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Hiroshi Matsuda

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16 papers

2 author rows

YNICL Journal 2019 Journal Article

Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis

Kenichiro Sato
Tatsuo Mano
Hiroshi Matsuda
Michio Senda
Ryoko Ihara
Kazushi Suzuki
Hiroyuki Arai
Kenji Ishii

OBJECTIVE: We aimed to identify modularized structural atrophy of brain regions with a high degree of connectivity and its longitudinal changes associated with the progression of Alzheimer's disease (AD) using weighted gene co-expression network analysis (WGCNA), which is an unsupervised hierarchical clustering method originally used in genetic analysis. METHODS: We included participants with late mild cognitive impairment (MCI) at baseline from the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) study. We imputed normalized and Z-transformed structural volume or cortical thickness data of 164 parcellated brain regions/structures based on the calculations of the FreeSurfer software. We applied the WGCNA to extract modules with highly interconnected structural atrophic patterns and examined the correlation between the identified modules and clinical AD progression. RESULTS: We included 204 participants from the baseline dataset, and performed a follow-up with 100 in the 36-month dataset of MCI cohort participants from the J-ADNI. In the univariate correlation or variable importance analysis, baseline atrophy in temporal lobe regions/structures significantly predicted clinical AD progression. In the WGCNA consensus analysis, co-atrophy modules associated with MCI conversion were first distributed in the temporal lobe and subsequently extended to adjacent parietal cortical regions in the following 36 months. CONCLUSIONS: We identified coordinated modules of brain atrophy and demonstrated their longitudinal extension along with the clinical course of AD progression using WGCNA, which showed a good correspondence with previous pathological studies of the tau propagation theory. Our results suggest the potential applicability of this methodology, originating from genetic analyses, for the surrogate visualization of the underlying pathological progression in neurodegenerative diseases not limited to AD.

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YNICL Journal 2018 Journal Article

Abnormal neurite density and orientation dispersion in unilateral temporal lobe epilepsy detected by advanced diffusion imaging

Daichi Sone
Noriko Sato
Miho Ota
Norihide Maikusa
Yukio Kimura
Hiroshi Matsuda

BACKGROUND: Despite recent advances in diffusion MRI (dMRI), there is still limited information on neurite orientation dispersion and density imaging (NODDI) in temporal lobe epilepsy (TLE). This study aimed to demonstrate neurite density and dispersion in TLE with and without hippocampal sclerosis (HS) using whole-brain voxel-wise analyses. MATERIAL AND METHODS: F-fluorodeoxyglucose positron emission tomography (FDG-PET)-positive patients (MRI-/PET+ TLE). The NODDI toolbox calculated the intracellular volume fraction (ICVF) and orientation dispersion index (ODI). Conventional dMRI metrics, that is, fractional anisotropy (FA) and mean diffusivity (MD), were also estimated. After spatial normalization, all dMRI parameters (ICVF, ODI, FA, and MD) of the patients were compared with those of age- and sex-matched healthy controls using Statistical Parametric Mapping 12 (SPM12). As a complementary analysis, we added an atlas-based region of interest (ROI) analysis of relevant white matter tracts using tract-based spatial statistics. RESULTS: We found decreased neurite density mainly in the ipsilateral temporal areas of both right and left TLE, with the right TLE showing more severe and widespread abnormalities. In addition, etiology-specific analyses revealed a localized reduction in ICVF (i.e., neurite density) in the ipsilateral temporal pole in MRI-/PET+ TLE, whereas TLE-HS presented greater abnormalities, including FA and MD, in addition to a localized hippocampal reduction in ODI. The results of the atlas-based ROI analysis were consistent with the results of the SPM12 analysis. CONCLUSION: NODDI may provide clinically relevant information as well as novel insights into the field of TLE. Particularly, in MRI-/PET+ TLE, neurite density imaging may have higher sensitivity than other dMRI parameters. The results may also contribute to better understanding of the pathophysiology of TLE with HS.

