본문 바로가기
KERD
논문KCI 등재

Individual-Level Lesion-Network Mapping to Visualize the Effects of a Stroke Lesion on the Brain Network: Connectograms in Stroke Syndromes

1

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

Background and Purpose Similar-sized stroke lesions at similar locations can have different prognoses in clinical practice. Lesion-network mapping elucidates network-level effects of lesions that cause specific neurologic symptoms and signs, and also provides a group-level understanding. This study visualized the effects of stroke lesions on the functional brain networks of individual patients. Methods We enrolled patients with ischemic stroke who were hospitalized within 1 week of the stroke occurrence. Resting-state functional magnetic resonance imaging was performed 3 months after the index stroke. For image preprocessing, acute stroke lesions were visually delineated based on diffusion-weighted images obtained at admission, and the lesion mask was drawn using MRIcron software. Correlation matrices were calculated from 280 brain regions using the Brainnetome Atlas, and connectograms were visualized using in-house MATLAB code. Results We found characteristic differences in connectograms between pairs of patients who had comparable splenial, frontal cortical, cerebellar, and thalamocapsular lesions. Two representative patients with bilateral thalamic infarctions showed significant differences in their reconstructed connectograms. The cognitive function had recovered well at 3 months after stroke occurrence in patients with well-maintained interhemispheric and intrahemispheric connectivities. Conclusions This pilot study has visualized the effects of stroke lesions on the functional brain networks of individual patients. Consideration of the neurobiologic mechanisms underlying the differences between their connectograms has yielded new hypotheses about differences in the effects of stroke lesions.

Abstract

Background and Purpose Similar-sized stroke lesions at similar locations can have different prognoses in clinical practice. Lesion-network mapping elucidates network-level effects of lesions that cause specific neurologic symptoms and signs, and also provides a group-level understanding. This study visualized the effects of stroke lesions on the functional brain networks of individual patients. Methods We enrolled patients with ischemic stroke who were hospitalized within 1 week of the stroke occurrence. Resting-state functional magnetic resonance imaging was performed 3 months after the index stroke. For image preprocessing, acute stroke lesions were visually delineated based on diffusion-weighted images obtained at admission, and the lesion mask was drawn using MRIcron software. Correlation matrices were calculated from 280 brain regions using the Brainnetome Atlas, and connectograms were visualized using in-house MATLAB code. Results We found characteristic differences in connectograms between pairs of patients who had comparable splenial, frontal cortical, cerebellar, and thalamocapsular lesions. Two representative patients with bilateral thalamic infarctions showed significant differences in their reconstructed connectograms. The cognitive function had recovered well at 3 months after stroke occurrence in patients with well-maintained interhemispheric and intrahemispheric connectivities. Conclusions This pilot study has visualized the effects of stroke lesions on the functional brain networks of individual patients. Consideration of the neurobiologic mechanisms underlying the differences between their connectograms has yielded new hypotheses about differences in the effects of stroke lesions.

참고문헌 (30)

