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Archival Report|Articles in Press

Neural Network Functional Interactions Mediate or Suppress WM-Emotional Behavior Relationships in Infants

Open AccessPublished:March 12, 2023DOI:https://doi.org/10.1016/j.biopsych.2023.03.004

      ABSTRACT

      Background

      Elucidating the neural basis of infant positive emotionality (PE) and negative emotionality (NE) can identify biomarkers of pathophysiological risk. Our goal was to determine how functional interactions among large-scale networks supporting emotional regulation influence WM microstructural-emotional behavior relationships in 3-month-old infants. We hypothesized that microstructural-emotional behavior relationships would be differentially mediated or suppressed by underlying resting-state functional connectivity (rsFC), particularly between Default Mode Network (DMN) and Central Executive Network (CEN) structures.

      Methods

      The analytic sample comprised primary caregiver-infant dyads [52 infants (42% female, mean age at scan=15.10 weeks)], with infant neuroimaging and emotional behavior assessments at 3 months. Infant WM and rsFC were assessed by diffusion-weighted imaging/tractography and resting-state magnetic resonance imaging (MRI) during natural, non-sedated sleep. The Infant Behavior Questionnaire-R provided measures of infant PE and NE.

      Results

      Following significant WM-emotional behavior relationships, multimodal analyses were performed using whole-brain voxelwise mediation. Results revealed that greater cingulum bundle volume was significantly associated with lower infant PE (ß = -0.263, p = 0.031); however, a pattern of lower rsFC between CEN and DMN structures suppressed this otherwise negative relationship. Greater uncinate fasciculus volume was significantly associated with lower infant NE (ß = -0.296, p = 0.022); however, lower orbitofrontal cortex (OFC)-amygdala rsFC, suppressed this otherwise negative relationship, while greater OFC-CEN rsFC mediated this relationship.

      Conclusions

      Functional interactions among neural networks have an important influence on WM microstructural-emotional behavior relationships in infancy. These relationships can elucidate neural mechanisms contributing to future behavioral and emotional problems in childhood.

      Keywords

      Introduction

      Temperamental features/emotional behaviors (i.e., low positive emotionality(PE), high negative emotionality(NE)), are early risk factors for subsequent behavioral and emotional problems(
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      ); however, none focused on rsFC between large-scale networks or on infant PE.
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      Prenatal stress exposure and multimodal assessment of amygdala–medial prefrontal cortex connectivity in infants.
      ,

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      Development of Amygdala Functional Connectivity During Infancy and Its Relationship With 4-Year Behavioral Outcomes.
      ).
      The goal of the present study was to employ multimodal neuroimaging to examine how functional interactions between large-scale neural networks supporting emotional regulation influence WM microstructural-emotional behavior relationships in 3-month-old infants. We first examined relationships between WM microstructure and infant PE and NE, focusing on three key WM tracts interconnecting regions in the DMN and CEN: CB, UF and FM. In order to integrate structural and functional measures, we used mediation models, where endogenous rsFC within these large-scale networks mediated relationships between WM and infant PE and NE. Measures of caregiver affect and socioeconomic status(SES) are included as additional predictors in our analyses.
      Based on our prior work indicating a relationship between greater UF volume and higher later NE(27), and previous research showing relationships between greater CEN-DMN rsFC and lower emotional regulation capacity(
      • Alonso‐Lana S
      • Moro N
      • McKenna PJ
      • Sarró S
      • Romaguera A
      • Monté GC
      • et al.
      Longitudinal brain functional changes between mania and euthymia in bipolar disorder.
      ,
      • Breukelaar IA
      • Erlinger M
      • Harris A
      • Boyce P
      • Hazell P
      • Grieve SM
      • et al.
      Investigating the neural basis of cognitive control dysfunction in mood disorders.
      ,
      • Gärtner M
      • Ghisu ME
      • Scheidegger M
      • Bönke L
      • Fan Y
      • Stippl A
      • et al.
      Aberrant working memory processing in major depression: evidence from multivoxel pattern classification.
      ,
      • Rodríguez-Cano E
      • Sarró S
      • Monté GC
      • Maristany T
      • Salvador R
      • McKenna PJ
      • et al.
      Evidence for structural and functional abnormality in the subgenual anterior cingulate cortex in major depressive disorder.
      ,
      • Rose EJ
      • Simonotto E
      • Ebmeier KP
      Limbic over-activity in depression during preserved performance on the n-back task.
      ,
      • Fernández-Corcuera P
      • Salvador R
      • Monté GC
      • Sarró SS
      • Goikolea JM
      • Amann B
      • et al.
      Bipolar depressed patients show both failure to activate and failure to de-activate during performance of a working memory task.
      ,
      • Rodríguez‐Cano E
      • Alonso‐Lana S
      • Sarró S
      • Fernández‐Corcuera P
      • Goikolea JM
      • Vieta E
      • et al.
      Differential failure to deactivate the default mode network in unipolar and bipolar depression.
      ,
      • Pomarol-Clotet E
      • Moro N
      • Sarró S
      • Goikolea JM
      • Vieta E
      • Amann B
      • et al.
      Failure of de-activation in the medial frontal cortex in mania: evidence for default mode network dysfunction in the disorder.
      ,
      • Bartova L
      • Meyer BM
      • Diers K
      • Rabl U
      • Scharinger C
      • Popovic A
      • et al.
      Reduced default mode network suppression during a working memory task in remitted major depression.
      ), we hypothesized that greater CEN-DMN connectivity would mediate(facilitate) relationships between greater WM volume and lower PE/higher NE, while lower CEN-DMN connectivity would suppress(reduce) those relationships.

