Dikkat Eksikliği ve Hiperaktivite Bozukluğu’nda Yeni Tanı Yaklaşımları

Yazarlar

Özet

Referanslar

Barkley, R. A. (2002). Major life activity and health outcomes associated with attention-deficit/hyperactivity disorder. Journal of clinical psychiatry, 63, 10-15.

Vos, M., Rommelse, N. N., Franke, B., Oosterlaan, J., Heslenfeld, D. J., Hoekstra, P. J., ... & Hartman, C. A. (2022). Characterizing the heterogeneous course of inattention and hyperactivity-impulsivity from childhood to young adulthood. European Child & Adolescent Psychiatry, 1-11.

Abdelnour, E., Jansen, M. O., & Gold, J. A. (2022). ADHD diagnostic trends: increased recognition or overdiagnosis?. Missouri medicine, 119(5), 467.

Cortese, S., Solmi, M., Michelini, G., Bellato, A., Blanner, C., Canozzi, A., ... & Correll, C. U. (2023). Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review. World Psychiatry, 22(1), 129-149.

Loh, H. W., Ooi, C. P., Barua, P. D., Palmer, E. E., Molinari, F., & Acharya, U. R. (2022). Automated detection of ADHD: Current trends and future perspective. Computers in Biology and Medicine, 146, 105525.

Berger, I., Slobodin, O., & Cassuto, H. (2017). Usefulness and validity of continuous performance tests in the diagnosis of attention-deficit hyperactivity disorder children. Archives of Clinical Neuropsychology, 32(1), 81-93.

Arrondo, G., Mulraney, M., Iturmendi-Sabater, I., Musullulu, H., Gambra, L., Niculcea, T., ... & Cortese, S. (2024). Systematic review and Meta-analysis: clinical utility of continuous performance tests for the identification of attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 63(2), 154-171.

Elbaum, T., Braw, Y., Lev, A., & Rassovsky, Y. (2020). Attention-deficit/hyperactivity disorder (ADHD): Integrating the MOXO-dCPT with an eye tracker enhances diagnostic precision. Sensors, 20(21), 6386.

Adams, R., Finn, P., Moes, E., Flannery, K., & Rizzo, A. S. (2009). Distractibility in attention/deficit/hyperactivity disorder (ADHD): The virtual reality classroom. Child neuropsychology, 15(2), 120-135.

Areces, D., Rodríguez, C., García, T., Cueli, M., & González-Castro, P. (2018). Efficacy of a continuous performance test based on virtual reality in the diagnosis of ADHD and its clinical presentations. Journal of attention disorders, 22(11), 1081-1091.

Wiebe, A., Kannen, K., Selaskowski, B., Mehren, A., Thöne, A. K., Pramme, L., ... & Braun, N. (2022). Virtual reality in the diagnostic and therapy for mental disorders: A systematic review. Clinical Psychology Review, 98, 102213.

Areces, D., Dockrell, J., Garcia, T., Gonzalez-Castro, P., & Rodriguez, C. (2018). Analysis of cognitive and attentional profiles in children with and without ADHD using an innovative virtual reality tool. PloS one, 13(8), e0201039.

Yeh, S. C., Lin, S. Y., Wu, E. H. K., Zhang, K. F., Xiu, X., Rizzo, A., & Chung, C. R. (2020). A virtual-reality system integrated with neuro-behavior sensing for attention-deficit/hyperactivity disorder intelligent assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(9), 1899-1907.

Bioulac, S., Lallemand, S., Rizzo, A., Philip, P., Fabrigoule, C., & Bouvard, M. P. (2012). Impact of time on task on ADHD patient’s performances in a virtual classroom. European Journal of Paediatric Neurology, 16(5), 514-521.

Rodríguez, C., Areces, D., García, T., Cueli, M., & González-Castro, P. (2018). Comparison between two continuous performance tests for identifying ADHD: Traditional vs. virtual reality. International journal of clinical and health psychology, 18(3), 254-263.

