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https://www.readbyqxmd.com/read/29664902/a-general-prediction-model-for-the-detection-of-adhd-and-autism-using-structural-and-functional-mri
#1
Bhaskar Sen, Neil C Borle, Russell Greiner, Matthew R G Brown
This work presents a novel method for learning a model that can diagnose Attention Deficit Hyperactivity Disorder (ADHD), as well as Autism, using structural texture and functional connectivity features obtained from 3-dimensional structural magnetic resonance imaging (MRI) and 4-dimensional resting-state functional magnetic resonance imaging (fMRI) scans of subjects. We explore a series of three learners: (1) The LeFMS learner first extracts features from the structural MRI images using the texture-based filters produced by a sparse autoencoder...
2018: PloS One
https://www.readbyqxmd.com/read/29656430/individual-differences-in-stop-related-activity-are-inflated-by-the-adaptive-algorithm-in-the-stop-signal-task
#2
Nicholas D'Alberto, Bader Chaarani, Catherine A Orr, Philip A Spechler, Matthew D Albaugh, Nicholas Allgaier, Alexander Wonnell, Tobias Banaschewski, Arun L W Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Patricia J Conrod, Sylvane Desrivières, Herta Flor, Juliane H Fröhner, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Itterman, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Trevor W Robbins, Michael N Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Alexandra S Potter, Hugh Garavan
Research using the Stop Signal Task employing an adaptive algorithm to accommodate individual differences often report inferior performance on the task in individuals with ADHD, OCD, and substance use disorders compared to non-clinical controls. Furthermore, individuals with deficits in inhibitory control tend to show reduced neural activity in key inhibitory regions during successful stopping. However, the adaptive algorithm systematically introduces performance-related differences in objective task difficulty that may influence the estimation of individual differences in stop-related neural activity...
April 15, 2018: Human Brain Mapping
https://www.readbyqxmd.com/read/29651240/cognitive-neuroscience-of-attention-deficit-hyperactivity-disorder-adhd-and-its-clinical-translation
#3
REVIEW
Katya Rubia
This review focuses on the cognitive neuroscience of Attention Deficit Hyperactivity Disorder (ADHD) based on functional magnetic resonance imaging (fMRI) studies and on recent clinically relevant applications such as fMRI-based diagnostic classification or neuromodulation therapies targeting fMRI deficits with neurofeedback (NF) or brain stimulation. Meta-analyses of fMRI studies of executive functions (EFs) show that ADHD patients have cognitive-domain dissociated complex multisystem impairments in several right and left hemispheric dorsal, ventral and medial fronto-cingulo-striato-thalamic and fronto-parieto-cerebellar networks that mediate cognitive control, attention, timing and working memory (WM)...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29593515/resting-state-brain-signal-variability-in-prefrontal-cortex-is-associated-with-adhd-symptom-severity-in-children
#4
Jason S Nomi, Elana Schettini, Willa Voorhies, Taylor S Bolt, Aaron S Heller, Lucina Q Uddin
Atypical brain function in attention-deficit/hyperactivity disorder (ADHD) has been identified using both task-activation and functional connectivity fMRI approaches. Recent work highlights the potential for another measure derived from functional neuroimaging data, brain signal variability, to reveal insights into clinical conditions. Higher brain signal variability has previously been linked with optimal behavioral performance. At present, little is known regarding the relationship between resting-state brain signal variability and ADHD symptom severity...
2018: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/29564731/dopamine-d4-receptor-gene-associated-with-the-frontal-striatal-cerebellar-loop-in-children-with-adhd-a-resting-state-fmri-study
#5
Andan Qian, Xin Wang, Huiru Liu, Jiejie Tao, Jiejie Zhou, Qiong Ye, Jiance Li, Chuang Yang, Jingliang Cheng, Ke Zhao, Meihao Wang
Attention deficit hyperactivity disorder (ADHD) is a common childhood neuropsychiatric disorder that has been linked to the dopaminergic system. This study aimed to investigate the effects of regulation of the dopamine D4 receptor (DRD4) on functional brain activity during the resting state in ADHD children using the methods of regional homogeneity (ReHo) and functional connectivity (FC). Resting-state functional magnetic resonance imaging data were analyzed in 49 children with ADHD. All participants were classified as either carriers of the DRD4 4-repeat/4-repeat (4R/4R) allele (n = 30) or the DRD4 2-repeat (2R) allele (n = 19)...