      Methods and Materials

      Study Design and Participants

      Overview

      The study sample comprised caregiver-infant dyads, with both neuroimaging of the infant and caregiver report of infant emotional behavior at 3 months. Neuroimaging was completed at Children’s Hospital of Pittsburgh(CHP) between September 2018 and March 2020 (no caregiver or infant underwent study procedures during the COVID-19 shutdown period). All procedures were approved by the University of Pittsburgh Institutional Review Board.
      Infants were healthy at birth with the following exclusion criteria: premature birth(prior to 37 weeks), low birthweight(<5.5lb; caregiver report, medical records), abnormal morphometry(i.e., small occipitofrontal circumference(<32cm)), abnormal APGAR scores(<7 at 5 mins) and extended hospitalization for physical health problems, including neurological illness. Infant MRI metal exclusion criteria were pacemakers, aneurysm clips and non-removable ferromagnetic material. Caregivers were excluded if they had prenatal/concurrent illicit substance use/substance use disorder(obstetric records/self-report), respectively, <2 hours/day care of their infant or were <18 years old(unable to give informed written consent).

      Participants

      Participants comprised 79 caregivers and their 3-month-old infants recruited from the community, including hospital postnatal wards, pediatric practices and a university research registry. Fifty-seven infants had usable DWI data; one was subsequently excluded for unreported low birthweight, and four others had incomplete behavioral data, leaving 52 caregiver-infant dyads(caregivers: 98% biological mothers, ages 20-42, mean=31.54 years, SD=4.09; infants: 42% female, ages 10-22 weeks, mean=15.10 weeks, SD=2.93; Supplement, Table S1.)

      Magnetic Resonance Imaging (MRI) Procedures

      At 3 months of age, infants underwent an MRI scan on a Siemens 3 Tesla Skyra system using a 32-channel head coil during natural, non-sedated sleep using the feed-and-wrap technique(
      • Haney B
      • Reavey D
      • Atchison L
      • Poull J
      • Dryer L
      • Anderson B
      • et al.
      Magnetic resonance imaging studies without sedation in the neonatal intensive care unit: safe and efficient.
      ,
      • Windram J
      • Grosse-Wortmann L
      • Shariat M
      • Greer M-L
      • Crawford MW
      • Yoo S-J
      Cardiovascular MRI without sedation or general anesthesia using a feed-and-sleep technique in neonates and infants.
      ).

      DWI Acquisition and Preprocessing

      DWI data were acquired using a multi-shell diffusion scheme with 2mm slice thickness; two sequences were acquired, one with posterior to anterior phase encoding with 10 b0 volumes(TR=2500 ms, TE=80 ms, voxel size=2.0× 2.0×2.0 mm3, FoV=200 mm), and another with posterior to anterior phase encoding with 159 volumes with b-values of 750 (50 directions) and 2000 (100 directions) s/mm2 (TR=3000 ms, TE=97 ms, voxel size = 2.0×2.0×2.0 mm3, FoV=200 mm).

      DWI data were preprocessed using fMRI Software Library(FSL)’s TOPUP and EDDY tools.

      Using described methods(
      • Andersson JLR
      • Skare S
      A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI.
      ), FSL’s TOPUP tool corrected for susceptibility-induced distortions. FSL’s BET removed non-brain tissue(
      • Smith SM
      Fast robust automated brain extraction.
      ) and EDDY then corrected for eddy current distortions and subject motion(
      • Andersson JLR
      • Graham MS
      • Zsoldos E
      • Sotiropoulos SN
      Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images.
      ). Images with artifact, signal loss or distortion were excluded from further analyses(n=22/79 infants; Supplement).

      DWI Tractography

      Using DSI Studio software, DWI data were reconstructed using a native-space generalized q-sampling imaging(GQI) approach(
      • Yeh FC
      • Wedeen VJ
      • Tseng W
      Generalized q-sampling imaging.
      ). Tractography was performed for each targeted tract (e.g., left and right CB, left and right UF and FM) using the Automated Fiber Tracking(AutoTrack) function with consistent parameters across infants(Supplement, Table S2, Fig. S1). Only the frontoparietal/“standard” cingulum(
      • Jones DK
      • Christiansen KF
      • Chapman RJ
      • Aggleton JP
      Distinct subdivisions of the cingulum bundle revealed by diffusion MRI fibre tracking: implications for neuropsychological investigations.
      ) was included in the tractography. Mean fractional anisotropy(FA)(
      • Yeh F-C
      • Verstynen TD
      • Wang Y
      • Fernández-Miranda JC
      • Tseng W-YI
      Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy.
      ) and tract volume were extracted from each tract and averaged across hemispheres for CB and UF. Extracted axial and radial diffusivity, and intracranial volume (ICV, calculated from the brain mask of the b0 image) were used for post-hoc, exploratory analyses.

      RsFC Acquisition and Preprocessing

      To enhance the likelihood of acquiring usable data, two, five-minute resting-state imaging acquisitions were conducted. Resting-state data were acquired using echo-planar imaging (EPI)-blood-oxygenation-level dependent(BOLD), voxel size=3 mm3 isotropic, TR=800 ms, TE=32 ms, simultaneous multi-slice(SMS) factor=4,380 total frames acquired.
      Previous methods(
      • Power JD
      • Mitra A
      • Laumann TO
      • Snyder AZ
      • Schlaggar BL
      • Petersen SE
      Methods to detect, characterize, and remove motion artifact in resting state fMRI.
      ) were used to minimize the risk of spurious resting-state correlations due to participant motion(Supplement). Five infants with usable DWI and behavioral data did not have usable rsFC data, leaving 47 infants for multimodal DWI and rsFC analyses.

