Faculty Bibliography

Background: Transcranial photobiomodulation (t-PBM) with nearinfrared (NIR) light penetrates into the cerebral cortex and is absorbed by the mitochondrial enzyme cytochrome c oxidase (CCO), stimulating the mitochondrial respiratory chain. t-PBM also significantly increases cerebral blood flow (CBF) and oxygenation. Small studies have reported that t-PBM may be an effective treatment in major depressive disorder (MDD). However, relationships between t-PBM dose (irradiance and/or total energy) and clinical or biological effects are unclear. In this experimental medicine study, we evaluated the dose-dependent effects of t-PBM in MDD subjects.
Method(s): We enrolled subjects meeting DSM-5 criteria for MDD, not treatment-resistant (0-2 failed antidepressants in the current episode), either unmedicated or on stable doses of antidepressants, with no other significant medical or psychiatric comorbidities. All subjects underwent 4 t-PBM sessions in the MRI scanner, 1 week apart, administered in random order, with 1) sham (no energy emitted); 2) High dose: Pulse wave (PW), average irradiance 300mW/cm2, peak irradiance 900 mW/cm2, 42Hz, 33% duty cycle, 4.3 KJ total energy; 3) Medium dose: Continuous Wave (CW), 300 mW/cm2 irradiance, 2.4 KJ total energy; 4) Low dose: CW, 50mW/cm2 irradiance; 1.4 kJ total energy. Other t-PBM parameters were kept unchanged (808 nm; 12.0 cm2 x 2 treatment area; delivered to the anterior prefrontal cortex, bilaterally). Resting state multi-echo (3), multi-band (2) fMRI was recorded on a 3T Siemens Trio using a 12ch head coil (TR = 2500ms, TE1 = 12.8ms, TE2 = 32.33 ms, TE3 = 51.86 ms, 60 slices, slice thickness 2.5mm) before, during and after t-PBM, using measures of the change in blood-oxygenation-level dependent (BOLD) signal on fMRI as marker of target engagement (t-PBM effect on cerebral blood flow). The BOLD signal was preprocessed using standardized automated tools [AFNI]. In order to test whether t-PBM modulated the BOLD signal during and after tPBM, we performed a region-of-interest (ROI) analysis taking into account the illuminated region of the brain. We extracted the signal from the transverse frontopolar giry, bilateral (ROIs 6 and 81 from the Desikan atlas) and separated the resulting time series into the pre-, peri-, and post-stimulation segments. We then performed spectral analysis in order to measure the BOLD power during each segment, employing the Thomson multitaper technique to increase the signal-to-noise ratio of the ensuing power estimates. This produced three spectra for each echo and dose (before, during, and after stimulation). We then tested for significant differences in BOLD power spectrum both during and after stimulation in each t-PBM dose, compared to sham (Wilcoxon rank sum test, corrected for multiple comparisons by controlling the false discovery rate at 0.05).
Result(s): We analyzed data from the first 7 MDD subjects (age = 32.1 +/- 13.1; 57% female) undergoing all 4 experimental sessions. We found a dose-dependent effect of t-PBM on the BOLD. Namely, low-intensity t-PBM produced a marked decrease in BOLD that was observed in all three echos (p < 0.05, n = 7). The reduction in BOLD was most pronounced near 0.03 Hz at echos 2 and 3. In contrast, CW 300 mW/cm2 t-PBM increased BOLD power, with a significant increase resolved near 0.1 Hz at all 3 echos (p < 0.05, n = 7). This suggests that higher irradiance CW t-PBM increased the power of the "fast" component of the BOLD signal during stimulation. However, no significant differences from sham were observed during PW 300 mW/cm2 stimulation. We were also not able to detect any significant BOLD changes after tPBM (at any echo or t-PBM dose).
Conclusion(s): We found a U-shaped, dose-dependent effect of t-PBM on the BOLD, with the medium dose leading to an increase in the hemodynamic effect. These findings suggest that specific parameters of t-PBM (total energy, irradiance, CW versus PW) modulate the effect of near-infrared light on cerebral blood flow. This is important, as t-PBM doses optimized for their hemodynamic effect might also offer superior clinical efficacy

Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation approach in which low level currents are administered over the scalp to influence underlying brain function. Prevailing theories of tDCS focus on modulation of excitation-inhibition balance at the local stimulation location. However, network level effects are reported as well, and appear to depend upon differential underlying mechanisms. Here, we evaluated potential network-level effects of tDCS during the Serial Reaction Time Task (SRTT) using convergent EEG- and fMRI-based connectivity approaches. Motor learning manifested as a significant (p<.0001) shift from slow to fast responses and corresponded to a significant increase in beta-coherence (p<.0001) and fMRI connectivity (p<.01) particularly within the visual-motor pathway. Differential patterns of tDCS effect were observed within different parametric task versions, consistent with network models. Overall, these findings demonstrate objective physiological effects of tDCS at the network level that result in effective behavioral modulation when tDCS parameters are matched to network-level requirements of the underlying task.

BACKGROUND:Problem solving therapy (PST) and "Engage," a reward-exposure" based therapy, are important treatment options for late-life depression, given modest efficacy of antidepressants in this disorder. Abnormal function of the reward and default mode networks has been observed during depressive episodes. This study examined whether resting state functional connectivity (rsFC) of reward and DMN circuitries is associated with treatment outcomes. METHODS:Thirty-two older adults with major depression (mean age = 72.7) were randomized to 9-weeks of either PST or "Engage." We assessed rsFC at baseline and week 6. We placed seeds in three a priori regions of interest: subgenual anterior cingulate cortex (sgACC), dorsal anterior cingulate cortex (dACC), and nucleus accumbens (NAcc). Outcome measures included the Hamilton Depression Rating Scale (HAMD) and the Behavioral Activation for Depression Scale (BADS). RESULTS:In both PST and "Engage," higher rsFC between the sgACC and middle temporal gyrus at baseline was associated with greater improvement in depression severity (HAMD). Preliminary findings suggested that in "Engage" treated participants, lower rsFC between the dACC and dorsomedial prefrontal cortex at baseline was associated with HAMD improvement. Finally, in Engage only, increased rsFC from baseline to week 6 between NAcc and Superior Parietal Cortex was associated with increased BADS scores. CONCLUSION/CONCLUSIONS:The results suggest that patients who present with higher rsFC between the sgACC and a structure within the DMN may benefit from behavioral psychotherapies for late life depression. "Engage" may lead to increased rsFC within the reward system reflecting a reconditioning of the reward systems by reward exposure.

Importance/UNASSIGNED:Prescriptions for antipsychotic medications continue to increase across many brain disorders, including off-label use in children and elderly individuals. Concerning animal and uncontrolled human data suggest antipsychotics are associated with change in brain structure, but to our knowledge, there are no controlled human studies that have yet addressed this question. Objective/UNASSIGNED:To assess the effects of antipsychotics on brain structure in humans. Design, Setting, and Participants/UNASSIGNED:Prespecified secondary analysis of a double-blind, randomized, placebo-controlled trial over a 36-week period at 5 academic centers. All participants, aged 18 to 85 years, were recruited from the multicenter Study of the Pharmacotherapy of Psychotic Depression II (STOP-PD II). All participants had major depressive disorder with psychotic features (psychotic depression) and were prescribed olanzapine and sertraline for a period of 12 to 20 weeks, which included 8 weeks of remission of psychosis and remission/near remission of depression. Participants were then were randomized to continue receiving this regimen or to be switched to placebo and sertraline for a subsequent 36-week period. Data were analyzed between October 2018 and February 2019. Interventions/UNASSIGNED:Those who consented to the imaging study completed a magnetic resonance imaging (MRI) scan at the time of randomization and a second MRI scan at the end of the 36-week period or at time of relapse. Main Outcomes and Measures/UNASSIGNED:The primary outcome measure was cortical thickness in gray matter and the secondary outcome measure was microstructural integrity of white matter. Results/UNASSIGNED:Eighty-eight participants (age range, 18-85 years) completed a baseline scan; 75 completed a follow-up scan, of which 72 (32 men and 40 women) were useable for final analyses. There was a significant treatment-group by time interaction in cortical thickness (left, t = 3.3; P = .001; right, t = 3.6; P < .001) but not surface area. No significant interaction was found for fractional anisotropy, but one for mean diffusivity of the white matter skeleton was present (t = -2.6, P = .01). When the analysis was restricted to those who sustained remission, exposure to olanzapine compared with placebo was associated with significant decreases in cortical thickness in the left hemisphere (β [SE], 0.04 [0.009]; t34.4 = 4.7; P <.001), and the right hemisphere (β [SE], 0.03 [0.009]; t35.1 = 3.6; P <.001). Post hoc analyses showed that those who relapsed receiving placebo experienced decreases in cortical thickness compared with those who sustained remission. Conclusions and Relevance/UNASSIGNED:In this secondary analysis of a randomized clinical trial, antipsychotic medication was shown to change brain structure. This information is important for prescribing in psychiatric conditions where alternatives are present. However, adverse effects of relapse on brain structure support antipsychotic treatment during active illness. Trial Registration/UNASSIGNED:ClinicalTrials.gov Identifier: NCT01427608.

