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Zhu Y, Luo X, Guo X, Chen Y, Zheng S, Dang C, Feng Y, Xu C, Wang Y, Song Y, Zhang H, Sun L. Functional reorganization of brain activity in children with attention-deficit/hyperactivity disorder: Evidence from the modulatory effect of cognitive demand during visuospatial attention task. J Psychiatr Res 2023; 166:17-24. [PMID: 37660405 DOI: 10.1016/j.jpsychires.2023.08.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 07/04/2023] [Accepted: 08/26/2023] [Indexed: 09/05/2023]
Abstract
Previous studies reported that the inferior parietal lobule (IPL) had lower activation during visuospatial attention in children with attention-deficit/hyperactivity disorder (ADHD), while the functional connectivity (FC) between the IPL and other brain regions and how cognitive demand might modulate IPL's FC remain unclear. We performed a functional magnetic resonance imaging experiment recruiting two task conditions with relatively low and high cognitive demand of visuospatial attention. Forty-four children with ADHD and 36 age- and sex-matched healthy controls were included. IPL's regional activation and FC intensities were compared between groups and correlated with clinical measurements. We found that the IPL had significantly reduced activation in children with ADHD compared to healthy controls and this abnormal activation was not modulated by the cognitive demand of visuospatial attention. Importantly, further analysis revealed that the functional connectivity between IPL and inferior frontal gyrus was modulated by the cognitive demand of visuospatial attention in children with ADHD. These results revealed a modulatory effect of cognitive demand of visuospatial attention on IPL's functional connectivity but not IPL's activation in children with ADHD. More generally, these results highlight the functional reorganization of the brain activity as a possible compensatory strategy in response to the symptoms of ADHD.
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Affiliation(s)
- Yu Zhu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiangsheng Luo
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xiaojie Guo
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yanbo Chen
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Suli Zheng
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chen Dang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yuan Feng
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chenyang Xu
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yan Song
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, China
| | - Hang Zhang
- Centre for Cognition and Brain Disorders, Affiliated Hospital, Hangzhou Normal University, Hangzhou, 311121, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.
| | - Li Sun
- Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
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Misra R, Gandhi TK. Functional Connectivity Dynamics show Resting-State Instability and Rightward Parietal Dysfunction in ADHD. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2023; 2023:1-4. [PMID: 38083173 DOI: 10.1109/embc40787.2023.10340842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children and is characterised by inattention, impulsiveness and hyperactivity. While several studies have analysed the static functional connectivity in the resting-state functional MRI (rs-fMRI) of ADHD patients, detailed investigations are required to characterize the connectivity dynamics in the brain. In an attempt to establish a link between attention instability and the dynamic properties of Functional Connectivity (FC), we investigated the differences in temporal variability of FC between 40 children with ADHD and 40 Typically Developing (TD) children. Using a sliding-window method to segment the rs-fMRI scans in time, we employed seed-to-voxel correlation analysis for each window to obtain time-evolving seed connectivity maps for seeds placed in the posterior cingulate cortex (PCC) and the medial prefrontal cortex (mPFC). For each subject, the standard deviation of the voxel connectivity time series was used as a measure of the temporal variability of FC. Results showed that ADHD patients exhibited significantly higher variability in dFC than TD children in the cingulo-temporal, cingulo-parietal, fronto-temporal, and fronto-parietal networks ( pFW E < 0.05). Atypical temporal variability was observed in the left and right temporal gyri, the anterior cingulate cortex, and lateral regions of the right parietal cortex. The observations are consistent with visual attention issues, executive control deficit, and rightward parietal dysfunction reported in ADHD, respectively. These results help in understanding the disorder with a fresh perspective linking behavioural inattention with instability in FC in the brain.