Areces, D., Dockrell, J., Garcia, T., Gonzalez-Castro, P., & Rodriguez, C. (2018). Analysis of cognitive and attentional profiles in children with and without ADHD using an innovative virtual reality tool. PloS one, 13(8), e0201039.

Díaz-Orueta, U., Fernández-Fernández, M. A., Morillo-Rojas, M. D., & Climent, G. (2016). Eficacia de la lisdexanfetamina en la mejora sintomática conductual y cognitiva del trastorno por déficit de atención/hiperactividad: tratamiento monitorizado mediante el test AULA Nesplora de realidad virtual. Rev Neurol, 63(1), 19-27.

Jang, S., Choi, J., Oh, J., Yeom, J., Hong, N., Lee, N., ... & Kim, E. (2021). Use of virtual reality working memory task and functional near-infrared spectroscopy to assess brain hemodynamic responses to methylphenidate in ADHD children. Frontiers in psychiatry, 11, 564618.

Goharinejad, S., Goharinejad, S., Hajesmaeel-Gohari, S., & Bahaadinbeigy, K. (2022). The usefulness of virtual, augmented, and mixed reality technologies in the diagnosis and treatment of attention deficit hyperactivity disorder in children: an overview of relevant studies. BMC psychiatry, 22(1), 4.

Son, H. M., Lee, D. G., Joung, Y. S., Lee, J. W., Seok, E. J., Chung, T. M., & Oh, S. (2021). A novel approach to diagnose ADHD using virtual reality. International Journal of Web Information Systems, 17(5), 516-536.

Kofler, M. J., Singh, L. J., Soto, E. F., Chan, E. S., Miller, C. E., Harmon, S. L., & Spiegel, J. A. (2020). Working memory and short-term memory deficits in ADHD: A bifactor modeling approach. Neuropsychology, 34(6), 686.

Papanikolaou, C., Sharma, A., Lind, P. G., & Lencastre, P. (2024). Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses. Entropy, 26(5), 392.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Caldani, S., Razuk, M., Septier, M., Barela, J. A., Delorme, R., Acquaviva, E., & Bucci, M. P. (2019). The effect of dual task on attentional performance in children with ADHD. Frontiers in integrative neuroscience, 12, 67.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Merzon, L., Pettersson, K., Aronen, E. T., Huhdanpää, H., Seesjärvi, E., Henriksson, L., ... & Salmi, J. (2022). Eye movement behavior in a real-world virtual reality task reveals ADHD in children. Scientific reports, 12(1), 20308.

Elbaum, T., Braw, Y., Lev, A., & Rassovsky, Y. (2020). Attention-deficit/hyperactivity disorder (ADHD): Integrating the MOXO-dCPT with an eye tracker enhances diagnostic precision. Sensors, 20(21), 6386.

Lev, A., Braw, Y., Elbaum, T., Wagner, M., & Rassovsky, Y. (2022). Eye tracking during a continuous performance test: Utility for assessing ADHD patients. Journal of Attention Disorders, 26(2), 245-255.

Liu, Z., Li, J., Zhang, Y., Wu, D., Huo, Y., Yang, J., ... & Chen, J. (2024). Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study. JMIR mHealth and uHealth, 12(1), e58927.

Chen, X., Wang, S., Yang, X., Yu, C., Ni, F., Yang, J., ... & Luo, R. (2023). Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children. Frontiers in Psychiatry, 14, 1260031.

Rommelse, N. N., Van der Stigchel, S., & Sergeant, J. A. (2008). A review on eye movement studies in childhood and adolescent psychiatry. Brain and cognition, 68(3), 391-414.

Parsons, T. D., Duffield, T., & Asbee, J. (2019). A comparison of virtual reality classroom continuous performance tests to traditional continuous performance tests in delineating ADHD: a meta-analysis. Neuropsychology review, 29(3), 338-356.