      Behavioral Assessments

      Infant emotional behavior and caregiver (e.g., affect and sociodemographic) questionnaires were completed at an initial in-person, at home visit. The Edinburgh Postnatal Depression Scale(EPDS) was readministered if the scan visit fell beyond two weeks following the home visit.

      Infant Emotional Behavior

      Infant emotional behavior was measured via caregiver report at 3 months using the Infant Behavior Questionnaire Revised(IBQ- R)(
      • Gartstein MA
      • Rothbart MK
      Studying infant temperament via the Revised Infant Behavior Questionnaire.
      ). PE and NE composites were calculated using the raw IBQ-R data with a mean of the items from each of the relevant subscales (i.e., PE - smiling, laughter and high pleasure; NE - sadness, distress, fear and falling reactivity subscales(
      • Phillips ML
      • Schmithorst VJ
      • Banihashemi L
      • Taylor M
      • Samolyk A
      • Northrup JB
      • et al.
      Patterns of Infant Amygdala Connectivity Mediate the Impact of High Caregiver Affect on Reducing Infant Smiling: Discovery and Replication.
      ,
      • Gartstein MA
      • Rothbart MK
      Studying infant temperament via the Revised Infant Behavior Questionnaire.
      )).

      Caregiver Affect and Sociodemographic Covariates

      As caregiver affect and SES are also important for neurodevelopment(
      • Borchers LR
      • Dennis EL
      • King LS
      • Humphreys KL
      • Gotlib IH
      Prenatal and postnatal depressive symptoms, infant white matter, and toddler behavioral problems.
      ,
      • Phillips ML
      • Schmithorst VJ
      • Banihashemi L
      • Taylor M
      • Samolyk A
      • Northrup JB
      • et al.
      Patterns of Infant Amygdala Connectivity Mediate the Impact of High Caregiver Affect on Reducing Infant Smiling: Discovery and Replication.
      ,
      • Dean I
      • Douglas C.
      • Planalp EM
      • Wooten W
      • Kecskemeti SR
      • Adluru N
      • Schmidt CK
      • et al.
      Association of Prenatal Maternal Depression and Anxiety Symptoms With Infant White Matter Microstructure.
      ,

      Qiu A, Anh TT, Li Y, Chen H, Rifkin-Graboi A, Broekman BFP, et al. (2019): Prenatal maternal depression alters amygdala functional connectivity in 6-month-old infants. Nature Publishing Group.1 - 7.

      ,
      • Gao W
      • Alcauter S
      • Elton A
      • Hernandez-Castillo CR
      • Smith JK
      • Ramirez J
      • et al.
      Functional Network Development During the First Year: Relative Sequence and Socioeconomic Correlations.
      ,
      • Dégeilh F
      • Beauchamp MH
      • Leblanc É
      • Daneault V
      • Bernier A
      Socioeconomic Status in Infancy and the Developing Brain: Functional Connectivity of the Hippocampus and Amygdala.
      ), we included these measures as additional predictors in analyses. Caregiver depressed mood and affective instability were assessed at 3 months using the EPDS(92) and the Personality Assessment Inventory-Borderline Features Scale(PAI-BOR(93)), respectively. A summary measure of public assistance was used as a SES proxy(Supplement, Table S1). (Supplement Table S3-correlations among behavioral and imaging variables.)

      Statistical Analyses

      WM-Emotional Behavior Relationships

      Elastic net regressions using GLMNET in R (v.3.6.0) with cross validation(

      Friedman J, Hastie T, Simon N, Tibshirani R (2016): Package glmnet: lasso and elastic-net regularized generalized linear models ver 2.0.

      ) were performed for variable selection. We included 6 variables representing WM microstructure (FA and volume from each of the 3 tracts, UF, CB, FM), infant sex and age at scan(weeks), and caregiver age, SES, and EPDS and PAI-BOR scores at the time of the infant scan. Outcome variables included PE and NE evaluated in two separate models(Supplement, Figs. S2 & S3).
      General Linear Models(GLM) were performed with elastic net-selected variables using a robust estimator(all variables and outcomes were Z-scored). Bootstrapped 95% confidence intervals(CIs) were generated using 1000 samples(bias corrected accelerated) and used to assess statistical significance. Post-hoc, exploratory GLMs substituting axial(AD) or radial diffusivity(RD) for significant WM volume variables were performed, as well as analyses including ICV as an additional predictor.

      Mediation Analyses

      For an overview of Mediation/Suppression analyses, see the Supplement. For rsFC, we included representative seed regions within the CEN(dlPFC) and DMN(PCC) with a whole-brain target. The medial OFC, a key UF region (
      • Von Der Heide RJ
      • Skipper LM
      • Klobusicky E
      • Olson IR
      Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis.
      ), was an additional seed(Supplement). The Shi et al. neonatal parcellation atlas provided seeds(
      • Shi F
      • Yap P-T
      • Wu G
      • Jia H
      • Gilmore JH
      • Lin W
      • et al.
      Infant Brain Atlases from Neonates to 1- and 2-Year-Olds.
      ).
      We then performed whole-brain voxelwise mediation analyses(n=47), with WM measures as the independent variables, rsFC as mediators, and NE and PE as separate outcome variables, focusing on the significant WM-emotional behavior relationships. The same covariates were used as in the elastic net regressions examining WM-emotional behavior relationships, adding a variable for resting-state image quality(square root of the number of retained functional MRI frames). Coefficients were extracted for a and b arms of the indirect effect, reflecting the WM-rsFC and rsFC-emotional behavior relationships, respectively; and the total effect, c, and direct effect, c’(Supplement). As there are not established directional relationships between WM structure, rsFC and behavior, we also performed secondary reverse mediations in which WM mediated the relationships between rsFC and infant emotionality(PE/NE) using the same seed regions for rsFC as in the main analyses.