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Li B, Guo J, Zhao C, Luo X, Kong Y, Chen Y, Liu H, Sun L, Song Y. Lack of an association between anticipatory alpha oscillations and attentional selection in children with attention-deficit/hyperactivity disorder. Clin Neurophysiol 2022; 138:25-37. [DOI: 10.1016/j.clinph.2022.02.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 01/22/2022] [Accepted: 02/28/2022] [Indexed: 11/16/2022]
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Yang Y, Yang B, Zhang L, Peng G, Fang D. Dynamic Functional Connectivity Reveals Abnormal Variability in the Amygdala Subregions of Children With Attention-Deficit/Hyperactivity Disorder. Front Neurosci 2021; 15:648143. [PMID: 34658751 PMCID: PMC8514188 DOI: 10.3389/fnins.2021.648143] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 09/06/2021] [Indexed: 11/17/2022] Open
Abstract
Objective: This study investigates whether the dynamic functional connectivity (dFC) of the amygdala subregions is altered in children with attention-deficit/hyperactivity disorder (ADHD). Methods: The dFC of the amygdala subregions was systematically calculated using a sliding time window method, for 75 children with ADHD and 20 healthy control (HC) children. Results: Compared with the HC group, the right superficial amygdala exhibited significantly higher dFC with the right prefrontal cortex, the left precuneus, and the left post-central gyrus for children in the ADHD group. The dFC of the amygdala subregions showed a negative association with the cognitive functions of children in the ADHD group. Conclusion: Functional connectivity of the amygdala subregions is more unstable among children with ADHD. In demonstrating an association between the stability of functional connectivity of the amygdala and cognitive functions, this study may contribute by providing a new direction for investigating the internal mechanism of ADHD.
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Affiliation(s)
- Yue Yang
- Children's Healthcare & Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Binrang Yang
- Children's Healthcare & Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Linlin Zhang
- Children's Healthcare & Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Gang Peng
- Children's Healthcare & Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
| | - Diangang Fang
- Children's Healthcare & Mental Health Center, Shenzhen Children's Hospital, Shenzhen, China
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Wang Y, Zuo C, Xu Q, Hao L, Zhang Y. Attention-deficit/hyperactivity disorder is characterized by a delay in subcortical maturation. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110044. [PMID: 32693001 DOI: 10.1016/j.pnpbp.2020.110044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 06/12/2020] [Accepted: 07/13/2020] [Indexed: 10/23/2022]
Abstract
Although previous studies have found that ADHD is characterized by a delay in cortical maturation, it is not clear whether this phenomenon was secondary to developmental trajectories in subcortical regions (caudate, putamen, pallidum, thalamus, hippocampus and amygdala). Using the ADHD-200 dataset, we estimated subcortical volumes in 339 individuals with ADHD and 568 typically developing controls. We defined the growth trajectory of each subcortical structure, delineating a phase of childhood increase followed by an adolescent decrease in subcortical volumes using a quadratic growth model. From these trajectories, the age of attaining peak subcortical volumes was derived and used as an index of subcortical maturation. We found that subcortical structures (caudate, putamen, pallidum, thalamus, hippocampus and amygdala) followed curvilinear trajectories similar to those reported in previous studies. The volumes of these subcortical structures in ADHD were also delayed in the developmental trajectory, which suggested that ADHD may be characterized by a delay in subcortical maturation. This delay may lead to a shift in which individuals with ADHD go through the process of pruning the nerve connections that is part of the normal maturation process during adolescence. Further, we also found that the asymmetric development of subcortical structures was abnormal in ADHD, which resulted from the imbalance of the maturation delay of bilateral subcortical structures. The subcortical maturation delay may play an important role in the pathophysiology of ADHD. Our findings provide new potential targets to investigate the pathophysiology of ADHD.
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Affiliation(s)
- Yanpei Wang
- Jiangsu Provincial Key Laboratory of Special Children's Impairment and Intervention, Nanjing Normal University of Special Education, Nanjing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Chenyi Zuo
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Qinfang Xu
- Jiangsu Provincial Key Laboratory of Special Children's Impairment and Intervention, Nanjing Normal University of Special Education, Nanjing, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
| | - Lei Hao
- State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China; IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Yuning Zhang
- Centre for Innovation in Mental Health, University of Southampton, UK.
