1
|
Onishi H, Nagasaka K, Yokota H, Kojima S, Ohno K, Sakurai N, Kodama N, Sato D, Otsuru N. Association between somatosensory sensitivity and regional gray matter volume in healthy young volunteers: a voxel-based morphometry study. Cereb Cortex 2023; 33:2001-2010. [PMID: 35580840 PMCID: PMC9977372 DOI: 10.1093/cercor/bhac188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
Two-point discrimination (2PD) test reflects somatosensory spatial discrimination ability, but evidence on the relationship between 2PD and cortical gray matter (GM) volume is limited. This study aimed to analyze the relationship between cortical GM volume and 2PD threshold in young healthy individuals and to clarify the characteristics of brain structure reflecting the individual differences in somatosensory function. 2PD was measured in 42 healthy (20 females) volunteers aged 20-32 years using a custom-made test system that can be controlled by a personal computer. The 2PD of the right index finger measured with this device has been confirmed to show good reproducibility. T1-weighted images were acquired using a 3-T magnetic resonance imaging scanner for voxel-based morphometry analysis. The mean 2PD threshold was 2.58 ± 0.54 mm. Whole-brain multiple regression analysis of the relationship between 2PD and GM volume showed that a lower 2PD threshold (i.e. better somatosensory function) significantly correlated with decreased GM volume from the middle temporal gyrus to the inferior parietal lobule (IPL) in the contralateral hemisphere. In conclusion, a lower GM volume in the middle temporal gyrus and IPL correlates with better somatosensory function. Thus, cortical GM volume may be a biomarker of somatosensory function.
Collapse
Affiliation(s)
- Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Kazuaki Nagasaka
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Hirotake Yokota
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Sho Kojima
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Ken Ohno
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Noriko Sakurai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Naoki Kodama
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Daisuke Sato
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Health and Sports, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata City, Niigata 950-3198, Japan.,Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| |
Collapse
|
2
|
Choice of Voxel-based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers. Commun Biol 2022; 5:913. [PMID: 36068295 PMCID: PMC9448776 DOI: 10.1038/s42003-022-03880-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 08/23/2022] [Indexed: 11/12/2022] Open
Abstract
Fundamental and clinical neuroscience has benefited tremendously from the development of automated computational analyses. In excess of 600 human neuroimaging papers using Voxel-based Morphometry (VBM) are now published every year and a number of different automated processing pipelines are used, although it remains to be systematically assessed whether they come up with the same answers. Here we examined variability between four commonly used VBM pipelines in two large brain structural datasets. Spatial similarity and between-pipeline reproducibility of the processed gray matter brain maps were generally low between pipelines. Examination of sex-differences and age-related changes revealed considerable differences between the pipelines in terms of the specific regions identified. Machine learning-based multivariate analyses allowed accurate predictions of sex and age, however accuracy differed between pipelines. Our findings suggest that the choice of pipeline alone leads to considerable variability in brain structural markers which poses a serious challenge for reproducibility and interpretation. Four common processing pipelines tested on two Voxel-based Morphometry (VBM) datasets yield considerable variations in results, raising issues on the interpretability and robustness of VBM results.
Collapse
|
3
|
Nagasaka K, Otsuru N, Sato R, Watanabe H, Sakurai N, Ohno K, Kodama N, Onishi H. Cortical signature related to psychometric properties of pain vigilance in healthy individuals: A voxel-based morphometric study. Neurosci Lett 2022; 772:136445. [PMID: 35007688 DOI: 10.1016/j.neulet.2022.136445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/21/2021] [Accepted: 01/03/2022] [Indexed: 10/19/2022]
Abstract
The Pain Vigilance and Awareness Questionnaire (PVAQ) is a questionnaire for non-clinical and clinical cases of patients, such as those suffering from chronic pain. Moreover, it is used for evaluation of two aspects of habitual attention to pain: attention to pain and attention to changes in pain. As the PVAQ assesses two different aspects of attention function, different neural basis may present. However, it remains unclear which brain regions are involved. Here, we performed voxel-based morphometry (VBM) in 30 healthy participants to determine the regional morphology associated with the two attention states. Multiple regression analysis was conducted between each score and the regional grey matter (GM) volume, which revealed that a decreased GM volume in the left anterior insular cortex (AIC) was associated with a higher attention to pain score. In contrast, no brain region was correlated with the attention to changes in pain score. Our VBM results demonstrate that attention to pain scores assessed by PVAQ are associated with morphological features of the left AIC. Moreover, they may contribute to the elucidation of the complex psychological and neurophysiological characteristics of patients with chronic pain.
Collapse
Affiliation(s)
- Kazuaki Nagasaka
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| | - Naofumi Otsuru
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| | - Rui Sato
- Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan
| | - Hiraku Watanabe
- Graduate School, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Division of Physical Therapy and Rehabilitation Medicine, University of Fukui Hospital, 23-3, Matsuoka Shimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui, Japan.
| | - Noriko Sakurai
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| | - Ken Ohno
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| | - Naoki Kodama
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Radiological Technology, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| | - Hideaki Onishi
- Institute for Human Movement and Medical Sciences, Niigata University of Health and Welfare, 1398 Shimami-cho, Kita-Ku, Niigata-City, Niigata 950-3198, Japan; Department of Physical Therapy, Niigata University of Health and Welfare, Niigata City, Niigata 950-3198, Japan.
| |
Collapse
|