1
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Demeter DV, Greene DJ. The promise of precision functional mapping for neuroimaging in psychiatry. Neuropsychopharmacology 2024:10.1038/s41386-024-01941-z. [PMID: 39085426 DOI: 10.1038/s41386-024-01941-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 06/14/2024] [Accepted: 07/17/2024] [Indexed: 08/02/2024]
Abstract
Precision functional mapping (PFM) is a neuroimaging approach to reliably estimate metrics of brain function from individual people via the collection of large amounts of fMRI data (hours per person). This method has revealed much about the inter-individual variation of functional brain networks. While standard group-level studies, in which we average brain measures across groups of people, are important in understanding the generalizable neural underpinnings of neuropsychiatric disorders, many disorders are heterogeneous in nature. This heterogeneity often complicates clinical care, leading to patient uncertainty when considering prognosis or treatment options. We posit that PFM methods may help streamline clinical care in the future, fast-tracking the choice of personalized treatment that is most compatible with the individual. In this review, we provide a history of PFM studies, foundational results highlighting the benefits of PFM methods in the pursuit of an advanced understanding of individual differences in functional network organization, and possible avenues where PFM can contribute to clinical translation of neuroimaging research results in the way of personalized treatment in psychiatry.
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Affiliation(s)
- Damion V Demeter
- Department of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
| | - Deanna J Greene
- Department of Cognitive Science, University of California San Diego, La Jolla, CA, USA.
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2
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Wang Z, Tan Q, Frank SM, Sasaki Y, Sheinberg D, Phillips KA, Watanabe T. Learning of the same task subserved by substantially different mechanisms between patients with body dysmorphic disorder and healthy individuals. Cereb Cortex 2024; 34:bhae215. [PMID: 38798001 PMCID: PMC11128689 DOI: 10.1093/cercor/bhae215] [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: 01/02/2024] [Revised: 04/18/2024] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
It has remained unclear whether individuals with psychiatric disorders involving altered visual processing employ similar neuronal mechanisms during perceptual learning of a visual task. We investigated this question by training patients with body dysmorphic disorder, a psychiatric disorder characterized by distressing or impairing preoccupation with nonexistent or slight defects in one's physical appearance, and healthy controls on a visual detection task for human faces with low spatial frequency components. Brain activation during task performance was measured with functional magnetic resonance imaging before the beginning and after the end of behavioral training. Both groups of participants improved performance on the trained task to a similar extent. However, neuronal changes in the fusiform face area were substantially different between groups such that activation for low spatial frequency faces in the right fusiform face area increased after training in body dysmorphic disorder patients but decreased in controls. Moreover, functional connectivity between left and right fusiform face area decreased after training in patients but increased in controls. Our results indicate that neuronal mechanisms involved in perceptual learning of a face detection task differ fundamentally between body dysmorphic disorder patients and controls. Such different neuronal mechanisms in body dysmorphic disorder patients might reflect the brain's adaptations to altered functions imposed by the psychiatric disorder.
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Affiliation(s)
- Zhiyan Wang
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, United States
- Institute for Psychology, University of Regensburg, Universitätsstraße 31, Regensburg Bavaria 93053, Germany
| | - Qingleng Tan
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, United States
| | - Sebastian M Frank
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, United States
- Institute for Psychology, University of Regensburg, Universitätsstraße 31, Regensburg Bavaria 93053, Germany
| | - Yuka Sasaki
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, United States
| | - David Sheinberg
- Warren Alpert Medical School, Brown University, 222 Richmond Street, Providence, RI 02903, United States
- Department of Neuroscience, Brown University, 185 Meeting Street, Providence, RI 02912, United States
| | - Katharine A Phillips
- Warren Alpert Medical School, Brown University, 222 Richmond Street, Providence, RI 02903, United States
- Present address: Department of Psychiatry, Weill Cornell Medicine, Cornell University, 15 E 62nd Street 5th Floor, New York, NY 10065, United States
| | - Takeo Watanabe
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer Street, Providence, RI 02912, United States
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3
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Williams JC, Tubiolo PN, Zheng ZJ, Silver-Frankel EB, Pham DT, Haubold NK, Abeykoon SK, Abi-Dargham A, Horga G, Van Snellenberg JX. Functional Localization of the Human Auditory and Visual Thalamus Using a Thalamic Localizer Functional Magnetic Resonance Imaging Task. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.28.591516. [PMID: 38746171 PMCID: PMC11092475 DOI: 10.1101/2024.04.28.591516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Functional magnetic resonance imaging (fMRI) of the auditory and visual sensory systems of the human brain is an active area of investigation in the study of human health and disease. The medial geniculate nucleus (MGN) and lateral geniculate nucleus (LGN) are key thalamic nuclei involved in the processing and relay of auditory and visual information, respectively, and are the subject of blood-oxygen-level-dependent (BOLD) fMRI studies of neural activation and functional connectivity in human participants. However, localization of BOLD fMRI signal originating from neural activity in MGN and LGN remains a technical challenge, due in part to the poor definition of boundaries of these thalamic nuclei in standard T1-weighted and T2-weighted magnetic resonance imaging sequences. Here, we report the development and evaluation of an auditory and visual sensory thalamic localizer (TL) fMRI task that produces participant-specific functionally-defined regions of interest (fROIs) of both MGN and LGN, using 3 Tesla multiband fMRI and a clustered-sparse temporal acquisition sequence, in less than 16 minutes of scan time. We demonstrate the use of MGN and LGN fROIs obtained from the TL fMRI task in standard resting-state functional connectivity (RSFC) fMRI analyses in the same participants. In RSFC analyses, we validated the specificity of MGN and LGN fROIs for signals obtained from primary auditory and visual cortex, respectively, and benchmark their performance against alternative atlas- and segmentation-based localization methods. The TL fMRI task and analysis code (written in Presentation and MATLAB, respectively) have been made freely available to the wider research community.
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4
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Rossion B, Jacques C, Jonas J. The anterior fusiform gyrus: The ghost in the cortical face machine. Neurosci Biobehav Rev 2024; 158:105535. [PMID: 38191080 DOI: 10.1016/j.neubiorev.2024.105535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 01/10/2024]
Abstract
Face-selective regions in the human ventral occipito-temporal cortex (VOTC) have been defined for decades mainly with functional magnetic resonance imaging. This face-selective VOTC network is traditionally divided in a posterior 'core' system thought to subtend face perception, and regions of the anterior temporal lobe as a semantic memory component of an extended general system. In between these two putative systems lies the anterior fusiform gyrus and surrounding sulci, affected by magnetic susceptibility artifacts. Here we suggest that this methodological gap overlaps with and contributes to a conceptual gap between (visual) perception and semantic memory for faces. Filling this gap with intracerebral recordings and direct electrical stimulation reveals robust face-selectivity in the anterior fusiform gyrus and a crucial role of this region, especially in the right hemisphere, in identity recognition for both familiar and unfamiliar faces. Based on these observations, we propose an integrated theoretical framework for human face (identity) recognition according to which face-selective regions in the anterior fusiform gyrus join the dots between posterior and anterior cortical face memories.
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Affiliation(s)
- Bruno Rossion
- Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France; Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000 Nancy, France.
| | | | - Jacques Jonas
- Université de Lorraine, CNRS, IMoPA, F-54000 Nancy, France; Université de Lorraine, CHRU-Nancy, Service de Neurologie, F-54000 Nancy, France
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5
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Lee JJ, Scott TL, Perrachione TK. Efficient functional localization of language regions in the brain. Neuroimage 2024; 285:120489. [PMID: 38065277 PMCID: PMC10999251 DOI: 10.1016/j.neuroimage.2023.120489] [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: 01/30/2023] [Revised: 11/25/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
Abstract
Important recent advances in the cognitive neuroscience of language have been made using functional localizers to demarcate language-selective regions in individual brains. Although single-subject localizers offer insights that are unavailable in classic group analyses, they require additional scan time that imposes costs on investigators and participants. In particular, the unique practical challenges of scanning children and other special populations has led to less adoption of localizers for neuroimaging research with these theoretically and clinically important groups. Here, we examined how measurements of the spatial extent and functional response profiles of language regions are affected by the duration of an auditory language localizer. We compared how parametrically smaller amounts of data collected from one scanning session affected (i) consistency of group-level whole-brain parcellations, (ii) functional selectivity of subject-level activation in individually defined functional regions of interest (fROIs), (iii) sensitivity and specificity of subject-level whole-brain and fROI activation, and (iv) test-retest reliability of subject-level whole-brain and fROI activation. For many of these metrics, the localizer duration could be reduced by 50-75% while preserving the stability and reliability of both the spatial extent and functional response profiles of language areas. These results indicate that, for most measures relevant to cognitive neuroimaging studies, the brain's language network can be localized just as effectively with 3.5 min of scan time as it can with 12 min. Minimizing the time required to reliably localize the brain's language network allows more effective localizer use in situations where each minute of scan time is particularly precious.
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Affiliation(s)
- Jayden J Lee
- Department of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave., Boston, MA 02215, United States
| | - Terri L Scott
- Department of Neurological Surgery, University of California - San Francisco, San Francisco, CA, United States
| | - Tyler K Perrachione
- Department of Speech, Language, and Hearing Sciences, Boston University, 635 Commonwealth Ave., Boston, MA 02215, United States.
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Wang Z, Tan Q, Frank SM, Sasaki Y, Sheinberg D, Phillips KA, Watanabe T. Learning of the same task subserved by substantially different mechanisms between patients with Body Dysmorphic Disorder and healthy individuals. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.19.571882. [PMID: 38187719 PMCID: PMC10769234 DOI: 10.1101/2023.12.19.571882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
It is generally believed that learning of a perceptual task involving low-level neuronal mechanisms is similar between individuals. However, it is unclear whether this assumption also applies to individuals with psychiatric disorders that are known to have altered brain activation during visual processing. We investigated this question in patients with body dysmorphic disorder (BDD), a psychiatric disorder characterized by distressing or impairing preoccupation with nonexistent or slight defects in one's physical appearance, and in healthy controls. Participants completed six training sessions on separate days on a visual detection task for human faces with low spatial frequency (LSF) components. Brain activation during task performance was measured with functional magnetic resonance imaging (fMRI) on separate days prior to and after training. The behavioral results showed that both groups of participants improved on the visual detection task to a similar extent through training. Despite this similarity in behavioral improvement, neuronal changes in the Fusiform Face Area (FFA), a core cortical region involved in face processing, with training were substantially different between groups. First, activation in the right FFA for LSF faces relative to High Spatial Frequency (HSF) faces that were used as an untrained control increased after training in BDD patients but decreased in controls. Second, resting state functional connectivity between left and right FFAs decreased after training in BDD patients but increased in controls. Contrary to the assumption that learning of a perceptual task is subserved by the same neuronal mechanisms across individuals, our results indicate that the neuronal mechanisms involved in learning of a face detection task differ fundamentally between patients with BDD and healthy individuals. The involvement of different neuronal mechanisms for learning of even simple perceptual tasks in patients with BDD might reflect the brain's adaptations to altered functions imposed by the psychiatric disorder.