Hotham, E., Haberfield, M., Hillier, S., White, J. M., & Todd, G. (2018). Upper limb function in children with attention-deficit/hyperactivity disorder (ADHD). Journal of Neural Transmission, 125, 713-726.

Ricci, M., Terribili, M., Giannini, F., Errico, V., Pallotti, A., Galasso, C., ... & Saggio, G. (2019). Wearable-based electronics to objectively support diagnosis of motor impairments in school-aged children. Journal of biomechanics, 83, 243-252.

Wilson, R. B., Vangala, S., Reetzke, R., Piergies, A., Ozonoff, S., & Miller, M. (2024). Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD. Autism Research, 17(6), 1094-1105.

Luo, J., Huang, H., Wang, S., Yin, S., Chen, S., Guan, L., ... & Zheng, Y. (2022). A Wearable Diagnostic Assessment System vs. SNAP-IV for the auxiliary diagnosis of ADHD: a diagnostic test. BMC psychiatry, 22(1), 415.

Amado-Caballero, P., Casaseca-de-la-Higuera, P., Alberola-Lopez, S., Andres-de-Llano, J. M., Villalobos, J. A. L., Garmendia-Leiza, J. R., & Alberola-Lopez, C. (2020). Objective ADHD diagnosis using convolutional neural networks over daily-life activity records. IEEE journal of biomedical and health informatics, 24(9), 2690-2700.

Basic, J., Uusimaa, J., & Salmi, J. (2024, May). Wearable Motion Sensors in the Detection of ADHD: A Critical Review. In Nordic Conference on Digital Health and Wireless Solutions (pp. 168-185). Cham: Springer Nature Switzerland.

Jiang, H., Natarajan, R., Shuy, Y. K., Rong, L., Zhang, M. W., & Vallabhajosyula, R. (2022). The use of mobile games in the management of patients with attention deficit hyperactive disorder: a scoping review. Frontiers in psychiatry, 13, 792402.

Rodríguez‐Pérez, N., Caballero‐Gil, P., Rivero‐García, A., & Toledo‐Castro, J. (2020). A secure mHealth application for attention deficit and hyperactivity disorder. Expert Systems, 37(1), e12431.

Mwamba, H. M., Fourie, P. R., & van den Heever, D. (2019). PANDAS: paediatric attention-deficit/hyperactivity disorder application software. Applied Sciences, 9(8), 1645.

Gillan, C. M., & Whelan, R. (2017). What big data can do for treatment in psychiatry. Current Opinion in Behavioral Sciences, 18, 34-42.

Sarıgedik, E., Yektaş, Ç., & Tufan, A. E. (2024). Dikkat Eksikliği Hiperaktivite Bozukluğu Tanısının Makine Öğrenimi Yöntemleri ile Konulması: Sistemik Bir Derleme. Turkish Journal of Child & Adolescent Mental Health/Çocuk ve Gençlik Ruh Sagligi Dergisi, 31(3).

Eslami, T., Almuqhim, F., Raiker, J. S., & Saeed, F. (2021). Machine learning methods for diagnosing autism spectrum disorder and attention-deficit/hyperactivity disorder using functional and structural MRI: a survey. Frontiers in neuroinformatics, 14, 575999.

Maniruzzaman, M., Shin, J., & Hasan, M. A. M. (2022). Predicting children with ADHD using behavioral activity: a machine learning analysis. Applied Sciences, 12(5), 2737.

Jung, M., Tu, Y., Park, J., Jorgenson, K., Lang, C., Song, W., & Kong, J. (2019). Surface-based shared and distinct resting functional connectivity in attention-deficit hyperactivity disorder and autism spectrum disorder. The British Journal of Psychiatry, 214(6), 339-344.

Zou, L., Zheng, J., Miao, C., Mckeown, M. J., & Wang, Z. J. (2017). 3D CNN based automatic diagnosis of attention deficit hyperactivity disorder using functional and structural MRI. Ieee Access, 5, 23626-23636.

