The clinical utility of brain SPECT imaging in process addictions.

Brain SPECT imaging is a nuclear medicine study that uses isotopes bound to neurospecific pharmaceuticals to evaluate regional cerebral blood flow (rCBF) and indirectly metabolic activity. With current available technology and knowledge SPECT has the potential to add important clinical information to benefit patient care in many different areas of a substance abuse practice, including in the area of process addictions. This article explores the ways brain SPECT has the potential to be useful to clinicians in helping to understand and direct treatment for complex cases of obesity and sexual addictions. Areas where SPECT can add value include helping clinicians ask betterquestions, helping them in making more complete diagnoses, evaluating underlying brain systems pathology, decreasing stigma and increasing compliance, and visualizing effectiveness via follow-up evaluations. In particular, SPECT can help in identifying and assessing the issue of brain trauma and toxicity in process addictions, which may be significant contributing factors in treatment failure. Three illustrative case histories will be given.

Specific ways brain SPECT imaging enhances clinical psychiatric practice.

Our objective was to ascertain in a prospective case series how often brain single photon emission computed tomography (SPECT) neuroimaging adds relevant information for diagnosis and/or treatment beyond current standard assessment tools in complex psychiatric cases. Charts of 109 consecutively evaluated outpatients from four psychiatrics clinics that routinely utilize SPECT imaging for complex cases were analyzed in two stages. In stage one, psychiatrists reviewed detailed clinical histories, mental status exams, and the structured clinical interview for DSM-IV, but not the results of SPECT studies, assigned a diagnosis based on DSM-IV criteria, and then developed a comprehensive treatment plan. In stage two, evaluators were given access to the SPECT studies for each patient. The addition of SPECT modified the diagnosis or treatment plan in 78.9% (n=86; rated level 2 or 3 change) of cases. The most clinically significant changes were undetected brain trauma (22.9%), toxicity patterns (22.9%) and the need for a structural imaging study (9.2%). Specific functional abnormalities were seen as follows that potentially could impact treatment: temporal lobe dysfunction (66.1%) and prefrontal hypoperfusion (47.7%). SPECT has the potential to add clinically meaningful information to enhance patient care beyond current assessment tools in complex or treatment resistant cases.

Impact of playing American professional football on long-term brain function.

The authors recruited 100 active and former National Football League players, representing 27 teams and all positions. Players underwent a clinical history, brain SPECT imaging, qEEG, and multiple neuropsychological measures, including MicroCog. Relative to a healthy-comparison group, players showed global decreased perfusion, especially in the prefrontal, temporal, parietal, and occipital lobes, and cerebellar regions. Quantitative EEG findings were consistent, showing elevated slow waves in the frontal and temporal regions. Significant decreases from normal values were found in most neuropsychological tests. This is the first large-scale brain-imaging study to demonstrate significant differences consistent with a chronic brain trauma pattern in professional football players.

Reversing brain damage in former NFL players: implications for traumatic brain injury and substance abuse rehabilitation.

Brain injuries are common in professional American football players. Finding effective rehabilitation strategies can have widespread implications not only for retired players but also for patients with traumatic brain injury and substance abuse problems. An open label pragmatic clinical intervention was conducted in an outpatient neuropsychiatric clinic with 30 retired NFL players who demonstrated brain damage and cognitive impairment. The study included weight loss (if appropriate); fish oil (5.6 grams a day); a high-potency multiple vitamin; and a formulated brain enhancement supplement that included nutrients to enhance blood flow (ginkgo and vinpocetine), acetylcholine (acetyl-l-carnitine and huperzine A), and antioxidant activity (alpha-lipoic acid and n-acetyl-cysteine). The trial average was six months. Outcome measures were Microcog Assessment of Cognitive Functioning and brain SPECT imaging. In the retest situation, corrected for practice effect, there were statistically significant increases in scores of attention, memory, reasoning, information processing speed and accuracy on the Microcog. The brain SPECT scans, as a group, showed increased brain perfusion, especially in the prefrontal cortex, parietal lobes, occipital lobes, anterior cingulate gyrus and cerebellum. This study demonstrates that cognitive and cerebral blood flow improvements are possible in this group with multiple interventions.