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Affiliation(s)
- Zhiyan Wang
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA
- Institute for Psychology, University of Regensburg, Universitätsstraße 31, Regensburg 93053, Germany
| | - Qingleng Tan
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA
| | - Sebastian M. Frank
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA
- Institute for Psychology, University of Regensburg, Universitätsstraße 31, Regensburg 93053, Germany
| | - Yuka Sasaki
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA
| | - David Sheinberg
- Warren Alpert Medical School, Brown University, 222 Richmond St., Providence, RI 02903, USA
- Department of Neuroscience, Brown University, 185 Meeting St., Providence, RI 02912, USA
| | - Katharine A. Phillips
- Warren Alpert Medical School, Brown University, 222 Richmond St., Providence, RI 02903, USA
- Present address: Department of Psychiatry, Weill Cornell Medicine, Cornell University 15 E 62nd St 5th floor, New York, NY 10065, USA
| | - Takeo Watanabe
- Department of Cognitive, Linguistic and Psychological Sciences, Brown University, 190 Thayer St., Providence, RI 02912, USA
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7
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Laurent MA, Audurier P, De Castro V, Gao X, Durand JB, Jonas J, Rossion B, Cottereau BR. Towards an optimization of functional localizers in non-human primate neuroimaging with (fMRI) frequency-tagging. Neuroimage 2023; 270:119959. [PMID: 36822249 DOI: 10.1016/j.neuroimage.2023.119959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 02/16/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Non-human primate (NHP) neuroimaging can provide essential insights into the neural basis of human cognitive functions. While functional magnetic resonance imaging (fMRI) localizers can play an essential role in reaching this objective (Russ et al., 2021), they often differ substantially across species in terms of paradigms, measured signals, and data analysis, biasing the comparisons. Here we introduce a functional frequency-tagging face localizer for NHP imaging, successfully developed in humans and outperforming standard face localizers (Gao et al., 2018). FMRI recordings were performed in two awake macaques. Within a rapid 6 Hz stream of natural non-face objects images, human or monkey face stimuli were presented in bursts every 9 s. We also included control conditions with phase-scrambled versions of all images. As in humans, face-selective activity was objectively identified and quantified at the peak of the face-stimulation frequency (0.111 Hz) and its second harmonic (0.222 Hz) in the Fourier domain. Focal activations with a high signal-to-noise ratio were observed in regions previously described as face-selective, mainly in the STS (clusters PL, ML, MF; also, AL, AF), both for human and monkey faces. Robust face-selective activations were also found in the prefrontal cortex of one monkey (PVL and PO clusters). Face-selective neural activity was highly reliable and excluded all contributions from low-level visual cues contained in the amplitude spectrum of the stimuli. These observations indicate that fMRI frequency-tagging provides a highly valuable approach to objectively compare human and monkey visual recognition systems within the same framework.
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Affiliation(s)
| | - Pauline Audurier
- Centre de Recherche Cerveau et Cognition, Université Toulouse 3 Paul Sabatier, CNRS, 31052 Toulouse, France
| | - Vanessa De Castro
- Centre de Recherche Cerveau et Cognition, Université Toulouse 3 Paul Sabatier, CNRS, 31052 Toulouse, France
| | - Xiaoqing Gao
- Center for Psychological Sciences, Zhejiang University, Hangzhou City, China
| | - Jean-Baptiste Durand
- Centre de Recherche Cerveau et Cognition, Université Toulouse 3 Paul Sabatier, CNRS, 31052 Toulouse, France
| | - Jacques Jonas
- Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France; Universite de Lorraine, CHRU-Nancy, Service de neurologie, F-54000, France
| | - Bruno Rossion
- Université de Lorraine, CNRS, CRAN, F-54000 Nancy, France
| | - Benoit R Cottereau
- Centre de Recherche Cerveau et Cognition, Université Toulouse 3 Paul Sabatier, CNRS, 31052 Toulouse, France.
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8
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Intracerebral Electrophysiological Recordings to Understand the Neural Basis of Human Face Recognition. Brain Sci 2023; 13:brainsci13020354. [PMID: 36831897 PMCID: PMC9954066 DOI: 10.3390/brainsci13020354] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 02/22/2023] Open
Abstract
Understanding how the human brain recognizes faces is a primary scientific goal in cognitive neuroscience. Given the limitations of the monkey model of human face recognition, a key approach in this endeavor is the recording of electrophysiological activity with electrodes implanted inside the brain of human epileptic patients. However, this approach faces a number of challenges that must be overcome for meaningful scientific knowledge to emerge. Here we synthesize a 10 year research program combining the recording of intracerebral activity (StereoElectroEncephaloGraphy, SEEG) in the ventral occipito-temporal cortex (VOTC) of large samples of participants and fast periodic visual stimulation (FPVS), to objectively define, quantify, and characterize the neural basis of human face recognition. These large-scale studies reconcile the wide distribution of neural face recognition activity with its (right) hemispheric and regional specialization and extend face-selectivity to anterior regions of the VOTC, including the ventral anterior temporal lobe (VATL) typically affected by magnetic susceptibility artifacts in functional magnetic resonance imaging (fMRI). Clear spatial dissociations in category-selectivity between faces and other meaningful stimuli such as landmarks (houses, medial VOTC regions) or written words (left lateralized VOTC) are found, confirming and extending neuroimaging observations while supporting the validity of the clinical population tested to inform about normal brain function. The recognition of face identity - arguably the ultimate form of recognition for the human brain - beyond mere differences in physical features is essentially supported by selective populations of neurons in the right inferior occipital gyrus and the lateral portion of the middle and anterior fusiform gyrus. In addition, low-frequency and high-frequency broadband iEEG signals of face recognition appear to be largely concordant in the human association cortex. We conclude by outlining the challenges of this research program to understand the neural basis of human face recognition in the next 10 years.
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9
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Palenciano AF, Senoussi M, Formica S, González-García C. Canonical template tracking: Measuring the activation state of specific neural representations. FRONTIERS IN NEUROIMAGING 2023; 1:974927. [PMID: 37555182 PMCID: PMC10406196 DOI: 10.3389/fnimg.2022.974927] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 12/13/2022] [Indexed: 08/10/2023]
Abstract
Multivariate analyses of neural data have become increasingly influential in cognitive neuroscience since they allow to address questions about the representational signatures of neurocognitive phenomena. Here, we describe Canonical Template Tracking: a multivariate approach that employs independent localizer tasks to assess the activation state of specific representations during the execution of cognitive paradigms. We illustrate the benefits of this methodology in characterizing the particular content and format of task-induced representations, comparing it with standard (cross-)decoding and representational similarity analyses. Then, we discuss relevant design decisions for experiments using this analysis approach, focusing on the nature of the localizer tasks from which the canonical templates are derived. We further provide a step-by-step tutorial of this method, stressing the relevant analysis choices for functional magnetic resonance imaging and magneto/electroencephalography data. Importantly, we point out the potential pitfalls linked to canonical template tracking implementation and interpretation of the results, together with recommendations to mitigate them. To conclude, we provide some examples from previous literature that highlight the potential of this analysis to address relevant theoretical questions in cognitive neuroscience.
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Affiliation(s)
- Ana F. Palenciano
- Mind, Brain, and Behavior Research Center, University of Granada, Granada, Spain
| | - Mehdi Senoussi
- CLLE Lab, CNRS UMR 5263, University of Toulouse, Toulouse, France
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Silvia Formica
- Department of Psychology, Berlin School of Mind and Brain, Humboldt Universität zu Berlin, Berlin, Germany
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Butler CR, Rhodes E, Blackmore J, Cheng X, Peach RL, Veldsman M, Sheerin F, Cleveland RO. Transcranial ultrasound stimulation to human middle temporal complex improves visual motion detection and modulates electrophysiological responses. Brain Stimul 2022; 15:1236-1245. [PMID: 36067978 DOI: 10.1016/j.brs.2022.08.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Transcranial ultrasound stimulation (TUS) holds promise as a novel technology for non-invasive neuromodulation, with greater spatial precision than other available methods and the ability to target deep brain structures. However, its safety and efficacy for behavioural and electrophysiological modulation remains controversial and it is not yet clear whether it can be used to manipulate the neural mechanisms supporting higher cognitive function in humans. Moreover, concerns have been raised about a potential TUS-induced auditory confound. OBJECTIVES We aimed to investigate whether TUS can be used to modulate higher-order visual function in humans in an anatomically-specific way whilst controlling for auditory confounds. METHODS We used participant-specific skull maps, functional localisation of brain targets, acoustic modelling and neuronavigation to guide TUS delivery to human visual motion processing cortex (hMT+) whilst participants performed a visual motion detection task. We compared the effects of hMT+ stimulation with sham and control site stimulation and examined EEG data for modulation of task-specific event-related potentials. An auditory mask was applied which prevented participants from distinguishing between stimulation and sham trials. RESULTS Compared with sham and control site stimulation, TUS to hMT+ improved accuracy and reduced response times of visual motion detection. TUS also led to modulation of the task-specific event-related EEG potential. The amplitude of this modulation correlated with the performance benefit induced by TUS. No pathological changes were observed comparing structural MRI obtained before and after stimulation. CONCLUSIONS The results demonstrate for the first time the precision, efficacy and safety of TUS for stimulation of higher-order cortex and cognitive function in humans whilst controlling for auditory confounds.
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Affiliation(s)
- Christopher R Butler
- Department of Brain Sciences, Imperial College London, UK; Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
| | - Edward Rhodes
- Department of Brain Sciences, Imperial College London, UK; UK Dementia Research Institute, Imperial College London, UK
| | | | - Xinghao Cheng
- Institute of Biomedical Engineering, University of Oxford, UK
| | - Robert L Peach
- Department of Brain Sciences, Imperial College London, UK; Department of Neurology, University Hospital of Würzburg, Germany
| | | | - Fintan Sheerin
- Oxford University Hospitals NHS Foundation Trust, Oxford, UK
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11
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Thome I, García Alanis JC, Volk J, Vogelbacher C, Steinsträter O, Jansen A. Let's face it: The lateralization of the face perception network as measured with fMRI is not clearly right dominant. Neuroimage 2022; 263:119587. [PMID: 36031183 DOI: 10.1016/j.neuroimage.2022.119587] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 08/17/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022] Open
Abstract
The neural face perception network is distributed across both hemispheres. However, the dominant role in humans is virtually unanimously attributed to the right hemisphere. Interestingly, there are, to our knowledge, no imaging studies that systematically describe the distribution of hemispheric lateralization in the core system of face perception across subjects in large cohorts so far. To address this, we determined the hemispheric lateralization of all core system regions (i.e., occipital face area (OFA), fusiform face area (FFA), posterior superior temporal sulcus (pSTS)) in 108 healthy subjects using functional magnetic resonance imaging (fMRI). We were particularly interested in the variability of hemispheric lateralization across subjects and explored how many subjects can be classified as right-dominant based on the fMRI activation pattern. We further assessed lateralization differences between different regions of the core system and analyzed the influence of handedness and sex on the lateralization with a generalized mixed effects regression model. As expected, brain activity was on average stronger in right-hemispheric brain regions than in their left-hemispheric homologues. This asymmetry was, however, only weakly pronounced in comparison to other lateralized brain functions (such as language and spatial attention) and strongly varied between individuals. Only half of the subjects in the present study could be classified as right-hemispheric dominant. Additionally, we did not detect significant lateralization differences between core system regions. Our data did also not support a general leftward shift of hemispheric lateralization in left-handers. Only the interaction of handedness and sex in the FFA revealed that specifically left-handed men were significantly more left-lateralized compared to right-handed males. In essence, our fMRI data did not support a clear right-hemispheric dominance of the face perception network. Our findings thus ultimately question the dogma that the face perception network - as measured with fMRI - can be characterized as "typically right lateralized".