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YNICL Journal 2016 Journal Article

Automated subfield volumetric analysis of hippocampus in temporal lobe epilepsy using high-resolution T2-weighed MR imaging

Daichi Sone
Noriko Sato
Norihide Maikusa
Miho Ota
Kaoru Sumida
Kota Yokoyama
Yukio Kimura
Etsuko Imabayashi

BACKGROUND AND PURPOSE: Automated subfield volumetry of hippocampus is desirable for use in temporal lobe epilepsy (TLE), but its utility has not been established. Automatic segmentation of hippocampal subfields (ASHS) and the new version of FreeSurfer software (ver.6.0) using high-resolution T2-weighted MR imaging are candidates for this volumetry. The aim of this study was to evaluate hippocampal subfields in TLE patients using ASHS as well as the old and new versions of FreeSurfer. MATERIALS AND METHODS: We recruited 50 consecutive unilateral TLE patients including 25 with hippocampal sclerosis (TLE-HS) and 25 without obvious etiology (TLE-nonHS). All patients and 45 healthy controls underwent high-resolution T2-weighted and 3D-volume T1-weighted MRI scanning. We analyzed all of their MR images by FreeSurfer ver.5.3, ver.6.0 and ASHS. For each subfield, normalized z-scores were calculated and compared among groups. RESULTS: In TLE-HS groups, ASHS and FreeSurfer ver.6.0 revealed maximal z-scores in ipsilateral cornu ammonis (CA) 1, CA4 and dentate gyrus (DG), whereas in FreeSurfer ver.5.3 ipsilateral subiculum showed maximal z-scores. In TLE-nonHS group, there was no significant volume reduction by either ASHS or FreeSurfer. CONCLUSIONS: ASHS and the new version of FreeSurfer may have an advantage in compatibility with existing histopathological knowledge in TLE patients with HS compared to the old version of FreeSurfer (ver.5.3), although further investigations with pathological findings and/or surgical outcomes are desirable.

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YNICL Journal 2013 Journal Article

In vivo evaluation of gray and white matter volume loss in the parkinsonian variant of multiple system atrophy using SPM8 plus DARTEL for VBM

Yoko Shigemoto
Hiroshi Matsuda
Kouhei Kamiya
Norihide Maikusa
Yasuhiro Nakata
Kimiteru Ito
Miho Ota
Naofumi Matsunaga

In multiple system atrophy with predominant parkinsonism (MSA-P), several voxel-based morphometry (VBM) studies have revealed gray matter loss; however, the white matter volume changes have been rarely reported. We investigated the volume changes of white matter as well as gray matter by VBM. A retrospective MRI study was performed in 20 patients with MSA-P and 30 age-matched healthy controls. We applied VBM with statistical parametric mapping (SPM8) plus diffeomorphic anatomical registration through exponentiated Lie algebra (DARTEL) to explore the regional atrophy of gray and white matter in all of the MSA-P patients, 14 patients with left-side dominant and 6 patients with right-side dominant onset as compared to controls. In all of the MSA-P patients, VBM revealed a significant volume reduction of gray matter in the bilateral putamina, cerebellums and dorsal midbrain. White matter loss was located in bilateral globus pallidi, external capsules extending to the midbrain, right subcortical to precentral area through internal capsule, the pons, bilateral middle cerebellar peduncles and left cerebellum. In left-side dominant MSA-P patients, the gray and white matter volume loss was detected predominantly on the right side and vice versa in right-side dominant MSA-P patients. A correlation with disease duration and severity was not detected. VBM using SPM8 plus DARTEL detected significant volume loss not only in the gray but also in the white matter of the area affected by MSA-P.

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ICRA Conference 2011 Conference Paper

Behavior recognition in laboratory mice using HFR video analysis

Yuman Nie
Takeshi Takaki
Idaku Ishii
Hiroshi Matsuda

Abstract-In this paper, we propose an automatic behavior recognition algorithm for laboratory mice to determine their typical model behaviors and hence detect the degrees of diseases via animal testings for behavioral pharmacology. The algorithm can quantify several model behaviors of mice by detecting the repetitive motions of fore or hind limbs at several hertz; these motions, too rapid for the naked eye and the NTSC cameras, are captured on a high-frame-rate video. Even when a mouse changes its position and orientation, the algorithm can always detect these repetitive motions as periodic frame differential image features on four segmented regions-head, left side, right side, and tail-because the silhouette image of a mouse is converted in the polar coordinate system as its shift and rotation-invariant shape by detecting the positions of its head and tail. The effectiveness of the algorithm is evaluated for six typical model behaviors, including scratching and grooming, by analyzing the experimental results for several laboratory mice, obtained by capturing long-term videos at 240 fps. We have provided the detection/correction ratios and compared the time durations of the model behaviors of these mice.