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Electroencephalographic and Neuroimaging Asymmetry Correlation in Patients with Attention-Deficit Hyperactivity Disorder. Neural Plast 2020; 2020:4838291. [PMID: 32952547 PMCID: PMC7481992 DOI: 10.1155/2020/4838291] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 07/21/2020] [Accepted: 08/18/2020] [Indexed: 11/17/2022] Open
Abstract
The present study explores the correlation between electroencephalographic and neuroimaging asymmetry index from EEG-MRI functional connectome and EEG power analysis in inattention, motion, and mixed profile subgroups of ADHD. Sixty-two subjects from Healthy Brain Network Biobank of the Child Mind Institute dataset were selected basing on the quotient score. From both MRI and EEG asymmetry index, Pearson's correlation, ANOVA, and partial least square analysis were performed matching left and right brain parcels and channels. The asymmetry index significantly correlated across subjects between fMRI and power-EEG in the inattention group in frontal and temporal areas for theta and alpha bands, an anticorrelation in the same areas for delta band was found. Significant patterns of hemispheric asymmetry index have been reported, involving EEG bands that underlie cognitive impairments in ADHD. Alpha and theta bands were altered in the inattention group of patients, reflecting widespread deficiency of basic attentional processing.
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Dutta CN, Christov-Moore L, Anderson A, Koch Z, Kaur P, Vasheghani-Farahani F, Douglas PK. Inter-hemispheric Asymmetry Patterns in the ADHD Brain: A Neuroimaging Replication Study. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2019; 11330:113301C. [PMID: 36590311 PMCID: PMC9799963 DOI: 10.1117/12.2546895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Attention-deficit/ hyperactivity disorder (ADHD) is the most common neurodevelopment disorder in children, and many genetic markers have been linked to the behavioral phenotypes of this highly heritable disease. The neuroimaging correlates are similarly complex, with multiple combinations of structural and functional alterations associated with the disease presentations of hyperactivity and inattentiveness. Thus far, neuroimaging studies have provided mixed results in ADHD patients, particularly with respect to the laterality of findings. It is possible that hemispheric asymmetry differences may help reconcile the variability of these findings. We recently reported that inter-hemispheric asymmetry differences were more sensitive descriptors for identifying differences between ADHD and typically developing (TD) brains (n=849) across volumetric, morphometric, and white matter neuroimaging metrics. Here, we examined the replicability of these findings across a new data set (n=202) of TD and ADHD subjects at the time of diagnosis (medication naive) and after a six week course of either stimulant drugs, non-stimulant medications, or combination therapy. Our findings replicated our earlier work across a number of volumetric and white matter measures confirming that asymmetry is more robust at detecting differences between TD and ADHD brains. However, the effects of medication failed to produce significant alterations across either lateralized or symmetry measures. We suggest that the delay in brain volume maturation observed in ADHD youths may be hemisphere dependent. Future work may investigate the extent to which these inter-hemispheric asymmetry differences are causal or compensatory in nature.