March 21, 2018: Neuroscience Bulletin
https://www.readbyqxmd.com/read/29409566/brain-behavior-patterns-define-a-dimensional-biotype-in-medication-na%C3%A3-ve-adults-with-attention-deficit-hyperactivity-disorder
#6
Hsiang-Yuan Lin, Luca Cocchi, Andrew Zalesky, Jinglei Lv, Alistair Perry, Wen-Yih Isaac Tseng, Prantik Kundu, Michael Breakspear, Susan Shur-Fen Gau
BACKGROUND: Childhood-onset attention-deficit hyperactivity disorder (ADHD) in adults is clinically heterogeneous and commonly presents with different patterns of cognitive deficits. It is unclear if this clinical heterogeneity expresses a dimensional or categorical difference in ADHD. METHODS: We first studied differences in functional connectivity in multi-echo resting-state functional magnetic resonance imaging (rs-fMRI) acquired from 80 medication-naïve adults with ADHD and 123 matched healthy controls...
February 7, 2018: Psychological Medicine
https://www.readbyqxmd.com/read/29395624/anterior-cingulate-cortex-glutamate-and-its-association-with-striatal-functioning-during-cognitive-control
#7
Jilly Naaijen, David J Lythgoe, Marcel P Zwiers, Catharina A Hartman, Pieter J Hoekstra, Jan K Buitelaar, Esther Aarts
Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by structural, functional and neurochemical alterations of the fronto-striatal circuits and by deficits in cognitive control. In particular, ADHD has been associated with impairments in top-down fronto-striatal glutamate-signalling. However, it is unknown whether fronto-striatal glutamate is related to cognitive control dysfunction. Here we explored whether and how anterior cingulate cortex (ACC) glutamate relates to striatal BOLD-responses during cognitive control...
January 30, 2018: European Neuropsychopharmacology: the Journal of the European College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/29324299/boys-with-conduct-problems-and-callous-unemotional-traits-neural-response-to-reward-and-punishment-and-associations-with-treatment-response
#8
Amy L Byrd, Samuel W Hawes, Jeffrey D Burke, Rolf Loeber, Dustin A Pardini
Abnormalities in reward and punishment processing are implicated in the development of conduct problems (CP), particularly among youth with callous-unemotional (CU) traits. However, no studies have examined whether CP children with high versus low CU traits exhibit differences in the neural response to reward and punishment. A clinic-referred sample of CP boys with high versus low CU traits (ages 8-11; n = 37) and healthy controls (HC; n = 27) completed a fMRI task assessing reward and punishment processing...
December 15, 2017: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29316800/pro-dopamine-regulator-kb220z-attenuates-hoarding-and-shopping-behavior-in-a-female-diagnosed-with-sud-and-adhd
#9
Thomas McLaughlin, Kenneth Blum, Bruce Steinberg, Edward J Modestino, Lyle Fried, David Baron, David Siwicki, Eric R Braverman, Rajendra D Badgaiyan
Background Addictive-like behaviors (e.g., hoarding and shopping) may be the result of the cumulative effects of dopaminergic and other neurotransmitter genetic variants as well as elevated stress levels. We, therefore, propose that dopamine homeostasis may be the preferred goal in combating such challenging and unwanted behaviors, when simple dopaminergic activation through potent agonists may not provide any resolution. Case presentation C.J. is a 38-year-old, single, female, living with her mother. She has a history of substance use disorder as well as attention deficit hyperactivity disorder, inattentive type...
March 1, 2018: Journal of Behavioral Addictions
https://www.readbyqxmd.com/read/29274848/mirror-neuron-system-activation-in-children-with-developmental-coordination-disorder-a-replication-functional-mri-study
#10
J E Reynolds, J Billington, S Kerrigan, J Williams, C Elliott, A M Winsor, L Codd, M Bynevelt, M K Licari
BACKGROUND: It has been hypothesised that abnormal functioning of the mirror neuron system (MNS) may lead to deficits in imitation and the internal representation of movement, potentially contributing to the motor impairments associated with developmental coordination disorder (DCD). AIMS: Using fMRI, this study examined brain activation patterns in children with and without DCD on a finger adduction/abduction task during four MNS activation states: observation; motor imagery; execution; and imitation...