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Affiliation(s)
- Ina Thome
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany.
| | - José C García Alanis
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany; Clinical Child and Adolescent Psychology, Department of Psychology, University of Marburg, Marburg, Germany; Analysis and Modeling of Complex Data Lab, Institute of Psychology, University of Mainz, Mainz, Germany
| | - Jannika Volk
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Christoph Vogelbacher
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Olaf Steinsträter
- Core-Facility BrainImaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Laboratory for Multimodal Neuroimaging, Department of Psychiatry, University of Marburg, Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany; Core-Facility BrainImaging, Faculty of Medicine, University of Marburg, Marburg, Germany.
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12
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Fu X, Richards JE. Evaluating Head Models for Cortical Source Localization of the Face-Sensitive N290 Component in Infants. Brain Topogr 2022; 35:398-415. [PMID: 35543889 DOI: 10.1007/s10548-022-00899-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 04/09/2022] [Indexed: 11/28/2022]
Abstract
Accurate cortical source localization of event-related potentials (ERPs) requires using realistic head models constructed from the participant's structural magnetic resonance imaging (MRI). A challenge in developmental studies is the limited accessibility of participant-specific MRIs. The present study compared source localization of infants' N290 ERP activities estimated using participant-specific head models with a series of substitute head models. The N290 responses to faces relative to toys were measured in 36 infants aged at 4.5, 7.5, 9, and 12 months. The substitutes were individual-based head models constructed from age-matched MRIs with closely matched ("close") or different ("far") head measures with the participants, age-appropriate average template, and age-inappropriate average templates. The greater source responses to faces than toys at the middle fusiform gyrus (mFG) estimated using participant-specific head models were preserved in individual-based head models, but not average templates. The "close" head models yielded the best fit with the participant-specific head models in source activities at the mFG and across face-processing-related regions of interest (ROIs). The age-appropriate average template showed mixed results, not supporting the stimulus effect but showed topographical distributions across the ROIs like the participant-specific head models. The "close" head models are the most optimal substitute for participant-specific MRIs.
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Affiliation(s)
- Xiaoxue Fu
- Department of Psychology, University of South Carolina, Columbia, USA.
| | - John E Richards
- Department of Psychology, University of South Carolina, Columbia, USA
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13
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Rossion B. Twenty years of investigation with the case of prosopagnosia PS to understand human face identity recognition. Part II: Neural basis. Neuropsychologia 2022; 173:108279. [PMID: 35667496 DOI: 10.1016/j.neuropsychologia.2022.108279] [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] [Received: 09/30/2021] [Revised: 04/30/2022] [Accepted: 05/25/2022] [Indexed: 10/18/2022]
Abstract
Patient PS sustained her dramatic brain injury in 1992, the same year as the first report of a neuroimaging study of human face recognition. The present paper complements the review on the functional nature of PS's prosopagnosia (part I), illustrating how her case study directly, i.e., through neuroimaging investigations of her brain structure and activity, but also indirectly, through neural studies performed on other clinical cases and neurotypical individuals, inspired and constrained neural models of human face recognition. In the dominant right hemisphere for face recognition in humans, PS's main lesion concerns (inputs to) the inferior occipital gyrus (IOG), in a region where face-selective activity is typically found in normal individuals ('Occipital Face Area', OFA). Her case study initially supported the criticality of this region for face identity recognition (FIR) and provided the impetus for transcranial magnetic stimulation (TMS), intracerebral electrical stimulation, and cortical surgery studies that have generally supported this view. Despite PS's right IOG lesion, typical face-selectivity is found anteriorly in the middle portion of the fusiform gyrus, a hominoid structure (termed the right 'Fusiform Face Area', FFA) that is widely considered to be the most important region for human face recognition. This finding led to the original proposal of direct anatomico-functional connections from early visual cortices to the FFA, bypassing the IOG/OFA (lulu), a hypothesis supported by further neuroimaging studies of PS, other neurological cases and neuro-typical individuals with original visual stimulation paradigms, data recordings and analyses. The proposal of a lack of sensitivity to face identity in PS's right FFA due to defective reentrant inputs from the IOG/FFA has also been supported by other cases, functional connectivity and cortical surgery studies. Overall, neural studies of, and based on, the case of prosopagnosia PS strongly question the hierarchical organization of the human neural face recognition system, supporting a more flexible and dynamic view of this key social brain function.
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Affiliation(s)
- Bruno Rossion
- Université de Lorraine, CNRS, CRAN, F-54000, Nancy, France; CHRU-Nancy, Service de Neurologie, F-5400, France; Psychological Sciences Research Institute, Institute of Neuroscience, University of Louvain, Belgium.
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14
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Rapuano KM, Conley MI, Juliano AC, Conan GM, Maza MT, Woodman K, Martinez SA, Earl E, Perrone A, Feczko E, Fair DA, Watts R, Casey BJ, Rosenberg MD. An open-access accelerated adult equivalent of the ABCD Study neuroimaging dataset (a-ABCD). Neuroimage 2022; 255:119215. [PMID: 35436615 DOI: 10.1016/j.neuroimage.2022.119215] [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: 12/18/2021] [Revised: 03/14/2022] [Accepted: 04/13/2022] [Indexed: 11/19/2022] Open
Abstract
As public access to longitudinal developmental datasets like the Adolescent Brain Cognitive Development StudySM (ABCD Study®) increases, so too does the need for resources to benchmark time-dependent effects. Scan-to-scan changes observed with repeated imaging may reflect development but may also reflect practice effects, day-to-day variability in psychological states, and/or measurement noise. Resources that allow disentangling these time-dependent effects will be useful in quantifying actual developmental change. We present an accelerated adult equivalent of the ABCD Study dataset (a-ABCD) using an identical imaging protocol to acquire magnetic resonance imaging (MRI) structural, diffusion-weighted, resting-state and task-based data from eight adults scanned five times over five weeks. We report on the task-based imaging data (n = 7). In-scanner stop-signal (SST), monetary incentive delay (MID), and emotional n-back (EN-back) task behavioral performance did not change across sessions. Post-scan recognition memory for emotional n-back stimuli, however, did improve as participants became more familiar with the stimuli. Functional MRI analyses revealed that patterns of task-based activation reflecting inhibitory control in the SST, reward success in the MID task, and working memory in the EN-back task were more similar within individuals across repeated scan sessions than between individuals. Within-subject, activity was more consistent across sessions during the EN-back task than in the SST and MID task, demonstrating differences in fMRI data reliability as a function of task. The a-ABCD dataset provides a unique testbed for characterizing the reliability of brain function, structure, and behavior across imaging modalities in adulthood and benchmarking neurodevelopmental change observed in the open-access ABCD Study.
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Affiliation(s)
| | | | | | - Gregory M Conan
- Masonic Institute for the Developing Brain, University of Minnesota Medical School
| | - Maria T Maza
- Department of Psychology, Yale University; Department of Psychology, University of North Carolina, Chapel Hill
| | - Kylie Woodman
- Department of Psychology, Yale University; Department of Communication, University of California, Santa Barbara
| | - Steven A Martinez
- Department of Psychology, Yale University; Department of Psychology, Temple University
| | - Eric Earl
- Department of Psychiatry, Oregon Health and Science University
| | - Anders Perrone
- Department of Psychiatry, Oregon Health and Science University; Masonic Institute for the Developing Brain, University of Minnesota Medical School
| | - Eric Feczko
- Masonic Institute for the Developing Brain, University of Minnesota Medical School; Department of Pediatrics, University of Minnesota Medical School
| | - Damien A Fair
- Masonic Institute for the Developing Brain, University of Minnesota Medical School
| | | | - B J Casey
- Department of Psychology, Yale University.
| | - Monica D Rosenberg
- Department of Psychology, Yale University; Department of Psychology, University of Chicago, United States.
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15
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Hanson SJ. The Failure of Blobology: fMRI Misinterpretation, Maleficience and Muddle. Front Hum Neurosci 2022; 16:870091. [PMID: 35463931 PMCID: PMC9027560 DOI: 10.3389/fnhum.2022.870091] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Accepted: 03/21/2022] [Indexed: 11/27/2022] Open
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16
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Kirk PA, Robinson OJ, Skipper JI. Anxiety and amygdala connectivity during movie-watching. Neuropsychologia 2022; 169:108194. [PMID: 35245529 PMCID: PMC8987737 DOI: 10.1016/j.neuropsychologia.2022.108194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 11/08/2021] [Accepted: 02/27/2022] [Indexed: 12/13/2022]
Abstract
Rodent and human studies have implicated an amygdala-prefrontal circuit during threat processing. One possibility is that while amygdala activity underlies core features of anxiety (e.g. detection of salient information), prefrontal cortices (i.e. dorsomedial prefrontal/anterior cingulate cortex) entrain its responsiveness. To date, this has been established in tightly controlled paradigms (predominantly using static face perception tasks) but has not been extended to more naturalistic settings. Consequently, using ‘movie fMRI’—in which participants watch ecologically-rich movie stimuli rather than constrained cognitive tasks—we sought to test whether individual differences in anxiety correlate with the degree of face-dependent amygdala-prefrontal coupling in two independent samples. Analyses suggested increased face-dependent superior parietal activation and decreased speech-dependent auditory cortex activation as a function of anxiety. However, we failed to find evidence for anxiety-dependent connectivity, neither in our stimulus-dependent or -independent analyses. Our findings suggest that work using experimentally constrained tasks may not replicate in more ecologically valid settings and, moreover, highlight the importance of testing the generalizability of neuroimaging findings outside of the original context. Using ‘movie fMRI’, we tested whether trait anxiety correlates with face-dependent amygdala-prefrontal coupling. We observed altered superior parietal activation to faces and auditory cortex activation to speech as a function of anxiety. We failed to find evidence for anxiety-dependent amygdala-dmPFC connectivity in stimulus-dependent or -independent analyses. Our findings highlight the importance of testing the generalizability of neuroimaging findings outside of the original context.
