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A Survey of Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological Data

Senuri De Silva, Sanuwani Dayarathna, Gangani Ariyarathne, Dulani Meedeniya, Sampath Jayarathna
2019 International Journal of Online and Biomedical Engineering (iJOE)  
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurological disorders among children, that affects different areas in the brain that allows executing certain functionalities.  ...  This paper discusses the existing literature on the identification of ADHD using eye movement data and fMRI together including different deep learning techniques, existing models and a thorough analysis  ...  Attention Deficit Hyperactivity Disorder Identification Using Psychophysiological … iJOE -Vol.15, No. 13, 2019 Paper-A Survey of Attention Deficit Hyperactivity Disorder  ... 
doi:10.3991/ijoe.v15i13.10744 fatcat:sux3q6hwszepheu7xsfh4m5uzm

Classification of Attention Deficit Hyperactivity Disorder (ADHD) Considering Diagnosis and Treatment

Sumathi M, Dept. of Information Science and Engineering, Don Bosco Institute of Technology, Bengaluru, India 560 074, Nagaraj G Cholli, Shantharam Nayak
2019 International Journal of Modern Education and Computer Science  
Attention Deficit Hyperactivity Disorder (ADHD) is the most frequent brain disorders in children.  ...  , clinical sample not included [7] Diagnosis of Attention Deficit Hyperactivity Disorder Using Deep Belief Network Based on Greedy Approach fMRI Image Features NeuroImage Machine Learning  ...  Deficit Hyperactivity Disorder (ADHD) Considering Diagnosis and Treatment Copyright © 2019 MECS I.J.  ... 
doi:10.5815/ijmecs.2019.06.04 fatcat:5ok5l7iu4vf2pfat6nmvsmsvyu

Detecting Attention Deficit Hyperactivity Disorder (ADHD) Inflicted Humans using Long Short-Term Memory (LSTM)

Prof. Jaya Jeswani, Priya Soni, Iqra Khatri, Jatin Satoskar
2022 International Journal for Research in Applied Science and Engineering Technology  
Abstract: Attention Deficit Hyperactivity Disorder (ADHD) is a common psychiatric disorder characterised by persistent patterns of inattention, hyperactivity, and impulsivity in children.  ...  learning to analyse rs-fMRI data and, more specifically, to distinguish Attention Deficit Hyperactivity Disorder (ADHD) from healthy controls.  ...  Raiker and Fahad Saeed In this paper they have summarize recent progress in machine learning model for diagnosis of Attention-deficit/Hyperactivity Disorder (ADHD).  ... 
doi:10.22214/ijraset.2022.40971 fatcat:sendonvgevhdthtakbgcjupv2u

Page 1039 of Psychological Abstracts Vol. 91, Issue 3 [page]

2004 Psychological Abstracts  
Methods: A stop-signal paradigm with a primary visual task and auditory stop signal was used to compare per- formance in 13 children with attention-deficit/hyperactivity disorder and 13 control children  ...  Results: Children with attention-deficit/hyperactivity disorder showed poorer inhibitory performance through a slower inhibitory process.  ... 

Anatomical and Functional Brain Imaging in Childhood ADHD: Update 2013

Marco Angriman, Anita Beggiato, Samuele Cortese
2013 Current Developmental Disorders Reports  
Neuroimaging studies of attention-deficit/hyperactivity disorder (ADHD) are continuously adding to our knowledge on the neurobiology of this condition.  ...  We critically overview anatomical magnetic resonance imaging (MRI) and diffusion tensor imaging (DTI) studies, as well as functional MRI and resting state MRI studies.  ...  Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic resonance imaging.  ... 
doi:10.1007/s40474-013-0001-3 fatcat:gthwmju54bejhauoik46lo56rm

Neuropsychological analyses of impulsiveness in childhood hyperactivity

K. Rubia, E. Taylor, A. B. Smith, H. Oksannen, S. Overmeyer, S. Newman
2001 British Journal of Psychiatry  
Neuropsychological analyses of impulsiveness are needed to refine assessment of attention-deficit hyperactivity disorder (ADHD).  ...  Conclusions Attention-deficit hyperactivity disorder is characterised by specific deficits in tasks of motor response inhibition, but not motor timing, and by dysfunction of frontostriatal brain regions  ...  for the Training and Mobility of Researchers. for the Training and Mobility of Researchers.  ... 
doi:10.1192/bjp.179.2.138 pmid:11483475 fatcat:v72jrgbprzdjzoybrkhznqgfxa

Disrupted functional brain connectivity networks in children with attention-deficit/hyperactivity disorder: evidence from resting-state functional near-infrared spectroscopy

Mengjing Wang, Zhishan Hu, Lu Liu, Haimei Li, Qiujin Qian, Haijing Niu
2020 Neurophotonics  
Significance: Attention-deficit/hyperactivity disorder (ADHD) is the most common psychological disease in childhood.  ...  Currently, widely used neuroimaging techniques require complete body confinement and motionlessness and thus are extremely hard for brain scanning of ADHD children.  ...  Acknowledgments This study was supported by the National Natural Science Foundation of China (Nos. 81761148026, 81571340, 81571755, and 81873802).  ... 
doi:10.1117/1.nph.7.1.015012 pmid:32206679 pmcid:PMC7064804 fatcat:chocsbydt5exdjxc37l3mqeh54

Differential diagnosis and management of central auditory processing disorder and attention deficit hyperactivity disorder

