Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan

Koike, Shinsuke; Tanaka, Saori; Okada, Tomohisa; Yamashita, A.; Yamashita, Okito; Asano, Michiko; Maikusa, Norihide; Morita, Kentaro; Okada, Naohiro; Fukunaga, Masaki; Uematsu, Akiko; Togo, Hiroki; Miyazaki, Atsushi; Murata, Katsutoshi; Urushibata, Yuta; Autio, Joonas; Ose, Takayuki; Yoshimoto, Junichiro; Araki, Toshiyuki; Glasser, Matthew F.; Essen, David C. Van; Maruyama, Megumi; Sadato, Norihiro; Kawato, Mitsuo; Kasai, Kazuhiko; Okamoto, Yasumasa; Hanakawa, Takashi; Hayashi, Takuya; Brain,

doi:10.1016/j.nicl.2021.102600

Cited by 45 publications

(47 citation statements)

References 72 publications

(130 reference statements)

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“…All participants also participated in another study, which aimed to construct an MRI open database using a standardized MRI sequence. Details of this study have been described elsewhere ( Koike et al, 2021 ). All participants and parents/guardians of the high school or middle school participants provided written informed consent and the study was approved by the Ethics Committee of the Department of Arts and Sciences, The University of Tokyo (Approval No.…”

Section: Methodsmentioning

confidence: 99%

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Association of Disinhibited Eating and Trait of Impulsivity With Insula and Amygdala Responses to Palatable Liquid Consumption

Nakamura

Koike

2021

Front. Syst. Neurosci.

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Eating behavior is not only influenced by the current energy balance, but also by the behavioral characteristics of eating. One of the recognized eating behavior constructs is ‘disinhibited eating,’ which refers to the tendency to overeat in response to negative emotional states or the presence of highly palatable foods. Food-related disinhibition is involved in binge eating, weight gain, and obesity and is also associated with the trait of impulsivity, which in turn, is linked to weight gain or maladaptive eating. However, the relationships among food-related disinhibition, the trait of impulsivity, and the neural substrates of eating behaviors in adolescence remain unclear. Therefore, we designed a functional magnetic resonance imaging (fMRI) study to examine the associations between brain responses to palatable liquid consumption and disinhibited eating behavior or impulsivity in healthy adolescents. Thirty-four adolescents (mean age ± standard deviation = 17.12 ± 1.91 years, age range = 14–19 years, boys = 15, girls = 19) participated in this study. Disinhibited eating was assessed with the disinhibition subscale of the Three-Factor Eating Questionnaire, while impulsivity was assessed using the Barratt impulsiveness scale. Participants received two fMRI sessions−a palatable liquid consumption fMRI and a resting-state fMRI. The fMRI experiment showed that increased disinhibited eating was positively associated with a greater insular response to palatable liquid consumption, while increased impulsivity was positively correlated with a greater amygdala response. The resting-state fMRI experiment showed that increased disinhibited eating was positively correlated with strengthened intrinsic functional connectivity between the insula and the amygdala, adjusting for sex (estimates of the beta coefficients = 0.146, standard error = 0.068, p = 0.040). Given that the amygdala and insular cortex are structurally and functionally connected and involved in trait impulsivity and ingestive behavior, our findings suggest that increased disinhibited eating would be associated with impulsivity via strengthened intrinsic functional connectivity between the insula and amygdala and linked to maladaptive eating.

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Section: Methodsmentioning

confidence: 99%

“…All participants underwent two fMRI scans: a flavor stimulus fMRI scan and an rs-fMRI scan. Since participants underwent the rs-fMRI scan as a part of another study ( Koike et al, 2021 ), each fMRI scan was performed on different days. The order of the scans was randomized for each participant and each scan was performed within a month.…”

Section: Methodsmentioning

confidence: 99%

Association of Disinhibited Eating and Trait of Impulsivity With Insula and Amygdala Responses to Palatable Liquid Consumption

Nakamura

Koike

2021

Front. Syst. Neurosci.

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“…The Brain/MINDS Beyond Human Brain MRI project (BMB-HBM, FY2018~FY2023) is a national project in Japan, which aims to establish clinically relevant imaging biomarkers. 41 Data collection in psychiatric and neurological disorders across the lifespan has also been scheduled initially Advances of MRI Studies in Schizophrenia at 13 sites where measurement machines and multi-modal scan procedures have been fixed beforehand (Fig. 2).…”