Proteasome inhibition triggers activity-dependent increase in the size of the recycling vesicle pool in cultured hippocampal neurons.

The ubiquitin proteasome system, generally known for its function in protein degradation, also appears to play an important role in regulating membrane trafficking. A role for the proteasome in regulating presynaptic release and vesicle trafficking has been proposed for invertebrates, but it remains to be tested in mammalian presynaptic terminals. We used the fluorescent styrylpyridinium dye FM4-64 to visualize changes in the recycling pool of vesicles in hippocampal culture under pharmacological inhibition of the proteasome. We found that a 2 h inhibition increases the recycling pool of vesicles by 76%, with no change in the rate or total amount of dye release. Interestingly, enhancement did not depend on protein synthesis but did depend on synaptic activity; blocking action potentials during proteasome inhibition abolished the effect whereas increasing neuronal activity accelerated the effect with an increased recycling pool evident after 15 min. We propose that the proteasome acts as a negative-feedback regulator of synaptic transmission, possibly serving a homeostatic role.

Gender-Based Cerebral Perfusion Differences in 46,034 Functional Neuroimaging Scans.

BACKGROUND: Studies have reported that females have widespread increases in regional cerebral blood flow, but the studies were relatively small and inconsistent. OBJECTIVE: Here we analyzed a healthy and a very large clinical psychiatric population to determine the effect of gender, using single photon emission computed tomography (SPECT). METHODS: Whole brain and region of interest (ROI) gender differences were analyzed in a total of 46,034 SPECT scans at baseline and concentration. The sample included 119 healthy subjects and 26,683 patients (60.4% male, 39.6% female); a subset of 11,587 patients had complete diagnostic information. A total of 128 regions were analyzed according to the AAL Atlas, using ROI Extract and SPSS statistical software programs, controlling for age, diagnoses, and correcting for multiple comparisons. RESULTS: Compared to males, healthy females showed significant whole brain (p < 0.01) and ROI increases in 65 baseline and 48 concentration regions (p < 0.01 corrected). Healthy males showed non-significant increases in 9 and 22 regions, respectively. In the clinical group, there were widespread significant increases in females, especially in the prefrontal and limbic regions, and specific increases in males in the inferior occipital lobes, inferior temporal lobes, and lobule 7 and Crus 2 of the cerebellum. These findings were replicated in the subset of 11,587 patients with the effect of diagnoses removed. CONCLUSIONS: Our results demonstrated significant gender differences in a healthy and clinical population. Understanding these differences is crucial in evaluating functional neuroimaging and may be useful in understanding the epidemiological gender differences among psychiatric disorders.

Perfusion Neuroimaging Abnormalities Alone Distinguish National Football League Players from a Healthy Population.

BACKGROUND: National Football League (NFL) players are exposed to multiple head collisions during their careers. Increasing awareness of the adverse long-term effects of repetitive head trauma has raised substantial concern among players, medical professionals, and the general public. OBJECTIVE: To determine whether low perfusion in specific brain regions on neuroimaging can accurately separate professional football players from healthy controls. METHOD: A cohort of retired and current NFL players (n = 161) were recruited in a longitudinal study starting in 2009 with ongoing interval follow up. A healthy control group (n = 124) was separately recruited for comparison. Assessments included medical examinations, neuropsychological tests, and perfusion neuroimaging with single photon emission computed tomography (SPECT). Perfusion estimates of each scan were quantified using a standard atlas. We hypothesized that hypoperfusion particularly in the orbital frontal, anterior cingulate, anterior temporal, hippocampal, amygdala, insular, caudate, superior/mid occipital, and cerebellar sub-regions alone would reliably separate controls from NFL players. Cerebral perfusion differences were calculated using a one-way ANOVA and diagnostic separation was determined with discriminant and automatic linear regression predictive models. RESULTS: NFL players showed lower cerebral perfusion on average (p < 0.01) in 36 brain regions. The discriminant analysis subsequently distinguished NFL players from controls with 90% sensitivity, 86% specificity, and 94% accuracy (95% CI 95-99). Automatic linear modeling achieved similar results. Inclusion of age and clinical co-morbidities did not improve diagnostic classification. CONCLUSION: Specific brain regions commonly damaged in traumatic brain injury show abnormally low perfusion on SPECT in professional NFL players. These same regions alone can distinguish this group from healthy subjects with high diagnostic accuracy. This study carries implications for the neurological safety of NFL players.

Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population.

PTSD and TBI are two common conditions in veteran populations that can be difficult to distinguish clinically. The default mode network (DMN) is abnormal in a multitude of neurological and psychiatric disorders. We hypothesize that brain perfusion SPECT can be applied to diagnostically separate PTSD from TBI reliably in a veteran cohort using DMN regions. A group of 196 veterans (36 with PTSD, 115 with TBI, 45 with PTSD/TBI) were selected from a large multi-site population cohort of individuals with psychiatric disease. Inclusion criteria were peacetime or wartime veterans regardless of branch of service and included those for whom the traumatic brain injury was not service related. SPECT imaging was performed on this group both at rest and during a concentration task. These measures, as well as the baseline-concentration difference, were then inputted from DMN regions into separate binary logistic regression models controlling for age, gender, race, clinic site, co-morbid psychiatric diseases, TBI severity, whether or not the TBI was service related, and branch of armed service. Predicted probabilities were then inputted into a receiver operating characteristic analysis to compute sensitivity, specificity, and accuracy. Compared to PSTD, persons with TBI were older, male, and had higher rates of bipolar and major depressive disorder (p < 0.05). Baseline quantitative regions with SPECT separated PTSD from TBI in the veterans with 92 % sensitivity, 85 % specificity, and 94 % accuracy. With concentration scans, there was 85 % sensitivity, 83 % specificity and 89 % accuracy. Baseline-concentration (the difference metric between the two scans) scans were 85 % sensitivity, 80 % specificity, and 87 % accuracy. In separating TBI from PTSD/TBI visual readings of baseline scans had 85 % sensitivity, 81 % specificity, and 83 % accuracy. Concentration scans had 80 % sensitivity, 65 % specificity, and 79 % accuracy. Baseline-concentration scans had 82 % sensitivity, 69 % specificity, and 81 % accuracy. For separating PTSD from PTSD/TBI baseline scans had 87 % sensitivity, 83 % specificity, and 92 % accuracy. Concentration scans had 91 % sensitivity, 76 % specificity, and 88 % accuracy. Baseline-concentration scans had 84 % sensitivity, 64 % specificity, and 85 % accuracy. This study demonstrates the ability to separate PTSD and TBI from each other in a veteran population using functional neuroimaging.

Functional Neuroimaging Distinguishes Posttraumatic Stress Disorder from Traumatic Brain Injury in Focused and Large Community Datasets.

BACKGROUND: Traumatic brain injury (TBI) and posttraumatic stress disorder (PTSD) are highly heterogeneous and often present with overlapping symptomology, providing challenges in reliable classification and treatment. Single photon emission computed tomography (SPECT) may be advantageous in the diagnostic separation of these disorders when comorbid or clinically indistinct. METHODS: Subjects were selected from a multisite database, where rest and on-task SPECT scans were obtained on a large group of neuropsychiatric patients. Two groups were analyzed: Group 1 with TBI (n=104), PTSD (n=104) or both (n=73) closely matched for demographics and comorbidity, compared to each other and healthy controls (N=116); Group 2 with TBI (n=7,505), PTSD (n=1,077) or both (n=1,017) compared to n=11,147 without either. ROIs and visual readings (VRs) were analyzed using a binary logistic regression model with predicted probabilities inputted into a Receiver Operating Characteristic analysis to identify sensitivity, specificity, and accuracy. One-way ANOVA identified the most diagnostically significant regions of increased perfusion in PTSD compared to TBI. Analysis included a 10-fold cross validation of the protocol in the larger community sample (Group 2). RESULTS: For Group 1, baseline and on-task ROIs and VRs showed a high level of accuracy in differentiating PTSD, TBI and PTSD+TBI conditions. This carefully matched group separated with 100% sensitivity, specificity and accuracy for the ROI analysis and at 89% or above for VRs. Group 2 had lower sensitivity, specificity and accuracy, but still in a clinically relevant range. Compared to subjects with TBI, PTSD showed increases in the limbic regions, cingulum, basal ganglia, insula, thalamus, prefrontal cortex and temporal lobes. CONCLUSIONS: This study demonstrates the ability to separate PTSD and TBI from healthy controls, from each other, and detect their co-occurrence, even in highly comorbid samples, using SPECT. This modality may offer a clinical option for aiding diagnosis and treatment of these conditions.

