication and extension of previous investigations. Cortex 137:160–178PubMedCrossRef
go back to reference Martínez-Briones BJ, Fernández-Harmony T, Gómez NG, Biscay-Lirio RJ, Bosch-Bayard J (2020) Working memory in children with learning disorders: an EEG power spectrum analysis. Brain Sci 10(11):817PubMedCentralCrossRef Martínez-Briones BJ, Fernández-Harmony T, Gómez NG, Biscay-Lirio RJ, Bosch-Bayard J (2020) Working memory in children with learning disorders: an EEG power spectrum analysis. Brain Sci 10(11):817PubMedCentralCrossRef
go back to reference Mascheretti S, Peruzzo D, Andreola C, Villa M, Ciceri T, Trezzi V, Marino C, Arrigoni F (2021) Selecting the most relevant brain regions to classify children with developmental dyslexia and typical readers by using complex magnocellular stimuli and multiple kernel learning. Brain Sci 11(6):722PubMedPubMedCentralCrossRef Mascheretti S, Peruzzo D, Andreola C, Villa M, Ciceri T, Trezzi V, Marino C, Arrigoni F (2021) Selecting the most relevant brain regions to classify children with developmental dyslexia and typical readers by using complex magnocellular stimuli and multiple kernel learning. Brain Sci 11(6):722PubMedPubMedCentralCrossRef
go back to reference Massey FJ (1951) The Kolmogorov-Smirnov test for goodness of fit. J Am Stat Assoc 46:68–78CrossRef Massey FJ (1951) The Kolmogorov-Smirnov test for goodness of fit. J Am Stat Assoc 46:68–78CrossRef
go back to reference Medina GBK, Guimarães SRK (2021) Reading in developmental dyslexia: the role of phonemic awareness and executive functions. Estudos de Psicol (Campinas) 38. Medina GBK, Guimarães SRK (2021) Reading in developmental dyslexia: the role of phonemic awareness and executive functions. Estudos de Psicol (Campinas) 38.
go back to reference Meinzer M et al (2014) Transcranial direct current stimulation over multiple days improves learning and maintenance of a novel vocabulary. Cortex 50:137–147PubMedCrossRef Meinzer M et al (2014) Transcranial direct current stimulation over multiple days improves learning and maintenance of a novel vocabulary. Cortex 50:137–147PubMedCrossRef
go back to reference Morya E, Monte-Silva K, Bikson M, Esmaeilpour Z, Biazoli CE, Fonseca A, Bocci T et al (2019) Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes. J Neuroeng Rehabil 16(1):1–29CrossRef Morya E, Monte-Silva K, Bikson M, Esmaeilpour Z, Biazoli CE, Fonseca A, Bocci T et al (2019) Beyond the target area: an integrative view of tDCS-induced motor cortex modulation in patients and athletes. J Neuroeng Rehabil 16(1):1–29CrossRef
go back to reference Müller-Axt C, Anwander A, von Kriegstein K (2017) Altered structural connectivity of the left visual thalamus in developmental dyslexia. Curr Biol 27:3692–3698PubMedCrossRef Müller-Axt C, Anwander A, von Kriegstein K (2017) Altered structural connectivity of the left visual thalamus in developmental dyslexia. Curr Biol 27:3692–3698PubMedCrossRef
go back to reference Ortiz A, Martinez-Murcia FJ, Luque JL, Giménez A, Morales-Ortega R, Ortega J (2020) Dyslexia diagnosis by eeg temporal and spectral descriptors: an anomaly detection approach. Int J Neural Syst 30:2050029PubMedCrossRef Ortiz A, Martinez-Murcia FJ, Luque JL, Giménez A, Morales-Ortega R, Ortega J (2020) Dyslexia diagnosis by eeg temporal and spectral descriptors: an anomaly detection approach. Int J Neural Syst 30:2050029PubMedCrossRef
go back to reference Ostertag C, Reynolds JE, Dewey D, Landman B, Huo Y, Lebel C (2021) Altered gray matter development in pre‐reading children with a family history of reading disorder. Develop Sci, p e13160. Ostertag C, Reynolds JE, Dewey D, Landman B, Huo Y, Lebel C (2021) Altered gray matter development in pre‐reading children with a family history of reading disorder. Develop Sci, p e13160.