Section: Mri Scans For the Target Identification In Brain Stimulation Studiesmentioning

confidence: 99%

“…Considering genetic contribution to brain and disease, [11][12][13][14][15][16][17][18][19][20][21][22] brain development and aging through the life course, [23][24][25][26] progressive brain pathology around the onset, [4][5][6][7][27][28][29] and common and disease-specific features of the brain characteristics [15][16][17]22,[30][31][32][33] could provide novel insights into understanding this complex condition in schizophrenia. Technical advances in brain measurement and image analysis, such as multi-shell diffusion-weighted imaging (DWI), [34][35][36] proton magnetic resonance spectroscopy ( 1 H-MRS), 10,37 multi-modal neuroimage preprocessing and analyses, [38][39][40][41] and harmonizing methods for multi-site datasets, [42][43][44] can help elucidate pathophysiology and identify neurobiological predictors of schizophrenia in clinical research.…”

Section: Introductionmentioning

confidence: 99%

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools

et al. 2022

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Schizophrenia is a common severe psychiatric disorder that affects approximately 1% of general population through the life course. Historically, in Kraepelin's time, schizophrenia was a disease unit conceptualized as dementia praecox; however, since then, the disease concept has changed. Recent MRI studies had shown that the neuropathology of the brain in this disorder was characterized by mild progression before and after the onset of the disease, and that the brain alterations were relatively smaller than assumed. Although genetic factors contribute to the brain alterations in schizophrenia, which are thought to be trait differences, other changes include factors that are common in psychiatric diseases. Furthermore, it has been shown that the brain differences specific to schizophrenia were relatively small compared to other changes, such as those caused by brain development, aging, and gender. In addition, compared to the disease and participant factors, machine and imaging protocol differences could affect MRI signals, which should be addressed in multi-site studies. Recent advances in MRI modalities, such as multi-shell diffusion-weighted imaging, magnetic resonance spectroscopy, and multimodal brain imaging analysis, may be candidates to sharpen the characterization of schizophrenia-specific factors and provide new insights. The Brain/MINDS Beyond Human Brain MRI (BMB-HBM) project has been launched considering the differences and noises irrespective of the disease pathologies and includes the future perspectives of MRI studies for various psychiatric and neurological disorders. The sites use restricted MRI machines and harmonized multi-modal protocols, standardized image preprocessing, and traveling subject harmonization. Data sharing to the public will be planned in FY 2024. In the future, we believe that combining a high-quality human MRI dataset with genetic data, randomized controlled trials, and MRI for non-human primates and animal models will enable us to understand schizophrenia, elucidate its neural bases and therapeutic targets, and provide tools for clinical application at bedside.

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“…These differences include scanner manufacturer, image‐acquisition protocol, scanner coil, and field strength differences. Each of these can cause unwanted measurement biases that can negatively influence the reproducibility of the results and the ability to detect disease‐related changes (He, Byge, & Kennedy, 2020; Koike et al, 2021; Ma et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics

Maikusa

Zhu

Uematsu

et al. 2021

Human Brain Mapping

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Multisite magnetic resonance imaging (MRI) is increasingly used in clinical research and development. Measurement biases—caused by site differences in scanner/image‐acquisition protocols—negatively influence the reliability and reproducibility of image‐analysis methods. Harmonization can reduce bias and improve the reproducibility of multisite datasets. Herein, a traveling‐subject (TS) dataset including 56 T1‐weighted MRI scans of 20 healthy participants in three different MRI procedures—20, 19, and 17 subjects in Procedures 1, 2, and 3, respectively—was considered to compare the reproducibility of TS‐GLM, ComBat, and TS‐ComBat harmonization methods. The minimum participant count required for harmonization was determined, and the Cohen's d between different MRI procedures was evaluated as a measurement‐bias indicator. The measurement‐bias reduction realized with different methods was evaluated by comparing test–retest scans for 20 healthy participants. Moreover, the minimum subject count for harmonization was determined by comparing test–retest datasets. The results revealed that TS‐GLM and TS‐ComBat reduced measurement bias by up to 85 and 81.3%, respectively. Meanwhile, ComBat showed a reduction of only 59.0%. At least 6 TSs were required to harmonize data obtained from different MRI scanners, complying with the imaging protocol predetermined for multisite investigations and operated with similar scan parameters. The results indicate that TS‐based harmonization outperforms ComBat for measurement‐bias reduction and is optimal for MRI data in well‐prepared multisite investigations. One drawback is the small sample size used, potentially limiting the applicability of ComBat. Investigation on the number of subjects needed for a large‐scale study is an interesting future problem.

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Brain/MINDS beyond human brain MRI project: A protocol for multi-level harmonization across brain disorders throughout the lifespan

Cited by 45 publications

References 72 publications

Association of Disinhibited Eating and Trait of Impulsivity With Insula and Amygdala Responses to Palatable Liquid Consumption

Association of Disinhibited Eating and Trait of Impulsivity With Insula and Amygdala Responses to Palatable Liquid Consumption

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools

Comparison of traveling‐subject and ComBat harmonization methods for assessing structural brain characteristics

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