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Affiliation(s)
| | | | | | - Zane Koch
- Department of Psychiatry and Biobehavioral Medicine, UCLA
| | - Pashmeen Kaur
- Department of Psychiatry and Biobehavioral Medicine, UCLA
| | | | - Pamela K. Douglas
- Modeling and Simulation Department, University of Central Florida,Department of Psychiatry and Biobehavioral Medicine, UCLA
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Douglas PK, Gutman B, Anderson A, Larios C, Lawrence KE, Narr K, Sengupta B, Cooray G, Douglas DB, Thompson PM, McGough JJ, Bookheimer SY. Hemispheric brain asymmetry differences in youths with attention-deficit/hyperactivity disorder. Neuroimage Clin 2018; 18:744-752. [PMID: 29876263 PMCID: PMC5988460 DOI: 10.1016/j.nicl.2018.02.020] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 02/16/2018] [Accepted: 02/21/2018] [Indexed: 12/05/2022]
Abstract
Introduction Attention-deficit hyperactive disorder (ADHD) is the most common neurodevelopmental disorder in children. Diagnosis is currently based on behavioral criteria, but magnetic resonance imaging (MRI) of the brain is increasingly used in ADHD research. To date however, MRI studies have provided mixed results in ADHD patients, particularly with respect to the laterality of findings. Methods We studied 849 children and adolescents (ages 6-21 y.o.) diagnosed with ADHD (n = 341) and age-matched typically developing (TD) controls with structural brain MRI. We calculated volumetric measures from 34 cortical and 14 non-cortical brain regions per hemisphere, and detailed shape morphometry of subcortical nuclei. Diffusion tensor imaging (DTI) data were collected for a subset of 104 subjects; from these, we calculated mean diffusivity and fractional anisotropy of white matter tracts. Group comparisons were made for within-hemisphere (right/left) and between hemisphere asymmetry indices (AI) for each measure. Results DTI mean diffusivity AI group differences were significant in cingulum, inferior and superior longitudinal fasciculus, and cortico-spinal tracts (p < 0.001) with the effect of stimulant treatment tending to reduce these patterns of asymmetry differences. Gray matter volumes were more asymmetric in medication free ADHD individuals compared to TD in twelve cortical regions and two non-cortical volumes studied (p < 0.05). Morphometric analyses revealed that caudate, hippocampus, thalamus, and amygdala were more asymmetric (p < 0.0001) in ADHD individuals compared to TD, and that asymmetry differences were more significant than lateralized comparisons. Conclusions Brain asymmetry measures allow each individual to serve as their own control, diminishing variability between individuals and when pooling data across sites. Asymmetry group differences were more significant than lateralized comparisons between ADHD and TD subjects across morphometric, volumetric, and DTI comparisons.
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Affiliation(s)
- P K Douglas
- University of Central Florida, IST, Modeling and Simulation Department, FL, USA; Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, UCLA, CA, USA.
| | - Boris Gutman
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - Ariana Anderson
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, UCLA, CA, USA
| | - C Larios
- University of Central Florida, IST, Modeling and Simulation Department, FL, USA
| | | | | | - Biswa Sengupta
- Wellcome Trust Centre for Neuroimaging, 12 Queen Square, UCL, London, UK
| | - Gerald Cooray
- Wellcome Trust Centre for Neuroimaging, 12 Queen Square, UCL, London, UK
| | - David B Douglas
- Nuclear Medicine and Molecular Imaging, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, USC Keck School of Medicine, Marina del Rey, CA, USA
| | - James J McGough
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, UCLA, CA, USA
| | - Susan Y Bookheimer
- Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, UCLA, CA, USA
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Hasler R, Preti MG, Meskaldji DE, Prados J, Adouan W, Rodriguez C, Toma S, Hiller N, Ismaili T, Hofmeister J, Sinanaj I, Baud P, Haller S, Giannakopoulos P, Schwartz S, Perroud N, Van De Ville D. Inter-hemispherical asymmetry in default-mode functional connectivity and BAIAP2 gene are associated with anger expression in ADHD adults. Psychiatry Res Neuroimaging 2017; 269:54-61. [PMID: 28938222 DOI: 10.1016/j.pscychresns.2017.09.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2016] [Revised: 09/07/2017] [Accepted: 09/07/2017] [Indexed: 11/27/2022]
Abstract
Attention deficit hyperactivity disorder (ADHD) is accompanied by resting-state alterations, including abnormal activity, connectivity and asymmetry of the default-mode network (DMN). Concurrently, recent studies suggested a link between ADHD and the presence of polymorphisms within the gene BAIAP2 (i.e., brain-specific angiogenesis inhibitor 1-associated protein 2), known to be differentially expressed in brain hemispheres. The clinical and neuroimaging correlates of this polymorphism are still unknown. We investigated the association between BAIAP2 polymorphisms and DMN functional connectivity (FC) asymmetry as well as behavioral measures in ADHD adults. Resting-state fMRI was acquired from 30 ADHD and 15 healthy adults. For each subject, rs7210438 and rs8079626 within the gene BAIAP2 were genotyped. ADHD severity, impulsiveness and anger were assessed for the ADHD group. Using multivariate analysis of variance, we found that genetic features do have an impact on DMN FC asymmetry. In particular, polymorphism rs8079626 affects medial frontal gyrus and inferior parietal lobule connectivity asymmetry, lower for AA than AG/GG carriers. Further, when combining FC asymmetry and the presence of the rs8079626 variant, we successfully predicted increased externalization of anger in ADHD. In conclusion, a complex interplay between genetic vulnerability and inter-hemispherical DMN FC asymmetry plays a role in emotion regulation in adult ADHD.