December 20, 2017: Research in Developmental Disabilities
https://www.readbyqxmd.com/read/29274748/neural-circuitry-underlying-sustained-attention-in-healthy-adolescents-and-in-adhd-symptomatology
#11
Laura O'Halloran, Zhipeng Cao, Kathy Ruddy, Lee Jollans, Matthew D Albaugh, Andrea Aleni, Alexandra S Potter, Nigel Vahey, Tobias Banaschewski, Sarah Hohmann, Arun L W Bokde, Uli Bromberg, Christian Büchel, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Vincent Frouin, Penny Gowland, Andreas Heinz, Bernd Ittermann, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Michael N Smolka, Henrik Walter, Gunter Schumann, Hugh Garavan, Clare Kelly, Robert Whelan
Moment-to-moment reaction time variability on tasks of attention, often quantified by intra-individual response variability (IRV), provides a good indication of the degree to which an individual is vulnerable to lapses in sustained attention. Increased IRV is a hallmark of several disorders of attention, including Attention-Deficit/Hyperactivity Disorder (ADHD). Here, task-based fMRI was used to provide the first examination of how average brain activation and functional connectivity patterns in adolescents are related to individual differences in sustained attention as measured by IRV...
April 1, 2018: NeuroImage
https://www.readbyqxmd.com/read/29171429/age-related-connectivity-differences-between-attention-deficit-and-hyperactivity-disorder-patients-and-typically-developing-subjects-a-resting-state-functional-mri-study
#12
Jisu Hong, Bo-Yong Park, Hwan-Ho Cho, Hyunjin Park
Attention deficit and hyperactivity disorder (ADHD) is a disorder characterized by behavioral symptoms including hyperactivity/impulsivity among children, adolescents, and adults. These ADHD related symptoms are influenced by the complex interaction of brain networks which were under explored. We explored age-related brain network differences between ADHD patients and typically developing (TD) subjects using resting state fMRI (rs-fMRI) for three age groups of children, adolescents, and adults. We collected rs-fMRI data from 184 individuals (27 ADHD children and 31 TD children; 32 ADHD adolescents and 32 TD adolescents; and 31 ADHD adults and 31 TD adults)...
October 2017: Neural Regeneration Research
https://www.readbyqxmd.com/read/29137838/fusion-of-fmri-and-non-imaging-data-for-adhd-classification
#13
Atif Riaz, Muhammad Asad, Eduardo Alonso, Greg Slabaugh
Resting state fMRI has emerged as a popular neuroimaging method for automated recognition and classification of different brain disorders. Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common brain disorders affecting young children, yet its underlying mechanism is not completely understood and its diagnosis is mainly dependent on behavior analysis. This paper addresses the problem of classification of ADHD based on resting state fMRI and proposes a machine learning framework with integration of non-imaging data with imaging data to investigate functional connectivity alterations between ADHD and control subjects (not diagnosed with ADHD)...
October 19, 2017: Computerized Medical Imaging and Graphics: the Official Journal of the Computerized Medical Imaging Society
https://www.readbyqxmd.com/read/29122720/connectome-based-predictive-modeling-of-attention-comparing-different-functional-connectivity-features-and-prediction-methods-across-datasets
#14
Kwangsun Yoo, Monica D Rosenberg, Wei-Ting Hsu, Sheng Zhang, Chiang-Shan R Li, Dustin Scheinost, R Todd Constable, Marvin M Chun
Connectome-based predictive modeling (CPM; Finn et al., 2015; Shen et al., 2017) was recently developed to predict individual differences in traits and behaviors, including fluid intelligence (Finn et al., 2015) and sustained attention (Rosenberg et al., 2016a), from functional brain connectivity (FC) measured with fMRI. Here, using the CPM framework, we compared the predictive power of three different measures of FC (Pearson's correlation, accordance, and discordance) and two different prediction algorithms (linear and partial least square [PLS] regression) for attention function...
November 6, 2017: NeuroImage
https://www.readbyqxmd.com/read/29104944/psychotropic-medication-use-in-autism-spectrum-disorders-may-affect-functional-brain-connectivity
#15
Annika C Linke, Lindsay Olson, Yangfeifei Gao, Inna Fishman, Ralph-Axel Müller
Background: Prescription of psychotropic medications is common in autism spectrum disorders (ASDs), either off-label or to treat comorbid conditions such as ADHD or depression. Psychotropic medications are intended to alter brain function. Yet, studies investigating the functional brain organization in ASDs rarely take medication usage into account. This could explain some of the inconsistent findings of atypical brain network connectivity reported in the autism literature. Methods: The current study tested whether functional connectivity patterns, as assessed with functional magnetic resonance imaging (fMRI), differed in a cohort of 49 children and adolescents with ASDs based on psychotropic medication status, and in comparison with 50 matched typically developing (TD) participants...