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IROS Conference 2008 Conference Paper

Development of rotary-linear piezoelectric actuator for MRI compatible manipulator

Tomoaki Mashimo
Shigeki Toyama
Hiroshi Matsuda

This paper presents the development of rotary and linear piezoelectric actuator (rotary-linear motor) for a surgical manipulator with MRI compatibility. The stator of the rotary-linear motor is fabricated as a single metallic cube with a through-hole and shaft is inserted to the through-hole. Four piezoelectric elements are bonded to the sides of the stator. When AC voltage at each resonant frequency is applied to the piezoelectric elements, the shaft can move to the rotary and linear directions. There are several control inputs such as the voltage, the frequency, and the phase difference of two AC voltages to control the motor. We have measured the characteristics of the control inputs. As the result, the control characteristics of voltages were linear and were better than those of the frequency and phase difference. On the other hand, the MRI compatibility test was conducted in 0. 3 Tesla MRI. MRI image shows the practical quality of the image in the case of that the motor is placed at the center of the imaging volume of MRI while the motor is not driven.

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YNIMG Journal 2006 Journal Article

Changes in cerebral glucose utilization in patients with panic disorder treated with cognitive–behavioral therapy

Yojiro Sakai
Hiroaki Kumano
Masami Nishikawa
Yuji Sakano
Hisanobu Kaiya
Etsuko Imabayashi
Takashi Ohnishi
Hiroshi Matsuda

Several neuroanatomical hypotheses of panic disorder have been proposed focusing on the significant role of the amygdala and PAG-related “panic neurocircuitry. ” Although cognitive–behavioral therapy is effective in patients with panic disorder, its therapeutic mechanism of action in the brain remains unclear. The present study was performed to investigate regional brain glucose metabolic changes associated with successful completion of cognitive–behavioral therapy in panic disorder patients. The regional glucose utilization in patients with panic disorder was compared before and after cognitive–behavioral therapy using positron emission tomography with 18F-fluorodeoxyglucose. In 11 of 12 patients who showed improvement after cognitive–behavioral therapy, decreased glucose utilization was detected in the right hippocampus, left anterior cingulate, left cerebellum, and pons, whereas increased glucose utilization was seen in the bilateral medial prefrontal cortices. Significant correlations were found between the percent change relative to the pretreatment value of glucose utilization in the left medial prefrontal cortex and those of anxiety and agoraphobia-related subscale of the Panic Disorder Severity Scale, and between that of the midbrain and that of the number of panic attacks during the 4 weeks before each scan in all 12 patients. The completion of successful cognitive–behavioral therapy involved not only reduction of the baseline hyperactivity in several brain areas but also adaptive metabolic changes of the bilateral medial prefrontal cortices in panic disorder patients.

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YNIMG Journal 2006 Journal Article

Impaired self-awareness and theory of mind: An fMRI study of mentalizing in alexithymia

Yoshiya Moriguchi
Takashi Ohnishi
Richard D. Lane
Motonari Maeda
Takeyuki Mori
Kiyotaka Nemoto
Hiroshi Matsuda
Gen Komaki

Alexithymic individuals have difficulty in recognizing and describing emotions in themselves. We investigated the neuronal basis of mentalizing in alexithymia to determine whether there is a common neuronal substrate associated with knowing the mental states of the self and others. Individuals high in alexithymia (n = 16) and low in alexithymia (n = 14) were selected from a pool of 310 college students using a combination of the Toronto Alexithymia Scale (TAS-20) and the Structured Interview version of the Beth Israel Questionnaire (SIBIQ). We compared the two groups on psychological measures, including ratings of mentalizing and the Interpersonal Reactivity Index (IRI), and regional brain activation using functional magnetic resonance imaging (fMRI) during a mentalizing animation task. The results for both groups showed activation in regions associated with mentalizing: medial prefrontal cortices (MPFC), temporo-parietal junctions (TPJ), and the temporal pole (TP). Alexithymics had lower mentalizing and IRI perspective-taking scores and less activation in the right MPFC. Activity in the MPFC was positively correlated with the mentalizing score and the IRI perspective-taking score. Although there were no group differences in cerebral activity in the TPJ and the TP, the activity in the right TP had a positive correlation with mentalizing and IRI personal distress scores. These results suggest that alexithymic individuals have an impairment in mentalizing associated with an inability to take the perspective of others. Thus, the skills involved in comprehending the self and others are inter-related and play an important role in emotion regulation.