go back to reference Paulesu E et al (1996) Is developmental dyslexia a disconnection syndrome? Evidence from PET scanning. Brain 119:143–157PubMedCrossRef Paulesu E et al (1996) Is developmental dyslexia a disconnection syndrome? Evidence from PET scanning. Brain 119:143–157PubMedCrossRef
go back to reference Paulesu E, Danelli L, Berlingeri M (2014) Reading the dyslexic brain: multiple dysfunctional routes revealed by a new meta-analysis of PET and fMRI activation studies. Front Hum Neurosci 8:830PubMedPubMedCentralCrossRef Paulesu E, Danelli L, Berlingeri M (2014) Reading the dyslexic brain: multiple dysfunctional routes revealed by a new meta-analysis of PET and fMRI activation studies. Front Hum Neurosci 8:830PubMedPubMedCentralCrossRef
go back to reference Penolazzi B, Spironelli C, Vio C, Angrilli A (2010) Brain plasticity in developmental dyslexia after phonological treatment: a beta EEG band study. Behav Brain Res 209(1):179–182PubMedCrossRef Penolazzi B, Spironelli C, Vio C, Angrilli A (2010) Brain plasticity in developmental dyslexia after phonological treatment: a beta EEG band study. Behav Brain Res 209(1):179–182PubMedCrossRef
go back to reference Pernet CR, Poline JB, Demonet JF, Rousselet GA (2009) Brain classification reveals the right cerebellum as the best biomarker of dyslexia. BMC Neurosci 10(1):1–19CrossRef Pernet CR, Poline JB, Demonet JF, Rousselet GA (2009) Brain classification reveals the right cerebellum as the best biomarker of dyslexia. BMC Neurosci 10(1):1–19CrossRef
go back to reference Peters L, de Beeck HO, De Smedt B (2020) Cognitive correlates of dyslexia, dyscalculia and comorbid dyslexia/dyscalculia: effects of numerical magnitude processing and phonological processing. Res Develop Disabil 107:103806CrossRef Peters L, de Beeck HO, De Smedt B (2020) Cognitive correlates of dyslexia, dyscalculia and comorbid dyslexia/dyscalculia: effects of numerical magnitude processing and phonological processing. Res Develop Disabil 107:103806CrossRef
go back to reference Phung DQ, et al (2014) Using shannon entropy as EEG signal feature for fast person identification. In: ESANN. Phung DQ, et al (2014) Using shannon entropy as EEG signal feature for fast person identification. In: ESANN.
go back to reference Pion-Tonachini L, Kreutz-Delgado K, Makeig S (2019) ICLabel: an automated electroencephalographic independent component classifier, dataset, and website. Neuroimage 198:181–197PubMedCrossRef Pion-Tonachini L, Kreutz-Delgado K, Makeig S (2019) ICLabel: an automated electroencephalographic independent component classifier, dataset, and website. Neuroimage 198:181–197PubMedCrossRef
go back to reference Pugh KR et al (2000) Functional neuroimaging studies of reading and reading disability (developmental dyslexia). Ment Retard Develop Disabil Res Rev 6:207–213CrossRef Pugh KR et al (2000) Functional neuroimaging studies of reading and reading disability (developmental dyslexia). Ment Retard Develop Disabil Res Rev 6:207–213CrossRef
go back to reference Pugh KR et al (2001) Neurobiological studies of reading and reading disability. J Commun Disord 34:479–492PubMedCrossRef Pugh KR et al (2001) Neurobiological studies of reading and reading disability. J Commun Disord 34:479–492PubMedCrossRef
go back to reference Rios DM, et al (2018) Impact of transcranial direct current stimulation on reading skills of children and adolescents with dyslexia. Child Neurol Open Rios DM, et al (2018) Impact of transcranial direct current stimulation on reading skills of children and adolescents with dyslexia. Child Neurol Open
go back to reference Seshadri NP, Geethanjali B, Singh BK (2022) EEG based functional brain networks analysis in dyslexic children during arithmetic task. Cognit Neurodyn 1–16. Seshadri NP, Geethanjali B, Singh BK (2022) EEG based functional brain networks analysis in dyslexic children during arithmetic task. Cognit Neurodyn 1–16.