September 2017: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29052617/adhd-smoking-withdrawal-and-inhibitory-control-results-of-a-neuroimaging-study-with-methylphenidate-challenge
#16
Maggie M Sweitzer, Scott H Kollins, Rachel V Kozink, Matt Hallyburton, Joseph English, Merideth A Addicott, Jason A Oliver, F Joseph McClernon
Smoking withdrawal negatively impacts inhibitory control, and these effects are greater for smokers with preexisting attention problems, such as attention deficit/hyperactivity disorder (ADHD). The current study preliminarily evaluated changes in inhibitory control-related behavior and brain activation during smoking withdrawal among smokers with ADHD. Moreover, we investigated the role of catecholamine transmission in these changes by examining the effects of 40 mg methylphenidate (MPH) administration. Adult daily smokers with (n=17) and without (n=20) ADHD completed fMRI scanning under each of three conditions: (a) smoking as usual+placebo; (b) 24 h smoking abstinence+placebo and (c) 24 h smoking abstinence+MPH...
March 2018: Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology
https://www.readbyqxmd.com/read/29049910/an-improved-synchronization-likelihood-method-for-quantifying-neuronal-synchrony
#17
Sina Khanmohammadi
Indirect quantification of the synchronization between two dynamical systems from measured experimental data has gained much attention in recent years, especially in the computational neuroscience community where the exact model of the neuronal dynamics is unknown. In this regard, one of the most promising methods for quantifying the interrelationship between nonlinear non-stationary systems is known as Synchronization Likelihood (SL), which is based on the likelihood of the auto-recurrence of embedding vectors (similar patterns) in multiple dynamical systems...
October 3, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29036764/hippotherapy-and-neurofeedback-training-effect-on-the-brain-function-and-serum-brain-derived-neurotrophic-factor-level-changes-in-children-with-attention-deficit-or-and-hyperactivity-disorder
#18
Namju Lee, Sok Park, Jongkyu Kim
PURPOSE: The purpose of this study was to investigate the effect of hippotherapy and electroencephalography (EEG) neurofeedback on brain function and blood brain-derived neurotrophic factor (BDNF) level in children with attention-deficit or/and hyperactivity disorder (ADHD). METHODS: Sixteen children with ADHD participated in this study and were randomly divided into 2 groups, a 1-time hippotherapy group (W1G, n = 8) and a 2-time hippotherapy group (W2G, n = 8)...
September 30, 2017: Journal of Exercise Nutrition & Biochemistry
https://www.readbyqxmd.com/read/28988149/neural-dysfunction-during-temporal-discounting-in-paediatric-attention-deficit-hyperactivity-disorder-and-obsessive-compulsive-disorder
#19
Luke J Norman, Christina O Carlisi, Anastasia Christakou, Kaylita Chantiluke, Clodagh Murphy, Andrew Simmons, Vincent Giampietro, Michael Brammer, David Mataix-Cols, Katya Rubia
Both Attention-Deficit/Hyperactivity Disorder (ADHD) and Obsessive-Compulsive Disorder (OCD) are associated with choice impulsivity, i.e. the tendency to prefer smaller immediate rewards over larger delayed rewards. However, the extent to which this impulsivity is mediated by shared or distinct underlying neural mechanisms is unclear. Twenty-six boys with ADHD, 20 boys with OCD and 20 matched controls (aged 12-18) completed an fMRI version of an individually adjusted temporal discounting (TD) task which requires choosing between a variable amount of money now or £100 in one week, one month or one year...
November 30, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28943846/a-computational-model-for-the-automatic-diagnosis-of-attention-deficit-hyperactivity-disorder-based-on-functional-brain-volume
#20
Lirong Tan, Xinyu Guo, Sheng Ren, Jeff N Epstein, Long J Lu
In this paper, we investigated the problem of computer-aided diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning techniques. With the ADHD-200 dataset, we developed a Support Vector Machine (SVM) model to classify ADHD patients from typically developing controls (TDCs), using the regional brain volumes as predictors. Conventionally, the volume of a brain region was considered to be an anatomical feature and quantified using structural magnetic resonance images. One major contribution of the present study was that we had initially proposed to measure the regional brain volumes using fMRI images...
2017: Frontiers in Computational Neuroscience
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