      Results

      WM-Emotional Behavior Relationships

      Positive Emotionality

      Elastic net selected: FM FA (elastic net coefficients, 2.99), infant sex (0.33), 3-month infant age (0.08), caregiver postnatal depression (-0.04), CB volume (-1.85E-04) and FM volume (1.68E-04) as predicting PE at 3 months.
      Post-hoc GLM showed that CB volume was the only significant predictor of PE (ß=-0.263, p=0.031, CI: -0.526,-0.049; Fig. 1, Table 1A). [EPDS approached significance (ß=-0.206, p=0.051), although not indicated by CIs.] Post-hoc, exploratory GLM substituting CB AD or RD for CB volume into the model did not reveal significant effects of CB AD or RD on PE (Supplement, Table S4&5). When ICV was included as an additional predictor in the PE model, averaged CB volume remains significant (ß=-0.252, p=0.035, Supplement, Table S6A).
      Figure thumbnail gr1
      Figure 1Lower CEN-DMN Resting-state Functional Connectivity Suppressed the Relationship between Cingulum Bundle Volume and Positive Emotionality. The plot displays the significant, negative relationship between cingulum bundle (CB) volume and positive emotionality (ß=-0.263, p=0.031), i.e., the direct effect (c’). Schematic depictions of the mediation analyses with resting-state functional connectivity (rsFC) of the dorsolateral prefrontal cortex (dlPFC/Anterior Central Executive Network, CEN) seed (Top) and the posterior cingulate cortex (PCC/Posterior Default Mode Network, DMN) seed (Bottom) depict the negative relationships (red arrows) of the a (CB volume-rsFC) and b (rsFC-PE) arms of the mediations. Images depict suppression effects (light blue) of dlPFC/Anterior CEN connectivity with predominantly DMN regions: middle temporal gyrus (MTG), angular gyrus (AG) and precuneus (PC), and suppression effects of PCC/Posterior DMN connectivity with a CEN region, the middle frontal gyrus (MFG). Thus, lower CEN-DMN/DMN-CEN connectivity suppressed the otherwise negative relationship between CB volume and infant PE (pFWE-corrected < 0.05).
      Table 1General Linear Model Results: White Matter-Infant Emotionality Relationships
      A. Infant Positive Emotionality
      BetaStd. Errorp
      Infant Sex.186.1070.083
      Infant Age (weeks, 3m).230.1272.070
      Postnatal Depression (EPDS)-.206.1056.051
      Forceps Minor FA.142.1204.237
      Cingulum Bundle Volume-.263.1216.031
      Forceps Minor Volume.189.1197.114
      B. Infant Negative Emotionality
      Affective Instability (PAI-BOR).331.1488.026
      Forceps Minor FA.175.1457.229
      Uncinate Fasciculus Volume-.296.1295.022
      Postnatal Depression (Edinburgh Postnatal Depression Scale, EPDS); Fractional Anisotropy (FA); Affective Instability (Personality Assessment Inventory–Borderline Features Scale, PAI-BOR)

      Negative Emotionality

      Elastic net selected: FM FA (elastic net coefficients, 0.47), caregiver affective instability (0.02) and UF volume (-4.12E-05) as predicting NE.
      Post-hoc GLM showed that both caregiver affective instability (ß=0.331, p=0.026, CI: 0.017, 0.710) and UF volume (ß=-0.296, p=0.022, CI: -0.533,-0.087; Fig. 2) were significant predictors of NE (Table 1B). Post-hoc, exploratory GLM substituting UF AD or RD for UF volume into the model did not reveal significant effects of UF AD or RD on NE (Supplement, Table S4&5). When ICV was included as an additional predictor in the NE model, averaged UF volume was no longer significant (ß=-0.180, p=0.169, Supplement, Table 6B&C).
      Figure thumbnail gr2
      Figure 2Lower OFC-Amygdala and OFC-DMN Resting-state Functional Connectivity Suppressed the Relationship between Uncinate Fasciculus Volume and Negative Emotionality While Greater OFC-DMN and OFC-CEN Connectivity Mediated This Relationship. The plot displays the significant, negative relationship between uncinate fasciculus (UF) volume and negative emotionality (ß=-0.296, p=0.022), i.e., the direct effect (c’). Schematic depictions of the mediation analyses with resting-state functional connectivity (rsFC) of the orbitofrontal cortex (OFC) seed depict the negative (Top, red arrow) and positive relationships (Bottom, green arrow) of the a (UF volume-OFC rsFC) arm, and the negative relationships (red arrows) of the b (OFC rsFC-NE) arms of the mediations. Top: Images depict suppression effects (blue) of OFC connectivity with the amygdala and DMN regions, including inferior frontal gyrus (IFG) and middle temporal gyrus (MTG). Thus, lower OFC-amygdala and OFC-DMN connectivity suppressed the otherwise negative relationship between UF volume and infant NE. Bottom: Images depict mediation effects (light green) of OFC connectivity with DMN regions: superior frontal gyrus (SFG) and angular gyrus (AG), and CEN regions: supramarginal gyrus (SMG) and middle frontal gyrus (MFG). Thus, greater OFC-DMN and OFC-CEN connectivity mediated the negative relationship between UF volume and infant NE (pFWE-corrected < 0.05).