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Affiliation(s)
- R Hasler
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - M G Preti
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland.
| | - D E Meskaldji
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland; Institute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Switzerland
| | - J Prados
- Department of Psychiatry, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - W Adouan
- Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - C Rodriguez
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - S Toma
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - N Hiller
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - T Ismaili
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - J Hofmeister
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland
| | - I Sinanaj
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Neuroscience, Faculty of Medicine of the University of Geneva, Switzerland; Swiss Center for Affective Studies, University of Geneva, Switzerland
| | - P Baud
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland
| | - S Haller
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland
| | - P Giannakopoulos
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland
| | - S Schwartz
- Department of Psychiatry, University of Geneva, Switzerland
| | - N Perroud
- Department of Mental Health and Psychiatry, University Hospitals of Geneva, Switzerland; Department of Psychiatry, University of Geneva, Switzerland
| | - D Van De Ville
- Department of Radiology and Medical Informatics, University of Geneva, Switzerland; Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Switzerland
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Liu ZX, Glizer D, Tannock R, Woltering S. EEG alpha power during maintenance of information in working memory in adults with ADHD and its plasticity due to working memory training: A randomized controlled trial. Clin Neurophysiol 2016; 127:1307-1320. [DOI: 10.1016/j.clinph.2015.10.032] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2015] [Revised: 09/15/2015] [Accepted: 10/07/2015] [Indexed: 01/30/2023]
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Hammer R, Cooke GE, Stein MA, Booth JR. Functional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder. Neuroimage Clin 2015; 9:244-52. [PMID: 26509111 PMCID: PMC4576365 DOI: 10.1016/j.nicl.2015.08.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 08/21/2015] [Accepted: 08/25/2015] [Indexed: 01/30/2023]
Abstract
Finding neurobiological markers for neurodevelopmental disorders, such as attention deficit and hyperactivity disorder (ADHD), is a major objective of clinicians and neuroscientists. We examined if functional Magnetic Resonance Imaging (fMRI) data from a few distinct visuospatial working memory (VSWM) tasks enables accurately detecting cases with ADHD. We tested 20 boys with ADHD combined type and 20 typically developed (TD) boys in four VSWM tasks that differed in feedback availability (feedback, no-feedback) and reward size (large, small). We used a multimodal analysis based on brain activity in 16 regions of interest, significantly activated or deactivated in the four VSWM tasks (based on the entire participants' sample). Dimensionality of the data was reduced into 10 principal components that were used as the input variables to a logistic regression classifier. fMRI data from the four VSWM tasks enabled a classification accuracy of 92.5%, with high predicted ADHD probability values for most clinical cases, and low predicted ADHD probabilities for most TDs. This accuracy level was higher than those achieved by using the fMRI data of any single task, or the respective behavioral data. This indicates that task-based fMRI data acquired while participants perform a few distinct VSWM tasks enables improved detection of clinical cases.
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Affiliation(s)
- Rubi Hammer
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA ; Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA
| | - Gillian E Cooke
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA ; Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana-Champaign, IL, USA
| | - Mark A Stein
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - James R Booth
- Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA ; Interdepartmental Neuroscience Program, Northwestern University, Evanston, IL, USA ; Department of Communication Sciences and Disorders, The University of Texas at Austin, Austin, TX, USA
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