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Watters H, Fazili A, Daley L, Belden A, LaGrow TJ, Bolt T, Loui P, Keilholz S. Creative tempo: Spatiotemporal dynamics of the default mode network in improvisational musicians. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.07.588391. [PMID: 38645080 PMCID: PMC11030431 DOI: 10.1101/2024.04.07.588391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The intrinsic dynamics of human brain activity display a recurring pattern of anti-correlated activity between the default mode network (DMN), associated with internal processing and mentation, and task positive regions, associated with externally directed attention. In human functional magnetic resonance imaging (fMRI) data, this anti-correlated pattern is detectable on the infraslow timescale (<0.1 Hz) as a quasi-periodic pattern (QPP). While the DMN is implicated in creativity and musicality in traditional time-averaged functional connectivity studies, no one has yet explored how creative training may alter dynamic spatiotemporal patterns involving the DMN such as QPPs. In the present study, we compare the outputs of two QPP detection approaches, sliding window algorithm and complex principal components analysis (cPCA). We apply both methods to an existing dataset of musicians captured with resting state fMRI, grouped as either classical, improvisational, or minimally trained non-musicians. The original time-averaged functional connectivity (FC) analysis of this dataset used improvisation as a proxy for creative thinking and found that the DMN and visual networks (VIS) display higher connectivity in improvisational musicians. We expand upon this dataset's original study and find that QPP analysis detects convergent results at the group level with both methods. In improvisational musicians, dynamic functional correlation in the group-averaged QPP was found to be increased between the DMN-VIS and DMN-FPN for both the QPP algorithm and complex principal components analysis (cPCA) methods. Additionally, we found an unexpected increase in FC in the group-averaged QPP between the dorsal attention network and amygdala in improvisational musicians; this result was not reported in the original seed-based study of this dataset. The current study represents a novel application of two dynamic FC detection methods with results that replicate and expand upon previous seed-based FC findings. The results show the robustness of both the QPP phenomenon and its detection methods. This study also demonstrates the value of dynamic FC methods in reproducing seed-based findings and their promise in detecting group-wise or individual differences that may be missed by traditional seed-based resting state fMRI studies.
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Affiliation(s)
| | | | - Lauren Daley
- Department of Biomedical Engineering, Emory University/Georgia Institute of Technology
| | | | - T J LaGrow
- Georgia Institute of Technology School of Electrical and Computer Engineering
| | - Taylor Bolt
- Department of Biomedical Engineering, Emory University/Georgia Institute of Technology
| | | | - Shella Keilholz
- Department of Biomedical Engineering, Emory University/Georgia Institute of Technology
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Gao Y, Wu X, Yan Y, Li M, Qin F, Ma M, Yuan X, Yang W, Qiu J. The unity and diversity of verbal and visuospatial creativity: Dynamic changes in hemispheric lateralisation. Hum Brain Mapp 2023; 44:6031-6042. [PMID: 37772359 PMCID: PMC10619400 DOI: 10.1002/hbm.26494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 09/02/2023] [Accepted: 09/14/2023] [Indexed: 09/30/2023] Open
Abstract
The investigation of similarities and differences in the mechanisms of verbal and visuospatial creative thinking has long been a controversial topic. Prior studies found that visuospatial creativity was primarily supported by the right hemisphere, whereas verbal creativity relied on the interaction between both hemispheres. However, creative thinking also involves abundant dynamic features that may have been ignored in the previous static view. Recently, a new method has been developed that measures hemispheric laterality from a dynamic perspective, providing new insight into the exploration of creative thinking. In the present study, dynamic lateralisation index was calculated with resting-state fMRI data. We combined the dynamic lateralisation index with sparse canonical correlation analysis to examine similarities and differences in the mechanisms of verbal and visuospatial creativity. Our results showed that the laterality reversal of the default mode network, fronto-parietal network, cingulo-opercular network and visual network contributed significantly to both verbal and visuospatial creativity and consequently could be considered the common neural mechanisms shared by these creative modes. In addition, we found that verbal creativity relied more on the language network, while visuospatial creativity relied more on the somatomotor network, which can be considered a difference in their mechanism. Collectively, these findings indicated that verbal and visuospatial creativity may have similar mechanisms to support the basic creative thinking process and different mechanisms to adapt to the specific task conditions. These findings may have significant implications for our understanding of the neural mechanisms of different types of creative thinking.