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Affiliation(s)
- Peter A Kirk
- UCL Institute of Cognitive Neuroscience, UK; UCL Experimental Psychology, UK.
| | - Oliver J Robinson
- UCL Institute of Cognitive Neuroscience, UK; UCL Clinical, Educational and Health Psychology, UK
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17
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Levakov G, Sporns O, Avidan G. Modular community structure of the face network supports face recognition. Cereb Cortex 2021; 32:3945-3958. [PMID: 34974616 PMCID: PMC9476611 DOI: 10.1093/cercor/bhab458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 01/02/2023] Open
Abstract
Face recognition is dependent on computations conducted in specialized brain regions and the communication among them, giving rise to the face-processing network. We examined whether modularity of this network may underlie the vast individual differences found in human face recognition abilities. Modular networks, characterized by strong within and weaker between-network connectivity, were previously suggested to promote efficacy and reduce interference among cognitive systems and also correlated with better cognitive abilities. The study was conducted in a large sample (n = 409) with diffusion-weighted imaging, resting-state fMRI, and a behavioral face recognition measure. We defined a network of face-selective regions and derived a novel measure of communication along with structural and functional connectivity among them. The modularity of this network was positively correlated with recognition abilities even when controlled for age. Furthermore, the results were specific to the face network when compared with the place network or to spatially permuted null networks. The relation to behavior was also preserved at the individual-edge level such that a larger correlation to behavior was found within hemispheres and particularly within the right hemisphere. This study provides the first evidence of modularity-behavior relationships in the domain of face processing and more generally in visual perception.
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Affiliation(s)
- Gidon Levakov
- Address correspondence to G. Levakov, Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, Israel.
| | - Olaf Sporns
- Department of Psychological and Brain Sciences, Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA,Program in Neuroscience, Indiana University, 107 S Indiana Ave, Bloomington, IN 47405, USA
| | - Galia Avidan
- Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, Israel,Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, Israel,Department of Psychology, Ben-Gurion University of the Negev, P.O.B. 653, Beer-Sheva 8410501, Israel
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18
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Thome I, Hohmann DM, Zimmermann KM, Smith ML, Kessler R, Jansen A. "I Spy with my Little Eye, Something that is a Face…": A Brain Network for Illusory Face Detection. Cereb Cortex 2021; 32:137-157. [PMID: 34322712 DOI: 10.1093/cercor/bhab199] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 04/26/2021] [Accepted: 05/27/2021] [Indexed: 11/12/2022] Open
Abstract
The most basic aspect of face perception is simply detecting the presence of a face, which requires the extraction of features that it has in common with other faces. Putatively, it is caused by matching high-dimensional sensory input with internal face templates, achieved through a top-down mediated coupling between prefrontal regions and brain areas in the occipito-temporal cortex ("core system of face perception"). Illusory face detection tasks can be used to study these top-down influences. In the present functional magnetic resonance imaging study, we showed that illusory face perception activated just as real faces the core system, albeit with atypical left-lateralization of the occipital face area. The core system was coupled with two distinct brain regions in the lateral prefrontal (inferior frontal gyrus, IFG) and orbitofrontal cortex (OFC). A dynamic causal modeling (DCM) analysis revealed that activity in the core system during illusory face detection was upregulated by a modulatory face-specific influence of the IFG, not as previously assumed by the OFC. Based on these findings, we were able to develop the most comprehensive neuroanatomical framework of illusory face detection until now.
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Affiliation(s)
- Ina Thome
- Department of Psychiatry, Laboratory for Multimodal Neuroimaging, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Daniela M Hohmann
- Department of Psychiatry, Laboratory for Multimodal Neuroimaging, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Kristin M Zimmermann
- Department of Psychiatry, Laboratory for Multimodal Neuroimaging, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany.,Department of Neurology and Neurorehabilitation, Hospital zum Heiligen Geist, Academic Teaching Hospital of the Heinrich-Heine-University Düsseldorf, Kempen, Germany
| | - Marie L Smith
- Department of Psychological Sciences, Birkbeck College, University of London, London, UK
| | - Roman Kessler
- Department of Psychiatry, Laboratory for Multimodal Neuroimaging, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry, Laboratory for Multimodal Neuroimaging, University of Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Marburg, Germany.,Core-Facility BrainImaging, Faculty of Medicine, University of Marburg, Marburg, Germany
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19
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Russ BE, Petkov CI, Kwok SC, Zhu Q, Belin P, Vanduffel W, Hamed SB. Common functional localizers to enhance NHP & cross-species neuroscience imaging research. Neuroimage 2021; 237:118203. [PMID: 34048898 PMCID: PMC8529529 DOI: 10.1016/j.neuroimage.2021.118203] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 05/15/2021] [Accepted: 05/24/2021] [Indexed: 11/25/2022] Open
Abstract
Functional localizers are invaluable as they can help define regions of interest, provide cross-study comparisons, and most importantly, allow for the aggregation and meta-analyses of data across studies and laboratories. To achieve these goals within the non-human primate (NHP) imaging community, there is a pressing need for the use of standardized and validated localizers that can be readily implemented across different groups. The goal of this paper is to provide an overview of the value of localizer protocols to imaging research and we describe a number of commonly used or novel localizers within NHPs, and keys to implement them across studies. As has been shown with the aggregation of resting-state imaging data in the original PRIME-DE submissions, we believe that the field is ready to apply the same initiative for task-based functional localizers in NHP imaging. By coming together to collect large datasets across research group, implementing the same functional localizers, and sharing the localizers and data via PRIME-DE, it is now possible to fully test their robustness, selectivity and specificity. To do this, we reviewed a number of common localizers and we created a repository of well-established localizer that are easily accessible and implemented through the PRIME-RE platform.
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Affiliation(s)
- Brian E Russ
- Center for Biomedical Imaging and Neuromodulation, Nathan Kline Institute, Orangeburg, NY, United States; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York City, NY, United States; Department of Psychiatry, New York University at Langone, New York City, NY, United States.
| | - Christopher I Petkov
- Biosciences Institute, Newcastle University Medical School, Newcastle upon Tyne, United Kingdom
| | - Sze Chai Kwok
- Shanghai Key Laboratory of Brain Functional Genomics, Key Laboratory of Brain Functional Genomics Ministry of Education, Shanghai Key Laboratory of Magnetic Resonance, Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China; Division of Natural and Applied Sciences, Duke Kunshan University, Kunshan, Jiangsu, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, China
| | - Qi Zhu
- Cognitive Neuroimaging Unit, INSERM, CEA, Université Paris-Saclay, NeuroSpin Center, 91191 Gif/Yvette, France; Laboratory for Neuro-and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven, 3000, Belgium
| | - Pascal Belin
- Institut de Neurosciences de La Timone, Aix-Marseille Université et CNRS, Marseille, 13005, France
| | - Wim Vanduffel
- Laboratory for Neuro-and Psychophysiology, Department of Neurosciences, KU Leuven Medical School, Leuven, 3000, Belgium; Leuven Brain Institute, KU Leuven, Leuven, 3000, Belgium; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA 02129, United States; Department of Radiology, Harvard Medical School, Boston, MA 02144, United States.
| | - Suliann Ben Hamed
- Institut des Sciences Cognitives Marc Jeannerod, UMR 5229, Université de Lyon - CNRS, France.
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20
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Signed Reward Prediction Errors in the Ventral Striatum Drive Episodic Memory. J Neurosci 2020; 41:1716-1726. [PMID: 33334870 DOI: 10.1523/jneurosci.1785-20.2020] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 12/04/2020] [Accepted: 12/07/2020] [Indexed: 11/21/2022] Open
Abstract
Recent behavioral evidence implicates reward prediction errors (RPEs) as a key factor in the acquisition of episodic memory. Yet, important neural predictions related to the role of RPEs in episodic memory acquisition remain to be tested. Humans (both sexes) performed a novel variable-choice task where we experimentally manipulated RPEs and found support for key neural predictions with fMRI. Our results show that in line with previous behavioral observations, episodic memory accuracy increases with the magnitude of signed (i.e., better/worse-than-expected) RPEs (SRPEs). Neurally, we observe that SRPEs are encoded in the ventral striatum (VS). Crucially, we demonstrate through mediation analysis that activation in the VS mediates the experimental manipulation of SRPEs on episodic memory accuracy. In particular, SRPE-based responses in the VS (during learning) predict the strength of subsequent episodic memory (during recollection). Furthermore, functional connectivity between task-relevant processing areas (i.e., face-selective areas) and hippocampus and ventral striatum increased as a function of RPE value (during learning), suggesting a central role of these areas in episodic memory formation. Our results consolidate reinforcement learning theory and striatal RPEs as key factors subtending the formation of episodic memory.SIGNIFICANCE STATEMENT Recent behavioral research has shown that reward prediction errors (RPEs), a key concept of reinforcement learning theory, are crucial to the formation of episodic memories. In this study, we reveal the neural underpinnings of this process. Using fMRI, we show that signed RPEs (SRPEs) are encoded in the ventral striatum (VS), and crucially, that SRPE VS activity is responsible for the subsequent recollection accuracy of one-shot learned episodic memory associations.
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21
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Jacques C, Rossion B, Volfart A, Brissart H, Colnat-Coulbois S, Maillard L, Jonas J. The neural basis of rapid unfamiliar face individuation with human intracerebral recordings. Neuroimage 2020; 221:117174. [DOI: 10.1016/j.neuroimage.2020.117174] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 05/19/2020] [Accepted: 07/14/2020] [Indexed: 12/24/2022] Open
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22
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Aliko S, Huang J, Gheorghiu F, Meliss S, Skipper JI. A naturalistic neuroimaging database for understanding the brain using ecological stimuli. Sci Data 2020; 7:347. [PMID: 33051448 PMCID: PMC7555491 DOI: 10.1038/s41597-020-00680-2] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 09/16/2020] [Indexed: 12/22/2022] Open
Abstract
Neuroimaging has advanced our understanding of human psychology using reductionist stimuli that often do not resemble information the brain naturally encounters. It has improved our understanding of the network organization of the brain mostly through analyses of 'resting-state' data for which the functions of networks cannot be verifiably labelled. We make a 'Naturalistic Neuroimaging Database' (NNDb v1.0) publically available to allow for a more complete understanding of the brain under more ecological conditions during which networks can be labelled. Eighty-six participants underwent behavioural testing and watched one of 10 full-length movies while functional magnetic resonance imaging was acquired. Resulting timeseries data are shown to be of high quality, with good signal-to-noise ratio, few outliers and low movement. Data-driven functional analyses provide further evidence of data quality. They also demonstrate accurate timeseries/movie alignment and how movie annotations might be used to label networks. The NNDb can be used to answer questions previously unaddressed with standard neuroimaging approaches, progressing our knowledge of how the brain works in the real world.
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Affiliation(s)
- Sarah Aliko
- London Interdisciplinary Biosciences Consortium, University College London, London, UK.