  1. Wernicke C, "Disease of the nervous system", pp.265~324 (1908), Appleton
  2. Sporns O, "The human connectome : a structural description of the human brain", PLoS Comput Biol, 1, pp.e42~ (2005)
  3. Fox MD, "Mapping symptoms to brain networks with the human connectome", N Engl J Med, 379, pp.2237~2245 (2018)
  4. Boes AD, "Network localization of neurological symptoms from focal brain lesions", Brain, 138, pp.3061~3075 (2015)
  5. Margulies DS, "Visualizing the human connectome", Neuroimage, 80, pp.445~461 (2013)
  6. Rorden C, "Stereotaxic display of brain lesions", Behav Neurol, 12, pp.191~200 (2000)
  7. Ashburner J, "Unified segmentation", Neuroimage, 26, pp.839~851 (2005)
  8. Friston KJ, "Movement-related effects in fMRI time-series", Magn Reson Med, 35, pp.346~355 (1996)
  9. Muschelli J, "Reduction of motion-related artifacts in resting state fMRI using aCompCor", Neuroimage, 96, pp.22~35 (2014)
  10. Diedrichsen J, "Imaging the deep cerebellar nuclei : a probabilistic atlas and normalization procedure", Neuroimage, 54, pp.1786~1794 (2011)
  11. Fan L, "The human brainnetome atlas : a new brain atlas based on connectional architecture", Cereb Cortex, 26, pp.3508~3526 (2016)
  12. Rubinov M, "Complex network measures of brain connectivity : uses and interpretations", Neuroimage, 52, pp.1059~1069 (2010)
  13. 김범준, "Case Characteristics, Hyperacute Treatment, and Outcome Information from the Clinical Research Center for Stroke-Fifth Division Registry in South Korea", 대한뇌졸중영문학회지, 17(1), pp.38~53 (2015), 대한뇌졸중학회
  14. Lim JS, "A methodological perspective on the longitudinal cognitive change after stroke", Dement Geriatr Cogn Disord, 44, pp.311~319 (2017)
  15. Scheltens P, "A semiquantative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging", J Neurol Sci, 114, pp.7~12 (1993)
  16. Scheltens P, "Atrophy of medial temporal lobes on MRI in"probable"Alzheimer’s disease and normal ageing : diagnostic value and neuropsychological correlates", J Neurol Neurosurg Psychiatry, 55, pp.967~972 (1992)
  17. Duering M, "Incident subcortical infarcts induce focal thinning in connected cortical regions", Neurology, 79, pp.2025~2028 (2012)
  18. Lambert C, "Defining thalamic nuclei and topographic connectivity gradients in vivo", Neuroimage, 158, pp.466~479 (2017)
  19. Reijmer YD, "The effect of lacunar infarcts on white matter tract integrity", Stroke, 44, pp.2019~2021 (2013)
  20. Heinen R, "The cumulative effect of small vessel disease lesions is reflected in structural brain networks of memory clinic patients", Neuroimage Clin, 19, pp.963~969 (2018)
  21. Perry A, "The independent influences of age and education on functional brain networks and cognition in healthy older adults", Hum Brain Mapp, 38, pp.5094~5114 (2017)
  22. Ryu WS, "Stroke outcomes are worse with larger leukoaraiosis volumes", Brain, 140, pp.158~170 (2017)
  23. Ingalhalikar M, "Sex differences in the structural connectome of the human brain", Proc Natl Acad Sci U S A, 111, pp.823~828 (2014)
  24. Crofts JJ, "Network analysis detects changes in the contralesional hemisphere following stroke", Neuroimage, 54, pp.161~169 (2011)
  25. Carrera E, "Diaschisis : past, present, future", Brain, 137, pp.2408~2422 (2014)
  26. Feeney DM, "Diaschisis", Stroke, 17, pp.817~830 (1986)
  27. Gallen CL, "Brain modularity : a biomarker of intervention-related plasticity", Trends Cogn Sci, 23, pp.293~304 (2019)
  28. Grefkes C, "Dynamic intra-and interhemispheric interactions during unilateral and bilateral hand movements assessed with fMRI and DCM", Neuroimage, 41, pp.1382~1394 (2008)
  29. Rehme AK, "Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke", Neuroimage, 55, pp.1147~1158 (2011)
  30. Yang Z, "Genetic and environmental contributions to functional connectivity architecture of the human brain", Cereb Cortex, 26, pp.2341~2352 (2016)

관련 논문AI추천

Stroke Connectome and Its Implications for Cognitive and Behavioral Sequela of StrokeDong-Wha Kang, Jae-Sung Lim대한뇌졸중학회 · 대한뇌졸중영문학회지2015 · 제17권 제3호Post-Stroke Cognitive Impairment: Pathophysiological Insights into Brain Disconnectome from Advanced Neuroimaging Analysis TechniquesChoong-Wan Woo, Jae-Joong Lee, Jae-Sung Lim대한뇌졸중학회 · 대한뇌졸중영문학회지2021 · 제23권 제3호Corpus Callosum Integrity Predicts Functional Outcomes in Acute Stroke: A Probabilistic Structural Connectivity StudyAndrea Morgado-Pérez, Anira Escrichs, Carles Biarnés, Elena de la Calle, Esther Duarte, Jaume Capellades, Josep Puig, Kambiz Nael, Luca Saba, Marc Comas-Cufí, Marian Martí-Navas, Mikel Terceño, Pepus Daunis-i-Estadella, Salvador Pedraza, Santiago Medrano, Víctor Pineda, Yolanda Silva대한뇌졸중학회 · 대한뇌졸중영문학회지2026 · 제28권 제1호Early Functional Connectivity Predicts Recovery from Visual Field Defects after StrokeA-Hyun Cho, Dongho Kim, Dong-Wha Kang, Hyun Taek Lim, Jong S. Kim, Seung Min Kim, Sun U. Kwon, Yong-Hwan Kim대한뇌졸중학회 · 대한뇌졸중영문학회지2019 · 제21권 제2호Dynamic Interactions Between Hemispheres Reveal a Compensatory Pathway for Motor Recovery in Moderate-to-Severe Subcortical StrokeBenjamin Becker, Craig S. Anderson, Hewei Wang, Huaxin Fan, Jianfeng Feng, Jie Zhang, Lili Song, Limin Sun, Mingxia Fan, Nanyu Kuang, Qiurong Yu, Xinran Wu, Zhengxu Lian대한뇌졸중학회 · 대한뇌졸중영문학회지2026 · 제28권 제1호Neural Substrates of Aphasia in Acute Left Hemispheric Stroke Using Voxel-Based Lesion-symptom Brain Mapping김덕용, 김용욱, 남효석, 최효선, Park Eun Ji대한뇌신경재활학회 · 뇌신경재활2021 · 제14권 제2호

이 간행물의 다른 논문 (29건)