G D Chermak, J W Hall, F E Musiek
1999 Journal of american academy of audiology  
Children diagnosed with attention deficit hyperactivity disorder (ADHD) frequently present difficulties performing tasks that challenge the central auditory nervous system.  ...  The relationship between ADHD and central auditory processing disorder (CAPD) is examined from the perspectives of cognitive neuroscience, audiology, and neuropsychology.  ...  J Am Acad Audiol 10: 289-303 (1999) Differential Diagnosis and Management of Central Auditory Processing Disorder and Attention Deficit Hyperactivity Disorder Gail D. Chermak* James W.  ... 
pmid:10385872 fatcat:itxloejjezfzzgmcwjrs2hqnue

Complexity Analysis of Resting-State fMRI in Adult Patients with Attention Deficit Hyperactivity Disorder: Brain Entropy

Gülsüm Akdeniz
2017 Computational Intelligence and Neuroscience  
A total of 25 healthy controls and 20 patients with attention deficit hyperactivity disorder (ADHD) participated. fMRI preprocessing analysis was performed that included head motion correction, temporal  ...  I aimed to construct a connectivity map of visual brain activities using resting-state functional magnetic resonance imaging (fMRI) data and to characterize the level of complexity of functional brain  ...  Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder that typically begins in childhood, often persists into adulthood, and is associated with consistent deficits in  ... 
doi:10.1155/2017/3091815 pmid:29379522 pmcid:PMC5742910 fatcat:iodf3qni3vbznhr3bz37z6czhu

Page 2301 of Psychological Abstracts Vol. 88, Issue 6 [page]

2001 Psychological Abstracts  
(U North Carolina, Dept of Psychology, Greensboro, NC) Treating children and adolescents with attention-deficit/hyperactivity dis- order.  ...  —The magnetic resonance images of 16 right-handed men (aged 18-40 yrs) with dyslexia and 14 controls were compared using a voxel-based analysis.  ... 

Neuroanatomical correlates of attention-deficit-hyperactivity disorder accounting for comorbid oppositional defiant disorder and conduct disorder

Daimei Sasayama, Ayako Hayashida, Hidenori Yamasue, Yuzuru Harada, Tomoki Kaneko, Kiyoto Kasai, Shinsuke Washizuka, Naoji Amano
2010 Psychiatry and Clinical Neurosciences  
Aim: An increasing number of neuroimaging studies have been conducted to uncover the pathophysiology of attention deficit hyperactivity disorder (ADHD).  ...  Key words Attention deficit hyperactivity disorder, brain, magnetic resonance imaging, voxel-based morphometry Neuroanatomical Correlates of ADHD 5 We employed VBM to identify the morphological abnormalities  ...  Neuroanatomical Correlates of ADHD 17  ... 
doi:10.1111/j.1440-1819.2010.02102.x pmid:20546170 fatcat:2p5fauhnlrh7xpayqc4eikevja

Attention deficit hyperactivity disorder prediction using Machine learning

Adarsh Kushwaha
2020 International Journal of Advanced Trends in Computer Science and Engineering  
With the use of cutting-edge methods [5] [6] and techniques we aim to collaborate to the betterment of the Attention Deficit Hyperactivity disorder Detection and classifications and in turn help the  ...  The paper [30] follows the method of deep learning to diagnose Attention Deficit Hyperactivity Disorder.  ... 
doi:10.30534/ijatcse/2020/161942020 fatcat:cpueiaoxe5gyxgjw2m7avv3vne

ADHD as a Specific Cause for Learning Disability [chapter]

Nada Pop-Jordanova
2020 Learning Disabilities [Working Title]  
In the spectrum of possible causes for discrepancy between the capacity to learn and the level of school achievement, Attention Deficit Hyperactivity Disorder (ADHD) has an important place.  ...  Obtained results confirmed the diagnosis of ADHD as well as the presence of serious difficulties in executive system functioning through ERP's component extracted from Q-EEG analysis.  ...  Acknowledgements Many thanks for my collaborators Silvana Markovska-Simoska, PhD, Macedonian Academy of Sciences and Arts, and Tatjana Zorcec, Clinical Psychologist PhD, University Children Hospital, Skopje  ... 
doi:10.5772/intechopen.91272 fatcat:qs7zayfywncghdzpghrruwxbye

Auditory Processing Disorder (APD): Progress in Diagnostics So Far. A Mini-Review on Imaging Techniques

Lara Angelle Micallef
2016 The Journal of International Advanced Otology  
In the 2011 BSA position statement, APD is described as a group of symptoms that may present with other neurodevelopmental disorders, including attention deficit hyperactivity disorder (ADHD) and autism  ...  The auditory deficits involved include the following: "Sound localisation, auditory pattern recognition, auditory discrimination, temporal processing, processing of degraded signals and processing of auditory  ...  Acknowledgements: I would like to thank the lecturers and librarians at the UCL Ear Institute. For sharing their knowledge and enthusiasm for the subject.  ... 
doi:10.5152/iao.2015.1009 pmid:26915160 fatcat:jyn4qhqrlbdrlfk2xpjswnubf4

Functional neuroimaging in child and adolescent psychiatry

Michael C Stevens
2005 Connecticut medicine  
Attention-Deficit/Hyperactivity Disorder Attention-Deficit Hyperactivity Disorder (ADHD) occurs in at least 3 to 5% of schoolaged children. 16 It is marked by symptoms of hyperactive-impulsive behavior  ...  The current widespread popularity of techniques like functional magnetic resonance imaging (fMRI) is driven by the ease of use, the superior spatial and temporal resolution of the data, the lower cost,  ... 
pmid:16270794 fatcat:elgp6vg32ng5vnh5if5qfmucem
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