Research output: Contribution to journal › Article › Academic › peer-review
Brainmarker-I Differentially Predicts Remission to Various Attention-Deficit/Hyperactivity Disorder Treatments : A Discovery, Transfer, and Blinded Validation Study. / Voetterl, Helena; van Wingen, Guido; Michelini, Giorgia et al.
In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, Vol. 8, No. 1, 01.2023, p. 52-60.Research output: Contribution to journal › Article › Academic › peer-review
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TY - JOUR
T1 - Brainmarker-I Differentially Predicts Remission to Various Attention-Deficit/Hyperactivity Disorder Treatments
T2 - A Discovery, Transfer, and Blinded Validation Study
AU - Voetterl, Helena
AU - van Wingen, Guido
AU - Michelini, Giorgia
AU - Griffiths, Kristi R.
AU - Gordon, Evian
AU - DeBeus, Roger
AU - Korgaonkar, Mayuresh S.
AU - Loo, Sandra K.
AU - Palmer, Donna
AU - Breteler, Rien
AU - Denys, Damiaan
AU - Arnold, L. Eugene
AU - du Jour, Paul
AU - van Ruth, Rosalinde
AU - Jansen, Jeanine
AU - van Dijk, Hanneke
AU - Arns, Martijn
N1 - Funding Information: KRG and MSK have received research funding from Takeda Pharmaceutical Company (Japan) and Shire (Australia) for work unrelated to that presented in this manuscript. EG is founder and receives income as Chief Executive Officer and Chairman for Brain Resource Ltd. He has stock options in Brain Resource Ltd. RD has received research funding from the National Institute of Mental Health, has served on the Board of Directors for the International Society for Neurofeedback and Research, and has a clinic in North Carolina where he performs neurofeedback, among other clinical services. DP has received income and stock options with the role of science and data processing manager as an employee with Brain Resource Ltd. RB is the owner of EEG Resource, a neurofeedback/psychology practice. LEA has received research funding from Axial, Curemark, Forest, Lilly, Myndlift, Neuropharm, Novartis, Noven, Otsuka, Roche/Genentech, Shire, Ethiopia, Supernus, and YoungLiving (as well as the National Institutes of Health and Autism Speaks); has consulted with CHADD Publishing, Neuropharm, Organon, Pfizer, Sigma-Tau, Shire, Ethiopia, Tris Pharma, and Waypoint; and has been on advisory boards for Arbor, Ironshore, Novartis, Noven, Otsuka, Pfizer, Roche, Seaside Therapeutics, and Sigma-Tau. RvR holds stock in neuroCare Group AG. MA is an unpaid chairman of the nonprofit Brainclinics Foundation, a minority shareholder in neuroCare Group (Munich, Germany), and a coinventor on four patent applications related to electroencephalography, neuromodulation, and psychophysiology but receives no royalties related to these patents; Research Institute Brainclinics received research and consultancy funding from neuroCare Group (Munich, Germany), Brainify.ai (United States), and Urgotech (France) and equipment support from Deymed, neuroConn, and Magventure. All other authors report no biomedical financial interests or potential conflicts of interest. Funding Information: We would like to express our gratitude to Mark Koppenberg for the design and editing of figures and tables. A previous version of this article was published as a preprint on Research Square: https://www.researchsquare.com/article/rs-736917/v1. KRG and MSK have received research funding from Takeda Pharmaceutical Company (Japan) and Shire (Australia) for work unrelated to that presented in this manuscript. EG is founder and receives income as Chief Executive Officer and Chairman for Brain Resource Ltd. He has stock options in Brain Resource Ltd. RD has received research funding from the National Institute of Mental Health, has served on the Board of Directors for the International Society for Neurofeedback and Research, and has a clinic in North Carolina where he performs neurofeedback, among other clinical services. DP has received income and stock options with the role of science and data processing manager as an employee with Brain Resource Ltd. RB is the owner of EEG Resource, a neurofeedback/psychology practice. LEA has received research funding from Axial, Curemark, Forest, Lilly, Myndlift, Neuropharm, Novartis, Noven, Otsuka, Roche/Genentech, Shire, Ethiopia, Supernus, and YoungLiving (as well as the National Institutes of Health and Autism Speaks); has consulted with CHADD Publishing, Neuropharm, Organon, Pfizer, Sigma-Tau, Shire, Ethiopia, Tris