Multi-site six month outcome study of complex psychiatric patients evaluated with addition of brain SPECT imaging.

BACKGROUND: Psychiatric diagnoses are made primarily through clinical histories, with psychiatrists searching for DSM (Diagnostic and Statistical Manual of Mental Disorders)-driven symptom clusters, and outcomes for patients have not substantially improved in decades for many disorders. PRIMARY STUDY OBJECTIVE: In this study, the research team examined the outcome impact of the addition of single photon emission computed tomography (SPECT) to the assessment of complex patients. DESIGN: The research team designed a multisite, prospective, 6-mo outcome study. The study was completed after final outcome measures were obtained on 500 participants. SETTING: The study occurred in four psychiatric clinics, the Amen Clinics in Newport Beach and San Francisco, CA; Bellevue, WA; and Reston, VA. PARTICIPANTS: Participants were new outpatients at the four clinics who were entered into the study between January 2011 and August 2012. PRIMARY OUTCOME MEASURES: Evaluations included (1) histories, (2) mental-status examinations, (3) a Structured Clinical Interview for DSM-IV (SCID-IV), (4) the Beck Depression Inventory-II (BDI-II), (5) the Brief Symptom Inventory (BSI), (6) the Quality of Life Inventory (QOLI), and (7) brain SPECT scans during rest and concentration. At 6 mo, standardized outcome measurements were readministered (BDI-II, BSI, QOLI), and the research team asked questions about improvement and compliance. RESULTS: Seventy-five percent of participants reported significant clinical improvement; 55% reported being "very compliant," 41% "somewhat compliant," and 4% "noncompliant." Significant improvements were observed across all three assessments: (1) BDI, 360 out of 500 (72%) participants decreased, mean difference=-6.92; (2) BSI, 367 out of 461 (80%) participants decreased, mean difference=-0.39.; (3) QOLI, 427 (85%) of participants improved) at 6 mo (Hotelling T2=460; P<.0001), mean difference=+1.65. Net improvement was measured at 81% (n=405). CONCLUSIONS: To the research team's knowledge, this study is the first outcome study of complex psychiatric patients using SPECT as an additional diagnostic tool and demonstrating significant improvement. Further studies comparing the addition of brain SPECT to "treatment as usual" groups are warranted.

Effects of brain-directed nutrients on cerebral blood flow and neuropsychological testing: a randomized, double-blind, placebo-controlled, crossover trial.