Sarıgedik, E., Yektaş, Ç., & Tufan, A. E. (2024). Dikkat Eksikliği Hiperaktivite Bozukluğu Tanısının Makine Öğrenimi Yöntemleri ile Konulması: Sistemik Bir Derleme. Turkish Journal of Child & Adolescent Mental Health/Çocuk ve Gençlik Ruh Sagligi Dergisi, 31(3).

Drucker, E., & Krapfenbauer, K. (2013). Pitfalls and limitations in translation from biomarker discovery to clinical utility in predictive and personalised medicine. EPMA journal, 4, 1-10.

Kim, J. H., Kim, J. Y., Lee, J., Jeong, G. H., Lee, E., Lee, S., ... & Fusar-Poli, P. (2020). Environmental risk factors, protective factors, and peripheral biomarkers for ADHD: an umbrella review. The Lancet Psychiatry, 7(11), 955-970.

Wang, L. J., Kuo, H. C., Lee, S. Y., Huang, L. H., Lin, Y., Lin, P. H., & Li, S. C. (2022). MicroRNAs serve as prediction and treatment-response biomarkers of attention-deficit/hyperactivity disorder and promote the differentiation of neuronal cells by repressing the apoptosis pathway. Translational psychiatry, 12(1), 67.

Buitelaar, J., Bölte, S., Brandeis, D., Caye, A., Christmann, N., Cortese, S., ... & Banaschewski, T. (2022). Toward precision medicine in ADHD. Frontiers in behavioral neuroscience, 16, 900981.

Snyder, S. M., & Hall, J. R. (2006). A meta-analysis of quantitative EEG power associated with attention-deficit hyperactivity disorder. Journal of Clinical Neurophysiology, 23(5), 441-456.

Food and Drug Administration. 2013. “De novo classification request for neuropsychiatric EEG-based assessment aid for ADHD (NEBA) system”. K112711.

Arns, M., Conners, C. K., & Kraemer, H. C. (2013). A decade of EEG theta/beta ratio research in ADHD: a meta-analysis. Journal of attention disorders, 17(5), 374-383.

Marsh, C. L., Groves, N. B., Mehra, L. M., Black, K. E., Irwin Harper, L. N., Meyer, A., & Kofler, M. J. (2023). The relation between executive functions, error-related brain activity, and ADHD symptoms in clinically evaluated school-aged children. Child Neuropsychology, 29(8), 1362-1387.

Bong, S. H., & Kim, J. W. (2021). The Role of Quantitative Electroencephalogram in the Diagnosis and Subgrouping of Attention-Deficit/Hyperactivity Disorder. Journal of the Korean Academy of Child and Adolescent Psychiatry, 32(3), 85.

Snyder, S. M., & Hall, J. R. (2006). A meta-analysis of quantitative EEG power associated with attention-deficit hyperactivity disorder. Journal of Clinical Neurophysiology, 23(5), 441-456.

Snyder, S. M., Rugino, T. A., Hornig, M., & Stein, M. A. (2015). Integration of an EEG biomarker with a clinician's ADHD evaluation. Brain and behavior, 5(4), e00330.

Karalunas, S. L., & Nigg, J. T. (2020). Heterogeneity and subtyping in attention-deficit/hyperactivity disorder—considerations for emerging research using person-centered computational approaches. Biological psychiatry, 88(1), 103-110.

Poliakova, E., Conrad, A. L., Schieltz, K. M., & O'Brien, M. J. (2023). Using fNIRS to evaluate ADHD medication effects on neuronal activity: A systematic literature review. Frontiers in neuroimaging, 2, 1083036.

Ortuño-Miró, S., Molina-Rodríguez, S., Belmonte, C., & Ibañez-Ballesteros, J. (2023). Identifying ADHD boys by very-low frequency prefrontal fNIRS fluctuations during a rhythmic mental arithmetic task. Journal of Neural Engineering, 20(3), 036018.

