Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry

Sylvester, Chad M.; Yu, Qiongru; Srivastava, A. Benjamin; Marek, Scott; Zheng, Annie; Alexopoulos, Dimitrios; Smyser, Christopher D.; Shimony, Joshua S.; Ortega, Mario; Dierker, Donna L.; Patel, Gaurav H.; Nelson, Steven M.; Gilmore, Adrian W.; McDermott, Kathleen B.; Berg, Jeffrey J.; Drysdale, Andrew T.; Perino, Michael T.; Snyder, Abraham Z.; Raut, Ryan V.; Laumann, Timothy O.; Gordon, Evan M.; Deanna, M; Rogers, Cynthia; Greene, Deanna J.; Raichle, Marcus E.; Dosenbach, Nico U.F.

doi:10.1073/pnas.1910842117

Cited by 112 publications

(99 citation statements)

References 99 publications

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“…While the field of precision fMRI has recently emerged in human brain research 4,7,12,33,34 , rodent data are still analyzed at the group level 35,36 . A major challenge in precision fMRI is the need of large amount of data per subject ranging from 50 to 100 minutes based on the studied brain structure 37 .…”

Section: Discussionmentioning

confidence: 99%

Individual variability in functional connectivity architecture of the mouse brain

Bergmann

Gofman

Kavushansky

et al. 2020

Preprint

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The functional organization of brain networks can be estimated using fMRI by examining the coherence of spontaneous fluctuations in the fMRI signal, a method known as resting-state functional connectivity MRI. Previous studies in humans reported that such functional networks are dominated by stable group and individual factors, demonstrating that fMRI is suited to measuring subject-specific characteristics, and suggesting the utility of such precision fMRI approach in personalized medicine. However, mechanistic investigations to the sources of individual variability in health and disease are limited in humans and thus require animal models.Here, we used repeated-measurement resting-state fMRI in awake mice to quantify the contribution of individual variation to the functional architecture of the mouse cortex. Comparing the organization of functional networks across the group, we found dominant common organizational principles. The data also revealed stable individual features, which create a unique fingerprint that allow identification of individual mice from the group. Examining the distribution of individual variation across the mouse cortex, we found it is homogeneously distributed in both sensory and association networks. Finally, connectome-based predictive modeling of motor behavior in the rotarod task revealed that individual variation in functional connectivity explained behavioral variability. Collectively, these results show that mouse functional networks are characterized by individual variations suggesting that individual variation characterizes the mammalian cortex in general, and not only the primate cortex. These findings lay the foundation for future mechanistic investigations of individual brain organization and pre-clinical studies of brain disorders in the context of personalized medicine.

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Section: Discussionmentioning

confidence: 99%

Individual variability in functional connectivity architecture of the mouse brain

Bergmann

Gofman

Kavushansky

et al. 2020

Preprint

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“…Recent work has demonstrated that functional networks can be described in an individualspecific manner if sufficient rs-fMRI data are acquired, an approach termed Precision Functional Mapping (PFM) (22,23,(26)(27)(28)(29)(30). PFM respects the unique functional anatomy of each person and avoids averaging together functionally distinct brain regions across individuals.…”

Section: Introductionmentioning

confidence: 99%

Cingulo-Opercular Control Network Supports Disused Motor Circuits in Standby Mode

Newbold

Gordon

Laumann

et al. 2020

Preprint

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Two weeks of upper extremity casting induced plasticity beyond somatomotor regions. Whole-brain resting-state functional MRI (rs-fMRI) revealed that disused motor regions became more strongly connected to the cingulo-opercular network (CON), an executive control network that includes regions of the dorsal anterior cingulate cortex (dACC) and insula. Disuse-driven increases in functional connectivity (FC) were specific to the CON and somatomotor networks and did not involve any other networks, such as the salience, frontoparietal or default mode networks. FC increases during casting were mediated by large, spontaneous activity pulses that appeared in disused motor regions and network-adjacent CON control regions. During limb constraint, disused motor circuits appear to enter a standby mode characterized by spontaneous activity pulses and strengthened connectivity to CON executive control regions.

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“…Research in humans has confirmed the basic findings about both threat and appetitive processing in the amygdala (13,14). In addition, as noted by Sylvester et al (1), the human amygdala has been implicated in a variety of clinical problems, including symptoms associated with anxiety disorders, addiction, depression, eating disorders, and other conditions. However, progress in understanding the neural basis of clinical symptoms has been limited by the relatively poor resolution of the methods available to study the human brain.…”

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confidence: 58%

“…Of note is that while the empirically defined individual partitions recapitulated the more traditional template partitions in a general sense, there was considerable variability across individuals as to the exact location of their subdivisions. Based on this, Sylvester et al (1) conclude that applying a common template to all individuals will mislabel the amygdala subdivisions in many individuals. Sylvester et al (1) suggest that their work may help lay the foundation for creating models of amygdala function and dysfunction in individual patients.…”

Section: Partitioning the Human Amygdala Using Functional Imagingmentioning

confidence: 99%

A new vista in psychiatric treatment: Using individualized functional connectivity to track symptoms

LeDoux¹,

Lau²

2020

Proc. Natl. Acad. Sci. U.S.A.

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In PNAS, Sylvester et al. (1) assess the functional connectivity of the human amygdala with well-established brain networks using functional magnetic resonance imaging (fMRI). This focus on the amygdala was chosen because this region has been often implicated in psychiatric conditions. Better understanding of its connectivity and functions may therefore be helpful as the field moves in the direction of individualized treatments for psychiatric problems. Amygdala Structure and Function The amygdala was first identified in the early 19th century when the German anatomist, Karl Friedrich Burdach, came across an almond-shaped structure in the human brain and named it using a word derived from the Greek word for almond (2). A century later, the term amygdala had come to designate a larger area in which the almond-shaped region was only a component. Today, the amygdala is recognized to have more than 12 anatomical areas, or nuclei, each with several subdivisions and unique patterns of connectivity in the brain (3, 4). These are sometimes grouped into three partitions: basolateral, centromedial, and cortical (5). Despite the singular designation, the amygdala, like all brain areas, is a twin structure, with one amygdala in each cerebral hemisphere. From a comparative perspective, the amygdala is a common feature of the vertebrate brain, although it is considerably more developed in mammals than in other vertebrates (6). When discussing brain areas, it is important to recognize that the criteria used in their initial characterization, often in the 19th century, were relatively crude. Consequently, with modern methods the boundaries of areas often shift, and sometimes what seemed like two areas may turn out to be a continuous one,

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Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry

Cited by 112 publications

References 99 publications

Individual variability in functional connectivity architecture of the mouse brain

Individual variability in functional connectivity architecture of the mouse brain

Cingulo-Opercular Control Network Supports Disused Motor Circuits in Standby Mode

A new vista in psychiatric treatment: Using individualized functional connectivity to track symptoms

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