      RsFC Mediates or Suppresses WM-Emotional Behavior Relationships

      CB Volume, dlPFC rsFC & PE

      The WM-emotional behavior relationship was a negative association between CB volume and infant PE. Mediation analyses (abbreviated results described in text, all pFWE-corrected < 0.05) revealed significant positive indirect relationships (suppression). Here, greater CB volume was associated with lower dlPFC (anterior CEN) connectivity with predominantly DMN regions: middle temporal gyrus, angular gyrus and precuneus; and lower dlPFC-DMN connectivity was associated with greater PE (Fig. 1, Fig. S4). Thus, lower CEN-DMN connectivity suppressed the otherwise negative relationship between CB volume and infant PE (Table 2A).
      Table 2DlPFC & PCC Resting-state Connectivity Suppressed the Negative Relationship between Cingulum Bundle Volume and Infant Positive Emotionality
      A. Resting-state Connectivity Seed: Dorsolateral Prefrontal Cortex (dlPFC) – Anterior CEN
      RegionsCoordinateskabDirectTotalIndirectIndirect CIsM/S
      Middle temporal gyrus left-33, -36, 1064-3.50E-04-7.72E-01-4.38E-04-1.68E-042.70E-040.000121, 0.001450S
      Middle temporal gyrus right32, -40, 1168-2.90E-04-7.00E-01-3.71E-04-1.68E-042.03E-040.000043, 0.000653S
      Angular gyrus right29, -40, 2278-2.92E-04-5.80E-01-3.38E-04-1.68E-041.69E-040.000036, 0.000500S
      Angular gyrus left-29, -39, 2250-2.65E-04-4.52E-01-2.88E-04-1.68E-041.20E-040.000013, 0.000657S
      Precuneus right8, -42, 2668-3.30E-04-3.60E-01-2.87E-04-1.68E-041.19E-040.000017, 0.000640S
      Postcentral gyrus left-25, -20, 39564.66E-042.37E-01-2.79E-04-1.68E-041.10E-040.000018, 0.000648S
      Superior parietal gyrus left-15, -39, 3111-2.59E-04-4.17E-01-2.76E-04-1.68E-041.08E-040.000005, 0.000429S
      Superior temporal gyrus right35, -30, 1524-2.88E-04-3.44E-01-2.67E-04-1.68E-049.90E-050.000007, 0.000635S
      Paracentral lobule left-8, -22, 47283.54E-042.67E-01-2.63E-04-1.68E-049.46E-050.000016, 0.000548S
      Middle occipital gyrus left-22, -43, 2314-2.05E-04-4.40E-01-2.58E-04-1.68E-049.02E-05-0.000017, 0.000360S
      Supramarginal gyrus right35, -31, 2014-1.86E-04-2.87E-01-2.22E-04-1.68E-045.34E-05-0.000007, 0.000597S
      Precuneus left-9, -37, 2941-1.80E-04-2.92E-01-2.21E-04-1.68E-045.26E-05-0.000012, 0.000456S
      Superior occipital gyrus right14, -47, 2520-2.31E-04-2.13E-01-2.17E-04-1.68E-044.92E-05-0.000007, 0.000361S
      Cuneus right10, -48, 2318-1.95E-04-1.63E-01-2.00E-04-1.68E-043.18E-05-0.000013, 0.000478S
      Inferior parietal lobule left-27, -29, 30172.23E-04-1.04E-02-1.66E-04-1.68E-04-2.33E-06-0.000187, 0.000100M
      B. Resting-state Connectivity Seed: Posterior Cingulate Cortex (PCC) – Posterior DMN
      Middle frontal gyrus left-23, 16, 2269-2.34E-04-6.02E-01-3.09E-04-1.68E-041.41E-040.000005, 0.000566S
      k – number of voxels within a cluster; a – independent variable-to-mediator relationship; b - mediator-to-dependent variable relationship; M/S – Mediation/Suppression.

      CB Volume, PCC rsFC & PE

      Mediation analyses revealed a significant positive indirect relationship (suppression). Here, greater CB volume was associated with lower PCC (posterior DMN) connectivity with a CEN region, the middle frontal gyrus; and lower PCC-middle frontal gyrus connectivity was associated with greater PE (Fig. 1, Fig. S5). Thus, lower DMN-CEN connectivity suppressed the otherwise negative relationship between CB volume and infant PE (Table 2B).