- Experimental Psychology, University College London, London, UK.
| | - Jiawen Huang
- Experimental Psychology, University College London, London, UK
| | | | - Stefanie Meliss
- Experimental Psychology, University College London, London, UK
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
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23
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Shashidhara S, Spronkers FS, Erez Y. Individual-subject Functional Localization Increases Univariate Activation but Not Multivariate Pattern Discriminability in the "Multiple-demand" Frontoparietal Network. J Cogn Neurosci 2020; 32:1348-1368. [PMID: 32108555 PMCID: PMC7116248 DOI: 10.1162/jocn_a_01554] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
The frontoparietal "multiple-demand" (MD) control network plays a key role in goal-directed behavior. Recent developments of multivoxel pattern analysis (MVPA) for fMRI data allow for more fine-grained investigations into the functionality and properties of brain systems. In particular, MVPA in the MD network was used to gain better understanding of control processes such as attentional effects, adaptive coding, and representation of multiple task-relevant features, but overall low decoding levels have limited its use for this network. A common practice of applying MVPA is by investigating pattern discriminability within a ROI using a template mask, thus ensuring that the same brain areas are studied in all participants. This approach offers high sensitivity but does not take into account differences between individuals in the spatial organization of brain regions. An alternative approach uses independent localizer data for each subject to select the most responsive voxels and define individual ROIs within the boundaries of a group template. Such an approach allows for a refined and targeted localization based on the unique pattern of activity of individual subjects while ensuring that functionally similar brain regions are studied for all subjects. In the current study, we tested whether using individual ROIs leads to changes in decodability of task-related neural representations as well as univariate activity across the MD network compared with when using a group template. We used three localizer tasks to separately define subject-specific ROIs: spatial working memory, verbal working memory, and a Stroop task. We then systematically assessed univariate and multivariate results in a separate rule-based criterion task. All the localizer tasks robustly recruited the MD network and evoked highly reliable activity patterns in individual subjects. Consistent with previous studies, we found a clear benefit of the subject-specific ROIs for univariate results from the criterion task, with increased activity in the individual ROIs based on the localizers' data, compared with the activity observed when using the group template. In contrast, there was no benefit of the subject-specific ROIs for the multivariate results in the form of increased discriminability, as well as no cost of reduced discriminability. Both univariate and multivariate results were similar in the subject-specific ROIs defined by each of the three localizers. Our results provide important empirical evidence for researchers in the field of cognitive control for the use of individual ROIs in the frontoparietal network for both univariate and multivariate analysis of fMRI data and serve as another step toward standardization and increased comparability across studies.
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Affiliation(s)
- Sneha Shashidhara
- MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, UK
| | | | - Yaara Erez
- MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF, UK
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24
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Conte S, Richards JE, Guy MW, Xie W, Roberts JE. Face-sensitive brain responses in the first year of life. Neuroimage 2020; 211:116602. [PMID: 32044434 PMCID: PMC7085434 DOI: 10.1016/j.neuroimage.2020.116602] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 02/01/2020] [Accepted: 02/01/2020] [Indexed: 10/25/2022] Open
Abstract
Cortical areas in the ventral visual pathway become selectively tuned towards the processing of faces compared to non-face stimuli beginning around 3 months of age and continuing over the first year. Studies using event-related potentials in the EEG (ERPs) have found an ERP component, the N290, that displays specificity for human faces. Other components, such as the P1, P400, and Nc have been studied to a lesser degree in their responsiveness to human faces. However, little is known about the systematic changes in the neural responses to faces during the first year of life, and the localization of these responses in infants' brain. We examined ERP responses to pictures of faces and objects in infants from 4.5 months through 12 months in a cross-sectional study. We investigated the activity of all the components reported to be involved in infant face processing, with particular interest to their amplitude variation and cortical localization. We identified neural regions responsible for the component through the application of cortical source localization methods. We found larger P1 and N290 responses to faces than objects, and these components were localized in the lingual and middle/posterior fusiform gyri, respectively. The amplitude of the P400 was not differentially sensitive to faces over objects. The Nc component was different for faces and objects, was influenced by the infant's attentional state, and localized in medial-anterior brain areas. The implications of these results are discussed in the identification of developmental ERP precursors to face processing.
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Affiliation(s)
- Stefania Conte
- Department of Psychology, University of South Carolina, United States.
| | - John E Richards
- Department of Psychology, University of South Carolina, United States
| | - Maggie W Guy
- Department of Psychology, Loyola University Chicago, United States
| | - Wanze Xie
- Laboratories of Cognitive Neuroscience, Division of Developmental Medicine, Boston Children's Hospital, United States; Department of Pediatrics, Harvard Medical School, United States
| | - Jane E Roberts
- Department of Psychology, University of South Carolina, United States
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25
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The cortical face network of the prosopagnosic patient PS with fast periodic stimulation in fMRI. Cortex 2019; 119:528-542. [DOI: 10.1016/j.cortex.2018.11.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 09/01/2018] [Accepted: 11/07/2018] [Indexed: 12/27/2022]
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26
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Kale EH, Üstün S, Çiçek M. Amygdala-prefrontal cortex connectivity increased during face discrimination but not time perception. Eur J Neurosci 2019; 50:3873-3888. [PMID: 31376287 DOI: 10.1111/ejn.14537] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 07/24/2019] [Accepted: 07/29/2019] [Indexed: 01/01/2023]
Abstract
Time sensitivity is affected by emotional stimuli such as fearful faces. The effect of threatening stimuli on time perception depends on numerous factors, including task type and duration range. We applied a two-interval forced-choice task using face stimuli to healthy volunteers to evaluate time perception and emotion interaction using functional magnetic resonance imaging. We conducted finite impulse response analysis to examine time series for the significantly activated brain areas and psycho-physical interaction to investigate the connectivity between selected regions. Time perception engaged a right-lateralised frontoparietal network, while a face discrimination task activated the amygdala and fusiform face area (FFA). No voxels were active with regard to the effect of expression (fearful versus neutral). In parallel with this, our behavioural results showed that attending to the fearful faces did not cause duration overestimation. Finally, connectivity of the amygdala and FFA to the middle frontal gyrus increased during the face processing condition compared to the timing task. Overall, our results suggest that the prefrontal-amygdala connectivity might be required for the emotional processing of facial stimuli. On the other hand, attentional load, task type and task difficulty are discussed as possible factors that influence the effects of emotion on time perception.
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Affiliation(s)
- Emre H Kale
- Brain Research Centre, Ankara University, Ankara, Turkey.,Department of Interdisciplinary Neuroscience, Health Science Institute, Ankara University, Ankara, Turkey
| | - Sertaç Üstün
- Department of Physiology, School of Medicine, Ankara University, Ankara, Turkey
| | - Metehan Çiçek
- Brain Research Centre, Ankara University, Ankara, Turkey.,Department of Interdisciplinary Neuroscience, Health Science Institute, Ankara University, Ankara, Turkey.,Department of Physiology, School of Medicine, Ankara University, Ankara, Turkey
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27
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Abstract
Facial affect recognition deficits following traumatic brain injury (TBI) have been well documented, as has their relationship with impairment in several other cognitive domains. However, little is known about the neurobiological mechanisms underlying affect recognition deficits, in particular mechanisms underlying different aspects of facial affect recognition (e.g., perceptual and interpretive processes). In the current study, 33 adults with moderate-to-severe TBI and 24 demographically matched healthy comparison (HC) participants completed an fMRI facial affect recognition study. While in the scanner, participants were asked to match the affect of a target face to either (a) one of two faces differing in affect (perceptual condition) or (b) one of two written affect labels (interpretative condition). In both groups we found activations in regions typically involved in affect recognition. Our results revealed that in the perceptual condition individuals with TBI tended to activate the left dorsolateral prefrontal cortex less than HCs, and within the HC group individuals with higher perceptual affect recognition scores showed higher levels of activation in the same brain region. Individuals with TBI who were specifically impaired at interpretative affect recognition showed less activation than HCs in the right fusiform gyrus. Moreover, in the labeling condition individuals with TBI tended to de-activate medial prefrontal regions less than HCs. A region of interest analysis revealed that individuals with TBI showed significantly less activation than HCs in the FFA for all the contrasts of interest. Our results suggest involvement of several brain regions in facial affect recognition impairment post TBI, and provide neurobiological support for the notion that distinct aspects of facial affect recognition can be differentially impaired following TBI.
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28
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Gao C, Conte S, Richards JE, Xie W, Hanayik T. The neural sources of N170: Understanding timing of activation in face-selective areas. Psychophysiology 2019; 56:e13336. [PMID: 30710345 PMCID: PMC6508977 DOI: 10.1111/psyp.13336] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2018] [Revised: 11/06/2018] [Accepted: 12/20/2018] [Indexed: 11/30/2022]
Abstract
The N170 ERP component has been widely identified as a face-sensitive neural marker. Despite extensive investigations conducted to examine the neural sources of N170, there are two issues in prior literature: (a) few studies used individualized anatomy as head model for the cortical source analysis of the N170, and (b) the relationship between the N170 and face-selective regions from fMRI studies is unclear. Here, we addressed these questions by presenting pictures of faces and houses to the same group of healthy adults and recording structural MRI, fMRI, and high-density ERPs in separate sessions. Source analysis based on the participant's anatomy showed that the middle and posterior fusiform gyri were the primary neural sources for the face-sensitive aspects of the N170. Source analysis based on regions of interest from the fMRI revealed that the fMRI-defined fusiform face area was the major contributor to the N170. The current study suggests that the fusiform gyrus is a major neural contributor to the N170 ERP component and provides further insights about the spatiotemporal characteristics of face processing.
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Affiliation(s)
- Chuanji Gao
- Department of Psychology, University of South Carolina, Columbia, South Carolina
| | - Stefania Conte
- Department of Psychology, University of South Carolina, Columbia, South Carolina
| | - John E Richards
- Department of Psychology, University of South Carolina, Columbia, South Carolina
| | - Wanze Xie
- Department of Psychology, University of South Carolina, Columbia, South Carolina
| | - Taylor Hanayik
- Department of Psychology, University of South Carolina, Columbia, South Carolina
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29
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Schwarz L, Kreifelts B, Wildgruber D, Erb M, Scheffler K, Ethofer T. Properties of face localizer activations and their application in functional magnetic resonance imaging (fMRI) fingerprinting. PLoS One 2019; 14:e0214997. [PMID: 31013276 PMCID: PMC6478291 DOI: 10.1371/journal.pone.0214997] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 03/25/2019] [Indexed: 11/18/2022] Open
Abstract
Functional localizers are particularly prevalent in functional magnetic resonance imaging (fMRI) studies concerning face processing. In this study, we extend the knowledge on face localizers regarding four important aspects: First, activation differences in occipital and fusiform face areas (OFA/FFA) and amygdala are characterized by increased activation while precuneus and medial prefrontal cortex show decreased deactivation to faces versus control stimuli. The face-selective posterior superior temporal sulcus is a hybrid area exhibiting increased activation within its inferior and decreased deactivation within its superior part. Second, the employed control stimuli can impact on whether a region is classified in group analyses as face-selective or not. We specifically investigated this for recently described cytoarchitectonic subregions of the fusiform cortex (FG-2/FG-4). Averaged activity across voxels in FG-4 was stronger for faces than objects, houses, or landscapes. In FG-2, averaged activity was only significantly stronger in comparison with landscapes, but small peaks within this area were detected for comparison versus objects and houses. Third, reproducibility of individual peak activations is excellent for right FFA and quite good for right OFA, whereas within all other areas it was too low to provide valid information on time-invariant individual peaks. Finally, the fine-grained spatial activation patterns in right OFA and FFA are both time-invariant within each individual and sufficiently different between individuals to enable identification of individual participants with near-perfect precision (fMRI fingerprinting).