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YNIMG Journal 2006 Journal Article

Relationship between antisocial behavior and regional cerebral blood flow in frontotemporal dementia

Seigo Nakano
Takashi Asada
Fumio Yamashita
Noriko Kitamura
Hiroshi Matsuda
Shigeo Hirai
Tatsuo Yamada

Objective: To examine the relationship between antisocial behaviors and reduction of regional cerebral blood flow (rCBF) in patients with frontotemporal dementia (FTD). Methods: Brain perfusion single photon emission computed tomography (SPECT) was performed in 22 patients with FTD and 76 age-matched healthy volunteers. The statistical analysis was conducted using the SPM99 software. The antisocial behavioral symptoms were assessed independently by three geriatric psychiatrists, who had not been given the information of the SPECT images. Results: Compared with normal controls, FTD patients showed significant reduction of rCBF in the widespread frontal cortical areas. The correlation analysis showed that antisocial behavioral symptoms are associated with reduction of rCBF in the orbitofrontal cortex. Conclusion: The functional decline of orbitofrontal cortex is related to antisocial behavioral symptoms in patients with FTD.

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YNIMG Journal 2005 Journal Article

The prediction of rapid conversion to Alzheimer's disease in mild cognitive impairment using regional cerebral blood flow SPECT

Kentaro Hirao
Takashi Ohnishi
Yoko Hirata
Fumio Yamashita
Takeyuki Mori
Yoshiya Moriguchi
Hiroshi Matsuda
Kiyotaka Nemoto

Mild cognitive impairment (MCI) comprises a heterogeneous group with a variety of clinical outcomes and they are at risk for developing Alzheimer's disease (AD). The prediction of conversion from MCI to AD using the initial neuroimaging studies is an important research topic. We investigated the initial regional cerebral blood flow (rCBF) measurements using single photon emission computed tomography (SPECT) in individuals with 76 amnesic MCI (52 subjects converted to AD and 24 subjects did not convert to AD at 3-year follow-up) and 57 age- and gender-matched controls. We sought functional profiles associated with conversion to AD, then evaluated the predictive value of the initial rCBF SPECT. As compared with controls, AD converters demonstrated reduced blood flow in the bilateral parahippocampal gyri, precunei, posterior cingulate cortices, bilateral parietal association areas, and the right middle temporal gyrus. Non-converters also demonstrated significant reduction of rCBF in the posterior cingulated cortices and the right caudate nucleus when compared to controls. As compared with non-converters, converters showed reductions of rCBF in the bilateral temporo-parietal areas and the precunei. The logistic regression model revealed that reduced rCBF in the inferior parietal lobule, angular gyrus, and precunei has high predictive value and discriminative ability. Although a cross-validation study is needed to conclude the usefulness of rCBF SPECT for the prediction of AD conversion in individuals with MCI, our data suggest that the initial rCBF SPECT studies of individuals with MCI may be useful in predicting who will convert to AD in the near future.

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YNIMG Journal 2003 Journal Article

Stepping stone sampling for retrieving artifact-free electroencephalogram during functional magnetic resonance imaging

Kimitaka Anami
Takeyuki Mori
Fumiko Tanaka
Yusuke Kawagoe
Jun Okamoto
Masaru Yarita
Takashi Ohnishi
Masato Yumoto

Ballistocardiogram and imaging artifacts cause major interference with simultaneous electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) recording. In particular, the large amplitude of the imaging artifact precludes easy retrieval of EEG signals during fMRI scanning. Recording with 20, 000-Hz digitization rate combined with 3000-Hz low-pass filter revealed the real waveform of the imaging artifact, in which it was elucidated that each artifact peak precisely corresponded to each gradient component and actually had differential waveforms of the original gradient pulses. Based on this finding, to retrieve EEG signal during fMRI acquisition, a blip-type echo planar sequence was modified so that EEG sampling might be performed at every 1000 μs (digitization rate 1000 Hz) exclusively in the period in which the artifact resided around the baseline level. This method, called “stepping stone sampling, ” substantially attenuated the amplitude of the imaging artifact. The remnant of the artifact was subtracted from the averaged artifact waveform. In human studies, α activity was successfully retrieved by inspection, and its attenuation/augmentation was observed during eyes open/closed periods. Fast Fourier transform analysis further revealed that even from DC up to 120 Hz, retrieved EEG data during scanning had very similar power distributions to the data retrieved during no scanning, implying the availability of the high-frequency band of the retrieved EEG signals, including even the γ band.

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