Gossé, L. K., Bell, S. W., & Hosseini, S. H. (2022). Functional near-infrared spectroscopy in developmental psychiatry: a review of attention deficit hyperactivity disorder. European Archives of Psychiatry and Clinical Neuroscience, 272(2), 273-290.

Referanslar

Barkley, R. A. (2002). Major life activity and health outcomes associated with attention-deficit/hyperactivity disorder. Journal of clinical psychiatry, 63, 10-15.

Vos, M., Rommelse, N. N., Franke, B., Oosterlaan, J., Heslenfeld, D. J., Hoekstra, P. J., ... & Hartman, C. A. (2022). Characterizing the heterogeneous course of inattention and hyperactivity-impulsivity from childhood to young adulthood. European Child & Adolescent Psychiatry, 1-11.

Abdelnour, E., Jansen, M. O., & Gold, J. A. (2022). ADHD diagnostic trends: increased recognition or overdiagnosis?. Missouri medicine, 119(5), 467.

Cortese, S., Solmi, M., Michelini, G., Bellato, A., Blanner, C., Canozzi, A., ... & Correll, C. U. (2023). Candidate diagnostic biomarkers for neurodevelopmental disorders in children and adolescents: a systematic review. World Psychiatry, 22(1), 129-149.

Loh, H. W., Ooi, C. P., Barua, P. D., Palmer, E. E., Molinari, F., & Acharya, U. R. (2022). Automated detection of ADHD: Current trends and future perspective. Computers in Biology and Medicine, 146, 105525.

Berger, I., Slobodin, O., & Cassuto, H. (2017). Usefulness and validity of continuous performance tests in the diagnosis of attention-deficit hyperactivity disorder children. Archives of Clinical Neuropsychology, 32(1), 81-93.

Arrondo, G., Mulraney, M., Iturmendi-Sabater, I., Musullulu, H., Gambra, L., Niculcea, T., ... & Cortese, S. (2024). Systematic review and Meta-analysis: clinical utility of continuous performance tests for the identification of attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 63(2), 154-171.

Elbaum, T., Braw, Y., Lev, A., & Rassovsky, Y. (2020). Attention-deficit/hyperactivity disorder (ADHD): Integrating the MOXO-dCPT with an eye tracker enhances diagnostic precision. Sensors, 20(21), 6386.

Adams, R., Finn, P., Moes, E., Flannery, K., & Rizzo, A. S. (2009). Distractibility in attention/deficit/hyperactivity disorder (ADHD): The virtual reality classroom. Child neuropsychology, 15(2), 120-135.

Areces, D., Rodríguez, C., García, T., Cueli, M., & González-Castro, P. (2018). Efficacy of a continuous performance test based on virtual reality in the diagnosis of ADHD and its clinical presentations. Journal of attention disorders, 22(11), 1081-1091.

Wiebe, A., Kannen, K., Selaskowski, B., Mehren, A., Thöne, A. K., Pramme, L., ... & Braun, N. (2022). Virtual reality in the diagnostic and therapy for mental disorders: A systematic review. Clinical Psychology Review, 98, 102213.

Areces, D., Dockrell, J., Garcia, T., Gonzalez-Castro, P., & Rodriguez, C. (2018). Analysis of cognitive and attentional profiles in children with and without ADHD using an innovative virtual reality tool. PloS one, 13(8), e0201039.

Yeh, S. C., Lin, S. Y., Wu, E. H. K., Zhang, K. F., Xiu, X., Rizzo, A., & Chung, C. R. (2020). A virtual-reality system integrated with neuro-behavior sensing for attention-deficit/hyperactivity disorder intelligent assessment. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 28(9), 1899-1907.

Bioulac, S., Lallemand, S., Rizzo, A., Philip, P., Fabrigoule, C., & Bouvard, M. P. (2012). Impact of time on task on ADHD patient’s performances in a virtual classroom. European Journal of Paediatric Neurology, 16(5), 514-521.