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Affiliation(s)
- Lena Schwarz
- University Department of Psychiatry and Psychotherapy, University Hospital Tuebingen, Tuebingen, Germany
- Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany
- * E-mail:
| | - Benjamin Kreifelts
- University Department of Psychiatry and Psychotherapy, University Hospital Tuebingen, Tuebingen, Germany
| | - Dirk Wildgruber
- University Department of Psychiatry and Psychotherapy, University Hospital Tuebingen, Tuebingen, Germany
| | - Michael Erb
- Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany
| | - Klaus Scheffler
- Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany
- Magnetic Resonance Centre, Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany
| | - Thomas Ethofer
- University Department of Psychiatry and Psychotherapy, University Hospital Tuebingen, Tuebingen, Germany
- Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany
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30
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Liu P, Cole PM, Gilmore RO, Pérez-Edgar KE, Vigeant MC, Moriarty P, Scherf KS. Young children's neural processing of their mother's voice: An fMRI study. Neuropsychologia 2019; 122:11-19. [PMID: 30528586 PMCID: PMC6334756 DOI: 10.1016/j.neuropsychologia.2018.12.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 11/13/2018] [Accepted: 12/03/2018] [Indexed: 12/20/2022]
Abstract
In addition to semantic content, human speech carries paralinguistic information that conveys important social cues such as a speaker's identity. For young children, their own mothers' voice is one of the most salient vocal inputs in their daily environment. Indeed, qualities of mothers' voices are shown to contribute to children's social development. Our knowledge of how the mother's voice is processed at the neural level, however, is limited. This study investigated whether the voice of a mother modulates activation in the network of regions activated by the human voice in young children differently than the voice of an unfamiliar mother. We collected fMRI data from 32 typically developing 7- and 8-year-olds as they listened to natural speech produced by their mother and another child's mother. We used emotionally-varied natural speech stimuli to approximate the range of children's day-to-day experience. We individually-defined functional ROIs in children's voice-sensitive neural network and then independently investigated the extent to which activation in these regions is modulated by speaker identity. The bilateral posterior auditory cortex, superior temporal gyrus (STG), and inferior frontal gyrus (IFG) exhibit enhanced activation in response to the voice of one's own mother versus that of an unfamiliar mother. The findings indicate that children process the voice of their own mother uniquely, and pave the way for future studies of how social information processing contributes to the trajectory of child social development.
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Affiliation(s)
- Pan Liu
- Department of Psychology, Child Study Center, The Pennsylvania State University, University Park, PA, USA
| | - Pamela M Cole
- Department of Psychology, Child Study Center, The Pennsylvania State University, University Park, PA, USA.
| | - Rick O Gilmore
- Department of Psychology, Child Study Center, The Pennsylvania State University, University Park, PA, USA
| | - Koraly E Pérez-Edgar
- Department of Psychology, Child Study Center, The Pennsylvania State University, University Park, PA, USA
| | - Michelle C Vigeant
- Graduate Program in Acoustics, The Pennsylvania State University, University Park, PA, USA
| | - Peter Moriarty
- Graduate Program in Acoustics, The Pennsylvania State University, University Park, PA, USA
| | - K Suzanne Scherf
- Department of Psychology, Child Study Center, The Pennsylvania State University, University Park, PA, USA
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31
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Van Essen DC, Glasser MF. Parcellating Cerebral Cortex: How Invasive Animal Studies Inform Noninvasive Mapmaking in Humans. Neuron 2018; 99:640-663. [PMID: 30138588 PMCID: PMC6149530 DOI: 10.1016/j.neuron.2018.07.002] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2018] [Revised: 06/25/2018] [Accepted: 07/02/2018] [Indexed: 10/28/2022]
Abstract
The cerebral cortex in mammals contains a mosaic of cortical areas that differ in function, architecture, connectivity, and/or topographic organization. A combination of local connectivity (within-area microcircuitry) and long-distance (between-area) connectivity enables each area to perform a unique set of computations. Some areas also have characteristic within-area mesoscale organization, reflecting specialized representations of distinct types of information. Cortical areas interact with one another to form functional networks that mediate behavior, and each area may be a part of multiple, partially overlapping networks. Given their importance to the understanding of brain organization, mapping cortical areas across species is a major objective of systems neuroscience and has been a century-long challenge. Here, we review recent progress in multi-modal mapping of mouse and nonhuman primate cortex, mainly using invasive experimental methods. These studies also provide a neuroanatomical foundation for mapping human cerebral cortex using noninvasive neuroimaging, including a new map of human cortical areas that we generated using a semiautomated analysis of high-quality, multimodal neuroimaging data. We contrast our semiautomated approach to human multimodal cortical mapping with various extant fully automated human brain parcellations that are based on only a single imaging modality and offer suggestions on how to best advance the noninvasive brain parcellation field. We discuss the limitations as well as the strengths of current noninvasive methods of mapping brain function, architecture, connectivity, and topography and of current approaches to mapping the brain's functional networks.
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Affiliation(s)
- David C Van Essen
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Matthew F Glasser
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO 63110, USA; St. Luke's Hospital, St. Louis, MO 63107, USA.
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32
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Linke A, Roach-Fox E, Vriezen E, Prasad AN, Cusack R. Altered activation and functional asymmetry of exner's area but not the visual word form area in a child with sudden-onset, persistent mirror writing. Neuropsychologia 2018; 117:322-331. [PMID: 29870776 DOI: 10.1016/j.neuropsychologia.2018.05.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 05/23/2018] [Accepted: 05/25/2018] [Indexed: 01/18/2023]
Abstract
Mirror writing is often produced by healthy children during early acquisition of literacy, and has been observed in adults following neurological disorders or insults. The neural mechanisms responsible for involuntary mirror writing remain debated, but in healthy children, it is typically attributed to the delayed development of a process of overcoming mirror invariance while learning to read and write. We present an unusual case of sudden-onset, persistent mirror writing in a previously typical seven-year-old girl. Using her dominant right hand only, she copied and spontaneously produced all letters, words and sentences, as well as some numbers and objects, in mirror image. Additionally, she frequently misidentified letter orientations in perceptual assessments. Clinical, neuropsychological, and functional neuroimaging studies were carried out over sixteen months. Neurologic and ophthalmologic examinations and a standard clinical MRI scan of the head were normal. Neuropsychological testing revealed average scores on most tests of intellectual function, language function, verbal learning and memory. Visual perception and visual reasoning were average, with the exception of below average form constancy, and mild difficulties on some visual memory tests. Activation and functional connectivity of the reading and writing network was assessed with fMRI. During a reading task, the VWFA showed a strong response to words in mirror but not in normal letter orientation - similar to what has been observed in typically developing children previously - but activation was atypically reduced in right primary visual cortex and Exner's Area. Resting-state connectivity within the reading and writing network was similar to that of age-matched controls, but hemispheric asymmetry between the balance of motor-to-visual input was found for Exner's Area. In summary, this unusual case suggests that a disruption to visual-motor integration rather than to the VWFA can contribute to sudden-onset, persistent mirror writing in the absence of clinically detectable neurological insult.
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Affiliation(s)
- Annika Linke
- The Brain and Mind Institute, Western University, London, ON, N6A 5B7 Canada; San Diego State University, San Diego, CA, USA
| | - Elizabeth Roach-Fox
- Children's Hospital of Western Ontario, 800 Commissioners Road East, London, Ontario, N6A 5W9,Canada
| | - Ellen Vriezen
- Children's Hospital of Western Ontario, 800 Commissioners Road East, London, Ontario, N6A 5W9,Canada
| | - Asuri Narayan Prasad
- Children's Hospital of Western Ontario, 800 Commissioners Road East, London, Ontario, N6A 5W9,Canada; Children's Health Research Institute, 800 Commissioners Road East, London, Ontario, N6C 2V5 Canada
| | - Rhodri Cusack
- The Brain and Mind Institute, Western University, London, ON, N6A 5B7 Canada; Children's Health Research Institute, 800 Commissioners Road East, London, Ontario, N6C 2V5 Canada; Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin 2, Ireland
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33
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Bauernfeind G, Wriessnegger SC, Haumann S, Lenarz T. Cortical activation patterns to spatially presented pure tone stimuli with different intensities measured by functional near-infrared spectroscopy. Hum Brain Mapp 2018. [PMID: 29516587 DOI: 10.1002/hbm.24034] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Functional near-infrared spectroscopy (fNIRS) is an emerging technique for the assessment of functional activity of the cerebral cortex. Recently fNIRS was also envisaged as a novel neuroimaging approach for measuring the auditory cortex activity in the field of in auditory diagnostics. This study aimed to investigate differences in brain activity related to spatially presented sounds with different intensities in 10 subjects by means of functional near-infrared spectroscopy (fNIRS). We found pronounced cortical activation patterns in the temporal and frontal regions of both hemispheres. In contrast to these activation patterns, we found deactivation patterns in central and parietal regions of both hemispheres. Furthermore our results showed an influence of spatial presentation and intensity of the presented sounds on brain activity in related regions of interest. These findings are in line with previous fMRI studies which also reported systematic changes of activation in temporal and frontal areas with increasing sound intensity. Although clear evidence for contralaterality effects and hemispheric asymmetries were absent in the group data, these effects were partially visible on the single subject level. Concluding, fNIRS is sensitive enough to capture differences in brain responses during the spatial presentation of sounds with different intensities in several cortical regions. Our results may serve as a valuable contribution for further basic research and the future use of fNIRS in the area of central auditory diagnostics.
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Affiliation(s)
- Günther Bauernfeind
- Department of Otolaryngology, Hannover Medical School, Hannover, 30625, Germany.,Cluster of Excellence "Hearing4all", Hannover Medical School, Hannover, 30625, Germany
| | | | - Sabine Haumann
- Department of Otolaryngology, Hannover Medical School, Hannover, 30625, Germany.,Cluster of Excellence "Hearing4all", Hannover Medical School, Hannover, 30625, Germany
| | - Thomas Lenarz
- Department of Otolaryngology, Hannover Medical School, Hannover, 30625, Germany.,Cluster of Excellence "Hearing4all", Hannover Medical School, Hannover, 30625, Germany
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34
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Gao X, Gentile F, Rossion B. Fast periodic stimulation (FPS): a highly effective approach in fMRI brain mapping. Brain Struct Funct 2018; 223:2433-2454. [DOI: 10.1007/s00429-018-1630-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 02/14/2018] [Indexed: 10/17/2022]
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35
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Kuo PC, Chen YS, Chen LF. Manifold decoding for neural representations of face viewpoint and gaze direction using magnetoencephalographic data. Hum Brain Mapp 2018; 39:2191-2209. [PMID: 29430792 DOI: 10.1002/hbm.23998] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2017] [Revised: 01/22/2018] [Accepted: 01/29/2018] [Indexed: 11/06/2022] Open
Abstract
The main challenge in decoding neural representations lies in linking neural activity to representational content or abstract concepts. The transformation from a neural-based to a low-dimensional representation may hold the key to encoding perceptual processes in the human brain. In this study, we developed a novel model by which to represent two changeable features of faces: face viewpoint and gaze direction. These features are embedded in spatiotemporal brain activity derived from magnetoencephalographic data. Our decoding results demonstrate that face viewpoint and gaze direction can be represented by manifold structures constructed from brain responses in the bilateral occipital face area and right superior temporal sulcus, respectively. Our results also show that the superposition of brain activity in the manifold space reveals the viewpoints of faces as well as directions of gazes as perceived by the subject. The proposed manifold representation model provides a novel opportunity to gain further insight into the processing of information in the human brain.