      UF Volume, OFC rsFC & NE

      The WM-emotional behavior relationship was a negative association between UF volume and infant NE. Mediation analyses revealed significant positive indirect relationships (suppression). Here, greater UF volume was associated with lower OFC connectivity with the amygdala (salience network) and DMN regions, including inferior frontal gyrus, middle temporal gyrus and intra-OFC (inferior) connectivity; and lower OFC-amygdala and OFC-DMN connectivity patterns were associated with greater NE (Fig. 2, Fig. S6). Thus, lower OFC-amygdala and OFC-DMN connectivity suppressed the otherwise negative relationship between UF volume and infant NE (Table 3).
      Table 3Orbitofrontal Cortex Resting-state Connectivity Suppressed and Mediated the Negative Relationship between Uncinate Fasciculus Volume and Infant Negative Emotionality
      Resting-state Connectivity Seed: Orbitofrontal Cortex (OFC) – Limbic, DMN
      CoordinatesRegionskabDirectTotalIndirectIndirect CIsM/S
      Amygdala left-18, -5, -1012-4.53E-04-3.29E-01-3.91E-04-2.42E-041.49E-040.000042, 0.000418S
      Inferior frontal gyrus triangular left-30, 18, 786-4.69E-04-2.64E-01-3.65E-04-2.42E-041.24E-040.000050, 0.000388S
      Middle temporal gyrus left-34, -28, 060-4.58E-04-2.03E-01-3.35E-04-2.42E-049.30E-050.000022, 0.000323S
      Orbitofrontal cortex inferior left-25, 21, -213-4.63E-04-8.02E-02-2.79E-04-2.42E-043.71E-050.000001, 0.000291S
      Superior frontal gyrus dorsal left-10, 20, 30394.36E-04-1.43E-01-1.79E-04-2.42E-04-6.26E-05-0.000321, -0.000009M
      Superior frontal gyrus medial right5, 25, 25103.57E-04-1.55E-01-1.86E-04-2.42E-04-5.52E-05-0.000432, -0.000006M
      Supramarginal gyrus left-34, -30, 22182.65E-04-1.80E-01-1.94E-04-2.42E-04-4.76E-05-0.000221, 0.000019M
      Superior temporal gyrus left-30, -27, 14151.91E-04-2.01E-01-2.03E-04-2.42E-04-3.85E-05-0.000185, 0.000021M
      Middle frontal gyrus left-19, 12, 31323.39E-04-1.00E-01-2.08E-04-2.42E-04-3.39E-05-0.000279, 0.000001M
      Angular gyrus left-33, -37, 23312.40E-04-1.34E-01-2.09E-04-2.42E-04-3.22E-05-0.000320, 0.000001M
      Inferior parietal lobule left-35, -30, 29181.95E-04-1.35E-01-2.15E-04-2.42E-04-2.64E-05-0.000248, 0.000006M
      Superior frontal gyrus medial left-2, 25, 26268.80E-05-2.09E-02-2.40E-04-2.42E-04-1.84E-06-0.000405, 0.000013M
      k – number of voxels within a cluster; a – independent variable-to-mediator relationship; b - mediator-to-dependent variable relationship; M/S – Mediation/Suppression.
      Mediation analyses also revealed significant negative indirect relationships (mediation). Here, greater UF volume was associated with greater OFC connectivity with DMN regions: superior frontal gyrus (dorsal, medial) and angular gyrus, and CEN regions: supramarginal gyrus, middle frontal gyrus, and inferior parietal lobule; and greater OFC-DMN and OFC-CEN connectivity was associated with lower NE (Fig. 2, Fig. S6). Thus, greater OFC-DMN and OFC-CEN connectivity mediated the negative relationship between UF volume and infant NE (Table 3).
      Including ICV as a covariate in this model produced largely similar network connectivity patterns of suppression and mediation (Supplement, Table S8, Fig. S7).

      Reverse Mediations: WM Mediates or Suppresses rsFC-Emotional Behavior Relationships

      Reverse mediations focused on the significant mediations described above; these analyses used dlPFC, PCC or OFC seed to whole-brain target rsFC as the independent variable, either PE or NE as the dependent variable and either CB volume or UF volume as the mediator. These reverse-direction mediation analyses largely confirmed the nature of the tripartite relationships among WM, rsFC and PE and NE shown in our main findings(Supplement).

      Discussion

      Dynamic reconfiguration of structural and functional connectivity across large-scale brain networks occurs throughout development, with associations between developmental changes in rsFC and WM structural connectivity(
      • Uddin LQ
      • Supekar KS
      • Ryali S
      • Menon V
      Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development.
      ). The present study extends this work to infancy, demonstrating that relationships between the morphology of key WM tracts within large-scale networks important for emotional regulation and early emotional behavior are influenced by underlying rsFC. We examined the CB, UF and FM, which link structures within the CEN and DMN(62). Our primary findings were that greater CB volume was significantly associated with lower PE; however, an adaptive pattern of lower rsFC between CEN and DMN structures suppressed this relationship, and was associated with greater PE. Greater UF volume was significantly associated with lower NE; however, lower OFC-amygdala and OFC-DMN rsFC suppressed this relationship, while greater OFC-CEN rsFC mediated this relationship.
      The CB is an association pathway connecting frontal, parietal and temporal areas(
      • Heilbronner SR
      • Haber SN
      Frontal Cortical and Subcortical Projections Provide a Basis for Segmenting the Cingulum Bundle: Implications for Neuroimaging and Psychiatric Disorders.
      ). We focused on the frontoparietal segment, which connects specific CEN (dlPFC) and DMN (PCC) anchors(
      • Heilbronner SR
      • Haber SN
      Frontal Cortical and Subcortical Projections Provide a Basis for Segmenting the Cingulum Bundle: Implications for Neuroimaging and Psychiatric Disorders.
      ). The CB is implicated in emotion, memory and attention-related processes and has the longest developmental trajectory of the major WM bundles(
      • Lebel C
      • Gee M
      • Camicioli R
      • Wieler M
      • Martin W
      • Beaulieu C
      Diffusion tensor imaging of white matter tract evolution over the lifespan.
      ). Thus, early differences in CB microstructure may have long-lasting consequences for emotional regulation. Our finding that greater CB volume was associated with lower PE in 3-month-old infants might reflect differences in WM or other microstructure, e.g., greater extracellular volume and/or greater dispersion of axons within the tract(

      Johansen-Berg H, Behrens TEJ (2009): Diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. First ed.: Elsevier Science.