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Affiliation(s)
- Yixin Gao
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Xinran Wu
- Institute of Science and Technology for Brain‐Inspired IntelligenceFudan UniversityShanghaiChina
| | - Yuchi Yan
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Min Li
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Facai Qin
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Mujie Ma
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Xiaoning Yuan
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Wenjing Yang
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU)Ministry of EducationChongqingChina
- Faculty of PsychologySouthwest University (SWU)ChongqingChina
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Cai LM, Shi JY, Dong QY, Wei J, Chen HJ. Aberrant stability of brain functional architecture in cirrhotic patients with minimal hepatic encephalopathy. Brain Imaging Behav 2022; 16:2258-2267. [PMID: 35729463 DOI: 10.1007/s11682-022-00696-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/03/2022] [Indexed: 01/22/2024]
Abstract
To investigate the stability changes of brain functional architecture and the relationship between stability change and cognitive impairment in cirrhotic patients. Fifty-one cirrhotic patients (21 with minimal hepatic encephalopathy (MHE) and 30 without MHE (NHE)) and 29 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging and neurocognitive assessment using the Psychometric Hepatic Encephalopathy Score (PHES). Voxel-wise functional connectivity density (FCD) was calculated as the sum of connectivity strength between one voxel and others within the entire brain. The sliding window correlation approach was subsequently utilized to calculate the FCD dynamics over time. Functional stability (FS) is measured as the concordance of dynamic FCD. From HCs to the NHE and MHE groups, a stepwise reduction of FS was found in the right supramarginal gyrus (RSMG), right middle cingulate cortex, left superior frontal gyrus, and bilateral posterior cingulate cortex (BPCC), whereas a progressive increment of FS was observed in the left middle occipital gyrus (LMOG) and right temporal pole (RTP). The mean FS values in RSMG/LMOG/RTP (r = 0.470 and P = 0.001; r = -0.458 and P = 0.001; and r = -0.384 and P = 0.005, respectively) showed a correlation with PHES in cirrhotic patients. The FS index in RSMG/LMOG/BPCC/RTP showed moderate discrimination potential between the NHE and MHE groups. Changes in FS may be linked to neuropathological bias of cognitive impairment in cirrhotic patients and could serve as potential biomarkers for MHE diagnosis and monitoring the progression of hepatic encephalopathy.
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Affiliation(s)
- Li-Min Cai
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Jia-Yan Shi
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Qiu-Yi Dong
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Jin Wei
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China
| | - Hua-Jun Chen
- Department of Radiology, Fujian Medical University Union Hospital, Fuzhou, 350001, China.
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Jiang W, Merhar SL, Zeng Z, Zhu Z, Yin W, Zhou Z, Wang L, He L, Vannest J, Lin W. Neural alterations in opioid-exposed infants revealed by edge-centric brain functional networks. Brain Commun 2022; 4:fcac112. [PMID: 35602654 PMCID: PMC9117006 DOI: 10.1093/braincomms/fcac112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 03/29/2022] [Accepted: 05/03/2022] [Indexed: 12/02/2022] Open
Abstract
Prenatal opioid exposure has been linked to adverse effects spanning multiple neurodevelopmental domains, including cognition, motor development, attention, and vision. However, the neural basis of these abnormalities is largely unknown. A total of 49 infants, including 21 opioid-exposed and 28 controls, were enrolled and underwent MRI (43 ± 6 days old) after birth, including resting state functional MRI. Edge-centric functional networks based on dynamic functional connections were constructed, and machine-learning methods were employed to identify neural features distinguishing opioid-exposed infants from unexposed controls. An accuracy of 73.6% (sensitivity 76.25% and specificity 69.33%) was achieved using 10 times 10-fold cross-validation, which substantially outperformed those obtained using conventional static functional connections (accuracy 56.9%). More importantly, we identified that prenatal opioid exposure preferentially affects inter- rather than intra-network dynamic functional connections, particularly with the visual, subcortical, and default mode networks. Consistent results at the brain regional and connection levels were also observed, where the brain regions and connections associated with visual and higher order cognitive functions played pivotal roles in distinguishing opioid-exposed infants from controls. Our findings support the clinical phenotype of infants exposed to opioids in utero and may potentially explain the higher rates of visual and emotional problems observed in this population. Finally, our findings suggested that edge-centric networks could better capture the neural differences between opioid-exposed infants and controls by abstracting the intrinsic co-fluctuation along edges, which may provide a promising tool for future studies focusing on investigating the effects of prenatal opioid exposure on neurodevelopment.
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Affiliation(s)
- Weixiong Jiang
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Stephanie L. Merhar
- Perinatal Institute, Division of Neonatology, Cincinnati Children’s Hospital and University of Cincinnati Department of Pediatrics, Cincinnati OH, United States
| | - Zhuohao Zeng
- East Chapel Hill High School, Chapel Hill, North Carolina, United States
| | - Ziliang Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Weiyan Yin
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Zhen Zhou
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Li Wang
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
| | - Lili He
- Department of Radiology, Cincinnati Children’s Hospital and University of Cincinnati, Cincinnati OH, United States
| | - Jennifer Vannest
- Department of Communication Sciences and Disorders, University of Cincinnati, Cincinnati OH, United States
| | - Weili Lin
- Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States
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Gopan K G, Reddy SA, Rao M, Sinha N. Analysis of single channel electroencephalographic signals for visual creativity: A pilot study. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103542] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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