Major depressive disorder with psychotic features (psychotic depression) is a severe disorder. Compared with other psychotic disorders such as schizophrenia, relatively few studies on the neurobiology of psychotic depression have been pursued. Neuroimaging studies investigating psychotic depression have provided evidence for distributed structural brain abnormalities implicating the insular cortex and limbic system. We examined structural brain networks in participants (N = 245) using magnetic resonance imaging. This sample included healthy controls (n = 159) and the largest cross-sectional sample of patients with remitted psychotic depression (n = 86) collected to date. All patients participated in the Study of Pharmacotherapy of Psychotic Depression II randomized controlled trial. We used a novel, whole-brain, data-driven parcellation technique-non-negative matrix factorization-and applied it to cortical thickness data to derive structural covariance networks. We compared patients with remitted psychotic depression to healthy controls and found that patients had significantly thinner cortex in five structural covariance networks (insular-limbic, occipito-temporal, temporal, parahippocampal-limbic, and inferior fronto-temporal), confirming our hypothesis that affected brain networks would incorporate cortico-limbic regions. We also found that cross-sectional depression and severity scores at the time of scanning were associated with the insular-limbic network. Furthermore, the insular-limbic network predicted future severity scores that were collected at the time of recurrence of psychotic depression or sustained remission. Overall, decreased cortical thickness was found in five structural brain networks in patients with remitted psychotic depression and brain-behavior relationships were observed, particularly between the insular-limbic network and illness severity.

We report on the ongoing R21 project "Social Reward Learning in Schizophrenia". Impairments in social cognition are a hallmark of schizophrenia. However, little work has been done on social reward learning deficits in schizophrenia. The overall goal of the project is to assess social reward learning in schizophrenia. A probabilistic reward learning (PRL) task is being used in the MRI scanner to evaluate reward learning to negative and positive social feedback. Monetary reward learning is used as a comparison to assess specificity. Behavioral outcomes and brain areas, included those involved in reward, are assessed in patients with schizophrenia or schizoaffective disorder and controls. It is also critical to determine whether decreased expected value (EV) of social stimuli and/or reward prediction error (RPE) learning underlie social reward learning deficits to inform potential treatment pathways. Our central hypothesis is that the pattern of social learning deficits is an extension of a more general reward learning impairment in schizophrenia and that social reward learning deficits critically contribute to deficits in social motivation and pleasure. We hypothesize that people with schizophrenia will show impaired behavioral social reward learning compared to controls, as well as decreased ventromedial prefrontal cortex (vmPFC) EV signaling at time of choice and decreased striatal RPE signaling at time of outcome, with potentially greater impairment to positive than negative feedback. The grant is in its second year. It is hoped that this innovative approach may lead to novel and more targeted treatment approaches for social cognitive impairments, using cognitive remediation and/or brain stimulation.

