1
|
Marchant JK, Ferris NG, Grass D, Allen MS, Gopalakrishnan V, Olchanyi M, Sehgal D, Sheft M, Strom A, Bilgic B, Edlow B, Hillman EMC, Juttukonda MR, Lewis L, Nasr S, Nummenmaa A, Polimeni JR, Tootell RBH, Wald LL, Wang H, Yendiki A, Huang SY, Rosen BR, Gollub RL. Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging - A Symposium Review. Neuroinformatics 2024:10.1007/s12021-024-09686-2. [PMID: 39312131 DOI: 10.1007/s12021-024-09686-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/20/2024] [Indexed: 10/20/2024]
Abstract
Advances in the spatiotemporal resolution and field-of-view of neuroimaging tools are driving mesoscale studies for translational neuroscience. On October 10, 2023, the Center for Mesoscale Mapping (CMM) at the Massachusetts General Hospital (MGH) Athinoula A. Martinos Center for Biomedical Imaging and the Massachusetts Institute of Technology (MIT) Health Sciences Technology based Neuroimaging Training Program (NTP) hosted a symposium exploring the state-of-the-art in this rapidly growing area of research. "Mesoscale Brain Mapping: Bridging Scales and Modalities in Neuroimaging" brought together researchers who use a broad range of imaging techniques to study brain structure and function at the convergence of the microscopic and macroscopic scales. The day-long event centered on areas in which the CMM has established expertise, including the development of emerging technologies and their application to clinical translational needs and basic neuroscience questions. The in-person symposium welcomed more than 150 attendees, including 57 faculty members, 61 postdoctoral fellows, 35 students, and four industry professionals, who represented institutions at the local, regional, and international levels. The symposium also served the training goals of both the CMM and the NTP. The event content, organization, and format were planned collaboratively by the faculty and trainees. Many CMM faculty presented or participated in a panel discussion, thus contributing to the dissemination of both the technologies they have developed under the auspices of the CMM and the findings they have obtained using those technologies. NTP trainees who benefited from the symposium included those who helped to organize the symposium and/or presented posters and gave "flash" oral presentations. In addition to gaining experience from presenting their work, they had opportunities throughout the day to engage in one-on-one discussions with visiting scientists and other faculty, potentially opening the door to future collaborations. The symposium presentations provided a deep exploration of the many technological advances enabling progress in structural and functional mesoscale brain imaging. Finally, students worked closely with the presenting faculty to develop this report summarizing the content of the symposium and putting it in the broader context of the current state of the field to share with the scientific community. We note that the references cited here include conference abstracts corresponding to the symposium poster presentations.
Collapse
Affiliation(s)
- Joshua K Marchant
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
| | - Natalie G Ferris
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
- Harvard Biophysics Graduate Program, Cambridge, MA, USA.
| | - Diana Grass
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Magdelena S Allen
- Massachusetts Institute of Technology, Cambridge, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Vivek Gopalakrishnan
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Mark Olchanyi
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Devang Sehgal
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Maxina Sheft
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Amelia Strom
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
| | - Berkin Bilgic
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Brian Edlow
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Elizabeth M C Hillman
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Radiology, Columbia University, New York, NY, USA
| | - Meher R Juttukonda
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Laura Lewis
- Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Shahin Nasr
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Aapo Nummenmaa
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jonathan R Polimeni
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Roger B H Tootell
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Lawrence L Wald
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Hui Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Anastasia Yendiki
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Susie Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Massachusetts General Hospital, Boston, MA, USA
| | - Bruce R Rosen
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Randy L Gollub
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| |
Collapse
|
2
|
Malladi SN, Skerswetat J, Tootell RB, Gaier ED, Bex P, Hunter DG, Nasr S. Decreased scene-selective activity within the posterior intraparietal cortex in amblyopic adults. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.05.597579. [PMID: 38895262 PMCID: PMC11185631 DOI: 10.1101/2024.06.05.597579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Amblyopia is a developmental disorder associated with reduced performance in visually guided tasks, including binocular navigation within natural environments. To help understand the underlying neurological disorder, we used fMRI to test the impact of amblyopia on the functional organization of scene-selective cortical areas, including the posterior intraparietal gyrus scene-selective (PIGS) area, a recently discovered region that responds selectively to ego-motion within naturalistic environments (Kennedy et al., 2024). Nineteen amblyopic adults (10 female) and thirty age-matched controls (12 female) participated in this study. Amblyopic participants spanned a wide range of amblyopia severity, based on their interocular visual acuity difference and stereoacuity. The visual function questionnaire (VFQ-39) was used to assess the participants' perception of their visual capabilities. Compared to controls, we found weaker scene-selective activity within the PIGS area in amblyopic individuals. By contrast, the level of scene-selective activity across the occipital place area (OPA), parahippocampal place area (PPA), and retrosplenial cortex (RSC)) remained comparable between amblyopic and control participants. The subjects' scores on "general vision" (VFQ-39 subscale) correlated with the level of scene-selective activity in PIGS. These results provide novel and direct evidence for amblyopia-related changes in scene-processing networks, thus enabling future studies to potentially link these changes across the spectrum of documented disabilities in amblyopia.