go back to reference Shaywitz SE et al (2003) Neural systems for compensation and persistence: young adult outcome of childhood reading disability. Biol Psych 54:25–33CrossRef Shaywitz SE et al (2003) Neural systems for compensation and persistence: young adult outcome of childhood reading disability. Biol Psych 54:25–33CrossRef
go back to reference Sihvonen AJ, Virtala P, Thiede A, Laasonen M, Kujala T (2021) Structural white matter connectometry of reading and dyslexia. Neuroimage 241:118411PubMedCrossRef Sihvonen AJ, Virtala P, Thiede A, Laasonen M, Kujala T (2021) Structural white matter connectometry of reading and dyslexia. Neuroimage 241:118411PubMedCrossRef
go back to reference Snowling MJ, Hulme C, Nation K (2020) Defining and understanding dyslexia: past, present and future. Oxf Rev Edu 46(4):501–513CrossRef Snowling MJ, Hulme C, Nation K (2020) Defining and understanding dyslexia: past, present and future. Oxf Rev Edu 46(4):501–513CrossRef
go back to reference Stagg CJ, Nitsche MA (2011) Physiological basis of transcranial direct current stimulation. Neuroscientist 17:37–53PubMedCrossRef Stagg CJ, Nitsche MA (2011) Physiological basis of transcranial direct current stimulation. Neuroscientist 17:37–53PubMedCrossRef
go back to reference Stankova EP, Galperina EI, Kruchinina OV, Kornev AN (2019) EEG resting state functional connectivity in 9–13 year-old dyslexics. In: The night whites language workshop: the fifth saint petersburg winter workshop on experimental studies of speech and language (Night Whites 2019), p. 96. Stankova EP, Galperina EI, Kruchinina OV, Kornev AN (2019) EEG resting state functional connectivity in 9–13 year-old dyslexics. In: The night whites language workshop: the fifth saint petersburg winter workshop on experimental studies of speech and language (Night Whites 2019), p. 96.
go back to reference Stein J (2019) The current status of the magnocellular theory of developmental dyslexia. Neuropsychologia 130:66–77PubMedCrossRef Stein J (2019) The current status of the magnocellular theory of developmental dyslexia. Neuropsychologia 130:66–77PubMedCrossRef
go back to reference Tuncer T, Dogan S, Ertam F, Subasi A (2021) A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals. Cogn Neurodyn 15(2):223–237PubMedCrossRef Tuncer T, Dogan S, Ertam F, Subasi A (2021) A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals. Cogn Neurodyn 15(2):223–237PubMedCrossRef
go back to reference Ulrike K, Neef NE, Kraft I, Schaadt G, Dörr L, Brauer J, Czepezauer I, et al (2020) The emergence of dyslexia in the developing brain. Neuroimage 211. Ulrike K, Neef NE, Kraft I, Schaadt G, Dörr L, Brauer J, Czepezauer I, et al (2020) The emergence of dyslexia in the developing brain. Neuroimage 211.