      ), that diminish emotional regulation capacity. Alternatively, greater volume may indicate inefficient synaptic pruning contributing to dysfunction(
      • Kim HJ
      • Cho MH
      • Shim WH
      • Kim JK
      • Jeon EY
      • Kim DH
      • et al.
      Deficient autophagy in microglia impairs synaptic pruning and causes social behavioral defects.
      ).
      The negative relationship between CB volume and PE was suppressed by lower CEN-DMN rsFC(i.e., dlPFC connectivity with DMN structures, and PCC connectivity with MFG). Thus, lower CEN-DMN connectivity was associated with greater PE in the context of greater CB volume. Deactivation in DMN regions(
      • Raichle ME
      The brain's default mode network.
      ,
      • Taylor SF
      • Stern ER
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      Neural systems for error monitoring: recent findings and theoretical perspectives.
      ), alongside greater CEN activity and inverse CEN-DMN rsFC (or anticorrelation) during executive function and working memory tasks(
      • Raichle ME
      The brain's default mode network.
      ,
      • Taylor SF
      • Stern ER
      • Gehring WJ
      Neural systems for error monitoring: recent findings and theoretical perspectives.
      ,
      • Piccoli T
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      • Linden DEJ
      • Re M
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      The default mode network and the working memory network are not anti-correlated during all phases of a working memory task.
      ) is shown in adults(
      • Piccoli T
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      • Re M
      • Esposito F
      • Sack AT
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      The default mode network and the working memory network are not anti-correlated during all phases of a working memory task.
      ,
      • Gu H
      • Hu Y
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      • He Y
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      Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity.
      ) and youth(
      • Huang AS
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      Load-related brain activation predicts spatial working memory performance in youth aged 9–12 and is associated with executive function at earlier ages.
      ,
      • Satterthwaite TD
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      Functional maturation of the executive system during adolescence.
      ), and is thought to reduce interference from self-monitoring processes during cognitive tasks(
      • Gu H
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      • He Y
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      Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity.
      ,
      • Tomasi D
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      Common deactivation patterns during working memory and visual attention tasks: An intra‐subject fMRI study at 4 Tesla.
      ,
      • Zuo N
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      Activation‐based association profiles differentiate network roles across cognitive loads.
      ,
      • Fuentes-Claramonte P
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      ). Aberrant positive (or reduced inverse) CEN-DMN rsFC is associated with lower emotional regulation capacity and greater psychopathology risk(
      • Alonso‐Lana S
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      Investigating the neural basis of cognitive control dysfunction in mood disorders.
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      ), with emotional regulation deficits in preschool and school-age children(
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      ), and worsening depressive symptom severity in school-aged youth at familial risk for affective disorders(
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      ). Thus, our findings indicate that infants with greater CB volume but lower CEN-DMN rsFC might have more efficient switching capacity between these networks; these findings support a growing literature linking lower CEN-DMN rsFC with more adaptive emotional behavior, and suggest that these relationships emerge early in infancy.
      The UF is also a long-range association pathway(
      • Lebel C
      • Gee M
      • Camicioli R
      • Wieler M
      • Martin W
      • Beaulieu C
      Diffusion tensor imaging of white matter tract evolution over the lifespan.
      ), connecting cortical nuclei of the amygdala and the temporal pole/anterior temporal lobe with posterior orbitofrontal areas(
      • Liakos F
      • Komaitis S
      • Drosos E
      • Neromyliotis E
      • Skandalakis GP
      • Gerogiannis AI
      • et al.
      The Topography of the Frontal Terminations of the Uncinate Fasciculus Revisited Through Focused Fiber Dissections: Shedding Light on a Current Controversy and Introducing the Insular Apex as a Key Anatomoclinical Area.
      ). The UF connects DMN structures (temporal pole and inferior frontal lobe)(

      Nozais V, Forkel SJ, Petit L, Schotten MTd, Joliot M (2022): Atlasing white matter and grey matter joint contributions to resting-state networks in the human brain. Biorxiv.2022.2001.2010.475690.