Collapse
Affiliation(s)
- Sarala N. Malladi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Jan Skerswetat
- Department of Psychology, Northeastern University, Boston, MA, United States
| | - Roger B.H. Tootell
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| | - Eric D. Gaier
- Department of Ophthalmology, Harvard Medical School, Boston, MA, United States
- Department of Ophthalmology, Boston’s Children Hospital, Boston, MA, United States
- Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Peter Bex
- Department of Psychology, Northeastern University, Boston, MA, United States
| | - David G. Hunter
- Department of Ophthalmology, Harvard Medical School, Boston, MA, United States
| | - Shahin Nasr
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
3
|
Kennedy B, Malladi SN, Tootell RBH, Nasr S. A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments. eLife 2024; 13:RP91601. [PMID: 38506719 PMCID: PMC10954307 DOI: 10.7554/elife.91601] [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] [Indexed: 03/21/2024] Open
Abstract
Current models of scene processing in the human brain include three scene-selective areas: the parahippocampal place area (or the temporal place areas), the restrosplenial cortex (or the medial place area), and the transverse occipital sulcus (or the occipital place area). Here, we challenged this model by showing that at least one other scene-selective site can also be detected within the human posterior intraparietal gyrus. Despite the smaller size of this site compared to the other scene-selective areas, the posterior intraparietal gyrus scene-selective (PIGS) site was detected consistently in a large pool of subjects (n = 59; 33 females). The reproducibility of this finding was tested based on multiple criteria, including comparing the results across sessions, utilizing different scanners (3T and 7T) and stimulus sets. Furthermore, we found that this site (but not the other three scene-selective areas) is significantly sensitive to ego-motion in scenes, thus distinguishing the role of PIGS in scene perception relative to other scene-selective areas. These results highlight the importance of including finer scale scene-selective sites in models of scene processing - a crucial step toward a more comprehensive understanding of how scenes are encoded under dynamic conditions.
Collapse
Affiliation(s)
- Bryan Kennedy
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestownUnited States
| | - Sarala N Malladi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestownUnited States
| | - Roger BH Tootell
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestownUnited States
- Department of Radiology, Harvard Medical SchoolBostonUnited States
| | - Shahin Nasr
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestownUnited States
- Department of Radiology, Harvard Medical SchoolBostonUnited States
| |
Collapse
|
4
|
Kennedy B, Malladi SN, Tootell RBH, Nasr S. A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments. RESEARCH SQUARE 2024:rs.3.rs-3378081. [PMID: 38260553 PMCID: PMC10802707 DOI: 10.21203/rs.3.rs-3378081/v2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Current models of scene processing in the human brain include three scene-selective areas: the Parahippocampal Place Area (or the temporal place areas; PPA/TPA), the restrosplenial cortex (or the medial place area; RSC/MPA) and the transverse occipital sulcus (or the occipital place area; TOS/OPA). Here, we challenged this model by showing that at least one other scene-selective site can also be detected within the human posterior intraparietal gyrus. Despite the smaller size of this site compared to the other scene-selective areas, the posterior intraparietal gyrus scene-selective (PIGS) site was detected consistently in a large pool of subjects (n=59; 33 females). The reproducibility of this finding was tested based on multiple criteria, including comparing the results across sessions, utilizing different scanners (3T and 7T) and stimulus sets. Furthermore, we found that this site (but not the other three scene-selective areas) is significantly sensitive to ego-motion in scenes, thus distinguishing the role of PIGS in scene perception relative to other scene-selective areas. These results highlight the importance of including finer scale scene-selective sites in models of scene processing - a crucial step toward a more comprehensive understanding of how scenes are encoded under dynamic conditions.
Collapse
Affiliation(s)
- Bryan Kennedy
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Sarala N. Malladi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Roger B. H. Tootell
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| | - Shahin Nasr
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| |
Collapse
|
5
|
Kennedy B, Malladi SN, Tootell RBH, Nasr S. A previously undescribed scene-selective site is the key to encoding ego-motion in naturalistic environments. RESEARCH SQUARE 2024:rs.3.rs-3378081. [PMID: 38260553 PMCID: PMC10802707 DOI: 10.21203/rs.3.rs-3378081/v3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Current models of scene processing in the human brain include three scene-selective areas: the Parahippocampal Place Area (or the temporal place areas; PPA/TPA), the restrosplenial cortex (or the medial place area; RSC/MPA) and the transverse occipital sulcus (or the occipital place area; TOS/OPA). Here, we challenged this model by showing that at least one other scene-selective site can also be detected within the human posterior intraparietal gyrus. Despite the smaller size of this site compared to the other scene-selective areas, the posterior intraparietal gyrus scene-selective (PIGS) site was detected consistently in a large pool of subjects (n=59; 33 females). The reproducibility of this finding was tested based on multiple criteria, including comparing the results across sessions, utilizing different scanners (3T and 7T) and stimulus sets. Furthermore, we found that this site (but not the other three scene-selective areas) is significantly sensitive to ego-motion in scenes, thus distinguishing the role of PIGS in scene perception relative to other scene-selective areas. These results highlight the importance of including finer scale scene-selective sites in models of scene processing - a crucial step toward a more comprehensive understanding of how scenes are encoded under dynamic conditions.
Collapse
Affiliation(s)
- Bryan Kennedy
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Sarala N. Malladi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - Roger B. H. Tootell
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| | - Shahin Nasr
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Radiology, Harvard Medical School, Boston, MA, United States
| |
Collapse
|