Rodríguez, C., Areces, D., García, T., Cueli, M., & González-Castro, P. (2018). Comparison between two continuous performance tests for identifying ADHD: Traditional vs. virtual reality. International journal of clinical and health psychology, 18(3), 254-263.

Areces, D., Dockrell, J., Garcia, T., Gonzalez-Castro, P., & Rodriguez, C. (2018). Analysis of cognitive and attentional profiles in children with and without ADHD using an innovative virtual reality tool. PloS one, 13(8), e0201039.

Díaz-Orueta, U., Fernández-Fernández, M. A., Morillo-Rojas, M. D., & Climent, G. (2016). Eficacia de la lisdexanfetamina en la mejora sintomática conductual y cognitiva del trastorno por déficit de atención/hiperactividad: tratamiento monitorizado mediante el test AULA Nesplora de realidad virtual. Rev Neurol, 63(1), 19-27.

Jang, S., Choi, J., Oh, J., Yeom, J., Hong, N., Lee, N., ... & Kim, E. (2021). Use of virtual reality working memory task and functional near-infrared spectroscopy to assess brain hemodynamic responses to methylphenidate in ADHD children. Frontiers in psychiatry, 11, 564618.

Goharinejad, S., Goharinejad, S., Hajesmaeel-Gohari, S., & Bahaadinbeigy, K. (2022). The usefulness of virtual, augmented, and mixed reality technologies in the diagnosis and treatment of attention deficit hyperactivity disorder in children: an overview of relevant studies. BMC psychiatry, 22(1), 4.

Son, H. M., Lee, D. G., Joung, Y. S., Lee, J. W., Seok, E. J., Chung, T. M., & Oh, S. (2021). A novel approach to diagnose ADHD using virtual reality. International Journal of Web Information Systems, 17(5), 516-536.

Kofler, M. J., Singh, L. J., Soto, E. F., Chan, E. S., Miller, C. E., Harmon, S. L., & Spiegel, J. A. (2020). Working memory and short-term memory deficits in ADHD: A bifactor modeling approach. Neuropsychology, 34(6), 686.

Papanikolaou, C., Sharma, A., Lind, P. G., & Lencastre, P. (2024). Lévy Flight Model of Gaze Trajectories to Assist in ADHD Diagnoses. Entropy, 26(5), 392.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Caldani, S., Razuk, M., Septier, M., Barela, J. A., Delorme, R., Acquaviva, E., & Bucci, M. P. (2019). The effect of dual task on attentional performance in children with ADHD. Frontiers in integrative neuroscience, 12, 67.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Maron, D. N., Bowe, S. J., Spencer-Smith, M., Mellahn, O. J., Perrykkad, K., Bellgrove, M. A., & Johnson, B. P. (2021). Oculomotor deficits in attention deficit hyperactivity disorder (ADHD): A systematic review and comprehensive meta-analysis. Neuroscience & Biobehavioral Reviews, 131, 1198-1213.

Merzon, L., Pettersson, K., Aronen, E. T., Huhdanpää, H., Seesjärvi, E., Henriksson, L., ... & Salmi, J. (2022). Eye movement behavior in a real-world virtual reality task reveals ADHD in children. Scientific reports, 12(1), 20308.

Elbaum, T., Braw, Y., Lev, A., & Rassovsky, Y. (2020). Attention-deficit/hyperactivity disorder (ADHD): Integrating the MOXO-dCPT with an eye tracker enhances diagnostic precision. Sensors, 20(21), 6386.

Lev, A., Braw, Y., Elbaum, T., Wagner, M., & Rassovsky, Y. (2022). Eye tracking during a continuous performance test: Utility for assessing ADHD patients. Journal of Attention Disorders, 26(2), 245-255.

Liu, Z., Li, J., Zhang, Y., Wu, D., Huo, Y., Yang, J., ... & Chen, J. (2024). Auxiliary Diagnosis of Children With Attention-Deficit/Hyperactivity Disorder Using Eye-Tracking and Digital Biomarkers: Case-Control Study. JMIR mHealth and uHealth, 12(1), e58927.