      ) and the limbic network (including OFC and amygdala(
      • Seitzman BA
      • Snyder AZ
      • Leuthardt EC
      • Shimony JS
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      )) encompassed by the DMN(38), and supports formations of associations that motivate behavior and socio-emotional processing(
      • Von Der Heide RJ
      • Skipper LM
      • Klobusicky E
      • Olson IR
      Dissecting the uncinate fasciculus: disorders, controversies and a hypothesis.
      ). Our findings indicate that in 3-month-old infants, larger UF volume is associated with lower NE, indicating that larger UF volume might yield greater opportunity for efficient pruning and ultimately greater connectivity, facilitating greater emotional regulation and lower NE. Our previous preliminary findings indicated that lower structural integrity (normalized quantitative anisotropy) and greater volume within the UF at 3 months were associated with greater NE prospectively at 9 months(
      • Banihashemi L
      • Bertocci MA
      • Alkhars HM
      • Versace A
      • Northrup JB
      • Lee VK
      • et al.
      Limbic white matter structural integrity at 3 months prospectively predicts negative emotionality in 9-month-old infants_ a preliminary study.
      ), however, potentially reflecting lower organization and/or greater dispersion of axons in this tract, yielding lower emotional regulation capacity. Together, these findings suggest that the association between early UF volume and infant NE changes across development.
      The negative relationship between UF volume and NE was suppressed by patterns of OFC-amygdala and OFC-DMN(inferior frontal gyrus(IFG) and middle temporal gyrus) rsFC, such that lower OFC-amygdala and OFC-DMN rsFC were associated with greater NE. The OFC supports emotional processing and regulating and maintaining emotional responses(
      • Milad MR
      • Rauch SL
      The role of the orbitofrontal cortex in anxiety disorders.
      ); and the amygdala transmits salience and valence information to the anterior temporal lobe and OFC via the UF to guide cognitive processes, such as decision making(
      • Von Der Heide RJ
      • Skipper LM
      • Klobusicky E
      • Olson IR
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      ,
      • Smith DM
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      ). Thus, lower OFC-amygdala rsFC might be associated with diminished coupling of valence information transmitted to the OFC, leading to emotional dysregulation and NE in the context of greater UF volume. The left IFG supports empathy, semantic processing and executive processes, such as working memory(
      • Liakakis G
      • Nickel J
      • Seitz RJ
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      ); and evaluation of actions and forming internal representations(
      • Liakakis G
      • Nickel J
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      ). Lower OFC-IFG rsFC in infancy might thus be associated with diminished capacity to integrate emotional and cognitive processing, contributing to greater NE. By contrast, greater OFC-DMN(superior frontal gyrus(SFG)) and OFC-CEN rsFC were associated with lower NE in the context of greater UF volume. The role of the CEN in executive function(
      • Menon V
      Developmental pathways to functional brain networks: emerging principles.
      ,
      • Uddin LQ
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      • Spreng RN
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      ), and that of the SFG in working memory(
      • Courtney Susan M
      • Petit L
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      • Ungerleider Leslie G
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      ) and cognitive control(
      • Raichle ME
      The brain's default mode network.
      ) suggest that greater connectivity between the OFC and these regions enhances cognitive processes important for the expression and regulation of NE.
      We primarily focused on how WM-emotionality relationships were mediated/suppressed by rsFC. While it is well known that relationships between brain structure and function are reciprocal and important for global and integrative brain processes(
      • Honey CJ
      • Kötter R
      • Breakspear M
      • Sporns O
      Network structure of cerebral cortex shapes functional connectivity on multiple time scales.
      ,
      • Sporns O
      • Chialvo DR
      • Kaiser M
      • Hilgetag CC
      Organization, development and function of complex brain networks.
      ,
      • Sporns O
      • Tononi G
      • Edelman GM
      Connectivity and complexity: the relationship between neuroanatomy and brain dynamics.
      ), the neurodevelopmental directionality of these relationships is less well understood and difficult to disentangle. Notably, our reverse-direction mediation analyses with WM volume as the mediator largely confirmed the nature of the tripartite relationships among WM, rsFC and PE and NE shown in our main findings.
      Our initial GLMs indicated more robust effects of WM tract volume (i.e., CB volume-PE and UF volume-NE) than FA. Greater volume may indicate inefficient synaptic pruning(
      • Kim HJ
      • Cho MH
      • Shim WH
      • Kim JK
      • Jeon EY
      • Kim DH
      • et al.
      Deficient autophagy in microglia impairs synaptic pruning and causes social behavioral defects.
      ), contributing to a greater density of collinear fibers and thus, more efficient – i.e., stronger - functional coupling (i.e., connectivity) among regions connected by the tract, or a greater degree of dendritic arborization, leading to greater fiber dispersion and more inefficient, dysfunctional – i.e., weaker - functional coupling among connected regions. By contrast, FA reflects a combination of fiber collinearity(AD) and dispersion(RD), which would mask the differential patterns of relationships between collinearity-based and dispersion-based volume and NE/PE; and neither AD- nor RD-based analyses alone would capture the complexity of these relationships(Supplement).
      There were some limitations to this study; the sample size is modest, although post-hoc power analyses for the GLMs were robust, there was insufficient statistical power for testing moderating effects of sex or caregiver affect. While postnatal depression and affective instability were included as additional predictors, we did not account for effects of lifetime maternal psychiatric history on infant emotionality(
      • Durbin CE
      • Wilson S
      Convergent validity of and bias in maternal reports of child emotion.
      ,
      • Durbin CE
      • Klein DN
      • Hayden EP
      • Buckley ME
      • Moerk KC
      Temperamental emotionality in preschoolers and parental mood disorders.
      ). This sample was comprised of healthy, term-born infants; future studies should examine relationships among brain structure, function and infant emotionality in samples born pre-term or populations with greater levels of higher-risk prenatal exposures (e.g., poverty). Further, future studies can examine prospective relationships between neural measures and emotional behaviors, and how the development of the CB and UF predicts emotional behavior in infancy and later childhood. We also employed caregiver report of emotional behavior; future studies can examine more objective measures of infant behavior(e.g., independent observations). PE and NE were examined without accounting for other developmental processes(e.g., orienting, processing speed), thus, a potential limitation is the specificity of the observed brain-behavior associations(
      • Ellis CT
      • Skalaban LJ
      • Yates TS
      • Turk-Browne NB
      Attention recruits frontal cortex in human infants.
      ,
      • Grayson DS
      • Fair DA
      Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature.
      ). Another limitation is the use of DWI-derived tract volume, which can be subject to distortions and rely on specific tractography parameters; these limitations are partially mitigated by corrections and consistent parameters, however, future replication is necessary. Further, neurite orientation dispersion and density imaging(NODDI)-derived measures are outside the scope of the current analysis, however, future work will include these to delve into differences in intracellular and extracellular compartments(
      • Zhang H
      • Schneider T
      • Wheeler-Kingshott CA
      • Alexander DC
      NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain.
      ).
      To our knowledge, these findings are the first to demonstrate that in 3-month-old infants, relationships between WM and emotional behavior are differentially suppressed or mediated by underlying rsFC within large-scale networks. Examining relationships among neural network WM microstructure and endogenous network function is thus important for identifying neural markers of emotional dysregulation, and can guide the development of interventions that modulate these structure-function relationships in order to reduce risk for future behavioral health problems later in childhood and adolescence.

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      ACKNOWLEDGEMENTS

      This work was supported by the National Institutes of Health (R01MH115466 to MLP and AEH) and The Pittsburgh Foundation (MLP). The project described was also supported by the National Institutes of Health through Grant Number UL1 TR001857.

      Supplementary Material

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