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Affiliation(s)
- Po-Chih Kuo
- Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan
| | - Yong-Sheng Chen
- Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan.,Institute of Biomedical Engineering, National Chiao Tung University, Hsinchu, Taiwan
| | - Li-Fen Chen
- Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.,Integrated Brain Research Unit, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan
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36
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Abstract
Face perception is critical for normal social functioning and is mediated by a network of regions in the ventral visual stream. In this review, we describe recent neuroimaging findings regarding the macro- and microscopic anatomical features of the ventral face network, the characteristics of white matter connections, and basic computations performed by population receptive fields within face-selective regions composing this network. We emphasize the importance of the neural tissue properties and white matter connections of each region, as these anatomical properties may be tightly linked to the functional characteristics of the ventral face network. We end by considering how empirical investigations of the neural architecture of the face network may inform the development of computational models and shed light on how computations in the face network enable efficient face perception.
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Affiliation(s)
- Kalanit Grill-Spector
- Department of Psychology, Stanford University, Stanford, California 94305;
- Stanford Neurosciences Institute, Stanford University, Stanford, California 94305
| | - Kevin S Weiner
- Department of Psychology, Stanford University, Stanford, California 94305;
| | - Kendrick Kay
- Department of Radiology, University of Minnesota, Minneapolis, Minnesota 55455
| | - Jesse Gomez
- Neurosciences Program, Stanford University School of Medicine, Stanford, California 94305
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37
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Juárez-Castillo E, Acosta-Mesa HG, Fernandez-Ruiz J, Cruz-Ramirez N. A feature selection method based on a neighborhood approach for contending with functional and anatomical variability in fMRI group analysis of cognitive states. INTELL DATA ANAL 2017. [DOI: 10.3233/ida-170881] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Efrén Juárez-Castillo
- Centro de Investigación en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, México
| | | | - Juan Fernandez-Ruiz
- Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, México
| | - Nicandro Cruz-Ramirez
- Centro de Investigación en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, México
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38
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Degryse J, Seurinck R, Durnez J, Gonzalez-Castillo J, Bandettini PA, Moerkerke B. Introducing Alternative-Based Thresholding for Defining Functional Regions of Interest in fMRI. Front Neurosci 2017; 11:222. [PMID: 28484367 PMCID: PMC5399022 DOI: 10.3389/fnins.2017.00222] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2016] [Accepted: 04/04/2017] [Indexed: 01/06/2023] Open
Abstract
In fMRI research, one often aims to examine activation in specific functional regions of interest (fROIs). Current statistical methods tend to localize fROIs inconsistently, focusing on avoiding detection of false activation. Not missing true activation is however equally important in this context. In this study, we explored the potential of an alternative-based thresholding (ABT) procedure, where evidence against the null hypothesis of no effect and evidence against a prespecified alternative hypothesis is measured to control both false positives and false negatives directly. The procedure was validated in the context of localizer tasks on simulated brain images and using a real data set of 100 runs per subject. Voxels categorized as active with ABT can be confidently included in the definition of the fROI, while inactive voxels can be confidently excluded. Additionally, the ABT method complements classic null hypothesis significance testing with valuable information by making a distinction between voxels that show evidence against both the null and alternative and voxels for which the alternative hypothesis cannot be rejected despite lack of evidence against the null.
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Affiliation(s)
- Jasper Degryse
- Department of Data-Analysis, Ghent UniversityGent, Belgium
| | - Ruth Seurinck
- Department of Data-Analysis, Ghent UniversityGent, Belgium
| | - Joke Durnez
- Department of Psychology, Stanford UniversityPalo Alto, CA, USA
| | - Javier Gonzalez-Castillo
- Section on Functional Imaging Methods, Laboratory of Brain Cognition, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA
| | - Peter A. Bandettini
- Section on Functional Imaging Methods, Laboratory of Brain Cognition, National Institute of Mental Health, National Institutes of HealthBethesda, MD, USA
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39
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Sengupta A, Kaule FR, Guntupalli JS, Hoffmann MB, Häusler C, Stadler J, Hanke M. A studyforrest extension, retinotopic mapping and localization of higher visual areas. Sci Data 2016; 3:160093. [PMID: 27779618 PMCID: PMC5079119 DOI: 10.1038/sdata.2016.93] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Accepted: 06/14/2016] [Indexed: 11/09/2022] Open
Abstract
The studyforrest (http://studyforrest.org) dataset is likely the largest neuroimaging dataset on natural language and story processing publicly available today. In this article, along with a companion publication, we present an update of this dataset that extends its scope to vision and multi-sensory research. 15 participants of the original cohort volunteered for a series of additional studies: a clinical examination of visual function, a standard retinotopic mapping procedure, and a localization of higher visual areas-such as the fusiform face area. The combination of this update, the previous data releases for the dataset, and the companion publication, which includes neuroimaging and eye tracking data from natural stimulation with a motion picture, form an extremely versatile and comprehensive resource for brain imaging research-with almost six hours of functional neuroimaging data across five different stimulation paradigms for each participant. Furthermore, we describe employed paradigms and present results that document the quality of the data for the purpose of characterising major properties of participants' visual processing stream.
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Affiliation(s)
- Ayan Sengupta
- Experimental Psychology Lab, Institute of Psychology, Otto-von-Guericke University, Magdeburg D-39016, Germany
| | - Falko R. Kaule
- Psychoinformatics Lab, Institute of Psychology, Otto-von-Guericke University, Magdeburg D-39016, Germany
- Visual Processing Laboratory, Department of Ophthalmology, Otto-von-Guericke University, Magdeburg D-39120, Germany
| | - J. Swaroop Guntupalli
- Center for Cognitive Neuroscience, Department of Psychological and Brain Sciences, Dartmouth College, Hanover, New Hampshire 03755, USA
| | - Michael B. Hoffmann
- Visual Processing Laboratory, Department of Ophthalmology, Otto-von-Guericke University, Magdeburg D-39120, Germany
- Center for Behavioral Brain Sciences, Magdeburg D-39016, Germany
| | - Christian Häusler
- Psychoinformatics Lab, Institute of Psychology, Otto-von-Guericke University, Magdeburg D-39016, Germany
| | - Jörg Stadler
- Leibniz Institute for Neurobiology, Magdeburg D-39118, Germany
| | - Michael Hanke
- Psychoinformatics Lab, Institute of Psychology, Otto-von-Guericke University, Magdeburg D-39016, Germany
- Center for Behavioral Brain Sciences, Magdeburg D-39016, Germany
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40
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A Multi-Atlas Labeling Approach for Identifying Subject-Specific Functional Regions of Interest. PLoS One 2016; 11:e0146868. [PMID: 26796546 PMCID: PMC4721956 DOI: 10.1371/journal.pone.0146868] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Accepted: 12/25/2015] [Indexed: 11/29/2022] Open
Abstract
The functional region of interest (fROI) approach has increasingly become a favored methodology in functional magnetic resonance imaging (fMRI) because it can circumvent inter-subject anatomical and functional variability, and thus increase the sensitivity and functional resolution of fMRI analyses. The standard fROI method requires human experts to meticulously examine and identify subject-specific fROIs within activation clusters. This process is time-consuming and heavily dependent on experts’ knowledge. Several algorithmic approaches have been proposed for identifying subject-specific fROIs; however, these approaches cannot easily incorporate prior knowledge of inter-subject variability. In the present study, we improved the multi-atlas labeling approach for defining subject-specific fROIs. In particular, we used a classifier-based atlas-encoding scheme and an atlas selection procedure to account for the large spatial variability across subjects. Using a functional atlas database for face recognition, we showed that with these two features, our approach efficiently circumvented inter-subject anatomical and functional variability and thus improved labeling accuracy. Moreover, in comparison with a single-atlas approach, our multi-atlas labeling approach showed better performance in identifying subject-specific fROIs.
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Koenig-Robert R, VanRullen R, Tsuchiya N. Semantic Wavelet-Induced Frequency-Tagging (SWIFT) Periodically Activates Category Selective Areas While Steadily Activating Early Visual Areas. PLoS One 2015; 10:e0144858. [PMID: 26691722 PMCID: PMC4686956 DOI: 10.1371/journal.pone.0144858] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 11/23/2015] [Indexed: 11/19/2022] Open
Abstract
Primate visual systems process natural images in a hierarchical manner: at the early stage, neurons are tuned to local image features, while neurons in high-level areas are tuned to abstract object categories. Standard models of visual processing assume that the transition of tuning from image features to object categories emerges gradually along the visual hierarchy. Direct tests of such models remain difficult due to confounding alteration in low-level image properties when contrasting distinct object categories. When such contrast is performed in a classic functional localizer method, the desired activation in high-level visual areas is typically accompanied with activation in early visual areas. Here we used a novel image-modulation method called SWIFT (semantic wavelet-induced frequency-tagging), a variant of frequency-tagging techniques. Natural images modulated by SWIFT reveal object semantics periodically while keeping low-level properties constant. Using functional magnetic resonance imaging (fMRI), we indeed found that faces and scenes modulated with SWIFT periodically activated the prototypical category-selective areas while they elicited sustained and constant responses in early visual areas. SWIFT and the localizer were selective and specific to a similar extent in activating category-selective areas. Only SWIFT progressively activated the visual pathway from low- to high-level areas, consistent with predictions from standard hierarchical models. We confirmed these results with criterion-free methods, generalizing the validity of our approach and show that it is possible to dissociate neural activation in early and category-selective areas. Our results provide direct evidence for the hierarchical nature of the representation of visual objects along the visual stream and open up future applications of frequency-tagging methods in fMRI.
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Affiliation(s)
- Roger Koenig-Robert
- School of Psychological Sciences, Faculty of Biomedical and Psychological Sciences, Monash University, Melbourne, Australia
- * E-mail: (RK); (NT)
| | - Rufin VanRullen
- CNRS, UMR5549, Centre de Recherche Cerveau et Cognition, Faculté de Médecine de Purpan, 31052 Toulouse, France
- Université de Toulouse, Centre de Recherche Cerveau et Cognition, Université Paul Sabatier, 31052 Toulouse, France
| | - Naotsugu Tsuchiya
- School of Psychological Sciences, Faculty of Biomedical and Psychological Sciences, Monash University, Melbourne, Australia
- Decoding and Controlling Brain Information, Japan Science and Technology Agency, Chiyoda-ku, Tokyo, Japan, 102–8266
- * E-mail: (RK); (NT)
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Jacoby N, Bruneau E, Koster-Hale J, Saxe R. Localizing Pain Matrix and Theory of Mind networks with both verbal and non-verbal stimuli. Neuroimage 2015; 126:39-48. [PMID: 26589334 DOI: 10.1016/j.neuroimage.2015.11.025] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2015] [Revised: 11/06/2015] [Accepted: 11/11/2015] [Indexed: 10/22/2022] Open
Abstract
Functional localizer tasks allow researchers to identify brain regions in each individual's brain, using a combination of anatomical and functional constraints. In this study, we compare three social cognitive localizer tasks, designed to efficiently identify regions in the "Pain Matrix," recruited in response to a person's physical pain, and the "Theory of Mind network," recruited in response to a person's mental states (i.e. beliefs and emotions). Participants performed three tasks: first, the verbal false-belief stories task; second, a verbal task including stories describing physical pain versus emotional suffering; and third, passively viewing a non-verbal animated movie, which included segments depicting physical pain and beliefs and emotions. All three localizers were efficient in identifying replicable, stable networks in individual subjects. The consistency across tasks makes all three tasks viable localizers. Nevertheless, there were small reliable differences in the location of the regions and the pattern of activity within regions, hinting at more specific representations. The new localizers go beyond those currently available: first, they simultaneously identify two functional networks with no additional scan time, and second, the non-verbal task extends the populations in whom functional localizers can be applied. These localizers will be made publicly available.