Chen, X., Wang, S., Yang, X., Yu, C., Ni, F., Yang, J., ... & Luo, R. (2023). Utilizing artificial intelligence-based eye tracking technology for screening ADHD symptoms in children. Frontiers in Psychiatry, 14, 1260031.

Rommelse, N. N., Van der Stigchel, S., & Sergeant, J. A. (2008). A review on eye movement studies in childhood and adolescent psychiatry. Brain and cognition, 68(3), 391-414.

Parsons, T. D., Duffield, T., & Asbee, J. (2019). A comparison of virtual reality classroom continuous performance tests to traditional continuous performance tests in delineating ADHD: a meta-analysis. Neuropsychology review, 29(3), 338-356.

Hotham, E., Haberfield, M., Hillier, S., White, J. M., & Todd, G. (2018). Upper limb function in children with attention-deficit/hyperactivity disorder (ADHD). Journal of Neural Transmission, 125, 713-726.

Ricci, M., Terribili, M., Giannini, F., Errico, V., Pallotti, A., Galasso, C., ... & Saggio, G. (2019). Wearable-based electronics to objectively support diagnosis of motor impairments in school-aged children. Journal of biomechanics, 83, 243-252.

Wilson, R. B., Vangala, S., Reetzke, R., Piergies, A., Ozonoff, S., & Miller, M. (2024). Objective measurement of movement variability using wearable sensors predicts ASD outcomes in infants at high likelihood for ASD and ADHD. Autism Research, 17(6), 1094-1105.

Luo, J., Huang, H., Wang, S., Yin, S., Chen, S., Guan, L., ... & Zheng, Y. (2022). A Wearable Diagnostic Assessment System vs. SNAP-IV for the auxiliary diagnosis of ADHD: a diagnostic test. BMC psychiatry, 22(1), 415.

Amado-Caballero, P., Casaseca-de-la-Higuera, P., Alberola-Lopez, S., Andres-de-Llano, J. M., Villalobos, J. A. L., Garmendia-Leiza, J. R., & Alberola-Lopez, C. (2020). Objective ADHD diagnosis using convolutional neural networks over daily-life activity records. IEEE journal of biomedical and health informatics, 24(9), 2690-2700.

Basic, J., Uusimaa, J., & Salmi, J. (2024, May). Wearable Motion Sensors in the Detection of ADHD: A Critical Review. In Nordic Conference on Digital Health and Wireless Solutions (pp. 168-185). Cham: Springer Nature Switzerland.

Jiang, H., Natarajan, R., Shuy, Y. K., Rong, L., Zhang, M. W., & Vallabhajosyula, R. (2022). The use of mobile games in the management of patients with attention deficit hyperactive disorder: a scoping review. Frontiers in psychiatry, 13, 792402.

Rodríguez‐Pérez, N., Caballero‐Gil, P., Rivero‐García, A., & Toledo‐Castro, J. (2020). A secure mHealth application for attention deficit and hyperactivity disorder. Expert Systems, 37(1), e12431.

Mwamba, H. M., Fourie, P. R., & van den Heever, D. (2019). PANDAS: paediatric attention-deficit/hyperactivity disorder application software. Applied Sciences, 9(8), 1645.

Gillan, C. M., & Whelan, R. (2017). What big data can do for treatment in psychiatry. Current Opinion in Behavioral Sciences, 18, 34-42.

Sarıgedik, E., Yektaş, Ç., & Tufan, A. E. (2024). Dikkat Eksikliği Hiperaktivite Bozukluğu Tanısının Makine Öğrenimi Yöntemleri ile Konulması: Sistemik Bir Derleme. Turkish Journal of Child & Adolescent Mental Health/Çocuk ve Gençlik Ruh Sagligi Dergisi, 31(3).

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