CONTEXT: In a prior open trial of professional football players who displayed the effects of traumatic brain injury, the current reserach team reported significant improvements in clinical symptoms, neuropsychological testing and regional cerebral blood flow (rCBF) following the use of brain-directed nutrients (BDNs) and lifestyle interventions. OBJECTIVE: The current study intended to determine whether supplementation with BDNs improved rCBF and neuropsychological function in healthy individuals. DESIGN: The current study was a randomized, doubleblind, placebo-controlled, crossover trial, which was a more rigorous reseach design than the prior study and did not include lifestyle interventions. SETTING: Participants underwent evaluation and testing at the Amen Clinics, Inc, a private medical facility in Newport Beach, CA. PARTICIPANTS: Thirty healthy adult (15 male and 15 female) participants were recruited from the community though local advertising and met the requirements for eligibility into the study. Twenty-five individuals completed the study, with dropout due to events unrelated to the study itself. INTERVENTION: The participants were randomly assigned to a treatment order for intervention, either placebo or brain supplements first. The BDNs treatment was comprised of three supplements: fish oil; a high-potency, multiple vitamin/mineral supplement; and a brainenhancement supplement. The placebo treatment was two supplements comprised of rice flour to replace the multiple vitamin/mineral complex and the brain-enhancement supplement and one supplement made of other oils to replace the fish-oil mixture. After 2 mo of this first intervention, a crossover intervention occurred for a final 2 mo, in which participants formerly receiving BDNs received a placebo treatment and participants formerly treated with placebo received the BDNs treatment. OUTCOME MEASURES: Primary outcome measures included (1) an analysis of the changes in rCBF using SPECT and (2) an assessment of the differences in cognitive and emotional function using the MicroCog (cognitive performance), the WebNeuro (emotional state), and three psychological inventories-the Beck Depression Inventory (BDI-II), Brief Symptom Inventory (BSI), and Quality of Life Inventory (QOLI). RESULTS: A region of interest (ROI) analysis for each of the 2-mo phases (baseline, then placebo and treatment according to randomized order) showed significant improvement in rCBF for the BDNs as compared to the placebo (as assigned at the start of the first intervention) in the prefrontal cortex, anterior and posterior cingulate gyrus, hippocampus, and cerebellum. Significant improvements were observed for the BDNs (1) on the MicroCog-reasoning, P=.008; memory, P=.014; information processing accuracy, P=.027; (2) on the WebNeuro-executive function, P=.002, information processing efficiency, P=.015; depressed mood, P=.017, and emotional identification, P=.041; and (3) on the BSI-positive symptom total, P=.024 and reduced hostility, P=.018. For the last, significance occurred upon accounting for the effect of order. CONCLUSION: This study demonstrates the potential effectiveness of BDNs in enhancing rCBF and neuropsychological function across various cognitive and psychological domains.

Elevated BMI is associated with decreased blood flow in the prefrontal cortex using SPECT imaging in healthy adults.

Obesity is a risk factor for stroke and neurodegenerative disease. Excess body fat has been linked to impaired glucose metabolism, insulin resistance, and impulsivity and may be a precursor to decline in attention and executive cognitive function. Here, we investigated the effects of high BMI on regional cerebral blood flow (rCBF) using single photon emission computed tomography (SPECT) imaging in healthy subjects. A total of 16 adult men and 20 adult women were recruited from the community between January 2003 and July 2009 as part of a healthy brain study (HBS) conducted at the Amen Clinics, a private medical facility. Participants in the study were screened to exclude medical, neurological, and psychiatric conditions, including substance abuse. Subjects were categorized as normal or overweight according to BMI. Using a two sample t-test, we determined the effects of BMI on rCBF in normal vs. overweight subjects. Subjects were matched for age and gender. Statistical parametric mapping (SPM) revealed a higher BMI in healthy individuals that is associated with decreased rCBF in Broadmann areas 8, 9, 10, 11, 32, and 44, brain regions involved in attention, reasoning, and executive function (P < 0.05, corrected for multiple comparisons). We found that an elevated BMI is associated with decreased rCBF in the prefrontal cortex of a healthy cohort. These results indicate that elevated BMI may be a risk factor for decreased prefrontal cortex function and potentially impaired executive function.

Brain SPECT Imaging in Complex Psychiatric Cases: An Evidence-Based, Underutilized Tool.

Over the past 20 years brain Single Photon Emission Computed Tomography (SPECT) imaging has developed a substantial, evidence-based foundation and is now recommended by professional societies for numerous indications relevant to psychiatric practice. Unfortunately, SPECT in clinical practice is utilized by only a handful of clinicians. This article presents a rationale for a more widespread use of SPECT in clinical practice for complex cases, and includes seven clinical applications where it may help optimize patient care.