go back to reference Usman OL, Muniyandi RC, Omar K, Mohamad M (2021a) Advance machine learning methods for dyslexia biomarker detection: a review of implementation details and challenges. IEEE Access 9:36879–36897CrossRef Usman OL, Muniyandi RC, Omar K, Mohamad M (2021a) Advance machine learning methods for dyslexia biomarker detection: a review of implementation details and challenges. IEEE Access 9:36879–36897CrossRef
go back to reference Usman OL, Muniyandi RC, Omar K, Mohamad M (2021b) Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism. PLoS ONE 16(2):e0245579PubMedPubMedCentralCrossRef Usman OL, Muniyandi RC, Omar K, Mohamad M (2021b) Gaussian smoothing and modified histogram normalization methods to improve neural-biomarker interpretations for dyslexia classification mechanism. PLoS ONE 16(2):e0245579PubMedPubMedCentralCrossRef
go back to reference Valdois S et al (2006) Polysyllabic pseudo-word processing in reading and lexical decision: converging evidence from behavioral data, connectionist simulations and functional MRI. Brain Res 1085:149–162PubMedCrossRef Valdois S et al (2006) Polysyllabic pseudo-word processing in reading and lexical decision: converging evidence from behavioral data, connectionist simulations and functional MRI. Brain Res 1085:149–162PubMedCrossRef
go back to reference Ververidis D, Kotropoulos C (2008) Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition. Signal Process 88:2956–2970CrossRef Ververidis D, Kotropoulos C (2008) Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition. Signal Process 88:2956–2970CrossRef
go back to reference Vilhena DA, Guimarães MR, Guimarães RQ, Pinheiro AMV (2021) Magnocellular visual function in developmental dyslexia: deficit in frequency-doubling perimetry and ocular motor skills. Arq Bras Oftalmol 84:442–448PubMedCrossRef Vilhena DA, Guimarães MR, Guimarães RQ, Pinheiro AMV (2021) Magnocellular visual function in developmental dyslexia: deficit in frequency-doubling perimetry and ocular motor skills. Arq Bras Oftalmol 84:442–448PubMedCrossRef
go back to reference Wang C-Y, Wang J-J, Li J-Y, Liu S-H (2017) Exploring the performance of dyslexic children in reciting and writing Chinese. In: Proceedings of the 2017 IEEE 8th international conference on awareness science and technology (iCAST), pp 82–86. Wang C-Y, Wang J-J, Li J-Y, Liu S-H (2017) Exploring the performance of dyslexic children in reciting and writing Chinese. In: Proceedings of the 2017 IEEE 8th international conference on awareness science and technology (iCAST), pp 82–86.
go back to reference Wechsler D (1949) Wechsler Intelligence Scale for Children; manual Wechsler D (1949) Wechsler Intelligence Scale for Children; manual
go back to reference Winkler I, Haufe S, Tangermann M (2011) Automatic classification of artifactual ICA-components for artifact removal in EEG signals. Behav Brain Funct 1:30CrossRef Winkler I, Haufe S, Tangermann M (2011) Automatic classification of artifactual ICA-components for artifact removal in EEG signals. Behav Brain Funct 1:30CrossRef
go back to reference Wold S, Esbensen K, Geladi P (1987) Principal component analysis. Chemomet Intell Lab Syst 2:37–52CrossRef Wold S, Esbensen K, Geladi P (1987) Principal component analysis. Chemomet Intell Lab Syst 2:37–52CrossRef
go back to reference Xue H, Wang Z, Tan Y, Yang H, Fu W, Xue L, Zhao J (2020) Resting-state EEG reveals global network deficiency in dyslexic children. Neuropsychologia 138:107343PubMedCrossRef Xue H, Wang Z, Tan Y, Yang H, Fu W, Xue L, Zhao J (2020) Resting-state EEG reveals global network deficiency in dyslexic children. Neuropsychologia 138:107343PubMedCrossRef
go back to reference XXX (2004) EEG feature extraction for classification of sleep stages. In: The 26th annual international conference of the IEEE engineering in medicine and biology society. IEEE. XXX (2004) EEG feature extraction for classification of sleep stages. In: The 26th annual international conference of the IEEE engineering in medicine and biology society. IEEE.
go back to reference Zhuang N, Zeng Y, Tong L, Zhang C, Zhang H, Yan B (2017) Emotion recognition from EEG signals using multidimensional information in EMD domain. BioMed Res Int 2017:1–9CrossRef Zhuang N, Zeng Y, Tong L, Zhang C, Zhang H, Yan B (2017) Emotion recognition from EEG signals using multidimensional information in EMD domain. BioMed Res Int 2017:1–9CrossRef
go back to reference Ziegler JC, Perry C, Zorzi M (2020) Learning to read and dyslexia: from theory to intervention through personalized computational models. Curr Direct Psychol Sci 29(3):293–300CrossRef Ziegler JC, Perry C, Zorzi M (2020) Learning to read and dyslexia: from theory to intervention through personalized computational models. Curr Direct Psychol Sci 29(3):293–300CrossRef
Metadata
Title
Extraction of discriminative features from EEG signals of dyslexic children; before and after the treatment
Authors
Anahita Oliaee
Maryam Mohebbi
Sepehr Shirani
Reza Rostami
Publication date
07-03-2022
Publisher
Springer Netherlands
Published in
Cognitive Neurodynamics / Issue 6/2022
Print ISSN: 1871-4080
Electronic ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-022-09794-2

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