Functional connectivity (FC) maps from brain fMRI data can be derived with dual regression, a proposed alternative to traditional seed-based FC (SFC) methods that detect temporal correlation between a predefined region (seed) and other regions in the brain. As with SFC, incorporating nuisance regressors (NR) into the dual regression must be done carefully, to prevent potential bias and insensitivity of FC estimates. Here, we explore the potentially untoward effects on dual regression that may occur when NR correlate highly with the signal of interest, using both synthetic and real fMRI data to elucidate mechanisms responsible for loss of accuracy in FC maps. Our tests suggest significantly improved accuracy in FC maps derived with dual regression when highly correlated temporal NR were omitted. Single-map dual regression, a simplified form of dual regression that uses neither spatial nor temporal NR, offers a viable alternative whose FC maps may be more easily interpreted, and in some cases be more accurate than those derived with standard dual regression.

BACKGROUND:Transcranial direct current stimulation (tDCS) is a potentially novel treatment for antipsychotic-resistant auditory verbal hallucinations (AVH) in schizophrenia. Nevertheless, results have been mixed across studies. METHODS:89 schizophrenia/schizoaffective subjects (active: 47; Sham: 42) were randomized to five days of twice-daily 20-min active tDCS vs. sham treatments across two recruitment sites. AVH severity was assessed using the Auditory Hallucination Rating Scale (AHRS) total score. To assess target engagement, MRI was obtained in a sub sample. RESULTS:We observed a statistically significant, moderate effect-size change in AHRS total score across one-week and one-month favoring active treatment following covariation for baseline symptoms and antipsychotic dose (p = 0.036; d = 0.48). Greatest change was observed on the AHRS loudness item (p = 0.003; d = 0.69). In exploratory analyses, greatest effects on AHRS were observed in patients with lower cognitive symptoms (d = 0.61). In target engagement analysis, suprathreshold mean field-strength (>0.2 V/m) was seen within language-sensitive regions. However, off-target field-strength, which correlated significantly with less robust clinical response, was observed in anterior regions. CONCLUSIONS:This is the largest study of tDCS for persistent AVH conducted to date. We replicate previous reports of significant therapeutic benefit, but only if medication dosage is considered, with patients receiving lowest medication dosage showing greatest effect. Response was also greatest in patients with lowest levels of cognitive symptoms. Overall, these findings support continued development of tDCS for persistent AVH, but also suggest that response may be influenced by specific patient and treatment characteristics. CLINICALTRIALS.GOV: NCT01898299.

BACKGROUND:White matter hyperintensities (WMH) represent ischemic white matter damage in late-life depression (LLD) and are associated with cognitive control dysfunction. Understanding the impact of WMH on the structural connectivity of gray matter and the cognitive control correlates of WMH-related structural dysconnectivity can provide insight into the pathophysiology of LLD. METHODS:We compared WMH burden and performance on clinical measures of cognitive control in patients with LLD (N = 44) and a control group of non-depressed older adults (N = 59). We used the Network Modification (NeMo) Tool to investigate the impact of WMH on structural dysconnectivity in specific gray matter regions, and how such connectivity was related to cognitive control functions. RESULTS:Compared to the control group, LLD participants had greater WMH burden, poorer performance on Trail Making Test (TMT) A & B, and greater self-reported dysexecutive behavior on the Frosntal Systems Behavior Scale-Executive Function subscale (FrSBe-EF). Within the LLD group, disrupted connectivity in the left supramarginal gyrus, paracentral lobule, thalamus, and pallidum was associated with psychomotor slowing (TMT-A). Altered connectivity in the left supramarginal gyrus, paracentral lobule, precentral gyrus, postcentral gyrus, thalamus, and pallidum was associated with poor attentional set-shifting (TMT-B). A follow-up analysis that isolated set-shifting ability (TMT-B/A ratio) confirmed the association with dysconnectivity in the bilateral paracentral lobule, right thalamus, left precentral gyrus, postcentral gyrus, and pallidum; additionally, it revealed associations with dysconnectivity in the right posterior cingulate, and left anterior cingulate, middle frontal cortex, and putamen. CONCLUSIONS:In LLD, WMH are associated with region-specific disruptions in cortical and subcortical gray matter areas involved in attentional aspects of cognitive control systems and sensorimotor processing, which in turn are associated with slower processing speed, and reduced attentional set-shifting. CLINICAL TRIALS REGISTRATION/BACKGROUND:https://clinicaltrials.gov/ct2/show/NCT01728194.