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Affiliation(s)
- Nir Jacoby
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Emile Bruneau
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jorie Koster-Hale
- Department of Psychology, Harvard University, Cambridge, MA 02138, USA
| | - Rebecca Saxe
- Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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The reliability of individual differences in face-selective responses in the fusiform gyrus and their relation to face recognition ability. Brain Imaging Behav 2015; 10:707-18. [DOI: 10.1007/s11682-015-9467-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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McGugin RW, Van Gulick AE, Gauthier I. Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance. J Cogn Neurosci 2015; 28:282-94. [PMID: 26439272 DOI: 10.1162/jocn_a_00891] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
The fusiform face area (FFA) is defined by its selectivity for faces. Several studies have shown that the response of FFA to nonface objects can predict behavioral performance for these objects. However, one possible account is that experts pay more attention to objects in their domain of expertise, driving signals up. Here, we show an effect of expertise with nonface objects in FFA that cannot be explained by differential attention to objects of expertise. We explore the relationship between cortical thickness of FFA and face and object recognition using the Cambridge Face Memory Test and Vanderbilt Expertise Test, respectively. We measured cortical thickness in functionally defined regions in a group of men who evidenced functional expertise effects for cars in FFA. Performance with faces and objects together accounted for approximately 40% of the variance in cortical thickness of several FFA patches. Whereas participants with a thicker FFA cortex performed better with vehicles, those with a thinner FFA cortex performed better with faces and living objects. The results point to a domain-general role of FFA in object perception and reveal an interesting double dissociation that does not contrast faces and objects but rather living and nonliving objects.
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Haeger A, Lee H, Fell J, Axmacher N. Selective processing of buildings and faces during working memory: the role of the ventral striatum. Eur J Neurosci 2014; 41:505-13. [PMID: 25529028 DOI: 10.1111/ejn.12808] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 11/19/2014] [Indexed: 12/30/2022]
Abstract
The ventral striatum seems to play an important role during working memory (WM) tasks when irrelevant information needs to be filtered out. However, the concrete neural mechanisms underlying this process are still unknown. In this study, we investigated these mechanisms in detail. Eighteen healthy human participants were presented with multiple items consisting of faces or buildings. They either had to maintain two or four items from one category (low- and high-memory-load condition), or two from one category and suppress (filter out) two items from the other category (distraction condition). Striatal activity was increased in the distraction as compared with the high-load condition. Activity in category-specific regions in the inferior temporal cortex [fusiform face area (FFA) and parahippocampal place area (PPA)] was reduced when items from the other category needed to be selectively maintained. Furthermore, functional connectivity analysis showed significant reduction of striatal-PPA correlations during selective maintenance of faces. However, striatal-FFA connectivity was not reduced during maintenance of buildings vs. faces, possibly because face stimuli are more salient. Taken together, our results suggest that the ventral striatum supports selective WM maintenance by reduced gating of task-irrelevant activity via attenuating functional connectivity without increasing task-relevant activity correspondingly.
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Affiliation(s)
- Alexa Haeger
- Department of Epileptology, University of Bonn, Sigmund-Freud-Str. 25, 53127, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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Blank H, Kiebel SJ, von Kriegstein K. How the human brain exchanges information across sensory modalities to recognize other people. Hum Brain Mapp 2014; 36:324-39. [PMID: 25220190 DOI: 10.1002/hbm.22631] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Revised: 08/29/2014] [Accepted: 08/29/2014] [Indexed: 11/09/2022] Open
Abstract
Recognizing the identity of other individuals across different sensory modalities is critical for successful social interaction. In the human brain, face- and voice-sensitive areas are separate, but structurally connected. What kind of information is exchanged between these specialized areas during cross-modal recognition of other individuals is currently unclear. For faces, specific areas are sensitive to identity and to physical properties. It is an open question whether voices activate representations of face identity or physical facial properties in these areas. To address this question, we used functional magnetic resonance imaging in humans and a voice-face priming design. In this design, familiar voices were followed by morphed faces that matched or mismatched with respect to identity or physical properties. The results showed that responses in face-sensitive regions were modulated when face identity or physical properties did not match to the preceding voice. The strength of this mismatch signal depended on the level of certainty the participant had about the voice identity. This suggests that both identity and physical property information was provided by the voice to face areas. The activity and connectivity profiles differed between face-sensitive areas: (i) the occipital face area seemed to receive information about both physical properties and identity, (ii) the fusiform face area seemed to receive identity, and (iii) the anterior temporal lobe seemed to receive predominantly identity information from the voice. We interpret these results within a prediction coding scheme in which both identity and physical property information is used across sensory modalities to recognize individuals.
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Affiliation(s)
- Helen Blank
- Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany; MRC Cognition and Brain Sciences Unit, Cambridge CB2 7EF, United Kingdom
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Kremers NA, Deuker L, Kranz TA, Oehrn C, Fell J, Axmacher N. Hippocampal control of repetition effects for associative stimuli. Hippocampus 2014; 24:892-902. [DOI: 10.1002/hipo.22278] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2014] [Indexed: 11/06/2022]
Affiliation(s)
| | - Lorena Deuker
- Department of Epileptology; University of Bonn; Bonn Germany
| | | | - Carina Oehrn
- Department of Epileptology; University of Bonn; Bonn Germany
| | - Juergen Fell
- Department of Epileptology; University of Bonn; Bonn Germany
| | - Nikolai Axmacher
- Department of Epileptology; University of Bonn; Bonn Germany
- German Center for Neurodegenerative Diseases; Bonn Germany
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Haist F, Adamo M, Han J, Lee K, Stiles J. The functional architecture for face-processing expertise: FMRI evidence of the developmental trajectory of the core and the extended face systems. Neuropsychologia 2013; 51:2893-908. [PMID: 23948645 PMCID: PMC3825803 DOI: 10.1016/j.neuropsychologia.2013.08.005] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2013] [Revised: 08/02/2013] [Accepted: 08/02/2013] [Indexed: 01/21/2023]
Abstract
Expertise in processing faces is a cornerstone of human social interaction. However, the developmental course of many key brain regions supporting face preferential processing in the human brain remains undefined. Here, we present findings from an FMRI study using a simple viewing paradigm of faces and objects in a continuous age sample covering the age range from 6 years through adulthood. These findings are the first to use such a sample paired with whole-brain FMRI analyses to investigate development within the core and extended face networks across the developmental spectrum from middle childhood to adulthood. We found evidence, albeit modest, for a developmental trend in the volume of the right fusiform face area (rFFA) but no developmental change in the intensity of activation. From a spatial perspective, the middle portion of the right fusiform gyrus most commonly found in adult studies of face processing was increasingly likely to be included in the FFA as age increased to adulthood. Outside of the FFA, the most striking finding was that children hyperactivated nearly every aspect of the extended face system relative to adults, including the amygdala, anterior temporal pole, insula, inferior frontal gyrus, anterior cingulate gyrus, and parietal cortex. Overall, the findings suggest that development is best characterized by increasing modulation of face-sensitive regions throughout the brain to engage only those systems necessary for task requirements.
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Affiliation(s)
- Frank Haist
- Psychiatry Department, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
| | - Maha Adamo
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
| | - Jarnet Han
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
| | - Kang Lee
- Dr. Eric Jackman Institute of Child Study, University of Toronto, 45 Walmer Road, Toronto, Ontario M5R 2X2 Canada
| | - Joan Stiles
- Center for Human Development, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
- Cognitive Science Department, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0115 USA
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Mende-Siedlecki P, Verosky SC, Turk-Browne NB, Todorov A. Robust selectivity for faces in the human amygdala in the absence of expressions. J Cogn Neurosci 2013; 25:2086-106. [PMID: 23984945 DOI: 10.1162/jocn_a_00469] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
There is a well-established posterior network of cortical regions that plays a central role in face processing and that has been investigated extensively. In contrast, although responsive to faces, the amygdala is not considered a core face-selective region, and its face selectivity has never been a topic of systematic research in human neuroimaging studies. Here, we conducted a large-scale group analysis of fMRI data from 215 participants. We replicated the posterior network observed in prior studies but found equally robust and reliable responses to faces in the amygdala. These responses were detectable in most individual participants, but they were also highly sensitive to the initial statistical threshold and habituated more rapidly than the responses in posterior face-selective regions. A multivariate analysis showed that the pattern of responses to faces across voxels in the amygdala had high reliability over time. Finally, functional connectivity analyses showed stronger coupling between the amygdala and posterior face-selective regions during the perception of faces than during the perception of control visual categories. These findings suggest that the amygdala should be considered a core face-selective region.
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Engell AD, McCarthy G. Probabilistic atlases for face and biological motion perception: an analysis of their reliability and overlap. Neuroimage 2013; 74:140-51. [PMID: 23435213 PMCID: PMC3690657 DOI: 10.1016/j.neuroimage.2013.02.025] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 01/07/2013] [Accepted: 02/02/2013] [Indexed: 11/24/2022] Open
Abstract
Neuroimaging research has identified several category-selective regions in visual cortex that respond most strongly when viewing an exemplar image from a preferred category, such as faces. Recent studies, however, have suggested a more complex pattern of activation that has been heretofore unrecognized, e.g., the presence of additional patches of activation to faces beyond the well-studied fusiform face area, and the activation of ostensible face selective regions by animate motion of non-biological forms. Here, we characterize the spatial pattern of brain activity evoked by viewing faces or biological motion in large fMRI samples (N>120). We create probabilistic atlases for both face and biological motion activation, and directly compare their spatial patterns of activation. Our findings support the suggestion that the fusiform face area is composed of at least two separable foci of activation. The face-evoked response in the fusiform and nearby ventral temporal cortex has good reliability across runs; however, we found surprisingly high variability in lateral brain regions by faces, and for all brain regions by biological motion, which had an overall much lower effect size. We found that faces and biological motion evoke substantially overlapping activation distributions in both ventral and lateral occipitotemporal cortices. The peaks of activation for these different categories within these overlapping regions were close but distinct.
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Affiliation(s)
- Andrew D. Engell
- Human Neuroscience Laboratory, Department of Psychology, Yale University, New Haven, CT, USA
| | - Gregory McCarthy
- Human Neuroscience Laboratory, Department of Psychology, Yale University, New Haven, CT, USA
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