Pharma, and Waypoint; and has been on advisory boards for Arbor, Ironshore, Novartis, Noven, Otsuka, Pfizer, Roche, Seaside Therapeutics, and Sigma-Tau. RvR holds stock in neuroCare Group AG. MA is an unpaid chairman of the nonprofit Brainclinics Foundation, a minority shareholder in neuroCare Group (Munich, Germany), and a coinventor on four patent applications related to electroencephalography, neuromodulation, and psychophysiology but receives no royalties related to these patents; Research Institute Brainclinics received research and consultancy funding from neuroCare Group (Munich, Germany), Brainify.ai (United States), and Urgotech (France) and equipment support from Deymed, neuroConn, and Magventure. All other authors report no biomedical financial interests or potential conflicts of interest. Publisher Copyright: © 2022 Society of Biological Psychiatry
PY - 2023/1
Y1 - 2023/1
N2 - Background: Attention-deficit/hyperactivity disorder is characterized by neurobiological heterogeneity, possibly explaining why not all patients benefit from a given treatment. As a means to select the right treatment (stratification), biomarkers may aid in personalizing treatment prescription, thereby increasing remission rates. Methods: The biomarker in this study was developed in a heterogeneous clinical sample (N = 4249) and first applied to two large transfer datasets, a priori stratifying young males (<18 years) with a higher individual alpha peak frequency (iAPF) to methylphenidate (N = 336) and those with a lower iAPF to multimodal neurofeedback complemented with sleep coaching (N = 136). Blinded, out-of-sample validations were conducted in two independent samples. In addition, the association between iAPF and response to guanfacine and atomoxetine was explored. Results: Retrospective stratification in the transfer datasets resulted in a predicted gain in normalized remission of 17% to 30%. Blinded out-of-sample validations for methylphenidate (n = 41) and multimodal neurofeedback (n = 71) corroborated these findings, yielding a predicted gain in stratified normalized remission of 36% and 29%, respectively. Conclusions: This study introduces a clinically interpretable and actionable biomarker based on the iAPF assessed during resting-state electroencephalography. Our findings suggest that acknowledging neurobiological heterogeneity can inform stratification of patients to their individual best treatment and enhance remission rates.
AB - Background: Attention-deficit/hyperactivity disorder is characterized by neurobiological heterogeneity, possibly explaining why not all patients benefit from a given treatment. As a means to select the right treatment (stratification), biomarkers may aid in personalizing treatment prescription, thereby increasing remission rates. Methods: The biomarker in this study was developed in a heterogeneous clinical sample (N = 4249) and first applied to two large transfer datasets, a priori stratifying young males (<18 years) with a higher individual alpha peak frequency (iAPF) to methylphenidate (N = 336) and those with a lower iAPF to multimodal neurofeedback complemented with sleep coaching (N = 136). Blinded, out-of-sample validations were conducted in two independent samples. In addition, the association between iAPF and response to guanfacine and atomoxetine was explored. Results: Retrospective stratification in the transfer datasets resulted in a predicted gain in normalized remission of 17% to 30%. Blinded out-of-sample validations for methylphenidate (n = 41) and multimodal neurofeedback (n = 71) corroborated these findings, yielding a predicted gain in stratified normalized remission of 36% and 29%, respectively. Conclusions: This study introduces a clinically interpretable and actionable biomarker based on the iAPF assessed during resting-state electroencephalography. Our findings suggest that acknowledging neurobiological heterogeneity can inform stratification of patients to their individual best treatment and enhance remission rates.
KW - ADHD
KW - Biomarker
KW - EEG
KW - Stratified psychiatry
UR - http://www.scopus.com/inward/record.url?scp=85129935066&partnerID=8YFLogxK
U2 - 10.1016/j.bpsc.2022.02.007
DO - 10.1016/j.bpsc.2022.02.007
M3 - Article
C2 - 35240343
VL - 8
SP - 52
EP - 60
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
SN - 2451-9022
IS - 1
ER -
ID: 23556629